65% of financial services firms actively used AI at the start of 2026, up from 45% a year earlier, based on NVIDIA’s sixth annual survey of more than 800 industry professionals. This post collects the current verified numbers on the AI in fintech market: market size forecasts, adoption rates, 2024 versus 2025 funding, fraud detection results, and agentic AI deployment in banking. Every figure below comes from the publishing organization’s own release.
AI in Fintech Market Statistics 2026
How Big Is the AI in Fintech Market in 2026?
Forecasts diverge because each research firm defines the scope of “AI in fintech” differently. Fortune Business Insights values the market at $45.53 billion in 2026, up from $36.96 billion in 2025, and projects $241.67 billion by 2034 at a 23.20% CAGR.
Mordor Intelligence values 2026 at $36.61 billion and projects $99.09 billion by 2031 at 22.04%. Business Research Insights sets the lowest 2026 anchor at $28.59 billion but the steepest growth rate, 28.46% to $272.26 billion by 2035.
| Research firm | 2026 estimate (vendor revenue) | Forecast value | Target year | CAGR |
|---|---|---|---|---|
| Fortune Business Insights | $45.53 billion | $241.67 billion | 2034 | 23.20% |
| Mordor Intelligence | $36.61 billion | $99.09 billion | 2031 | 22.04% |
| Business Research Insights | $28.59 billion | $272.26 billion | 2035 | 28.46% |
Source: Fortune Business Insights, Mordor Intelligence, and Business Research Insights company reports, 2026 editions
The gap between the highest and lowest 2026 estimate is $16.94 billion. All three growth rates sit between 22% and 29%, so the disagreement is about scope, not trajectory. Treat any single headline figure as one vendor’s boundary of the market.
AI Adoption Rates in Fintech and Financial Services
NVIDIA’s State of AI in Financial Services survey, published January 22, 2026 and covering more than 800 financial services professionals, recorded a 20-point jump in active AI usage in one year. Returns are showing up in reported financials: 89% of respondents credit AI with raising revenue and cutting costs.
| Metric (share of surveyed professionals) | Figure |
|---|---|
| Company actively using AI in 2026 | 65%, up from 45% in the prior survey |
| Using or assessing generative AI | 61%, up from 52% |
| Using or assessing agentic AI | 42% |
| Already deployed AI agents | 21% |
| Say open-source models matter to AI strategy | 84% |
| Report AI raised revenue and cut costs | 89% |
Source: NVIDIA, State of AI in Financial Services: 2026 Trends, published January 2026
UK AI Adoption Data From the Bank of England and FCA
The Bank of England and FCA survey of 118 UK firms, published November 2024, found 75% already using AI, with a further 10% planning to within three years. The 2022 round recorded 58% and 14%.
Insurance had the highest sector adoption at 95%; financial market infrastructure firms had the lowest at 57%. Foundation models, including large language models, accounted for 17% of all AI use cases, and only 2% of use cases run fully autonomously.
Source: Bank of England and FCA, Artificial Intelligence in UK Financial Services survey, November 2024
AI in Fintech Investment Trends: 2024 vs 2025
Investment in AI-driven fintech companies rose from $12.1 billion in 2024 to $16.8 billion in 2025, based on KPMG’s Pulse of Fintech H2’25, with deal count climbing from 1,183 to 1,334. Total global fintech investment rose from $95.5 billion to $116 billion over the same period, while overall deal volume fell to an eight-year low of 4,719.
AI deal count grew while total fintech deal count shrank. Capital concentrated in AI while the rest of the sector consolidated.
| Metric (KPMG, includes VC, PE and M&A) | 2024 | 2025 |
|---|---|---|
| Investment in AI-driven fintech companies | $12.1 billion | $16.8 billion |
| AI-driven fintech deals | 1,183 | 1,334 |
| Total global fintech investment | $95.5 billion | $116 billion |
Source: KPMG, Pulse of Fintech H2’25, data as of 31 December 2025
CB Insights Venture-Only Fintech Funding Data
On a venture-only basis, CB Insights recorded $52.7 billion raised by fintech companies in 2025, up from $38.9 billion in 2024, while deal count fell from 4,474 to 3,631. The average fintech deal size rose 55% year over year to $20 million, and the median rose 43% to $5 million.
The KPMG and CB Insights totals differ because KPMG includes M&A and private equity alongside venture capital. Both datasets point the same direction: more money, fewer deals. JPMorgan Chase, the largest US bank by assets, sits on the buy side of this consolidation as banks absorb fintech capability.
Source: CB Insights, State of Fintech 2025 report, January 2026
AI Fraud Detection Statistics in the Fintech Market
A Mastercard survey run with Financial Times Longitude covered 300 senior payments executives, so the percentages below share one denominator. Organizations lost $60 million on average to payment fraud in the past year, per the same survey.
| Metric (share of 300 surveyed payments executives) | Figure |
|---|---|
| Issuers saving over $5 million in fraud attempts via AI (past two years) | 42% |
| Acquirers saving over $5 million on the same basis | 26% |
| Report returns from AI in triage, pattern recognition and real-time detection | 85% |
| Report AI cut false positives and reduced customer churn | 83% |
| Report AI sped up investigations and case resolution | 83% |
| Expect higher losses within three years without more AI | 90% |
Source: Mastercard and Financial Times Longitude, On the Right Side of AI report, 2025
Duration of investment matters in the same survey: organizations using AI for fraud prevention for more than five years report average savings of $4.3 million in recovered revenue, against $2.2 million for newer adopters. Mastercard itself has built fraud tooling since its 1966 founding as the Interbank Card Association, and AI screening now runs across its network.
The threat side is growing too. Deloitte projects generative AI could push US fraud losses to $40 billion by 2027, up from $12.3 billion in 2023, a projection Mastercard cites in its own fraud research.
Source: Deloitte Center for Financial Services projection, cited by Mastercard, 2025
Agentic AI in Banking: Use Case Tracker Data
Agentic applications made up 31% of newly announced AI use cases across the 50 banks in the Evident AI Index in Q1 2026, the highest share on record and up from 15% in Q4 2025. Most cluster in product and service operations as banks shift from enterprise-wide copilots to workflow-specific tools.
The vendor picture shifted in the same tracker. Specialized providers beyond the hyperscalers account for 68% of deployments, Anthropic was the most referenced vendor in Q1 2026, and OpenAI’s share of public use cases fell from 35% to 27% year on year.
Source: Evident Insights, AI Use Case Trends in Banking, Q4 2025 and Q1 2026 reports
What the 2026 AI in Fintech Data Shows
Three figures anchor the year. Active AI usage in surveyed financial firms reached 65%, AI-driven fintech investment hit $16.8 billion, and only 2% of UK AI use cases operate without human involvement.
Deployment is broad, funding is concentrating in fewer and larger deals, and autonomy remains marginal. Any 2026 forecast that assumes otherwise is running ahead of the published evidence.
FAQs
How big is the AI in fintech market in 2026?
Between $28.59 billion and $45.53 billion, depending on scope. Fortune Business Insights estimates $45.53 billion, Mordor Intelligence $36.61 billion, and Business Research Insights $28.59 billion for 2026, with CAGRs of 22% to 29%.
What percentage of financial firms use AI in 2026?
65% of surveyed financial services firms actively use AI, up from 45% a year earlier, per NVIDIA’s 2026 survey of 800+ professionals. In the UK, 75% of firms surveyed by the Bank of England and FCA already use AI.
How much was invested in AI fintech companies in 2025?
$16.8 billion across 1,334 deals, per KPMG’s Pulse of Fintech H2’25, up from $12.1 billion across 1,183 deals in 2024. Total global fintech investment reached $116 billion in 2025.
Is the AI fraud detection hype on Reddit backed by data?
Partly. Reddit threads often cite dramatic detection gains, but the surveyed baseline is this: 85% of 300 payments executives report returns from AI detection, and 42% of issuers saved over $5 million in two years, per Mastercard and FT Longitude.
Are AI banking agents as autonomous as Reddit discussions suggest?
No. Agentic tools were 31% of new bank AI use cases in Q1 2026 per Evident Insights, but only 2% of UK AI use cases run fully autonomously, per the Bank of England and FCA survey.
Sources
https://blogs.nvidia.com/blog/ai-in-financial-services-survey-2026/
https://www.bankofengland.co.uk/report/2024/artificial-intelligence-in-uk-financial-services-2024
https://kpmg.com/xx/en/what-we-do/industries/financial-services/pulse-of-fintech.html
https://evidentinsights.com/insights/banking-use-case-trends-q1-2026
