Healthcare Fraud Analytics Market Size, Share, and Industry Analysis, By Solution Type (Descriptive, Predictive Analytics and Prescriptive Analytics), By Application (Insurance Claims, Payment Integrity, Provider Fraud & Identity Analytics, Member Eligibility & Identity Fraud, and Others), By Deployment (Cloud-based and On-premise / hybrid), By End User (Private Payers & PBMs, Government Payers, TPAs & Self-Insured Employers, SIUs / Analytics Service Providers, and Others), and Regional Forecast till 2034

The healthcare fraud analytics market size was valued at USD 4.00 billion in 2025. The market is projected to grow from USD 4.63 billion in 2026 to USD 15.20 billion by 2034, exhibiting a CAGR of 16.0% during the forecast period.

The healthcare fraud analytics market is anticipated to witness notable growth due to rising cases of health insurance claims, followed by an increase in fraud cases.  Additionally, the federal government's growth of Medicaid services also solidifies the rising demand for fraud analytics to ensure that eligible individuals are being served. Social media's impact on healthcare extends to fraudulent activities, with fake claims and identity theft posing an extensive demand for healthcare fraud analytics solutions.

Underscoring such high demand, many key companies are launching innovative solutions to protect healthcare payers from fraudulent activities and promote cashless transactions.

• For instance, in June 2025, Alivia Analytics launched Alivia 360, its unified platform for detecting pre- and post-payment fraud, waste, and abuse (FWA) in healthcare payers. The development aims to help government agencies act earlier and prevent improper payments before they occur.

Furthermore, strategic collaborations, news product launches, and key acquisitions helped diversify the product offerings of key companies and strengthen their market position.

Healthcare Fraud Analytics Market Driver

Increasing Need for Fraud Prevention to Drive Market Growth

The principal factor driving global market growth is the increasing incidence of healthcare fraud, which drives demand. As healthcare fraud cases increase, payers and government programs face the risk of financial leakage from inflated or medically unnecessary claims, which directly pressures operating margins and reimbursement budgets. The growing volume of fraud schemes also makes manual audits less effective. This drives demand for fraud analytics tools that can quickly scan large datasets, identify outliers, and prioritize high-risk cases for investigation.

• For instance, in June 2025, the U.S. Department of Justice reported that the National Health Care Fraud Takedown resulted in 324 defendants being charged in schemes involving over $1 billion in alleged losses. When fraud operates at this scale, manual review can’t keep up. Payers and government programs need digital fraud analytics solutions to scan large volumes of data, driving market growth.

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According to the article published by the Asian Journal of Management and Commerce in 2021, titled ‘Analysis of emerging frauds in healthcare industry and its impact on sustainability’, a study was conducted around 50 hospitals in India and reported more than 20 cases of fraud in biomedical waste.

Healthcare Fraud Analytics Market Restraint

High Implementation Cost to Pose a Challenge for its Adoption and Hampering Market Growth

High implementation cost acts as a major restraint in the healthcare fraud analytics market. Organizations must integrate multiple data sources, such as claims, eligibility, provider files, pharmacy records, and clinical records, clean and standardize that data, and then tune models to match local billing rules and fraud patterns. Such complex workflows require IT time and skilled analytics resources, which increases upfront spending and extends deployment timelines.

Additionally, fraud models must be continuously monitored and updated to remain effective as fraud schemes evolve, thereby increasing operating costs. As a result, smaller payers and mid-sized providers may delay adoption or choose limited-scope deployments, which slows overall market growth.

• For example, Ramam Tech reported that Enterprise-Level Fraud Detection Software costs around USD 150,000 – USD 500,000. Such a high cost hampers market growth.

Healthcare Fraud Analytics Market Opportunity

Improving Payment Integrity in Healthcare Through the Use of AI to Offer Lucrative Market Growth Opportunity

Improving payment integrity through innovative technologies such as AI, ML, and blockchain offers a robust growth opportunity. Healthcare payers and government programs are under constant pressure to reduce unnecessary spending while paying legitimate claims quickly. AI can analyze large volumes of claims and clinical data to identify unusual billing patterns, high-risk providers, duplicate or inflated charges, and medically unnecessary services more effectively. AI also improves over time as it learns from new fraud tactics and feedback from investigators, making detection more accurate and scalable. As a result, payers are increasingly willing to invest in AI-led payment integrity programs to protect margins, improve operational efficiency, and demonstrate measurable reductions in improper payments. Many key companies are focusing on new product launches in the segment, eyeing its growth potential.

• For instance, in June 2025, SAS Institute Inc. launched a new AI solution – SAS Health Cost of Care Analytics, which was targeted at health care payers and providers to support effective decision making about quality and cost of care. The payment integrity models offer capabilities for addressing issues with health billing errors and claim discrepancies, detecting fraud, and preventing improper claims.

Segmentation

Key Insights

The report covers the following key insights:

• Key Industry Developments
• Overview: Advancements in Healthcare Fraud Analytics
• New Product Launches, By Key Players

Analysis by Solution Type

Based on solution type, the global healthcare fraud analytics market is segmented into descriptive, predictive analytics, and prescriptive analytics.

Among these, descriptive analytics is anticipated to hold a significant market share. Descriptive analytics are easy to implement and give rapid results. It helps to monitor unusual billing spikes, duplicate claims, and other anomalies. Descriptive tools seamlessly integrate into existing workflows, providing rapid visibility with reduced complexity. These benefits will drive the segmental growth.

• SAS Institute Inc., Cotiviti, Inc., and IBM are some of the leading companies that offer descriptive solutions for healthcare fraud analytics.

Analysis by Application

By application, the market is divided into insurance claims, payment integrity, provider fraud & identity analytics, member eligibility & identity fraud, and others.

Within applications, payment integrity is anticipated to dominate the market due to its utilization in large volumes by patients. They reduce unnecessary spending and protect margins. Prepay analytics enables stopping suspicious claims before payment, while post-pay analytics helps detect and recover overpayments later. It produces a measurable financial impact on operations, making it a priority for the payer and driving segmental growth. Due to its strategic importance, key companies are investing profoundly to advance and launch new products in the segment.

• For instance, in April 2025, HealthEdge integrated the Gynisus advanced artificial intelligence (AI) platform into the leading payment integrity solution, HealthEdge Source. This enhancement made agentic AI fully accessible through HealthEdge Source, bringing payer-centric automation under one roof.

Analysis by Deployment

Based on deployment, the market is classified into cloud-based and on-premise / hybrid.

The cloud-based segment is expected to dominate the market. The segment's dominance is attributed to improved cybersecurity and scalability opportunities. With the increasing adoption of EHRs and the digitalization of claims processing, the volume of cloud-based claims has also increased. Due to these factors, key companies are participating in strategic partnerships to develop new products in the segment, thereby intensifying the segment's dominance.

• For instance, in May 2023, Teradata collaborated with FICO, the analytics software provider, to bring to market integrated, cloud-based analytic solutions for real-time payments fraud, insurance claims, and supply chain optimization. These factors are expected to drive the segmental growth.

Analysis by End User

By end user, the market is divided into Private Payers & PBMs, Government Payers, TPAs & Self-Insured Employers, SIUs / Analytics Service Providers, and Others.

Private players and PBMs are expected to hold a leading share in the global market. The high share is attributed to the segment, as they handle large claim volumes and face constant pressure to control costs. They also have strong business incentives to reduce fraud, waste, and billing errors, protecting profitability and keeping premiums competitive. The strong network base of these end-users further supports market growth. Underscoring their potential, leading players are focusing on technological advancement of these solutions to empower payers.

• For instance, in December 2025, Codoxo raised USD 35.0 million in investment to accelerate the deployment of Gen AI at Point Zero, empowering payers. Such developments are expected to drive the segmental growth.

Regional Analysis

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By region, the market is categorized into Europe, North America, Asia Pacific, Latin America, and the Middle East & Africa.

North America accounted for approximately 55% of the global healthcare fraud analytics market in 2025. The region accounts for a significant share of the market, as healthcare fraud and improper payments are major problems in the region. Large public enforcement actions and ongoing fraud cases keep fraud prevention high on the priority list, which pushes payers to invest in analytics solutions.

Additionally, regulatory bodies are launching strategic initiatives to curb fraud cases and advance their analytics solution offerings.

• For instance, in February 2022, the Canadian Life and Health Insurance Association launched an industry initiative to pool claims data and use advanced artificial intelligence tools to enhance the detection and investigation of benefits fraud. Such developments drive the market growth in the region.

Europe is expected to grow at a significant CAGR during the forecast period due to increasing demand, as health systems become more digital and data-driven, and governments strengthen the management and sharing of health data. The need for secure data platforms and analytics capabilities across healthcare systems is rising. Additionally, national bodies such as the UK’s NHS Counter Fraud Authority continue to expand their counter-fraud programs and measurement, which supports steady demand for fraud detection and prevention tools.

These factors have encouraged strategic partnerships among key players in the region.

• For instance, in June 2023, Kyndryl implemented a suite of technology services for ClaimSearch Israel Ltd., a subsidiary of Verisk, the official fraud detection database operator for Israel’s compulsory healthcare insurance market.

Asia Pacific is expected to grow at a stable CAGR during the forecast period.  The large public and private health programs are expanding coverage and claim volumes, which increases the risk of misuse and wrong billing. Governments are developing structured anti-fraud systems and utilizing technology to detect fraud as schemes become increasingly sophisticated. Additionally, the region is emerging as a hub for healthcare IT services, which is promoting new product launches and driving growth.

• For instance, in August 2024, MediBuddy, a digital healthcare platform in India, launched its AI-powered fraud detection system 'Sherlock' for healthcare reimbursement claims. The platform leveraged the power of advanced technologies, including artificial intelligence (AI), machine learning (ML), and data analytics, to detect and prevent fraudulent claims in real-time—such developments are driving the growth of the region.

Key Players Covered

The global healthcare fraud analytics market is semi-consolidated, with a few players capturing a significant market share.

The report includes the profiles of the following key players.

• SAS Institute Inc. (U.S.)
• Optum, Inc. (U.S.)
• Cotiviti, Inc.  (U.S.)
• LexisNexis Risk Solutions (U.S.)
• IBM (U.S.)
• ExlService Holdings, Inc. (U.S.)
• Conduent Incorporated. (U.S.)
• FICO (U.S.)
• Experian Information Solutions, Inc. (U.S.)
• Pondera (Russia)

Key Industry Developments

• November 2024: HealthEdge partnered with Codoxo to enhance their respective end-to-end payment integrity processes by leveraging HealthEdge SourceTM in conjunction with Codoxo’s GenAI-driven Unified Cost Containment Platform. The development aimed to improve data integrity and accelerate time-to-value. Codoxo’s Unified Cost Containment Platform consisted of AI and GenAI-powered provider education, data mining, medical record & complex chart reviews, medical policy & provider contract compliance, fraud, waste & abuse, as well as audit & case management.
• November 2024: Cotiviti launched 360 Pattern Review, a powerful, fully managed service that combined prepay fraud, waste, and abuse (FWA) prevention with postpay review for true FWA prevention and management across the entire claim payment cycle.