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Insurance Fraud Detection Market Size, Growth Report, 2026-2033GVR Report cover
Insurance Fraud Detection Market (2026 - 2033)
Size, Share & Trends Analysis Report By Component (Solutions, Services), By Deployment (Cloud, On-Premise), By Organization, By Region, And Segment Forecasts
Market Size, 2025
$6.9BMarket Estimate, 2026
$8.5BMarket Forecast, 2033
$41.0BCAGR, 2026–2033
25.2%Insurance Fraud Detection Market Summary
The global insurance fraud detection market size was valued at USD 6.9 million in 2025 and is projected to grow from USD 8.5 million in 2026 to USD 41.0 million in 2033, at a CAGR of 25.2% from 2026 to 2033. North America dominated the market, accounting for a revenue share of 50.0% in 2025. Key factors influencing the growth of this industry include organizations' rising focus on enhanced customer experience, improved operational efficiency, effective identity management, adoption of advanced analytics, and regulatory compliance. Moreover, the growing adoption of technologies such as Artificial Intelligence (AI), big data, machine learning, and the Internet of Things (IoT) has heightened vulnerability to cyberattacks and fraud, which is expected to drive an upsurge in demand for this industry.
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Key Market Trends & Insights
- By component: The solutions segment dominated the market, accounting for a revenue share of over 60.0% in 2025.
- By deployment: The on-premise deployment held the largest revenue share of the global industry in 2025.
- By organization: The large organization segment dominated the global market for insurance fraud detection in 2025.
Regional Highlights
- Largest regional market: North America (Approximately 50.0% revenue share, 2025)
Market Size & Forecast
- Market size in 2025: USD 6.9 Billion
- Estimated market size in 2026: USD 8.5 Billion
- Projected market size by 2033: USD 41.0 Billion
- CAGR (2026-2033): 25.2%
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What the study covers
- FormatsPDF · Excel · Dashboard
- Timeline2026–2033 annual, 2025 base
- Coverage20+ countries, 5 regions
- Companies10+ key players profiled
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Companies that rely on traditional fraud detection systems may struggle to keep up with modern tactics used to evade standard security measures. This challenge has created an urgent demand for efficient, technologically advanced fraud detection solutions. According to the U.S. Department of Justice and the Federal Bureau of Investigation, the annual cost of fraud in the insurance industry is estimated at more than USD 40 billion.
Insurance companies are actively seeking new methods to enhance their fraud detection capabilities rather than relying on outdated approaches. In particular, analytics for fraud detection, model-based tools, and machine learning have the potential to reduce fraudulent activity significantly. As the number of identified fraud cases continues to rise, these advanced solutions are expected to provide a competitive advantage in the fraud detection sector.
Moreover, insurance companies are increasingly focusing on digital platforms to launch new products, strengthen consumer relationships, and expand their clients' financial portfolios. This shift has led to the enhanced implementation of advanced threat detection solutions. To combat the challenges posed by sophisticated fraud tools, many organizations and agencies are adopting innovative fraud-detection solutions and robust systems equipped with cutting-edge technology.
In addition, companies are investing in targeted training initiatives to raise awareness of recently employed deceptive practices in fraud. However, effective training for managers and staff requires support from improved security systems and threat detection technologies, which are anticipated to drive growth in this industry during the forecast period.
Analyst Perspective
The insurance fraud detection market is shifting from rule-based detection methods to intelligent, data-driven decision-making. As fraud schemes become more sophisticated, insurers are investing in AI, analytics, and automation to identify suspicious claims earlier and reduce financial losses without affecting the customer experience. This is creating opportunities for technology providers that can deliver accurate risk assessment, real-time monitoring, and seamless integration with existing claims platforms. Companies with strong analytical capabilities, industry expertise, and proven fraud detection accuracy are likely to strengthen their market position. Over time, competitive advantage will depend on the ability to adapt to evolving fraud patterns, minimize false positives, and help insurers improve both operational efficiency and claims integrity.
Component Insights
By component, the solutions segment dominated the market, accounting for over 60.0% of revenue in 2025. This segment's growth is primarily driven by the increasing adoption of fraud detection software, which helps reduce false claims, deter fraud in insurance processes, and enable quick responses to suspected fraud. Factors such as availability, installation assistance, company-provided training, and user-friendliness significantly contribute to this segment's expansion. Insurance companies are implementing authentication solutions to enhance secure communication between customers and the companies. Consequently, authentication is expected to add an extra layer of security by confirming payments and account modifications, sending authentication messages, and obtaining customer consent regarding policies.
By leveraging advanced technologies such as artificial intelligence, machine learning, anomaly detection, and automated business processes, organizations can identify questionable actions, recognize intricate trends, and reveal hidden connections throughout the claims process. This enables companies to gain a comprehensive understanding of fraud risk.
The services segment is projected to experience the fastest CAGR during the forecast period. Insurance companies are expected to explore innovative approaches to tackle emerging challenges in an increasingly fraudulent environment. This is due to the rising incidence of data manipulation, fake beneficiary registrations for opening insurance policies, and premium skimming. To combat such fraud, insurance organizations are seeking end-to-end service offerings in the market. The professional services sector provides consulting, training, support, and maintenance services tailored to help customers identify and mitigate fraud risks. Vendors offer consultants with extensive expertise in various types of fraud, providing detailed knowledge of potential threats, processes to prevent fraud, in-depth analysis of precedents, and valuable insights. These offerings have significantly helped many companies reduce their fraud risk. As a result, demand for this segment is expected to grow in the coming years.
Deployment Insights
The on-premises deployment accounted for the largest revenue share of the global industry in 2025. On-premises fraud detection solutions immediately assist businesses in identifying and alerting to potential fraud. The vendors provide a rule-based system, a predictive behavioral scoring model, or both to detect threat patterns. For instance, FICO Falcon Fraud Manager 6.5.2 protects customer data, enhances customer experience, and avoids losses. Nevertheless, automated systems, combined with manual intervention, are necessary to analyze certain reports within the organization. Therefore, businesses mainly depend on on-site solutions rather than cloud-based services.
Cloud deployment is expected to experience the fastest CAGR over the forecast period. As insurance companies shift towards digital transformation, many are predicted to embrace a fraud detection model based on software-as-a-service. The information these companies store in the cloud offers flexibility and scalability to enhance operations. Therefore, affordable, easily implementable detection solutions that aid maintenance are expected to drive industry growth over the forecast period. Furthermore, increased security features, combined with advances in cloud technology, are expected to boost growth in the segment during the forecast period.
Organization Insights
The large organization segment dominated the global market for insurance fraud detection in 2025. The emergence of Artificial intelligence (AI) and predictive analytics has transformed the future of numerous industries, providing substantial competitive benefits to organizations that utilize these advancements. Therefore, the increasing incidence of fraud, such as damage claims, car theft, unnecessary processes, and false health insurance billing, has necessitated that insurers implement cutting-edge solutions to combat such deceptive practices. The ability of large organizations to invest more resources in technological support, employee training, risk management, and fraud-detection services also plays an important role in the growth of this segment.
SMB (Small and Medium Businesses) is anticipated to experience the fastest CAGR over the forecast period. These companies generally provide a reasonable amount of insurance coverage to their clients. A limited amount of funds allocated to fraud detection, a comparatively smaller pool of customers, and greater vulnerability and exposure to potential fraud due to the absence of advanced technology tools with unmatched features are key growth drivers for this segment. In addition, a lack of in-house staff or teams dedicated to fraud detection also creates a need for professional services and solutions offered by specialist organizations operating in this industry.
Regional Insights
North America dominated the market, accounting for a revenue share of 50.0% in 2025. The presence of organizations such as FICO, IBM, Oracle, and others has a major influence on this market. Moreover, strict regulatory demands and a rising number of frauds are necessitating the adoption of insurance fraud solutions. Insurance companies are investing in cutting-edge technologies such as machine learning, artificial intelligence, and big data analytics to counter evolving fraud risks. Moreover, partnerships between insurance firms and tech companies foster creativity and the development of customized solutions to address fraud issues unique to North America's diverse insurance market. For instance, in April 2024, NICE Actimize launched IFM 11 (Integrated Fraud Management), an upgraded AI-powered fraud management platform that leverages collective intelligence, advanced analytics, and generative AI to improve fraud detection accuracy and enable real-time fraud prevention. The platform enhances fraud detection, investigations, and case management across financial services, including insurance fraud prevention applications.
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U.S. Insurance Fraud Detection Market Trends
The U.S. insurance fraud detection market dominated the regional industry in 2025. The growth of this market is primarily driven by rising cases of insurance fraud, growing technology adoption that increases threats, and the ease-of-use features offered by service and solutions providers. Moreover, the companies are collaborating with insurance organizations to improve customer experiences. For instance, in May 2025, Shelter Insurance deployed Shift Technology’s AI-powered Shift Claims Fraud solution to strengthen fraud detection across its auto and property insurance claims. The machine learning-based platform improves the identification of suspicious claims, reduces false positives, and accelerates investigations through AI-driven decision support, enabling faster and more accurate fraud detection.
Europe Insurance Fraud Detection Market Trends
Europe insurance fraud detection market was identified as a lucrative region in 2025. The prominent insurance fraud detection market includes the UK, Germany, and France, propelled by stringent regulatory requirements and the growing adoption of digital insurance processes. Moreover, rising concerns about cyberattacks driven by the rapid adoption of technologies such as AI, machine learning, and cloud computing are driving demand for insurance fraud detection solutions. According to the Munich Re Cyber Risk and Insurance Survey 2024, 34% of global decision-makers are extremely concerned about potential cyber-attacks.
The UK insurance fraud detection market is expected to grow rapidly in the coming years. The projected growth is attributed to stringent data protection regulations such as the General Data Protection Regulation (GDPR). Compliance with GDPR mandates requires organizations to implement robust fraud detection solutions to protect sensitive data from unauthorized access and breaches. This regulatory environment compels businesses to invest in comprehensive insurance fraud detection solutions to ensure data security and legal compliance, thereby driving market growth. For instance, in March 2024, Verisk expanded its insurance fraud detection ecosystem through strategic partnerships with FRISS and Globlue Technologies, integrating both companies with its ClaimSearch platform. The collaborations enhance fraud detection, identity analytics, and investigative capabilities through advanced scoring, real-time data integration, and AI-driven analytics, strengthening insurers' ability to identify and prevent fraudulent claims.
Asia Pacific Insurance Fraud Detection Market Trends
The Asia Pacific insurance fraud detection market is anticipated to experience the fastest CAGR during the forecast period. Companies in the region are being proactive by implementing advanced technologies to reduce insurance fraud. Moreover, increased investment in improved techniques for managing and processing claims to ensure customer satisfaction and loyalty is expected to boost regional growth. Furthermore, growing expertise in fraud detection techniques is expected to drive demand for such solutions. Moreover, the growing life insurance industry in a country such as India necessitates that organizations implement insurance fraud detection solutions to mitigate risks.
The China insurance fraud detection market held a substantial market share in 2025. The rising awareness of insurance fraud detection solutions among small, medium, and large organizations in the region is driving market growth. The insurance fraud detection industry in the country is expected to grow strongly, driven by the increasing digitization of insurance operations and the rising incidence of fraud in insurance processes. In addition, the entry of multiple organizations offering solutions and services for insurance fraud detection is projected to drive further growth in this market in the coming years. For instance, in 2024, Guidewire extended its collaboration with Shift Technology to incorporate AI-driven fraud detection features into insurance processes, enhancing fraud detection and claims-handling efficiency.
Key Insurance Fraud Detection Market Company Insights
Some of the key companies in the insurance fraud detection market include FICO, DXC Technology Company, FRISS, LexisNexis Risk Solutions, Oracle, and others. To address growing competition in the industry, key market participants have adopted strategies such as enhanced research and development, embracing technological innovations, new product and service launches, collaborations with other organizations, and mergers & acquisitions.
- FICO, one of the prominent analytics and software companies, offers a wide range of products and solutions to businesses in more than 90 countries worldwide. The company solutions are associated with application fraud, application risk models, card fraud, collections & recovery, consumer credit scores, insurance scores, scam protection, and more.
- LexisNexis Risk Solutions, a prominent company, offers sophisticated fraud prevention solutions designed for insurance providers, employing advanced analytics and data to identify and prevent fraud in companies. The company portfolio includes ThreatMetrix for Insurance, InstantID Q&A for Insurance, LexisNexis Fraud Defense Network, and more.
Key Insurance Fraud Detection Companies
The following key companies have been profiled for this study on the insurance fraud detection market:
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International Business Machines Corporation (IBM)
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SAS Institute Inc.
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Fair Isaac Corporation (FICO)
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LexisNexis Risk Solutions Inc. (RELX Group business)
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Oracle Corporation
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Capgemini SE
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DXC Technology Company
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FRISS B.V.
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BAE Systems plc
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Experian Information Solutions, Inc.
Recent Developments
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In November 2025, FICO partnered with GFT Technologies to deploy AI-driven fraud detection and real-time decisioning solutions for insurers and financial institutions. The collaboration aims to strengthen fraud prevention by enabling earlier detection of fraudulent activities across the customer lifecycle.
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In September 2025, Shift Technology introduced its generative AI-powered fraud detection solution to Tokio Marine & Nichido Fire Insurance. The platform uses multimodal AI to analyze images, documents, and structured claims data, improving fraud detection accuracy and streamlining claims processing.
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In July 2025, Experian invested in Resistant AI to strengthen its fraud detection portfolio with AI models capable of identifying document fraud, identity manipulation, and synthetic identities across financial services and insurance applications.
Insurance Fraud Detection Market Report Scope
Report Attribute
Details
Market size in 2025
USD 6.9 billion
Estimated market size in 2026
USD 8.5 billion
Projected market size by 2033
USD 41.0 billion
Growth rate
CAGR of 25.2% from 2026 to 2033
Base year for estimation
2025
Historical data
2021 – 2024
Forecast period
2026 – 2033
Quantitative units
Revenue in USD billion, and CAGR from 2026 to 2033
Report coverage
Revenue forecast, company ranking, competitive landscape, growth factors, and trends
Segments covered
Component, deployment, organization, and region
Regional scope
North America; Europe; Asia Pacific; Latin America; MEA
Country scope
U.S.; Canada; Mexico; Germany; UK; France; China; Japan; India; South Korea; Australia; Brazil; Saudi Arabia; UAE; South Africa
Key companies profiled
IBM; SAS Institute Inc.; FICO; LexisNexis Risk Solutions; Oracle; Capgemini; DXC Technology Company; FRISS; BAE Systems; Experian Information Solutions, Inc.
Customization scope
Free report customization (equivalent up to 8 analysts working days) with purchase. Addition or alteration to country, regional & segment scope.
Pricing and purchase options
Avail of customized purchase options to meet your exact research needs. Explore purchase options
Global Insurance Fraud Detection Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global insurance fraud detection market report based on component, deployment, organization, and region:
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Component Outlook (Revenue, USD Million, 2021 - 2033)
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Solutions
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Services
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Deployment Outlook (Revenue, USD Million, 2021 - 2033)
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Cloud
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On-Premise
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Organization Outlook (Revenue, USD Million, 2021 - 2033)
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SMB
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Large Organization
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Regional Outlook (Revenue, USD Million, 2021 - 2033)
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North America
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U.S.
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Canada
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Mexico
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Europe
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Germany
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UK
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France
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Asia Pacific
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China
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Japan
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India
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South Korea
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Australia
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Latin America
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Brazil
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Middle East and Africa (MEA)
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Saudi Arabia
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UAE
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South Africa
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Frequently Asked Questions About This Report
The solutions segment accounted for the largest revenue share of over 60.0% in 2025.
Key players in the market include IBM; SAS Institute Inc.; FICO; LexisNexis Risk Solutions; Oracle; Capgemini; DXC Technology Company; FRISS; BAE Systems; Experian Information Solutions, Inc., and others.
The global insurance fraud detection market size was valued at USD 6.9 billion in 2025 and is estimated at USD 8.5 billion for 2026.
The global insurance fraud detection market is expected to grow at a CAGR of 25.2% from 2026 to 2033, reaching USD 41.0 billion.
North America dominated with a 50.0% revenue share in 2025.
About the Author(s)
Next Generation Technologies Research Team
Technology · Next Generation TechnologiesThis report was authored by the next generation technologies research team at Grand View Research - comprising two research analysts, one senior research analyst, and one industry expert - with specialized expertise in the next generation technologies segment of the technology industry. All findings are based on proprietary technology databases, executive interviews, and regulatory analysis, subject to internal peer review prior to publication.
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