Generative AI Use by Businesses in Europe by Country (2025)
Share of enterprises using AI to generate written or spoken language across 32 European countries in 2025: 30.8% in Denmark against 2.7% in Turkey, median 7.1%. Eurostat ICT usage survey.
Data
| # | Country | % of enterprises (10+ employees) | Change vs 2024 |
|---|---|---|---|
| 1 | Denmark | 30.8 | +12.3pp |
| 2 | Finland | 20.1 | +7.1pp |
| 3 | Sweden | 19.7 | +7.8pp |
| 4 | Netherlands | 16.3 | +3.8pp |
| 5 | Belgium | 15.9 | +3.2pp |
| 6 | Austria | 15.3 | +7pp |
| 7 | Norway | 15.1 | +4.8pp |
| 8 | Estonia | 15.1 | +9.3pp |
| 9 | Luxembourg | 13.9 | +5.1pp |
| 10 | Czechia | 12.8 | +6.8pp |
| 11 | Slovakia | 9.3 | +5.4pp |
| 12 | Ireland | 9 | +1.8pp |
| 13 | Germany | 9 | +2.4pp |
| 14 | Spain | 8.9 | +4.7pp |
| 15 | France | 7.8 | +4.6pp |
| 16 | Croatia | 7.4 | +3.5pp |
| 17 | Lithuania | 6.7 | +3.1pp |
| 18 | Malta | 6.3 | +2.6pp |
| 19 | Italy | 6.2 | +2.5pp |
| 20 | Slovenia | 6.1 | -5.6pp |
| 21 | Portugal | 5.3 | +2.2pp |
| 22 | Poland | 5.2 | +2.9pp |
| 23 | Montenegro | 4.8 | +0.8pp |
| 24 | Latvia | 4.7 | +2.5pp |
| 25 | Cyprus | 4.5 | +1.5pp |
| 26 | Hungary | 4.2 | +1.4pp |
| 27 | Greece | 3.7 | +0.5pp |
| 28 | Bulgaria | 3.2 | +0.9pp |
| 29 | Serbia | 3.2 | +1.7pp |
| 30 | Romania | 3.1 | +1.6pp |
| 31 | Albania | 2.9 | +0.4pp |
| 32 | Turkey | 2.7 | +0.8pp |
About this Dataset
30.8% of enterprises in Denmark use AI to generate written or spoken language, against 2.7% in Turkey. The panel average is 9.6%, +3.5pp on 2024 — growth of roughly 58% in one survey year, which is not a rate any other indicator in Eurostat's ICT module comes close to.
This is the nearest thing Eurostat publishes to a measure of business adoption of large language models. It asks specifically about AI that generates text or speech, not about AI in general.
Denmark, Finland and Sweden take the top three places, and the Nordic and Benelux lead here maps almost exactly onto the broader AI-adoption ranking. That correspondence is the useful finding: generative AI is not redistributing digital capability across Europe, it is compounding what was already there. Denmark alone added +12.3pp over the year, more than the 7.1% the median country has reached in total, and the spread between top and bottom widened to 28 percentage points.
Firm size matters as much as geography. Adoption is far higher among large enterprises than among those with ten to forty-nine employees in every country surveyed, so a national score partly reports the shape of the business population rather than the sophistication of its leading companies — Italy at 6.2% and Poland at 5.2% both sit below what their large-firm sectors alone would produce. And Slovenia is a reminder of how young the series is: it fell -5.6pp over the year, which is unlikely to describe firms abandoning the technology and more likely reflects survey sampling. Four survey points are enough to establish an ordering and to size the annual moves, not to fit a trend.
Every row is the figure published for 2025; no value is carried over from an adjacent year to fill a gap. North Macedonia has not published a 2025 figure and is left out rather than carried forward from an older year. The chart tracks a fixed panel of 31 countries: those reporting in every year from 2021. The line therefore moves because the countries moved, not because the sample changed. The indicator is Eurostat ISOC_EB_AI, code E_AI_TNLG: enterprises with ten or more employees using AI technologies that generate written or spoken language. Eurostat first ran the module in 2021 and skipped 2022, so the chart covers four survey years rather than a continuous annual run.
Country pages: Denmark · Finland · Sweden · Netherlands · Belgium · Austria · Norway · Estonia · Luxembourg · Czechia · Slovakia · Ireland · Germany · Spain · France · Croatia · Lithuania · Malta · Italy · Slovenia · Portugal · Poland · Montenegro · Latvia · Cyprus · Hungary · Greece · Bulgaria · Serbia · Romania · Albania · Turkey