Top AI workloads in financial services globally 2025| Statista

Most commonly used AI workloads in financial services worldwide from 2023 to 2025

Characteristic	2023	2024	2025
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Release date

January 2026

More information

Region

Worldwide

Survey time period

2023 to 2025

Number of respondents

839 respondents

Supplementary notes

In the 2023 and 2024 surveys, the source asked: “What AI and machine learning workloads is your company using or assessing (select all that apply)?” The 2025 survey did not provide the exact question wording, but it was likely similar. Agentic AI was not included in earlier survey waves, and predictive analytics was not included in the 2023 survey.

The source adds the following information: The sample was split evenly between management (including executives) and AI practitioners and covered a wide range of financial services segments, including asset managers and owners, broker-dealers, consultancies, commercial and retail banks, fintechs, investment banks, insurers, market data providers and exchanges, payments firms, and regulators. Respondents represented companies of different sizes: one-third reported annual revenue above 250 million U.S. dollars, and 40 percent came from firms with more than 500 employees. The global online survey was distributed via NVIDIA’s mailing lists and social media and, in China, through a third-party agency.

Citation formats

Data analytics remained the top AI workload among financial services firms in 2025. In a 2025 industry survey, ** percent of companies said they were using or assessing AI for data analytics, up from ** percent in the previous year. Generative AI also saw strong year-over-year momentum, ranking second, with more than ** percent of firms reporting they were implementing or evaluating it. Agentic AI emerged as a new area of interest in 2025, cited by over ** percent of respondents. Reflecting this growing embrace of AI solutions, the financial sector's investment in AI technologies continues to surge, with spending projected to reach over ** billion U.S. dollars in 2026.

The main benefits of AI in the financial services sector

Financial services firms said AI delivered the greatest value through operational efficiencies, according to a 2025 industry survey. Many also pointed to improved employee productivity. Enhanced customer experience ranked as the third most important benefit of AI adoption in the sector.

Adoption across business segments

Agentic AI is shaping up to be one of the defining AI trends in finance in 2026, mirroring growing attention across other industries as well. In banking, adoption was still early in 2025, but experimentation was accelerating: over ** percent of institutions reported piloting agentic AI use cases. That said, deployment remained low in 2025, with just ** percent saying agentic AI was already in use.