Fraud Detection and Prevention in BFSI Market Surges to $15.06 billion at a CAGR 14.1% by 2031 | Report by MarketsandMarkets™

Delray Beach, FL , Aug. 14, 2026 (GLOBE NEWSWIRE) -- According to MarketsandMarkets™, the global Fraud Detection and Prevention in BFSI Market is projected to grow from USD 7.78 billion in 2026 to USD 15.06 billion by 2031, registering a CAGR of 14.1% during the forecast period.

The expansion of digital banking, real-time payments, remote onboarding, and digital financial services is increasing exposure to sophisticated fraud schemes. Financial institutions are responding by strengthening fraud prevention with artificial intelligence (AI), machine learning, behavioral analytics, biometrics, and identity intelligence. The market is also shifting from transaction-level fraud detection toward continuous verification of user legitimacy. Identity-centric approaches are becoming increasingly important as fraudsters exploit stolen credentials, synthetic identities, deepfakes, and account takeover techniques.

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Key Market Highlights

• Market size: USD 7.78 billion in 2026
• Projected market size: USD 15.06 billion by 2031
• CAGR: 14.1% during the forecast period
• Largest solution segment: Fraud analytics
• Fastest-growing fraud type: Identity fraud
• Fastest-growing use case: Insurance
• Market coverage: 552 market data Tables and 37 Figures spread through 345 Pages

Why This Market Matters

Financial fraud is becoming harder to detect as banking and payments shift toward digital channels and real-time transactions. Financial institutions are strengthening fraud prevention through behavioral biometrics, identity intelligence, and AI-powered risk assessment. Mastercard’s AI-powered Scam Protect portfolio reflects this shift toward identity-centric security. Advanced analytics can also help reduce false positives while supporting secure, seamless digital experiences.

Market Overview

The Fraud Detection and Prevention in BFSI Market is expanding as financial institutions address increasingly sophisticated fraud across banking, payments, lending, insurance, and digital financial services. AI, machine learning, behavioral analytics, and predictive technologies are strengthening real-time fraud detection and risk assessment. Financial institutions are also integrating fraud prevention with broader risk and identity frameworks, while adopting continuous authentication to monitor user behavior throughout digital interactions.

Analyst Perspective

The Fraud Detection and Prevention in BFSI Market reflects a shift toward real-time, identity-centric fraud prevention as digital transactions become faster and more complex. Financial institutions are using behavioral signals, identity intelligence, and AI-based analytics to distinguish legitimate customers from fraudulent actors. The rise of stolen credentials, synthetic identities, deepfakes, and account takeover techniques is further driving demand for advanced identity fraud prevention. According to TransUnion, suspected digital account takeover fraud increased by 37% between 2024 and 2025, reinforcing the need for stronger identity-centric capabilities.

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Segment Analysis

By solution, fraud analytics accounts for the largest fraud detection and prevention in BFSI market size, driven by the growing need to analyze high-volume financial transactions in real time. Financial institutions are leveraging AI, machine learning, and behavioral analytics to detect anomalous patterns, reduce false positives, and identify sophisticated fraud schemes. The growth of instant payments and digital banking is further increasing demand for continuous risk assessment and actionable fraud insights. SAS Fraud Management supports real-time fraud detection and prevention across multiple payment channels using predictive analytics and machine learning.

By fraud type, identity fraud is expected to grow at the highest CAGR during the forecast period, driven by the rapid adoption of digital banking, remote onboarding, and AI-enabled impersonation attacks. Fraudsters are increasingly exploiting stolen credentials, synthetic identities, deepfakes, and account takeover techniques to bypass traditional authentication. As a result, banks and insurers are strengthening identity verification and continuous authentication through biometrics, behavioral analytics, and AI-based risk assessment.

By use case, the insurance segment is expected to grow at the highest CAGR during the forecast period, driven by rising fraudulent claims, identity theft, and AI-enabled manipulation of documents and images. The digitization of policy issuance and claims processing is increasing fraud exposure, prompting insurers to adopt AI-powered fraud detection, behavioral analytics, and automated claims verification. These technologies can help identify suspicious claims, improve accuracy, reduce investigation time, and manage operational costs. According to the National Insurance Crime Bureau (NICB), insurance fraud linked to identity theft is projected to increase by 49% in 2025, reinforcing demand for advanced fraud prevention solutions.

Regional Analysis

The global Fraud Detection and Prevention in BFSI Market is being driven by the continued digitization of financial services and growing adoption of digital payment ecosystems. Increasing use of digital banking, real-time payments, remote onboarding, and online financial services is strengthening demand for advanced fraud prevention technologies. Financial institutions are also embedding fraud detection capabilities across identity, authentication, payment, and transaction-monitoring infrastructures to address evolving fraud risks.

Key Industry Trends

• AI-driven fraud detection: AI and ML help detect complex fraud patterns beyond traditional methods.
• Behavioral biometrics: Behavioral signals enable continuous authentication and user verification.
• Identity-centric fraud prevention: Identity intelligence helps combat account takeovers, synthetic identities, and deepfakes.
• Real-time risk assessment: Real-time analytics enable faster fraud detection for instant payments and digital banking.
• Digital insurance fraud prevention: Automated analytics help identify suspicious claims, documents, images, and identities.

Competitive Landscape

The Top Companies in Fraud Detection and Prevention in BFSI Market include FIS Global (US), Fiserv (US), TransUnion (US), LexisNexis (US), ACI Worldwide (US), Experian (Ireland), SAS Institute (US), NICE Actimize (US), BioCatch (US), Feedzai (US), RSA Security (US), Equifax (US), SIFT (US), DataVisor (US), IBM (US), GBG (UK), Featurespace (UK), XTN Cognitive (Italy), PIPL (US), JuicyScore (UAE), Amani Technologies (UAE), Cleafy (Italy), Alpha Group (Italy), and FUGU-IT (Israel).

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Report Code: TC 10579 | Published: 29 July 2026 | Report Pages: 300 | Market Data Tables: 350 | Figures: 37