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Consumer AI adoption in Europe - 2025 report

AI adoption in Europe
Cybernews Team
Mar 23, 2026 6 min read
Key takeaways:

Europe’s AI adoption rankings:

Europe rankGlobal rankCountry2023 Downloads2024 Downloads2025 Downloads2023 Adoption2024 Adoption2025 AdoptionYoY Change
#1#4Latvia275.4K558.5K1.0M15%30%55%+83%
#2#5Portugal1.0M2.9M5.9M10%27%55%+104%
#3#6United Kingdom9.4M19.9M37.9M14%29%55%+90%
#4#7Lithuania476.5K1.0M1.5M17%35%52%+49%
#5#8Estonia176.1K406.4K691.4K13%30%51%+70%
#6#12Ireland698.8K1.7M2.6M13%32%48%+50%
#7#14France6.6M15.4M32.1M10%23%47%+104%
#8#15Netherlands2.3M5.3M8.5M13%29%47%+62%
#9#19Sweden1.7M3.0M4.9M16%29%46%+59%
#10#21Spain3.9M12.2M22.0M8%25%45%+80%
#11#22Croatia318.0K862.1K1.7M8%22%44%+100%
#12#23Finland679.8K1.4M2.5M12%25%44%+76%
#13#24Germany9.4M23.8M36.6M11%28%44%+57%
#14#30Slovenia231.7K451.9K859.4K11%21%40%+90%
#15#31Austria904.8K2.2M3.6M10%24%39%+63%
#16#33Belgium1.3M3.3M4.5M11%28%38%+36%
#17#34Denmark838.4K1.4M2.3M14%23%38%+65%
#18#37Slovakia291.9K972.5K2.0M5%18%38%+111%
#19#39Romania1.3M3.0M7.1M7%16%37%+131%
#20#40Greece594.7K2.0M3.7M6%19%36%+89%
#21#41Hungary618.7K1.7M3.4M6%18%36%+100%
#22#42Switzerland1.1M2.3M3.3M12%25%36%+44%
#23#44Czechia811.3K2.3M3.8M7%21%35%+67%
#24#45Italy4.8M13.2M20.8M8%22%35%+59%
#25#50Bulgaria348.8K969.9K2.0M5%15%31%+107%
#26#52Ukraine2.3M5.4M10.6M6%14%27%+93%
#27#59Belarus232.4K602.9K1.1M3%7%12%+71%
#28#63Poland847.7K1.5M2.5M2%4%7%+75%

Top 10 European countries by AI adoption

  1. Latvia (global rank #4) — 55% adoption in 2025 (30% in 2024, 15% in 2023). YoY growth: +83%. Downloads: 1.0M in 2025, 558.5K in 2024, 275.4K in 2023.
  2. Portugal (global rank #5) — 55% adoption in 2025 (27% in 2024, 10% in 2023). YoY growth: +104%. Downloads: 5.9M in 2025, 2.9M in 2024, 1.0M in 2023.
  3. United Kingdom (global rank #6) — 55% adoption in 2025 (29% in 2024, 14% in 2023). YoY growth: +90%. Downloads: 37.9M in 2025, 19.9M in 2024, 9.4M in 2023.
  4. Lithuania (global rank #7) — 52% adoption in 2025 (35% in 2024, 17% in 2023). YoY growth: +49%. Downloads: 1.5M in 2025, 1.0M in 2024, 476.5K in 2023.
  5. Estonia (global rank #8) — 51% adoption in 2025 (30% in 2024, 13% in 2023). YoY growth: +70%. Downloads: 691.4K in 2025, 406.4K in 2024, 176.1K in 2023.
  6. Ireland (global rank #12) — 48% adoption in 2025 (32% in 2024, 13% in 2023). YoY growth: +50%. Downloads: 2.6M in 2025, 1.7M in 2024, 698.8K in 2023.
  7. France (global rank #14) — 47% adoption in 2025 (23% in 2024, 10% in 2023). YoY growth: +104%. Downloads: 32.1M in 2025, 15.4M in 2024, 6.6M in 2023.
  8. Netherlands (global rank #15) — 47% adoption in 2025 (29% in 2024, 13% in 2023). YoY growth: +62%. Downloads: 8.5M in 2025, 5.3M in 2024, 2.3M in 2023.
  9. Sweden (global rank #19) — 46% adoption in 2025 (29% in 2024, 16% in 2023). YoY growth: +59%. Downloads: 4.9M in 2025, 3.0M in 2024, 1.7M in 2023.
  10. Spain (global rank #21) — 45% adoption in 2025 (25% in 2024, 8% in 2023). YoY growth: +80%. Downloads: 22.0M in 2025, 12.2M in 2024, 3.9M in 2023.

Bottom 10 European countries by AI adoption

  1. Poland (global rank #63) — 7% adoption in 2025 (4% in 2024, 2% in 2023). YoY growth: +75%. Downloads: 2.5M in 2025, 1.5M in 2024, 847.7K in 2023.
  2. Belarus (global rank #59) — 12% adoption in 2025 (7% in 2024, 3% in 2023). YoY growth: +71%. Downloads: 1.1M in 2025, 602.9K in 2024, 232.4K in 2023.
  3. Ukraine (global rank #52) — 27% adoption in 2025 (14% in 2024, 6% in 2023). YoY growth: +93%. Downloads: 10.6M in 2025, 5.4M in 2024, 2.3M in 2023.
  4. Bulgaria (global rank #50) — 31% adoption in 2025 (15% in 2024, 5% in 2023). YoY growth: +107%. Downloads: 2.0M in 2025, 969.9K in 2024, 348.8K in 2023.
  5. Italy (global rank #45) — 35% adoption in 2025 (22% in 2024, 8% in 2023). YoY growth: +59%. Downloads: 20.8M in 2025, 13.2M in 2024, 4.8M in 2023.
  6. Czechia (global rank #44) — 35% adoption in 2025 (21% in 2024, 7% in 2023). YoY growth: +67%. Downloads: 3.8M in 2025, 2.3M in 2024, 811.3K in 2023.
  7. Switzerland (global rank #42) — 36% adoption in 2025 (25% in 2024, 12% in 2023). YoY growth: +44%. Downloads: 3.3M in 2025, 2.3M in 2024, 1.1M in 2023.
  8. Hungary (global rank #41) — 36% adoption in 2025 (18% in 2024, 6% in 2023). YoY growth: +100%. Downloads: 3.4M in 2025, 1.7M in 2024, 618.7K in 2023.
  9. Greece (global rank #40) — 36% adoption in 2025 (19% in 2024, 6% in 2023). YoY growth: +89%. Downloads: 3.7M in 2025, 2.0M in 2024, 594.7K in 2023.
  10. Romania (global rank #39) — 37% adoption in 2025 (16% in 2024, 7% in 2023). YoY growth: +131%. Downloads: 7.1M in 2025, 3.0M in 2024, 1.3M in 2023.

AI adoption in the 5 largest European Union (EU) economies

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  • France (global rank #14): 47% adoption in 2025 (23% in 2024, 10% in 2023). YoY growth: +104%. Downloads: 32.1M in 2025, 15.4M in 2024, 6.6M in 2023.
  • Netherlands (global rank #15): 47% adoption in 2025 (29% in 2024, 13% in 2023). YoY growth: +62%. Downloads: 8.5M in 2025, 5.3M in 2024, 2.3M in 2023.
  • Spain (global rank #21): 45% adoption in 2025 (25% in 2024, 8% in 2023). YoY growth: +80%. Downloads: 22.0M in 2025, 12.2M in 2024, 3.9M in 2023.
  • Germany (global rank #24): 44% adoption in 2025 (28% in 2024, 11% in 2023). YoY growth: +57% — the weakest growth rate among the five. Downloads: 36.6M in 2025, 23.8M in 2024, 9.4M in 2023.
  • Italy (global rank #45): 35% adoption in 2025 (22% in 2024, 8% in 2023). YoY growth: +59%. Downloads: 20.8M in 2025, 13.2M in 2024, 4.8M in 2023.

Fastest and slowest growing European AI markets

  1. Romania — +131%
  2. Slovakia — +111%
  3. Bulgaria — +107%
  4. Portugal — +104%
  5. France — +104%
  6. Croatia — +100%
  7. Hungary — +100%
  8. Ukraine — +93%
  9. United Kingdom — +90%
  10. Greece — +89%
  1. Belgium — +36%
  2. Switzerland — +44%
  3. Lithuania — +49%
  4. Ireland — +50%
  5. Germany — +57%
  6. Sweden — +59%
  7. Italy — +59%
  8. Netherlands — +62%
  9. Austria — +63%
  10. Denmark — +65%

Conclusion

Methodology

Limitations

  • The dataset is exclusively composed of download statistics from the Google Play Store and Apple App Store. This scope inherently excludes other significant distribution channels, such as desktop-based software installations, side-loaded Android application packages (APKs), browser tools, and direct downloads from provider websites.
  • The primary metric is the number of download events, which may not directly equate to the number of unique users. A single user may contribute multiple downloads through device changes, reinstallations, or updates, potentially inflating adoption estimates. As such, the data reflects the volume of download activity rather than the size of the active user base.
  • Geographic data is based on the user's app store region setting, which may not correspond to their physical location. This discrepancy is particularly noteworthy in regions with internet restrictions, where users may register their accounts in foreign countries to circumvent censorship.
  • Adoption rates are derived by normalizing downloads against the total population of each country. This method does not control country-specific variables that influence technology adoption, such as internet penetration rates, smartphone ownership, or demographic distributions. Therefore, direct comparisons of per capita adoption rates between countries with different technological infrastructures should be made with caution.
  • The study's sample is limited to 100 pre-selected AI apps. This introduces a potential selection bias, as the dataset does not account for downloads from smaller, niche, or region-specific providers that constitute a portion of the overall market.
  • One major global player missing from the study is China. However, Google Play Store is blocked in China, and Apple's App Store accounts for only around 20% of China's app market. Given these constraints, China was excluded from the study.
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