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Insurance Fraud Detection Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The insurance fraud detection market size has experienced significant expansion in recent years. It is anticipated to increase from $9.05 billion in 2025 to $11.32 billion in 2026, achieving a compound annual growth rate (CAGR) of 25.1%. The growth witnessed in the past can be attributed to an increasing volume of digital insurance transactions, a rising frequency of fraudulent claims, the wider availability of online insurance channels, intensified regulatory scrutiny, and the adoption of data-driven fraud prevention tools.
The insurance fraud detection market is projected to experience substantial growth in the coming years. This market is forecast to reach $27.66 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 25.0%. This anticipated expansion during the forecast period stems from factors such as heightened investments in AI-powered fraud detection solutions, a surge in the need for real-time fraud analytics, the proliferation of cloud-based fraud platforms, an intensified focus on preventing cross-channel fraud, and the broader integration of sophisticated authentication technologies. Key developments expected within the forecast timeframe involve the increasing implementation of predictive fraud analytics, a growing adoption of identity verification technologies, the wider incorporation of AI-based detection engines, the expansion of systems for real-time fraud monitoring, and an intensified emphasis on adhering to regulatory compliance.
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#Insurance Fraud Detection Market Growth Factors: Which Forces Are Supporting Market Expansion?
The growing prevalence of insurance deception is anticipated to drive the expansion of the insurance fraud detection market in the future. This type of fraud entails intentionally misleading an insurance provider, frequently by submitting exaggerated or completely fabricated claims to illegally acquire funds or coverage, thereby imposing costs on ethical policyholders and insurers. Technologies designed for fraud detection assist in identifying and preventing such schemes by analyzing relevant data, recognizing irregularities, and highlighting questionable behaviors. As an example, in June 2023, the Insurance Fraud Enforcement Department (IFED) of the City of London Police, a US-based specialist police unit, documented a 61 % rise in opportunistic insurance-fraud incidents during the timeframe of March 2022 to April 2023 when contrasted with the previous period. Consequently, the escalation in numerous instances of insurance fraud is fueling the expansion of the insurance fraud detection market.
Insurance Fraud Detection Market Segmentation Trends And Revenue Drivers
The insurance fraud detection market covered in this report is segmented –
1) By Component: Solution, Services
2) By Organization Size: Small And Medium-Sized Enterprises (SMEs), Large Enterprises
3) By Deployment Type: On-Premises, Cloud
4) By Application: Claims Fraud, Identity Theft, Payment And Billing Fraud, Money Laundering
5) By End User: Insurance Companies, Agents And Brokers, Insurance Intermediaries, Other End Users
Subsegments:
1) By Solution: Fraud Analytics, Authentication Solutions, Governance, Risk, and Compliance (GRC) Solutions, Identity Verification Solutions, Predictive Analytics
2) By Services: Managed Services, Professional Services, Consulting Services, Training and Support Services, System Integration Services
#Insurance Fraud Detection Market Growth Trends: What Is Influencing The Future Outlook?
Leading companies in the insurance fraud detection market are concentrating on creating sophisticated solutions, such as artificial intelligence (AI)-powered fraud detection tools, to boost the accuracy of claim monitoring, decrease false positives, and refine the identification of deceptive activities. These artificial intelligence (AI)-powered fraud detection tools signify advanced systems that leverage artificial intelligence and extensive datasets to pinpoint suspicious patterns, trigger alerts, and assist investigators in precisely uncovering potential fraud. For instance, in June 2024, Clara Analytics Inc., a US-based software company, introduced CLARA Fraud, an AI-driven fraud detection solution that utilizes vast workers’ compensation datasets to sharpen insight into questionable claims. This solution offers data-supported justifications for Special Investigation Unit (SIU) referrals and empowers claims professionals to confidently examine fraud, exposing fraudulent actions across millions of claims while simultaneously reducing false positives.
#Insurance Fraud Detection Market Industry Leaders: Which Organizations Are Driving Competition?
Major companies operating in the insurance fraud detection market are ACI Worldwide Inc.; BAE Systems PLC; BRIDGEi2i Analytics Solutions Pvt. Ltd.; Datawalk Inc.; DXC Technology Co.; Experian PLC; Fair Isaac Corp.; Fiserv Inc.; FRISS Inc.; International Business Machines Corporation; iovation Inc.; Kount Inc.; RELX Group; Oracle Corp.; SAP SE; SAS Institute Inc.; Scorto Inc.; TransUnion LLC; Wipro Ltd.; Accenture plc; Equifax Inc.; Perceptiviti Inc.; Shift Technology S.A.; Verisk Analytics Inc.; Mody Data Solution Pvt. Ltd.; Pixalate Inc.; Skopenow Inc.; Sigma Insights Inc.; Fraud Guard LLC
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Insurance Fraud Detection Market Regional Distribution: Which Areas Drive Market Expansion?
North America was the largest region in the insurance fraud detection market in 2025.Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the insurance fraud detection 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.