APO Research, Inc.

APO RESEARCH · REPORT

AI Fraud Detection Software

Selected research

Market Analysis & Forecast

Global AI Fraud Detection Software Market Analysis and Forecast 2026-2032

Market perspective

The global AI Fraud Detection Software market is projected to grow from US$ million in 2026 to US$ million by 2032, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.

The North America market for AI Fraud Detection Software is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.

Europe market for AI Fraud Detection Software is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.

Read the full market overview

Asia-Pacific market for AI Fraud Detection Software is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.

The China market for AI Fraud Detection Software is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.

The major global companies of AI Fraud Detection Software include Feedzai, Kount, Sardine, SEON, Sift, Riskified, Fraudio, Pindrop Security and Mitek, etc. In 2025, the world's top three vendors accounted for approximately % of the revenue.

Report Includes

This report presents an overview of global market for AI Fraud Detection Software, market size. Analyses of the global market trends, with historic market revenue data for 2021 - 2025, estimates for 2026, and projections of CAGR through 2032.

This report researches the key producers of AI Fraud Detection Software, also provides the revenue of main regions and countries. Of the upcoming market potential for AI Fraud Detection Software, and key regions or countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.

This report focuses on the AI Fraud Detection Software revenue, market share and industry ranking of main manufacturers, data from 2021 to 2026. Identification of the major stakeholders in the global AI Fraud Detection Software market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.

This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2021 to 2032. Evaluation and forecast the market size for AI Fraud Detection Software revenue, projected growth trends, production technology, application and end-user industry.

AI Fraud Detection Software Segment by Company

Feedzai

Kount

Sardine

SEON

Sift

Riskified

Fraudio

Pindrop Security

Mitek

ComplyAdvantage

SymphonyAI

Accertify

IBM

Entrust

Tongdun Technology

AI Fraud Detection Software Segment by Type

Supervised Learning-based

Unsupervised Learning-based

Graph Neural Network-based

Others

AI Fraud Detection Software Segment by Application

Banking & Payments

Insurtech

E-commerce & Retail

Telecommunications

Government Services

Others

AI Fraud Detection Software Segment by Region

North America

United States

Canada

Mexico

Europe

Germany

France

U.K.

Italy

Russia

Spain

Netherlands

Switzerland

Sweden

Poland

Asia-Pacific

China

Japan

South Korea

India

Australia

Taiwan

Southeast Asia

South America

Brazil

Argentina

Chile

Middle East & Africa

Egypt

South Africa

Israel

Türkiye

GCC Countries

Study Objectives

1. To analyze and research the global status and future forecast, involving growth rate (CAGR), market share, historical and forecast.

2. To present the key players, revenue, market share, and Recent Developments.

3. To split the breakdown data by regions, type, manufacturers, and Application.

4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.

5. To identify significant trends, drivers, influence factors in global and regions.

6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.

Reasons to Buy This Report

1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global AI Fraud Detection Software market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.

2. This report will help stakeholders to understand the global industry status and trends of AI Fraud Detection Software and provides them with information on key market drivers, restraints, challenges, and opportunities.

3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in market size), competitor ecosystem, new product development, expansion, and acquisition.

4. This report stays updated with novel technology integration, features, and the latest developments in the market.

5. This report helps stakeholders to gain insights into which regions to target globally.

6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of AI Fraud Detection Software.

7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.

Chapter Outline

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.

Chapter 2: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 3: Revenue of AI Fraud Detection Software in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.

Chapter 4: Detailed analysis of AI Fraud Detection Software company competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.

Chapter 5: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 6: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 7: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, AI Fraud Detection Software revenue, gross margin, and recent development, etc.

Chapter 8: North America by type, by application and by country, revenue for each segment.

Chapter 9: Europe by type, by application and by country, revenue for each segment.

Chapter 10: China type, by application, revenue for each segment.

Chapter 11: Asia (excluding China) type, by application and by region, revenue for each segment.

Chapter 12: South America, Middle East and Africa by type, by application and by country, revenue for each segment.

Chapter 13: The main concluding insights of the report.

More report detail

Tables and figures
List of Tables Table 1. Global AI Fraud Detection Software Market Size Growth Rate by Type (US$ Million), 2021 VS 2025 VS 2032 Table 2. Supervised Learning-based Major Player Table 3. Unsupervised Learning-based Major Player Table 4. Graph Neural Network-based Major Player Table 5. Others Major Player Table 6. Global AI Fraud Detection Software Market Size Growth Rate by Application (US$ Million), 2021 VS 2025 VS 2032 Table 7. Banking & Payments Major Player Table 8. Insurtech Major Player Table 9. E-commerce & Retail Major Player Table 10. Telecommunications Major Player Table 11. Government Services Major Player Table 12. Others Major Player Table 13. AI Fraud Detection Software Industry Trends Table 14. AI Fraud Detection Software Industry Drivers Table 15. AI Fraud Detection Software Industry Opportunities and Challenges Table 16. AI Fraud Detection Software Industry Restraints Table 17. Global AI Fraud Detection Software Market Size Growth Rate (CAGR) by Region (US$ Million): 2021 VS 2025 VS 2032 Table 18. Global AI Fraud Detection Software Market Size by Region (2021-2026) & (US$ Million) Table 19. Global AI Fraud Detection Software Market Share by Region (2021-2026) Table 20. Global AI Fraud Detection Software Market Size by Region (2027-2032) & (US$ Million) Table 21. Global AI Fraud Detection Software Market Share by Region (2027-2032) Table 22. Global AI Fraud Detection Software Revenue by Players (US$ Million) & (2021-2026) Table 23. Global AI Fraud Detection Software Revenue Market Share by Players (2021-2026) Table 24. Global AI Fraud Detection Software Key Players Ranking, 2024 VS 2025 VS 2026 Table 25. Global AI Fraud Detection Software Key Players Headquarters & Area Served Table 26. Global AI Fraud Detection Software Players, Product Type & Application Table 27. Global AI Fraud Detection Software Players Establishment Date Table 28. Global Players Market Concentration Ratio (CR5 and HHI) Table 29. Global AI Fraud Detection Software by Players Type (Tier 1, Tier 2, and Tier 3) & (Based on the Revenue of 2025) Table 30. Global AI Fraud Detection Software Revenue by Type 2021 VS 2025 VS 2032 (US$ Million) Table 31. Global AI Fraud Detection Software Revenue by Type (2021-2026) & (US$ Million) Table 32. Global AI Fraud Detection Software Revenue by Type (2027-2032) & (US$ Million) Table 33. Global AI Fraud Detection Software Revenue Market Share by Type (2021-2026) Table 34. Global AI Fraud Detection Software Revenue Market Share by Type (2027-2032) Table 35. Global AI Fraud Detection Software Revenue by Application 2021 VS 2025 VS 2032 (US$ Million) Table 36. Global AI Fraud Detection Software Revenue by Application (2021-2026) & (US$ Million) Table 37. Global AI Fraud Detection Software Revenue by Application (2027-2032) & (US$ Million) Table 38. Global AI Fraud Detection Software Revenue Market Share by Application (2021-2026) Table 39. Global AI Fraud Detection Software Revenue Market Share by Application (2027-2032) Table 40. Feedzai Company Information Table 41. Feedzai Business Overview Table 42. Feedzai AI Fraud Detection Software Revenue and Gross Margin (US$ Million) & (2021-2026) Table 43. Feedzai AI Fraud Detection Software Product Portfolio Table 44. Feedzai Recent Development Table 45. Kount Company Information Table 46. Kount Business Overview Table 47. Kount AI Fraud Detection Software Revenue and Gross Margin (US$ Million) & (2021-2026) Table 48. Kount AI Fraud Detection Software Product Portfolio Table 49. Kount Recent Development Table 50. Sardine Company Information Table 51. Sardine Business Overview Table 52. Sardine AI Fraud Detection Software Revenue and Gross Margin (US$ Million) & (2021-2026) Table 53. Sardine AI Fraud Detection Software Product Portfolio Table 54. Sardine Recent Development Table 55. SEON Company Information Table 56. SEON Business Overview Table 57. SEON AI Fraud Detection Software Revenue and Gross Margin (US$ Million) & (2021-2026) Table 58. SEON AI Fraud Detection Software Product Portfolio Table 59. SEON Recent Development Table 60. Sift Company Information Table 61. Sift Business Overview Table 62. Sift AI Fraud Detection Software Revenue and Gross Margin (US$ Million) & (2021-2026) Table 63. Sift AI Fraud Detection Software Product Portfolio Table 64. Sift Recent Development Table 65. Riskified Company Information Table 66. Riskified Business Overview Table 67. Riskified AI Fraud Detection Software Revenue and Gross Margin (US$ Million) & (2021-2026) Table 68. Riskified AI Fraud Detection Software Product Portfolio Table 69. Riskified Recent Development Table 70. Fraudio Company Information Table 71. Fraudio Business Overview Table 72. Fraudio AI Fraud Detection Software Revenue and Gross Margin (US$ Million) & (2021-2026) Table 73. Fraudio AI Fraud Detection Software Product Portfolio Table 74. Fraudio Recent Development Table 75. Pindrop Security Company Information Table 76. Pindrop Security Business Overview Table 77. Pindrop Security AI Fraud Detection Software Revenue and Gross Margin (US$ Million) & (2021-2026) Table 78. Pindrop Security AI Fraud Detection Software Product Portfolio Table 79. Pindrop Security Recent Development Table 80. Mitek Company Information Table 81. Mitek Business Overview Table 82. Mitek AI Fraud Detection Software Revenue and Gross Margin (US$ Million) & (2021-2026) Table 83. Mitek AI Fraud Detection Software Product Portfolio Table 84. Mitek Recent Development Table 85. ComplyAdvantage Company Information Table 86. ComplyAdvantage Business Overview Table 87. ComplyAdvantage AI Fraud Detection Software Revenue and Gross Margin (US$ Million) & (2021-2026) Table 88. ComplyAdvantage AI Fraud Detection Software Product Portfolio Table 89. ComplyAdvantage Recent Development Table 90. SymphonyAI Company Information Table 91. SymphonyAI Business Overview Table 92. SymphonyAI AI Fraud Detection Software Sales (k units), Revenue (US$ Million), Price (USD/unit) and Gross Margin (2021-2026) Table 93. SymphonyAI AI Fraud Detection Software Product Portfolio Table 94. SymphonyAI Recent Development Table 95. Accertify Company Information Table 96. Accertify Business Overview Table 97. Accertify AI Fraud Detection Software Sales (k units), Revenue (US$ Million), Price (USD/unit) and Gross Margin (2021-2026) Table 98. Accertify AI Fraud Detection Software Product Portfolio Table 99. Accertify Recent Development Table 100. IBM Company Information Table 101. IBM Business Overview Table 102. IBM AI Fraud Detection Software Sales (k units), Revenue (US$ Million), Price (USD/unit) and Gross Margin (2021-2026) Table 103. IBM AI Fraud Detection Software Product Portfolio Table 104. IBM Recent Development Table 105. Entrust Company Information Table 106. Entrust Business Overview Table 107. Entrust AI Fraud Detection Software Sales (k units), Revenue (US$ Million), Price (USD/unit) and Gross Margin (2021-2026) Table 108. Entrust AI Fraud Detection Software Product Portfolio Table 109. Entrust Recent Development Table 110. Tongdun Technology Company Information Table 111. Tongdun Technology Business Overview Table 112. Tongdun Technology AI Fraud Detection Software Sales (k units), Revenue (US$ Million), Price (USD/unit) and Gross Margin (2021-2026) Table 113. Tongdun Technology AI Fraud Detection Software Product Portfolio Table 114. Tongdun Technology Recent Development Table 115. North America AI Fraud Detection Software Revenue by Type (2021-2026) & (US$ Million) Table 116. North America AI Fraud Detection Software Revenue by Type (2027-2032) & (US$ Million) Table 117. North America AI Fraud Detection Software Revenue by Application (2021-2026) & (US$ Million) Table 118. North America AI Fraud Detection Software Revenue by Application (2027-2032) & (US$ Million) Table 119. North America AI Fraud Detection Software Revenue by Country (2021 VS 2025 VS 2032) & (US$ Million) Table 120. North America AI Fraud Detection Software Revenue by Country (2021-2026) & (US$ Million) Table 121. North America AI Fraud Detection Software Revenue by Country (US$ Million) & (2027-2032) Table 122. Europe AI Fraud Detection Software Revenue by Type (2021-2026) & (US$ Million) Table 123. Europe AI Fraud Detection Software Revenue by Type (2027-2032) & (US$ Million) Table 124. Europe AI Fraud Detection Software Revenue by Application (2021-2026) & (US$ Million) Table 125. Europe AI Fraud Detection Software Revenue by Application (2027-2032) & (US$ Million) Table 126. Europe AI Fraud Detection Software Revenue by Country (2021 VS 2025 VS 2032) & (US$ Million) Table 127. Europe AI Fraud Detection Software Revenue by Country (2021-2026) & (US$ Million) Table 128. Europe AI Fraud Detection Software Revenue by Country (US$ Million) & (2027-2032) Table 129. China AI Fraud Detection Software Revenue by Type (2021-2026) & (US$ Million) Table 130. China AI Fraud Detection Software Revenue by Type (2027-2032) & (US$ Million) Table 131. China AI Fraud Detection Software Revenue by Application (2021-2026) & (US$ Million) Table 132. China AI Fraud Detection Software Revenue by Application (2027-2032) & (US$ Million) Table 133. Asia AI Fraud Detection Software Revenue by Type (2021-2026) & (US$ Million) Table 134. Asia AI Fraud Detection Software Revenue by Type (2027-2032) & (US$ Million) Table 135. Asia AI Fraud Detection Software Revenue by Application (2021-2026) & (US$ Million) Table 136. Asia AI Fraud Detection Software Revenue by Application (2027-2032) & (US$ Million) Table 137. Asia AI Fraud Detection Software Revenue by Region (2021 VS 2025 VS 2032) & (US$ Million) Table 138. Asia AI Fraud Detection Software Revenue by Region (US$ Million) & (2021-2026) Table 139. Asia AI Fraud Detection Software Revenue by Region (US$ Million) & (2027-2032) Table 140. SAMEA AI Fraud Detection Software Revenue by Type (2021-2026) & (US$ Million) Table 141. SAMEA AI Fraud Detection Software Revenue by Type (2027-2032) & (US$ Million) Table 142. SAMEA AI Fraud Detection Software Revenue by Application (2021-2026) & (US$ Million) Table 143. SAMEA AI Fraud Detection Software Revenue by Application (2027-2032) & (US$ Million) Table 144. SAMEA AI Fraud Detection Software Revenue by Country (2021 VS 2025 VS 2032) & (US$ Million) Table 145. SAMEA AI Fraud Detection Software Revenue by Country (2021-2026) & (US$ Million) Table 146. SAMEA AI Fraud Detection Software Revenue by Country (US$ Million) & (2027-2032) Table 147. Research Programs/Design for This Report Table 148. Authors List of This Report Table 149. Secondary Sources Table 150. Primary Sources List of Figures Figure 1. AI Fraud Detection Software Image Figure 2. Global AI Fraud Detection Software Market Size Growth Rate by Type (US$ Million), 2021 VS 2025 VS 2032 Figure 3. Global AI Fraud Detection Software Market Size Share 2021 VS 2025 VS 2032 Figure 4. Supervised Learning-based Image Figure 5. Unsupervised Learning-based Image Figure 6. Graph Neural Network-based Image Figure 7. Others Image Figure 8. Global AI Fraud Detection Software Market Size Growth Rate by Application (US$ Million), 2021 VS 2025 VS 2032 Figure 9. Global AI Fraud Detection Software Market Size Share 2021 VS 2025 VS 2032 Figure 10. Banking & Payments Image Figure 11. Insurtech Image Figure 12. E-commerce & Retail Image Figure 13. Telecommunications Image Figure 14. Government Services Image Figure 15. Others Image Figure 16. Global AI Fraud Detection Software Market Size (US$ Million) & (2021-2032) Figure 17. Global AI Fraud Detection Software Market Size, (US$ Million), 2021 VS 2025 VS 2032 Figure 18. Global AI Fraud Detection Software Market Share by Region: 2021 VS 2025 VS 2032 Figure 19. Global AI Fraud Detection Software Players Revenue Share Top 10 and Top 5 in 2025 Figure 20. Players Type (Tier 1, Tier 2, and Tier 3): 2021 VS 2025 Figure 21. Global AI Fraud Detection Software Revenue by Type (2021 VS 2025 VS 2032) & (US$ Million) Figure 22. Global AI Fraud Detection Software Revenue Market Share 2021 VS 2025 VS 2032 Figure 23. Global AI Fraud Detection Software Revenue Market Share by Type (2021-2032) Figure 24. Global AI Fraud Detection Software Revenue by Application (2021 VS 2025 VS 2032) & (US$ Million) Figure 25. Global AI Fraud Detection Software Revenue Market Share by Application (2021 VS 2025 VS 2032) Figure 26. Global AI Fraud Detection Software Revenue Market Share by Application (2021-2032) Figure 27. North America AI Fraud Detection Software Revenue YoY Growth (2021-2032) & (US$ Million) Figure 28. North America AI Fraud Detection Software Revenue Share by Type (2021-2032) Figure 29. North America AI Fraud Detection Software Revenue Share by Application (2021-2032) Figure 30. North America AI Fraud Detection Software Revenue Share by Country (2021-2032) Figure 31. United States AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 32. Canada AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 33. Mexico AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 34. Europe AI Fraud Detection Software Revenue YoY Growth (2021-2032) & (US$ Million) Figure 35. Europe AI Fraud Detection Software Revenue Share by Type (2021-2032) Figure 36. Europe AI Fraud Detection Software Revenue Share by Application (2021-2032) Figure 37. Europe AI Fraud Detection Software Revenue Share by Country (2021-2032) Figure 38. Germany AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 39. France AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 40. U.K. AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 41. Italy AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 42. Spain AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 43. Russia AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 44. Netherlands AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 45. Nordic Countries AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 46. China AI Fraud Detection Software Revenue YoY Growth (2021-2032) & (US$ Million) Figure 47. China AI Fraud Detection Software Revenue Share by Type (2021-2032) Figure 48. China AI Fraud Detection Software Revenue Share by Application (2021-2032) Figure 49. Asia AI Fraud Detection Software Revenue YoY Growth (2021-2032) & (US$ Million) Figure 50. Asia AI Fraud Detection Software Revenue Share by Type (2021-2032) Figure 51. Asia AI Fraud Detection Software Revenue Share by Application (2021-2032) Figure 52. Asia AI Fraud Detection Software Revenue Share by Region (2021-2032) Figure 53. Japan AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 54. South Korea AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 55. India AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 56. Australia AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 57. Taiwan AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 58. Southeast Asia AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 59. SAMEA AI Fraud Detection Software Revenue YoY Growth (2021-2032) & (US$ Million) Figure 60. SAMEA AI Fraud Detection Software Revenue Share by Type (2021-2032) Figure 61. SAMEA AI Fraud Detection Software Revenue Share by Application (2021-2032) Figure 62. SAMEA AI Fraud Detection Software Revenue Share by Country (2021-2032) Figure 63. Brazil AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 64. Argentina AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 65. Chile AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 66. Colombia AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 67. Peru AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 68. Saudi Arabia AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 69. Israel AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 70. UAE AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 71. Turkey AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 72. Iran AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 73. Egypt AI Fraud Detection Software Revenue YoY Growth (US$ Million) & (2021-2032) Figure 74. Years Considered Figure 75. Research Process Figure 76. Key Executives Interviewed

Scope & coverage.

Types
  • Supervised Learning-based
  • Unsupervised Learning-based
  • Graph Neural Network-based
  • Others
Applications
  • Banking & Payments
  • Insurtech
  • E-commerce & Retail
  • Telecommunications
  • Government Services
  • Others
Companies covered
  • Feedzai
  • Kount
  • Sardine
  • SEON
  • Sift
  • Riskified
  • Fraudio
  • Pindrop Security
  • Mitek
  • ComplyAdvantage
  • SymphonyAI
  • Accertify
  • IBM
  • Entrust
  • Tongdun Technology

Inside the report.

1 Market Overview
  1. 1.1 Product Definition
  2. 1.2 AI Fraud Detection Software Market by Type
  3. 1.2.1 Global AI Fraud Detection Software Market Size by Type, 2021 VS 2025 VS 2032
  4. 1.2.2 Supervised Learning-based
  5. 1.2.3 Unsupervised Learning-based
  6. 1.2.4 Graph Neural Network-based
  7. 1.2.5 Others
  8. 1.3 AI Fraud Detection Software Market by Application
  9. 1.3.1 Global AI Fraud Detection Software Market Size by Application, 2021 VS 2025 VS 2032
  10. 1.3.2 Banking & Payments
  11. 1.3.3 Insurtech
  12. 1.3.4 E-commerce & Retail
  13. 1.3.5 Telecommunications
  14. 1.3.6 Government Services
  15. 1.3.7 Others
  16. 1.4 Assumptions and Limitations
  17. 1.5 Study Goals and Objectives
2 AI Fraud Detection Software Market Dynamics
  1. 2.1 AI Fraud Detection Software Industry Trends
  2. 2.2 AI Fraud Detection Software Industry Drivers
  3. 2.3 AI Fraud Detection Software Industry Opportunities and Challenges
  4. 2.4 AI Fraud Detection Software Industry Restraints
3 Global Growth Perspective
  1. 3.1 Global AI Fraud Detection Software Market Perspective (2021-2032)
  2. 3.2 Global AI Fraud Detection Software Growth Trends by Region
  3. 3.2.1 Global AI Fraud Detection Software Market Size by Region: 2021 VS 2025 VS 2032
  4. 3.2.2 Global AI Fraud Detection Software Market Size by Region (2021-2026)
  5. 3.2.3 Global AI Fraud Detection Software Market Size by Region (2027-2032)
4 Competitive Landscape by Players
  1. 4.1 Global AI Fraud Detection Software Revenue by Players
  2. 4.1.1 Global AI Fraud Detection Software Revenue by Players (2021-2026)
  3. 4.1.2 Global AI Fraud Detection Software Revenue Market Share by Players (2021-2026)
  4. 4.1.3 Global AI Fraud Detection Software Players Revenue Share Top 10 and Top 5 in 2025
  5. 4.2 Global AI Fraud Detection Software Key Players Ranking, 2024 VS 2025 VS 2026
  6. 4.3 Global AI Fraud Detection Software Key Players Headquarters & Area Served
  7. 4.4 Global AI Fraud Detection Software Players, Product Type & Application
  8. 4.5 Global AI Fraud Detection Software Players Establishment Date
  9. 4.6 Market Competitive Analysis
  10. 4.6.1 Global AI Fraud Detection Software Market CR5 and HHI
  11. 4.6.3 2025 AI Fraud Detection Software Tier 1, Tier 2, and Tier 3
5 AI Fraud Detection Software Market Size by Type
  1. 5.1 Global AI Fraud Detection Software Revenue by Type (2021 VS 2025 VS 2032)
  2. 5.2 Global AI Fraud Detection Software Revenue by Type (2021-2032)
  3. 5.3 Global AI Fraud Detection Software Revenue Market Share by Type (2021-2032)
6 AI Fraud Detection Software Market Size by Application
  1. 6.1 Global AI Fraud Detection Software Revenue by Application (2021 VS 2025 VS 2032)
  2. 6.2 Global AI Fraud Detection Software Revenue by Application (2021-2032)
  3. 6.3 Global AI Fraud Detection Software Revenue Market Share by Application (2021-2032)
7 Company Profiles
  1. 7.1 Feedzai
  2. 7.1.1 Feedzai Company Information
  3. 7.1.2 Feedzai Business Overview
  4. 7.1.3 Feedzai AI Fraud Detection Software Revenue and Gross Margin (2021-2026)
  5. 7.1.4 Feedzai AI Fraud Detection Software Product Portfolio
  6. 7.1.5 Feedzai Recent Developments
  7. 7.2 Kount
  8. 7.2.1 Kount Company Information
  9. 7.2.2 Kount Business Overview
  10. 7.2.3 Kount AI Fraud Detection Software Revenue and Gross Margin (2021-2026)
  11. 7.2.4 Kount AI Fraud Detection Software Product Portfolio
  12. 7.2.5 Kount Recent Developments
  13. 7.3 Sardine
  14. 7.3.1 Sardine Company Information
  15. 7.3.2 Sardine Business Overview
  16. 7.3.3 Sardine AI Fraud Detection Software Revenue and Gross Margin (2021-2026)
  17. 7.3.4 Sardine AI Fraud Detection Software Product Portfolio
  18. 7.3.5 Sardine Recent Developments
  19. 7.4 SEON
  20. 7.4.1 SEON Company Information
  21. 7.4.2 SEON Business Overview
  22. 7.4.3 SEON AI Fraud Detection Software Revenue and Gross Margin (2021-2026)
  23. 7.4.4 SEON AI Fraud Detection Software Product Portfolio
  24. 7.4.5 SEON Recent Developments
  25. 7.5 Sift
  26. 7.5.1 Sift Company Information
  27. 7.5.2 Sift Business Overview
  28. 7.5.3 Sift AI Fraud Detection Software Revenue and Gross Margin (2021-2026)
  29. 7.5.4 Sift AI Fraud Detection Software Product Portfolio
  30. 7.5.5 Sift Recent Developments
  31. 7.6 Riskified
  32. 7.6.1 Riskified Company Information
  33. 7.6.2 Riskified Business Overview
  34. 7.6.3 Riskified AI Fraud Detection Software Revenue and Gross Margin (2021-2026)
  35. 7.6.4 Riskified AI Fraud Detection Software Product Portfolio
  36. 7.6.5 Riskified Recent Developments
  37. 7.7 Fraudio
  38. 7.7.1 Fraudio Company Information
  39. 7.7.2 Fraudio Business Overview
  40. 7.7.3 Fraudio AI Fraud Detection Software Revenue and Gross Margin (2021-2026)
  41. 7.7.4 Fraudio AI Fraud Detection Software Product Portfolio
  42. 7.7.5 Fraudio Recent Developments
  43. 7.8 Pindrop Security
  44. 7.8.1 Pindrop Security Company Information
  45. 7.8.2 Pindrop Security Business Overview
  46. 7.8.3 Pindrop Security AI Fraud Detection Software Revenue and Gross Margin (2021-2026)
  47. 7.8.4 Pindrop Security AI Fraud Detection Software Product Portfolio
  48. 7.8.5 Pindrop Security Recent Developments
  49. 7.9 Mitek
  50. 7.9.1 Mitek Company Information
  51. 7.9.2 Mitek Business Overview
  52. 7.9.3 Mitek AI Fraud Detection Software Revenue and Gross Margin (2021-2026)
  53. 7.9.4 Mitek AI Fraud Detection Software Product Portfolio
  54. 7.9.5 Mitek Recent Developments
  55. 7.10 ComplyAdvantage
  56. 7.10.1 ComplyAdvantage Company Information
  57. 7.10.2 ComplyAdvantage Business Overview
  58. 7.10.3 ComplyAdvantage AI Fraud Detection Software Revenue and Gross Margin (2021-2026)
  59. 7.10.4 ComplyAdvantage AI Fraud Detection Software Product Portfolio
  60. 7.10.5 ComplyAdvantage Recent Developments
  61. 7.11 SymphonyAI
  62. 7.11.1 SymphonyAI Company Information
  63. 7.11.2 SymphonyAI Business Overview
  64. 7.11.3 SymphonyAI AI Fraud Detection Software Revenue and Gross Margin (2021-2026)
  65. 7.11.4 SymphonyAI AI Fraud Detection Software Product Portfolio
  66. 7.11.5 SymphonyAI Recent Developments
  67. 7.12 Accertify
  68. 7.12.1 Accertify Company Information
  69. 7.12.2 Accertify Business Overview
  70. 7.12.3 Accertify AI Fraud Detection Software Revenue and Gross Margin (2021-2026)
  71. 7.12.4 Accertify AI Fraud Detection Software Product Portfolio
  72. 7.12.5 Accertify Recent Developments
  73. 7.13 IBM
  74. 7.13.1 IBM Company Information
  75. 7.13.2 IBM Business Overview
  76. 7.13.3 IBM AI Fraud Detection Software Revenue and Gross Margin (2021-2026)
  77. 7.13.4 IBM AI Fraud Detection Software Product Portfolio
  78. 7.13.5 IBM Recent Developments
  79. 7.14 Entrust
  80. 7.14.1 Entrust Company Information
  81. 7.14.2 Entrust Business Overview
  82. 7.14.3 Entrust AI Fraud Detection Software Revenue and Gross Margin (2021-2026)
  83. 7.14.4 Entrust AI Fraud Detection Software Product Portfolio
  84. 7.14.5 Entrust Recent Developments
  85. 7.15 Tongdun Technology
  86. 7.15.1 Tongdun Technology Company Information
  87. 7.15.2 Tongdun Technology Business Overview
  88. 7.15.3 Tongdun Technology AI Fraud Detection Software Revenue and Gross Margin (2021-2026)
  89. 7.15.4 Tongdun Technology AI Fraud Detection Software Product Portfolio
  90. 7.15.5 Tongdun Technology Recent Developments
8 North America
  1. 8.1 North America AI Fraud Detection Software Revenue (2021-2032)
  2. 8.2 North America AI Fraud Detection Software Revenue by Type (2021-2032)
  3. 8.2.1 North America AI Fraud Detection Software Revenue by Type (2021-2026)
  4. 8.2.2 North America AI Fraud Detection Software Revenue by Type (2027-2032)
  5. 8.3 North America AI Fraud Detection Software Revenue Share by Type (2021-2032)
  6. 8.4 North America AI Fraud Detection Software Revenue by Application (2021-2032)
  7. 8.4.1 North America AI Fraud Detection Software Revenue by Application (2021-2026)
  8. 8.4.2 North America AI Fraud Detection Software Revenue by Application (2027-2032)
  9. 8.5 North America AI Fraud Detection Software Revenue Share by Application (2021-2032)
  10. 8.6 North America AI Fraud Detection Software Revenue by Country
  11. 8.6.1 North America AI Fraud Detection Software Revenue by Country (2021 VS 2025 VS 2032)
  12. 8.6.2 North America AI Fraud Detection Software Revenue by Country (2021-2026)
  13. 8.6.3 North America AI Fraud Detection Software Revenue by Country (2027-2032)
  14. 8.6.4 United States
  15. 8.6.5 Canada
  16. 8.6.6 Mexico
9 Europe
  1. 9.1 Europe AI Fraud Detection Software Revenue (2021-2032)
  2. 9.2 Europe AI Fraud Detection Software Revenue by Type (2021-2032)
  3. 9.2.1 Europe AI Fraud Detection Software Revenue by Type (2021-2026)
  4. 9.2.2 Europe AI Fraud Detection Software Revenue by Type (2027-2032)
  5. 9.3 Europe AI Fraud Detection Software Revenue Share by Type (2021-2032)
  6. 9.4 Europe AI Fraud Detection Software Revenue by Application (2021-2032)
  7. 9.4.1 Europe AI Fraud Detection Software Revenue by Application (2021-2026)
  8. 9.4.2 Europe AI Fraud Detection Software Revenue by Application (2027-2032)
  9. 9.5 Europe AI Fraud Detection Software Revenue Share by Application (2021-2032)
  10. 9.6 Europe AI Fraud Detection Software Revenue by Country
  11. 9.6.1 Europe AI Fraud Detection Software Revenue by Country (2021 VS 2025 VS 2032)
  12. 9.6.2 Europe AI Fraud Detection Software Revenue by Country (2021-2026)
  13. 9.6.3 Europe AI Fraud Detection Software Revenue by Country (2027-2032)
  14. 9.6.4 Germany
  15. 9.6.5 France
  16. 9.6.6 U.K.
  17. 9.6.7 Italy
  18. 9.6.8 Russia
  19. 9.6.9 Spain
  20. 9.6.10 Netherlands
  21. 9.6.11 Switzerland
  22. 9.6.12 Sweden
  23. 9.6.13 Poland
10 China
  1. 10.1 China AI Fraud Detection Software Revenue (2021-2032)
  2. 10.2 China AI Fraud Detection Software Revenue by Type (2021-2032)
  3. 10.2.1 China AI Fraud Detection Software Revenue by Type (2021-2026)
  4. 10.2.2 China AI Fraud Detection Software Revenue by Type (2027-2032)
  5. 10.3 China AI Fraud Detection Software Revenue Share by Type (2021-2032)
  6. 10.4 China AI Fraud Detection Software Revenue by Application (2021-2032)
  7. 10.4.1 China AI Fraud Detection Software Revenue by Application (2021-2026)
  8. 10.4.2 China AI Fraud Detection Software Revenue by Application (2027-2032)
  9. 10.5 China AI Fraud Detection Software Revenue Share by Application (2021-2032)
11 Asia (Excluding China)
  1. 11.1 Asia AI Fraud Detection Software Revenue (2021-2032)
  2. 11.2 Asia AI Fraud Detection Software Revenue by Type (2021-2032)
  3. 11.2.1 Asia AI Fraud Detection Software Revenue by Type (2021-2026)
  4. 11.2.2 Asia AI Fraud Detection Software Revenue by Type (2027-2032)
  5. 11.3 Asia AI Fraud Detection Software Revenue Share by Type (2021-2032)
  6. 11.4 Asia AI Fraud Detection Software Revenue by Application (2021-2032)
  7. 11.4.1 Asia AI Fraud Detection Software Revenue by Application (2021-2026)
  8. 11.4.2 Asia AI Fraud Detection Software Revenue by Application (2027-2032)
  9. 11.5 Asia AI Fraud Detection Software Revenue Share by Application (2021-2032)
  10. 11.6 Asia AI Fraud Detection Software Revenue by Country
  11. 11.6.1 Asia AI Fraud Detection Software Revenue by Country (2021 VS 2025 VS 2032)
  12. 11.6.2 Asia AI Fraud Detection Software Revenue by Country (2021-2026)
  13. 11.6.3 Asia AI Fraud Detection Software Revenue by Country (2027-2032)
  14. 11.6.4 Japan
  15. 11.6.5 South Korea
  16. 11.6.6 India
  17. 11.6.7 Australia
  18. 11.6.8 Taiwan
  19. 11.6.9 Southeast Asia
12 South America, Middle East and Africa
  1. 12.1 SAMEA AI Fraud Detection Software Revenue (2021-2032)
  2. 12.2 SAMEA AI Fraud Detection Software Revenue by Type (2021-2032)
  3. 12.2.1 SAMEA AI Fraud Detection Software Revenue by Type (2021-2026)
  4. 12.2.2 SAMEA AI Fraud Detection Software Revenue by Type (2027-2032)
  5. 12.3 SAMEA AI Fraud Detection Software Revenue Share by Type (2021-2032)
  6. 12.4 SAMEA AI Fraud Detection Software Revenue by Application (2021-2032)
  7. 12.4.1 SAMEA AI Fraud Detection Software Revenue by Application (2021-2026)
  8. 12.4.2 SAMEA AI Fraud Detection Software Revenue by Application (2027-2032)
  9. 12.5 SAMEA AI Fraud Detection Software Revenue Share by Application (2021-2032)
  10. 12.6 SAMEA AI Fraud Detection Software Revenue by Country
  11. 12.6.1 SAMEA AI Fraud Detection Software Revenue by Country (2021 VS 2025 VS 2032)
  12. 12.6.2 SAMEA AI Fraud Detection Software Revenue by Country (2021-2026)
  13. 12.6.3 SAMEA AI Fraud Detection Software Revenue by Country (2027-2032)
  14. 12.6.4 Brazil
  15. 12.6.5 Argentina
  16. 12.6.6 Chile
  17. 12.6.7 Colombia
  18. 12.6.8 Peru
  19. 12.6.9 Saudi Arabia
  20. 12.6.10 Israel
  21. 12.6.11 UAE
  22. 12.6.12 Turkey
  23. 12.6.13 Iran
  24. 12.6.14 Egypt
13 Concluding Insights
    14 Appendix
    1. 14.1 Reasons for Doing This Study
    2. 14.2 Research Methodology
    3. 14.3 Research Process
    4. 14.4 Authors List of This Report
    5. 14.5 Data Source
    6. 14.5.1 Secondary Sources
    7. 14.5.2 Primary Sources

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