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AI startups attracted 61% of global venture-capital investment by value in 2025, but that does not mean they received 61% of venture deals—or that a typical AI startup raised an enormous round. The OECD’s 2026 analysis puts the mean AI deal at $35.8 million and the median at $5 million, while deals above $100 million accounted for about 73% of AI investment value. The key difference is therefore not just how much capital AI receives, but how concentrated that capital is by deal size, stage and geography.
What makes AI startup funding look different?
The most striking difference is AI’s share of venture-capital dollars. The OECD estimates that AI companies received $258.7 billion of the $427.1 billion invested globally in venture capital in 2025—61% of the total. In 2022, AI’s share was 30%, according to the OECD’s comparison. These figures establish a sharp rise in AI’s share of investment value, not a rise of the same size in the number of funded companies.
That distinction matters because a dollar-share statistic adds up the value of deals. It can rise sharply when a small number of companies raise exceptionally large rounds, even if the number of companies receiving funding does not rise at the same rate. It also does not tell a founder what valuation, dilution, or terms to expect. The OECD’s figures are about investment activity, not a measure of individual companies’ fundraising odds or outcomes.
For a fair comparison between AI and another sector, consider at least five separate measures: total capital invested, number of deals, typical deal size, funding stage, and geography. A sector may rank high by total dollars because it has many deals, because a handful of rounds are huge, or through a combination of both. Without the deal count and comparable median round sizes, the total alone cannot distinguish those patterns.
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Why a large AI total can hide the typical round
The OECD reports that the mean AI venture deal size increased from about $11.2 million in 2014 to $35.8 million in 2025. In 2025, however, the median AI deal size was $5 million. The mean is the arithmetic average; the median is the midpoint when deals are ordered by size. When the mean is much higher than the median, very large deals are pulling the average upward.
The contrast is consistent with a highly uneven distribution: the typical deal, as represented by the median, was much smaller than the average. The OECD also reports that deals above $100 million represented about 73% of AI investment value in 2025. That share describes dollars invested, not the fraction of deals that exceeded $100 million. It should not be read as evidence that most AI startups received mega-rounds.
These measurements answer different questions:
- Total investment value shows how much capital was committed across the sector.
- Mean deal size gives the average value, but can be pulled upward by a few very large financings.
- Median deal size gives the midpoint deal and is less affected by outliers.
- Deal count would show how many financings took place, but the OECD figures cited here do not provide a comparable count for every sector.
The available numbers therefore support a clear conclusion about concentration in AI’s 2025 investment value, but not a claim that AI startups generally raise larger rounds than startups in every other sector. The comparison would require consistent, sector-by-sector deal counts and median sizes, which are not established in the cited figures.
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How AI funding compares with other sectors
There is no single, universally comparable statistic in the available figures that ranks AI against every other sector. One useful U.S. comparison comes from the National Venture Capital Association’s 2026 Yearbook: it describes U.S. AI financing as highly concentrated and says that, after AI mega-rounds are excluded, life sciences’ share of U.S. venture funding returns to roughly 20%, near its historical average. That is the NVCA’s U.S.-market framing; it is not a global sector estimate and should not be combined directly with the OECD’s global totals.
European Commission publications offer a different comparison, with their own regional scope, years and sector definitions. Its 2026 funding summary compares AI’s allocation across U.S. and European venture capital from 2020 through 2025. Separately, a 2025 Commission analysis examines ten selected industrial sectors in Europe. Those figures add context about where capital goes beyond AI, but they are not a complete, global ranking of all sectors.
| Measure | Reported figure | Scope and qualification |
|---|---|---|
| AI share of venture-capital investment value | 61%: $258.7 billion of $427.1 billion in 2025 | Global; OECD analysis published in 2026. |
| AI share of venture-capital investment value | 30% in 2022 | Global comparison baseline cited by the OECD in 2026. |
| AI allocation of venture capital | 34% of $1.33 trillion in U.S. venture funding; 18% of €252 billion in European venture funding | European Commission comparison covering 2020–2025. The currencies and regional funding bases differ; preserve each as reported rather than treating them as one common pool. |
| Health & Pharma | €43 billion enterprise value and €4.7 billion in venture capital since 2020 | European Commission’s 2025 analysis of ten selected European industrial sectors; not a global all-sector total. |
| Defence, Security & Space | €38 billion enterprise value and €4.6 billion in venture capital since 2020 | European Commission’s 2025 analysis of ten selected European industrial sectors; not a global all-sector total. |
The table’s values should not be used as if they were measured on one common basis. They cover different geographies, periods and kinds of measure: an annual global investment share, a multi-year regional allocation, or sector-specific European enterprise value and venture capital. Enterprise value is not the same as venture funding, so the two figures for Health & Pharma and Defence, Security & Space describe different things.
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Where the AI funding is concentrated
AI venture funding is geographically concentrated as well as concentrated in large deals. In 2025, the OECD attributes about 75% of global AI venture deal value—$194 billion—to the United States. Its reported shares for other destinations were 6% ($15.8 billion) for the EU27, 5% ($13.9 billion) for China, and 5% ($13.8 billion) for the United Kingdom. The listed shares do not need to add to exactly 100%: the figures are rounded, and the list does not name every destination.
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European Commission figures also show that investor participation varies with deal size. In its 2026 funding summary, the Commission says 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. The thresholds matter: this is not a statement about all European rounds, nor does it give the share for deals between €10 million and €25 million. It illustrates why funding geography can look different for smaller rounds than for larger ones.
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How funding stage changes the picture
Aggregate totals can conceal whether capital is reaching new companies or flowing into later-stage financings. The OECD reports that, since 2023, AI’s early-stage share relative to later rounds has declined. The cited material does not supply a percentage for that decline, so it should be described as a directional change rather than assigned a precise size.
Combined with the large share of value accounted for by deals above $100 million, the stage trend points to an important distinction: the expansion of AI’s total investment value does not, by itself, establish that early-stage companies are benefiting equally. A large funding total can coexist with a smaller relative share for early rounds if more value is concentrated in later financings. This is an interpretation of the OECD’s distribution and stage observations, not a direct measure of how likely an individual early-stage founder is to raise.
When looking at any sector’s funding, compare like stages with like stages. A seed round should not be judged against a late-stage growth financing simply because both are counted as venture deals. A useful comparison would separate seed and early-stage rounds from later financings, then compare the capital and deal counts in each group. The figures here do not establish comparable stage-by-stage medians for AI and other sectors.
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Why the answer depends on what counts as an AI company
Sector definitions affect the denominator behind a funding-share statistic. Some datasets may classify a company as AI-focused, while others may include businesses using AI as one part of a broader product or operation. As more companies describe themselves as AI-enabled, a wider classification could change which firms are counted as AI and how much capital is attributed to the sector.
That makes the question “What share went to AI?” incomplete without asking who defined AI and which dataset was used. The OECD’s 61% is its global estimate for 2025; NVCA’s Yearbook describes the U.S. market; and European Commission summaries use European scope and selected sector definitions. Their numbers answer related questions, but they should not be merged into a single trend line unless their coverage and classifications match.
What founders and readers should take from the numbers
For founders, the headline share is context about the venture market, not a fundraising forecast. It says that AI captured a large proportion of global venture dollars in 2025. It does not establish that a particular AI product will attract funding, that investors will offer better terms, or that a non-AI startup faces no available capital. The OECD’s mean–median gap and concentration figures are especially important cautions against treating mega-round coverage as representative of an ordinary financing.
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For readers comparing sectors, ask these questions before drawing a conclusion:
- Is the statistic about dollars invested or the number of deals?
- Does it report a mean, a median, or a total?
- Which funding stages are included, and are they being compared on the same basis?
- Is the figure global, U.S.-only, European, or limited to selected industries?
- How does the source define an AI company and the sector denominator?
- Does the reported period match the period used for the comparison sector?
Those checks help separate a genuine shift in the allocation of venture capital from a headline that is heavily influenced by a few unusually large deals. On the available evidence, the clearest difference is that AI had an unusually large share of venture value in 2025, with that value concentrated in mega-deals and particular geographies; the figures do not show that most AI startups raised huge rounds or that venture capital went only to AI.
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