According to the latest report by IMARC Group, titled, “Insurance Fraud Detection Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2027″, The global insurance fraud detection market is expected to exhibit a CAGR of 25.16% during 2022-2027.

Insurance fraud detection refers to various software-based solutions used to identify, detect, investigate, and mitigate fraudulent activities related to property and insurance. It operates by performing statistical interpretation with the support of machine learning (ML), artificial intelligence (AI), and traditional rule-based fraud analytics models. It is primarily used for analyzing identity theft, payment frauds, false claims, and cyber-attacks.

Insurance Fraud Detection Market Trends:

The widespread utilization of insurance fraud detection in various industries, such as automotive, retail, hospitality, healthcare, and banking financing services and insurance (BFSI), for authentication and risk compliance,is one of the primary factors driving the market growth.In addition to this, the increasing instances of inaccurate claims, abductions, deaths, and fake medical records havefacilitated the need for effective insurance fraud detection solutions.Apart from this, the integration with the Internet of Things (IoT) and artificial intelligence (AI) for operating, screening, and mining images and business rules is fueling the market growth.

Insurance Fraud Detection Market 2022-2027 Analysis and Segmentation:

Competitive Landscape:

The competitive landscape of the market has been studied in the report with the detailed profiles of the key players operating in the market.

  • ACI Worldwide Inc,
  • BAE Systems plc,
  • Equifax Inc.,
  • Experian plc,
  • Fair Isaac Corporation,
  • Fiserv Inc.,
  • FRISS,
  • International Business Machines Corporation,
  • Lexisnexis Risk Solutions Inc. (RELX Group plc),
  • SAP SE
  • SAS Institute Inc.
  • Software AG.

The report has segmented the market on the basis on type, deployment, application and vertical.

Breakup by Component:

  • Solution
  • Services

Breakup by Deployment Model:

  • Cloud-based
  • On-premises

Breakup by Organization Size:

  • Small and Medium-sized Enterprises
  • Large Enterprises

Breakup by Application:

  • Claims Fraud
  • Identity Theft
  • Payment and Billing Fraud
  • Money Laundering

Breakup by End User:

  • Insurance Companies
  • Agents and Brokers
  • Insurance Intermediaries
  • Others

Breakup by Region:

  • North America: (United States, Canada)
  • Asia Pacific: (China, Japan,India, South Korea, Australia, Indonesia, Others)
  • Europe: (Germany, France,United Kingdom, Italy, Spain, Russia, Others)
  • Latin America: (Brazil, Mexico, Others)
  • Middle East and Africa
 

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