Key takeaways
- European AI VC funding reached a record $21.8 billion in 2025, up 58%; AI is now more than 30% of all European VC.
- Europe has about as many AI start-ups as the US but captured only 11% of global AI VC since 2023, against 77% for the US.
- The gap is at scale: late-stage AI funding was $12 billion in Europe versus $141 billion in the US in 2025, and over half of late-stage capital is foreign.
- Over 75% of European AI funding targets vertical applications — health, energy, fintech, security and defence, legal.
The State of AI in Europe: The Invisible Giant report by Dealroom and Prosus (March 2026) describes a continent that builds AI companies at the same rate as the United States but rarely scales them at home. For founders, CTOs and investors working in or with Europe, its data explains both the opportunity and the constraints.
Funding at a record — and still small at scale
European AI venture funding reached an all-time high of $21.8 billion in 2025, up 58% from 2024 and nearly ten times the 2016 level. AI now accounts for more than 30% of all European VC funding, double its share three years earlier. Large seed rounds are also at a record, most of them in AI.
The gap appears as companies grow. Europe has a comparable number of AI start-ups to the US but captured only 11% of global AI VC since 2023, against 77% for the US. Early-stage funding is roughly on par; at breakout stage Europe invests about three times less, and at late stage the difference widens to roughly $12 billion versus $141 billion in 2025.
More than half of the late-stage capital going into European AI companies comes from abroad, predominantly from US investors, who also lead most European AI rounds above $100 million. The report's summary is blunt: Europe grows the companies; others own them at scale.
Adoption: Europe uses AI more than anyone
On usage, Europe leads. AI adoption in most European countries exceeds US levels, and Europe records about twice the LLM usage of the US. The dominant models, however, are built in the US and China — so European usage largely enriches foreign ecosystems.
Microsoft's AI Diffusion data for Q1 2026 points the same way: Norway, Ireland, France, Spain, the UK and the Netherlands all rank in the global top ten by share of the working-age population using AI.
Talent: on par at the frontier, in the wrong jobs
Europe has frontier AI talent comparable to the US, but its distribution differs:
- 53% of European AI talent works in traditional-economy roles, against 40% in the US.
- Only 33% works in digital-native technology companies, against 46% in the US.
- Around half of US AI talent is imported, much of it from Europe — though the report sees early signs of that flow reversing.
- Europe accounts for just 3% of new global AI patents, compared with 70% for the US and 14% for China.
The talent exists; fewer of those people work in companies built to scale AI products.
Where Europe competes
More than 75% of European AI funding targets vertical, specialist applications — health, energy, fintech, security and defence, and legal. Defence, security and resilience is the fastest-growing AI segment, with $8.7 billion invested in 2025, up 55% year on year. Europe also holds a strong position in robotics, AI-enabled manufacturing and autonomous systems, while trailing in foundation models and AI chips.
London remains the largest hub, with about 1,700 VC-backed AI start-ups worth a combined $125 billion and $7.1 billion raised in 2025. Munich and Zurich lead in deep tech and research; Paris is rising, particularly in model development.
The sovereignty question
Sovereignty runs through the report: models, compute and late-stage capital are concentrated outside Europe. Deloitte's State of AI in the Enterprise 2026 shows that buyers feel it too — 77% of companies now consider an AI solution's country of origin when choosing vendors, and 83% call data residency and in-region compute at least moderately important.
For companies selling AI products into Europe, that translates into concrete requirements: the ability to run models in the EU or on customers' own infrastructure, clear data-processing agreements, and documentation of where data flows.
The proposed fixes
Dealroom and Prosus argue that Europe's problem is capital and friction rather than innovation or talent. Their proposals include opening European pension funds — which hold around €13 trillion — to venture and growth capital (a 3% allocation would release about €100 billion), extending the planned EU-wide company framework to cover cross-border financing and employment, simplifying the regulatory stack, and backing European open-source models and vertical applications.
What it means for 2027–2028
- European AI companies will stay lean for longer before reaching growth capital, which puts a premium on senior, efficient engineering teams.
- Vertical AI is where Europe has an edge — and where domain knowledge and regulation (health, finance, defence) matter as much as models.
- Sovereignty is becoming a buying criterion, not just a policy theme; architecture choices need to reflect it.
Sources
- Dealroom.co and Prosus, The State of AI in Europe: The Invisible Giant, March 2026.
- CB Insights, State of AI Q1’26.
- Microsoft AI Economy Institute, Global AI Diffusion: Q1 2026 Trends and Insights.
- Deloitte AI Institute, State of AI in the Enterprise 2026.