Global Anti-fraud Solutions Market

Anti-fraud Solutions Comprehensive Study by Type (Sensationalists, One Trick Ponies, Commitment-Phobes, Specialists), Application (SME, Large Enterprises), Types of Fraud (Banking Fraud, Insurance Fraud, Government Fraud, Healthcare Fraud), End User (Banks, Health care, Insurance, Government, Retail establishments, Other) Players and Region - Global Market Outlook to 2027

Anti-fraud Solutions Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Global Anti-fraud Solutions Market Overview:
Fraud can occur in a variety of contexts and settings. Fraud can be committed in a variety of industries, including banking, insurance, government, and healthcare. Fraud detection is a set of activities carried out to prevent money or property from being obtained through deception. Fraud detection software is used in many industries, including banking and insurance. Banking fraud includes forging checks and using stolen credit cards. Exaggerating losses or causing harm solely for the purpose of receiving a payout are examples of other types of fraud.

AttributesDetails
Study Period2017-2027
Base Year2021
Forecast Period2022-2027
Historical Period2017-2021
UnitValue (USD Million)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


Influencing Trend:
Increase In Use Of AI And ML In Banking Sector To Boost Anti-Fraud Solution

Market Growth Drivers:
Rising Revenue Losses Due to Frauds, Increase in the Frequency and Sophistication of Cyber Frauds and Attacks and Growing Use of Electronic Transactions

Challenges:
High Complexity Associated with Anti-fraud Solutions and Intense Competition Among Players

Restraints:
Unavailability of Skilled Security Professionals to Deal with Fraudulent Activities and Lack of Integration Capabilities

Opportunities:
Rise in the Use of Digital Technologies and Digital Banking for Payments

Competitive Landscape:
The market for Anti-fraud Solutions is highly competitive with several global as well as local players in the market. The global players are trying various strategies such as product innovation and using various marketing strategies to gain a higher market share
Some of the key players profiled in the report are IBM (United States), Capgemini (France), BAE Systems Inc. (United Kingdom), Fiserv Inc. (United Kingdom), ASEE (Poland), PayU (Netherland), SEON Technologies (Hungary), DataWalk (United States), SQN Banking Systems (United States) and FraudScore (Cyprus). Analyst at AMA Research see United States Players to retain maximum share of Global Anti-fraud Solutions market by 2027. Considering Market by Types of Fraud, the sub-segment i.e. Banking Fraud will boost the Anti-fraud Solutions market. Considering Market by End User, the sub-segment i.e. Banks will boost the Anti-fraud Solutions market.

What Can be Explored with the Anti-fraud Solutions Market Study
 Gain Market Understanding
 Identify Growth Opportunities
 Analyze and Measure the Global Anti-fraud Solutions Market by Identifying Investment across various Industry Verticals
 Understand the Trends that will drive Future Changes in Anti-fraud Solutions
 Understand the Competitive Scenario
- Track Right Markets
- Identify the Right Verticals

Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Anti-fraud Solutions market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Anti-fraud Solutions market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes New Entrants and Investors, Venture Capitalists, Government Bodies, Corporate Entities, Government and Private Research Organizations and Others.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.

Report Objectives / Segmentation Covered

By Type
  • Sensationalists
  • One Trick Ponies
  • Commitment-Phobes
  • Specialists
By Application
  • SME
  • Large Enterprises
By Types of Fraud
  • Banking Fraud
  • Insurance Fraud
  • Government Fraud
  • Healthcare Fraud

By End User
  • Banks
  • Health care
  • Insurance
  • Government
  • Retail establishments
  • Other

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. Rising Revenue Losses Due to Frauds
      • 3.2.2. Increase in the Frequency and Sophistication of Cyber Frauds and Attacks
      • 3.2.3. Growing Use of Electronic Transactions
    • 3.3. Market Challenges
      • 3.3.1. High Complexity Associated with Anti-fraud Solutions
      • 3.3.2. Intense Competition Among Players
    • 3.4. Market Trends
      • 3.4.1. Increase In Use Of AI And ML In Banking Sector To Boost Anti-Fraud Solution
  • 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 Anti-fraud Solutions, by Type, Application, Types of Fraud, End User and Region (value and price ) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global Anti-fraud Solutions (Value)
      • 5.2.1. Global Anti-fraud Solutions by: Type (Value)
        • 5.2.1.1. Sensationalists
        • 5.2.1.2. One Trick Ponies
        • 5.2.1.3. Commitment-Phobes
        • 5.2.1.4. Specialists
      • 5.2.2. Global Anti-fraud Solutions by: Application (Value)
        • 5.2.2.1. SME
        • 5.2.2.2. Large Enterprises
      • 5.2.3. Global Anti-fraud Solutions by: Types of Fraud (Value)
        • 5.2.3.1. Banking Fraud
        • 5.2.3.2. Insurance Fraud
        • 5.2.3.3. Government Fraud
        • 5.2.3.4. Healthcare Fraud
      • 5.2.4. Global Anti-fraud Solutions by: End User (Value)
        • 5.2.4.1. Banks
        • 5.2.4.2. Health care
        • 5.2.4.3. Insurance
        • 5.2.4.4. Government
        • 5.2.4.5. Retail establishments
        • 5.2.4.6. Other
      • 5.2.5. Global Anti-fraud Solutions 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 Anti-fraud Solutions (Price)
      • 5.3.1. Global Anti-fraud Solutions by: Type (Price)
  • 6. Anti-fraud Solutions: 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. 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. Capgemini (France)
        • 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. BAE Systems Inc. (United Kingdom)
        • 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. Fiserv Inc. (United Kingdom)
        • 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. ASEE (Poland)
        • 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. PayU (Netherland)
        • 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. SEON Technologies (Hungary)
        • 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. DataWalk (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. SQN Banking Systems (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. FraudScore (Cyprus)
        • 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 Anti-fraud Solutions Sale, by Type, Application, Types of Fraud, End User and Region (value and price ) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global Anti-fraud Solutions (Value)
      • 7.2.1. Global Anti-fraud Solutions by: Type (Value)
        • 7.2.1.1. Sensationalists
        • 7.2.1.2. One Trick Ponies
        • 7.2.1.3. Commitment-Phobes
        • 7.2.1.4. Specialists
      • 7.2.2. Global Anti-fraud Solutions by: Application (Value)
        • 7.2.2.1. SME
        • 7.2.2.2. Large Enterprises
      • 7.2.3. Global Anti-fraud Solutions by: Types of Fraud (Value)
        • 7.2.3.1. Banking Fraud
        • 7.2.3.2. Insurance Fraud
        • 7.2.3.3. Government Fraud
        • 7.2.3.4. Healthcare Fraud
      • 7.2.4. Global Anti-fraud Solutions by: End User (Value)
        • 7.2.4.1. Banks
        • 7.2.4.2. Health care
        • 7.2.4.3. Insurance
        • 7.2.4.4. Government
        • 7.2.4.5. Retail establishments
        • 7.2.4.6. Other
      • 7.2.5. Global Anti-fraud Solutions 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 Anti-fraud Solutions (Price)
      • 7.3.1. Global Anti-fraud Solutions 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. Anti-fraud Solutions: by Type(USD Million)
  • Table 2. Anti-fraud Solutions Sensationalists , by Region USD Million (2016-2021)
  • Table 3. Anti-fraud Solutions One Trick Ponies , by Region USD Million (2016-2021)
  • Table 4. Anti-fraud Solutions Commitment-Phobes , by Region USD Million (2016-2021)
  • Table 5. Anti-fraud Solutions Specialists , by Region USD Million (2016-2021)
  • Table 6. Anti-fraud Solutions: by Application(USD Million)
  • Table 7. Anti-fraud Solutions SME , by Region USD Million (2016-2021)
  • Table 8. Anti-fraud Solutions Large Enterprises , by Region USD Million (2016-2021)
  • Table 9. Anti-fraud Solutions: by Types of Fraud(USD Million)
  • Table 10. Anti-fraud Solutions Banking Fraud , by Region USD Million (2016-2021)
  • Table 11. Anti-fraud Solutions Insurance Fraud , by Region USD Million (2016-2021)
  • Table 12. Anti-fraud Solutions Government Fraud , by Region USD Million (2016-2021)
  • Table 13. Anti-fraud Solutions Healthcare Fraud , by Region USD Million (2016-2021)
  • Table 14. Anti-fraud Solutions: by End User(USD Million)
  • Table 15. Anti-fraud Solutions Banks , by Region USD Million (2016-2021)
  • Table 16. Anti-fraud Solutions Health care , by Region USD Million (2016-2021)
  • Table 17. Anti-fraud Solutions Insurance , by Region USD Million (2016-2021)
  • Table 18. Anti-fraud Solutions Government , by Region USD Million (2016-2021)
  • Table 19. Anti-fraud Solutions Retail establishments , by Region USD Million (2016-2021)
  • Table 20. Anti-fraud Solutions Other , by Region USD Million (2016-2021)
  • Table 21. South America Anti-fraud Solutions, by Country USD Million (2016-2021)
  • Table 22. South America Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 23. South America Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 24. South America Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 25. South America Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 26. Brazil Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 27. Brazil Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 28. Brazil Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 29. Brazil Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 30. Argentina Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 31. Argentina Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 32. Argentina Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 33. Argentina Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 34. Rest of South America Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 35. Rest of South America Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 36. Rest of South America Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 37. Rest of South America Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 38. Asia Pacific Anti-fraud Solutions, by Country USD Million (2016-2021)
  • Table 39. Asia Pacific Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 40. Asia Pacific Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 41. Asia Pacific Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 42. Asia Pacific Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 43. China Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 44. China Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 45. China Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 46. China Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 47. Japan Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 48. Japan Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 49. Japan Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 50. Japan Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 51. India Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 52. India Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 53. India Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 54. India Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 55. South Korea Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 56. South Korea Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 57. South Korea Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 58. South Korea Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 59. Taiwan Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 60. Taiwan Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 61. Taiwan Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 62. Taiwan Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 63. Australia Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 64. Australia Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 65. Australia Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 66. Australia Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 67. Rest of Asia-Pacific Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 68. Rest of Asia-Pacific Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 69. Rest of Asia-Pacific Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 70. Rest of Asia-Pacific Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 71. Europe Anti-fraud Solutions, by Country USD Million (2016-2021)
  • Table 72. Europe Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 73. Europe Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 74. Europe Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 75. Europe Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 76. Germany Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 77. Germany Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 78. Germany Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 79. Germany Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 80. France Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 81. France Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 82. France Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 83. France Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 84. Italy Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 85. Italy Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 86. Italy Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 87. Italy Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 88. United Kingdom Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 89. United Kingdom Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 90. United Kingdom Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 91. United Kingdom Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 92. Netherlands Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 93. Netherlands Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 94. Netherlands Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 95. Netherlands Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 96. Rest of Europe Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 97. Rest of Europe Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 98. Rest of Europe Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 99. Rest of Europe Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 100. MEA Anti-fraud Solutions, by Country USD Million (2016-2021)
  • Table 101. MEA Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 102. MEA Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 103. MEA Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 104. MEA Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 105. Middle East Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 106. Middle East Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 107. Middle East Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 108. Middle East Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 109. Africa Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 110. Africa Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 111. Africa Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 112. Africa Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 113. North America Anti-fraud Solutions, by Country USD Million (2016-2021)
  • Table 114. North America Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 115. North America Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 116. North America Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 117. North America Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 118. United States Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 119. United States Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 120. United States Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 121. United States Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 122. Canada Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 123. Canada Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 124. Canada Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 125. Canada Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 126. Mexico Anti-fraud Solutions, by Type USD Million (2016-2021)
  • Table 127. Mexico Anti-fraud Solutions, by Application USD Million (2016-2021)
  • Table 128. Mexico Anti-fraud Solutions, by Types of Fraud USD Million (2016-2021)
  • Table 129. Mexico Anti-fraud Solutions, by End User USD Million (2016-2021)
  • Table 130. Anti-fraud Solutions: 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. Anti-fraud Solutions: by Type(USD Million)
  • Table 142. Anti-fraud Solutions Sensationalists , by Region USD Million (2022-2027)
  • Table 143. Anti-fraud Solutions One Trick Ponies , by Region USD Million (2022-2027)
  • Table 144. Anti-fraud Solutions Commitment-Phobes , by Region USD Million (2022-2027)
  • Table 145. Anti-fraud Solutions Specialists , by Region USD Million (2022-2027)
  • Table 146. Anti-fraud Solutions: by Application(USD Million)
  • Table 147. Anti-fraud Solutions SME , by Region USD Million (2022-2027)
  • Table 148. Anti-fraud Solutions Large Enterprises , by Region USD Million (2022-2027)
  • Table 149. Anti-fraud Solutions: by Types of Fraud(USD Million)
  • Table 150. Anti-fraud Solutions Banking Fraud , by Region USD Million (2022-2027)
  • Table 151. Anti-fraud Solutions Insurance Fraud , by Region USD Million (2022-2027)
  • Table 152. Anti-fraud Solutions Government Fraud , by Region USD Million (2022-2027)
  • Table 153. Anti-fraud Solutions Healthcare Fraud , by Region USD Million (2022-2027)
  • Table 154. Anti-fraud Solutions: by End User(USD Million)
  • Table 155. Anti-fraud Solutions Banks , by Region USD Million (2022-2027)
  • Table 156. Anti-fraud Solutions Health care , by Region USD Million (2022-2027)
  • Table 157. Anti-fraud Solutions Insurance , by Region USD Million (2022-2027)
  • Table 158. Anti-fraud Solutions Government , by Region USD Million (2022-2027)
  • Table 159. Anti-fraud Solutions Retail establishments , by Region USD Million (2022-2027)
  • Table 160. Anti-fraud Solutions Other , by Region USD Million (2022-2027)
  • Table 161. South America Anti-fraud Solutions, by Country USD Million (2022-2027)
  • Table 162. South America Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 163. South America Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 164. South America Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 165. South America Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 166. Brazil Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 167. Brazil Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 168. Brazil Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 169. Brazil Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 170. Argentina Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 171. Argentina Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 172. Argentina Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 173. Argentina Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 174. Rest of South America Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 175. Rest of South America Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 176. Rest of South America Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 177. Rest of South America Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 178. Asia Pacific Anti-fraud Solutions, by Country USD Million (2022-2027)
  • Table 179. Asia Pacific Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 180. Asia Pacific Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 181. Asia Pacific Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 182. Asia Pacific Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 183. China Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 184. China Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 185. China Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 186. China Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 187. Japan Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 188. Japan Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 189. Japan Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 190. Japan Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 191. India Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 192. India Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 193. India Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 194. India Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 195. South Korea Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 196. South Korea Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 197. South Korea Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 198. South Korea Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 199. Taiwan Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 200. Taiwan Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 201. Taiwan Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 202. Taiwan Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 203. Australia Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 204. Australia Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 205. Australia Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 206. Australia Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 207. Rest of Asia-Pacific Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 208. Rest of Asia-Pacific Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 209. Rest of Asia-Pacific Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 210. Rest of Asia-Pacific Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 211. Europe Anti-fraud Solutions, by Country USD Million (2022-2027)
  • Table 212. Europe Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 213. Europe Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 214. Europe Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 215. Europe Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 216. Germany Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 217. Germany Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 218. Germany Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 219. Germany Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 220. France Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 221. France Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 222. France Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 223. France Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 224. Italy Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 225. Italy Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 226. Italy Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 227. Italy Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 228. United Kingdom Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 229. United Kingdom Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 230. United Kingdom Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 231. United Kingdom Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 232. Netherlands Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 233. Netherlands Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 234. Netherlands Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 235. Netherlands Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 236. Rest of Europe Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 237. Rest of Europe Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 238. Rest of Europe Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 239. Rest of Europe Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 240. MEA Anti-fraud Solutions, by Country USD Million (2022-2027)
  • Table 241. MEA Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 242. MEA Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 243. MEA Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 244. MEA Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 245. Middle East Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 246. Middle East Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 247. Middle East Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 248. Middle East Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 249. Africa Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 250. Africa Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 251. Africa Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 252. Africa Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 253. North America Anti-fraud Solutions, by Country USD Million (2022-2027)
  • Table 254. North America Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 255. North America Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 256. North America Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 257. North America Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 258. United States Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 259. United States Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 260. United States Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 261. United States Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 262. Canada Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 263. Canada Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 264. Canada Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 265. Canada Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 266. Mexico Anti-fraud Solutions, by Type USD Million (2022-2027)
  • Table 267. Mexico Anti-fraud Solutions, by Application USD Million (2022-2027)
  • Table 268. Mexico Anti-fraud Solutions, by Types of Fraud USD Million (2022-2027)
  • Table 269. Mexico Anti-fraud Solutions, by End User USD Million (2022-2027)
  • Table 270. Anti-fraud Solutions: 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 Anti-fraud Solutions: by Type USD Million (2016-2021)
  • Figure 5. Global Anti-fraud Solutions: by Application USD Million (2016-2021)
  • Figure 6. Global Anti-fraud Solutions: by Types of Fraud USD Million (2016-2021)
  • Figure 7. Global Anti-fraud Solutions: by End User USD Million (2016-2021)
  • Figure 8. South America Anti-fraud Solutions Share (%), by Country
  • Figure 9. Asia Pacific Anti-fraud Solutions Share (%), by Country
  • Figure 10. Europe Anti-fraud Solutions Share (%), by Country
  • Figure 11. MEA Anti-fraud Solutions Share (%), by Country
  • Figure 12. North America Anti-fraud Solutions Share (%), by Country
  • Figure 13. Global Anti-fraud Solutions: by Type USD/Units (2016-2021)
  • Figure 14. Global Anti-fraud Solutions share by Players 2021 (%)
  • Figure 15. Global Anti-fraud Solutions share by Players (Top 3) 2021(%)
  • Figure 16. Global Anti-fraud Solutions share by Players (Top 5) 2021(%)
  • 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 2021
  • Figure 20. Capgemini (France) Revenue, Net Income and Gross profit
  • Figure 21. Capgemini (France) Revenue: by Geography 2021
  • Figure 22. BAE Systems Inc. (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 23. BAE Systems Inc. (United Kingdom) Revenue: by Geography 2021
  • Figure 24. Fiserv Inc. (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 25. Fiserv Inc. (United Kingdom) Revenue: by Geography 2021
  • Figure 26. ASEE (Poland) Revenue, Net Income and Gross profit
  • Figure 27. ASEE (Poland) Revenue: by Geography 2021
  • Figure 28. PayU (Netherland) Revenue, Net Income and Gross profit
  • Figure 29. PayU (Netherland) Revenue: by Geography 2021
  • Figure 30. SEON Technologies (Hungary) Revenue, Net Income and Gross profit
  • Figure 31. SEON Technologies (Hungary) Revenue: by Geography 2021
  • Figure 32. DataWalk (United States) Revenue, Net Income and Gross profit
  • Figure 33. DataWalk (United States) Revenue: by Geography 2021
  • Figure 34. SQN Banking Systems (United States) Revenue, Net Income and Gross profit
  • Figure 35. SQN Banking Systems (United States) Revenue: by Geography 2021
  • Figure 36. FraudScore (Cyprus) Revenue, Net Income and Gross profit
  • Figure 37. FraudScore (Cyprus) Revenue: by Geography 2021
  • Figure 38. Global Anti-fraud Solutions: by Type USD Million (2022-2027)
  • Figure 39. Global Anti-fraud Solutions: by Application USD Million (2022-2027)
  • Figure 40. Global Anti-fraud Solutions: by Types of Fraud USD Million (2022-2027)
  • Figure 41. Global Anti-fraud Solutions: by End User USD Million (2022-2027)
  • Figure 42. South America Anti-fraud Solutions Share (%), by Country
  • Figure 43. Asia Pacific Anti-fraud Solutions Share (%), by Country
  • Figure 44. Europe Anti-fraud Solutions Share (%), by Country
  • Figure 45. MEA Anti-fraud Solutions Share (%), by Country
  • Figure 46. North America Anti-fraud Solutions Share (%), by Country
  • Figure 47. Global Anti-fraud Solutions: by Type USD/Units (2022-2027)
List of companies from research coverage that are profiled in the study
  • IBM (United States)
  • Capgemini (France)
  • BAE Systems Inc. (United Kingdom)
  • Fiserv Inc. (United Kingdom)
  • ASEE (Poland)
  • PayU (Netherland)
  • SEON Technologies (Hungary)
  • DataWalk (United States)
  • SQN Banking Systems (United States)
  • FraudScore (Cyprus)
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Key Highlights of Report


Aug 2022 204 Pages 81 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Anti-fraud Solutions Market Quantitative research analysis
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Frequently Asked Questions (FAQ):

Top performing companies in the Global Anti-fraud Solutions market are IBM (United States), Capgemini (France), BAE Systems Inc. (United Kingdom), Fiserv Inc. (United Kingdom), ASEE (Poland), PayU (Netherland), SEON Technologies (Hungary), DataWalk (United States), SQN Banking Systems (United States) and FraudScore (Cyprus), to name a few.
"Increase In Use Of AI And ML In Banking Sector To Boost Anti-Fraud Solution" is seen as one of major influencing trends for Anti-fraud Solutions Market during projected period 2021-2027.
Sensationalists segment in Global market to hold robust market share owing to "Rising Revenue Losses Due to Frauds ".

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