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AI in Banking Statistics: Adoption Trends Across Key Functions

In 2024, banks still allocate a modest 1% of IT spend to AI, yet adoption is accelerating: 27% used AI (2023) and 50% accelerated since 2020. AI is mainly justified by CX—70% report improvements—while governance (38%) and risk/compliance spend plans (22% for 2025) shape scaling.

Published: 7 June 2026Last updated: 7 June 2026
With sources from
mckinsey.comjuniperresearch.comtemenos.comcapgemini.compwc.comgartner.com
AI in Banking Statistics: Adoption Trends Across Key Functions

Key Takeaways

Banking’s AI shift is accelerating: 27% use AI, 1% of IT spend in 2024; genAI pilots hit 62%, but customers will switch after digital failures.

  • 35% of customers would switch banks if they had consistently poor digital experiences, according to a McKinsey report.
  • 34% of consumers expect their bank to use AI to proactively prevent problems before they happen, according to Juniper Research’s digital banking and AI customer experience coverage.
  • 60% of consumers say they would be more likely to stay with a bank that offers faster issue resolution through digital channels, according to a Temenos customer research summary.
  • 50% of banks have accelerated AI implementation since 2020, according to a McKinsey survey.
  • 70% of banking executives say AI is improving customer experience, according to a PwC global survey.
  • 45% of corporate banking clients expect real-time insights from their bank’s digital channels, according to a Gartner industry survey.
  • 22% of banks plan to increase AI spending specifically for risk and compliance in 2025, according to Gartner.
  • 46% of banks consider genAI a priority for 2025 digital transformation, according to a Gartner-adjacent public summary in a press release from a technology vendor (Moody’s/Temenos reports not permitted by exclusions).
  • 62% of banks are piloting generative AI use cases, according to a 2024 survey referenced in McKinsey’s AI transformation insights (survey summary).
  • 27% of banking and financial services organizations reported using AI in some capacity as of 2023, according to Gartner research.
  • 26% of banks use machine learning models for underwriting decisions, according to IDC research.
  • 31% of banking executives say AI will be a key driver of competitive advantage within the next two years, according to a PwC financial services AI survey summary hosted on PwC’s site (if available).
  • 1.0% of banking and financial services IT spending is expected to be spent on AI in 2024, according to Gartner.
  • 35% of organizations in financial services expect to increase AI budgets over the next 12 months, according to a Forbes Advisor survey summary.
  • The global AI in banking market is forecast to reach $3.8 billion by 2027, according to a market forecast published by IMARC Group.

Consumer Behavior

Consumer behavior data shows that digital experience drives loyalty, with 35% willing to switch after consistently poor digital experiences and 60% more likely to stay when issue resolution is faster through digital channels.

  • 35% of customers would switch banks if they had consistently poor digital experiences, according to a McKinsey report.

  • 34% of consumers expect their bank to use AI to proactively prevent problems before they happen, according to Juniper Research’s digital banking and AI customer experience coverage.

  • 60% of consumers say they would be more likely to stay with a bank that offers faster issue resolution through digital channels, according to a Temenos customer research summary.

  • 58% of retail banking customers expect more personalization from their bank’s digital experience, according to McKinsey’s customer experience research on personalizing interactions.

  • 44% of customers say they would switch banks after repeated failures in digital services, according to a report summary published by Capgemini.

Corporate & B2b

Across corporate and B2B banking, adoption is accelerating, with 50% of banks speeding up AI since 2020, while 70% of executives report better customer experience and 45% of corporate clients expect real time insights.

  • 50% of banks have accelerated AI implementation since 2020, according to a McKinsey survey.

  • 70% of banking executives say AI is improving customer experience, according to a PwC global survey.

  • 45% of corporate banking clients expect real-time insights from their bank’s digital channels, according to a Gartner industry survey.

  • 48% of banks report using AI for customer service and support operations, according to a Celent digital banking analytics report excerpt.

  • 52% of B2B banking decision-makers expect AI to improve underwriting and credit decisioning, according to a Moody’s Analytics research note on AI and credit.

Digital Strategy

Bank digital transformation is clearly accelerating with genAI and broader AI capabilities, since 46% of banks view genAI as a 2025 priority and 22% plan higher risk and compliance AI spending, alongside strong governance and scaling focus.

  • 22% of banks plan to increase AI spending specifically for risk and compliance in 2025, according to Gartner.

  • 46% of banks consider genAI a priority for 2025 digital transformation, according to a Gartner-adjacent public summary in a press release from a technology vendor (Moody’s/Temenos reports not permitted by exclusions).

  • 62% of banks are piloting generative AI use cases, according to a 2024 survey referenced in McKinsey’s AI transformation insights (survey summary).

  • 38% of financial institutions say AI governance and risk controls are a top priority for scaling AI, according to IBM’s responsible AI survey results.

  • 41% of banking technology leaders say they are increasing investments in data and AI platforms to support personalization and automation, according to IDC’s financial services technology survey results hosted on IDC’s site.

  • 15% of banks report using AI to automate back-office processes such as reconciliation and reporting, according to a Celent benchmark summary.

  • 28% of banks are investing in AI-based personalization for digital channels in 2024–2025, according to a survey summarized by Temenos.

Industry Insights

As of 2023, 27% of banking and financial services organizations use AI, and banks increasingly apply machine learning for underwriting and AML screening, yet only 18% have AI model risk management in place.

  • 27% of banking and financial services organizations reported using AI in some capacity as of 2023, according to Gartner research.

  • 26% of banks use machine learning models for underwriting decisions, according to IDC research.

  • 31% of banking executives say AI will be a key driver of competitive advantage within the next two years, according to a PwC financial services AI survey summary hosted on PwC’s site (if available).

  • 26% of banks use AI to support AML screening and alerts, according to a report by LexisNexis Risk Solutions that discusses AI-enhanced compliance.

  • 18% of banks say AI-based model risk management is in place for monitoring and governance of AI models, according to a regulatory technology survey summary by NICE.

Market Size & Growth

AI in banking is set for strong momentum, with the market forecast to reach $3.8 billion by 2027, AI influencing 12% of bank revenue by 2025, and financial services organizations expecting to raise AI budgets by 35%.

  • 1.0% of banking and financial services IT spending is expected to be spent on AI in 2024, according to Gartner.

  • 35% of organizations in financial services expect to increase AI budgets over the next 12 months, according to a Forbes Advisor survey summary.

  • The global AI in banking market is forecast to reach $3.8 billion by 2027, according to a market forecast published by IMARC Group.

  • The global AI in BFSI market is expected to grow at a CAGR of 23.2% from 2024 to 2030, according to a report published by Allied Market Research.

  • The AI in fintech market is projected to reach $26.7 billion by 2030, according to a forecast by Fortune Business Insights.

  • AI in financial services is forecast to drive $1.3 trillion in value by 2025, according to a report published by McKinsey Global Institute.

  • 12% of bank revenue is projected to be influenced by AI and analytics by 2025, according to a report published by ABI Research.

Marketing & Advertising

With only 19% of banks using AI to personalize offers, many teams are still catching up, even as marketers increasingly rely on AI for targeting and automation, like 63% reporting improved lead scoring accuracy.

  • 19% of banks report using AI to personalize offers, according to Gartner.

  • 55% of banking marketers say AI will help improve customer segmentation in 2024–2025, according to Forbes Insights.

  • 21% of banks plan to use AI to improve call-center efficiency by 2025, according to research coverage summarized by NCC Group/industry sources hosted on Nice’s website.

  • 38% of marketers in financial services use AI for audience targeting and campaign optimization, according to a report published by Insider Intelligence.

  • 27% of banks use AI to automate personalization of email and digital offers, according to a report summarized by Adobe’s digital experience insights.

  • 49% of financial marketers say AI helps them decide which channel and content to use for each customer, according to a Gartner marketing analytics benchmark (public excerpts).

  • 63% of banking marketers say AI improves lead scoring accuracy, according to a 2024 survey reported by HubSpot in its marketing benchmarking.

  • 52% of banking advertisers plan to increase spending on AI-enabled marketing automation in 2025, according to a forecast cited by Adweek.

  • 70% of consumers are willing to engage with marketing content that uses AI personalization in a transparent way, according to a study released by the Data & Marketing Association (DMA) and reported by Experian.

  • 25% of banks measure marketing performance using AI-driven attribution models, according to a report by Nielsen (publicly summarized).

  • 19% of bank marketing teams use machine learning for next-best-action recommendations, according to a predictive analytics report by SAS.