AI startups captured 61% of global venture-capital investment by value in 2025, but that does not mean they received 61% of funding rounds—or that a typical AI startup raised an enormous round. The OECD reported a $35.8 million mean AI deal size and a $5 million median, while deals above $100 million accounted for about 73% of AI investment value. To understand how AI funding differs from other sectors, separate total dollars from deal counts, typical round size, stage and geography.
What makes AI funding look different?
The headline difference is AI’s share of venture-capital dollars. In its 2026 analysis of 2025 global activity, the OECD estimated that AI received $258.7 billion of $427.1 billion in venture-capital investment, or 61% of the total. Its comparison figure for 2022 was 30%. These are shares of investment value—not shares of startups, financing rounds, or venture-backed companies.
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That distinction is essential. A sector can claim a large portion of dollars because it has many financings, because its rounds are unusually large, or through a combination of both. The OECD’s figures point strongly to the importance of very large AI financings: deals exceeding $100 million represented about 73% of AI investment value in 2025. A small number of large deals can therefore move the overall share substantially.
The statistic describes venture investment, not every source of startup capital or every company using AI. It does not establish how much an individual founder can raise, the terms they will receive, or whether AI investments will produce stronger returns than investments in other sectors.
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Why the average AI round is not the typical round
The OECD reported that the mean AI venture-capital deal size rose from about $11.2 million in 2014 to $35.8 million in 2025. But the median AI deal size in 2025 was $5 million. The mean is the arithmetic average; the median is the midpoint, with half of observed deals below it and half above it. When a handful of very large financings lift the mean far above the median, the mean is a poor stand-in for what a typical company raised.
| Measure | OECD figure | What it tells you |
|---|---|---|
| Mean AI deal size, 2014 | About $11.2 million | Average deal value in that year; a useful historical reference, not a typical-round estimate. |
| Mean AI deal size, 2025 | $35.8 million | Average deal value, which can be pulled upward by large rounds. |
| Median AI deal size, 2025 | $5 million | The midpoint of the deal-size distribution; a more useful complement to the mean when judging a typical deal. |
| Deals above $100 million, 2025 | About 73% of AI investment value | The share of total AI investment value represented by these large deals, not their share of deal count. |
All figures in the table are from the OECD’s 2026 analysis of venture-capital activity. The mean and median are not interchangeable: the first describes average dollars per deal, while the second helps reveal how far the overall average may be from the middle of the distribution. The available figures do not provide equivalent medians for every other sector, so they cannot support a precise claim that a typical AI round is larger or smaller than a typical round in another industry.
Does the funding go to many AI startups or a few?
The aggregate numbers alone do not answer that question. The 61% figure is based on value, and the OECD’s estimate that deals above $100 million made up about 73% of AI investment value shows why round count matters. Those statistics are consistent with a market in which very large financings carry considerable weight; they do not tell you what proportion of all AI startups raised money or how many individual companies accounted for that value.
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For a useful comparison between AI and another sector, look for several measures from the same dataset and period:
- Share of value: How much of all venture investment went to the sector?
- Deal count: How many rounds were completed? A high dollar share does not prove a high round share.
- Median deal size: How large was the midpoint financing, rather than just the average?
- Stage: Were dollars concentrated in seed and early-stage rounds or in later-stage and growth financings?
- Geography and definition: Does the dataset cover the global market, one country or a selected group of industries, and how does it classify an AI company?
These measures answer different questions. A high sector share by value indicates where capital went in aggregate. A median describes the middle deal. Deal counts indicate how frequently companies raised. Stage data can show whether investment was concentrated among companies earlier or later in their development. None should be treated as a substitute for the others.
AI funding is concentrated geographically too
The OECD’s 2025 global AI deal-value estimate was heavily weighted toward the United States. It reported about 75%, or $194 billion, for the U.S.; 6%, or $15.8 billion, for the EU27; 5%, or $13.9 billion, for China; and 5%, or $13.8 billion, for the U.K. The percentages do not necessarily add to 100% because of rounding and other destinations. These are shares of global AI venture-capital deal value, not each region’s share of all venture capital.
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That concentration changes how a global headline should be read. The 61% figure does not describe every startup ecosystem equally: the U.S. alone accounts for about three-quarters of the global AI value in the OECD’s estimate. A founder comparing fundraising conditions in a particular country needs region-specific data, not just the global sector total.
What U.S. and European comparisons add—and what they do not
Different official sources help show how much the answer depends on geography and measurement. Their figures provide context, but they should not be combined as if they shared one market boundary, period or sector definition.
| Source and scope | Reported comparison | How to read it |
|---|---|---|
| OECD, global venture-capital data, 2025 | AI received $258.7 billion of $427.1 billion in global VC investment, or 61%. | A global sector share by value. |
| NVCA, U.S. market framing, 2026 Yearbook | U.S. AI financing is characterized as highly concentrated; excluding AI mega-rounds brings life sciences’ share back to roughly 20%, near its historical average. | A U.S.-specific comparison. The life-sciences figure is NVCA’s framing after excluding AI mega-rounds, not a global sector estimate. |
| European Commission, U.S.–Europe funding comparison, 2020–2025 | AI accounted for 34% of $1.33 trillion in U.S. VC funding and 18% of €252 billion in European VC funding. | Keep the reported currency amounts and regional scopes distinct; this is not a single-currency global comparison. |
| European Commission, selected European sectors, 2025 analysis | Health & Pharma: €43 billion enterprise value and €4.7 billion in VC since 2020. Defence, Security & Space: €38 billion enterprise value and €4.6 billion in VC. | These are figures for leading areas in the Commission’s ten-sector European analysis, not global totals for all industries. |
The European Commission’s funding summary also describes who participated in European AI deals at different sizes. EU investors supplied most funding for EU AI startups in rounds below €10 million, while their participation fell to 26% for AI deals above €25 million. Those are specific thresholds and a specific regional framing; they do not establish the investor mix for all AI rounds worldwide.
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The U.S. and European comparisons illustrate why “AI gets more funding than other sectors” needs a scope attached to it. One source may describe global investment value, another U.S. financing, and another selected European industries or a multi-year regional allocation. Even when each figure is accurate within its own framework, it is not automatically comparable with the others.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What the stage data says about early fundraising
The OECD reports that, since 2023, AI’s early-stage share relative to later rounds has declined. This is a statement about the composition of AI investment across stages over time; the available data does not specify a precise stage-by-stage share here. It suggests that later rounds have become relatively more prominent in the investment mix, but it does not show that seed or early-stage funding disappeared, nor does it measure any one founder’s chances of raising.
Combined with the gap between the $35.8 million mean and $5 million median in 2025, the stage trend is a reason to distinguish frontier-company mega-rounds from the experience of a typical early-stage company. The aggregate value can be enormous while many individual companies still face ordinary fundraising uncertainty. The figures do not establish that AI startups raise faster, receive better terms, or have easier access to capital than companies in other sectors.
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Why the sector label and dataset matter
“AI startup” is not a fixed category across all investment datasets. Some companies build AI models or infrastructure as their core business; others sell products in finance, health care or another industry that incorporate AI. As more companies describe themselves as AI-enabled, the classification boundary—and therefore the measured share—can change. The OECD, NVCA and European Commission figures should be understood within each source’s own market coverage and definitions.
Before interpreting a percentage, check four things: whether it counts dollars or rounds; whether it covers a calendar year or several years; which geography it represents; and how the source defines AI and the comparison sectors. Without those details, two percentages that look like competing answers may simply measure different things.
What a large AI share does not prove
The available figures establish that AI held an unusually large share of venture-capital value in 2025 and that very large deals formed a major part of that total. They do not establish the cause of the shift, whether the capital is distributed broadly across AI companies, or whether it will generate strong financial returns. Nor do they provide comparable cross-sector data for median round size, dilution or financing terms.
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For founders, the global share is market context—not a fundraising forecast. For investors and readers following the startup economy, the most informative comparison is a like-for-like one: the same geography, period, sector definitions and measures of value, count, stage and median deal size. That is how to separate a genuine broad shift in financing from a headline driven by a small number of outsized rounds.
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