AI-Powered Credit Scoring Drives AI in Finance Market Growth at CAGR of 31.5% During the Forecast Period

Global AI in finance market was valued at $18.35 billion in 2025 and is projected to reach $282.2 billion by 2035, growing at a CAGR of 31.5% from 2026 to 2035. Investments in AI-powered credit scoring are rising as financial institutions seek faster, more accurate, and inclusive lending solutions. AI models analyze both traditional and alternative data, such as transaction history, employment, and behavioral signals, to assess credit risk, enabling better predictions of defaults and reducing losses. Companies such as Pagaya Technologies and Upstart use machine learning to underwrite loans efficiently. Further, AI also automates processes, speeds decision-making, and supports regulatory compliance, making credit more accessible and risk management more effective.

Browse the full report description of “AI in Finance Market Size, Share & Trends Analysis by Component (Solution and Services), By Technology (Machine Learning, Natural Language Processing, Computer Vision, Robotics, and Deep Learning), By Application (Customer Relationship Management, Business Analytics and Reporting, Risk Management & Fraud Detection, Credit Scoring & Lending, Quantitative and Asset Management, Regulatory Compliance & Anti-Money Laundering, Wealth & Portfolio Management, Payment & Transaction Analytics, Insurance Underwriting & Claims Processing, and Others) Forecast Period (2026-2035)” at https://www.omrglobal.com/industry-reports/ai-in-finance-market

• In April 2025, Zest AI announced the native integration of its AI-automated underwriting and fraud detection with the Temenos Loan Origination solution. This seamless integration arms traditional financial institutions in the US with sophisticated tools to increase loan approvals while maintaining robust risk management in an increasingly competitive landscape.

• In December 2024, Upstart launched a machine-learning-powered feature that increased instant income verification rates by 34%. The company also ramped up its ability to cross-sell HELOCs to prior borrowers.

• In October 2024, Pagaya Technologies LTD. announced the completion of its acquisition of Theorem Technology, Inc. (“Theorem”). Theorem Technology, Inc. is a machine-learning underwriting technology company that has powered billions of dollars of credit across its network since its founding in 2014.

Thus, these developments highlight how leading fintech and financial technology companies are leveraging AI-powered credit scoring and underwriting solutions to enhance efficiency, expand lending capabilities, and strengthen risk management across the financial sector.

Key Players and Innovations

The key players in the AI in finance market include Amazon Web Services, Inc., International Business Machines Corp., Microsoft Corp., NVIDIA Corp., and Palantir Technologies Inc., among others. For instance, in November 2025, Dost entered the UK market, signaling growing investor appetite for AI-driven back-office transformation across mid-market enterprises.  Globally, the platform has processed over four million accounting transactions and reports, delivering an 80% reduction in administrative costs and accuracy rates above 95%.

Market Coverage

• The market number available for – 2025-2035
• Base year- 2025
• Forecast period- 2026-2035
• Segment Covered-
  • By component
  • By Technology
  • By Application
• Regions Covered-
  • North America
  • Europe
  • Asia-Pacific
  • Rest of the World
• Competitive Landscape - Microsoft Corp., Amazon Web Services, Inc., International Business Machines Corp. (IBM), NVIDIA Corp., and Palantir Technologies Inc.

Key questions addressed by the report.

• What is the market growth rate?
• Which segment and region dominate the market in the base year?
• Which segment and region will project the fastest growth in the market?
• Who is the leader in the market?
• How are players addressing challenges to sustain growth?
• Where is the investment opportunity?

Global AI in Finance Market Report Segment

By Component

• Solution
• Services

By Technology

• Machine Learning
• Natural Language Processing
• Computer Vision
• Robotics
• Deep Learning

By Application

• Customer Relationship Management
• Business Analytics and Reporting
• Risk Management & Fraud Detection
• Credit Scoring & Lending
• Quantitative and Asset Management
• Regulatory Compliance & Anti-Money Laundering
• Wealth & Portfolio Management
• Payment & Transaction Analytics
• Insurance Underwriting & Claims Processing
• Others

Global AI in Finance Market Report Segment by Region

North America

• United States
• Canada

Europe

• UK
• Germany
• Italy
• Spain
• France
• Russia
• Rest of Europe

Asia-Pacific

• China
• India
• Japan
• South Korea
• Australia and New Zealand
• ASEAN Economies
• Rest of Asia-Pacific

Rest of the World

• Latin America
• Middle East & Africa

To learn more about this report request a sample copy @ https://www.omrglobal.com/request-sample/ai-in-finance-market