Global Insurance Fraud Detection

Insurance Fraud Detection Comprehensive Study by Type (Fraud Analytics, Authentication, Other), Application (Fraud Claims, Identification of Theft, Billing& Payment Fraud, Money Laundering), Users (Banking, Financial Services and Insurance, Healthcare, IT & Telecom, Automotive, Other), Component (Solution, Services), Deployment (On-premises, Cloud) Players and Region - Global Market Outlook to 2030

Insurance Fraud Detection Market by XX Submarkets | Forecast Years 2024-2030 | CAGR: 24.2%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
Insurance fraud includes any act aimed for misleading the insurance process. Insurance fraud detection is a system which is used for detecting, preventing and managing both organised and opportunistic claims fraud across numerous industry verticals. For instance, the association of British insurers in the United Kingdom has uncovered more than 130,000 fraudulent claims, which valued at US1.7 billion in 2015. Integration of technologies such as AI, machine learning, mining of text expected to drive the market of insurance fraud detection methods.

AttributesDetails
Study Period2018-2030
Base Year2023
UnitValue (USD Million)
Key Companies ProfiledIBM Corporation (United States), Fair Issac Corporation (United States), SAP SE (Germany), PayPal Holdings, Inc. (United States), BAE Systems PLC (United Kingdom), RELX PLC (United Kingdom), Fiserv, Inc. (United States), Software AG (Germany), ACI Worldwide, Inc. (United States) and Experian Information Solutions (United States)


According to AMA, the market for Insurance Fraud Detection is expected to register a CAGR of 24.2% during the forecast period to 2030. This growth is primarily driven by The increasing number of fraudulent auto claims and Growing demand for cybersecurity.

Globally, a noticeable market trend is evident Growing Demand Integration of Technologies Such As AI, Mining Text, Machine Learning Major Players, such as IBM Corporation (United States), Fair Issac Corporation (United States), SAP SE (Germany), PayPal Holdings, Inc. (United States), BAE Systems PLC (United Kingdom), RELX PLC (United Kingdom), Fiserv, Inc. (United States), Software AG (Germany), ACI Worldwide, Inc. (United States) and Experian Information Solutions (United States), etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years. The market is seeing moderate market players, by seeing huge growth in this market the key leading vendors are highly focusing on production technologies, efficiency enhancement, and product life. This market has various growth opportunities that leading players capture via tracking the ongoing process enhancement and huge investment in market growth strategies.

Key Developments in the Market:
In May 2023, Teradata and FICO, the analytics software provider in the insurance claim market, partnered to bring to market integrated advanced analytic solutions for real-time payments fraud insurance claims by incorporating AI-powered decision automation and optimization to financial services, which shows the demand for fraud analytical solutions in the BFSI sector.
In November 2023, Verisk launched a solution aimed at helping insurers evaluate their underwriting models for potential unfair pricing discrimination against protected classes.

Influencing Trend:
Growing Demand Integration of Technologies Such As AI, Mining Text, Machine Learning

Market Growth Drivers:
The increasing number of fraudulent auto claims and Growing demand for cybersecurity

Challenges:
Lack Awareness Regarding the Insurance Fraud Detection Solutions, Increasing Difficulty in Identifying Fraudulent Activities at an Early Stage and Fraud Recognition Become lengthy &Exhausting Process When Data Overloaded.

Restraints:
High Cost of Insurance Fraud Detection System

Opportunities:
Growing Complexity in Individual or Organized Crime Is a Major Concern for Many Insurance Companies

AMA Research follows a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcases the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyze the products and services offered by multiple players competing to increase their market share and presence.

Customization in the Report
AMA Research features not only specific market forecasts but also includes significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints in Insurance Fraud Detection Market
- Analysis about New Entrants in Insurance Fraud Detection Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis
- An Unbiased Perspective towards Market Performance & Indicators

Against this Challenging Backdrop, Insurance Fraud Detection Study Sheds Light on
— The Insurance Fraud Detection Market status quo and key characteristics. To end this, Analysts at AMA organize and took surveys of the Insurance Fraud Detection industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Insurance Fraud Detection industry is heading and what are the top priorities. Insights are drawn from financial analysis, surveys, and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold the value they currently claim or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Type
  • Fraud Analytics
  • Authentication
  • Other
By Application
  • Fraud Claims
  • Identification of Theft
  • Billing& Payment Fraud
  • Money Laundering
By Users
  • Banking, Financial Services and Insurance
  • Healthcare
  • IT & Telecom
  • Automotive
  • Other

By Component
  • Solution
  • Services

By Deployment
  • On-premises
  • Cloud

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. The increasing number of fraudulent auto claims
      • 3.2.2. Growing demand for cybersecurity
    • 3.3. Market Challenges
      • 3.3.1. Lack Awareness Regarding the Insurance Fraud Detection Solutions
      • 3.3.2. Increasing Difficulty in Identifying Fraudulent Activities at an Early Stage
      • 3.3.3. Fraud Recognition Become lengthy &Exhausting Process When Data Overloaded.
    • 3.4. Market Trends
      • 3.4.1. Growing Demand Integration of Technologies Such As AI, Mining Text, Machine Learning
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Insurance Fraud Detection, by Type, Application, Users, Component, Deployment and Region (value) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global Insurance Fraud Detection (Value)
      • 5.2.1. Global Insurance Fraud Detection by: Type (Value)
        • 5.2.1.1. Fraud Analytics
        • 5.2.1.2. Authentication
        • 5.2.1.3. Other
      • 5.2.2. Global Insurance Fraud Detection by: Application (Value)
        • 5.2.2.1. Fraud Claims
        • 5.2.2.2. Identification of Theft
        • 5.2.2.3. Billing& Payment Fraud
        • 5.2.2.4. Money Laundering
      • 5.2.3. Global Insurance Fraud Detection by: Users (Value)
        • 5.2.3.1. Banking, Financial Services and Insurance
        • 5.2.3.2. Healthcare
        • 5.2.3.3. IT & Telecom
        • 5.2.3.4. Automotive
        • 5.2.3.5. Other
      • 5.2.4. Global Insurance Fraud Detection by: Component (Value)
        • 5.2.4.1. Solution
        • 5.2.4.2. Services
      • 5.2.5. Global Insurance Fraud Detection Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. Insurance Fraud Detection: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2023)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. IBM Corporation (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Fair Issac Corporation (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. SAP SE (Germany)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. PayPal Holdings, Inc. (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. BAE Systems PLC (United Kingdom)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. RELX PLC (United Kingdom)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Fiserv, Inc. (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Software AG (Germany)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. ACI Worldwide, Inc. (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Experian Information Solutions (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Insurance Fraud Detection Sale, by Type, Application, Users, Component, Deployment and Region (value) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global Insurance Fraud Detection (Value)
      • 7.2.1. Global Insurance Fraud Detection by: Type (Value)
        • 7.2.1.1. Fraud Analytics
        • 7.2.1.2. Authentication
        • 7.2.1.3. Other
      • 7.2.2. Global Insurance Fraud Detection by: Application (Value)
        • 7.2.2.1. Fraud Claims
        • 7.2.2.2. Identification of Theft
        • 7.2.2.3. Billing& Payment Fraud
        • 7.2.2.4. Money Laundering
      • 7.2.3. Global Insurance Fraud Detection by: Users (Value)
        • 7.2.3.1. Banking, Financial Services and Insurance
        • 7.2.3.2. Healthcare
        • 7.2.3.3. IT & Telecom
        • 7.2.3.4. Automotive
        • 7.2.3.5. Other
      • 7.2.4. Global Insurance Fraud Detection by: Component (Value)
        • 7.2.4.1. Solution
        • 7.2.4.2. Services
      • 7.2.5. Global Insurance Fraud Detection Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Insurance Fraud Detection: by Type(USD Million)
  • Table 2. Insurance Fraud Detection Fraud Analytics , by Region USD Million (2018-2023)
  • Table 3. Insurance Fraud Detection Authentication , by Region USD Million (2018-2023)
  • Table 4. Insurance Fraud Detection Other , by Region USD Million (2018-2023)
  • Table 5. Insurance Fraud Detection: by Application(USD Million)
  • Table 6. Insurance Fraud Detection Fraud Claims , by Region USD Million (2018-2023)
  • Table 7. Insurance Fraud Detection Identification of Theft , by Region USD Million (2018-2023)
  • Table 8. Insurance Fraud Detection Billing& Payment Fraud , by Region USD Million (2018-2023)
  • Table 9. Insurance Fraud Detection Money Laundering , by Region USD Million (2018-2023)
  • Table 10. Insurance Fraud Detection: by Users(USD Million)
  • Table 11. Insurance Fraud Detection Banking, Financial Services and Insurance , by Region USD Million (2018-2023)
  • Table 12. Insurance Fraud Detection Healthcare , by Region USD Million (2018-2023)
  • Table 13. Insurance Fraud Detection IT & Telecom , by Region USD Million (2018-2023)
  • Table 14. Insurance Fraud Detection Automotive , by Region USD Million (2018-2023)
  • Table 15. Insurance Fraud Detection Other , by Region USD Million (2018-2023)
  • Table 16. Insurance Fraud Detection: by Component(USD Million)
  • Table 17. Insurance Fraud Detection Solution , by Region USD Million (2018-2023)
  • Table 18. Insurance Fraud Detection Services , by Region USD Million (2018-2023)
  • Table 19. South America Insurance Fraud Detection, by Country USD Million (2018-2023)
  • Table 20. South America Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 21. South America Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 22. South America Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 23. South America Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 24. South America Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 25. Brazil Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 26. Brazil Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 27. Brazil Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 28. Brazil Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 29. Brazil Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 30. Argentina Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 31. Argentina Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 32. Argentina Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 33. Argentina Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 34. Argentina Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 35. Rest of South America Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 36. Rest of South America Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 37. Rest of South America Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 38. Rest of South America Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 39. Rest of South America Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 40. Asia Pacific Insurance Fraud Detection, by Country USD Million (2018-2023)
  • Table 41. Asia Pacific Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 42. Asia Pacific Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 43. Asia Pacific Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 44. Asia Pacific Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 45. Asia Pacific Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 46. China Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 47. China Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 48. China Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 49. China Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 50. China Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 51. Japan Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 52. Japan Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 53. Japan Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 54. Japan Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 55. Japan Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 56. India Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 57. India Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 58. India Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 59. India Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 60. India Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 61. South Korea Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 62. South Korea Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 63. South Korea Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 64. South Korea Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 65. South Korea Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 66. Taiwan Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 67. Taiwan Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 68. Taiwan Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 69. Taiwan Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 70. Taiwan Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 71. Australia Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 72. Australia Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 73. Australia Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 74. Australia Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 75. Australia Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 76. Rest of Asia-Pacific Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 77. Rest of Asia-Pacific Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 78. Rest of Asia-Pacific Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 79. Rest of Asia-Pacific Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 80. Rest of Asia-Pacific Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 81. Europe Insurance Fraud Detection, by Country USD Million (2018-2023)
  • Table 82. Europe Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 83. Europe Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 84. Europe Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 85. Europe Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 86. Europe Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 87. Germany Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 88. Germany Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 89. Germany Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 90. Germany Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 91. Germany Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 92. France Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 93. France Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 94. France Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 95. France Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 96. France Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 97. Italy Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 98. Italy Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 99. Italy Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 100. Italy Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 101. Italy Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 102. United Kingdom Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 103. United Kingdom Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 104. United Kingdom Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 105. United Kingdom Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 106. United Kingdom Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 107. Netherlands Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 108. Netherlands Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 109. Netherlands Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 110. Netherlands Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 111. Netherlands Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 112. Rest of Europe Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 113. Rest of Europe Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 114. Rest of Europe Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 115. Rest of Europe Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 116. Rest of Europe Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 117. MEA Insurance Fraud Detection, by Country USD Million (2018-2023)
  • Table 118. MEA Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 119. MEA Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 120. MEA Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 121. MEA Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 122. MEA Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 123. Middle East Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 124. Middle East Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 125. Middle East Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 126. Middle East Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 127. Middle East Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 128. Africa Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 129. Africa Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 130. Africa Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 131. Africa Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 132. Africa Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 133. North America Insurance Fraud Detection, by Country USD Million (2018-2023)
  • Table 134. North America Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 135. North America Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 136. North America Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 137. North America Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 138. North America Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 139. United States Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 140. United States Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 141. United States Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 142. United States Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 143. United States Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 144. Canada Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 145. Canada Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 146. Canada Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 147. Canada Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 148. Canada Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 149. Mexico Insurance Fraud Detection, by Type USD Million (2018-2023)
  • Table 150. Mexico Insurance Fraud Detection, by Application USD Million (2018-2023)
  • Table 151. Mexico Insurance Fraud Detection, by Users USD Million (2018-2023)
  • Table 152. Mexico Insurance Fraud Detection, by Component USD Million (2018-2023)
  • Table 153. Mexico Insurance Fraud Detection, by Deployment USD Million (2018-2023)
  • Table 154. Company Basic Information, Sales Area and Its Competitors
  • Table 155. Company Basic Information, Sales Area and Its Competitors
  • Table 156. Company Basic Information, Sales Area and Its Competitors
  • Table 157. Company Basic Information, Sales Area and Its Competitors
  • Table 158. Company Basic Information, Sales Area and Its Competitors
  • Table 159. Company Basic Information, Sales Area and Its Competitors
  • Table 160. Company Basic Information, Sales Area and Its Competitors
  • Table 161. Company Basic Information, Sales Area and Its Competitors
  • Table 162. Company Basic Information, Sales Area and Its Competitors
  • Table 163. Company Basic Information, Sales Area and Its Competitors
  • Table 164. Insurance Fraud Detection: by Type(USD Million)
  • Table 165. Insurance Fraud Detection Fraud Analytics , by Region USD Million (2025-2030)
  • Table 166. Insurance Fraud Detection Authentication , by Region USD Million (2025-2030)
  • Table 167. Insurance Fraud Detection Other , by Region USD Million (2025-2030)
  • Table 168. Insurance Fraud Detection: by Application(USD Million)
  • Table 169. Insurance Fraud Detection Fraud Claims , by Region USD Million (2025-2030)
  • Table 170. Insurance Fraud Detection Identification of Theft , by Region USD Million (2025-2030)
  • Table 171. Insurance Fraud Detection Billing& Payment Fraud , by Region USD Million (2025-2030)
  • Table 172. Insurance Fraud Detection Money Laundering , by Region USD Million (2025-2030)
  • Table 173. Insurance Fraud Detection: by Users(USD Million)
  • Table 174. Insurance Fraud Detection Banking, Financial Services and Insurance , by Region USD Million (2025-2030)
  • Table 175. Insurance Fraud Detection Healthcare , by Region USD Million (2025-2030)
  • Table 176. Insurance Fraud Detection IT & Telecom , by Region USD Million (2025-2030)
  • Table 177. Insurance Fraud Detection Automotive , by Region USD Million (2025-2030)
  • Table 178. Insurance Fraud Detection Other , by Region USD Million (2025-2030)
  • Table 179. Insurance Fraud Detection: by Component(USD Million)
  • Table 180. Insurance Fraud Detection Solution , by Region USD Million (2025-2030)
  • Table 181. Insurance Fraud Detection Services , by Region USD Million (2025-2030)
  • Table 182. South America Insurance Fraud Detection, by Country USD Million (2025-2030)
  • Table 183. South America Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 184. South America Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 185. South America Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 186. South America Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 187. South America Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 188. Brazil Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 189. Brazil Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 190. Brazil Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 191. Brazil Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 192. Brazil Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 193. Argentina Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 194. Argentina Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 195. Argentina Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 196. Argentina Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 197. Argentina Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 198. Rest of South America Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 199. Rest of South America Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 200. Rest of South America Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 201. Rest of South America Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 202. Rest of South America Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 203. Asia Pacific Insurance Fraud Detection, by Country USD Million (2025-2030)
  • Table 204. Asia Pacific Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 205. Asia Pacific Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 206. Asia Pacific Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 207. Asia Pacific Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 208. Asia Pacific Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 209. China Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 210. China Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 211. China Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 212. China Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 213. China Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 214. Japan Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 215. Japan Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 216. Japan Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 217. Japan Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 218. Japan Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 219. India Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 220. India Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 221. India Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 222. India Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 223. India Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 224. South Korea Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 225. South Korea Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 226. South Korea Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 227. South Korea Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 228. South Korea Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 229. Taiwan Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 230. Taiwan Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 231. Taiwan Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 232. Taiwan Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 233. Taiwan Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 234. Australia Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 235. Australia Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 236. Australia Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 237. Australia Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 238. Australia Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 239. Rest of Asia-Pacific Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 240. Rest of Asia-Pacific Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 241. Rest of Asia-Pacific Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 242. Rest of Asia-Pacific Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 243. Rest of Asia-Pacific Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 244. Europe Insurance Fraud Detection, by Country USD Million (2025-2030)
  • Table 245. Europe Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 246. Europe Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 247. Europe Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 248. Europe Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 249. Europe Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 250. Germany Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 251. Germany Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 252. Germany Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 253. Germany Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 254. Germany Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 255. France Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 256. France Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 257. France Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 258. France Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 259. France Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 260. Italy Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 261. Italy Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 262. Italy Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 263. Italy Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 264. Italy Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 265. United Kingdom Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 266. United Kingdom Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 267. United Kingdom Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 268. United Kingdom Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 269. United Kingdom Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 270. Netherlands Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 271. Netherlands Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 272. Netherlands Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 273. Netherlands Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 274. Netherlands Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 275. Rest of Europe Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 276. Rest of Europe Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 277. Rest of Europe Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 278. Rest of Europe Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 279. Rest of Europe Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 280. MEA Insurance Fraud Detection, by Country USD Million (2025-2030)
  • Table 281. MEA Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 282. MEA Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 283. MEA Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 284. MEA Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 285. MEA Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 286. Middle East Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 287. Middle East Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 288. Middle East Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 289. Middle East Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 290. Middle East Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 291. Africa Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 292. Africa Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 293. Africa Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 294. Africa Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 295. Africa Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 296. North America Insurance Fraud Detection, by Country USD Million (2025-2030)
  • Table 297. North America Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 298. North America Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 299. North America Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 300. North America Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 301. North America Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 302. United States Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 303. United States Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 304. United States Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 305. United States Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 306. United States Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 307. Canada Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 308. Canada Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 309. Canada Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 310. Canada Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 311. Canada Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 312. Mexico Insurance Fraud Detection, by Type USD Million (2025-2030)
  • Table 313. Mexico Insurance Fraud Detection, by Application USD Million (2025-2030)
  • Table 314. Mexico Insurance Fraud Detection, by Users USD Million (2025-2030)
  • Table 315. Mexico Insurance Fraud Detection, by Component USD Million (2025-2030)
  • Table 316. Mexico Insurance Fraud Detection, by Deployment USD Million (2025-2030)
  • Table 317. Research Programs/Design for This Report
  • Table 318. Key Data Information from Secondary Sources
  • Table 319. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Insurance Fraud Detection: by Type USD Million (2018-2023)
  • Figure 5. Global Insurance Fraud Detection: by Application USD Million (2018-2023)
  • Figure 6. Global Insurance Fraud Detection: by Users USD Million (2018-2023)
  • Figure 7. Global Insurance Fraud Detection: by Component USD Million (2018-2023)
  • Figure 8. South America Insurance Fraud Detection Share (%), by Country
  • Figure 9. Asia Pacific Insurance Fraud Detection Share (%), by Country
  • Figure 10. Europe Insurance Fraud Detection Share (%), by Country
  • Figure 11. MEA Insurance Fraud Detection Share (%), by Country
  • Figure 12. North America Insurance Fraud Detection Share (%), by Country
  • Figure 13. Global Insurance Fraud Detection share by Players 2023 (%)
  • Figure 14. Global Insurance Fraud Detection share by Players (Top 3) 2023(%)
  • Figure 15. Global Insurance Fraud Detection share by Players (Top 5) 2023(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 18. IBM Corporation (United States) Revenue: by Geography 2023
  • Figure 19. Fair Issac Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 20. Fair Issac Corporation (United States) Revenue: by Geography 2023
  • Figure 21. SAP SE (Germany) Revenue, Net Income and Gross profit
  • Figure 22. SAP SE (Germany) Revenue: by Geography 2023
  • Figure 23. PayPal Holdings, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 24. PayPal Holdings, Inc. (United States) Revenue: by Geography 2023
  • Figure 25. BAE Systems PLC (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 26. BAE Systems PLC (United Kingdom) Revenue: by Geography 2023
  • Figure 27. RELX PLC (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 28. RELX PLC (United Kingdom) Revenue: by Geography 2023
  • Figure 29. Fiserv, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 30. Fiserv, Inc. (United States) Revenue: by Geography 2023
  • Figure 31. Software AG (Germany) Revenue, Net Income and Gross profit
  • Figure 32. Software AG (Germany) Revenue: by Geography 2023
  • Figure 33. ACI Worldwide, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 34. ACI Worldwide, Inc. (United States) Revenue: by Geography 2023
  • Figure 35. Experian Information Solutions (United States) Revenue, Net Income and Gross profit
  • Figure 36. Experian Information Solutions (United States) Revenue: by Geography 2023
  • Figure 37. Global Insurance Fraud Detection: by Type USD Million (2025-2030)
  • Figure 38. Global Insurance Fraud Detection: by Application USD Million (2025-2030)
  • Figure 39. Global Insurance Fraud Detection: by Users USD Million (2025-2030)
  • Figure 40. Global Insurance Fraud Detection: by Component USD Million (2025-2030)
  • Figure 41. South America Insurance Fraud Detection Share (%), by Country
  • Figure 42. Asia Pacific Insurance Fraud Detection Share (%), by Country
  • Figure 43. Europe Insurance Fraud Detection Share (%), by Country
  • Figure 44. MEA Insurance Fraud Detection Share (%), by Country
  • Figure 45. North America Insurance Fraud Detection Share (%), by Country
List of companies from research coverage that are profiled in the study
  • IBM Corporation (United States)
  • Fair Issac Corporation (United States)
  • SAP SE (Germany)
  • PayPal Holdings, Inc. (United States)
  • BAE Systems PLC (United Kingdom)
  • RELX PLC (United Kingdom)
  • Fiserv, Inc. (United States)
  • Software AG (Germany)
  • ACI Worldwide, Inc. (United States)
  • Experian Information Solutions (United States)
Additional players considered in the study are as follows:
LexisNexis (United States)
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Key Highlights of Report


Apr 2024 233 Pages 78 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Global Insurance Fraud Detection Quantitative research analysis
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Frequently Asked Questions (FAQ):

Top performing companies in the Global Insurance Fraud Detection market are IBM Corporation (United States), Fair Issac Corporation (United States), SAP SE (Germany), PayPal Holdings, Inc. (United States), BAE Systems PLC (United Kingdom), RELX PLC (United Kingdom), Fiserv, Inc. (United States), Software AG (Germany), ACI Worldwide, Inc. (United States) and Experian Information Solutions (United States), to name a few.
is dominating the Insurance Fraud Detection Market.
"Lack Awareness Regarding the Insurance Fraud Detection Solutions " is seen as one of the major challenges by many Industry Players of Insurance Fraud Detection Market
The Insurance Fraud Detection market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get complete companies available in our research coverage.
The Insurance Fraud Detection market is expected to see a steady growth rate during projected year 2023 to 2030.

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