Global Fraud Hunters Market

Fraud Hunters Comprehensive Study by Type (Financial Statement Fraud, Healthcare, Insurance and Banking Fraud, Consumer Fraud, Intellectual Property Fraud, Others), Application (BFSI, Military, Government, Others), Organisation Size (SMEs, Large Organisations) Players and Region - Global Market Outlook to 2026

Fraud Hunters Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Market Snapshot:
Fraud Hunters refers to the process of searching down numerous probable scandals, scams, thefts, or data breaches that have occurred or will occur in a sensitive data environment. Financial crime against banks and other institutions is quickly increasing in the digital age. Rising incidents of financial and intellectual frauds as well as breach or leak of sensitive military data has led to concerned companies opting for advanced transaction systems and piecemeal fraud detection technologies. Because of the fraudsters are becoming more sophisticated, firms must carefully spot frauds using a variety of tactics. Geographically, North America is the largest market of the fraud hunters.

Segment Analysis
AMA Research have segmented the market of Global Fraud Hunters market by Type, Application and Region.

On the basis of geography, the market of Fraud Hunters has been segmented into 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).

Market Trend
Financial Statement Fraud Accounts for Largest Market Share

Market Drivers
Growing Demand for Transparency within Organisations, Expansion and Enhancement of Judicial Authority and Rise of Intellectual and Financial Theft as well as Growing Concern about Corruption

Opportunities
Intellectual Fraud Segment is Rising Rapidly due to Increasing Geopolitical Tensions between Countries

Restraints
  • High Costs and Special Experts Required of Fraud Examinations


In addition to the aforementioned factor, Growing Demand for Transparency within Organisations is expected to propel the growth of the market over the forecast period.

The key Players profiled in the study are Fiserv, Inc. (United States), Fair Isaac Corporation (United States), Experian Plc (Ireland), Equifax Inc. (United States), TransUnion (United States), IBM Corporation (United States), Oracle Corporation (United States), SAP SE (Germany), FIS (United States) and NCR Corporation (United States).

Report Objectives / Segmentation Covered

By Type
  • Financial Statement Fraud
  • Healthcare
  • Insurance and Banking Fraud
  • Consumer Fraud
  • Intellectual Property Fraud
  • Others
By Application
  • BFSI
  • Military
  • Government
  • Others
By Organisation Size
  • SMEs
  • Large Organisations

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. Growing Demand for Transparency within Organisations
      • 3.2.2. Expansion and Enhancement of Judicial Authority
      • 3.2.3. Rise of Intellectual and Financial Theft as well as Growing Concern about Corruption
    • 3.3. Market Challenges
      • 3.3.1. Lack of Trust in Auditing or Fraud Hunting Companies
      • 3.3.2. Unavailability or Lack of Specialised or Skilled Professionals in Developing Countries
    • 3.4. Market Trends
      • 3.4.1. Financial Statement Fraud Accounts for Largest Market Share
  • 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 Fraud Hunters, by Type, Application, Organisation Size and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Fraud Hunters (Value)
      • 5.2.1. Global Fraud Hunters by: Type (Value)
        • 5.2.1.1. Financial Statement Fraud
        • 5.2.1.2. Healthcare
        • 5.2.1.3. Insurance and Banking Fraud
        • 5.2.1.4. Consumer Fraud
        • 5.2.1.5. Intellectual Property Fraud
        • 5.2.1.6. Others
      • 5.2.2. Global Fraud Hunters by: Application (Value)
        • 5.2.2.1. BFSI
        • 5.2.2.2. Military
        • 5.2.2.3. Government
        • 5.2.2.4. Others
      • 5.2.3. Global Fraud Hunters by: Organisation Size (Value)
        • 5.2.3.1. SMEs
        • 5.2.3.2. Large Organisations
      • 5.2.4. Global Fraud Hunters Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
  • 6. Fraud Hunters: 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 (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Fiserv, Inc. (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 Isaac 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. Experian Plc (Ireland)
        • 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. Equifax 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. TransUnion (United States)
        • 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. IBM Corporation (United States)
        • 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. Oracle Corporation (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. SAP SE (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. FIS (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. NCR Corporation (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 Fraud Hunters Sale, by Type, Application, Organisation Size and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Fraud Hunters (Value)
      • 7.2.1. Global Fraud Hunters by: Type (Value)
        • 7.2.1.1. Financial Statement Fraud
        • 7.2.1.2. Healthcare
        • 7.2.1.3. Insurance and Banking Fraud
        • 7.2.1.4. Consumer Fraud
        • 7.2.1.5. Intellectual Property Fraud
        • 7.2.1.6. Others
      • 7.2.2. Global Fraud Hunters by: Application (Value)
        • 7.2.2.1. BFSI
        • 7.2.2.2. Military
        • 7.2.2.3. Government
        • 7.2.2.4. Others
      • 7.2.3. Global Fraud Hunters by: Organisation Size (Value)
        • 7.2.3.1. SMEs
        • 7.2.3.2. Large Organisations
      • 7.2.4. Global Fraud Hunters Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. 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. Fraud Hunters: by Type(USD Million)
  • Table 2. Fraud Hunters Financial Statement Fraud , by Region USD Million (2015-2020)
  • Table 3. Fraud Hunters Healthcare , by Region USD Million (2015-2020)
  • Table 4. Fraud Hunters Insurance and Banking Fraud , by Region USD Million (2015-2020)
  • Table 5. Fraud Hunters Consumer Fraud , by Region USD Million (2015-2020)
  • Table 6. Fraud Hunters Intellectual Property Fraud , by Region USD Million (2015-2020)
  • Table 7. Fraud Hunters Others , by Region USD Million (2015-2020)
  • Table 8. Fraud Hunters: by Application(USD Million)
  • Table 9. Fraud Hunters BFSI , by Region USD Million (2015-2020)
  • Table 10. Fraud Hunters Military , by Region USD Million (2015-2020)
  • Table 11. Fraud Hunters Government , by Region USD Million (2015-2020)
  • Table 12. Fraud Hunters Others , by Region USD Million (2015-2020)
  • Table 13. Fraud Hunters: by Organisation Size(USD Million)
  • Table 14. Fraud Hunters SMEs , by Region USD Million (2015-2020)
  • Table 15. Fraud Hunters Large Organisations , by Region USD Million (2015-2020)
  • Table 16. South America Fraud Hunters, by Country USD Million (2015-2020)
  • Table 17. South America Fraud Hunters, by Type USD Million (2015-2020)
  • Table 18. South America Fraud Hunters, by Application USD Million (2015-2020)
  • Table 19. South America Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 20. Brazil Fraud Hunters, by Type USD Million (2015-2020)
  • Table 21. Brazil Fraud Hunters, by Application USD Million (2015-2020)
  • Table 22. Brazil Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 23. Argentina Fraud Hunters, by Type USD Million (2015-2020)
  • Table 24. Argentina Fraud Hunters, by Application USD Million (2015-2020)
  • Table 25. Argentina Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 26. Rest of South America Fraud Hunters, by Type USD Million (2015-2020)
  • Table 27. Rest of South America Fraud Hunters, by Application USD Million (2015-2020)
  • Table 28. Rest of South America Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 29. Asia Pacific Fraud Hunters, by Country USD Million (2015-2020)
  • Table 30. Asia Pacific Fraud Hunters, by Type USD Million (2015-2020)
  • Table 31. Asia Pacific Fraud Hunters, by Application USD Million (2015-2020)
  • Table 32. Asia Pacific Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 33. China Fraud Hunters, by Type USD Million (2015-2020)
  • Table 34. China Fraud Hunters, by Application USD Million (2015-2020)
  • Table 35. China Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 36. Japan Fraud Hunters, by Type USD Million (2015-2020)
  • Table 37. Japan Fraud Hunters, by Application USD Million (2015-2020)
  • Table 38. Japan Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 39. India Fraud Hunters, by Type USD Million (2015-2020)
  • Table 40. India Fraud Hunters, by Application USD Million (2015-2020)
  • Table 41. India Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 42. South Korea Fraud Hunters, by Type USD Million (2015-2020)
  • Table 43. South Korea Fraud Hunters, by Application USD Million (2015-2020)
  • Table 44. South Korea Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 45. Taiwan Fraud Hunters, by Type USD Million (2015-2020)
  • Table 46. Taiwan Fraud Hunters, by Application USD Million (2015-2020)
  • Table 47. Taiwan Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 48. Australia Fraud Hunters, by Type USD Million (2015-2020)
  • Table 49. Australia Fraud Hunters, by Application USD Million (2015-2020)
  • Table 50. Australia Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 51. Rest of Asia-Pacific Fraud Hunters, by Type USD Million (2015-2020)
  • Table 52. Rest of Asia-Pacific Fraud Hunters, by Application USD Million (2015-2020)
  • Table 53. Rest of Asia-Pacific Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 54. Europe Fraud Hunters, by Country USD Million (2015-2020)
  • Table 55. Europe Fraud Hunters, by Type USD Million (2015-2020)
  • Table 56. Europe Fraud Hunters, by Application USD Million (2015-2020)
  • Table 57. Europe Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 58. Germany Fraud Hunters, by Type USD Million (2015-2020)
  • Table 59. Germany Fraud Hunters, by Application USD Million (2015-2020)
  • Table 60. Germany Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 61. France Fraud Hunters, by Type USD Million (2015-2020)
  • Table 62. France Fraud Hunters, by Application USD Million (2015-2020)
  • Table 63. France Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 64. Italy Fraud Hunters, by Type USD Million (2015-2020)
  • Table 65. Italy Fraud Hunters, by Application USD Million (2015-2020)
  • Table 66. Italy Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 67. United Kingdom Fraud Hunters, by Type USD Million (2015-2020)
  • Table 68. United Kingdom Fraud Hunters, by Application USD Million (2015-2020)
  • Table 69. United Kingdom Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 70. Netherlands Fraud Hunters, by Type USD Million (2015-2020)
  • Table 71. Netherlands Fraud Hunters, by Application USD Million (2015-2020)
  • Table 72. Netherlands Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 73. Rest of Europe Fraud Hunters, by Type USD Million (2015-2020)
  • Table 74. Rest of Europe Fraud Hunters, by Application USD Million (2015-2020)
  • Table 75. Rest of Europe Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 76. MEA Fraud Hunters, by Country USD Million (2015-2020)
  • Table 77. MEA Fraud Hunters, by Type USD Million (2015-2020)
  • Table 78. MEA Fraud Hunters, by Application USD Million (2015-2020)
  • Table 79. MEA Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 80. Middle East Fraud Hunters, by Type USD Million (2015-2020)
  • Table 81. Middle East Fraud Hunters, by Application USD Million (2015-2020)
  • Table 82. Middle East Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 83. Africa Fraud Hunters, by Type USD Million (2015-2020)
  • Table 84. Africa Fraud Hunters, by Application USD Million (2015-2020)
  • Table 85. Africa Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 86. North America Fraud Hunters, by Country USD Million (2015-2020)
  • Table 87. North America Fraud Hunters, by Type USD Million (2015-2020)
  • Table 88. North America Fraud Hunters, by Application USD Million (2015-2020)
  • Table 89. North America Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 90. United States Fraud Hunters, by Type USD Million (2015-2020)
  • Table 91. United States Fraud Hunters, by Application USD Million (2015-2020)
  • Table 92. United States Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 93. Canada Fraud Hunters, by Type USD Million (2015-2020)
  • Table 94. Canada Fraud Hunters, by Application USD Million (2015-2020)
  • Table 95. Canada Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 96. Mexico Fraud Hunters, by Type USD Million (2015-2020)
  • Table 97. Mexico Fraud Hunters, by Application USD Million (2015-2020)
  • Table 98. Mexico Fraud Hunters, by Organisation Size USD Million (2015-2020)
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. Fraud Hunters: by Type(USD Million)
  • Table 110. Fraud Hunters Financial Statement Fraud , by Region USD Million (2021-2026)
  • Table 111. Fraud Hunters Healthcare , by Region USD Million (2021-2026)
  • Table 112. Fraud Hunters Insurance and Banking Fraud , by Region USD Million (2021-2026)
  • Table 113. Fraud Hunters Consumer Fraud , by Region USD Million (2021-2026)
  • Table 114. Fraud Hunters Intellectual Property Fraud , by Region USD Million (2021-2026)
  • Table 115. Fraud Hunters Others , by Region USD Million (2021-2026)
  • Table 116. Fraud Hunters: by Application(USD Million)
  • Table 117. Fraud Hunters BFSI , by Region USD Million (2021-2026)
  • Table 118. Fraud Hunters Military , by Region USD Million (2021-2026)
  • Table 119. Fraud Hunters Government , by Region USD Million (2021-2026)
  • Table 120. Fraud Hunters Others , by Region USD Million (2021-2026)
  • Table 121. Fraud Hunters: by Organisation Size(USD Million)
  • Table 122. Fraud Hunters SMEs , by Region USD Million (2021-2026)
  • Table 123. Fraud Hunters Large Organisations , by Region USD Million (2021-2026)
  • Table 124. South America Fraud Hunters, by Country USD Million (2021-2026)
  • Table 125. South America Fraud Hunters, by Type USD Million (2021-2026)
  • Table 126. South America Fraud Hunters, by Application USD Million (2021-2026)
  • Table 127. South America Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 128. Brazil Fraud Hunters, by Type USD Million (2021-2026)
  • Table 129. Brazil Fraud Hunters, by Application USD Million (2021-2026)
  • Table 130. Brazil Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 131. Argentina Fraud Hunters, by Type USD Million (2021-2026)
  • Table 132. Argentina Fraud Hunters, by Application USD Million (2021-2026)
  • Table 133. Argentina Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 134. Rest of South America Fraud Hunters, by Type USD Million (2021-2026)
  • Table 135. Rest of South America Fraud Hunters, by Application USD Million (2021-2026)
  • Table 136. Rest of South America Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 137. Asia Pacific Fraud Hunters, by Country USD Million (2021-2026)
  • Table 138. Asia Pacific Fraud Hunters, by Type USD Million (2021-2026)
  • Table 139. Asia Pacific Fraud Hunters, by Application USD Million (2021-2026)
  • Table 140. Asia Pacific Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 141. China Fraud Hunters, by Type USD Million (2021-2026)
  • Table 142. China Fraud Hunters, by Application USD Million (2021-2026)
  • Table 143. China Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 144. Japan Fraud Hunters, by Type USD Million (2021-2026)
  • Table 145. Japan Fraud Hunters, by Application USD Million (2021-2026)
  • Table 146. Japan Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 147. India Fraud Hunters, by Type USD Million (2021-2026)
  • Table 148. India Fraud Hunters, by Application USD Million (2021-2026)
  • Table 149. India Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 150. South Korea Fraud Hunters, by Type USD Million (2021-2026)
  • Table 151. South Korea Fraud Hunters, by Application USD Million (2021-2026)
  • Table 152. South Korea Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 153. Taiwan Fraud Hunters, by Type USD Million (2021-2026)
  • Table 154. Taiwan Fraud Hunters, by Application USD Million (2021-2026)
  • Table 155. Taiwan Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 156. Australia Fraud Hunters, by Type USD Million (2021-2026)
  • Table 157. Australia Fraud Hunters, by Application USD Million (2021-2026)
  • Table 158. Australia Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 159. Rest of Asia-Pacific Fraud Hunters, by Type USD Million (2021-2026)
  • Table 160. Rest of Asia-Pacific Fraud Hunters, by Application USD Million (2021-2026)
  • Table 161. Rest of Asia-Pacific Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 162. Europe Fraud Hunters, by Country USD Million (2021-2026)
  • Table 163. Europe Fraud Hunters, by Type USD Million (2021-2026)
  • Table 164. Europe Fraud Hunters, by Application USD Million (2021-2026)
  • Table 165. Europe Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 166. Germany Fraud Hunters, by Type USD Million (2021-2026)
  • Table 167. Germany Fraud Hunters, by Application USD Million (2021-2026)
  • Table 168. Germany Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 169. France Fraud Hunters, by Type USD Million (2021-2026)
  • Table 170. France Fraud Hunters, by Application USD Million (2021-2026)
  • Table 171. France Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 172. Italy Fraud Hunters, by Type USD Million (2021-2026)
  • Table 173. Italy Fraud Hunters, by Application USD Million (2021-2026)
  • Table 174. Italy Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 175. United Kingdom Fraud Hunters, by Type USD Million (2021-2026)
  • Table 176. United Kingdom Fraud Hunters, by Application USD Million (2021-2026)
  • Table 177. United Kingdom Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 178. Netherlands Fraud Hunters, by Type USD Million (2021-2026)
  • Table 179. Netherlands Fraud Hunters, by Application USD Million (2021-2026)
  • Table 180. Netherlands Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 181. Rest of Europe Fraud Hunters, by Type USD Million (2021-2026)
  • Table 182. Rest of Europe Fraud Hunters, by Application USD Million (2021-2026)
  • Table 183. Rest of Europe Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 184. MEA Fraud Hunters, by Country USD Million (2021-2026)
  • Table 185. MEA Fraud Hunters, by Type USD Million (2021-2026)
  • Table 186. MEA Fraud Hunters, by Application USD Million (2021-2026)
  • Table 187. MEA Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 188. Middle East Fraud Hunters, by Type USD Million (2021-2026)
  • Table 189. Middle East Fraud Hunters, by Application USD Million (2021-2026)
  • Table 190. Middle East Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 191. Africa Fraud Hunters, by Type USD Million (2021-2026)
  • Table 192. Africa Fraud Hunters, by Application USD Million (2021-2026)
  • Table 193. Africa Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 194. North America Fraud Hunters, by Country USD Million (2021-2026)
  • Table 195. North America Fraud Hunters, by Type USD Million (2021-2026)
  • Table 196. North America Fraud Hunters, by Application USD Million (2021-2026)
  • Table 197. North America Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 198. United States Fraud Hunters, by Type USD Million (2021-2026)
  • Table 199. United States Fraud Hunters, by Application USD Million (2021-2026)
  • Table 200. United States Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 201. Canada Fraud Hunters, by Type USD Million (2021-2026)
  • Table 202. Canada Fraud Hunters, by Application USD Million (2021-2026)
  • Table 203. Canada Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 204. Mexico Fraud Hunters, by Type USD Million (2021-2026)
  • Table 205. Mexico Fraud Hunters, by Application USD Million (2021-2026)
  • Table 206. Mexico Fraud Hunters, by Organisation Size USD Million (2021-2026)
  • Table 207. Research Programs/Design for This Report
  • Table 208. Key Data Information from Secondary Sources
  • Table 209. 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 Fraud Hunters: by Type USD Million (2015-2020)
  • Figure 5. Global Fraud Hunters: by Application USD Million (2015-2020)
  • Figure 6. Global Fraud Hunters: by Organisation Size USD Million (2015-2020)
  • Figure 7. South America Fraud Hunters Share (%), by Country
  • Figure 8. Asia Pacific Fraud Hunters Share (%), by Country
  • Figure 9. Europe Fraud Hunters Share (%), by Country
  • Figure 10. MEA Fraud Hunters Share (%), by Country
  • Figure 11. North America Fraud Hunters Share (%), by Country
  • Figure 12. Global Fraud Hunters share by Players 2020 (%)
  • Figure 13. Global Fraud Hunters share by Players (Top 3) 2020(%)
  • Figure 14. Global Fraud Hunters share by Players (Top 5) 2020(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Fiserv, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 17. Fiserv, Inc. (United States) Revenue: by Geography 2020
  • Figure 18. Fair Isaac Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 19. Fair Isaac Corporation (United States) Revenue: by Geography 2020
  • Figure 20. Experian Plc (Ireland) Revenue, Net Income and Gross profit
  • Figure 21. Experian Plc (Ireland) Revenue: by Geography 2020
  • Figure 22. Equifax Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 23. Equifax Inc. (United States) Revenue: by Geography 2020
  • Figure 24. TransUnion (United States) Revenue, Net Income and Gross profit
  • Figure 25. TransUnion (United States) Revenue: by Geography 2020
  • Figure 26. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 27. IBM Corporation (United States) Revenue: by Geography 2020
  • Figure 28. Oracle Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 29. Oracle Corporation (United States) Revenue: by Geography 2020
  • Figure 30. SAP SE (Germany) Revenue, Net Income and Gross profit
  • Figure 31. SAP SE (Germany) Revenue: by Geography 2020
  • Figure 32. FIS (United States) Revenue, Net Income and Gross profit
  • Figure 33. FIS (United States) Revenue: by Geography 2020
  • Figure 34. NCR Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 35. NCR Corporation (United States) Revenue: by Geography 2020
  • Figure 36. Global Fraud Hunters: by Type USD Million (2021-2026)
  • Figure 37. Global Fraud Hunters: by Application USD Million (2021-2026)
  • Figure 38. Global Fraud Hunters: by Organisation Size USD Million (2021-2026)
  • Figure 39. South America Fraud Hunters Share (%), by Country
  • Figure 40. Asia Pacific Fraud Hunters Share (%), by Country
  • Figure 41. Europe Fraud Hunters Share (%), by Country
  • Figure 42. MEA Fraud Hunters Share (%), by Country
  • Figure 43. North America Fraud Hunters Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Fiserv, Inc. (United States)
  • Fair Isaac Corporation (United States)
  • Experian Plc (Ireland)
  • Equifax Inc. (United States)
  • TransUnion (United States)
  • IBM Corporation (United States)
  • Oracle Corporation (United States)
  • SAP SE (Germany)
  • FIS (United States)
  • NCR Corporation (United States)
Additional players considered in the study are as follows:
SAS Institute Inc. (United States) , ACI Worldwide, Inc. (United States) , Informatica (United States)
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Aug 2021 200 Pages 55 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Fraud Hunters Market Quantitative research analysis
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Frequently Asked Questions (FAQ):

The Fraud Hunters market is expected to see a CAGR of % during projected year 2020 to 2026.
Top performing companies in the Global Fraud Hunters market are Fiserv, Inc. (United States), Fair Isaac Corporation (United States), Experian Plc (Ireland), Equifax Inc. (United States), TransUnion (United States), IBM Corporation (United States), Oracle Corporation (United States), SAP SE (Germany), FIS (United States) and NCR Corporation (United States), to name a few.
is dominating segment of Fraud Hunters Market in 2020.

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