Global Fraud Analytics Software
Global Fraud Analytics Software

Fraud Analytics Software Comprehensive Study by Type (Predictive Analytics Software, Customer Analytics Software, Social Media Analytics Software, Big Data Analytics Software, Behavioral Analytics Software), Application (Telecommunication, Government/Public sector, Healthcare, Real Estate, Energy and Power, Manufacturing, Others), Organization Size (SMEs Enterprises, Large Enterprises), Deployment Type (Cloud, On-premises) Players and Region - Global Market Outlook to 2025

Fraud Analytics Software Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025  

Sep 2020 Edition 206 Pages 200 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Industry Background:
Fraud analytics software, is a hybrid approach to fraud detection and prevention, uses numerous techniques such as advanced analytics with embedded machine learning, artificial intelligence (AI) and combined with traditional detection method to identify more suspicious activity and unknown patterns. Moreover, it analyse each transaction in real time, and searching for unusual patterns that may suggest fraudulent behavior and stopping transactions before fraud can occur, as well as evolve and adapt over time.This growth is primarily driven by Increasing Use of Electronic Transactions, Rising Revenue Losses Due to Frauds and Increase in the Frequency and Sophistication of Cyber Frauds and Attacks.

Globally, a noticeable market trend is evident Increasing Use of Big Data Analytics and Artificial Intelligence in Fraud Detection . Major Players, such as IBM (United States), FICO (United States), Oracle (United States), SAS Institute (United States), BAE Systems (United Kingdom), DXC Technology (United States), SAP (Germany), ACI Worldwide (United States), Fiserv (United States) and ThreatMetrix (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.

In August 2018, Fiserv added 2 new solutions to its FDP portfolio: step-up authentication and identity verification to minimize fraudulent activities in call centers.

Regulatory Insights:
California Consumer Privacy Act (CCPA) is passing a law for protection of data in United States which will be effective by January, 2020. It is expected to be country’s highest commendable security and privacy law.

Market Drivers
  • Increasing Use of Electronic Transactions
  • Rising Revenue Losses Due to Frauds
  • Increase in the Frequency and Sophistication of Cyber Frauds and Attacks

Market Trend
  • Increasing Use of Big Data Analytics and Artificial Intelligence in Fraud Detection
  • Introduction of Hybrid Analytical Techniques

Restraints
  • Lack of Skilled Security Professionals to Deal With Fraudulent Activities
  • Dearth of Integration Capabilities in Developing Economies

Opportunities
Several Government Initiatives in the Use of Digital Technologies and Digital Banking for Payments
Challenges
Increasing Difficulty in Detecting Fraudulent Activities at an Early Stage and High Cost Associated With Deploying Fraud Analytics Software

AdvanceMarketAnalytics follow 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 showcase the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyse the products and services offered by multiple players competing to increase their market share and presence.

Customization of the Report:
AMA Research & Media features not only specific market forecasts, but also include significant value-added commentary on:
Market Trends
Technological Trends and Innovations
Regulatory Trends & Policies
Market Maturity Indicators
Market Share Movements
Growth Drivers and Constraints
New Entrants into the Market & Entry/Exit Barriers
Consumer Demographics
Supporting Company Financial and Cash Flow Planning
Open Up New Markets
To Seize Powerful Market Opportunities
Key Decision in Planning and to Further Expand Market Share
Identify Key Business Segments, Market Proposition & Gap Analysis
Report Objectives / Segmentation Covered
By Type
  • Predictive Analytics Software
  • Customer Analytics Software
  • Social Media Analytics Software
  • Big Data Analytics Software
  • Behavioral Analytics Software
By Application
  • Telecommunication
  • Government/Public sector
  • Healthcare
  • Real Estate
  • Energy and Power
  • Manufacturing
  • Others
By Organization Size
  • SMEs Enterprises
  • Large Enterprises

By Deployment Type
  • Cloud
  • On-premises

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. Increasing Use of Electronic Transactions
      • 3.2.2. Rising Revenue Losses Due to Frauds
      • 3.2.3. Increase in the Frequency and Sophistication of Cyber Frauds and Attacks
    • 3.3. Market Challenges
      • 3.3.1. Increasing Difficulty in Detecting Fraudulent Activities at an Early Stage
      • 3.3.2. High Cost Associated With Deploying Fraud Analytics Software
    • 3.4. Market Trends
      • 3.4.1. Increasing Use of Big Data Analytics and Artificial Intelligence in Fraud Detection
      • 3.4.2. Introduction of Hybrid Analytical Techniques
  • 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 Analytics Software, by Type, Application, Organization Size, Deployment Type and Region (value and price ) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global Fraud Analytics Software (Value)
      • 5.2.1. Global Fraud Analytics Software by: Type (Value)
        • 5.2.1.1. Predictive Analytics Software
        • 5.2.1.2. Customer Analytics Software
        • 5.2.1.3. Social Media Analytics Software
        • 5.2.1.4. Big Data Analytics Software
        • 5.2.1.5. Behavioral Analytics Software
      • 5.2.2. Global Fraud Analytics Software by: Application (Value)
        • 5.2.2.1. Telecommunication
        • 5.2.2.2. Government/Public sector
        • 5.2.2.3. Healthcare
        • 5.2.2.4. Real Estate
        • 5.2.2.5. Energy and Power
        • 5.2.2.6. Manufacturing
        • 5.2.2.7. Others
      • 5.2.3. Global Fraud Analytics Software by: Organization Size (Value)
        • 5.2.3.1. SMEs Enterprises
        • 5.2.3.2. Large Enterprises
      • 5.2.4. Global Fraud Analytics Software by: Deployment Type (Value)
        • 5.2.4.1. Cloud
        • 5.2.4.2. On-premises
      • 5.2.5. Global Fraud Analytics Software 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
    • 5.3. Global Fraud Analytics Software (Price)
      • 5.3.1. Global Fraud Analytics Software by: Type (Price)
  • 6. Fraud Analytics Software: 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 (2019)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. IBM (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. FICO (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. Oracle (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. SAS Institute (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 (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. DXC Technology (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. SAP (Germany)
        • 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. ACI Worldwide (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. Fiserv (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. ThreatMetrix (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 Analytics Software Sale, by Type, Application, Organization Size, Deployment Type and Region (value and price ) (2020-2025)
    • 7.1. Introduction
    • 7.2. Global Fraud Analytics Software (Value)
      • 7.2.1. Global Fraud Analytics Software by: Type (Value)
        • 7.2.1.1. Predictive Analytics Software
        • 7.2.1.2. Customer Analytics Software
        • 7.2.1.3. Social Media Analytics Software
        • 7.2.1.4. Big Data Analytics Software
        • 7.2.1.5. Behavioral Analytics Software
      • 7.2.2. Global Fraud Analytics Software by: Application (Value)
        • 7.2.2.1. Telecommunication
        • 7.2.2.2. Government/Public sector
        • 7.2.2.3. Healthcare
        • 7.2.2.4. Real Estate
        • 7.2.2.5. Energy and Power
        • 7.2.2.6. Manufacturing
        • 7.2.2.7. Others
      • 7.2.3. Global Fraud Analytics Software by: Organization Size (Value)
        • 7.2.3.1. SMEs Enterprises
        • 7.2.3.2. Large Enterprises
      • 7.2.4. Global Fraud Analytics Software by: Deployment Type (Value)
        • 7.2.4.1. Cloud
        • 7.2.4.2. On-premises
      • 7.2.5. Global Fraud Analytics Software 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
    • 7.3. Global Fraud Analytics Software (Price)
      • 7.3.1. Global Fraud Analytics Software 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 Analytics Software: by Type(USD Million)
  • Table 2. Fraud Analytics Software Predictive Analytics Software , by Region USD Million (2014-2019)
  • Table 3. Fraud Analytics Software Customer Analytics Software , by Region USD Million (2014-2019)
  • Table 4. Fraud Analytics Software Social Media Analytics Software , by Region USD Million (2014-2019)
  • Table 5. Fraud Analytics Software Big Data Analytics Software , by Region USD Million (2014-2019)
  • Table 6. Fraud Analytics Software Behavioral Analytics Software , by Region USD Million (2014-2019)
  • Table 7. Fraud Analytics Software: by Application(USD Million)
  • Table 8. Fraud Analytics Software Telecommunication , by Region USD Million (2014-2019)
  • Table 9. Fraud Analytics Software Government/Public sector , by Region USD Million (2014-2019)
  • Table 10. Fraud Analytics Software Healthcare , by Region USD Million (2014-2019)
  • Table 11. Fraud Analytics Software Real Estate , by Region USD Million (2014-2019)
  • Table 12. Fraud Analytics Software Energy and Power , by Region USD Million (2014-2019)
  • Table 13. Fraud Analytics Software Manufacturing , by Region USD Million (2014-2019)
  • Table 14. Fraud Analytics Software Others , by Region USD Million (2014-2019)
  • Table 15. Fraud Analytics Software: by Organization Size(USD Million)
  • Table 16. Fraud Analytics Software SMEs Enterprises , by Region USD Million (2014-2019)
  • Table 17. Fraud Analytics Software Large Enterprises , by Region USD Million (2014-2019)
  • Table 18. Fraud Analytics Software: by Deployment Type(USD Million)
  • Table 19. Fraud Analytics Software Cloud , by Region USD Million (2014-2019)
  • Table 20. Fraud Analytics Software On-premises , by Region USD Million (2014-2019)
  • Table 21. South America Fraud Analytics Software, by Country USD Million (2014-2019)
  • Table 22. South America Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 23. South America Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 24. South America Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 25. South America Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 26. Brazil Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 27. Brazil Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 28. Brazil Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 29. Brazil Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 30. Argentina Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 31. Argentina Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 32. Argentina Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 33. Argentina Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 34. Rest of South America Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 35. Rest of South America Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 36. Rest of South America Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 37. Rest of South America Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 38. Asia Pacific Fraud Analytics Software, by Country USD Million (2014-2019)
  • Table 39. Asia Pacific Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 40. Asia Pacific Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 41. Asia Pacific Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 42. Asia Pacific Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 43. China Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 44. China Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 45. China Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 46. China Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 47. Japan Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 48. Japan Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 49. Japan Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 50. Japan Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 51. India Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 52. India Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 53. India Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 54. India Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 55. South Korea Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 56. South Korea Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 57. South Korea Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 58. South Korea Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 59. Taiwan Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 60. Taiwan Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 61. Taiwan Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 62. Taiwan Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 63. Australia Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 64. Australia Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 65. Australia Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 66. Australia Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 67. Rest of Asia-Pacific Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 68. Rest of Asia-Pacific Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 69. Rest of Asia-Pacific Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 70. Rest of Asia-Pacific Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 71. Europe Fraud Analytics Software, by Country USD Million (2014-2019)
  • Table 72. Europe Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 73. Europe Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 74. Europe Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 75. Europe Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 76. Germany Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 77. Germany Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 78. Germany Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 79. Germany Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 80. France Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 81. France Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 82. France Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 83. France Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 84. Italy Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 85. Italy Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 86. Italy Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 87. Italy Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 88. United Kingdom Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 89. United Kingdom Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 90. United Kingdom Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 91. United Kingdom Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 92. Netherlands Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 93. Netherlands Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 94. Netherlands Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 95. Netherlands Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 96. Rest of Europe Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 97. Rest of Europe Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 98. Rest of Europe Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 99. Rest of Europe Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 100. MEA Fraud Analytics Software, by Country USD Million (2014-2019)
  • Table 101. MEA Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 102. MEA Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 103. MEA Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 104. MEA Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 105. Middle East Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 106. Middle East Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 107. Middle East Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 108. Middle East Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 109. Africa Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 110. Africa Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 111. Africa Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 112. Africa Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 113. North America Fraud Analytics Software, by Country USD Million (2014-2019)
  • Table 114. North America Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 115. North America Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 116. North America Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 117. North America Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 118. United States Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 119. United States Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 120. United States Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 121. United States Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 122. Canada Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 123. Canada Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 124. Canada Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 125. Canada Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 126. Mexico Fraud Analytics Software, by Type USD Million (2014-2019)
  • Table 127. Mexico Fraud Analytics Software, by Application USD Million (2014-2019)
  • Table 128. Mexico Fraud Analytics Software, by Organization Size USD Million (2014-2019)
  • Table 129. Mexico Fraud Analytics Software, by Deployment Type USD Million (2014-2019)
  • Table 130. Fraud Analytics Software: by Type(USD/Units)
  • 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. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Company Basic Information, Sales Area and Its Competitors
  • Table 141. Fraud Analytics Software: by Type(USD Million)
  • Table 142. Fraud Analytics Software Predictive Analytics Software , by Region USD Million (2020-2025)
  • Table 143. Fraud Analytics Software Customer Analytics Software , by Region USD Million (2020-2025)
  • Table 144. Fraud Analytics Software Social Media Analytics Software , by Region USD Million (2020-2025)
  • Table 145. Fraud Analytics Software Big Data Analytics Software , by Region USD Million (2020-2025)
  • Table 146. Fraud Analytics Software Behavioral Analytics Software , by Region USD Million (2020-2025)
  • Table 147. Fraud Analytics Software: by Application(USD Million)
  • Table 148. Fraud Analytics Software Telecommunication , by Region USD Million (2020-2025)
  • Table 149. Fraud Analytics Software Government/Public sector , by Region USD Million (2020-2025)
  • Table 150. Fraud Analytics Software Healthcare , by Region USD Million (2020-2025)
  • Table 151. Fraud Analytics Software Real Estate , by Region USD Million (2020-2025)
  • Table 152. Fraud Analytics Software Energy and Power , by Region USD Million (2020-2025)
  • Table 153. Fraud Analytics Software Manufacturing , by Region USD Million (2020-2025)
  • Table 154. Fraud Analytics Software Others , by Region USD Million (2020-2025)
  • Table 155. Fraud Analytics Software: by Organization Size(USD Million)
  • Table 156. Fraud Analytics Software SMEs Enterprises , by Region USD Million (2020-2025)
  • Table 157. Fraud Analytics Software Large Enterprises , by Region USD Million (2020-2025)
  • Table 158. Fraud Analytics Software: by Deployment Type(USD Million)
  • Table 159. Fraud Analytics Software Cloud , by Region USD Million (2020-2025)
  • Table 160. Fraud Analytics Software On-premises , by Region USD Million (2020-2025)
  • Table 161. South America Fraud Analytics Software, by Country USD Million (2020-2025)
  • Table 162. South America Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 163. South America Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 164. South America Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 165. South America Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 166. Brazil Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 167. Brazil Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 168. Brazil Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 169. Brazil Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 170. Argentina Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 171. Argentina Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 172. Argentina Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 173. Argentina Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 174. Rest of South America Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 175. Rest of South America Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 176. Rest of South America Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 177. Rest of South America Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 178. Asia Pacific Fraud Analytics Software, by Country USD Million (2020-2025)
  • Table 179. Asia Pacific Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 180. Asia Pacific Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 181. Asia Pacific Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 182. Asia Pacific Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 183. China Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 184. China Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 185. China Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 186. China Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 187. Japan Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 188. Japan Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 189. Japan Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 190. Japan Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 191. India Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 192. India Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 193. India Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 194. India Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 195. South Korea Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 196. South Korea Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 197. South Korea Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 198. South Korea Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 199. Taiwan Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 200. Taiwan Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 201. Taiwan Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 202. Taiwan Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 203. Australia Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 204. Australia Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 205. Australia Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 206. Australia Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 207. Rest of Asia-Pacific Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 208. Rest of Asia-Pacific Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 209. Rest of Asia-Pacific Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 210. Rest of Asia-Pacific Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 211. Europe Fraud Analytics Software, by Country USD Million (2020-2025)
  • Table 212. Europe Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 213. Europe Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 214. Europe Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 215. Europe Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 216. Germany Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 217. Germany Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 218. Germany Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 219. Germany Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 220. France Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 221. France Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 222. France Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 223. France Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 224. Italy Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 225. Italy Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 226. Italy Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 227. Italy Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 228. United Kingdom Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 229. United Kingdom Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 230. United Kingdom Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 231. United Kingdom Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 232. Netherlands Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 233. Netherlands Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 234. Netherlands Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 235. Netherlands Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 236. Rest of Europe Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 237. Rest of Europe Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 238. Rest of Europe Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 239. Rest of Europe Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 240. MEA Fraud Analytics Software, by Country USD Million (2020-2025)
  • Table 241. MEA Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 242. MEA Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 243. MEA Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 244. MEA Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 245. Middle East Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 246. Middle East Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 247. Middle East Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 248. Middle East Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 249. Africa Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 250. Africa Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 251. Africa Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 252. Africa Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 253. North America Fraud Analytics Software, by Country USD Million (2020-2025)
  • Table 254. North America Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 255. North America Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 256. North America Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 257. North America Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 258. United States Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 259. United States Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 260. United States Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 261. United States Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 262. Canada Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 263. Canada Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 264. Canada Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 265. Canada Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 266. Mexico Fraud Analytics Software, by Type USD Million (2020-2025)
  • Table 267. Mexico Fraud Analytics Software, by Application USD Million (2020-2025)
  • Table 268. Mexico Fraud Analytics Software, by Organization Size USD Million (2020-2025)
  • Table 269. Mexico Fraud Analytics Software, by Deployment Type USD Million (2020-2025)
  • Table 270. Fraud Analytics Software: by Type(USD/Units)
  • Table 271. Research Programs/Design for This Report
  • Table 272. Key Data Information from Secondary Sources
  • Table 273. 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 Analytics Software: by Type USD Million (2014-2019)
  • Figure 5. Global Fraud Analytics Software: by Application USD Million (2014-2019)
  • Figure 6. Global Fraud Analytics Software: by Organization Size USD Million (2014-2019)
  • Figure 7. Global Fraud Analytics Software: by Deployment Type USD Million (2014-2019)
  • Figure 8. South America Fraud Analytics Software Share (%), by Country
  • Figure 9. Asia Pacific Fraud Analytics Software Share (%), by Country
  • Figure 10. Europe Fraud Analytics Software Share (%), by Country
  • Figure 11. MEA Fraud Analytics Software Share (%), by Country
  • Figure 12. North America Fraud Analytics Software Share (%), by Country
  • Figure 13. Global Fraud Analytics Software: by Type USD/Units (2014-2019)
  • Figure 14. Global Fraud Analytics Software share by Players 2019 (%)
  • Figure 15. Global Fraud Analytics Software share by Players (Top 3) 2019(%)
  • Figure 16. Global Fraud Analytics Software share by Players (Top 5) 2019(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 19. IBM (United States) Revenue: by Geography 2019
  • Figure 20. FICO (United States) Revenue, Net Income and Gross profit
  • Figure 21. FICO (United States) Revenue: by Geography 2019
  • Figure 22. Oracle (United States) Revenue, Net Income and Gross profit
  • Figure 23. Oracle (United States) Revenue: by Geography 2019
  • Figure 24. SAS Institute (United States) Revenue, Net Income and Gross profit
  • Figure 25. SAS Institute (United States) Revenue: by Geography 2019
  • Figure 26. BAE Systems (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 27. BAE Systems (United Kingdom) Revenue: by Geography 2019
  • Figure 28. DXC Technology (United States) Revenue, Net Income and Gross profit
  • Figure 29. DXC Technology (United States) Revenue: by Geography 2019
  • Figure 30. SAP (Germany) Revenue, Net Income and Gross profit
  • Figure 31. SAP (Germany) Revenue: by Geography 2019
  • Figure 32. ACI Worldwide (United States) Revenue, Net Income and Gross profit
  • Figure 33. ACI Worldwide (United States) Revenue: by Geography 2019
  • Figure 34. Fiserv (United States) Revenue, Net Income and Gross profit
  • Figure 35. Fiserv (United States) Revenue: by Geography 2019
  • Figure 36. ThreatMetrix (United States) Revenue, Net Income and Gross profit
  • Figure 37. ThreatMetrix (United States) Revenue: by Geography 2019
  • Figure 38. Global Fraud Analytics Software: by Type USD Million (2020-2025)
  • Figure 39. Global Fraud Analytics Software: by Application USD Million (2020-2025)
  • Figure 40. Global Fraud Analytics Software: by Organization Size USD Million (2020-2025)
  • Figure 41. Global Fraud Analytics Software: by Deployment Type USD Million (2020-2025)
  • Figure 42. South America Fraud Analytics Software Share (%), by Country
  • Figure 43. Asia Pacific Fraud Analytics Software Share (%), by Country
  • Figure 44. Europe Fraud Analytics Software Share (%), by Country
  • Figure 45. MEA Fraud Analytics Software Share (%), by Country
  • Figure 46. North America Fraud Analytics Software Share (%), by Country
  • Figure 47. Global Fraud Analytics Software: by Type USD/Units (2020-2025)
Some of the key companies/manufacturers profiled in the report
  • IBM (United States)
  • FICO (United States)
  • Oracle (United States)
  • SAS Institute (United States)
  • BAE Systems (United Kingdom)
  • DXC Technology (United States)
  • SAP (Germany)
  • ACI Worldwide (United States)
  • Fiserv (United States)
  • ThreatMetrix (United States)
Additional players considered in the study are as follows:
NICE Systems (Israel) , Experian (United States) , LexisNexis Risk solutions (United States) , iovation Inc (United States) , Friss (Netherlands) , First Data (United States) , Guardian Analytics (United States) , Software AG (Germany)
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