Europe is not one creator market. A country can have a large Instagram audience without a proportionately large creator pool, while a smaller market can have high creator density without enough relevant profiles for a large campaign. This study separates absolute supply, creator density and estimated audience penetration, compares the region with the United States, maps six creator niches in the six largest markets, and draws on two other Influencity studies for evidence on creator performance.

Figure 01 → Instagram creator density across the 30-market study footprint, 2026. Counts refer to profiles, not unique people. Markets outside the footprint are not shown, not zero. Source: [1].

A large discovery universe, not a ready-made campaign roster. The dataset contains 12.41M eligible profiles against 294.5M estimated users: a creator density of 4.21%. Eligibility does not demonstrate campaign experience, availability or performance.

Six markets account for 76.7% of recorded creator supply. Russia, the United Kingdom, Italy, Spain, Germany and France contain 9,514,706 profiles. The top three alone account for 51.0%.

Italy combines scale with high density. Its 1,656,396 profiles produce a density of 5.54%, nearly matching Cyprus at 5.57%.

Nine markets sit above the weighted regional density benchmark. Cyprus, Italy, Malta, Greece, Spain, the UK, Ireland, Portugal and Russia exceed 4.21%. A higher ratio is not evidence of better campaign returns.

Portugal leads estimated audience penetration, not creator density. Its 6.35M estimated users equal 61.1% of the population reference, versus 43.9% across the study footprint. Its creator density is 4.77%.

Female-classified profiles are the majority in every country total. The regional female share is 59.8% among male/female-classified profiles. Switzerland and Greece are closest to parity, at 50.0% and 50.1%.

Almost one-third of profiles have no gender classification. The 3,916,183 unclassified profiles represent 31.6% of the headline total, against 21.5% in the US. Female-classified profiles are 40.9% of all eligible profiles, not 59.8%. [1, 5]

The mega tier reverses the classified gender majority. Male-classified entries represent 55.5% of the 6,363 classified mega records. In the US Instagram data the mega tier is near parity (50.1% female). [1, 5]

Europe has a bigger pool than the US, but lower density and less variation. Europe records 38.7% more eligible profiles and 52.9% more estimated users than the US, but 4.21% density against 4.64%, and 18.5 profiles per 1,000 residents against 26.2. European market densities range 2.1-fold; US state densities range 6.2-fold. [1, 5]

TikTok's density advantage looks similar on both sides of the Atlantic. In the regional summary, TikTok's European density is about 2.01 times Instagram's; in the US the ratio is 2.04. [1, 4, 5, 6]

Fashion leads the niche mix in every large market. Across Russia, the UK, Italy, Spain, Germany and France, 2,976,962 profiles carry a fashion tag, ahead of food (2,251,397) and travel (2,084,451). Beauty is the most female-skewed niche (73.8% of classified profiles); tech & gaming is closest to parity (50.5%). Niche tags overlap, so counts cannot be added. [12]

Sources: Influencity 2026 Europe dataset [1]; TikTok summary [4]; US comparison [5, 6]; creator-niche query [12]. Calculations use unrounded values.

Across the 30 countries covered, the dataset records 670.2M people in its population reference field, 294.5M estimated Instagram users and 12.41M eligible creator profiles. These figures describe different statistical units and should not be used interchangeably. [1]

Key findings: market size

• Concentration. Five markets (Russia, the United Kingdom, Italy, Spain and Germany) hold 69.6% of Europe’s 12.41M eligible Instagram profiles. They account for 63.5% of estimated users.
• Southern Europe. Six Southern European markets (Italy, Spain, Portugal, Greece, Cyprus and Malta) hold 29.0% of eligible profiles but 23.2% of estimated users. Their combined creator density is 5.27%.
• Germany vs Italy. Germany has 1.4M more estimated Instagram users than Italy. Italy has 683,534 more eligible profiles, giving it 1.70 times Germany’s count.
• Below the average. Only 9 of the 30 markets exceed the regional creator density of 4.21%. The typical market sits below it: the median is 3.59%.
• Range. Creator density runs from 2.69% in Luxembourg to 5.57% in Cyprus, a 2.07-fold range.

Reading the study. Influencity 2026 Instagram Europe dataset, 30 markets, point-in-time 2026 snapshot. Profiles are recorded accounts, not unique people.

Figure 02 → Influencity 2026 Instagram Europe dataset, 30 markets, point-in-time 2026 snapshot. Source: [1].

Three questions, three metrics

How many profiles can we potentially discover? Start with the absolute eligible-profile count.

How large is that pool relative to Instagram audience estimates? Use creator density.

How large is the estimated Instagram audience relative to population? Use audience penetration.

The regional ratios are weighted, summed eligible profiles divided by summed users, or summed users divided by summed population. They are not simple averages of the 30 country percentages, which prevents small markets from carrying the same weight as much larger markets.

The difference is material. The simple average of the 30 country densities is 3.84%, against the weighted regional figure of 4.21%, because several of the largest markets are also among the most creator-dense.

Where the creator pool sits

Seven in ten eligible profiles are in five markets. Russia (23.2%), the United Kingdom (14.4%), Italy (13.4%), Spain (10.8%) and Germany (7.8%) together hold 69.6% of the 12,407,130 eligible profiles. The same five markets account for 63.5% of estimated Instagram users and 60.2% of the population reference.

At the other end, the 15 smallest markets by profile count hold 6.7% of the regional pool combined. Russia alone (2,880,629 profiles) records more eligible profiles than Germany, France and Poland put together (2,214,881).

Influencer discovery at scale is easiest in a handful of markets. However, a regional roster built only by volume will be dominated by those five markets, so pan-European campaigns need country quotas if smaller markets matter commercially.

Figure 03 → Five markets hold 69.6% of eligible profiles. Source: [1].

Adoption and creator density move together

Markets where more of the population uses Instagram also tend to have denser creator pools. Across the 30 markets, the users-to-population ratio and creator density have a Spearman rank correlation of 0.67. Portugal has the highest estimated adoption at 61.1%, and its density is 4.77%. Bulgaria (29.2%) and Hungary (29.7%) have the lowest adoption, with densities of 3.11% and 2.79%.

Market size itself shows almost no relationship with density: the rank correlation between estimated users and density is 0.16.

Reading the study. This is an association across 30 snapshots. It does not show that adoption causes creator supply. Shared factors such as language, platform history and how the user estimates are compiled could drive both.

Figure 04 → Higher Instagram adoption goes with denser creator pools. Source: [1].

Audience size is not creator supply

Italy and Spain produce far more eligible profiles than Germany and France from similar or smaller audiences. Spain has 4.9M fewer estimated users than Germany but 367,908 more eligible profiles.

Taken as pairs, Italy and Spain hold 24.2% of the regional profile pool with 19.1% of users. Germany and France hold 14.9% of profiles despite 20.2% of users and 22.4% of the population reference.

Teams that allocate influencer budgets by country population or ad-market size would under-weight Southern Europe’s creator supply. This is not evidence that these creators perform better. It only shows that more of them pass the eligibility threshold.

Figure 05 → Italy and Spain out-produce Germany and France. Source: [1].

The typical market is less dense than the region

21 of 30 markets fall below the regional creator density. Nine markets are above 4.21%:

• six in Southern Europe: Cyprus, Italy, Malta, Greece, Spain and Portugal;
• the United Kingdom (5.04%);
• Ireland (4.80%);
• Russia (4.51%).

The lowest densities are in Central Europe and Luxembourg: Luxembourg 2.69%, Hungary 2.79%, Croatia and the Czech Republic 2.93%, and Poland 2.97%. Measured per resident, the gap widens. Cyprus records 30.6 eligible profiles per 1,000 residents and Hungary 8.3, a 3.7-fold difference.

Europe has 4.21% creator density, but this describes the pooled region, not the market most brands will plan for. Use country figures when sizing a local influencer roster.

Figure 06 → Only nine of 30 markets beat the regional creator density. Source: [1].

Russia: a sensitivity check

Excluding Russia barely changes the size ratios, but it materially changes the gender split. Russia accounts for 23.2% of eligible profiles and 21.7% of estimated users. Removing it moves the headline ratios as follows:

• creator density moves from 4.21% to 4.13%
• audience penetration moves from 43.94% to 43.77%
• the female share of classified profiles falls 3.23 points, from 59.84% to 56.61%

The female share moves because 71.2% of Russia’s classified profiles are female. Russia alone holds 26.2% of all female-classified profiles in the dataset.

Russian authorities blocked Facebook and Instagram in 2022, and the platforms can now be reached in Russia only through a VPN. Russia also added Meta to its list of terrorist and extremist organizations in October 2022. [10] The block did not end Russian creator activity on Instagram:

• VPN use. Many creators kept posting through VPNs, which let them continue lucrative paid partnerships.
• Direct brand deals. Meta stopped all ad campaigns in Russia in 2022, but influencers could still do paid partnerships with Russian brands without paying Meta directly. [9]

The space for that commercial activity has since narrowed:

• Advertising ban. From 1 September 2025, Russian law prohibits advertising of any kind on these platforms. This includes product mentions, native integrations, hidden publications and free promotion, and it covers older posts that were not deleted before that date.
• Who can be fined? The restrictions apply to companies, individual entrepreneurs, the self-employed and private individuals. [11]

Figure 07 → How much does Russia move the regional figures? Source: [1].

What this means for campaign planning. Size by country, not region. Separate audience reach from creator supply. Germany and France have large estimated audiences but comparatively thin eligible pools. Italy and Spain show the reverse.

Treat the larger supply as a hypothesis to test. Higher-density markets offer more candidates to vet.

Russia leads with 2,880,629 eligible profiles, followed by the United Kingdom with 1,790,398 and Italy with 1,656,396. Spain is fourth with 1,340,770. Together, these four markets account for 61.8% of the recorded creator pool. [1]

Key findings: creator supply

• Half the pool sits in three markets. Russia, the UK and Italy hold 51.0% of eligible profiles. Six markets hold 76.7%, and it takes 13 markets to pass 90% (91.2%).
• The long tail adds up. The 20 smallest markets together hold 1,645,548 profiles (13.3%). That is 304,778 more than Spain.
• A large audience does not guarantee a high rank. Germany has the second-largest population and the third-largest estimated Instagram audience, but ranks fifth for creators. Italy ranks fifth for population and third for creators.
• Size and depth are different things. In France, 17.0% of eligible profiles have 10,000 or more followers, the highest share of the 30 markets. In Italy the share is 10.5%.
• The UK matches Russia at the top. The UK records 29,222 profiles with 100,000+ followers, Russia 29,206. The UK’s total pool is only 62% the size of Russia’s.

The top six markets contain 76.7% of recorded creators and 73.1% of estimated users. Concentration increases to 86.7% of creator supply across the top ten. The remaining 20 markets still contain 1,645,548 profiles, so a smaller share of the regional total should not be mistaken for an insignificant local opportunity. [1]

Figure 08 → Largest recorded Instagram creator pools in the European study footprint, with the other 20 markets combined. Source: [1].

How concentrated is Europe’s Instagram influencer supply?

Three markets hold half of all eligible profiles and six hold three quarters. On a standard concentration measure (Herfindahl–Hirschman index of 1,192), the 30-market pool behaves like about 8.4 equal-sized markets. [1]

Russia is not the only reason. Without it, the United Kingdom leads the remaining 29 markets with 18.8% of profiles. It is followed by Italy (17.4%), Spain (14.1%), Germany (10.2%) and France (9.2%). Those five still hold 69.6% of the reduced pool. [1]

The two curves in Figure 09 track each other closely: markets that rank high for creators also rank high for audience. Their ranks have a rank correlation of 0.99. The creator curve sits slightly above the audience curve, so creator supply is a little more concentrated than estimated users. [1]

Figure 09 → Three markets hold half of Europe’s eligible Instagram profiles; 13 are needed to pass 90%. Cumulative shares, markets ranked by eligible profiles. Source: [1].

Do larger Instagram audiences produce more creators?

Broadly yes, but not in proportion. Dividing each market’s share of profiles by its share of estimated users shows which markets produce more creators than their audience size would predict. [1]

• Over-index: Italy holds 13.4% of profiles with 10.2% of users (1.31×). Greece is at 1.24×, Spain 1.21× and the UK 1.20×.
• Under-index: Germany (0.74×), France (0.74×) and Poland (0.71×) produce fewer creators than their audiences would suggest.
• Biggest rank changes, population rank to creator rank:
• Up: Portugal rises from 13th to 9th, Greece from 14th to 10th and Ireland from 22nd to 15th.
• Down: Romania falls from 8th to 11th, the Czech Republic from 12th to 17th and Hungary from 15th to 20th.

Figure 10 → Italy, Greece and Spain punch above their audience share. Share of eligible profiles ÷ share of estimated users, ten largest markets. Source: [1].

Which European markets have the most established Instagram influencers?

France and Germany, relative to their size. Across the 30 markets, 12.7% of eligible profiles (1,569,923) have 10,000 or more followers. France has the highest share at 17.0%, and Germany has 15.6%. Italy (10.5%) and Greece (10.2%) have the lowest shares among the ten largest markets. [1]

This reverses the density ranking. Among the ten largest markets, higher creator density goes with a lower share of established creators (rank correlation −0.84, across ten markets). The consequence for campaign planning:

• Italy has 1.70 times Germany’s eligible profiles, but only 1.15 times its 10K+ profiles.
• Spain has 1.53 times France’s pool, but only 1.16 times its 10K+ creators. [1]

The largest tiers are slightly more concentrated than the pool as a whole. The top six markets hold 76.8% of all 10K+ profiles and 80.3% of 100K+ profiles, compared with 76.7% of all eligible profiles. [1]

Figure 11 → France and Germany have the deepest benches of established creators. Share of eligible profiles with 10,000+ followers, ten largest markets. Source: [1].

The four follower tiers reconcile to within 0.13% of the headline count, and within ±0.5% in every market. France’s tier entries sit 0.37% above its headline total, which does not change its ranking. [1]

How large is a typical European creator market?

Smaller than the regional average implies. The median market records 124,434 eligible profiles, which sits between Ireland and Austria. The mean is 413,571, and only six markets exceed it. Eleven markets fall between 100,000 and 500,000 profiles. Eight markets have fewer than 50,000: Croatia, Cyprus, Lithuania, Slovenia, Latvia, Estonia, Malta and Luxembourg. Russia’s pool is 369 times Luxembourg’s. [1]

Cyprus has the highest recorded profile-to-user ratio at 5.57%, closely followed by Italy at 5.54%. Malta, Greece, Spain and the UK also exceed five eligible profiles per 100 estimated users. [1]

Key findings: creator density

• A clear north–south and west–east gradient. All six Southern European markets sit above the 4.21% benchmark. All eight Central and Eastern European markets sit below it.
• Six markets clear 5%. Cyprus, Italy, Malta, Greece, Spain and the UK hold 41.0% of eligible profiles with 33.1% of estimated users.
• Nano creators drive density. Italy’s density is 2.43 points higher than Germany’s, and 2.33 points of that gap (96%) comes from profiles under 10,000 followers.
• Established creators rank differently. The UK (6.62) and Spain (6.53) have the most profiles with 10,000+ followers per 1,000 users. Denmark and the Netherlands are above average on this measure, even though their overall density is below the benchmark.
• One creator for every 18 users in Cyprus, one for every 37 in Luxembourg. The regional figure is one eligible profile per 23.7 estimated users.

Figure 12 → Eligible Instagram profiles per 100 estimated users for all 30 markets, with the weighted regional benchmark. Source: [1].

How much does creator density vary across Europe?

Less than the extremes suggest. The highest density (Cyprus, 5.57%) is 2.07 times the lowest (Luxembourg, 2.69%). The middle half of markets falls between 3.10% and 4.70%, and the median market is at 3.59%. [1]

The 30 markets fall into five bands:

The Netherlands is the market closest to the regional ratio: 4.13%, or 0.98× the benchmark. [1]

Is creator density a regional pattern?

Yes, descriptively. Grouping the markets by region shows a clear gradient:

• Above the benchmark: Southern Europe (5.27%), the UK and Ireland (5.03%) and Russia (4.51%).
• Below it: the Nordics (3.44%), the Baltics (3.44%), Benelux and France (3.29%), the DACH markets (3.22%) and Central and Eastern Europe (3.09%).
• No overlap at the edges: every Southern European market is between 4.77% and 5.57%; every Central and Eastern European market is between 2.79% and 3.70%. [1]

The pattern is consistent, but it is not proof that geography, language or culture causes creator participation. Market size explains little: the largest audiences appear at both ends of the ranking, with Italy and the UK near the top and Germany and France in the bottom third. [1]

Figure 13 → Southern Europe leads creator density; Central and Eastern Europe trails. Weighted density by market group, with each member market shown as a dot. Source: [1].

What drives high creator density?

Mostly nano creators. Across the 30 markets, overall density moves almost in lockstep with nano density (rank correlation 0.98). The link with 10K+ density is weaker (0.73). [1] Italy and Germany show how this works. Italy has 4.95 nano profiles per 100 users against Germany’s 2.62. For profiles with 10,000+ followers the gap is small: 0.58 against 0.48 per 100 users. [1]

An illustration of the scale involved: if Germany had Italy’s density, its estimated audience would support about 1.73M eligible profiles. That is roughly 761,000 more than it records. [1]

Figure 14 → Nano creators explain almost all of the density gap. Eligible profiles per 100 estimated users, split into nano and 10K+ profiles. Source: [1].

Which markets have the most established Instagram influencers per user?

The UK and Spain. Across the 30 markets there are 5.33 profiles with 10,000+ followers for every 1,000 estimated users. The UK records 6.62 and Spain 6.53, followed by Cyprus (6.22), Italy (5.83) and Portugal (5.82). [1] Two markets move up sharply on this measure:

• Denmark 5.48 per 1,000, above average, despite 3.59% overall density.
• The Netherlands 5.55 per 1,000, above average, despite 4.13% overall density.
• Estonia, Luxembourg, Latvia and Hungary record the fewest, at 3.13–3.29 per 1,000. [1]

Figure 15 → The UK and Spain lead for established creators per user. Profiles with 10,000+ followers per 1,000 estimated users. Source: [1].

A near tie can hide very different market scale

Cyprus records 42,317 eligible profiles against 760,000 estimated users. Italy records 1.66M profiles against 29.9M users. Their ratios are almost identical, but Italy offers roughly 39 times the recorded profile count. Density is a relative measure, not a substitute for scale. [1]

The five markets Cyprus, Italy, Malta, Greece and Spain together contain 26.5% of regional creator supply and 21.0% of estimated users. The pattern is concentrated around Mediterranean markets; it is not proof that geography causes creator participation. At the other end, Luxembourg is at 2.69%, Hungary at 2.79% and Croatia at 2.93%. Lower density does not establish lower prices, lower competition or untapped demand. [1]

Portugal has the highest estimated audience-to-population ratio in the dataset: 61.1%. Spain, Cyprus, Sweden, the UK and Italy also exceed 50%. The weighted regional benchmark is 43.9%, below the US figure of 56.5%. These are ratios of dataset estimates, not independently verified resident adoption rates. [1, 5]

Key findings: audience penetration

• Reach roughly doubles from east to west. Penetration ranges from 29.2% in Bulgaria to 61.1% in Portugal, a 2.09-fold spread. The six lowest markets are all in Central and Eastern Europe.
• No market combines low reach with high creator density. Every market below the 43.9% reach benchmark is also below the 4.21% density benchmark.
• Nine markets lead on both measures. Russia, the UK, Italy, Spain, Portugal, Greece, Ireland, Cyprus and Malta hold 67.6% of eligible profiles with 57.8% of estimated users.
• Three markets are the exception. Sweden, Denmark and the Netherlands have above-average reach but below-average creator density. Sweden ranks fourth for reach and 20th for density.
• Germany’s audience is large but shallow. It has the third-largest estimated audience (31.3M) but ranks 22nd of 30 for penetration (37.4%).

Figure 16 → Two different denominators reveal distinct audience and creator-supply patterns. Source: [1].

How does Instagram reach vary across European markets?

From under 30% to over 60% of the population. The median market sits at 42.2%, and the middle half of markets falls between 36.9% and 48.0%. Twelve of the 30 markets are above the 43.9% benchmark. [1]

By region:

• Above the benchmark: Southern Europe (52.9%), the UK and Ireland (50.6%), the Nordics (47.4%) and Russia (44.6%).
• Below it: Benelux and France (42.7%), the DACH markets (37.8%), the Baltics (37.5%) and Central and Eastern Europe (32.9%).
• Size doesn’t decide reach: a market’s population has almost no relationship with its penetration (rank correlation 0.16). [1]

Figure 17 → Portugal leads audience penetration; Central and Eastern Europe trails. Estimated Instagram users as a share of the population reference, 30 markets. Source: [1].

Do markets with higher reach also have more Instagram influencers?

Usually, and never the other way round. Measured against both benchmarks, the 30 markets fall into three of the four possible groups:

• High reach, high density (9 markets): Russia, the UK, Italy, Spain, Portugal, Greece, Ireland, Cyprus and Malta. They hold 67.6% of eligible profiles and 57.8% of estimated users.
• High reach, low density (3 markets): the Netherlands, Sweden and Denmark. They hold 4.9% of profiles and 5.6% of users.
• Low reach, low density (18 markets): including Germany, France and every Central and Eastern European market. They hold 27.4% of profiles and 36.6% of users.
• Low reach, high density: none. [1]

This is a descriptive pattern across 30 snapshots, not proof that audience reach creates influencers. Both measures depend on the same account-assignment method, so shared factors in how markets are measured may contribute. [1]

Figure 18 → No market combines low reach with high creator density. 30 markets classified against the weighted reach and density benchmarks. Source: [1].

Which markets have the most creators per resident?

Cyprus, Portugal and Italy. Profiles per 1,000 residents combine both measures: reach × density.

• Highest: Cyprus records 30.6 eligible profiles per 1,000 residents, Portugal 29.1 and Italy 28.1.
• Lowest: Hungary records 8.3 and Bulgaria 9.1.
• Average: 18.5 across the 30 markets. [1]

The 3.7-fold gap between Cyprus and Hungary breaks down almost evenly. Cyprus has 1.85 times Hungary’s reach and 2.00 times its density, so both measures matter about equally. Across all 30 markets, reach accounts for about 45% of the variation in creators per resident and density for about 55%. [1]

Figure 19 → Cyprus has 3.7 times as many creators per resident as Hungary. Eligible profiles per 1,000 residents, six highest and six lowest markets, with reach and density shown for each. Source: [1].

Portugal, Sweden and Germany show why the distinction matters

• Portugal combines the highest reach with above-average creator density, but ranks only ninth for absolute creator count.
• Sweden has the fourth-highest reach (51.9%), yet its creator density is 3.28%, below the regional benchmark. It ranks 11th for creators per resident.
• Germany has 31.3M estimated Instagram users, the third-largest audience in the dataset, but only 37.4% reach and 3.11% creator density.

Figure 20 → Six markets hold 76.7% of the eligible Instagram profiles in the 30-market study: Russia, the United Kingdom, Italy, Spain, Germany and France, 2026. Source: [1].

Which European countries offer the best opportunities for Instagram influencer marketing?

The answer depends on what a campaign needs: a large pool of potential collaborators, a deep selection of established creators, strong audience penetration, or access to highly specific communities. Russia, the United Kingdom, Italy, Spain, Germany and France account for 76.7% of the 12.41 million influencer-eligible Instagram profiles recorded across the study's 30 European markets.

Together, they contain 9,514,706 eligible profiles. Yet their creator scenes differ in ways that a simple country ranking cannot capture. [1] Italy has approximately 1.70 times Germany's eligible creator count, despite having a slightly smaller estimated Instagram audience. France has fewer eligible profiles than Spain, but a considerably higher proportion of creators with 10,000 or more followers. Russia leads by absolute volume, although legal restrictions make recorded supply an unreliable indicator of commercial accessibility.

Reading the study. These contrasts reveal the central planning lesson of this section: the size of a creator market, the depth of its established-creator pool, and its commercial accessibility are three different questions.

For brands and agencies, understanding those differences is more useful than identifying a single country with the most influencers.

How do Europe's six largest Instagram influencer markets compare?

Three findings that change how we interpret the ranking

• The biggest creator market is not necessarily the densest. Russia leads in absolute profiles, but Italy has a higher creator-to-user ratio.
• The densest market is not necessarily the deepest in established creators. Italy has more eligible profiles than Germany or France, yet both countries have a higher proportion of profiles above 10,000 followers.
• A large recorded pool is not the same as a campaign-ready roster. Profile eligibility does not establish audience authenticity, collaboration availability, legal accessibility, or expected performance.

Figure 21 → The largest Instagram creator markets do not have the highest creator density. Six leading European markets, 2026. Source: [1].

Russia: Europe's largest recorded creator pool, but not its largest accessible opportunity

Figure 22 → Russia at a glance: the largest recorded creator pool, with creator density and audience reach close to the 30-market benchmarks. Source: [1].

How many Instagram influencers are recorded in Russia?

Russia has 2,880,629 influencer-eligible Instagram profiles, representing 23.2% of all eligible profiles in the 30-market study. Its estimated Instagram audience is 63.9 million accounts, producing a creator density of 4.51%, slightly above the regional benchmark of 4.21%. [1]

Russia alone contains more recorded eligible profiles than Germany, France and Poland combined. But the most important question about Russia is not how many creator profiles the dataset identifies. It is how much of that recorded supply can realistically and legally be activated.

The largest market has an outsized influence on European statistics

Russia contributes 23.2% of eligible profiles but 21.7% of estimated Instagram users. Its presence therefore influences the regional totals. The effect becomes particularly visible in the gender data.

Across all 30 markets, female-classified profiles represent 59.84% of male/female-classified profiles. When Russia is excluded, that share falls to 56.61%, a difference of 3.23 percentage points.

Russia's own classified female share is 71.2%, substantially above the regional figure. It accounts for 26.2% of all female-classified profiles in the dataset. [1] Creator density, however, is much less sensitive to the same exclusion: it moves from 4.21% to 4.13%.

Reading the study. This distinction matters because Russia changes Europe's reported creator composition more dramatically than it changes Europe's creator-to-user ratio.

Why influencer availability is a separate question in Russia

Instagram has been blocked in Russia since 2022, and the study documents subsequent restrictions on advertising on platforms designated as extremist. From 1 September 2025, Russian law has prohibited advertising on those platforms. [9–11] Some creators have continued to use Instagram through VPNs or other arrangements, but the presence of a public profile does not establish that a proposed paid collaboration is lawful, feasible, or commercially accessible.

There is also a geographic classification limitation. Influencity assigns profiles to countries using public signals, including biography locations, geotags, language and content. Russian-language accounts operating outside Russia, or creators who have relocated, may still be assigned to Russia.

The recorded figure should therefore be interpreted as profiles associated with Russia through the dataset's location signals, not as verified in-country users or legally available advertising inventory.

What should brands and agencies do? For market analysis, report the 30-market European benchmark alongside the 29-market benchmark excluding Russia when the distinction materially affects the conclusion.

For campaign activation, do not treat Russia's 2.88 million eligible profiles as an immediately usable recruitment pool. Conduct jurisdiction-specific legal, sanctions, platform-policy, payment and reputational checks before considering any collaboration.

Russia illustrates the difference between statistical significance and commercial accessibility. It is the largest contributor to Europe's influencer data, but that does not make it the largest executable influencer marketing opportunity.

Figure 23 → Russia's weight in European totals depends on the metric: from 18.0% of profiles with 100,000+ followers to 26.2% of female-classified profiles. Source: [1].

Russia is essential to understanding the dataset, but its recorded creator supply must not be confused with commercially accessible inventory.

United Kingdom: the strongest combination of scale and established-creator depth outside Russia

Figure 24 → United Kingdom at a glance: the second-largest creator pool, above the 30-market benchmark on creator density, reach and established-creator share. Source: [1].

How large is the UK Instagram influencer market?

The United Kingdom has 1,790,398 eligible Instagram creator profiles and an estimated audience of 35.5 million Instagram users. Its creator density is 5.04%, approximately 20% above the regional benchmark. [1]

It is the largest recorded creator market outside Russia and the second-largest overall. But the UK's strategic distinction becomes clearer when the analysis moves beyond total profile counts.

The UK matches Russia in Instagram influencers with 100,000+ followers

The UK records 29,222 profiles with at least 100,000 followers, compared with 29,206 in Russia. That is a difference of just 16 profiles, even though Russia's total eligible pool is approximately 61% larger than the UK's.

This contrast reveals how differently creator supply can be distributed across follower tiers. The UK also records 235,182 profiles with 10,000 or more followers, compared with Russia's 323,869. Its established-creator share is 13.1%, above the regional figure of 12.7%. [1]

The result is a market that combines a large discovery universe with considerable depth beyond the nano tier.

The UK leads the six large markets in established influencers relative to Instagram users

Across all 30 markets, the UK has the highest concentration of creators with 10,000 or more followers relative to estimated Instagram users: 6.62 profiles per 1,000 users. Spain follows closely at 6.53.

This is a different measure from overall creator density. It focuses on the supply of profiles above the 10,000-follower threshold rather than the full eligible pool.

Reading the study. For brands seeking established creators, that distinction can be more relevant than the headline number. It does not prove that UK creators have better engagement, stronger commercial experience, or greater availability. It establishes that the UK has a comparatively substantial recorded pool in those follower tiers.

A UK-based creator is not necessarily a UK-audience creator

Location remains an important limitation. An account assigned to the UK may attract followers from several countries. English-language content can reach audiences far beyond the creator's home market.

For a campaign targeting UK consumers, creator location and follower geography must therefore be evaluated separately.

This is especially important for retail campaigns, regional services, local events and other initiatives where audience location determines commercial relevance.

What should brands and agencies do? Use the UK's large creator pool to build shortlists across multiple follower tiers, but apply audience-geography requirements early.

For reach-led campaigns, compare the availability of established creators rather than relying exclusively on total eligible profiles.

For highly localized campaigns, validate the percentage and distribution of followers in the intended market before negotiating partnerships.

The UK's advantage is not simply that it has many creators. It has a large pool of creators above the 10,000-follower threshold, making its established-creator supply particularly important to evaluate.

Figure 25 → The UK matches Russia's pool of creators with 100,000+ followers despite having far fewer eligible profiles overall. Source: [1].

The UK offers a substantial discovery scale and a particularly deep pool of established creators. Audience geography remains the critical qualification step.

Italy: exceptional creator density, driven overwhelmingly by nano profiles

Figure 26 → Italy at a glance: the second-highest creator density in the study, with a below-benchmark share of established creators. Source: [1].

Why does Italy have so many Instagram influencers?

Italy has 1,656,396 eligible Instagram creator profiles, an estimated Instagram audience of 29.9 million, and a creator density of 5.54%. That places it second among the 30 markets, narrowly behind Cyprus at 5.57%. [1]

Italy's creator density is approximately 1.31 times the regional benchmark.

Its position is especially striking when compared with Germany, which has a slightly larger estimated Instagram audience but far fewer eligible profiles. Italy records approximately 1.70 times Germany's total eligible creator count.

The study cannot establish why this difference exists. But its follower-tier data reveals where the difference is concentrated.

Nano creators explain almost all of Italy's density advantage

Italy has approximately 4.95 nano profiles per 100 estimated Instagram users, compared with Germany's 2.62. That produces a nano-density gap of approximately 2.33 percentage points. The total creator-density gap between the countries is approximately 2.43 percentage points.

In other words, roughly 96% of Italy's density advantage over Germany comes from profiles below 10,000 followers. [1] The contrast narrows substantially when we examine more established creators.

Italy has approximately 0.58 profiles with 10,000+ followers per 100 estimated users, compared with Germany's 0.48.

This is one of the study's most consequential findings for campaign planning. Italy does not simply have more creators at every level in the same proportion. Its unusually high overall density is overwhelmingly associated with its nano-creator population.

Italy versus Germany: the ranking changes when the question changes

Italy has 1.66 million eligible profiles, compared with Germany's 972,862. But Italy records approximately 174,301 profiles with 10,000+ followers, while Germany records approximately 151,686.

The ratio therefore narrows from 1.70 times at the total-profile level to approximately 1.15 times among established creators.

That difference should influence how brands compare the two markets.

A campaign requiring many smaller creators may find Italy's overall pool particularly relevant. A campaign focused on established profiles should compare the narrower 10K+ counts rather than assuming Italy offers 70% more suitable candidates.

Reading the study. What should brands and agencies do?

Segment the Italian creator pool by follower tier before developing the recruitment strategy.

For nano-led programs, test broader niche and geographic searches. For campaigns requiring established creators, evaluate the 10K+ universe directly.

Then apply the same quality, audience and pricing criteria used in other countries.

Italy's high density is primarily a story about the bottom of the follower ladder. Without examining creator tiers, its headline advantage over Germany can be misleading.

Figure 27 → Nano profiles account for 96% of Italy's 2.43-point creator-density lead over Germany. Source: [1].

Italy is a high-density market with a particularly large nano-creator population. Its advantages should be evaluated by tier, not inferred from its headline count.

Spain: strong Instagram penetration and one of Europe's deepest established-creator pools per user

Figure 28 → Spain at a glance: above the 30-market benchmark on creator density, audience reach and established-creator share. Source: [1].

How many Instagram influencers are there in Spain?

Spain records 1,340,770 eligible Instagram creator profiles and 26.4 million estimated Instagram users. Its creator density is 5.08%, while estimated Instagram audience penetration reaches 55.2% of the population reference. [1]

Spain ranks fourth in eligible creator count and fifth in creator density among the 30 markets.

It also has the highest estimated audience-to-population ratio among the six large markets examined here: its 55.2% is higher than the UK's 50.8%, Italy's 50.7%, Russia's 44.6%, France's 42.2% and Germany's 37.4%.

Across the full 30-market dataset, only Portugal has a higher audience-penetration ratio. This combination of audience penetration and creator supply makes Spain one of the clearest examples of a market where both measures are relatively high.

Spain's established-creator supply is stronger than its total ranking suggests

Spain has approximately 172,292 profiles with 10,000 or more followers. Its density of established creators is 6.53 per 1,000 estimated Instagram users, second only to the UK's 6.62 across the 30 markets. [1]

That matters because Spain's creator ecosystem is not defined solely by its nano population. Its established-creator supply is substantial relative to the size of its estimated Instagram audience.

Compare Spain with France:

• Spain has approximately 1.53 times France's total eligible profiles.
• But it has only about 1.16 times France's profiles with 10,000+ followers.

As in the Italy–Germany comparison, the apparent difference between markets narrows when the analysis moves beyond the headline pool.

Italy and Spain form a major concentration of European creator supply

Together, Italy and Spain account for 24.2% of all eligible profiles in the 30-market study but only 19.1% of estimated Instagram users. Their combined creator density is 5.32%, above the regional benchmark of 4.21%. [1]

Reading the study. The two countries therefore contribute a disproportionately large share of recorded creator supply relative to their estimated audiences. This is a useful planning observation for brands operating across Southern Europe.

However, their combined figures should not erase differences in language, audience location, content conventions or commercial practices.

What should brands and agencies do? For Spanish campaigns, use the country's substantial estimated audience penetration as context for Instagram's importance, while using creator density and tier counts to structure discovery.

For campaigns spanning Spain and Italy, build separate market shortlists before comparing them.

A shared campaign objective does not require identical creators, formats or audience assumptions in every country.

Spain combines three distinct advantages in the dataset: substantial estimated audience penetration, above-benchmark creator density, and one of Europe's highest concentrations of established creators per user.

Figure 29 → Spain exceeds the European benchmark for estimated audience penetration, creator density and established creators per user. Source: [1].

Spain is not merely a high-density creator market. It also has strong estimated Instagram penetration and a substantial established-creator pool relative to its audience.

Germany: a large Instagram audience with a more concentrated established-creator pool

Figure 30 → Germany at a glance: a large estimated audience, below-benchmark creator density and an above-benchmark established-creator share. Source: [1].

Why does Germany have fewer Instagram creators than Italy?

Germany has 972,862 eligible Instagram creator profiles and an estimated Instagram audience of 31.3 million users. Its creator density is 3.11%, below the regional benchmark of 4.21%. [1]

Despite having approximately 1.4 million more estimated Instagram users than Italy, Germany has 683,534 fewer eligible creator profiles. The difference is substantial, but it is not evenly distributed across follower tiers.

As the Italy comparison shows, nano profiles explain approximately 96% of the difference in creator density between the two markets. Germany's lower overall density therefore should not be interpreted as an equally large deficit at every creator size.

Germany's established-creator share is above the European average

Approximately 15.6% of Germany's eligible profiles have 10,000 or more followers, compared with 12.7% across the full 30-market dataset.

Among the ten largest markets, Germany ranks second on this measure, behind France. [1] Its recorded pool includes approximately 151,686 profiles with 10,000+ followers.

This creates an important distinction between relative creator supply and follower-tier composition. Germany has fewer eligible profiles relative to Instagram users than Italy or Spain, but a larger proportion of its eligible profiles sit above the 10,000-follower threshold.

What should brands and agencies do? Use the 10K+ profile count when planning campaigns involving established creators.

For nano-led programs, assess the size of the relevant pool after applying category, language, geography and audience-quality filters.

Do not assume that Germany's lower density implies weaker performance, higher prices or less commercial opportunity. The dataset measures none of those outcomes.

Germany demonstrates why a lower creator-density ranking can coexist with a comparatively strong established-creator segment.

Figure 31 → Germany has lower overall creator density than Italy, but a higher proportion of established creators. Source: [1].

Germany's smaller relative creator pool should be evaluated alongside its comparatively high share of established creators.

France: fewer eligible creators, but the highest established-creator share in Europe

Figure 32 → France at a glance: the highest established-creator share in the study, with below-benchmark creator density. Source: [1].

What makes France's Instagram influencer market different?

France has 873,651 eligible Instagram creator profiles, an estimated audience of 28.2 million users, and a creator density of 3.10%. [1] Its overall density is almost identical to Germany's 3.11%. Yet France has a particularly distinctive follower-tier distribution.

17.0% of its eligible profiles have 10,000 or more followers, the highest proportion among all 30 markets in the study. This is one of the strongest examples of why a country-level creator ranking can obscure strategically relevant differences.

France leads on established-creator share, not absolute count

France's reported tier data contains approximately 148,229 profiles with 10,000+ followers. That is fewer than Russia, the UK, Italy, Spain or Germany in absolute terms.

But relative to its total eligible pool, France has the largest proportion of profiles above the 10,000-follower threshold.

The distinction is essential:

• Absolute count tells us how many established profiles are recorded.
• Established-creator share tells us how much of a country's eligible pool sits above the threshold.
• Established creators per estimated user provides another relative measure of supply.

None of these metrics measures content quality, audience authenticity, campaign experience or performance.

France versus Spain: a smaller total gap at the established tiers

Spain has approximately 1.34 million eligible profiles, compared with France's 873,651. That makes Spain's total pool about 1.53 times as large.

But Spain has approximately 172,292 profiles with 10,000+ followers, compared with France's 148,229. At that threshold, Spain's advantage narrows to approximately 1.16 times.

For a campaign that requires creators above 10,000 followers, the established-creator counts are more informative than the headline difference.

What should brands and agencies do? Treat France as a substantial established-creator recruitment market despite its below-benchmark overall density.

For campaigns requiring creators above 10,000 followers, begin with the relevant tier counts and then evaluate audience geography, content fit, recent activity, collaboration availability and expected rates.

For nano-focused programs, assess the eligible pool independently rather than assuming that France's established-creator composition makes it unsuitable.

France has the highest established-creator share in the study, yet one of the lowest overall densities among the six largest markets. Its position challenges the assumption that more creators per user automatically means more developed creator supply at every follower tier.

Figure 33 → France has the highest established-creator share among Europe's six largest Instagram markets—and among all 30 countries studied. Source: [1].

France's strategic distinction lies in the composition of its recorded creator pool, not its headline density.

What do these six markets reveal about Instagram influencer marketing in Europe?

The six-country comparison exposes a fundamental problem with treating creator markets as interchangeable.

A country can have a large eligible creator pool without having the highest creator density. It can have high creator density without having the highest proportion of established creators. And it can have substantial recorded supply without that supply being commercially accessible.

These differences produce several conclusions for European influencer marketing strategy.

1. Europe's creator supply is concentrated, but its opportunities are not identical

Six markets contain 76.7% of eligible profiles, yet each has a different mix of scale, density, audience penetration and follower tiers.

A pan-European campaign built solely around total creator counts would heavily favor the largest markets.

That may be appropriate for some objectives, but it can also underrepresent commercially important smaller markets.

Reading the study. Planning tip: Set country-level discovery targets based on campaign objectives and audience priorities rather than distributing recruitment effort strictly in proportion to creator counts.

2. Nano creators explain much of the difference between high- and low-density markets

Across the 30 markets, creator density and nano density have a Spearman rank correlation of 0.98. The corresponding relationship between overall density and 10K+ density is weaker, at 0.73. [1] This suggests that country differences in overall creator density are particularly closely associated with differences in nano supply.

The Italy–Germany comparison makes that pattern concrete: approximately 96% of their density gap comes from nano profiles.

Reading the study. Planning tip: For seeding, UGC-style and other programs requiring many smaller creators, examine nano supply directly. For campaigns requiring established creators, use 10K+ counts or established creators per 1,000 estimated users.

3. Established-creator depth can reverse the apparent market ranking

France and Germany have lower overall creator density than Italy and Spain, but higher shares of profiles above 10,000 followers.

Among the ten largest markets, the study finds a strong negative rank correlation (−0.84) between overall creator density and the share of established creators. [1] This is an observed relationship within that group, not evidence that higher nano supply causes a smaller established-creator share.

Reading the study. Planning tip: Avoid describing one country as having a stronger or weaker influencer ecosystem based on a single metric. Specify whether the comparison concerns total profiles, creator density, or established-creator supply.

4. Estimated audience penetration and creator density answer different questions

Spain illustrates why the distinction matters. Its estimated audience-to-population ratio is 55.2%, while its creator density is 5.08%. The first ratio provides context for Instagram's estimated reach relative to the population reference. The second describes eligible profiles relative to estimated Instagram users.

Neither measure establishes the number of unique residents using Instagram or the audience that a particular creator can reach.

Reading the study. Planning tip: Use audience penetration to contextualize market coverage, creator density to contextualize relative supply, and creator-level audience data to validate actual campaign targeting.

5. Country-level supply cannot predict campaign returns

The data does not contain creator fees, campaign conversion rates, return on investment, response rates or engagement benchmarks. Those variables are necessary to assess whether one market offers better commercial outcomes than another.

A high-density country may offer a larger initial shortlist. A lower-density country may contain creators with a better fit for a particular brief. The study cannot determine which will deliver stronger results.

Reading the study. Planning tip: Treat national statistics as discovery inputs, then test campaign assumptions with creator-level data and comparable pilot results.

Figure 34 → Six large European Instagram markets require six different discovery questions. Source: [1].

How should brands use country-level Instagram influencer statistics?

Brands should use country-level creator statistics to estimate discovery scale, compare follower-tier supply, and design recruitment strategies, not to predict campaign performance.

The most effective approach is to move through four stages.

Stage 1: Define the market and audience

Begin with the commercial objective, the intended consumers, and the countries where the campaign needs to deliver results.

Use estimated Instagram audiences and population ratios for context, but do not treat them as verified unique reach.

Stage 2: Choose the right creator-supply metric

Select the metric that matches the brief:

Stage 3: Qualify the creators

Apply filters for audience geography, content relevance, language, recent activity, audience quality, brand fit and campaign requirements.

A profile that meets the study's eligibility threshold is not necessarily suitable for a paid partnership.

Stage 4: Test commercial feasibility and performance

Confirm creator availability, legal and disclosure requirements, estimated fees, deliverables, content usage rights and measurement expectations.

Evaluate results against the campaign objective rather than assuming that the largest creator pool will deliver the greatest return.

Reading the study. Planning tip: Build country shortlists using comparable criteria, but allocate budgets only after evaluating the qualified creators available in each market.

The best influencer market depends on the question you're asking

Europe's six largest Instagram creator markets illustrate six distinct forms of supply. Russia dominates the regional profile count but raises questions about commercial accessibility. The United Kingdom combines substantial scale with exceptional established-creator density. Italy's high creator concentration is driven overwhelmingly by nano profiles. Spain combines strong estimated audience penetration with a deep established-creator pool. Germany and France demonstrate that lower overall density can coexist with a higher proportion of creators above 10,000 followers.

The larger lesson is not that one country is better than another. It is that creator supply becomes strategically meaningful only when it is measured against the requirements of the campaign.

For brands and agencies, the most useful sequence is straightforward: use national counts to understand scale, creator density to contextualize supply, follower tiers to identify the relevant recruitment universe, and creator-level evidence to make investment decisions.

The study tells us where eligible Instagram creator profiles are recorded. It does not tell us which creators will deliver the strongest campaign results. That distinction is the foundation of a more rigorous European influencer marketing strategy.

Campaign planning takeaway. Use country counts to scope discovery. Use follower-tier data to understand the depth of the available pool. Use audience evidence, content fit, creator availability, compliance checks and campaign economics to decide where to spend.

The study covers 30 named markets, including Russia, the UK and Switzerland. It should not be presented as an EU-only study or a complete continental census. A sensitivity calculation shows how the regional picture changes when Russia is removed from the same dataset; this is an alternative scope, not a replacement headline. [1]

How Europe's boundaries and smaller Instagram influencer markets change the picture

How does the definition of Europe affect influencer marketing statistics? More than a regional label might suggest. The countries included in a study determine its total creator count, estimated audience, creator density, and demographic composition. Change the geographic scope, and some of those findings change considerably.

But the definition of Europe is only half the story.

Beyond the continent's largest Instagram creator markets, smaller countries reveal patterns that aggregate statistics often conceal. Cyprus and Malta demonstrate how a relatively small creator population can produce a high creator-to-user ratio. Portugal, Greece, and the Netherlands show how three markets of comparable scale can lead on entirely different measures.

What countries are included in this European Instagram influencer study?

As mentioned above, this study covers 30 named European markets, including Russia, the United Kingdom, and Switzerland. It is neither an EU-only analysis nor a complete census of every country or territory in geographical Europe. [1]

Its findings therefore describe the 30 markets included in the study, not every possible definition of Europe. This distinction is important because terms such as Europe, European Union, and European influencer market are sometimes used interchangeably, even though they describe different geographic and political groupings.

The European Union has 27 member states. This study's 30-market coverage is broader in some respects, because it includes non-EU markets, but it should not be described as a comprehensive survey of the entire continent.

A regional benchmark is not a universal characteristic of Europe. It is a statistic calculated from a defined set of countries, using a defined methodology. For comparisons between studies, geographic coverage should be checked before interpreting differences as evidence of market growth, decline, or structural change.

What happens to Europe's influencer statistics when Russia is excluded?

Russia is the largest country-level contributor to the study's eligible creator population, with 2,880,629 profiles. Removing Russia from the same dataset provides a useful sensitivity analysis: it shows which regional findings depend substantially on the inclusion of this one market.

Europe with and without Russia: the figures

Female share among profiles classified as male or female. Values are rounded; percentage-point differences are calculated from unrounded values. Source: Influencity 2026 Europe dataset [1].

Figure 35 → Changing country coverage affects regional aggregates differently. A sensitivity analysis of the same 2026 Instagram dataset. Source: [1].

Finding 1: Russia accounts for almost a quarter of recorded creator supply

Excluding Russia reduces the regional eligible creator count by approximately 23.2%, from 12.41 million to 9.53 million. The estimated Instagram audience falls from 294.5 million to 230.6 million.

This is a substantial change in absolute market scale. Any discussion of the size of Europe's recorded creator ecosystem should therefore specify whether Russia is included.

For brands comparing recruitment universes across regions, the distinction is particularly relevant. A figure of 12.41 million profiles describes a different geographic pool from one of 9.53 million, even though both are derived from the same underlying study.

Finding 2: Overall creator density changes surprisingly little

Despite the removal of almost 2.9 million profiles, Europe's aggregate creator density moves only from 4.21% to 4.13%. That is a difference of just 0.08 percentage points. Why?

Because excluding Russia removes both eligible creator profiles and estimated Instagram users. Russia's own creator density of 4.51% is only moderately above the full regional benchmark.

Its inclusion increases the aggregate density, but not dramatically. This illustrates why absolute counts and relative ratios can respond differently to a change in geographic coverage.

Reading the study. Russia has a major effect on how large the European creator market appears, but only a modest effect on how concentrated that supply is relative to estimated Instagram users.

Finding 3: The classified gender composition is much more sensitive

The female share among male/female-classified profiles falls from 59.8% to 56.6% when Russia is excluded. That is a shift of approximately 3.2 percentage points, far larger than the change in creator density.

The explanation lies in Russia's demographic composition within the dataset. Russia has a classified female share of approximately 71.2%, compared with 59.8% across all 30 markets. Its large creator population therefore has a disproportionate influence on the regional gender calculation. [1]

This does not mean the underlying gender characteristics of any other country have changed. Only the countries included in the aggregate have changed.

It is also important to preserve the study's classification limitation: these percentages refer to profiles classified as male or female, not all eligible profiles, and should not be interpreted as a complete representation of gender identity.

Finding 4: Europe's recorded creator pool remains larger than the US pool

The scope decision also affects the Europe–United States comparison discussed in section 13. Even after Russia is excluded, the remaining 29 European markets contain 9.53 million eligible profiles, approximately 6.5% more than the US comparison pool used in the study. [1, 5]

This is an important qualification to the argument that Europe's creator ecosystem is large because Russia is included. Russia substantially increases Europe's absolute total, but the remaining European markets still collectively exceed the US comparison count.

However, the comparison should not be interpreted as proof of greater influencer marketing maturity, commercial opportunity, or campaign performance. It remains a comparison of recorded eligible profiles under the respective study definitions.

What should researchers and campaign planners do? For regional reporting, specify the country coverage alongside the headline statistic.

For international comparisons, use consistent scope definitions wherever possible, and disclose when they differ.

For demographic interpretation, consider sensitivity calculations when one large country has a substantially different profile composition.

For campaign planning, evaluate commercial accessibility separately from recorded supply.

Geographic scope affects different metrics by different amounts. Russia's inclusion substantially changes Europe's creator count and classified gender composition, but only slightly changes aggregate creator density.

Reading the study. Planning tip: When presenting European influencer market data to stakeholders, show the 30-market benchmark as the primary result and the 29-market calculation excluding Russia as a clearly labeled sensitivity scenario. This preserves the study's scope while making its influence transparent.

Why smaller European influencer markets deserve separate analysis

Smaller countries are easily overlooked in regional rankings because their absolute creator counts cannot compete with those of Russia, the UK, Italy, or Spain. Yet absolute size is only one dimension of a creator ecosystem.

A market with 40,000 eligible profiles may have a higher creator density than a market with nearly one million. A country with fewer recorded creators may also have higher estimated Instagram audience penetration.

These distinctions can be relevant to campaigns targeting local audiences, specific languages, or tightly defined geographic communities.

They do not automatically make smaller markets more attractive. They indicate that small-market analysis requires more than a ranking by total profiles.

Three questions are particularly useful:

• How many eligible profiles exist in the country?
• How large is that pool relative to the estimated Instagram audience?
• How many creators remain suitable and reachable after campaign-specific qualification?

The first two questions can be explored using this study. The third requires creator-level and commercial evidence.

Cyprus and Malta: high creator density without large absolute volume

Figure 36 → Cyprus and Malta at a glance: two small markets with creator density above the 30-market benchmark. Source: [1].

Are Cyprus and Malta important Instagram influencer markets?

Cyprus and Malta demonstrate why creator density and creator count should never be treated as equivalent measures. Cyprus records 42,317 eligible Instagram creator profiles, while Malta records 14,450. [1]

Neither market approaches the absolute scale of the largest European creator ecosystems. Yet their relative creator concentrations make them noteworthy in the regional comparison. Cyprus has the highest creator density among the study's 30 markets, at 5.57%, narrowly ahead of Italy's 5.54%.

This means Cyprus has a high number of eligible creator profiles relative to its estimated Instagram audience—not that it has a larger or more commercially valuable creator market than Italy.

Cyprus: Europe's highest creator density in the dataset

Cyprus illustrates the distinction between market intensity and market volume. Its 5.57% creator density is approximately 32% above the regional benchmark of 4.21%. But its absolute pool of 42,317 eligible profiles is only about 2.6% of Italy's 1.66 million.

Both figures can be true because they answer different questions. Cyprus has a higher creator-to-user ratio, while Italy offers a much larger recorded discovery universe.

Reading the study. For a campaign specifically targeting Cyprus, the country's high density may justify a focused search for relevant local creators. For a campaign requiring hundreds of collaborators across several categories, its much smaller absolute pool becomes a more important constraint.

Cyprus leads the density ranking, but that does not make it Europe's largest influencer market. Its position is a reminder that relative concentration and absolute capacity are different characteristics.

Malta: a small creator pool where qualification matters more than rankings

Malta's 14,450 eligible profiles represent a comparatively small recruitment universe. For a local campaign, this may still provide a useful starting point for discovery.

However, once a brand applies requirements for language, audience geography, content category, follower tier, engagement quality, and collaboration availability, the qualified shortlist may be considerably smaller than the headline count.

The study does not establish how many Maltese profiles would meet any particular campaign brief. That number must be determined through creator-level discovery.

What should brands and agencies do? Use creator density to understand the relative size of the ecosystem, but begin operational planning with the absolute number of eligible profiles.

Then assess audience location, creator relevance, available follower tiers, collaboration feasibility, and expected costs.

For campaigns requiring a large number of creators, establish recruitment feasibility before finalizing deliverables or timelines.

Reading the study. Planning tip: In Cyprus and Malta, prioritize a qualified-creator count over a density ranking. A shortlist of 50 suitable and available creators is more actionable than a national density percentage, provided the shortlist has been validated against the campaign brief.

Figure 37 → Smaller markets can have high relative creator supply without large absolute recruitment pools. Source: [1].

Cyprus and Malta show why high creator concentration should be interpreted alongside absolute market size and the availability of qualified creators.

Portugal, Greece and the Netherlands: three mid-sized markets, three different strengths

Portugal, Greece and the Netherlands occupy an interesting middle ground in the European creator landscape. Their eligible creator populations are substantial enough to support meaningful discovery, but they remain far smaller than the continent's largest markets.

More importantly, each country leads the other two on a different metric.

This comparison illustrates why market selection should begin with a campaign objective rather than a generic ranking.

Portugal: high estimated Instagram penetration

Portugal records 302,624 eligible creator profiles and an estimated Instagram audience-to-population ratio of 61.1%. [1] That is the highest estimated audience penetration in the full 30-market study.

This is an important contextual finding: relative to the population reference used in the study, Portugal has an especially large estimated Instagram audience. However, estimated audience penetration should not be interpreted as verified unique-person reach.

Instagram audience estimates may include account-level effects and methodological differences, and the study does not establish that every estimated account corresponds to a unique resident. Nor does high penetration demonstrate that Portuguese creators achieve better engagement or conversions.

What does Portugal's high penetration mean for brands?

It supports considering Instagram as an important channel when planning campaigns for Portuguese audiences.

But brands still need to evaluate whether the creators under consideration reach the intended demographic and geographic segments.

A high national audience-to-population ratio does not eliminate the need for creator-level audience validation.

Reading the study. Planning tip: Use Portugal's penetration figure to contextualize platform relevance, then assess audience geography and demographic fit before selecting creators.

Portugal stands out for estimated Instagram audience penetration, not for having the largest creator pool among the three markets.

Greece: high creator concentration relative to estimated users

Greece has 239,580 eligible Instagram creator profiles and a creator density of 5.21%. [1] That is the highest density among Portugal, Greece and the Netherlands. Greece's figure is also above the 30-market regional benchmark of 4.21%. Its position illustrates a different kind of relative market strength from Portugal's.

Portugal leads on estimated audience penetration. Greece leads on creator profiles relative to estimated Instagram users. These measures are not interchangeable.

What does Greece's high density mean for creator discovery?

A higher density indicates a larger eligible creator pool relative to the estimated Instagram audience. For a campaign targeting Greece, this can support broad initial discovery across creator categories and follower tiers.

However, density does not establish how the pool is distributed by niche, audience quality, commercial availability or price. A campaign requiring a narrow type of creator may still face recruitment constraints.

Reading the study. Planning tip: Use Greece's high density as a reason to investigate a broad initial shortlist, then narrow it using audience, content and commercial criteria.

Greece has the strongest relative creator concentration of these three markets, although it has the smallest absolute eligible pool.

Netherlands: the largest absolute pool among the three

The Netherlands records 336,304 eligible Instagram creator profiles, more than Portugal's 302,624 and Greece's 239,580. [1] That makes it the largest discovery universe among these three countries by recorded eligible profiles. The difference is meaningful, but it should not be overstated.

The Netherlands has approximately 11% more eligible profiles than Portugal and approximately 40% more than Greece. These comparisons establish relative scale, not superior campaign performance.

What does the larger Dutch creator pool mean for brands?

A larger recorded pool may provide more starting points for discovery across categories, locations and follower tiers. But the number of profiles that match a campaign brief may differ substantially from the total.

Brands should therefore distinguish between the size of the initial search universe and the number of qualified, reachable creators.

Reading the study. Planning tip: When comparing the Netherlands with Portugal or Greece, use absolute creator counts to scope discovery, but make the final market decision using qualified shortlist sizes and audience evidence.

The Netherlands offers the largest recorded creator pool of the three markets, but that advantage must be tested against campaign-specific requirements.

Figure 38 → Portugal, Greece and the Netherlands lead on different measures of Instagram market scale and concentration. Source: [1].

What do smaller European markets reveal about influencer marketing opportunities?

The smaller-market comparison reinforces several findings from the study's larger country analysis.

1. A high density ranking is not a market-size ranking

Cyprus has the highest creator density in the dataset, yet its eligible profile count is far below those of Italy, Spain or the United Kingdom.

Greece similarly leads Portugal and the Netherlands on density while having the smallest absolute pool of the three. Density measures relative supply. Count measures absolute supply. Both are needed for a meaningful comparison.

2. High audience penetration does not necessarily mean high creator density

Portugal's 61.1% estimated audience penetration makes it distinctive. But that metric describes estimated Instagram users relative to a population reference, not eligible creator profiles relative to Instagram users.

Platform audience penetration and creator density describe different relationships and should not be used as substitutes.

3. Small markets can be relevant to highly localized campaigns

A market does not need millions of creators to be worth considering. For a campaign targeting a specific country, language community or local audience, a smaller creator ecosystem may contain suitable collaborators.

The relevant question is whether enough qualified creators exist to meet the brief. Commercial relevance depends on campaign requirements, not the country's position in a Europe-wide ranking.

4. Smaller recruitment pools make qualification especially important

A high density percentage can create an impression of abundant supply. But in a small market, the absolute number of creators may still limit recruitment once audience, niche, language, quality and availability requirements are applied.

Vet the qualified pool before committing to creator volumes or campaign timelines.

5. Geographic scope should remain visible in every cross-market comparison

The 30-market European total, the 29-market sensitivity scenario, and individual country rankings are all valid within their stated definitions.

Problems arise when those definitions are omitted or when statistics from different geographic scopes are compared without qualification. Transparent methodology is part of useful market intelligence, not a footnote to it.

How should brands plan influencer campaigns in smaller European markets?

For smaller and mid-sized markets, the most useful approach is to move from regional statistics to campaign-specific feasibility.

A practical discovery workflow

First, define the geographic objective. Decide whether the campaign needs local residents, national audiences, tourists, diaspora communities, or another audience segment.

Second, select the appropriate supply metric. Use eligible profiles to understand initial scale, creator density to contextualize supply, and follower-tier counts where available to match the campaign format.

Third, qualify the audience. A creator assigned to a country is not necessarily followed primarily by people in that country.

Fourth, assess recruitment feasibility. Confirm the number of suitable creators who can actually participate, alongside fees, deliverables and timing.

Finally, allocate resources according to qualified opportunities. Avoid treating either the largest market or the highest-density market as the automatic priority.

Strategic recommendation: In smaller markets, build the campaign around the number of suitable creators you can validate, not the number suggested by a national ranking.

Campaign planning takeaway. Do not treat Europe as a single homogeneous influencer market, and do not dismiss smaller countries because their absolute creator counts are modest. Use transparent geographic definitions, compare countries on the relevant metrics, and make final decisions using qualified creator supply and audience evidence.

Among profiles classified as female or male in Influencity's 2026 European dataset, 59.8% are female-classified and 40.2% are male-classified. This is remarkably close to the corresponding US distribution, where 60.2% of classified profiles are female. [1, 5]

But there is an important qualification. Nearly one in three eligible European Instagram profiles, 31.6% of the 12.41 million profiles analyzed, has no gender classification.

That means the frequently cited 59.8% figure does not describe the proportion of all eligible European creator profiles that are women. It describes the proportion of female-classified profiles within the subset assigned a female or male classification.

The distinction changes the denominator, the interpretation, and the conclusions that can responsibly be drawn from the data. It also raises a broader question for influencer marketing: how should brands use demographic classifications when a substantial share of the creator scene remains unclassified?

Figure 39 → Classified-only gender shares differ from shares of all eligible Instagram profiles. Source: [1].

Two different statements are therefore accurate, but they mean different things:

59.8% of female/male-classified European Instagram creator profiles are female-classified.

40.9% of all eligible European Instagram creator profiles are female-classified.

The first describes the balance within the classified subset. The second describes the proportion of the entire recorded pool that received a female classification.

Neither should be rewritten as a definitive claim about the gender identities of all European Instagram influencers.

Reading the study. A demographic percentage is only as interpretable as its denominator. In this study, the classified-only distribution and the all-profile distribution answer different questions.

How does Europe's Instagram influencer gender distribution compare with the United States?

The European and US classified-only gender distributions are strikingly similar. In Europe, 59.8% of female/male-classified profiles are female-classified. In the United States, the equivalent figure is 60.2%. [1, 5]

That is a difference of less than half a percentage point. At first glance, the figures suggest a comparable female-majority pattern in the classified creator populations of both regions.

But a second comparison reveals an important difference in the data.

Similar classified distributions, different classification coverage

Europe has a 10.0-percentage-point higher unclassified share than the United States. In other words, a larger proportion of the US dataset receives a female or male classification.

This does not automatically make the US classification more accurate, nor does it establish why the difference exists. Classification coverage and classification accuracy are separate questions.

The figures show that the European dataset contains more profiles without a gender classification. They do not reveal whether that difference results from profile characteristics, available signals, regional composition, classification procedures, or other factors. Those explanations would require additional methodological evidence.

Do European and US Instagram influencers have almost identical gender distributions?

Not across their entire eligible populations. It can be concluded that the female/male-classified subsets have very similar recorded distributions.

What cannot be concluded is that the unclassified profiles in both datasets have the same gender composition as the classified subsets. Nor can it be assumed that classification uncertainty affects both regions in the same way.

The observed similarity is meaningful, but its scope is narrower than a statement about all creators. Europe and the United States look almost identical when we compare classified-only female shares. They look less comparable when we examine how much of each creator population receives a classification at all.

Figure 40 → Europe and the US have similar classified-only female shares, but different levels of gender classification coverage. Sources: [1, 5].

The two regions show similar female-majority patterns within their classified subsets, but Europe has substantially more unclassified profiles.

Which European countries have the highest female-classified creator shares?

Female-classified profiles form the majority of the classified subset, but the dataset does not assign a female or male classification to nearly one-third of eligible profiles.

All 30 country totals have more female- than male-classified profiles. Switzerland has only 78 more female-classified profiles than male-classified profiles; Greece has 380 more. Both should be described as near parity. Classification is a dataset attribute, not self-reported identity or evidence of interests, purchasing power, content category, effectiveness or audience composition. [1]

These figures show that a female-classified majority is present across the study footprint, but its magnitude is not uniform. They also demonstrate why classification coverage should be considered alongside the female share.

Russia: a pronounced female-classified majority with substantial unclassified supply

Russia has a 71.2% female share among classified profiles, the highest figure in the study. At the same time, 35.0% of all eligible Russian profiles are unclassified.

This combination deserves careful interpretation. The classified subset has a pronounced female majority, but more than one-third of the country's total eligible pool has no gender classification.

Russia's size also gives its classified distribution considerable weight in the European aggregate. As shown in section 07, excluding Russia reduces the regional classified female share from 59.8% to 56.6%.

The finding therefore matters at two levels: it describes Russia's classified profile composition and helps explain the composition of the broader regional statistics.

Reading the study. Country insight: Russia's classified female majority is substantial, but its high unclassified share and large contribution to regional totals make methodological context essential.

Lithuania and Poland: high female shares, different classification coverage

Lithuania records a 70.2% female share among classified profiles, while Poland records 69.8%. Their classified distributions are similar. Their unclassified shares, however, differ: 30.9% in Lithuania versus 25.6% in Poland.

That is a difference of 5.2 percentage points in classification coverage. The comparison illustrates a recurring limitation of demographic rankings: two countries can have nearly identical classified-only percentages while differing in the proportion of profiles for which the classification is available.

Reading the study. Country insight: Lithuania and Poland exhibit similarly high female-classified shares, but the share of unclassified profiles is lower in Poland.

Romania: a high female-classified share with comparatively broad classification coverage

Romania has a 69.1% female share among classified profiles, alongside an 18.0% unclassified share. Among the six country examples highlighted here, Romania has the lowest proportion of unclassified profiles.

That means 82.0% of its eligible profiles receive a female or male classification. This provides a broader classified subset than in Russia, Lithuania, or Switzerland. It does not establish that individual classifications are more accurate. It establishes that fewer profiles are left without a classification.

Reading the study. Country insight: Romania combines a pronounced female-classified majority with comparatively high classification coverage.

Figure 41 → Countries with similar classified female shares can differ substantially in gender classification coverage. Source: [1].

Which European Instagram influencer markets are closest to gender parity?

Switzerland and Greece have the most nearly balanced female/male-classified distributions among the country examples in this section. Switzerland records 50.04% female-classified profiles, while Greece records 50.11%.

The differences in absolute classified profile counts are exceptionally small:

• Switzerland: 78 more female-classified than male-classified profiles.
• Greece: 380 more female-classified than male-classified profiles. [1]

Both countries technically have female-classified majorities. But describing either as a strongly female-dominated creator market would be misleading. Their distributions are much more accurately characterized as near parity.

A percentage slightly above 50% establishes a numerical majority, but it does not necessarily establish a meaningful imbalance. Switzerland's female share exceeds 50% by just 0.04 percentage points. Greece's exceeds it by 0.11 percentage points. Those differences are too small to justify sweeping interpretations about the gender composition of their creator ecosystems.

The unclassified shares reinforce the need for caution. Switzerland has 36.5% unclassified profiles, while Greece has 27.6%. The near-parity finding applies to their classified subsets, not necessarily to their entire eligible creator populations.

What can brands conclude from near parity? They can conclude that the recorded female/male-classified profile counts are almost evenly divided. They cannot conclude that the markets are equally balanced across content categories, follower tiers, audience demographics, or campaign participation. Those would require additional data.

The difference between 50.04% and 71.2% is not simply a matter of ranking countries. It represents fundamentally different classified distributions. Switzerland is effectively balanced within its classified subset; Russia is not.

Figure 42 → Switzerland and Greece are effectively at parity among female/male-classified Instagram creator profiles. Source: [1].

A numerical majority is not necessarily a substantial demographic difference. Switzerland and Greece should be described as near-parity markets.

What does the unclassified category tell us about Europe's creator scene?

The 3,916,183 unclassified profiles are not a marginal detail. They represent nearly one-third of the study's eligible European creator population.

Their presence is one of the most important methodological considerations in gender analysis.

Unclassified does not mean male, female, nonbinary, or unknown identity

The category means that the dataset does not contain a female or male classification for those profiles. It should not be treated as a third gender identity. Nor should it be assumed to consist primarily of nonbinary creators, organizations, anonymous accounts, or any other specific group.

The classification counts do not establish why individual profiles are unclassified.

Likewise, a female or male classification is a dataset attribute. It is not necessarily a self-reported statement of gender identity. These distinctions matter because classification systems describe the information available in a dataset, not the full complexity of the people or entities behind the profiles.

What if unclassified profiles have a different gender distribution?

The study cannot answer that question from the classification counts. It would be inappropriate to assume that unclassified profiles follow the same female/male proportions as classified profiles.

That assumption would require evidence about how classifications are assigned and why profiles remain unclassified. It would also be inappropriate to distribute unclassified profiles proportionally across female and male categories simply to create a complete-looking demographic table.

Doing so would replace an observed data limitation with an unsupported estimate.

The unclassified share varies across countries. Among the examples presented here, Romania has 18.0% unclassified profiles, while Switzerland has 36.5%.

That difference affects how much of each country's eligible creator pool is represented in the classified-only gender distribution.

A country with a high classified female share and a high unclassified share should not automatically be described as having a more female creator population than a country with a lower classified female share and broader classification coverage.

The observed classified percentages can be compared, but claims about the entire population require additional evidence.

Figure 43 → Nearly one in three eligible European Instagram creator profiles has no gender classification. Source: [1].

Does influencer gender classification predict audience demographics or campaign performance?

No. A creator's gender classification does not establish the gender distribution of their followers, their content category, their commercial effectiveness, or the audiences they can reach. This is an essential distinction for influencer marketing.

A female-classified creator may have a predominantly male audience. A male-classified creator may have a predominantly female audience. Creators of any classification may produce content across a wide range of categories and reach diverse communities.

Creator classification is not audience composition

For brands targeting a particular consumer demographic, creator gender is not a substitute for follower demographics.

Audience composition must be evaluated using audience-level evidence. A campaign aimed at women, for example, should not automatically restrict discovery to female-classified creators. The relevant question is which creators reach the intended consumers with appropriate, credible content.

Creator classification is not content specialization

The niche data in section 15 shows that some content niches skew more female than others: 73.8% of classified beauty profiles are female, against 50.5% in tech & gaming. But every niche contains large numbers of both female- and male-classified creators, and a niche tag describes a profile, not an individual's expertise.

Gender classification should not be used to infer which content a creator produces. Content relevance should be evaluated directly.

Creator classification is not purchasing power or influence

A creator's classification does not reveal the purchasing power of their audience. Nor does it establish engagement quality, conversion rates, trust, credibility, or return on investment.

Those characteristics require different evidence.

Reading the study. Gender classification can describe a recorded creator population. It should not be used as a shortcut for audience targeting, category relevance, or campaign effectiveness.

How should brands use gender data when selecting Instagram influencers?

The most useful application of the study's gender data is descriptive and analytical. It can help brands understand the composition of the recorded creator ecosystem, compare classified subsets across countries, and identify where demographic interpretation requires additional caution.

It should not determine campaign selection by itself.

Four principles for responsible demographic analysis

1. State the denominator. Specify whether a percentage refers to all eligible profiles or only those classified as female or male.

2. Report missing classifications. The unclassified share is necessary context, not optional background information.

3. Avoid inferring identity or behavior. A dataset classification should not be presented as self-reported identity or evidence of interests, skills, or audience characteristics.

4. Validate campaign-relevant characteristics directly. Use follower demographics, audience geography, content analysis and performance evidence when making creator-selection decisions.

Reading the study. Keep creator gender classification separate from audience demographics in your campaign reports. Combining them into a single targeting assumption can obscure the factors that actually determine relevance.

What are the most important findings about gender classification in European influencer marketing?

1. Female-classified profiles are the majority of the classified European pool

Female-classified profiles account for 59.8% of profiles classified as female or male. That is a clear recorded majority within the classified subset. It is not a verified estimate of the gender identities of all eligible creators.

2. Europe's classified distribution closely resembles the US

The European figure of 59.8% is close to the US figure of 60.2%. But Europe's higher unclassified share means the comparison must be qualified.

3. Country-level differences are substantial

Russia, Lithuania, Poland, and Romania have classified female shares of approximately 69–71%. Switzerland and Greece are close to 50%. A single European percentage therefore conceals considerable variation across countries.

4. Russia has an outsized influence on the regional result

Russia's large creator population and high classified female share materially affect Europe's aggregate distribution. Excluding Russia reduces the regional classified female share from 59.8% to 56.6%.

5. Classification cannot replace audience evidence

The dataset describes creator profiles, not the demographics of their followers or the effectiveness of their campaigns. For brands, the distinction between descriptive research and actionable targeting must remain explicit.

Figure 44 → Five findings that explain Europe's Instagram creator gender classifications—and their limits. Sources: [1, 5].

Europe's Instagram influencer marketing scene has a clear female-classified majority within the profiles assigned a female or male classification. That majority appears across all 30 markets, although its size varies from pronounced differences in Russia, Lithuania, Poland, and Romania to near parity in Switzerland and Greece.

The European classified-only distribution also closely resembles the US figure. But the study's most important qualification is equally clear: 31.6% of eligible European creator profiles have no gender classification.

Campaign planning takeaway. Use gender classification to understand the recorded creator landscape, not to infer audience composition or commercial value. Always report the unclassified share, preserve the distinction between classified-only and all-profile percentages, and evaluate individual creators against the actual campaign brief.

Yes. Among European Instagram creator profiles with a female or male classification, female-classified profiles form the overall majority, but male-classified profiles form the majority in the mega tier.

Across the study's 30 European markets, 59.8% of female/male-classified eligible Instagram profiles are female-classified, compared with 40.2% male-classified. At the mega tier, however, the distribution reverses: 55.5% of classified records are male-classified and 44.5% are female-classified. [1] This is a substantial difference in the composition of the two recorded populations.

It does not mean male creators are more successful, that female creators face a particular barrier, or that one gender produces more effective content. The dataset establishes a difference in the distribution of classifications across follower tiers. It does not establish the causes of that difference.

Nevertheless, the finding challenges a common assumption: that the demographic composition of a creator ecosystem remains broadly consistent as follower counts increase.

In Europe's Instagram data, it does not. The mega tier is not simply a smaller version of the overall creator population.

How does the gender distribution change at the Instagram mega tier?

The study records 6,363 mega-tier entries classified as female or male, alongside a further 1,856 mega-tier entries without a gender classification. [1] That gives a total of 8,219 reported mega-tier entries.

Three numbers explain the reversal

The male share rises by 15.3 percentage points between the overall classified eligible pool and the classified mega tier. Conversely, the female share falls by 15.3 percentage points. This is not a small fluctuation around parity. It is a reversal of the majority.

Reading the study. The overall creator population is heavily influenced by the large number of profiles in smaller follower tiers. Mega creators represent a much narrower group. Comparing the two reveals that their recorded gender compositions differ, but it does not establish a progression in which individual creators move from one tier to another.

The study is a cross-sectional analysis. It does not track the same creators over time or observe how their follower counts change.

Therefore, the findings should be described as differences between follower-tier populations, not as evidence that creators of one gender are more likely to advance.

Europe's classified Instagram creator population has a female majority overall, while its classified mega-tier population has a male majority. The distribution changes with follower tier, but the dataset does not explain why.

Figure 45 → The classified female majority across eligible European Instagram profiles becomes a male majority at the mega tier. Source: [1].

Which European countries have male-majority Instagram mega tiers?

The regional reversal is visible in several of Europe's largest creator markets.

France, Spain, Italy, Germany, and the United Kingdom all have more male-classified than female-classified mega-tier entries.

Russia is the notable exception among the six countries examined here: its classified mega tier remains female-majority. [1]

Male share = male ÷ (male + female) within the reported mega tier. Source: [1].

France: the strongest male majority among the six large markets

France has 448 male-classified mega entries and 254 female-classified entries. Its male share of 63.8% is the highest among these six markets. That produces a gap of approximately 27.6 percentage points between the male and female shares within France's classified mega tier.

The contrast is particularly noteworthy because France's overall creator ecosystem has a female-classified majority, as discussed in section 08. The mega-tier distribution is therefore not representative of the country's broader classified profile population.

Reading the study. France illustrates how dramatically the gender composition of a follower tier can differ from the overall creator pool.

Spain and Italy: nearly identical mega-tier distributions

Spain records 521 male-classified and 335 female-classified mega entries, producing a male share of 60.9%. Italy records 438 male-classified and 282 female-classified mega entries, producing a male share of 60.8%.

The difference between their male shares is less than 0.1 percentage points. Yet the countries differ substantially in overall creator density and follower-tier composition.

As earlier sections show, Italy's high creator density is overwhelmingly associated with nano profiles, while Spain has one of the highest concentrations of established creators relative to estimated Instagram users.

Despite those differences, their classified mega-tier gender distributions are almost identical.

Reading the study. Similar mega-tier gender distributions do not imply similar creator ecosystems. Spain and Italy arrive at nearly the same classified mega-tier split despite different overall supply patterns.

Germany: a male-majority mega tier within a lower-density creator market

Germany records 321 male-classified and 232 female-classified mega entries. Its classified mega-tier male share is 58.0%. Germany has a lower overall creator density than Italy and Spain, but a comparatively high share of established creators in its eligible pool.

The gender composition of its mega tier adds another distinct characteristic to that market profile.

However, the study does not establish a causal relationship between Germany's creator density, its established-creator share, and the gender distribution of its mega entries. These are separate descriptive findings.

Reading the study. Germany's mega tier has a male-classified majority, but that pattern cannot be explained from creator-density figures alone.

United Kingdom: the largest classified mega-tier count among these six markets

The United Kingdom records 853 male-classified and 643 female-classified mega entries. That produces a male share of 57.0%. The UK has the largest number of classified mega entries among the six countries shown in the table, with 1,496 records classified as female or male.

It also has 568 unclassified mega entries, more than any other country in this six-market comparison. This combination makes the UK particularly important when interpreting the mega-tier data. It has substantial absolute volume, a male majority among classified entries, and a sizeable group for which no gender classification is available.

Reading the study. The UK's classified mega tier is male-majority, but the substantial unclassified population limits conclusions about the full mega-tier distribution.

Figure 46 → Mega-tier gender patterns differ from country-wide classified gender patterns. Five of the six large markets shown have male majorities among classified mega entries; Russia has a female majority. Source: [1].

Russia: the major exception to Europe's male-majority mega-tier pattern

Does Russia also have more male than female Instagram mega creators?

No. Russia records 738 female-classified mega entries and 499 male-classified entries. Female-classified entries account for 59.7% of Russia's classified mega tier, while male-classified entries account for 40.3%. [1] That makes Russia the only female-majority market among the six large countries examined above. The result is especially interesting when considered alongside Russia's overall gender classification.

As section 08 established, 71.2% of Russia's female/male-classified eligible profiles are female-classified. At the mega tier, the female share is lower, at 59.7%, but remains a majority.

The female majority narrows without disappearing

Russia demonstrates that the regional pattern is not universal. Its classified mega tier contains proportionally fewer female entries than its overall classified eligible pool.

But unlike France, Spain, Italy, Germany, and the UK, it does not cross into a male majority. The female share declines by approximately 11.6 percentage points between the overall classified pool and the classified mega tier.

This fits the wider pattern of a female majority that narrows at higher follower levels, but it also shows that not every country has a male-majority mega tier.

Russia's large creator population influences several European aggregate statistics, including the overall classified female share. Its mega-tier pattern also differs from those of the other large markets in this section.

This reinforces the importance of examining both regional totals and country-level distributions. A single European mega-tier percentage can describe the aggregate while concealing meaningful national differences.

Reading the study. Russia does not contradict the finding that the female share narrows at the mega tier. It shows that narrowing and reversal are not the same phenomenon.

Figure 47 → Russia retains a female-classified majority at the mega tier, although that majority is narrower than in its overall classified pool. Source: [1].

Russia is an exception to the male-majority mega-tier pattern among the six large markets, but it still shows a narrowing of the overall female-classified majority.

Is the male-majority mega-tier pattern consistent across all European countries?

No. The study records three different country-level outcomes. Across the 30 European markets:

• 19 countries have more male-classified than female-classified mega-tier entries.
• Nine countries have more female-classified than male-classified mega-tier entries.
• Two countries have equal male- and female-classified mega-tier counts. [1]

The male-majority pattern is therefore more common, but it is not universal.

Why the number of mega entries matters

Some countries have fewer than ten classified mega-tier entries. In such cases, a small difference in absolute counts can produce a large percentage difference.

For example, a hypothetical market with six male-classified and three female-classified mega entries would have a male share of 66.7%.

That percentage might appear substantial, but it would describe a difference of only three records. The example is illustrative, not a finding about any particular country. This is why percentages should not be presented without denominators, especially in smaller markets.

What can we conclude from the 19–9–2 split?

We can conclude that male-classified mega entries outnumber female-classified entries in most countries covered by the study. We cannot conclude that the magnitude of those differences is similar across countries.

Nor can we conclude that every country provides an equally informative comparison. A market with hundreds of classified mega entries offers a different level of descriptive detail from a market with only a handful. The study also does not establish statistical significance, sampling uncertainty, or the underlying causes of the differences.

Reading the study. For markets with very small denominators, prioritize counts and avoid strong demographic characterizations.

Figure 48 → Male-classified mega entries outnumber female-classified entries in 19 of the 30 European markets. Source: [1].

How much of Europe's mega tier has no gender classification?

The study records 1,856 mega-tier entries without a gender classification, alongside 6,363 entries classified as female or male.

That means approximately 22.6% of reported mega-tier entries are unclassified. The classified subset accounts for the remaining 77.4%.

Calculated from reported mega-tier counts in [1]. Percentages are rounded.

This is a lower unclassified share than the 31.6% recorded across all eligible European profiles. That difference is descriptively interesting, but it does not establish that gender classification is more accurate at the mega tier. Coverage and accuracy are different properties.

The reported male majority of 55.5% applies only to mega-tier entries classified as female or male. It does not establish the gender composition of the 1,856 unclassified entries. If those records were assigned classifications, the full-tier distribution could differ from the classified-only result.

The dataset does not support assigning them to either category. The correct interpretation is therefore that male-classified profiles account for 55.5% of classified European Instagram mega-tier entries, not that 55.5% of all European Instagram mega creators are men.

Classification coverage also differs by country

The six-country table shows substantial unclassified counts. The UK records 568 unclassified mega entries, France 213, Spain 226, Italy 228, Germany 156, and Russia 190.

These records should remain visible in visualizations and interpretation. They should not be distributed proportionally between female and male categories unless a separate, validated estimation method is available.

Reading the study. The mega-tier gender reversal is a real feature of the classified records. The unclassified population is a limitation on how broadly that result can be generalized—not a reason to ignore the observed pattern.

Figure 49 → More than one in five reported European Instagram mega-tier entries has no gender classification. Source: [1].

Is the narrowing female majority unique to European Instagram?

No. The study's comparison datasets show related patterns in US Instagram and US TikTok, although the final mega-tier distributions differ.

In all three datasets, the female share among classified profiles is lower at the top of the follower ladder than in the broader classified creator population.

But the mega-tier outcome is not identical.

European Instagram: a clear male majority

Europe's classified Instagram mega tier has a male share of 55.5%. That is a noticeable departure from the female majority in its overall classified eligible population.

US Instagram: the female majority narrows to near parity

The US Instagram mega tier is almost evenly balanced, with a 50.1% female share. This is an important counterexample to the idea that mega-tier creator populations necessarily become male-majority.

The female share narrows, but the classified distribution remains fractionally female-majority. It is best described as near parity.

US TikTok: a male-majority mega tier

US TikTok records a 52.4% male share among classified mega-tier entries. This resembles the direction of the European Instagram finding, although the magnitude is smaller. The result shows that a male-majority mega tier is not exclusive to European Instagram.

However, the datasets cover different platforms and geographies. Their classification methods, eligible populations, and creator ecosystems should not be assumed to be perfectly interchangeable.

What can the three-dataset comparison tell us?

It supports a descriptive observation: the female majority narrows at the highest follower levels across all three datasets. It does not establish a common cause.

Potential explanations involving platform algorithms, content categories, audience preferences, creator monetization, historical participation, or structural inequality would require additional evidence.

Reading the study. The narrowing of the female majority appears across European Instagram, US Instagram, and US TikTok. A male-majority mega tier appears in two of the three datasets, while US Instagram is near parity.

Figure 50 → The female majority narrows at the mega tier across European Instagram, US Instagram, and US TikTok, but the final gender balance differs. Sources: [1, 5, 6].

What might explain the gender difference at the top of the follower ladder?

The study identifies a pattern, not its cause. This distinction is especially important because demographic differences can invite explanations that sound plausible but are not supported by the available evidence.

The dataset does not establish why male-classified profiles are more prevalent in Europe's mega tier than in its overall classified creator pool. It also does not establish whether the difference results from creator-category composition, platform dynamics, account age, audience behavior, or other factors.

Causal restraint matters. A descriptive imbalance is not evidence of a particular mechanism.

The finding that male-classified entries form a majority of Europe's classified mega tier does not, by itself, demonstrate unequal opportunities, algorithmic preference, differences in ambition, or differences in creator quality.

Those claims would require evidence beyond the tier counts.

The study establishes a gender-composition difference across follower tiers. It provides a basis for further investigation, not a causal explanation.

What does the mega-tier gender pattern mean for an Instagram influencer marketing strategy?

The gender composition of the mega tier is useful for understanding the recorded creator landscape, but it should not determine creator selection.

Brands should distinguish between three separate questions:

1. What is the gender classification of the creator?
2. Who follows the creator?
3. Is the creator suitable for the campaign?

The study's mega-tier gender data answers the first question only, and only for classified records. It does not answer the second or third.

Do not confuse creator demographics with audience demographics

A male-classified mega creator may reach a predominantly female audience. A female-classified mega creator may reach a predominantly male audience.

The relationship between creator classification and audience composition must be evaluated directly. For brands targeting a particular consumer demographic, follower-level evidence is more relevant than creator gender classification alone.

Do not assume follower count determines commercial effectiveness

Mega creators have large audiences by definition, but follower count does not establish campaign performance. Reach, engagement quality, audience relevance, conversion potential, creator fees, and content fit remain essential considerations.

A smaller creator may be more suitable for a particular campaign than a mega creator, regardless of gender classification.

Avoid using gender distributions as a proxy for content categories

The study does not establish that male- or female-classified mega creators are concentrated in particular industries or content niches. Section 15 reports niches by gender across all eligible profiles in six markets, not by follower tier. Category assumptions should be tested using content-level evidence.

Use tier-specific data to improve discovery planning

The most actionable implication is methodological. If a campaign requires mega creators, the relevant discovery universe is the mega tier—not the overall creator population.

Brands should avoid assuming that the demographic composition of the full eligible pool describes the creators available at the required follower level.

Reading the study. Build creator shortlists using follower tier, audience geography, content relevance, and campaign objectives first. Treat gender classification as a descriptive attribute rather than a substitute for audience fit or expected performance.

How should researchers and marketers report gender differences by follower tier?

The study's findings are most useful when presented with consistent definitions and clear denominators.

Five rules for accurate interpretation

First, keep the denominator visible. A male share of 55.5% refers to classified mega entries, not every mega-tier record.

Second, distinguish records from individuals. The dataset reports eligible profiles and tier entries, not necessarily unique people.

Third, avoid universal claims. Nineteen markets have male-majority mega tiers, but nine have female majorities and two are tied.

Fourth, report absolute counts. Percentages based on very small mega-tier populations can be misleading without their denominators.

Fifth, separate patterns from explanations. The study identifies a difference in classification distributions, not why it exists.

Europe's Instagram influencer scene has a female-classified majority overall. Its classified mega tier does not.

Across the 30 markets, male-classified entries account for 55.5% of the classified mega tier, compared with 40.2% of the broader classified eligible population.

The pattern appears in several major markets, including France, Spain, Italy, Germany, and the United Kingdom. Russia is a notable exception, retaining a female-classified majority at the mega tier.

Across the full study footprint, 19 markets have male-majority mega tiers, nine have female majorities, and two are tied. The comparison with US Instagram and US TikTok adds an important qualification: the narrowing of the female majority at the top of the follower ladder appears in all three datasets, but a male-majority mega tier is not universal.

The central finding is a change in composition, not an explanation of success. The data does not establish why the gender distribution differs across follower tiers. It does not measure the career trajectories of individual creators or demonstrate that one gender has an inherent advantage.

What it does establish is that the demographic profile of an entire creator industry cannot safely be projected onto its largest accounts. For researchers, that is a reason to examine follower tiers separately.

For brands and agencies, it is a reminder to evaluate the actual creator pool relevant to a campaign rather than relying on headline demographic averages.

Campaign planning takeaway. Use follower-tier-specific data to understand the recorded recruitment universe. Report gender classifications with their denominators and unclassified counts. Select creators using audience evidence, content relevance, availability, and campaign economics, not assumptions derived from demographic distributions.

How are Instagram influencers distributed by follower tier in Europe?

Nano creators dominate the recorded ecosystem. Across the 30 markets in Influencity's 2026 European Instagram study, 87.3% of reported follower-tier entries belong to the nano tier, covering accounts with approximately 1,000 to 10,000 followers. Micro creators account for another 11.4%. [1]

Together, nano and micro entries represent 98.7% of the recorded follower-tier distribution. Macro and mega creators account for only a small fraction of the total.

Yet those larger tiers reveal a different kind of concentration. The United Kingdom alone accounts for 25.1% of Europe's reported mega-tier entries, while the six largest creator markets collectively account for 86.9% of mega entries, compared with 76.7% of the headline eligible creator pool. [1]

The result is a creator ecosystem with two distinct characteristics: An enormous base of smaller profiles, and a comparatively narrow, geographically concentrated population of very large accounts. Understanding both is essential for interpreting European influencer supply.

For brands and agencies, the relevant question is not simply how many creators exist in a market. It is how many creators exist at the follower level a campaign actually needs.

How many nano, micro, macro and mega Instagram creators are there in Europe?

The study divides eligible Instagram creator profiles into four follower tiers.

What does the distribution tell us?

The difference between the tiers is enormous. The nano tier contains more than 10.8 million reported entries.

The micro tier contains approximately 1.41 million. The macro tier contains just over 154,000, while the mega tier contains 8,219.

In other words, the European Instagram creator population is not evenly distributed across follower sizes. It resembles a steep pyramid: a very broad base of smaller accounts, narrowing sharply toward the largest audiences.

Nano creators account for almost seven out of every eight tier entries

At 87.3%, nano entries dominate the recorded distribution. This is important because the largest creator population is not composed of celebrities or accounts with hundreds of thousands of followers. It consists overwhelmingly of profiles at the lower end of the study's eligible follower range.

That finding helps explain why countries with large nano populations can have high overall creator density without necessarily having an equally large supply of established creators. Italy provides a clear example, as discussed in section 06.

Its unusually high creator density relative to Germany is driven overwhelmingly by nano profiles.

Micro creators form the second-largest tier

Micro creators account for 11.4% of reported tier entries. Although that percentage is much smaller than the nano share, it still represents more than 1.4 million records. For brands seeking creators above the nano threshold but below macro scale, the micro tier therefore represents a substantial recorded discovery universe.

However, the study does not establish how many of these creators are active, available for partnerships, or suitable for any specific campaign.

Macro and mega creators are rare in the recorded population

Macro entries account for approximately 1.24% of the tier distribution. Mega entries account for approximately 0.066%. These small shares demonstrate that large follower counts are uncommon relative to the full eligible creator population.

They do not establish that macro or mega creators are more valuable, more effective, or more commercially successful. Follower size is a measure of account scale, not a direct measure of influence or campaign performance.

Reading the study. Europe's Instagram creator ecosystem is overwhelmingly composed of smaller accounts. The larger follower tiers are numerically scarce, making tier-specific discovery more informative than headline creator counts.

Figure 51 → Nano and micro creators account for approximately 98.7% of reported Instagram follower-tier entries across 30 European markets. Source: [1].

Why do nano and micro creators dominate Europe's Instagram supply?

Nano and micro creators account for approximately 98.7% of reported follower-tier entries. That means the overwhelming majority of the recorded eligible creator ecosystem sits below 100,000 followers.

This finding is important for understanding the structure of the market, but it should not be confused with evidence about creator behavior or commercial performance.

A large creator population does not imply a large professional workforce

The dataset identifies eligible Instagram profiles according to the study's criteria.

It does not establish that every eligible profile is operated by someone who considers themselves a professional influencer.

Nor does it establish that every profile is actively seeking brand partnerships.

A creator with a few thousand followers may produce content regularly, collaborate with brands, or maintain a highly engaged community.

Another profile in the same follower band may have little interest in commercial partnerships.

The follower-tier data cannot distinguish between those situations.

What does the nano majority mean for market analysis?

It means that total creator counts are heavily influenced by the size of the nano population. A country can rank highly in overall creator supply because it contains many nano profiles.

That does not necessarily mean it has a similarly strong position among macro or mega creators. This is why total eligible profiles and follower-tier composition should be analyzed together.

The country-level findings in section 06 demonstrate the distinction. Italy has approximately 1.70 times Germany's total eligible creator count, but only about 1.15 times Germany's number of profiles with 10,000 or more followers.

The difference narrows substantially when the analysis moves beyond nano supply.

What does the nano majority mean for brands?

It provides a strong reason to include smaller creators in discovery rather than restricting searches to the largest accounts. However, it does not establish that nano creators deliver better engagement, stronger trust, lower fees, or higher returns.

Those claims require campaign-level evidence.

Reading the study. The dominance of nano creators is a structural feature of the recorded market. Whether that abundance translates into a commercial advantage depends on the campaign objective and the quality of the creators available.

How many European Instagram creators have at least 10,000 followers?

The study records approximately 1.57 million entries across the micro, macro and mega tiers. These are the reported entries above the nano tier. Together, they account for approximately 12.7% of the follower-tier distribution.

Why the 10K+ threshold matters

The 10,000-follower threshold provides a useful way to distinguish the large nano population from the smaller pool of profiles with more substantial follower counts.

It is not a universal definition of professional influence. A creator with 9,000 followers may be commercially experienced, while one with 20,000 followers may have no partnership history. Nevertheless, the threshold is useful for comparing the structure of creator supply across markets.

The same country can look very different depending on the tier

France illustrates the importance of this distinction. It has a relatively low overall creator density compared with Italy or Spain, but the highest proportion of eligible profiles above 10,000 followers among the 30 markets.

Germany shows a similar pattern, with a comparatively high established-creator share despite below-benchmark overall density. The United Kingdom and Spain, meanwhile, lead the study in profiles with 10,000+ followers relative to estimated Instagram users.

These findings show why a country ranking based on total eligible profiles cannot substitute for a follower-tier comparison.

Reading the study. Planning tip: If a campaign requires creators above 10,000 followers, compare countries using their 10K+ counts and qualified shortlist sizes rather than total eligible profiles alone.

Figure 52 → Approximately 1.57 million reported European Instagram tier entries fall above the nano tier. Source: [1].

Where are Europe's mega Instagram creators concentrated?

The mega tier is extremely small relative to the full eligible creator population.

Across the 30 markets, the study records 8,219 mega-tier entries, representing approximately 0.066% of all reported follower-tier entries. [1] Yet those entries are not evenly distributed across Europe.

The United Kingdom alone accounts for approximately 25.1% of the regional mega tier. The six largest creator markets—Russia, the UK, Italy, Spain, Germany and France—account for 86.9% of all mega-tier entries.

Those same six countries account for 76.7% of the headline eligible creator pool. This reveals a stronger geographic concentration at the top of the follower ladder.

The UK's exceptional mega-tier position

The UK records 2,064 mega-tier entries, the largest national count in the dataset. That represents approximately one-quarter of all European mega entries. Russia, despite having a substantially larger overall eligible creator pool, records 1,427 mega entries.

This contrast demonstrates that total creator supply and mega-tier supply are not distributed in the same proportions.

The UK is the largest recorded mega-creator market in the study, even though Russia leads on total eligible profiles.

Six large markets account for nearly nine in ten mega entries

The six largest creator markets collectively contain approximately 86.9% of mega entries. That is 10.2 percentage points higher than their 76.7% share of headline eligible profiles. The concentration is therefore more pronounced at the mega tier than in the overall creator population.

This does not establish that mega creators in those markets are more effective or commercially accessible. It establishes that the reported mega-tier supply is concentrated geographically.

Why mega-tier concentration matters for campaigns

Brands planning campaigns around creators with more than one million followers may find that the initial discovery universe is concentrated in a relatively small number of countries.

But creator location does not necessarily correspond to audience location. A mega creator assigned to the UK may have a substantial international following. For cross-border campaigns, audience geography may matter more than the creator's assigned country.

Reading the study. Europe's creator population is geographically concentrated, but its mega tier is even more so. The UK is particularly prominent at the top of the follower ladder.

Figure 53 → Europe's six largest creator markets account for a disproportionately high share of mega-tier entries. Source: [1].

How do follower tiers change the interpretation of national creator markets?

The follower-tier distribution helps explain why countries with similar creator counts can have different recruitment characteristics.

It also explains why a country's overall creator-density ranking may not reflect its position among established or mega creators.

Italy: a large creator pool dominated by nano supply

Italy has one of Europe's highest overall creator densities. But the study shows that most of its density advantage over Germany comes from nano profiles.

For brands requiring numerous smaller creators, that is a relevant discovery characteristic. For brands requiring creators above 10,000 followers, the difference between Italy and Germany is much narrower.

France: fewer total creators, but a higher established-creator share

France has a smaller eligible creator pool than Italy, Spain or Germany. Yet it has the highest proportion of profiles above 10,000 followers in the study, at approximately 17.0%.

This makes France an important example of how a lower total creator count can coexist with a comparatively established-heavy tier distribution.

United Kingdom: strength at the top of the follower ladder

The UK has the largest recorded mega-tier count and one of the strongest pools of established creators relative to estimated Instagram users. Its position differs from Italy's nano-driven density advantage.

Both markets are significant, but for different reasons.

Spain: substantial supply across the established tiers

Spain combines above-benchmark overall creator density with one of Europe's highest concentrations of profiles above 10,000 followers relative to estimated Instagram users.

Its profile illustrates why established-creator density can be a useful additional measure alongside total supply.

What should brands learn from these contrasts?

A country should not be classified as a strong or weak influencer market using one follower-tier metric. The relevant measure depends on the campaign.

For a program requiring many nano creators, total eligible supply and nano counts may be particularly useful. For a campaign requiring established creators, 10K+ counts provide a more relevant starting point. For a mega-creator campaign, the number of recorded mega entries and their audience characteristics become central.

Reading the study. The follower-tier mix determines what a country's creator count actually means for recruitment.

Figure 54 → European Instagram markets differ not only in total creator supply but in how that supply is distributed across follower tiers. Source: [1].

Does follower tier determine influencer engagement or campaign performance?

No. The European dataset does not establish which follower tier delivers the strongest engagement, conversions or return on investment. It records creator supply and follower-tier distribution. It does not provide European engagement-rate benchmarks by tier, creator fees, conversion rates or campaign performance data.

This limitation matters because follower-tier discussions often move too quickly from supply statistics to performance claims.

A tier can contain many creators without being the best-performing tier for a particular objective. Likewise, a small tier can contain commercially valuable creators without being universally more effective.

What do Influencity's category studies suggest?

Two additional Influencity studies provide relevant, but geographically separate, evidence.

• Supplements, United States and Mexico. A category study reported average engagement of approximately 57% for creators below 100,000 followers, compared with 24% for creators above one million followers. [7]
• Food, United States. A study of 10,568 social mentions found that micro-creators accounted for more than half of tagged posts. [8]

These findings provide examples of how follower tiers may differ in specific categories and markets. They do not establish the performance of nano, micro, macro or mega creators across Europe.

They also measure different outcomes: one reports engagement, while the other describes the distribution of tagged posts. Those outcomes should not be treated as interchangeable.

Reading the study. The European tier distribution shows where creator supply is concentrated. The US and Mexico category studies suggest questions worth testing, not performance rules for European campaigns.

What does the follower-tier distribution mean for Instagram influencer marketing strategy?

The study supports a tier-aware discovery strategy rather than one that relies exclusively on large accounts. However, tier selection should follow the campaign objective.

These are planning starting points, not findings that one tier consistently performs better than another.

Stage 1: Define the campaign objective

Begin with the outcome the campaign needs to achieve. That might be awareness, content production, product discovery, traffic, qualified leads or sales. The objective determines which creator characteristics matter.

Stage 2: Select relevant follower tiers

Use the study's tier counts to understand the potential discovery universe. A campaign requiring many smaller creators should not be scoped using only macro and mega profiles. A campaign requiring creators above 100,000 followers should not be planned from the total eligible count.

Stage 3: Qualify individual creators

Apply content, audience, geography, activity, authenticity and brand-fit requirements. Follower count alone does not establish suitability.

Stage 4: Evaluate commercial feasibility

Confirm creator availability, fees, deliverables, rights, disclosure requirements and campaign timing. The number of eligible profiles is not the number of creators willing or able to participate.

Stage 5: Measure results

Compare outcomes against the campaign objective. Do not assume that a larger follower tier will deliver better results or that a smaller tier will automatically be more cost-effective.

Reading the study. Build shortlists by follower tier and country, then evaluate qualified supply and campaign economics before deciding how much budget to allocate to each group.

What are the most important findings about Europe's Instagram follower tiers?

1. Nano creators dominate the recorded ecosystem

The nano tier contains 10.82 million entries, accounting for 87.3% of the follower-tier distribution.

2. Nano and micro creators account for nearly the entire pool

Together, nano and micro entries represent approximately 98.7% of reported tier entries.

3. Only a small minority of profiles sit above 100,000 followers

Macro and mega entries together account for approximately 1.3% of the reported distribution.

4. Mega creators are highly concentrated geographically

The six largest creator markets account for 86.9% of mega entries, compared with 76.7% of headline eligible profiles.

5. The UK has Europe's largest recorded mega-tier population

The UK contributes 2,064 mega entries, or approximately 25.1% of the regional total.

6. Follower-tier composition changes country rankings

Italy's strength is particularly pronounced in nano supply, while France has the highest established-creator share and the UK leads in mega entries.

7. Tier distribution does not establish performance

The study does not measure European engagement rates, creator fees, conversions or ROI by follower tier.

Figure 55 → Seven findings explain the structure and geographic concentration of Europe's Instagram follower tiers. Source: [1].

Europe's influencer economy is a pyramid, not a celebrity roster

Europe's recorded Instagram creator ecosystem is overwhelmingly composed of nano and micro profiles. Together, they account for almost 99% of reported follower-tier entries.

Macro and mega creators are numerically rare, and the largest accounts are concentrated disproportionately in a small group of countries. The United Kingdom's position is especially striking: it contributes approximately one-quarter of all recorded European mega-tier entries, despite accounting for a much smaller share of the overall creator population.

These findings challenge the idea that a country's influencer market can be understood through its largest creators, or through its total creator count alone.

The relevant measure of supply changes with the follower tier a campaign needs. For a brand planning broad creator discovery, the nano and micro populations provide the largest recorded universe.

For a campaign requiring established creators, the 10K+ pool is more relevant. For a mega-creator campaign, geographic concentration and audience reach become particularly important.

None of these structural findings determines which tier will produce the strongest commercial outcome. That question requires campaign-level evidence.

Campaign planning takeaway. Use follower-tier counts to understand the scale and structure of potential recruitment. Compare countries at the relevant follower threshold, qualify creators using audience and content evidence, and measure performance rather than assuming it from follower size.

Does TikTok have more influencers than Instagram in Europe? The regional data suggests that it does. TikTok's summary reports approximately 21.4 million eligible creator profiles, compared with 12.41 million on Instagram. Yet TikTok's estimated audience is smaller: 252.3 million users, compared with 294.5 million on Instagram. [1, 4]

Taken together, these figures produce a striking contrast. Instagram has a reported creator density of 4.21%, while the TikTok figures imply a density of approximately 8.5%.

In other words, TikTok appears to have roughly twice as many eligible creator profiles relative to its estimated audience. But this is a contextual comparison, not a validated platform ranking.

The European TikTok figures come from a regional summary rather than a matched, fully reconciled country-level dataset. Differences in eligibility rules, geographic coverage, account classification and observation dates may affect the comparison.

The numbers are therefore useful for understanding the possible scale of Europe's cross-platform creator landscape. They are not sufficient to establish which platform has more unique creators, stronger audiences or better commercial performance.

The central question is not simply which platform has more creators. It is what creator density can—and cannot—tell us about the two ecosystems.

How does Instagram's creator density compare with TikTok's in Europe?

The study's Instagram dataset covers 30 European markets and reports 12,407,130 eligible profiles against 294,504,100 estimated Instagram users.

The TikTok regional summary reports approximately 21.4 million eligible profiles and 252.3 million estimated users. [1, 4]

What does creator density measure?

Creator density is calculated as: Eligible creator profiles ÷ estimated platform users × 100. The resulting percentage describes the number of eligible creator profiles relative to the platform's estimated audience.

• For Instagram: 12.41 million eligible profiles ÷ 294.5 million estimated users ≈ 4.21%
• For TikTok: 21.4 million eligible profiles ÷ 252.3 million estimated users ≈ 8.48%

That gives TikTok a calculated density approximately 2.01 times Instagram's. On these inputs, TikTok has more eligible creator profiles relative to its estimated user base.

It does not mean that 8.48% of unique TikTok users are verified professional influencers. The numerator counts eligible profiles, not necessarily unique individuals or commercially active creators.

The denominator is an estimated platform audience, not a verified census of unique residents. Creator density is therefore best understood as a supply-to-estimated-audience ratio. It is not a measure of engagement, audience quality, monetization, influence or campaign effectiveness.

Reading the study. TikTok's European figures imply approximately twice Instagram's creator density. The result describes a difference between two reported ratios—not a validated difference in unique creator participation.

Figure 56 → The European TikTok summary implies approximately twice Instagram's creator density, but the figures are not a validated like-for-like platform comparison. Sources: [1, 4].

Why does TikTok appear to have twice Instagram's creator density?

The difference comes from two features of the regional figures. TikTok has a larger reported eligible creator pool. At the same time, it has a smaller estimated user base. Both affect the density ratio.

TikTok's reported creator pool is approximately 72.5% larger

The TikTok summary contains approximately 21.4 million eligible profiles. Instagram's headline dataset contains approximately 12.41 million. That makes TikTok's reported eligible profile pool approximately 72.5% larger than Instagram's.

This is a comparison of reported profile counts. It is not evidence that TikTok has 72.5% more unique European people creating content.

TikTok's estimated audience is approximately 14.3% smaller

Instagram's estimated European audience is approximately 294.5 million. TikTok's estimated audience is approximately 252.3 million.

That places TikTok's estimated audience about 14.3% below Instagram's. A smaller denominator increases the calculated density when the number of eligible profiles is held constant. In this case, TikTok also has the larger numerator. The combination produces the approximately twofold difference.

Looking only at eligible creator profiles would suggest that TikTok has a substantially larger recorded supply. Looking only at estimated users would suggest that Instagram has the larger platform audience. Creator density brings the two measures together.

But it does not resolve differences in the underlying definitions. If one platform's eligibility filters include more account types, lower activity thresholds or a different geographic footprint, its creator count may not be directly comparable with the other's. The ratio is mathematically clear.

Reading the study. TikTok's higher calculated density reflects both a larger reported creator numerator and a smaller estimated audience denominator. Neither component, on its own, explains whether the platform offers a better creator market.

Figure 57 → TikTok's higher calculated creator density reflects a larger reported eligible profile pool and a smaller estimated audience. Sources: [1, 4].

Does the US comparison support the European pattern?

The US comparison provides a useful contextual check.

According to Influencity's fully reconciled US platform totals, TikTok's creator density is approximately 2.04 times Instagram's. [5, 6]

That is close to the 2.01-times ratio calculated from the European figures.

Why is the similarity noteworthy?

Two different geographic comparisons produce nearly the same relative density.

That makes the European result plausible as a descriptive pattern.

It suggests that the higher TikTok supply-to-audience ratio is not necessarily an isolated feature of the European summary.

But similarity is not validation.

What does the US comparison fail to establish?

It does not establish that the European TikTok figures cover exactly the same countries as the Instagram study.

It does not establish that eligibility filters or account definitions are identical.

It does not confirm that the two European platform datasets use matching observation dates.

And it does not establish that the creator populations are comparable in their activity, commercial availability or audience characteristics.

The US comparison therefore provides supporting context, not a substitute for matched European data.

What would make the European comparison stronger?

A validated comparison would require a European TikTok dataset with:

• The same 30-country footprint as the Instagram dataset.
• Documented, comparable eligibility definitions.
• Aligned observation dates.
• Reconciled country-level and regional totals.
• Transparent treatment of account types and geographic assignment.
• Consistent methods for estimating platform audiences.

With those conditions met, the study could distinguish a robust platform-level difference from one partly driven by data construction.

Reading the study. Research takeaway: The US ratio makes the European estimate more plausible, but the European result remains provisional until the underlying platform datasets are harmonized.

Figure 58 → The European TikTok-to-Instagram creator-density ratio resembles the reconciled US ratio, but the evidence bases differ. Sources: [1, 4, 5, 6].

Why is comparing creator counts across platforms difficult?

Cross-platform comparisons often appear straightforward because both platforms have creators, followers and accounts. But similar-looking metrics are not necessarily equivalent. Several methodological differences can affect the interpretation.

Eligibility definitions may differ

The Instagram and TikTok datasets may use different criteria for deciding which accounts qualify as eligible creator profiles. A broader eligibility definition can produce a larger recorded pool without reflecting a larger number of commercially active creators.

Until those definitions are aligned, a higher creator count should not be interpreted as a definitive participation advantage.

Country coverage may differ

The Instagram study covers 30 specified European markets. The TikTok regional summary does not provide a matched country-level breakdown in the material used for this section.

If the TikTok summary covers a different geographic footprint, its regional totals may not be directly comparable.

Account types may differ

The eligible pools may include different proportions of individual creators, organizations, brands or other account types. The figures do not establish that their composition is identical.

Estimated audience methods may differ

Both denominators are estimated platform audiences. The figures should not automatically be interpreted as verified monthly active users or deduplicated unique residents. If the estimation methods differ, the calculated densities may reflect methodological differences as well as differences in the recorded ecosystems.

The same person can create on both platforms

One individual may operate an Instagram account and a TikTok account. The two creator populations are therefore not mutually exclusive. Adding their eligible profile counts does not produce a count of unique European creators.

Reading the study. Cross-platform creator statistics are only as comparable as their definitions, geography, timing and account-level measurement rules.

Does Europe have 33.8 million Instagram and TikTok creators combined?

No. The figures do not support that conclusion. Adding Instagram's approximately 12.41 million eligible profiles to TikTok's approximately 21.4 million produces a combined figure of roughly 33.8 million platform-specific eligible profile records.

That is not the same as 33.8 million distinct creators. A person may have an eligible account on both platforms. Some creators may operate multiple accounts. Some eligible profiles may represent brands, organizations or other entities rather than individual people.

The two datasets may also use different eligibility and geographic assignment rules. Without a deduplication method, the number of distinct creators represented across the two platforms cannot be established.

Reading the study. Research tip: Never describe the sum of platform-specific creator counts as a unique creator population unless overlap has been measured and removed.

Does higher creator density mean TikTok is more competitive?

Not necessarily. A larger number of eligible creator profiles relative to estimated users may suggest a more crowded recorded supply environment.

Creator density is not creator availability

A profile may qualify for the dataset without being available for brand partnerships. The study does not measure how many eligible profiles are actively seeking collaborations.

Creator density is not content competition

The ratio does not measure posting frequency, content volume, impressions, algorithmic distribution or competition for attention. A platform with more eligible creators per estimated user does not necessarily expose each user to more creator content.

Creator density is not campaign cost

The figures do not include creator fees, media costs, production costs or negotiation outcomes. A higher creator-density ratio does not establish that creators are cheaper or more expensive.

Creator density is not return on investment

The comparison does not measure engagement, conversions, sales, brand lift or campaign ROI. Those outcomes depend on campaign objectives, creator selection, audience fit, creative execution and other factors.

Reading the study. A higher supply-to-audience ratio may change the questions a marketer asks about a platform. It does not answer those questions by itself.

What do category studies tell us about Instagram versus TikTok performance?

The European density comparison cannot establish which platform performs better. However, a separate Influencity supplements study covering the United States and Mexico provides examples of platform differences within a specific category. [7]

In that sample:

• Positive sentiment: Instagram recorded 68%, compared with 58% on TikTok.
• Explicit disclosure: Instagram recorded 78%, compared with 66% on TikTok.

These findings concern the study's supplements sample, not the European creator populations analyzed here.

They also measure sentiment and disclosure, not creator density.

What does the sentiment comparison suggest?

Within the US and Mexico supplements sample, Instagram had a higher reported share of positive sentiment. That is a category-specific observation. It does not establish that Instagram produces more positive sentiment across Europe or across all industries.

What does the disclosure comparison suggest?

The supplements study recorded a higher share of explicit disclosure on Instagram. That may be relevant to questions about branded-content practices in the category.

But the figures do not establish that disclosure behavior is universally better on Instagram or that European campaigns follow the same pattern.

Why these findings should remain separate from the density comparison

Creator density describes the scale of recorded eligible supply relative to estimated users. Sentiment describes the tone of analyzed content. Disclosure describes whether the study identified explicit partnership disclosure.

These are different measures. A platform can have higher creator density and lower positive sentiment in a particular category without one causing the other.

Reading the study. Category studies can inform hypotheses for platform testing, but they should not be used to convert Europe's creator-density comparison into a performance ranking.

Figure 59 → In Influencity's US and Mexico supplements sample, Instagram recorded higher positive sentiment and explicit disclosure than TikTok. These findings are not European benchmarks. Source: [7].

What should brands consider when choosing Instagram or TikTok in Europe?

The data does not justify choosing one platform solely because it has more eligible creators or a higher creator-density ratio. Instead, platform selection should begin with the campaign objective and the audience the brand needs to reach.

Start with audience relevance

The regional estimates suggest that Instagram has a larger estimated audience than TikTok in the regional comparison.

But regional audience size does not establish which platform offers better access to a specific demographic, country or consumer segment. That requires audience-level evidence.

Evaluate creator supply at the relevant level

A platform may have a large eligible creator pool without having a large number of creators suitable for a particular brief. Brands should compare creators by country, category, follower tier, audience geography, content style and availability.

The regional headline count is only the starting point.

Consider the creative format

Instagram and TikTok have different content environments and publishing conventions. A campaign should be designed for the formats and audience expectations of the selected platform. The study's density figures do not measure creative effectiveness.

Assess commercial feasibility

Creator fees, usage rights, production requirements, timelines and deliverables can differ between creators and campaigns. None of these variables is captured by creator density.

Measure outcomes rather than assuming them

Where both platforms are viable, brands can test comparable creator briefs and evaluate results against the same objective. Depending on the campaign, relevant measures may include qualified reach, engagement, traffic, conversions, cost per result or brand lift.

Reading the study. Planning tip: Use the cross-platform density figures to frame discovery questions. Use audience, creator and campaign evidence to make the final platform decision.

A practical framework for comparing Instagram and TikTok creator ecosystems

Four principles for responsible platform comparison

1. Compare like with like. Align geographic coverage, eligibility rules, dates and measurement methods wherever possible.

2. Keep profiles separate from people. Platform-specific eligible account counts are not deduplicated creator counts.

3. Distinguish supply from performance. More eligible creators do not automatically mean better campaign outcomes.

4. Use regional statistics as context. Platform decisions should ultimately be based on the creators and audiences relevant to the campaign.

Five findings about Instagram and TikTok creator density in Europe

1. TikTok reports a larger eligible creator pool

The TikTok summary contains approximately 21.4 million eligible TikTok profiles, compared with 12.41 million on Instagram.

2. Instagram has the larger estimated audience

The estimates are 294.5 million users for Instagram and 252.3 million for TikTok.

3. TikTok's calculated creator density is approximately twice Instagram's

These inputs imply densities of approximately 8.48% and 4.21%, respectively.

4. The US comparison shows a similar ratio

The reconciled US totals produce a TikTok-to-Instagram density ratio of approximately 2.04, close to Europe's provisional 2.01.

5. The European comparison is not yet fully validated

A matched European TikTok dataset is needed to establish a robust like-for-like platform comparison.

Figure 60 → The data suggests higher TikTok creator density in Europe, but platform comparability remains a methodological limitation. Sources: [1, 4, 5, 6].

Creator density is a useful comparison, not a platform verdict

The European data suggests that TikTok has a larger eligible creator pool than Instagram despite having a smaller estimated audience.

That combination produces a calculated creator density approximately twice Instagram's. The similarity with the reconciled US comparison makes the European pattern plausible. But plausibility is not methodological equivalence.

The European TikTok figures have not been validated against a matched country-level dataset, and differences in eligibility rules, geographic coverage, account types and observation dates may affect the comparison. The figures also do not identify unique creators across platforms or measure commercial performance.

The central finding is that TikTok appears to have more recorded creator supply relative to its estimated audience, not that it offers twice the influencer marketing opportunity. For researchers, the priority is harmonizing the underlying datasets. For brands and agencies, the priority is evaluating creators and audiences at the level where campaigns actually operate.

A higher creator-density ratio may be an interesting characteristic of a platform ecosystem. It is not a substitute for evidence about relevance, reach, cost or results.

Campaign planning takeaway. Use regional creator-density comparisons as context for platform discovery, not as a platform-selection score. Validate creator availability, audience geography, content relevance and commercial performance before allocating budget between Instagram and TikTok.

How has Europe's Instagram creator landscape changed since 2020? Influencity's successive European studies report more eligible creator profiles and larger estimated Instagram audiences in each edition. The 2020 study recorded approximately 8.6 million influencers and 213 million Instagram users. The edition published in 2023, using 2022 observations, reported 10,526,558 influencers and 252.1 million users. The 2026 study records 12,407,130 eligible profiles and approximately 294.5 million estimated users. [1–3]

At first glance, this looks like a story of substantial growth. The reported creator count is approximately 44.3% higher than the rounded 2020 baseline, while the 2026 count exceeds the 2022 observation by 1,880,572 profiles, or 17.9%.

But the creator-density figures tell a more restrained story. Across the three editions, the recalculated ratio of eligible profiles to estimated Instagram users remains close to 4%:

• 2020: approximately 4.04%.
• 2022: approximately 4.18%.
• 2026: approximately 4.21%.

The studies document higher reported profile counts and larger estimated audiences. They do not establish that the underlying European influencer industry grew by exactly those percentages. The editions are separate observations, produced under definitions and data conditions that have not been fully harmonized.

The central finding is therefore not simply that Europe has more recorded Instagram creators than it did in 2020. It is that reported creator supply and estimated platform audience have increased in broadly similar proportions, leaving calculated creator density relatively stable.

How many Instagram influencers were reported in Europe in 2020, 2022 and 2026?

Influencity's European studies provide three historical reference points.

What changed between the editions?

The most immediately visible difference is the number of reported eligible profiles. The 2020 study reported approximately 8.6 million. The 2023 edition, describing 2022 data, reported just over 10.5 million. The 2026 study reports approximately 12.4 million.

The estimated Instagram audience also increases across the editions, from 213 million to 252.1 million and then to approximately 294.5 million. These are meaningful differences between published snapshots. But a difference between snapshots is not automatically a measured change in the same underlying population.

Why distinguish the observation year from the publication year?

The 2023 edition describes data observed in 2022. Referring to its figures simply as “2023 data” would misstate the timeline. For consistency, the historical analysis should use 2022 when describing the observation and the 2023 edition when identifying the publication.

This distinction also matters for charts. Placing the middle observation at 2023 would imply a different interval between data points.

Reading the study. The historical series contains three reference points—2020, 2022 and 2026—not three fully comparable annual measurements.

Figure 61 → Reported European Instagram creator counts are higher in successive Influencity study editions, but methodological differences prevent interpretation as a validated longitudinal growth series. Sources: [1–3].

How much higher is the reported creator count in 2026?

The 2026 study reports 12,407,130 eligible profiles, compared with 10,526,558 in the 2022 observation. The difference is 1,880,572 profiles. Expressed relative to the earlier count, that is an increase of approximately 17.9%.

Against the rounded 2020 baseline of 8.6 million, the 2026 count is approximately 44.3% higher.

Historical differences in reported creator counts

Why not call this a 44.3% increase in the influencer industry?

Because the studies do not establish that they measured the same population using identical methods. A larger reported count can reflect changes in the underlying platform ecosystem.

It can also reflect changes in the way the dataset identifies, includes or classifies profiles. Without harmonized definitions and coverage, the observed difference cannot be cleanly divided between those explanations.

What can we say with confidence?

The published 2026 count is substantially higher than the figures reported in earlier editions. That is a factual comparison. What remains uncertain is how much of the difference represents an increase in the underlying population of eligible creators under a constant definition.

Did Instagram's estimated European audience increase alongside creator counts?

Yes. The reported estimated audience also rises across the three observations. The 2020 study reported approximately 213 million Instagram users. The 2022 observation reported 252.1 million. The 2026 study reports approximately 294.5 million.

Historical differences in estimated audience

The audience estimates follow a broadly similar direction to the creator counts.

Between the 2022 observation and 2026, the reported eligible creator count is 17.9% higher, while the estimated Instagram audience is approximately 16.8% higher.

Those two percentages are close. That similarity helps explain why calculated creator density changes so little between the editions.

Why the audience denominator matters

A rise in creator profiles is easier to interpret when considered alongside the size of the platform's estimated audience.

If creator counts increase while estimated audience remains constant, creator density rises. If creator counts and estimated audience increase in similar proportions, creator density remains relatively stable. The latter is what the published European figures suggest.

However, the estimated audience figures are not necessarily harmonized counts of unique European Instagram users. The comparison remains conditional on the methods used in each edition.

Reading the study. The reported expansion in creator profiles is accompanied by a broadly similar increase in estimated Instagram audience. This makes the historical density pattern more informative than creator counts alone.

Figure 62 → Reported eligible creator counts and estimated Instagram audiences are higher in successive European study editions. Sources: [1–3].

Why has Europe's calculated Instagram creator density remained close to 4%?

Creator density is calculated by dividing the number of reported eligible profiles by the estimated platform audience. Using that formula across the published historical figures produces:

The figures are remarkably close. Between 2022 and 2026, the calculated density changes from approximately 4.18% to 4.21%. That is a difference of only about 0.04 percentage points. Between 2020 and 2026, the change is approximately 0.18 percentage points.

What does stable creator density suggest?

Conditionally, it suggests that the number of recorded eligible creator profiles has remained broadly proportional to the estimated Instagram audience across the three editions.

The creator pool becomes larger in absolute terms, but not dramatically larger relative to the reported user base. That is a different narrative from one in which creator supply is rapidly outpacing platform audience size.

Does stable density prove that the creator economy has matured?

No. The study does not measure market maturity directly. It does not establish whether creators are earning more, whether brands are investing more, whether creator activity is increasing or whether competition is intensifying. Nor does it establish that the density ratio was measured using perfectly consistent definitions over time.

A relatively stable calculated ratio is compatible with several possible industry conditions. It should not be used as proof of any one of them.

Does stable density mean the same creators are still active?

No. The historical editions do not track a fixed group of accounts. A stable aggregate ratio could coexist with substantial changes in the identities, activities and follower counts of individual profiles. The data cannot reveal creator entry, exit or retention.

Reading the study. The historical figures suggest relative stability in the reported supply-to-audience ratio, not necessarily stability in the creator population itself.

Figure 63 → Recalculated European Instagram creator density remains close to 4% across the 2020, 2022 and 2026 observations, although the underlying editions are not fully harmonized. Sources: [1–3].

Why can't the historical figures be treated as a continuous growth series?

The principal limitation is comparability. The historical studies were produced as separate snapshots rather than as a single longitudinal panel following the same accounts.

Eligibility criteria may differ

The 2023 publication, using 2022 observations, specified public profiles belonging to people over 18 with more than 1,000 followers. [3] The 2020 edition used five follower bands. [2] The current 2026 study reports eligible profiles using its own documented criteria and four follower tiers.

These differences matter because the definition of an eligible profile determines which accounts enter the count. A change in the threshold, account-type rules or treatment of public and private profiles could alter the reported population even without an equivalent change in the underlying platform.

Database coverage may change

A later study may identify accounts that an earlier study did not capture. Improved coverage can increase a reported count without demonstrating that every additional account is newly created.

Conversely, changes in coverage could exclude accounts previously counted. The historical material does not quantify those effects.

Classification methods may change

Accounts may be classified differently across editions. That can affect eligibility, follower-tier assignment and geographic reporting. The study does not provide a complete harmonization analysis of those classifications.

Country coverage must be verified

A valid European growth comparison requires consistent geographic coverage. If the set of included countries changes, regional totals can change for reasons unrelated to within-country creator growth.

The current study covers 30 markets. The historical totals should not be assumed to cover an identical footprint without confirming their country lists.

The observations do not track individual accounts

A longitudinal panel would follow the same defined entities over time. These studies instead provide separate aggregate observations. As a result, they cannot establish:

• How many creators entered the eligible population.
• How many left it.
• How many accounts became private or inactive.
• How many moved between follower tiers.
• How many were newly identified through improved coverage.

Those are different questions from the total number of profiles reported in each edition.

Reading the study. The historical series is valuable for contextual comparison, but it does not support precise claims about creator entry, exit, retention or industry growth under a constant methodology.

What might explain the higher reported creator counts?

Several mechanisms could contribute to differences between study editions. The available historical comparison does not quantify their relative importance.

Changes in the underlying creator ecosystem

More accounts may have reached the study's eligibility thresholds. Existing accounts may have gained followers, and new accounts may have entered the platform. These are plausible sources of change, but the aggregate snapshots do not measure them directly.

Changes in account visibility

Profiles may become public or private over time. Because eligibility can depend on account visibility, those changes may affect recorded totals. The studies do not provide comparable transition counts.

Changes in definitions

Different eligibility rules can include or exclude different groups of accounts. Even a small definitional change can matter when applied to a population measured in millions.

Changes in geographic assignment

The way profiles are associated with European markets may also affect regional counts. Without a consistent assignment method, the historical totals cannot be treated as fully equivalent.

Reading the study. A reported increase can contain both real-world change and measurement change. The published snapshots do not provide enough information to separate them.

What does the historical pattern mean for an Instagram influencer marketing strategy?

The historical data is useful for understanding the scale of the recorded European Instagram scene. It is less useful for predicting future creator supply or campaign performance.

A larger recorded pool does not guarantee easier recruitment

The 2026 study reports more eligible profiles than earlier editions. But it does not establish that more creators are available for partnerships, responsive to outreach or commercially suitable.

Recruitment capacity depends on the qualified creator population, not simply the headline count.

Stable density does not mean stable competition

A supply-to-audience ratio cannot establish how intensely creators compete for attention. Competition depends on factors such as content volume, audience behavior and platform distribution, none of which is measured by the historical density series.

Historical totals do not determine current campaign economics

The historical comparison contains no consistent time series of creator fees, conversion rates, engagement or ROI. It cannot establish whether influencer marketing has become more or less expensive or effective since 2020.

Current tier and country data is more actionable for planning

For practical campaign decisions, the 2026 country-level and follower-tier findings are more directly useful than the unharmonized historical totals.

Brands can use the current study to compare eligible supply across markets and follower tiers. They should then qualify individual creators using audience, content and commercial evidence.

Reading the study. Use the historical figures to explain the evolution of Influencity's reported datasets. Use the current, internally consistent study to make creator-discovery decisions.

How does Europe's historical pattern compare with the United States?

The US series provides a further point of context. As section 13 shows, Influencity's US historical observations show a different pattern over the same observation years. [5] That contrast matters because it cautions against assuming that all Instagram creator ecosystems evolve in the same way.

However, the European and US historical series should not be treated as directly comparable growth trajectories unless their eligibility rules, geographic definitions and observation methods are aligned.

What can the comparison establish?

It can show that the published regional snapshots differ in their reported counts and calculated density patterns. It cannot, without harmonization, establish that one market's creator industry grew faster or matured earlier than the other.

Brands operating across Europe and the United States should avoid extrapolating creator-market trends from one region to another. Current creator availability, follower-tier composition and audience characteristics are more relevant to campaign planning than a presumed shared historical trajectory.

Reading the study. Different regional histories reinforce the need for local market evidence. A global creator strategy should not assume that platform supply evolves uniformly across geographies.

Five key findings from Europe's Instagram historical data

1. The reported creator count is substantially higher than in 2020

The 2026 study reports 12.41 million eligible profiles, compared with approximately 8.6 million in the 2020 edition.

2. The 2026 count exceeds the 2022 observation by 1.88 million profiles

That represents a 17.9% difference between the published totals.

3. Estimated Instagram audiences also rise across editions

The reported audience increases from 213 million in 2020 to approximately 294.5 million in 2026.

4. Calculated creator density remains close to 4%

The historical ratios are approximately 4.04%, 4.18% and 4.21%.

5. The figures do not establish a validated industry growth rate

Differences in definitions, data coverage and observation methods prevent the snapshots from being interpreted as a harmonized longitudinal series.

Figure 64 → Influencity's historical European Instagram editions report higher profile counts and estimated audiences while calculated creator density remains close to 4%. Sources: [1–3].

More recorded creators, almost unchanged density

Influencity's European Instagram studies tell a consistent descriptive story. The published creator counts are higher in successive editions. The estimated Instagram audiences are also higher.

Yet the ratio between those two measures remains remarkably close to 4%. The 2026 study reports approximately 12.4 million eligible profiles, compared with 10.5 million in the 2022 observation and about 8.6 million in 2020.

But the calculated creator density moves only from approximately 4.04% to 4.21% across those reference points. This is not evidence that Europe's influencer industry has grown by a precisely measurable percentage.

Nor is it proof that the market has reached maturity or that competition has stabilized. The historical editions do not provide the harmonized methodology needed for those conclusions.

What they do show is that Influencity's reported European Instagram creator pool has become larger alongside its estimated audience, without a comparable increase in the creator-to-audience ratio.

For researchers, the next step is methodological harmonization. For brands and agencies, the lesson is to distinguish historical scale from current market opportunity. A larger recorded creator population does not automatically mean more qualified creators, lower recruitment costs or better campaign outcomes.

The most useful evidence remains the current supply available in the countries, follower tiers and audience segments relevant to a campaign.

Campaign planning takeaway. Use the historical editions to understand how reported European Instagram figures have changed. Avoid treating differences between snapshots as verified growth rates. For campaign planning, prioritize current country-level creator supply, audience relevance and commercial suitability.

Does Europe have more Instagram influencers than the United States?

Yes, in absolute terms. Influencity's 2026 datasets record 12.41 million eligible Instagram profiles across 30 European markets, compared with 8.94 million across the 50 US states. Europe's reported creator pool is approximately 38.7% larger. [1, 5] But the relationship reverses when creator supply is measured relative to population or estimated Instagram audience.

The United States has a creator density of 4.64%, compared with 4.21% in Europe. It also records 26.2 eligible profiles per 1,000 residents, against 18.5 in Europe.

Europe has more eligible creators overall because it covers a much larger population. The US, however, has a higher concentration of eligible profiles relative to both its population and estimated Instagram audience.

That distinction changes the interpretation of the two markets. A larger creator pool does not necessarily mean a denser creator ecosystem. And a denser ecosystem does not necessarily offer more commercially suitable creators for a particular campaign.

The two regions also differ in ways that go beyond scale: creator supply is more geographically concentrated in Europe, density varies more widely across US states, and the datasets have markedly different gender-classification coverage.

Reading the study. The central finding is that Europe offers greater absolute creator supply, while the US records higher relative creator concentration. Neither measure, by itself, establishes better influencer marketing performance.

How many Instagram influencers are there in Europe compared with the US?

The 2026 European and US datasets use the same field structure and metric definitions, making this a closer methodological comparison than the historical or cross-platform comparisons elsewhere in the study.

However, the datasets remain separate descriptive snapshots. The European dataset covers 30 markets, while the US dataset covers 50 states. Their estimated user figures come from different sources, and both datasets have required corrections and reconciliation.

Europe versus the US: the 2026 Instagram creator landscape

Three contrasts define the regional comparison. First, Europe has substantially more eligible profiles in absolute terms. Second, the US has higher creator density and more eligible profiles per resident. Third, Europe's creator supply is more concentrated in its six largest markets, while US state-level creator density varies across a wider range.

These findings describe different dimensions of the industry. They should not be collapsed into a single judgment about which region has the stronger influencer market.

Reading the study. Europe's advantage is absolute scale. The US advantage is relative concentration. Their different geographic structures make market-level analysis essential.

Figure 65 → Europe has more eligible Instagram profiles overall, while the US records higher creator density, estimated audience penetration, and profiles per resident. Gender classification also differs between the datasets. Sources: [1, 5].

Why does Europe have more Instagram influencers but lower creator density?

The apparent contradiction disappears when population and estimated platform audience are taken into account. Europe's 30 markets contain approximately 670.2 million residents, compared with 341.1 million across the US states. That means the European study population is approximately 1.96 times the US population. But Europe's eligible creator pool is only approximately 1.39 times the US pool.

Absolute scale and relative concentration are different

Europe records approximately 12.41 million eligible profiles. The US records approximately 8.94 million. That is a substantial absolute difference. Yet Europe also has almost twice the population. As a result, its eligible profiles are distributed across a much larger population reference.

This produces:

• Europe: 18.5 eligible profiles per 1,000 residents.
• United States: 26.2 eligible profiles per 1,000 residents.

The US figure is approximately 42% higher.

Estimated Instagram audience explains much of the difference

The estimated Instagram audience represents approximately 43.9% of Europe's population reference. In the US, the corresponding ratio is 56.5%.

That difference matters because profiles per resident reflects both estimated platform audience penetration and creator density. The relationship can be expressed as:

Eligible profiles / population = (eligible profiles / estimated users) × (estimated users / population)

Europe has a lower value on both components. Its estimated Instagram audience represents a smaller proportion of the population, and its eligible creator pool is slightly smaller relative to that audience.

The audience-to-population difference accounts for most of the gap in eligible profiles per resident.

Why the creator-density gap is much smaller

When the comparison uses estimated Instagram users rather than the total population, the regional difference narrows considerably. Europe's creator density is 4.21%. The US creator density is 4.64%. That is a difference of 0.43 percentage points.

In relative terms, the US density is approximately 10% higher. This is a much narrower gap than the difference in eligible profiles per resident.

Reading the study. Europe's larger population produces a larger absolute creator pool, but the US has a higher estimated Instagram audience-to-population ratio. Once creator supply is measured against estimated platform users, the difference between the regions becomes much smaller.

Figure 66 → Europe's larger population supports a larger absolute creator pool, but the US records more eligible Instagram profiles relative to both estimated users and residents. Sources: [1, 5].

Which region has more concentrated Instagram creator supply?

Europe's eligible creator population is more concentrated in its largest markets. The six largest European creator markets account for 76.7% of the regional pool. In the US, the six largest states account for 57.9%. That is a difference of 18.8 percentage points.

Europe's largest markets dominate its total supply

Russia alone accounts for approximately 23.2% of the eligible profiles in the European study. The United Kingdom, Italy, Spain, Germany and France make up the remainder of the six largest creator markets. Together, these six countries account for more than three-quarters of all eligible profiles across the 30-market study.

The US is less concentrated in its six largest states

California is the largest US market, accounting for approximately 20.2% of eligible profiles. However, the six largest US states collectively account for a smaller share of the national pool than Europe's six largest markets do.

This indicates a less concentrated distribution of total eligible supply across the US geographic units.

Keep in mind that a European country is not equivalent to a US state. The two systems differ in population distribution, geographic boundaries, economic structure and the number of units being compared. Europe's dataset contains 30 national markets. The US dataset contains 50 states.

A top-six concentration comparison therefore describes the distribution within each study, not a perfectly equivalent measure of geographic concentration.

Reading the study. Europe has a more concentrated recorded creator pool across its study markets. That concentration may simplify initial discovery in large countries, but it does not eliminate the need for country-specific recruitment.

Figure 67 → Europe's six largest creator markets account for a greater share of regional eligible profiles than the six largest US states. Sources: [1, 5].

Why does creator density vary more across US states than European countries?

The range of creator density is much wider across US states. In the United States, density runs from 1.58% in South Dakota to 9.80% in New York. Across the 30 European markets, it runs from 2.69% in Luxembourg to 5.57% in Cyprus.

The US range is approximately 6.2-fold

New York's creator density is approximately 6.2 times South Dakota's. The difference between the highest and lowest US values is 8.22 percentage points.

Europe's range is approximately 2.1-fold

Cyprus's creator density is approximately 2.1 times Luxembourg's. The difference between the highest and lowest European values is 2.88 percentage points.

The regional benchmarks tell another story

Europe's weighted creator-density benchmark is 4.21%. The US benchmark is 4.64%. Only nine markets in each dataset exceed their own regional benchmark:

• Europe: 9 of 30 markets, or 30%.
• US: 9 of 50 states, or 18%.

This does not mean the remaining markets lack meaningful creator supply. It means their creator-density ratios fall below the weighted regional figure. A weighted regional benchmark is not the same as the median geographic unit.

Why is the US range so much wider?

The data establishes a wider range. It does not establish a single cause. Several factors may be relevant, including the concentration of media and creative industries, local creator communities, geographic assignment practices and the construction of estimated platform audiences.

The study does not isolate their effects. The comparison is also influenced by the geographic units themselves. US states and European countries are not equivalent units of analysis.

What does the wider range mean for marketers?

National US averages may conceal substantial state-level differences. Similarly, European regional averages can obscure differences between individual countries, even though the observed density range is narrower.

For campaigns targeting specific geographies, market-level figures are more useful than a regional average.

Reading the study. The US has higher overall creator density, but it also has much greater variation across states. Europe has a lower weighted benchmark and a narrower observed range across its 30 markets.

Figure 68 → Creator density varies much more widely across US states than across the 30 European markets. Sources: [1, 5].

Are Instagram influencer gender distributions similar in Europe and the US?

At the broad regional level, yes. Among profiles classified as female or male, the female share is almost identical:

• Europe: 59.8% female.
• United States: 60.2% female.

The difference is less than half a percentage point. However, that similarity conceals an important methodological difference.

Europe has a much larger unclassified group

In Europe, 31.6% of eligible profiles have no female or male classification. In the US, the corresponding share is 21.5%.

That is a difference of 10.0 percentage points. As a result, the female/male-classified subset covers a smaller proportion of Europe's eligible creator pool. The 59.8% European female share is calculated among profiles classified as female or male. It is not the share of all eligible European profiles classified as female.

Across the full European eligible pool, approximately 40.9% of profiles are female-classified. The distinction is essential because nearly one-third of European profiles are unclassified.

The same denominator principle applies to the US comparison. A similar female share among classified profiles does not mean the two datasets have identical gender coverage.

The classified subsets have similar female/male proportions. But the European dataset has substantially less classification coverage. Brands should not use either regional female share as a proxy for the gender composition of creators' audiences. Audience targeting requires follower-level demographic evidence.

Reading the study. Always report the female share among classified profiles alongside the unclassified share of the full eligible pool. Otherwise, the apparent similarity between regions can conceal important differences in data coverage.

Figure 69 → Europe and the US have similar female shares among classified Instagram creators, but Europe's unclassified share is substantially higher. Sources: [1, 5].

How does the gender split change among mega Instagram creators?

The regional similarity becomes less pronounced at the top of the follower ladder. Among female/male-classified mega-tier entries:

• Europe: 44.5% female, 55.5% male.
• United States: 50.1% female, 49.9% male.

Europe's classified mega tier therefore has a male majority. The US classified mega tier is close to parity. It shows that similar overall gender distributions do not guarantee similar distributions within follower tiers. Across all classified eligible profiles, Europe and the US have nearly identical female shares.

Among classified mega creators, their distributions differ by 5.6 percentage points. This is relevant to understanding the composition of the largest recorded accounts.

It does not establish that male creators are more commercially successful in Europe. It does not establish differences in earnings, campaign demand or performance. Nor does it identify the gender composition of mega creators' audiences. The figures describe classification patterns within a small follower tier.

Europe's mega tier contains 8,219 reported entries, including 1,856 unclassified entries. The female/male percentages are calculated only among the 6,363 classified mega entries. They should not be presented as percentages of all mega accounts. The same denominator discipline should be applied to the US figures.

Reading the study. Europe and the US look almost identical on the overall classified gender split, but their largest creator tiers differ. Aggregate similarity can conceal meaningful differences in follower-tier composition.

Figure 70 → Europe's classified mega-tier population has a male majority, while the US classified mega tier is close to parity. Sources: [1, 5].

Do Europe and the US have similar follower-tier distributions?

At the broadest level, both creator ecosystems are dominated by smaller profiles.

Europe's nano tier accounts for 87.3% of reported follower-tier entries. The US nano share is approximately 89% of headline eligible profiles, using the study's residual calculation. Both figures indicate that the overwhelming majority of recorded eligible accounts belong to the smallest follower tier.

But the two percentages are not calculated from exactly the same denominator.

Why the tier comparison is not perfectly equivalent

Europe's nano share is calculated using the sum of its reported follower-tier entries. That total is 12,391,068, approximately 0.13% below the European headline eligible count.

The US nano share uses the headline eligible-profile total, with nano derived as the residual after accounting for larger tiers. These differences should be disclosed when placing the percentages side by side.

What does the similarity suggest?

Both regions have broad populations of smaller eligible profiles. Neither is primarily composed of macro or mega creators. This supports the importance of nano and micro discovery in both markets.

But it does not establish that smaller creators perform better or that their commercial availability is comparable.

Follower-tier counts matter more than the headline percentages

A campaign recruiting creators above 100,000 followers needs the relevant macro and mega counts. A campaign recruiting smaller local creators needs qualified nano and micro supply.

The broad regional nano share provides context, but the actual recruitment pool depends on country, state, category and audience requirements.

Reading the study. Planning tip: Compare tier counts using consistent definitions and denominators. Avoid assuming that similar nano shares imply identical recruitment conditions.

Does TikTok have twice Instagram's creator density in both regions?

The figures suggest a similar cross-platform pattern in Europe and the United States. In Europe, the regional TikTok summary implies a creator-density ratio of approximately 2.01 times Instagram's. In the US, the reconciled TikTok and Instagram datasets produce a ratio of approximately 2.04 times.

The ratios are remarkably close. Both suggest that TikTok has more reported eligible creator profiles relative to its estimated audience than Instagram. However, the European TikTok comparison is not a validated matched-country analysis.

The US comparison is supported by reconciled national datasets. Those are different evidence bases.

What does the similarity establish?

It provides a plausible cross-regional pattern worth investigating. It does not prove that TikTok has twice as many unique creators, that its creators are more commercially active, or that it delivers better campaign results.

Nor does it establish identical platform behavior across Europe and the US.

Have European and US Instagram creator counts changed differently since 2020?

The historical editions report different trajectories. Europe's published eligible creator count is higher in the 2026 edition than in both the 2020 and 2022 observations. The US series rises between 2020 and 2022, then reports a lower count in 2026.

Reported historical creator counts

What do the reported differences show?

From the 2022 observation to 2026:

• Europe's reported count is 17.9% higher.
• The US reported count is 12.3% lower.

Relative to the 2020 editions:

• Europe's reported count is approximately 44.3% higher.
• The US reported count is approximately 8.0% higher.

These are differences between published snapshots. They are not validated creator-industry growth or decline rates.

Why should the historical contrast be treated cautiously?

The earlier editions may differ in eligibility criteria, geographic coverage, account classification and database completeness. The studies do not follow a fixed panel of creators over time.

Therefore, the apparent divergence between Europe and the US cannot be attributed confidently to differences in creator participation, platform adoption or market maturity. The data does not establish why the historical counts moved differently.

The published European and US series show different changes in reported creator counts. That is an important descriptive finding.

But determining whether the underlying creator populations genuinely evolved in different directions requires harmonized longitudinal data.

Reading the study. The historical snapshots diverge, while the current 2026 datasets show broadly comparable Instagram creator-density ratios. Those findings can coexist because historical change and current structure are different questions.

Figure 71 → Published European and US Instagram creator counts differ in their historical patterns, but methodological breaks prevent direct interpretation as verified growth or decline. Sources: [1–3, 5].

What do the regional differences mean for transatlantic Instagram influencer marketing?

The comparison has practical implications for brands operating in both Europe and the United States. But those implications should be applied at the market and creator level rather than through regional averages alone.

1. Plan discovery by market, not by continent

Europe's 30 markets contain a larger eligible creator pool, but most of that supply is concentrated in six countries.

The US has a smaller total pool but a wider range of state-level creator densities. Neither regional average tells a brand how many suitable creators are available for a specific brief.

2. Treat language and regulation as core planning variables

European campaigns may cross multiple national languages, regulatory systems and cultural contexts. A creator's location does not guarantee that their audience is concentrated in the same country. Transatlantic campaigns require audience geography and local market suitability to be checked directly.

3. Compare follower tiers, not just headline counts

Both regions are dominated by nano creators. But the composition of established and mega-tier populations differs. A campaign requiring large creators should use tier-specific counts and audience qualification rather than total eligible supply.

4. Keep gender classification coverage visible

Europe has a substantially higher unclassified share than the US. Comparisons of female and male creator shares should therefore show the classified denominator and the proportion of the total pool that remains unclassified.

5. Avoid turning density into a performance ranking

The US has higher Instagram creator density. That does not establish that US creators are more engaged, more professional, more affordable or more effective.

Likewise, Europe's larger absolute pool does not establish superior recruitment opportunities.

6. Use current data for current decisions

Historical editions provide context, but their figures are not fully harmonized. Campaign planning should prioritize the current eligible supply, relevant audience data and actual creator availability.

A transatlantic planning framework