AI startup funding by city in 2025 reveals a market defined by extreme geographic concentration. San Francisco alone captured $111.6B across 707 deals, more than five times the next-closest city, New York ($22.2B). Our analysis of 4,760 funded AI deals across 788 cities and 92 countries shows that the gap between the top hub and everyone else is not closing. It is widening. The broader Bay Area metro, including Palo Alto, Mountain View, San Jose, and Santa Clara, pulled in $124.1B, representing 44.3% of the $280.2B global total.
The question is no longer whether San Francisco dominates AI funding. The question is whether any other city can build a credible alternative.
On this page
- San Francisco Captured $111.6B in AI Deals: More Than Five Times the Next-Closest City
- The Global Top 20: AI Startup Funding by City, Fully Ranked
- New York vs London vs Paris: How Secondary Hubs Stack Up
- Emerging AI Cities: Austin, Berlin, Toronto, and Bangalore Are Gaining Ground
- Where the Mega-Rounds Land: Cities Attracting $100M+ Deals
- AI Funding by Country: The National View Behind City-Level Data
- FAQ: AI Startup Funding by City
- Methodology: How We Track AI Funding Across 788 Cities
San Francisco Captured $111.6B in AI Deals: More Than Five Times the Next-Closest City
San Francisco’s $111.6B in AI startup funding across 707 deals dwarfs every other city in the dataset. The median deal size of $14.0M signals that this is not just a story of a few mega-rounds inflating the numbers, though those exist. OpenAI closed a $40.0B round, and Anthropic raised $13.0B and $3.5B across two rounds. Databricks closed $15.3B in total financing in January (a $10B Series J equity round plus $5.3B in debt financing) and raised another $4.0B in a Series L in December.
But the dominance runs deeper than headline deals. SF AI startups captured the majority of 2025 venture capital, with 81% of all local startup capital allocated to AI businesses, an 11 percentage-point jump from 2024.
The Bay Area metro tells an even more concentrated story. Adding Palo Alto ($5.0B, 75 deals), Mountain View ($3.2B, 21 deals), San Jose ($2.3B, 25 deals), and Santa Clara ($2.0B, 24 deals) to San Francisco’s total produces $124.1B across 852 deals. That is 44.3% of all global AI funding flowing through a single metro area.
The Global Top 20: AI Startup Funding by City, Fully Ranked
The top 20 cities for AI startup funding in 2025 span 11 countries, but the capital distribution is sharply uneven. Here is how they stack up.
| Rank | City | Total Funding | Deals | Median Deal | Avg Deal |
|---|---|---|---|---|---|
| 1 | San Francisco | $111.6B | 707 | $14.0M | $157.8M |
| 2 | New York | $22.2B | 518 | $16.0M | $42.8M |
| 3 | London | $9.5B | 303 | $8.0M | $31.3M |
| 4 | Palo Alto | $5.0B | 75 | $25.0M | $66.7M |
| 5 | Austin | $4.3B | 62 | $14.0M | $69.7M |
| 6 | Los Angeles | $4.3B | 77 | $10.0M | $55.5M |
| 7 | Paris | $3.9B | 84 | $12.0M | $45.9M |
| 8 | Mumbai | $3.3B | 18 | $11.5M | $183.3M |
| 9 | Boston | $3.2B | 98 | $15.9M | $33.0M |
| 10 | Mountain View | $3.2B | 21 | $53.0M | $153.4M |
| 11 | Tel Aviv | $3.1B | 100 | $16.3M | $31.1M |
| 12 | Norwalk | $3.0B | 2 | $1,507.5M | $1,507.5M |
| 13 | Cambridge | $2.9B | 44 | $28.5M | $65.5M |
| 14 | Denver | $2.7B | 30 | $11.5M | $88.6M |
| 15 | Toronto | $2.3B | 40 | $5.7M | $57.5M |
| 16 | San Jose | $2.3B | 25 | $25.0M | $90.3M |
| 17 | Bangalore | $2.2B | 55 | $5.0M | $40.9M |
| 18 | Grand Rapids | $2.1B | 1 | $2,100.0M | $2,100.0M |
| 19 | Santa Clara | $2.0B | 24 | $43.0M | $84.0M |
| 20 | Berlin | $2.0B | 62 | $13.5M | $32.4M |
Source: Bot Memo analysis of 4,760 funded AI deals (January to December 2025)
A note on currency conversions: Seoul and Tokyo appear in the raw dataset with totals that would place them at #2 and #3 respectively, but these figures reflect local currency amounts (KRW and JPY) stored at face value in USD columns. Seoul’s $111.0B total includes entries like Habit Factory at ₩35B (actual value: ~$26M USD) and Colosseum at ₩27B (~$21M USD). Tokyo’s $52.7B includes Sakana AI at ¥20B (~$135M USD) and SkyDrive at ¥8.3B (~$55M USD) [HQ: Toyota, Aichi]. We have excluded these cities from the USD-denominated ranking above to maintain apples-to-apples comparisons.
New York vs London vs Paris: How Secondary Hubs Stack Up
After San Francisco, the race for second place reveals three distinct AI startup cities with different strengths.
New York leads the secondary pack at $22.2B across 518 deals. The city’s $16.0M median deal is the highest among the three, reflecting a mature ecosystem pulling larger rounds. NYC ranks as the #2 global startup ecosystem behind Silicon Valley. AI accounted for 35% of total capital raised in the city as of 2023. New York’s advantage is deal volume, 518 deals to London’s 303 and Paris’s 84.
London sits at $9.5B across 303 deals but carries a lower $8.0M median, suggesting a broader spread of earlier-stage activity. London leads Europe as the top AI hub with greater sector diversification than its Continental peers. Our breakdown of AI startups in London covers the ecosystem in detail.
Paris punches differently at $3.9B across 84 deals. Fewer deals, but the presence of Mistral AI, which closed a record-breaking EUR 1.7B Series C in September 2025, skews the average upward. Paris now ranks as the world’s fifth most important AI hub. Paris benefits from a deep pipeline of engineering talent, with Ecole Polytechnique and other grandes ecoles supplying a high density of technical founders.
| Metric | New York | London | Paris |
|---|---|---|---|
| Total Funding | $22.2B | $9.5B | $3.9B |
| Deal Count | 518 | 303 | 84 |
| Median Deal | $16.0M | $8.0M | $12.0M |
| Avg Deal | $42.8M | $31.3M | $45.9M |
Source: Bot Memo analysis of 4,760 funded AI deals (January to December 2025)
New York wins on volume and total capital. Paris wins on average deal size per transaction. London sits in the middle: high deal flow, moderate deal sizes, broader sector coverage.
Emerging AI Cities: Austin, Berlin, Toronto, and Bangalore Are Gaining Ground
Below the top tier, a cluster of emerging AI hubs is attracting meaningful capital with distinct specializations.
Austin reached $4.3B across 62 deals, with a $14.0M median that matches San Francisco’s. The city’s AI growth tracks its broader tech migration story: low taxes, lower cost of living than the Bay Area, and a growing semiconductor ecosystem anchored by the University of Texas. Austin’s startup culture extends across AI chips, enterprise SaaS, and defense tech.
Berlin recorded $2.0B across 62 deals, matching Austin in deal volume with a $13.5M median. Berlin has emerged as one of Europe’s leading startup hubs, with particular strength in software and e-commerce AI applications, offering founders lower operating costs than London or Paris.
Toronto pulled in $2.3B across 40 deals, though the $5.7M median reveals a concentration of early-stage activity. Toronto’s AI ecosystem has pivoted from pure software to sovereign AI infrastructure, a differentiated play few other cities are making.
Bangalore logged $2.2B across 55 deals with a $5.0M median, the lowest among these four cities, consistent with India’s early-stage-heavy market. Bengaluru ranks #5 among the top 50 global AI cities, capturing 47% of India’s startup funding (based on 2024 data).
These cities share a common profile: strong university talent, lower costs than the Bay Area, and enough deal volume to sustain an AI startup ecosystem, though none yet cracks 5% of San Francisco’s total.
Where the Mega-Rounds Land: Cities Attracting $100M+ Deals
The geographic concentration of AI capital becomes most visible at the top end. Mega-deals of $100M+ accounted for 75.9% of all AI funding in 2025, and they cluster overwhelmingly in a handful of cities.
San Francisco dominates mega-round activity. OpenAI ($40.0B), Anthropic ($13.0B + $3.5B), and Databricks ($15.3B + $4.0B) alone account for $75.8B combined, all headquartered in a single city. An estimated 70% of all U.S. startup funding in 2025 went to rounds of $100M and up, with 16 of the 20 largest AI rounds going to U.S. companies.
Other cities attracting mega-rounds include Norwalk ($3.0B total from just 2 deals; Infinite Reality (iR) pulled $3.0B in a single private investment), Grand Rapids ($2.1B from 1 deal), and Mumbai ($3.3B across 18 deals, with its $183.3M average signaling at least one massive round).
Cambridge tells a subtler version of this story: $2.9B across 44 deals with a $28.5M median. Its biotech and AI research base attracts consistently large rounds without relying on a single outlier. Denver ($2.7B, 30 deals) and Mountain View ($3.2B, 21 deals, $53.0M median) follow similar patterns.
The data confirms a broader pattern: the AI funding recovery is real, but it is driven by a limited number of very large deals concentrated in very few places, not by broad-based growth.
AI Funding by Country: The National View Behind City-Level Data
Rolling city-level data up to the national view reveals the scale of U.S. dominance and where the rest of the world actually stands.
| Rank | Country | Total Funding | Deals | Share of Global |
|---|---|---|---|---|
| 1 | United States | $217.6B | 2,729 | 77.7% |
| 2 | India | $11.2B | 126 | 4.0% |
| 3 | United Kingdom | $11.0B | 409 | 3.9% |
| 4 | Germany | $5.8B | 162 | 2.1% |
| 5 | France | $4.2B | 106 | 1.5% |
| 6 | Canada | $4.1B | 109 | 1.5% |
| 7 | Israel | $3.5B | 114 | 1.3% |
| 8 | China | $2.4B | 29 | 0.9% |
Source: Bot Memo analysis of 4,760 funded AI deals (January to December 2025). South Korea ($111.0B) and Japan ($57.8B) excluded from ranking due to local currency conversion artifacts (see methodology).
The United States accounts for $217.6B across 2,729 deals, 77.7% of all tracked AI funding and 57.3% of all deals, home to the deepest concentration of venture-backed artificial intelligence companies anywhere. When you add U.S.-allied English-speaking markets (UK, Canada), plus Europe’s big three (Germany, France, Israel), Western-aligned economies (the US, UK, Canada, Germany, France, and Israel) account for 87.9% of all tracked AI funding.
India’s $11.2B across 126 deals positions it as the largest non-Western AI market in terms of reliable USD-denominated data. India’s startup funding hit $11B in 2025 as investors grew more selective, concentrating on proven business models.
China’s $2.4B across 29 deals in our dataset underrepresents actual activity. Chinese AI funding flows through mechanisms that are harder to track from public announcements. China’s actual share is likely closer to 5% of global AI VC, roughly $14.0B, which points to undercounting in publicly announced deal data.
FAQ: AI Startup Funding by City
Which city has the most AI startup funding?
San Francisco leads globally with $111.6B in AI startup funding across 707 deals in 2025. The broader Bay Area metro, including Palo Alto, Mountain View, San Jose, and Santa Clara, reached $124.1B, representing 44.3% of the $280.2B global total tracked by Bot Memo.
What percentage of AI funding goes to San Francisco?
San Francisco captured 39.8% of all global AI funding in 2025 ($111.6B out of $280.2B). Within the United States, San Francisco’s share is higher: 51.3% of the $217.6B in U.S. AI deals. Including the full Bay Area metro, the figure climbs to 57.0% of U.S. AI funding.
What are the top cities for AI investment in 2025?
The top five cities by total AI funding in 2025 are San Francisco ($111.6B), New York ($22.2B), London ($9.5B), Palo Alto ($5.0B), and Austin ($4.3B). See the full ranking table above for the complete top 20.
Which cities outside the US lead in AI funding?
London ($9.5B, 303 deals) leads all non-U.S. cities, followed by Paris ($3.9B, 84 deals), Mumbai ($3.3B, 18 deals), Tel Aviv ($3.1B, 100 deals), and Toronto ($2.3B, 40 deals). For European AI funding analysis, see our coverage of AI startups in London.
Is AI funding concentrated in a few cities?
The concentration is extreme. The top 5 cities account for $152.6B, or 54.5% of global AI funding. Meanwhile, 788 cities recorded at least one funded deal, meaning the remaining 783 cities share the other 45.5%. AI mega-deals of $100M+ accounted for 75.9% of all AI funding value, and those deals cluster in fewer than 20 cities worldwide.
Methodology: How We Track AI Funding Across 788 Cities
This analysis is based on 4,760 funded AI deals tracked in the Bot Memo database from January through December 2025.
Data sources: Bot Memo monitors public funding announcements, press releases, and regulatory filings across 900+ sources per week.
Scope: 4,760 deals with confirmed funding amounts across 788 cities and 92 countries. An additional 669 tracked deals without confirmed funding amounts are excluded from dollar-volume calculations.
City normalization: Company headquarters are normalized to city level. Multi-city companies are attributed to their primary listed headquarters. Variations (e.g., “San Francisco, California” vs. “San Francisco”) are consolidated.
Currency: All amounts are reported in USD. Non-USD amounts are converted at the time of announcement. Important caveat: Some entries from South Korea and Japan retain local currency values (KRW, JPY) stored at face value in USD columns, inflating totals for Seoul and Tokyo. These cities are flagged in the analysis and excluded from USD-denominated rankings.
Limitations: Private deal terms may be underreported. Chinese AI funding is undercounted relative to known market activity, as many deals are not publicly announced. Valuation data is available for a minority of deals. The $280.2B total reflects publicly announced funding and should not be interpreted as the complete universe of global AI investment.
About the author
Editorial Staff
The Editorial Staff at Bot Memo is a team of writers, analysts, and AI agents dedicated to mapping the global AI startup ecosystem. Led by Chintan Zalani, the team tracks thousands of funding rounds, classifies companies across verticals, and distills it all into actionable intelligence for investors and founders.
