Fraud Detection System Comprehensive Study by Type (Statistical Parameter Calculation, AI-Based Techniques), Application (Banking and Financial Services, Ecommerce and Retail, Enterprises, IT & Telecom, Other), Tools (Machine Learning, Biometrics, Device Fingerprinting, 3-D Secure, Other), Deployment (Cloud-Based, On Premise) Players and Region - Global Market Outlook to 2027

Fraud Detection System Market by XX Submarkets | Forecast Years 2022-2027  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Market Snapshot:
Fraud detection is a collection of actions performed to stop the acquisition of money or property under false pretenses. Numerous businesses, including banking and insurance, use fraud detection techniques. Forging checks or using credit cards that have been stolen are examples of fraud in banking. Fraud monitoring is the process of continuously scanning all account activity and transactions to identify signs of fraud. Modern, risk-based anti-fraud systems can analyze vast amounts of data to spot anomalies and flag those transactions. Fraud Detection system is a implementation of a strategy to detect fraudulent transactions or banking actions and prevent these actions from causing financial and reputational damage to the customer.

Highlights from Fraud Detection System Market Study
AttributesDetails
Study Period2017-2027
Base Year2021
UnitValue (USD Million)


The key Players profiled in the report are Fraud.net (United States), ClearSale (Brazil), Amazon AWS (United States), Human Security (United States), Riskified (Israel), IBM (United States), Xanalys (United Kingdom), MarkMonitor (United States), Kount (United States) and LexisNexis (United States). Additionally, other players that are part of this comprehensive study are Iovation (United States), Signifyd (United States), Forter (United States), Agnovi (Canada), ScoutCMS (United States), FRISS (Netherlands) and FraudLabs Pro (Malaysia).

Geographic Breakdown and Segment Analysis
The Global Fraud Detection System market presents a comprehensive analysis of the Fraud Detection System market by product type (Statistical Parameter Calculation and AI-Based Techniques), by end-user/application (Banking and Financial Services, Ecommerce and Retail, Enterprises, IT & Telecom and Other), and by geography (North America, South America, Europe, Asia-Pacific and MEA) along with country level break-up. This section of our report presents a realistic picture of the Global Fraud Detection System industry. Investors and Players can easily understand the inherent opportunities and challenges for their products in geographical region of interest. For instance, while the holds majority of market share of the Fraud Detection System market

Analyst at AMA have segmented the market study of Global Fraud Detection System market by Type, Application and Region.

Influencing Trend:
Uses of Artificial Intelligence and Advance Machine Learning Algorithms in Fraud Detection and Innovation in IoT and Fifth Generation (5G) Technology

Market Growth Drivers:
Rising Number of Fraudulent Activities in Banking and other Financial Sector, Rising Number of Cyber Attacks in IT and Telecom Service Firms, Demand in Fraud Monitoring in E-Commerce and Retailing and Rising Concern about credit and Debit Card Frauds Among Individuals

Challenges:
Lack Of Skilled Professional for Fraud Detection, Lack of Providing a Good and Relevant Data, Complex and Overwhelming Machine Learning for Fraud Detection System and Lack of Proper Infrastructure to Support AI and ML Technology for Fraud Detection

Restraints:
High Cost Associated with Fraud Detection System and Risk of Data Leak Associated with Fraud Detection Systems

Opportunities:
Growth in Information Technology and Research and Development

Market Developments Activities:
27 July 2022, Human Security, a bot mitigation and fraud detection platform for enterprises, is merging with PerimeterX, a company focused on safeguarding web apps from account takeover and automated fraud. Terms of the deal were not disclosed. The combined entity will comprise nearly 500 employees, and it will eventually fall under the Human Security name once the two respective platforms are integrated ó though when that will be isnít yet clear.
On 11 October 2021, Amazon Fraud Detector is excited to announce the Transaction Fraud Insights model, a low-latency fraud detection machine learning (ML) model specifically designed to detect online card-not-present transaction fraud. Like other Amazon Fraud Detector models, Transaction Fraud Insights leverages more than 20 years of fraud detection expertise from Amazon and AWS. The new Transaction Fraud Insights model type detects up to 30% more fraudulent transactions and maintains its performance up to six times longer than Amazon Fraud Detectorís previous model type, Online Fraud Insights.

Regulatory Insights:
UK legal framework around data sharing is often described as highly complex. New legislation, such as the EU General Data Protection Regulation (GDPR) and Data Protection Act 2018 can create a nebulous system for public-sector organizations to navigate.

The market for Fraud Detection System is highly competitive with several global as well as local players in the market. The global players are trying various strategies such as Service innovation and using various marketing strategies to gain a higher market share.

Key Target Audience
Fraud Detection System Provider, New Entrants and Investors, Venture Capitalists, Government Bodies, Corporate Entities, Government and Private Research Organizations and Others

Report Objectives / Segmentation Covered

By Type
  • Statistical Parameter Calculation
  • AI-Based Techniques
By Application
  • Banking and Financial Services
  • Ecommerce and Retail
  • Enterprises
  • IT & Telecom
  • Other
By Tools
  • Machine Learning
  • Biometrics
  • Device Fingerprinting
  • 3-D Secure
  • Other

By Deployment
  • Cloud-Based
  • On Premise

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • 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. Rising Number of Fraudulent Activities in Banking and other Financial Sector
      • 3.2.2. Rising Number of Cyber Attacks in IT and Telecom Service Firms
      • 3.2.3. Demand in Fraud Monitoring in E-Commerce and Retailing
      • 3.2.4. Rising Concern about credit and Debit Card Frauds Among Individuals
    • 3.3. Market Challenges
      • 3.3.1. Lack Of Skilled Professional for Fraud Detection
      • 3.3.2. Lack of Providing a Good and Relevant Data
      • 3.3.3. Complex and Overwhelming Machine Learning for Fraud Detection System
      • 3.3.4. Lack of Proper Infrastructure to Support AI and ML Technology for Fraud Detection
    • 3.4. Market Trends
      • 3.4.1. Uses of Artificial Intelligence and Advance Machine Learning Algorithms in Fraud Detection
      • 3.4.2. Innovation in IoT and Fifth Generation (5G) Technology
  • 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 Detection System, by Type, Application, Tools, Deployment and Region (value and price ) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global Fraud Detection System (Value)
      • 5.2.1. Global Fraud Detection System by: Type (Value)
        • 5.2.1.1. Statistical Parameter Calculation
        • 5.2.1.2. AI-Based Techniques
      • 5.2.2. Global Fraud Detection System by: Application (Value)
        • 5.2.2.1. Banking and Financial Services
        • 5.2.2.2. Ecommerce and Retail
        • 5.2.2.3. Enterprises
        • 5.2.2.4. IT & Telecom
        • 5.2.2.5. Other
      • 5.2.3. Global Fraud Detection System by: Tools (Value)
        • 5.2.3.1. Machine Learning
        • 5.2.3.2. Biometrics
        • 5.2.3.3. Device Fingerprinting
        • 5.2.3.4. 3-D Secure
        • 5.2.3.5. Other
      • 5.2.4. Global Fraud Detection System by: Deployment (Value)
        • 5.2.4.1. Cloud-Based
        • 5.2.4.2. On Premise
      • 5.2.5. Global Fraud Detection System 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. Australia
          • 5.2.5.2.6. 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
    • 5.3. Global Fraud Detection System (Price)
      • 5.3.1. Global Fraud Detection System by: Type (Price)
  • 6. Fraud Detection System: 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 (2021)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Fraud.net (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. ClearSale (Brazil)
        • 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. Amazon AWS (United States)
        • 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. Human Security (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. Riskified (Israel)
        • 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 (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. Xanalys (United Kingdom)
        • 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. MarkMonitor (United States)
        • 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. Kount (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. LexisNexis (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 Detection System Sale, by Type, Application, Tools, Deployment and Region (value and price ) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global Fraud Detection System (Value)
      • 7.2.1. Global Fraud Detection System by: Type (Value)
        • 7.2.1.1. Statistical Parameter Calculation
        • 7.2.1.2. AI-Based Techniques
      • 7.2.2. Global Fraud Detection System by: Application (Value)
        • 7.2.2.1. Banking and Financial Services
        • 7.2.2.2. Ecommerce and Retail
        • 7.2.2.3. Enterprises
        • 7.2.2.4. IT & Telecom
        • 7.2.2.5. Other
      • 7.2.3. Global Fraud Detection System by: Tools (Value)
        • 7.2.3.1. Machine Learning
        • 7.2.3.2. Biometrics
        • 7.2.3.3. Device Fingerprinting
        • 7.2.3.4. 3-D Secure
        • 7.2.3.5. Other
      • 7.2.4. Global Fraud Detection System by: Deployment (Value)
        • 7.2.4.1. Cloud-Based
        • 7.2.4.2. On Premise
      • 7.2.5. Global Fraud Detection System 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. Australia
          • 7.2.5.2.6. 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
    • 7.3. Global Fraud Detection System (Price)
      • 7.3.1. Global Fraud Detection System by: Type (Price)
  • 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 Detection System: by Type(USD Million)
  • Table 2. Fraud Detection System Statistical Parameter Calculation , by Region USD Million (2016-2021)
  • Table 3. Fraud Detection System AI-Based Techniques , by Region USD Million (2016-2021)
  • Table 4. Fraud Detection System: by Application(USD Million)
  • Table 5. Fraud Detection System Banking and Financial Services , by Region USD Million (2016-2021)
  • Table 6. Fraud Detection System Ecommerce and Retail , by Region USD Million (2016-2021)
  • Table 7. Fraud Detection System Enterprises , by Region USD Million (2016-2021)
  • Table 8. Fraud Detection System IT & Telecom , by Region USD Million (2016-2021)
  • Table 9. Fraud Detection System Other , by Region USD Million (2016-2021)
  • Table 10. Fraud Detection System: by Tools(USD Million)
  • Table 11. Fraud Detection System Machine Learning , by Region USD Million (2016-2021)
  • Table 12. Fraud Detection System Biometrics , by Region USD Million (2016-2021)
  • Table 13. Fraud Detection System Device Fingerprinting , by Region USD Million (2016-2021)
  • Table 14. Fraud Detection System 3-D Secure , by Region USD Million (2016-2021)
  • Table 15. Fraud Detection System Other , by Region USD Million (2016-2021)
  • Table 16. Fraud Detection System: by Deployment(USD Million)
  • Table 17. Fraud Detection System Cloud-Based , by Region USD Million (2016-2021)
  • Table 18. Fraud Detection System On Premise , by Region USD Million (2016-2021)
  • Table 19. South America Fraud Detection System, by Country USD Million (2016-2021)
  • Table 20. South America Fraud Detection System, by Type USD Million (2016-2021)
  • Table 21. South America Fraud Detection System, by Application USD Million (2016-2021)
  • Table 22. South America Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 23. South America Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 24. Brazil Fraud Detection System, by Type USD Million (2016-2021)
  • Table 25. Brazil Fraud Detection System, by Application USD Million (2016-2021)
  • Table 26. Brazil Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 27. Brazil Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 28. Argentina Fraud Detection System, by Type USD Million (2016-2021)
  • Table 29. Argentina Fraud Detection System, by Application USD Million (2016-2021)
  • Table 30. Argentina Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 31. Argentina Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 32. Rest of South America Fraud Detection System, by Type USD Million (2016-2021)
  • Table 33. Rest of South America Fraud Detection System, by Application USD Million (2016-2021)
  • Table 34. Rest of South America Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 35. Rest of South America Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 36. Asia Pacific Fraud Detection System, by Country USD Million (2016-2021)
  • Table 37. Asia Pacific Fraud Detection System, by Type USD Million (2016-2021)
  • Table 38. Asia Pacific Fraud Detection System, by Application USD Million (2016-2021)
  • Table 39. Asia Pacific Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 40. Asia Pacific Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 41. China Fraud Detection System, by Type USD Million (2016-2021)
  • Table 42. China Fraud Detection System, by Application USD Million (2016-2021)
  • Table 43. China Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 44. China Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 45. Japan Fraud Detection System, by Type USD Million (2016-2021)
  • Table 46. Japan Fraud Detection System, by Application USD Million (2016-2021)
  • Table 47. Japan Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 48. Japan Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 49. India Fraud Detection System, by Type USD Million (2016-2021)
  • Table 50. India Fraud Detection System, by Application USD Million (2016-2021)
  • Table 51. India Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 52. India Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 53. South Korea Fraud Detection System, by Type USD Million (2016-2021)
  • Table 54. South Korea Fraud Detection System, by Application USD Million (2016-2021)
  • Table 55. South Korea Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 56. South Korea Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 57. Australia Fraud Detection System, by Type USD Million (2016-2021)
  • Table 58. Australia Fraud Detection System, by Application USD Million (2016-2021)
  • Table 59. Australia Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 60. Australia Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 61. Rest of Asia-Pacific Fraud Detection System, by Type USD Million (2016-2021)
  • Table 62. Rest of Asia-Pacific Fraud Detection System, by Application USD Million (2016-2021)
  • Table 63. Rest of Asia-Pacific Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 64. Rest of Asia-Pacific Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 65. Europe Fraud Detection System, by Country USD Million (2016-2021)
  • Table 66. Europe Fraud Detection System, by Type USD Million (2016-2021)
  • Table 67. Europe Fraud Detection System, by Application USD Million (2016-2021)
  • Table 68. Europe Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 69. Europe Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 70. Germany Fraud Detection System, by Type USD Million (2016-2021)
  • Table 71. Germany Fraud Detection System, by Application USD Million (2016-2021)
  • Table 72. Germany Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 73. Germany Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 74. France Fraud Detection System, by Type USD Million (2016-2021)
  • Table 75. France Fraud Detection System, by Application USD Million (2016-2021)
  • Table 76. France Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 77. France Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 78. Italy Fraud Detection System, by Type USD Million (2016-2021)
  • Table 79. Italy Fraud Detection System, by Application USD Million (2016-2021)
  • Table 80. Italy Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 81. Italy Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 82. United Kingdom Fraud Detection System, by Type USD Million (2016-2021)
  • Table 83. United Kingdom Fraud Detection System, by Application USD Million (2016-2021)
  • Table 84. United Kingdom Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 85. United Kingdom Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 86. Netherlands Fraud Detection System, by Type USD Million (2016-2021)
  • Table 87. Netherlands Fraud Detection System, by Application USD Million (2016-2021)
  • Table 88. Netherlands Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 89. Netherlands Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 90. Rest of Europe Fraud Detection System, by Type USD Million (2016-2021)
  • Table 91. Rest of Europe Fraud Detection System, by Application USD Million (2016-2021)
  • Table 92. Rest of Europe Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 93. Rest of Europe Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 94. MEA Fraud Detection System, by Country USD Million (2016-2021)
  • Table 95. MEA Fraud Detection System, by Type USD Million (2016-2021)
  • Table 96. MEA Fraud Detection System, by Application USD Million (2016-2021)
  • Table 97. MEA Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 98. MEA Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 99. Middle East Fraud Detection System, by Type USD Million (2016-2021)
  • Table 100. Middle East Fraud Detection System, by Application USD Million (2016-2021)
  • Table 101. Middle East Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 102. Middle East Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 103. Africa Fraud Detection System, by Type USD Million (2016-2021)
  • Table 104. Africa Fraud Detection System, by Application USD Million (2016-2021)
  • Table 105. Africa Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 106. Africa Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 107. North America Fraud Detection System, by Country USD Million (2016-2021)
  • Table 108. North America Fraud Detection System, by Type USD Million (2016-2021)
  • Table 109. North America Fraud Detection System, by Application USD Million (2016-2021)
  • Table 110. North America Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 111. North America Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 112. United States Fraud Detection System, by Type USD Million (2016-2021)
  • Table 113. United States Fraud Detection System, by Application USD Million (2016-2021)
  • Table 114. United States Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 115. United States Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 116. Canada Fraud Detection System, by Type USD Million (2016-2021)
  • Table 117. Canada Fraud Detection System, by Application USD Million (2016-2021)
  • Table 118. Canada Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 119. Canada Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 120. Mexico Fraud Detection System, by Type USD Million (2016-2021)
  • Table 121. Mexico Fraud Detection System, by Application USD Million (2016-2021)
  • Table 122. Mexico Fraud Detection System, by Tools USD Million (2016-2021)
  • Table 123. Mexico Fraud Detection System, by Deployment USD Million (2016-2021)
  • Table 124. Fraud Detection System: by Type(USD/Units)
  • Table 125. Company Basic Information, Sales Area and Its Competitors
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Fraud Detection System: by Type(USD Million)
  • Table 136. Fraud Detection System Statistical Parameter Calculation , by Region USD Million (2022-2027)
  • Table 137. Fraud Detection System AI-Based Techniques , by Region USD Million (2022-2027)
  • Table 138. Fraud Detection System: by Application(USD Million)
  • Table 139. Fraud Detection System Banking and Financial Services , by Region USD Million (2022-2027)
  • Table 140. Fraud Detection System Ecommerce and Retail , by Region USD Million (2022-2027)
  • Table 141. Fraud Detection System Enterprises , by Region USD Million (2022-2027)
  • Table 142. Fraud Detection System IT & Telecom , by Region USD Million (2022-2027)
  • Table 143. Fraud Detection System Other , by Region USD Million (2022-2027)
  • Table 144. Fraud Detection System: by Tools(USD Million)
  • Table 145. Fraud Detection System Machine Learning , by Region USD Million (2022-2027)
  • Table 146. Fraud Detection System Biometrics , by Region USD Million (2022-2027)
  • Table 147. Fraud Detection System Device Fingerprinting , by Region USD Million (2022-2027)
  • Table 148. Fraud Detection System 3-D Secure , by Region USD Million (2022-2027)
  • Table 149. Fraud Detection System Other , by Region USD Million (2022-2027)
  • Table 150. Fraud Detection System: by Deployment(USD Million)
  • Table 151. Fraud Detection System Cloud-Based , by Region USD Million (2022-2027)
  • Table 152. Fraud Detection System On Premise , by Region USD Million (2022-2027)
  • Table 153. South America Fraud Detection System, by Country USD Million (2022-2027)
  • Table 154. South America Fraud Detection System, by Type USD Million (2022-2027)
  • Table 155. South America Fraud Detection System, by Application USD Million (2022-2027)
  • Table 156. South America Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 157. South America Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 158. Brazil Fraud Detection System, by Type USD Million (2022-2027)
  • Table 159. Brazil Fraud Detection System, by Application USD Million (2022-2027)
  • Table 160. Brazil Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 161. Brazil Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 162. Argentina Fraud Detection System, by Type USD Million (2022-2027)
  • Table 163. Argentina Fraud Detection System, by Application USD Million (2022-2027)
  • Table 164. Argentina Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 165. Argentina Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 166. Rest of South America Fraud Detection System, by Type USD Million (2022-2027)
  • Table 167. Rest of South America Fraud Detection System, by Application USD Million (2022-2027)
  • Table 168. Rest of South America Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 169. Rest of South America Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 170. Asia Pacific Fraud Detection System, by Country USD Million (2022-2027)
  • Table 171. Asia Pacific Fraud Detection System, by Type USD Million (2022-2027)
  • Table 172. Asia Pacific Fraud Detection System, by Application USD Million (2022-2027)
  • Table 173. Asia Pacific Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 174. Asia Pacific Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 175. China Fraud Detection System, by Type USD Million (2022-2027)
  • Table 176. China Fraud Detection System, by Application USD Million (2022-2027)
  • Table 177. China Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 178. China Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 179. Japan Fraud Detection System, by Type USD Million (2022-2027)
  • Table 180. Japan Fraud Detection System, by Application USD Million (2022-2027)
  • Table 181. Japan Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 182. Japan Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 183. India Fraud Detection System, by Type USD Million (2022-2027)
  • Table 184. India Fraud Detection System, by Application USD Million (2022-2027)
  • Table 185. India Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 186. India Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 187. South Korea Fraud Detection System, by Type USD Million (2022-2027)
  • Table 188. South Korea Fraud Detection System, by Application USD Million (2022-2027)
  • Table 189. South Korea Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 190. South Korea Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 191. Australia Fraud Detection System, by Type USD Million (2022-2027)
  • Table 192. Australia Fraud Detection System, by Application USD Million (2022-2027)
  • Table 193. Australia Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 194. Australia Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 195. Rest of Asia-Pacific Fraud Detection System, by Type USD Million (2022-2027)
  • Table 196. Rest of Asia-Pacific Fraud Detection System, by Application USD Million (2022-2027)
  • Table 197. Rest of Asia-Pacific Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 198. Rest of Asia-Pacific Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 199. Europe Fraud Detection System, by Country USD Million (2022-2027)
  • Table 200. Europe Fraud Detection System, by Type USD Million (2022-2027)
  • Table 201. Europe Fraud Detection System, by Application USD Million (2022-2027)
  • Table 202. Europe Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 203. Europe Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 204. Germany Fraud Detection System, by Type USD Million (2022-2027)
  • Table 205. Germany Fraud Detection System, by Application USD Million (2022-2027)
  • Table 206. Germany Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 207. Germany Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 208. France Fraud Detection System, by Type USD Million (2022-2027)
  • Table 209. France Fraud Detection System, by Application USD Million (2022-2027)
  • Table 210. France Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 211. France Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 212. Italy Fraud Detection System, by Type USD Million (2022-2027)
  • Table 213. Italy Fraud Detection System, by Application USD Million (2022-2027)
  • Table 214. Italy Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 215. Italy Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 216. United Kingdom Fraud Detection System, by Type USD Million (2022-2027)
  • Table 217. United Kingdom Fraud Detection System, by Application USD Million (2022-2027)
  • Table 218. United Kingdom Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 219. United Kingdom Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 220. Netherlands Fraud Detection System, by Type USD Million (2022-2027)
  • Table 221. Netherlands Fraud Detection System, by Application USD Million (2022-2027)
  • Table 222. Netherlands Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 223. Netherlands Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 224. Rest of Europe Fraud Detection System, by Type USD Million (2022-2027)
  • Table 225. Rest of Europe Fraud Detection System, by Application USD Million (2022-2027)
  • Table 226. Rest of Europe Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 227. Rest of Europe Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 228. MEA Fraud Detection System, by Country USD Million (2022-2027)
  • Table 229. MEA Fraud Detection System, by Type USD Million (2022-2027)
  • Table 230. MEA Fraud Detection System, by Application USD Million (2022-2027)
  • Table 231. MEA Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 232. MEA Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 233. Middle East Fraud Detection System, by Type USD Million (2022-2027)
  • Table 234. Middle East Fraud Detection System, by Application USD Million (2022-2027)
  • Table 235. Middle East Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 236. Middle East Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 237. Africa Fraud Detection System, by Type USD Million (2022-2027)
  • Table 238. Africa Fraud Detection System, by Application USD Million (2022-2027)
  • Table 239. Africa Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 240. Africa Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 241. North America Fraud Detection System, by Country USD Million (2022-2027)
  • Table 242. North America Fraud Detection System, by Type USD Million (2022-2027)
  • Table 243. North America Fraud Detection System, by Application USD Million (2022-2027)
  • Table 244. North America Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 245. North America Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 246. United States Fraud Detection System, by Type USD Million (2022-2027)
  • Table 247. United States Fraud Detection System, by Application USD Million (2022-2027)
  • Table 248. United States Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 249. United States Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 250. Canada Fraud Detection System, by Type USD Million (2022-2027)
  • Table 251. Canada Fraud Detection System, by Application USD Million (2022-2027)
  • Table 252. Canada Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 253. Canada Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 254. Mexico Fraud Detection System, by Type USD Million (2022-2027)
  • Table 255. Mexico Fraud Detection System, by Application USD Million (2022-2027)
  • Table 256. Mexico Fraud Detection System, by Tools USD Million (2022-2027)
  • Table 257. Mexico Fraud Detection System, by Deployment USD Million (2022-2027)
  • Table 258. Fraud Detection System: by Type(USD/Units)
  • Table 259. Research Programs/Design for This Report
  • Table 260. Key Data Information from Secondary Sources
  • Table 261. 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 Detection System: by Type USD Million (2016-2021)
  • Figure 5. Global Fraud Detection System: by Application USD Million (2016-2021)
  • Figure 6. Global Fraud Detection System: by Tools USD Million (2016-2021)
  • Figure 7. Global Fraud Detection System: by Deployment USD Million (2016-2021)
  • Figure 8. South America Fraud Detection System Share (%), by Country
  • Figure 9. Asia Pacific Fraud Detection System Share (%), by Country
  • Figure 10. Europe Fraud Detection System Share (%), by Country
  • Figure 11. MEA Fraud Detection System Share (%), by Country
  • Figure 12. North America Fraud Detection System Share (%), by Country
  • Figure 13. Global Fraud Detection System: by Type USD/Units (2016-2021)
  • Figure 14. Global Fraud Detection System share by Players 2021 (%)
  • Figure 15. Global Fraud Detection System share by Players (Top 3) 2021(%)
  • Figure 16. Global Fraud Detection System share by Players (Top 5) 2021(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. Fraud.net (United States) Revenue, Net Income and Gross profit
  • Figure 19. Fraud.net (United States) Revenue: by Geography 2021
  • Figure 20. ClearSale (Brazil) Revenue, Net Income and Gross profit
  • Figure 21. ClearSale (Brazil) Revenue: by Geography 2021
  • Figure 22. Amazon AWS (United States) Revenue, Net Income and Gross profit
  • Figure 23. Amazon AWS (United States) Revenue: by Geography 2021
  • Figure 24. Human Security (United States) Revenue, Net Income and Gross profit
  • Figure 25. Human Security (United States) Revenue: by Geography 2021
  • Figure 26. Riskified (Israel) Revenue, Net Income and Gross profit
  • Figure 27. Riskified (Israel) Revenue: by Geography 2021
  • Figure 28. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 29. IBM (United States) Revenue: by Geography 2021
  • Figure 30. Xanalys (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 31. Xanalys (United Kingdom) Revenue: by Geography 2021
  • Figure 32. MarkMonitor (United States) Revenue, Net Income and Gross profit
  • Figure 33. MarkMonitor (United States) Revenue: by Geography 2021
  • Figure 34. Kount (United States) Revenue, Net Income and Gross profit
  • Figure 35. Kount (United States) Revenue: by Geography 2021
  • Figure 36. LexisNexis (United States) Revenue, Net Income and Gross profit
  • Figure 37. LexisNexis (United States) Revenue: by Geography 2021
  • Figure 38. Global Fraud Detection System: by Type USD Million (2022-2027)
  • Figure 39. Global Fraud Detection System: by Application USD Million (2022-2027)
  • Figure 40. Global Fraud Detection System: by Tools USD Million (2022-2027)
  • Figure 41. Global Fraud Detection System: by Deployment USD Million (2022-2027)
  • Figure 42. South America Fraud Detection System Share (%), by Country
  • Figure 43. Asia Pacific Fraud Detection System Share (%), by Country
  • Figure 44. Europe Fraud Detection System Share (%), by Country
  • Figure 45. MEA Fraud Detection System Share (%), by Country
  • Figure 46. North America Fraud Detection System Share (%), by Country
  • Figure 47. Global Fraud Detection System: by Type USD/Units (2022-2027)
List of companies from research coverage that are profiled in the study
  • Fraud.net (United States)
  • ClearSale (Brazil)
  • Amazon AWS (United States)
  • Human Security (United States)
  • Riskified (Israel)
  • IBM (United States)
  • Xanalys (United Kingdom)
  • MarkMonitor (United States)
  • Kount (United States)
  • LexisNexis (United States)
Additional players considered in the study are as follows:
Iovation (United States) , Signifyd (United States) , Forter (United States) , Agnovi (Canada) , ScoutCMS (United States) , FRISS (Netherlands) , FraudLabs Pro (Malaysia)
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Sep 2022 210 Pages 83 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Due to pricing constraints we only profile limited players in the study that includes a mix list of leaders and emerging players, however for evaluation of market size the coverage includes 100+ players.
Yes, the study does represent market size by key business segment, application/end users and major geographies forecasted till 2027
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  • Lack Of Skilled Professional for Fraud Detection
  • Lack of Providing a Good and Relevant Data
  • Complex and Overwhelming Machine Learning for Fraud Detection System
  • Lack of Proper Infrastructure to Support AI and ML Technology for Fraud Detection

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