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AI In Fraud Management Market Size Forecast: How Big Could The Market Get By 2030?
The AI in fraud management market has seen substantial expansion in recent years. Its valuation is set to climb from $15.53 billion in 2025 to $18.48 billion in 2026, indicating a compound annual growth rate (CAGR) of 19.1%. This market’s historical growth can be attributed to several factors including reliance on manual fraud detection methods, an escalation in financial fraud cases, a surge in digital transactions, the expansion of banking and financial services, and the adoption of fundamental analytics tools.
The AI in fraud management market size is projected to experience substantial expansion in the coming years. It is set to reach $37.27 billion in 2030, demonstrating a compound annual growth rate (CAGR) of 19.2%. This anticipated growth during the forecast period is fueled by several factors, including ongoing advancements in machine learning algorithms, the integration of artificial intelligence with various payment platforms, increasing investments in fraud prevention solutions, the expansion of cloud-based fraud detection systems, and stricter regulatory compliance requirements. Key developments anticipated within this timeframe involve real-time fraud detection capabilities, predictive risk scoring, automated transaction monitoring, AI-based identity verification, and the proliferation of managed fraud detection services.
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AI In Fraud Management Market Growth Factors Behind Sustained Expansion
The increasing adoption of digital payments and international transactions is projected to drive the expansion of AI in the fraud management market. Digital payments are defined as monetary transactions conducted electronically via mobile devices, computers, or other connected platforms, enabling secure, cashless, and real-time transfers between individuals and businesses. The rising prevalence of digital payments and cross-border transactions is attributed to growing convenience, accessibility, and the expansion of fintech platforms and global e-commerce. The AI in the fraud management market supports this growth by utilizing intelligent algorithms and predictive analytics to identify, monitor, and prevent fraudulent activities within extensive financial ecosystems, thereby ensuring transaction integrity and user trust. For example, in September 2025, JPMorgan Chase & Co., a US-based investment banking company, stated that it moves over $10 trillion daily on 60 million transactions across more than 200 countries and territories in 120 currencies, achieving a 99.5% straight-through processing (STP) rate. Therefore, the growing popularity of digital payments and cross-border transactions is a key driver for the AI in the fraud management market.
AI In Fraud Management Market Segment Performance And Emerging Opportunities
The AI in fraud management market covered in this report is segmented –
1) By Solution: AI-Powered Fraud Prevention Software, Services
2) By Enterprise Size: Small And Medium Enterprises (SMEs), Large Enterprises
3) By Application: Identity Theft Protection, Payment Fraud Prevention, Anti-Money Laundering, Other Applications
4) By Industry: Banking, Financial Services And Insurance, IT And Telecom, Healthcare, Government, Education, Retail And Consumer packaged goods (CPG), Media And Entertainment, Other Industries
Subsegments:
1) By AI-Powered Fraud Prevention Software: Real-Time Transaction Monitoring, Fraud Detection And Analysis Tools, Risk Scoring And Assessment Solutions
2) By Services: Consulting Services, Implementation Services, Training And Support Services, Managed Fraud Detection Services
AI In Fraud Management Market Industry Trends Fueling Future Revenue Growth
Major companies in the AI fraud management market are concentrating on advancing technologies, such as generative AI-powered fraud solutions, to strengthen real-time defenses against increasingly sophisticated financial and identity-based fraud. Generative AI-enabled fraud solutions utilize generative artificial intelligence (AI) models to detect and counteract fraudulent behavior by simulating potential attack patterns, identifying anomalies, and adapting instantly to emerging threats. For instance, in October 2023, DataVisor, a US-based fraud and risk detection software company, launched AI Co-Pilot, a generative AI-driven fraud management solution designed to automate fraud detection, reduce false positives, and minimize user friction. The system leverages generative AI to assist analysts by automatically creating and refining detection rules, generating and debugging feature scripts, and providing descriptive insights into identified anomalies. This innovation empowers financial institutions and digital platforms to enhance fraud prevention strategies, maintain seamless customer experiences, and improve overall operational resilience against evolving cyber threats.
AI In Fraud Management Market Key Players: Which Companies Lead Industry Competition?
Major companies operating in the AI in fraud management market are Trusteer; Hewlett Packard Enterprise; BAE Systems plc; Capgemini SE; Cognizant Technology Solutions India Private Limited; SAS Institute Inc.; Splunk Inc.; Temenos AG; Shift Technology SAS; Riskified Ltd.; NICE Actimize Inc.; Jumio Corp.; Onfido Ltd.; Subex Limited; BehavioSec Inc.; Arxan Technologies Inc.; Socure Inc.; ACTICO GmbH; BioConnect Inc.; Matellio Inc.; MaxMind Inc.; Zest AI Inc.; Chargeback.com Inc.; Brighterion Inc.
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AI In Fraud Management Market Regional Analysis: Which Geography Leads On Revenue?
North America was the largest region in the AI in fraud management market in 2025. The regions covered in the AI in fraud management market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
