Healthcare Fraud Detection Market Report 2026

The healthcare fraud detection market size has grown exponentially in recent years. It will grow from $4.66 billion in 2025 to $6.1 billion in 2026 at a compound annual growth rate (CAGR) of 31%. The growth in the historic period can be attributed to increasing healthcare claims volumes, rising incidents of billing fraud and abuse, adoption of data analytics in healthcare finance, growing regulatory oversight, digitization of healthcare payment systems.

The healthcare fraud detection market size is expected to see exponential growth in the next few years. It will grow to $17.83 billion in 2030 at a compound annual growth rate (CAGR) of 30.8%. The growth in the forecast period can be attributed to increasing investments in advanced analytics solutions, rising demand for automated fraud prevention tools, expansion of cloud-based healthcare platforms, growing integration of machine learning in claims processing, increased focus on cost containment. Major trends in the forecast period include increasing adoption of AI-based fraud detection platforms, rising use of predictive analytics for claims review, growing deployment of real-time payment integrity solutions, expansion of cloud-based fraud detection systems, enhanced focus on data transparency and compliance.

The rise in fraudulent events in the healthcare industry is expected to drive the growth of the healthcare fraud detection market going forward. Fraudulent events in healthcare involve the intentional misrepresentation of patient information and insurance data to obtain illegal or unfair gains or to deny a user their legal rights. For example, in June 2024, the US Department of Justice announced a national healthcare fraud takedown, charging 193 defendants, including 76 medical professionals, for approximately US$ 2.75 billion in intended losses and US$ 1.6 billion in actual losses. Consequently, the increasing occurrence of fraudulent activities in the healthcare sector is anticipated to propel the demand for healthcare fraud detection solutions.

Major companies in the healthcare fraud detection market are concentrating on developing innovative solutions, such as advanced insurance fraud detection platforms, to enhance real-time claim monitoring, strengthen data verification, and reduce fraudulent activities across healthcare and insurance systems. Insurance fraud detection platforms are integrated technology suites that use advanced analytics, continuous monitoring, and automated data validation to identify suspicious behavior, flag high-risk claims, and provide investigators with actionable insights. For instance, in June 2023, Verisk Analytics Inc., a US-based analytics company, in collaboration with Kyndryl Holdings, Inc., launched an advanced technology suite aimed at preventing insurance fraud in Israel’s compulsory insurance market. By leveraging Kyndryl’s high-performance computing capabilities and Verisk’s domain expertise, the enhanced anti-fraud engine enables real-time monitoring of auto claims for bodily injury. Supported by 24/7 managed services and sophisticated analytics, the system authenticates applicant information, cross-checks records with government and external databases, and streamlines data investigation for claim adjusters. This collaboration aims to strengthen claims integrity, improve fraud detection, and meet growing consumer expectations in a digitized insurance environment, reflecting technological advancement in the healthcare fraud detection market.

In July 2025, Prime Health Services, a US-based provider of healthcare payer services, clinical data management, and claims review solutions, partnered with 4L Data Intelligence to enhance its fraud, waste, and abuse (FWA) detection capabilities through advanced AI-driven risk scoring and real-time behavioral analytics. 4L Data Intelligence, a US-based provider of AI-powered healthcare analytics and risk detection solutions, assists payers in identifying and mitigating fraudulent or abusive claims.

Major companies operating in the healthcare fraud detection market are International Business Machines Corporation, Cotiviti Inc., Fair Isaac Corporation, SAS Institute Inc., RELX Group PLC, LexisNexis Risk Solutions Group, EXL Service Holdings Inc., Qlarant Inc., Change Healthcare LLC, Codoxo Inc., Pondera Solutions Inc., HMS Holdings Corp., FraudLens Inc., FraudScope Inc., Healthcare Fraud Shield LLC, MultiPlan Corporation, CGI Inc., DXC Technology Company, Conduent Incorporated, HCL Technologies Limited, Wipro Limited, H2O.ai Inc., McKesson Corporation.

North America was the largest region in the healthcare fraud detection market in 2025. The regions covered in the healthcare fraud detection market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the healthcare fraud detection market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs are impacting the healthcare fraud detection market by increasing costs of imported servers, data processing hardware, cybersecurity infrastructure, and advanced analytics software components. Healthcare payers and government agencies in North America and Europe are most affected due to reliance on imported IT infrastructure, while Asia-Pacific faces higher costs for cloud deployment hardware. These tariffs are increasing system implementation costs and extending deployment timelines. However, they are also encouraging domestic software development, regional data center investments, and localized delivery of fraud detection solutions.

The healthcare fraud detection market research report is one of a series of new reports that provides healthcare fraud detection market statistics, including healthcare fraud detection industry global market size, regional shares, competitors with a healthcare fraud detection market share, detailed healthcare fraud detection market segments, market trends and opportunities, and any further data you may need to thrive in the healthcare fraud detection industry. This healthcare fraud detection market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Healthcare fraud detection encompasses a set of actions aimed at preventing unauthorized access to patient data or property and involves account auditing and investigative processes. It is employed to ensure transparency and accountability, assess risk by monitoring data usage, detect, prevent, and manage suspicious fraud, waste, and abuse, and minimize the leakage of sensitive information, including patient medical records and other credentials.

The primary types of healthcare fraud detection include descriptive analytics, predictive analytics, and prescriptive analytics. Descriptive analytics supports predictive and prescriptive approaches by managing medical imaging scans, clinical data, and outcomes data. It involves identifying patterns and relationships by combining historical and current data to detect suspicious activities. The models are delivered either on-premises or on-demand, utilizing components such as software and services. Applications include insurance claims review and payment integrity, and these solutions are used by healthcare payers, government agencies, and other stakeholders.

The health fraud detection market includes revenues earned by entities by tracking secondary data, providing technology specialist. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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