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PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1532459

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PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1532459

Insurance Fraud Detection Market Size - By Component (Solution, Service), By Fraud (Claims Fraud, Identity Fraud, Payment Fraud, Application Fraud), By Deployment Mode (On-premises, Cloud), By Organization Size, By End Use & Forecast, 2024 - 2032

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Global Insurance Fraud Detection Market will witness over 25% CAGR between 2024 and 2032 driven by advancements in artificial intelligence (AI) research and development. As fraud tactics become more sophisticated, insurance companies are increasingly turning to AI to enhance their fraud detection capabilities. The ability of AI to adapt and improve through continuous learning makes it an invaluable tool in combating evolving fraud schemes.

For instance, in January 2024, recent research from the College of Engineering and Computer Science at Florida Atlantic University tackled the challenge of detecting fraud within the vast amounts of Medicare data. This innovative approach aimed to identify fraudulent activity in the extensive Medicare datasets, potentially saving significant resources for the Medicare system.

Investments in AI research and development are leading to the creation of more robust and accurate fraud detection systems, which improve operational efficiency and reduce financial losses. As the insurance industry continues to face challenges related to fraud, the demand for AI-driven solutions is expected to rise, underscoring the critical role of technological innovation in enhancing fraud prevention and detection.

The overall Insurance Fraud Detection Industry value is classified based on the component, fraud, deployment mode, organization size, end-use, and region.

The insurance fraud detection market revenue from the service segment will register a commendable CAGR from 2024 to 2032. With rising fraudulent activities and the complexity of detecting them, insurance companies are increasingly relying on sophisticated fraud detection services. These services use technologies like artificial intelligence, machine learning, and big data analytics to analyze transaction patterns, identify anomalies, and flag suspicious activities. The growing need for efficient and accurate fraud detection to protect financial assets and improve operational efficiency fuels this demand. As fraud tactics evolve, the market for innovative detection services continues to expand, reflecting their critical role in safeguarding the insurance industry.

The on-premises segment will witness an appreciable growth from 2024 to 2032. On-premises systems allow insurance companies to maintain sensitive data within their infrastructure, addressing concerns about data privacy and compliance with stringent regulations. These solutions provide robust, customizable fraud detection capabilities, enabling firms to tailor systems to their specific needs and integrate seamlessly with existing infrastructure. The need for immediate access to data and real-time processing further drives the demand for on-premises fraud detection solutions. As companies seek to bolster their fraud prevention measures, on-premises systems remain a crucial component in the market.

Europe insurance fraud detection market will exhibit a notable CAGR from 2024 to 2032. European insurers are increasingly adopting advanced fraud detection solutions to address rising fraud cases and regulatory pressures. The demand is driven by the need for sophisticated technologies, such as artificial intelligence and machine learning, to analyze complex data and detect anomalies effectively. Enhanced regulatory frameworks and the push for better data security also contribute to this growth. As European insurers seek to improve fraud prevention and protect financial assets, the market for innovative detection solutions is expanding rapidly.

Product Code: 9509

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Market scope & definition
  • 1.2 Research design
    • 1.2.1 Research approach
    • 1.2.2 Data collection methods
  • 1.3 Base estimates & calculations
    • 1.3.1 Base year calculation
    • 1.3.2 Key trends for market estimation
  • 1.4 Forecast model
  • 1.5 Primary research and validation
    • 1.5.1 Primary sources
    • 1.5.2 Data mining sources

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Supplier landscape
    • 3.2.1 Software provider
    • 3.2.2 Service provider
    • 3.2.3 System integrator
    • 3.2.4 End user
  • 3.3 Profit margin analysis
  • 3.4 Technology & innovation landscape
  • 3.5 Patent analysis
  • 3.6 Key news & initiatives
  • 3.7 Regulatory landscape
  • 3.8 Impact forces
    • 3.8.1 Growth drivers
      • 3.8.1.1 Rising volume of digital transactions
      • 3.8.1.2 Stringent regulatory compliance requirements
      • 3.8.1.3 Collaboration between insurers and tech firms
      • 3.8.1.4 Global expansion of insurance markets
    • 3.8.2 Industry pitfalls & challenges
      • 3.8.2.1 Data privacy and security concerns
      • 3.8.2.2 High initial investment costs for technology integration
  • 3.9 Growth potential analysis
  • 3.10 Porter's analysis
  • 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component 2021 - 2032 ($Mn)

  • 5.1 Key trends
  • 5.2 Solution
    • 5.2.1 Fraud analytics
    • 5.2.2 Authentication
    • 5.2.3 Fraud case management
    • 5.2.4 Others
  • 5.3 Service
    • 5.3.1 Professional services
    • 5.3.2 Managed services

Chapter 6 Market Estimates & Forecast, By Fraud, 2021 - 2032 ($Mn)

  • 6.1 Key trends
  • 6.2 Claims fraud
  • 6.3 Identity fraud
  • 6.4 Payment fraud
  • 6.5 Application fraud

Chapter 7 Market Estimates & Forecast, By Deployment Mode, 2021 - 2032 ($Mn)

  • 7.1 Key trends
  • 7.2 On-premises
  • 7.3 Cloud

Chapter 8 Market Estimates & Forecast, By Organization Size, 2021 - 2032 ($Mn)

  • 8.1 Key trends
  • 8.2 SMEs
  • 8.3 Large enterprises

Chapter 9 Market Estimates & Forecast, By End Use, 2021 - 2032 ($Mn)

  • 9.1 Key trends
  • 9.2 Insurance companies
  • 9.3 Third-party administrators
  • 9.4 Brokers/agents

Chapter 10 Market Estimates & Forecast, By Region, 2018 - 2032 ($Mn)

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 U.S.
    • 10.2.2 Canada
  • 10.3 Europe
    • 10.3.1 UK
    • 10.3.2 Germany
    • 10.3.3 Spain
    • 10.3.4 France
    • 10.3.5 Italy
    • 10.3.6 Netherlands
    • 10.3.7 Denmark
    • 10.3.8 Sweden
    • 10.3.9 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 South Korea
    • 10.4.5 Australia
    • 10.4.6 Singapore
    • 10.4.7 Rest of Asia Pacific
  • 10.5 Latin America
    • 10.5.1 Brazil
    • 10.5.2 Mexico
    • 10.5.3 Argentina
    • 10.5.4 Colombia
    • 10.5.5 Rest of Latin America
  • 10.6 MEA
    • 10.6.1 South Africa
    • 10.6.2 UAE
    • 10.6.3 Saudi Arabia
    • 10.6.4 Israel
    • 10.6.5 Rest of MEA

Chapter 11 Company Profiles

  • 11.1 American International Group, Inc.
  • 11.2 BAE Systems plc
  • 11.3 Claims Fraud Detector
  • 11.4 DataVisor, Inc.
  • 11.5 Experian plc
  • 11.6 Fair Isaac Corporation
  • 11.7 Fiserv, Inc.
  • 11.8 FRISS Software B.V.
  • 11.9 IBM Corporation
  • 11.10 RELX Group
  • 11.11 MIBAR.ai Ltd.
  • 11.12 SAS Institute Inc.
  • 11.13 Shift Technology SA
  • 11.14 TransUnion LLC
  • 11.15 Verisk Analytics, Inc.
Have a question?
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Jeroen Van Heghe

Manager - EMEA

+32-2-535-7543

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Christine Sirois

Manager - Americas

+1-860-674-8796

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