The Predictive Analytics 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 global predictive analytics in banking market has seen substantial growth recently. The market size, which was $3.84 billion in 2024, is expected to increase to $4.64 billion in 2025, demonstrating a Compound Annual Growth Rate (CAGR) of 21.0%.
The Predictive Analytics in Banking Global Market is projected to reach a market size of $9.85 billion in 2029, growing at a compound annual growth rate (CAGR) of 20.7%.
Download Your Free Sample of the 2025 Predictive Analytics in Banking Market Report and Uncover Key Trends Now!The key drivers in the predictive analytics in banking market are:
•The incorporation of artificial intelligence and machine learning in banking
•Increased reliance on big data and real-time analytics
•Regulatory pressures and the need for compliance in the banking sector
•Rising customer expectations for personalized services and enhanced cybersecurity and fraud prevention measures
The predictive analytics in banking market covered in this report is segmented –
1) By Type: Marketing, Sales, Finance, Human resource, Operations
2) By Component: Solution, Services
3) By Deployment Model: On-Premise, Cloud
4) By Application: Small And Medium Enterprises (SMES), Large Enterprises
Subsegments:
1) By Marketing: Customer Segmentation And Targeting, Campaign Management And Optimization, Customer Lifetime Value Prediction, Churn Prediction and Retention Strategies, Market Trend Analysis, Brand Sentiment Analysis
2) By Sales: Lead Scoring and Opportunity Management, Sales Forecasting And Trend Analysis, Cross-Selling And Up-Selling Strategies, Sales Performance Optimization, Conversion Rate Prediction, Territory Management
3) By Finance: Credit Scoring And Risk Assessment, Fraud Detection And Prevention, Financial Forecasting and Budgeting, Loan Default Prediction, Asset Management And Investment Analysis, Regulatory Compliance Analytics
4) By Human Resource: Employee Attrition Prediction, Talent Acquisition And Recruitment Optimization, Workforce Planning And Optimization, Employee Performance Analytics, Learning and Development Needs Prediction, Compensation And Benefits Analysis
5) By Operations: Process Efficiency Optimization, Operational Cost Prediction And Management, Resource Allocation And Scheduling, Transaction Monitoring And Anomaly Detection, Supply Chain Management Optimization, Automation Of Operational Tasks
The key trends in the predictive analytics in banking market are:
•Integration of AI and machine learning is becoming a major trend in predictive analytics for banking.
•Real-time predictive analytics is increasingly being used for instant decision-making.
•There is an intensified focus on cybersecurity and fraud prevention for predictive banking analytics.
•Regulatory compliance and risk management have become a significant part of the trend.
Major players in the predictive analytics in banking market are:
• Microsoft Corporation
• Amazon Web Services Inc.
• International Business Machines Corporation
• Oracle Corporation
• SAS Institute Inc.
• Turing Analytics
• Databricks Inc.
• Alteryx Inc.
• H2O.ai
• EdgeVerve Systems Limited
• Google Cloud
• Dataiku
• Datarobot Inc.
• Feature Labs
• KNIME
• Altair Engineering Inc.
• Rasa
• Peltarion
• Auger.AI
• BigML
• Big Squid Inc
• dotData Inc.
• Determined.ai Inc.
• Turi
North America was the largest region in the predictive analytics in banking market in 2024