Global Fraud Detection Software Market

Fraud Detection Software Comprehensive Study by Deployment Type (Cloud, On-premises), Industry Verticals (BFSI, Retail, Telecommunication, Government/Public Sector, Healthcare, Real Estate, Energy and Power, Manufacturing, Others (Travel and Transportation, Media and Entertainment, and Life Sciences)), Organization Sizes (SMEs, Large Enterprises), Solution (Fraud Analytics {Predictive Analytics, Descriptive Analytics, Social Media Analytics & Big Data Analytics}, Authentication { Single-Factor Authentication (SFA), Multi-Factor Authentication (MFA) &Risk-Based Authentication (RBA)}, Governance) Players and Region - Global Market Outlook to 2030

Fraud Detection Software Market by XX Submarkets | Forecast Years 2024-2030 | CAGR: 12.56%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Fraud Detection Software
Fraud detection software is used to identify the high risk or illegal transactions by continuously monitoring behaviors of users to figure out risk involved in fraudulent transactions. Growing digitalization has led consumers of being highly dependent on online transactions which resulted in rise in fraudulent activities. As reported by 'Global Fraud and Identity Report' in 2018, over 63% businesses have suffered some kinds of frauds which resulted in loss in revenues. Fueled by heavy investment by stakeholders and advancement in fraud detection technologies, fraud detection software is expected to see unprecedented growth during foretasted year.

AttributesDetails
Study Period2018-2030
Base Year2023
UnitValue (USD Million)
CAGR12.56%


The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies. Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global Fraud Detection Software market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

IBM (United States), FICO (United States), SAS Institute (United States), BAE Systems (United Kingdom), DXC Technology (United States), SAP (Germany), ACI Worldwide (United States), Fiserv (United States), NICE Systems (Israel), Experian (United States), LexisNexis Risk solutions (United States), iovation (United States), Dell Technologies (United States), Wirecard (Germany), Computer Services, Inc. (United States), Software AG (Germany), Easy Solutions (United States) and Distil Networks (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are Guardian Analytics (United States), Securonix (United States), MaxMind (United States), Kount (United States) and Simility (United States).

Segmentation Overview
AMA Research has segmented the market of Global Fraud Detection Software market by and Region.



On the basis of geography, the market of Fraud Detection Software has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Deployment Type, the sub-segment i.e. Cloud will boost the Fraud Detection Software market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Industry Verticals, the sub-segment i.e. BFSI will boost the Fraud Detection Software market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Organization Sizes, the sub-segment i.e. SMEs will boost the Fraud Detection Software market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Solution, the sub-segment i.e. Fraud Analytics {Predictive Analytics, Descriptive Analytics, Social Media Analytics & Big Data Analytics} will boost the Fraud Detection Software market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Growing Use of Big Data Analytics in Fraud Detection and Emergence of Hybrid Analytical Techniques

Market Growth Drivers:
Growing Cases of Fraud Activities Across Industries Resulting in Revenue Loss, Rising Electronics Transaction Across Various System and Potent Cyber-attackers Leading to Rise in Cases of Cyber Threat

Challenges:
Nipping Fraud Activities in the Bud and High Cost Involved in Implementation of Fraud Detection Software

Restraints:
Dearth of Skilled Professional to Counter Fraud Activities and Complexity Involved in Integration of Various Systems

Opportunities:
Rising Artificial Intelligence and Machine Learning Activities and Massive Investment in Cyber-security Fueled by Government Support

Market Leaders and their expansionary development strategies
In December 2023, Treasury Prime announced its strategic partnership with Effective, a fraud and risk management platform for financial institutions and fintech companies. This collaboration will empower companies and financial institutions within Treasury Prime's multi-bank network to leverage Effective's Transaction Monitoring solution, enabling customers to significantly reduce fraudulent transactions and enhance risk management.
In November 2023, NetGuardians has launched a new Software-as-a-Service (SaaS)-offering, delivering its AI-driven fraud prevention solutions on Google Cloud. NetGuardians’ payment fraud prevention solution will now be available as a seamless and comprehensive SaaS offering on Google Cloud.


Key Target Audience
Fraud Detection Software Providers, System Integrators, Government Agencies, Research Institutes, Market and Research Institutes, Potential Investors and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Deployment Type
  • Cloud
  • On-premises

By Industry Verticals
  • BFSI
  • Retail
  • Telecommunication
  • Government/Public Sector
  • Healthcare
  • Real Estate
  • Energy and Power
  • Manufacturing
  • Others (Travel and Transportation, Media and Entertainment, and Life Sciences)

By Organization Sizes
  • SMEs
  • Large Enterprises

By Solution
  • Fraud Analytics {Predictive Analytics, Descriptive Analytics, Social Media Analytics & Big Data Analytics}
  • Authentication { Single-Factor Authentication (SFA), Multi-Factor Authentication (MFA) &Risk-Based Authentication (RBA)}
  • Governance

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Growing Cases of Fraud Activities Across Industries Resulting in Revenue Loss
      • 3.2.2. Rising Electronics Transaction Across Various System
      • 3.2.3. Potent Cyber-attackers Leading to Rise in Cases of Cyber Threat
    • 3.3. Market Challenges
      • 3.3.1. Nipping Fraud Activities in the Bud
      • 3.3.2. High Cost Involved in Implementation of Fraud Detection Software
    • 3.4. Market Trends
      • 3.4.1. Growing Use of Big Data Analytics in Fraud Detection
      • 3.4.2. Emergence 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 Detection Software, by Deployment Type, Industry Verticals, Organization Sizes, Solution and Region (value) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global Fraud Detection Software (Value)
      • 5.2.1. Global Fraud Detection Software by: Deployment Type (Value)
        • 5.2.1.1. Cloud
        • 5.2.1.2. On-premises
      • 5.2.2. Global Fraud Detection Software by: Industry Verticals (Value)
        • 5.2.2.1. BFSI
        • 5.2.2.2. Retail
        • 5.2.2.3. Telecommunication
        • 5.2.2.4. Government/Public Sector
        • 5.2.2.5. Healthcare
        • 5.2.2.6. Real Estate
        • 5.2.2.7. Energy and Power
        • 5.2.2.8. Manufacturing
        • 5.2.2.9. Others (Travel and Transportation, Media and Entertainment, and Life Sciences)
      • 5.2.3. Global Fraud Detection Software by: Organization Sizes (Value)
        • 5.2.3.1. SMEs
        • 5.2.3.2. Large Enterprises
      • 5.2.4. Global Fraud Detection Software by: Solution (Value)
        • 5.2.4.1. Fraud Analytics {Predictive Analytics, Descriptive Analytics, Social Media Analytics & Big Data Analytics}
        • 5.2.4.2. Authentication { Single-Factor Authentication (SFA), Multi-Factor Authentication (MFA) &Risk-Based Authentication (RBA)}
        • 5.2.4.3. Governance
      • 5.2.5. Global Fraud Detection 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
  • 6. Fraud Detection 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 (2023)
    • 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. SAS Institute (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. BAE Systems (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. DXC Technology (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. SAP (Germany)
        • 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. ACI Worldwide (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Fiserv (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. NICE Systems (Israel)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Experian (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
      • 6.4.11. LexisNexis Risk solutions (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. Iovation (United States)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. Dell Technologies (United States)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
      • 6.4.14. Wirecard (Germany)
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
      • 6.4.15. Computer Services, Inc. (United States)
        • 6.4.15.1. Business Overview
        • 6.4.15.2. Products/Services Offerings
        • 6.4.15.3. Financial Analysis
        • 6.4.15.4. SWOT Analysis
      • 6.4.16. Software AG (Germany)
        • 6.4.16.1. Business Overview
        • 6.4.16.2. Products/Services Offerings
        • 6.4.16.3. Financial Analysis
        • 6.4.16.4. SWOT Analysis
      • 6.4.17. Easy Solutions (United States)
        • 6.4.17.1. Business Overview
        • 6.4.17.2. Products/Services Offerings
        • 6.4.17.3. Financial Analysis
        • 6.4.17.4. SWOT Analysis
      • 6.4.18. Distil Networks (United States)
        • 6.4.18.1. Business Overview
        • 6.4.18.2. Products/Services Offerings
        • 6.4.18.3. Financial Analysis
        • 6.4.18.4. SWOT Analysis
  • 7. Global Fraud Detection Software Sale, by Deployment Type, Industry Verticals, Organization Sizes, Solution and Region (value) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global Fraud Detection Software (Value)
      • 7.2.1. Global Fraud Detection Software by: Deployment Type (Value)
        • 7.2.1.1. Cloud
        • 7.2.1.2. On-premises
      • 7.2.2. Global Fraud Detection Software by: Industry Verticals (Value)
        • 7.2.2.1. BFSI
        • 7.2.2.2. Retail
        • 7.2.2.3. Telecommunication
        • 7.2.2.4. Government/Public Sector
        • 7.2.2.5. Healthcare
        • 7.2.2.6. Real Estate
        • 7.2.2.7. Energy and Power
        • 7.2.2.8. Manufacturing
        • 7.2.2.9. Others (Travel and Transportation, Media and Entertainment, and Life Sciences)
      • 7.2.3. Global Fraud Detection Software by: Organization Sizes (Value)
        • 7.2.3.1. SMEs
        • 7.2.3.2. Large Enterprises
      • 7.2.4. Global Fraud Detection Software by: Solution (Value)
        • 7.2.4.1. Fraud Analytics {Predictive Analytics, Descriptive Analytics, Social Media Analytics & Big Data Analytics}
        • 7.2.4.2. Authentication { Single-Factor Authentication (SFA), Multi-Factor Authentication (MFA) &Risk-Based Authentication (RBA)}
        • 7.2.4.3. Governance
      • 7.2.5. Global Fraud Detection 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
  • 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 Software: by Deployment Type(USD Million)
  • Table 2. Fraud Detection Software Cloud , by Region USD Million (2018-2023)
  • Table 3. Fraud Detection Software On-premises , by Region USD Million (2018-2023)
  • Table 4. Fraud Detection Software: by Industry Verticals(USD Million)
  • Table 5. Fraud Detection Software BFSI , by Region USD Million (2018-2023)
  • Table 6. Fraud Detection Software Retail , by Region USD Million (2018-2023)
  • Table 7. Fraud Detection Software Telecommunication , by Region USD Million (2018-2023)
  • Table 8. Fraud Detection Software Government/Public Sector , by Region USD Million (2018-2023)
  • Table 9. Fraud Detection Software Healthcare , by Region USD Million (2018-2023)
  • Table 10. Fraud Detection Software Real Estate , by Region USD Million (2018-2023)
  • Table 11. Fraud Detection Software Energy and Power , by Region USD Million (2018-2023)
  • Table 12. Fraud Detection Software Manufacturing , by Region USD Million (2018-2023)
  • Table 13. Fraud Detection Software Others (Travel and Transportation, Media and Entertainment, and Life Sciences) , by Region USD Million (2018-2023)
  • Table 14. Fraud Detection Software: by Organization Sizes(USD Million)
  • Table 15. Fraud Detection Software SMEs , by Region USD Million (2018-2023)
  • Table 16. Fraud Detection Software Large Enterprises , by Region USD Million (2018-2023)
  • Table 17. Fraud Detection Software: by Solution(USD Million)
  • Table 18. Fraud Detection Software Fraud Analytics {Predictive Analytics, Descriptive Analytics, Social Media Analytics & Big Data Analytics} , by Region USD Million (2018-2023)
  • Table 19. Fraud Detection Software Authentication { Single-Factor Authentication (SFA), Multi-Factor Authentication (MFA) &Risk-Based Authentication (RBA)} , by Region USD Million (2018-2023)
  • Table 20. Fraud Detection Software Governance , by Region USD Million (2018-2023)
  • Table 21. South America Fraud Detection Software, by Country USD Million (2018-2023)
  • Table 22. South America Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 23. South America Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 24. South America Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 25. South America Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 26. Brazil Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 27. Brazil Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 28. Brazil Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 29. Brazil Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 30. Argentina Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 31. Argentina Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 32. Argentina Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 33. Argentina Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 34. Rest of South America Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 35. Rest of South America Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 36. Rest of South America Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 37. Rest of South America Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 38. Asia Pacific Fraud Detection Software, by Country USD Million (2018-2023)
  • Table 39. Asia Pacific Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 40. Asia Pacific Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 41. Asia Pacific Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 42. Asia Pacific Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 43. China Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 44. China Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 45. China Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 46. China Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 47. Japan Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 48. Japan Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 49. Japan Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 50. Japan Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 51. India Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 52. India Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 53. India Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 54. India Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 55. South Korea Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 56. South Korea Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 57. South Korea Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 58. South Korea Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 59. Taiwan Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 60. Taiwan Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 61. Taiwan Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 62. Taiwan Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 63. Australia Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 64. Australia Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 65. Australia Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 66. Australia Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 67. Rest of Asia-Pacific Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 68. Rest of Asia-Pacific Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 69. Rest of Asia-Pacific Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 70. Rest of Asia-Pacific Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 71. Europe Fraud Detection Software, by Country USD Million (2018-2023)
  • Table 72. Europe Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 73. Europe Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 74. Europe Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 75. Europe Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 76. Germany Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 77. Germany Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 78. Germany Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 79. Germany Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 80. France Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 81. France Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 82. France Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 83. France Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 84. Italy Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 85. Italy Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 86. Italy Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 87. Italy Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 88. United Kingdom Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 89. United Kingdom Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 90. United Kingdom Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 91. United Kingdom Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 92. Netherlands Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 93. Netherlands Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 94. Netherlands Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 95. Netherlands Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 96. Rest of Europe Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 97. Rest of Europe Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 98. Rest of Europe Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 99. Rest of Europe Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 100. MEA Fraud Detection Software, by Country USD Million (2018-2023)
  • Table 101. MEA Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 102. MEA Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 103. MEA Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 104. MEA Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 105. Middle East Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 106. Middle East Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 107. Middle East Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 108. Middle East Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 109. Africa Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 110. Africa Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 111. Africa Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 112. Africa Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 113. North America Fraud Detection Software, by Country USD Million (2018-2023)
  • Table 114. North America Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 115. North America Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 116. North America Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 117. North America Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 118. United States Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 119. United States Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 120. United States Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 121. United States Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 122. Canada Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 123. Canada Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 124. Canada Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 125. Canada Fraud Detection Software, by Solution USD Million (2018-2023)
  • Table 126. Mexico Fraud Detection Software, by Deployment Type USD Million (2018-2023)
  • Table 127. Mexico Fraud Detection Software, by Industry Verticals USD Million (2018-2023)
  • Table 128. Mexico Fraud Detection Software, by Organization Sizes USD Million (2018-2023)
  • Table 129. Mexico Fraud Detection Software, by Solution USD Million (2018-2023)
  • 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. 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. Company Basic Information, Sales Area and Its Competitors
  • Table 142. Company Basic Information, Sales Area and Its Competitors
  • Table 143. Company Basic Information, Sales Area and Its Competitors
  • Table 144. Company Basic Information, Sales Area and Its Competitors
  • Table 145. Company Basic Information, Sales Area and Its Competitors
  • Table 146. Company Basic Information, Sales Area and Its Competitors
  • Table 147. Company Basic Information, Sales Area and Its Competitors
  • Table 148. Fraud Detection Software: by Deployment Type(USD Million)
  • Table 149. Fraud Detection Software Cloud , by Region USD Million (2025-2030)
  • Table 150. Fraud Detection Software On-premises , by Region USD Million (2025-2030)
  • Table 151. Fraud Detection Software: by Industry Verticals(USD Million)
  • Table 152. Fraud Detection Software BFSI , by Region USD Million (2025-2030)
  • Table 153. Fraud Detection Software Retail , by Region USD Million (2025-2030)
  • Table 154. Fraud Detection Software Telecommunication , by Region USD Million (2025-2030)
  • Table 155. Fraud Detection Software Government/Public Sector , by Region USD Million (2025-2030)
  • Table 156. Fraud Detection Software Healthcare , by Region USD Million (2025-2030)
  • Table 157. Fraud Detection Software Real Estate , by Region USD Million (2025-2030)
  • Table 158. Fraud Detection Software Energy and Power , by Region USD Million (2025-2030)
  • Table 159. Fraud Detection Software Manufacturing , by Region USD Million (2025-2030)
  • Table 160. Fraud Detection Software Others (Travel and Transportation, Media and Entertainment, and Life Sciences) , by Region USD Million (2025-2030)
  • Table 161. Fraud Detection Software: by Organization Sizes(USD Million)
  • Table 162. Fraud Detection Software SMEs , by Region USD Million (2025-2030)
  • Table 163. Fraud Detection Software Large Enterprises , by Region USD Million (2025-2030)
  • Table 164. Fraud Detection Software: by Solution(USD Million)
  • Table 165. Fraud Detection Software Fraud Analytics {Predictive Analytics, Descriptive Analytics, Social Media Analytics & Big Data Analytics} , by Region USD Million (2025-2030)
  • Table 166. Fraud Detection Software Authentication { Single-Factor Authentication (SFA), Multi-Factor Authentication (MFA) &Risk-Based Authentication (RBA)} , by Region USD Million (2025-2030)
  • Table 167. Fraud Detection Software Governance , by Region USD Million (2025-2030)
  • Table 168. South America Fraud Detection Software, by Country USD Million (2025-2030)
  • Table 169. South America Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 170. South America Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 171. South America Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 172. South America Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 173. Brazil Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 174. Brazil Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 175. Brazil Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 176. Brazil Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 177. Argentina Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 178. Argentina Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 179. Argentina Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 180. Argentina Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 181. Rest of South America Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 182. Rest of South America Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 183. Rest of South America Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 184. Rest of South America Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 185. Asia Pacific Fraud Detection Software, by Country USD Million (2025-2030)
  • Table 186. Asia Pacific Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 187. Asia Pacific Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 188. Asia Pacific Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 189. Asia Pacific Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 190. China Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 191. China Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 192. China Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 193. China Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 194. Japan Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 195. Japan Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 196. Japan Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 197. Japan Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 198. India Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 199. India Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 200. India Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 201. India Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 202. South Korea Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 203. South Korea Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 204. South Korea Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 205. South Korea Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 206. Taiwan Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 207. Taiwan Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 208. Taiwan Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 209. Taiwan Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 210. Australia Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 211. Australia Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 212. Australia Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 213. Australia Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 214. Rest of Asia-Pacific Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 215. Rest of Asia-Pacific Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 216. Rest of Asia-Pacific Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 217. Rest of Asia-Pacific Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 218. Europe Fraud Detection Software, by Country USD Million (2025-2030)
  • Table 219. Europe Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 220. Europe Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 221. Europe Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 222. Europe Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 223. Germany Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 224. Germany Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 225. Germany Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 226. Germany Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 227. France Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 228. France Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 229. France Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 230. France Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 231. Italy Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 232. Italy Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 233. Italy Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 234. Italy Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 235. United Kingdom Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 236. United Kingdom Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 237. United Kingdom Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 238. United Kingdom Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 239. Netherlands Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 240. Netherlands Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 241. Netherlands Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 242. Netherlands Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 243. Rest of Europe Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 244. Rest of Europe Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 245. Rest of Europe Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 246. Rest of Europe Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 247. MEA Fraud Detection Software, by Country USD Million (2025-2030)
  • Table 248. MEA Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 249. MEA Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 250. MEA Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 251. MEA Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 252. Middle East Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 253. Middle East Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 254. Middle East Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 255. Middle East Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 256. Africa Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 257. Africa Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 258. Africa Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 259. Africa Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 260. North America Fraud Detection Software, by Country USD Million (2025-2030)
  • Table 261. North America Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 262. North America Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 263. North America Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 264. North America Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 265. United States Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 266. United States Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 267. United States Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 268. United States Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 269. Canada Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 270. Canada Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 271. Canada Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 272. Canada Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 273. Mexico Fraud Detection Software, by Deployment Type USD Million (2025-2030)
  • Table 274. Mexico Fraud Detection Software, by Industry Verticals USD Million (2025-2030)
  • Table 275. Mexico Fraud Detection Software, by Organization Sizes USD Million (2025-2030)
  • Table 276. Mexico Fraud Detection Software, by Solution USD Million (2025-2030)
  • Table 277. Research Programs/Design for This Report
  • Table 278. Key Data Information from Secondary Sources
  • Table 279. 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 Software: by Deployment Type USD Million (2018-2023)
  • Figure 5. Global Fraud Detection Software: by Industry Verticals USD Million (2018-2023)
  • Figure 6. Global Fraud Detection Software: by Organization Sizes USD Million (2018-2023)
  • Figure 7. Global Fraud Detection Software: by Solution USD Million (2018-2023)
  • Figure 8. South America Fraud Detection Software Share (%), by Country
  • Figure 9. Asia Pacific Fraud Detection Software Share (%), by Country
  • Figure 10. Europe Fraud Detection Software Share (%), by Country
  • Figure 11. MEA Fraud Detection Software Share (%), by Country
  • Figure 12. North America Fraud Detection Software Share (%), by Country
  • Figure 13. Global Fraud Detection Software share by Players 2023 (%)
  • Figure 14. Global Fraud Detection Software share by Players (Top 3) 2023(%)
  • Figure 15. Global Fraud Detection Software share by Players (Top 5) 2023(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 18. IBM (United States) Revenue: by Geography 2023
  • Figure 19. FICO (United States) Revenue, Net Income and Gross profit
  • Figure 20. FICO (United States) Revenue: by Geography 2023
  • Figure 21. SAS Institute (United States) Revenue, Net Income and Gross profit
  • Figure 22. SAS Institute (United States) Revenue: by Geography 2023
  • Figure 23. BAE Systems (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 24. BAE Systems (United Kingdom) Revenue: by Geography 2023
  • Figure 25. DXC Technology (United States) Revenue, Net Income and Gross profit
  • Figure 26. DXC Technology (United States) Revenue: by Geography 2023
  • Figure 27. SAP (Germany) Revenue, Net Income and Gross profit
  • Figure 28. SAP (Germany) Revenue: by Geography 2023
  • Figure 29. ACI Worldwide (United States) Revenue, Net Income and Gross profit
  • Figure 30. ACI Worldwide (United States) Revenue: by Geography 2023
  • Figure 31. Fiserv (United States) Revenue, Net Income and Gross profit
  • Figure 32. Fiserv (United States) Revenue: by Geography 2023
  • Figure 33. NICE Systems (Israel) Revenue, Net Income and Gross profit
  • Figure 34. NICE Systems (Israel) Revenue: by Geography 2023
  • Figure 35. Experian (United States) Revenue, Net Income and Gross profit
  • Figure 36. Experian (United States) Revenue: by Geography 2023
  • Figure 37. LexisNexis Risk solutions (United States) Revenue, Net Income and Gross profit
  • Figure 38. LexisNexis Risk solutions (United States) Revenue: by Geography 2023
  • Figure 39. Iovation (United States) Revenue, Net Income and Gross profit
  • Figure 40. Iovation (United States) Revenue: by Geography 2023
  • Figure 41. Dell Technologies (United States) Revenue, Net Income and Gross profit
  • Figure 42. Dell Technologies (United States) Revenue: by Geography 2023
  • Figure 43. Wirecard (Germany) Revenue, Net Income and Gross profit
  • Figure 44. Wirecard (Germany) Revenue: by Geography 2023
  • Figure 45. Computer Services, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 46. Computer Services, Inc. (United States) Revenue: by Geography 2023
  • Figure 47. Software AG (Germany) Revenue, Net Income and Gross profit
  • Figure 48. Software AG (Germany) Revenue: by Geography 2023
  • Figure 49. Easy Solutions (United States) Revenue, Net Income and Gross profit
  • Figure 50. Easy Solutions (United States) Revenue: by Geography 2023
  • Figure 51. Distil Networks (United States) Revenue, Net Income and Gross profit
  • Figure 52. Distil Networks (United States) Revenue: by Geography 2023
  • Figure 53. Global Fraud Detection Software: by Deployment Type USD Million (2025-2030)
  • Figure 54. Global Fraud Detection Software: by Industry Verticals USD Million (2025-2030)
  • Figure 55. Global Fraud Detection Software: by Organization Sizes USD Million (2025-2030)
  • Figure 56. Global Fraud Detection Software: by Solution USD Million (2025-2030)
  • Figure 57. South America Fraud Detection Software Share (%), by Country
  • Figure 58. Asia Pacific Fraud Detection Software Share (%), by Country
  • Figure 59. Europe Fraud Detection Software Share (%), by Country
  • Figure 60. MEA Fraud Detection Software Share (%), by Country
  • Figure 61. North America Fraud Detection Software Share (%), by Country
List of companies from research coverage that are profiled in the study
  • IBM (United States)
  • FICO (United States)
  • SAS Institute (United States)
  • BAE Systems (United Kingdom)
  • DXC Technology (United States)
  • SAP (Germany)
  • ACI Worldwide (United States)
  • Fiserv (United States)
  • NICE Systems (Israel)
  • Experian (United States)
  • LexisNexis Risk solutions (United States)
  • iovation (United States)
  • Dell Technologies (United States)
  • Wirecard (Germany)
  • Computer Services, Inc. (United States)
  • Software AG (Germany)
  • Easy Solutions (United States)
  • Distil Networks (United States)
Additional players considered in the study are as follows:
Guardian Analytics (United States) , Securonix (United States) , MaxMind (United States) , Kount (United States) , Simility (United States)
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Key Highlights of Report


Feb 2024 216 Pages 59 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Global Fraud Detection Software Market Quantitative research analysis
Global Fraud Detection Software Market Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as IBM (United States), FICO (United States), SAS Institute (United States), BAE Systems (United Kingdom), DXC Technology (United States), SAP (Germany), ACI Worldwide (United States), Fiserv (United States), NICE Systems (Israel), Experian (United States), LexisNexis Risk solutions (United States), iovation (United States), Dell Technologies (United States), Wirecard (Germany), Computer Services, Inc. (United States), Software AG (Germany), Easy Solutions (United States) and Distil Networks (United States) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Growing Use of Big Data Analytics in Fraud Detection " is seen as one of major influencing trends for Fraud Detection Software Market during projected period 2023-2030.
The Fraud Detection Software market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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