The Generative Artificial Intelligence (AI) In Banking Market Overview 2025 report reveals that the market size has grown significantly over the past few years, with projections indicating further expansion.
The generative AI in banking sector has witnessed impressive expansion in the past few years. The market size is set to increase from $1.16 billion in 2024 to $1.44 billion in 2025, showing a Compound Annual Growth Rate (CAGR) of 24.1%.
The Generative Artificial Intelligence (AI) in banking market is expected to reach $3.39 billion by 2029, growing at a compound annual growth rate (CAGR) of 23.9%.
Download Your Free Sample of the 2025 Generative Artificial Intelligence (AI) In Banking Market Report and Uncover Key Trends Now!The key drivers in the generative artificial intelligence (ai) in banking market are:
•Automation of banking processes
•Demand for fraud detection mechanisms
•Expansion of digital banking services
•Increasing requirements for operational efficiency and focus on enhanced customer experience
The generative artificial intelligence (AI) in banking market covered in this report is segmented –
1) By Technology: Natural Language Processing, Deep Learning, Reinforcement Learning, Generative Adversarial Networks, Computer Vision, Predictive Analytics
2) By Deployment Model: Cloud Deployment, On-Premises Deployment, Hybrid Deployment
3) By End-User: Retail Banking Customers, Small And Medium Enterprises, Investment Professionals, Compliance And Risk Management Teams, Operations And Process Optimization, Executives And Decision Makers
Subsegments:
1) By Natural Language Processing (NLP): Chatbots And Virtual Assistants, Sentiment Analysis For Financial Markets, Document And Contract Analysis, Speech Recognition For Customer Service
2) By Deep Learning: Fraud Detection And Prevention, Credit Scoring And Risk Assessment, Predictive Analytics For Investment, Customer Behavior Analysis
3) By Reinforcement Learning: Algorithmic Trading, Portfolio Management And Optimization, Dynamic Pricing Models, Personalized Financial Services
4) By Generative Adversarial Networks (GANs): Synthetic Data Generation For Training Models, Fraud Detection And Risk Management, Customer Data Augmentation For Personalization, Market Simulation And Analysis
5) By Computer Vision: Document Verification And Processing, ATM Surveillance And Security, Image-Based Fraud Detection, Visual Data Extraction For Financial Analysis
6) By Predictive Analytics: Risk Assessment And Management, Credit Scoring And Loan Default Prediction, Customer Churn Prediction, Market Trend Forecasting
The key trends in the generative artificial intelligence (ai) in banking market are:
•The integration of generative AI in mobile banking applications is an emerging trend.
•The demand for personalized financial services powered by AI is on the rise.
•AI-based risk management is another major trend that is shaping the future of the market.
•The use of AI-driven chatbots and AI-powered investment tools are also significant emerging trends.
Major players in the generative artificial intelligence (ai) in banking market are:
• Google LLC
• Microsoft Corporation
• Amazon Web Services (AWS) Inc.
• Accenture plc
• International Business Machines Corporation (IBM)
• Oracle Corporation
• SAP SE
• Tata Consultancy Services (TCS) Ltd.
• Nvidia Corporation
• Salesforce Inc.
• Capgemini SE
• Cognizant Technology Solutions Corporation
• Infosys Limited
• Finastra Group Holdings Limited
• Pegasystems Inc.
• Temenos AG
• C3.ai Inc.
• Clari Inc
• DataRobot Inc.
• Aisera
• Kasisto Inc.
North America was the largest region in the generative artificial intelligence (AI) in banking market in 2024