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AI Fraud Detection in Banking

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Market Analysis & Forecast

Global AI Fraud Detection in Banking Market Analysis and Forecast 2026-2032

2 May 2026223 pages

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Industry ResearchAI Fraud Detection in Banking Industry Research Report 2026139 pages · $2,950 USDIndustry Growth & TrendsGlobal AI Fraud Detection in Banking Industry Growth and Trends Forecast to 2032122 pages · $3,450 USDMarket StructureGlobal AI Fraud Detection in Banking Market by Size, by Type, by Application, by Region, History and Forecast 2021-2032199 pages · $3,950 USDMarket Outlook & Growth OpportunitiesGlobal AI Fraud Detection in Banking Market Outlook and Growth Opportunities 2026199 pages · $4,250 USDMarket Analysis & ForecastGlobal AI Fraud Detection in Banking Market Analysis and Forecast 2026-2032223 pages · $4,950 USD

Market perspective

The global AI Fraud Detection in Banking 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 in Banking 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 in Banking 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 in Banking 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 in Banking 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 in Banking include Eastnets, Feedzai, Resistant AI, NetGuardians, ADVANCE, Sift, Fraud.net, SEON and Sardine, 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 in Banking, 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 in Banking, also provides the revenue of main regions and countries. Of the upcoming market potential for AI Fraud Detection in Banking, 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 in Banking 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 in Banking 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 in Banking revenue, projected growth trends, production technology, application and end-user industry.

AI Fraud Detection in Banking Segment by Company

Eastnets

Feedzai

Resistant AI

NetGuardians

ADVANCE

Sift

Fraud.net

SEON

Sardine

Mastercard Consumer Fraud Risk

Cifas

GFT

Hawk

SymphonyAI

SB Payment Service

KPMG

NICE Actimize

DataVisor

4Paradigm

Shanghai Shengteng Data Technology

Iflytek

AI Fraud Detection in Banking Segment by Type

Supervised Learning-based Fraud Detection

Unsupervised Learning-based Fraud Detection

AI Fraud Detection in Banking Segment by Application

Real-Time Transaction Monitoring

Credit Card & Payment Fraud Prevention

Identity Verification & Biometric Authentication

Others

AI Fraud Detection in Banking 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 in Banking 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 in Banking 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 in Banking.

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 in Banking 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 in Banking 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 in Banking 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 in Banking Market Size Growth Rate by Type (US$ Million), 2021 VS 2025 VS 2032 Table 2. Supervised Learning-based Fraud Detection Major Player Table 3. Unsupervised Learning-based Fraud Detection Major Player Table 4. Global AI Fraud Detection in Banking Market Size Growth Rate by Application (US$ Million), 2021 VS 2025 VS 2032 Table 5. Real-Time Transaction Monitoring Major Player Table 6. Credit Card & Payment Fraud Prevention Major Player Table 7. Identity Verification & Biometric Authentication Major Player Table 8. Others Major Player Table 9. AI Fraud Detection in Banking Industry Trends Table 10. AI Fraud Detection in Banking Industry Drivers Table 11. AI Fraud Detection in Banking Industry Opportunities and Challenges Table 12. AI Fraud Detection in Banking Industry Restraints Table 13. Global AI Fraud Detection in Banking Market Size Growth Rate (CAGR) by Region (US$ Million): 2021 VS 2025 VS 2032 Table 14. Global AI Fraud Detection in Banking Market Size by Region (2021-2026) & (US$ Million) Table 15. Global AI Fraud Detection in Banking Market Share by Region (2021-2026) Table 16. Global AI Fraud Detection in Banking Market Size by Region (2027-2032) & (US$ Million) Table 17. Global AI Fraud Detection in Banking Market Share by Region (2027-2032) Table 18. Global AI Fraud Detection in Banking Revenue by Players (US$ Million) & (2021-2026) Table 19. Global AI Fraud Detection in Banking Revenue Market Share by Players (2021-2026) Table 20. Global AI Fraud Detection in Banking Key Players Ranking, 2024 VS 2025 VS 2026 Table 21. Global AI Fraud Detection in Banking Key Players Headquarters & Area Served Table 22. Global AI Fraud Detection in Banking Players, Product Type & Application Table 23. Global AI Fraud Detection in Banking Players Establishment Date Table 24. Global Players Market Concentration Ratio (CR5 and HHI) Table 25. Global AI Fraud Detection in Banking by Players Type (Tier 1, Tier 2, and Tier 3) & (Based on the Revenue of 2025) Table 26. Global AI Fraud Detection in Banking Revenue by Type 2021 VS 2025 VS 2032 (US$ Million) Table 27. Global AI Fraud Detection in Banking Revenue by Type (2021-2026) & (US$ Million) Table 28. Global AI Fraud Detection in Banking Revenue by Type (2027-2032) & (US$ Million) Table 29. Global AI Fraud Detection in Banking Revenue Market Share by Type (2021-2026) Table 30. Global AI Fraud Detection in Banking Revenue Market Share by Type (2027-2032) Table 31. Global AI Fraud Detection in Banking Revenue by Application 2021 VS 2025 VS 2032 (US$ Million) Table 32. Global AI Fraud Detection in Banking Revenue by Application (2021-2026) & (US$ Million) Table 33. Global AI Fraud Detection in Banking Revenue by Application (2027-2032) & (US$ Million) Table 34. Global AI Fraud Detection in Banking Revenue Market Share by Application (2021-2026) Table 35. Global AI Fraud Detection in Banking Revenue Market Share by Application (2027-2032) Table 36. Eastnets Company Information Table 37. Eastnets Business Overview Table 38. Eastnets AI Fraud Detection in Banking Revenue and Gross Margin (US$ Million) & (2021-2026) Table 39. Eastnets AI Fraud Detection in Banking Product Portfolio Table 40. Eastnets Recent Development Table 41. Feedzai Company Information Table 42. Feedzai Business Overview Table 43. Feedzai AI Fraud Detection in Banking Revenue and Gross Margin (US$ Million) & (2021-2026) Table 44. Feedzai AI Fraud Detection in Banking Product Portfolio Table 45. Feedzai Recent Development Table 46. Resistant AI Company Information Table 47. Resistant AI Business Overview Table 48. Resistant AI AI Fraud Detection in Banking Revenue and Gross Margin (US$ Million) & (2021-2026) Table 49. Resistant AI AI Fraud Detection in Banking Product Portfolio Table 50. Resistant AI Recent Development Table 51. NetGuardians Company Information Table 52. NetGuardians Business Overview Table 53. NetGuardians AI Fraud Detection in Banking Revenue and Gross Margin (US$ Million) & (2021-2026) Table 54. NetGuardians AI Fraud Detection in Banking Product Portfolio Table 55. NetGuardians Recent Development Table 56. ADVANCE Company Information Table 57. ADVANCE Business Overview Table 58. ADVANCE AI Fraud Detection in Banking Revenue and Gross Margin (US$ Million) & (2021-2026) Table 59. ADVANCE AI Fraud Detection in Banking Product Portfolio Table 60. ADVANCE Recent Development Table 61. Sift Company Information Table 62. Sift Business Overview Table 63. Sift AI Fraud Detection in Banking Revenue and Gross Margin (US$ Million) & (2021-2026) Table 64. Sift AI Fraud Detection in Banking Product Portfolio Table 65. Sift Recent Development Table 66. Fraud.net Company Information Table 67. Fraud.net Business Overview Table 68. Fraud.net AI Fraud Detection in Banking Revenue and Gross Margin (US$ Million) & (2021-2026) Table 69. Fraud.net AI Fraud Detection in Banking Product Portfolio Table 70. Fraud.net Recent Development Table 71. SEON Company Information Table 72. SEON Business Overview Table 73. SEON AI Fraud Detection in Banking Revenue and Gross Margin (US$ Million) & (2021-2026) Table 74. SEON AI Fraud Detection in Banking Product Portfolio Table 75. SEON Recent Development Table 76. Sardine Company Information Table 77. Sardine Business Overview Table 78. Sardine AI Fraud Detection in Banking Revenue and Gross Margin (US$ Million) & (2021-2026) Table 79. Sardine AI Fraud Detection in Banking Product Portfolio Table 80. Sardine Recent Development Table 81. Mastercard Consumer Fraud Risk Company Information Table 82. Mastercard Consumer Fraud Risk Business Overview Table 83. Mastercard Consumer Fraud Risk AI Fraud Detection in Banking Revenue and Gross Margin (US$ Million) & (2021-2026) Table 84. Mastercard Consumer Fraud Risk AI Fraud Detection in Banking Product Portfolio Table 85. Mastercard Consumer Fraud Risk Recent Development Table 86. Cifas Company Information Table 87. Cifas Business Overview Table 88. Cifas AI Fraud Detection in Banking Sales (k units), Revenue (US$ Million), Price (USD/unit) and Gross Margin (2021-2026) Table 89. Cifas AI Fraud Detection in Banking Product Portfolio Table 90. Cifas Recent Development Table 91. GFT Company Information Table 92. GFT Business Overview Table 93. GFT AI Fraud Detection in Banking Sales (k units), Revenue (US$ Million), Price (USD/unit) and Gross Margin (2021-2026) Table 94. GFT AI Fraud Detection in Banking Product Portfolio Table 95. GFT Recent Development Table 96. Hawk Company Information Table 97. Hawk Business Overview Table 98. Hawk AI Fraud Detection in Banking Sales (k units), Revenue (US$ Million), Price (USD/unit) and Gross Margin (2021-2026) Table 99. Hawk AI Fraud Detection in Banking Product Portfolio Table 100. Hawk Recent Development Table 101. SymphonyAI Company Information Table 102. SymphonyAI Business Overview Table 103. SymphonyAI AI Fraud Detection in Banking Sales (k units), Revenue (US$ Million), Price (USD/unit) and Gross Margin (2021-2026) Table 104. SymphonyAI AI Fraud Detection in Banking Product Portfolio Table 105. SymphonyAI Recent Development Table 106. SB Payment Service Company Information Table 107. SB Payment Service Business Overview Table 108. SB Payment Service AI Fraud Detection in Banking Sales (k units), Revenue (US$ Million), Price (USD/unit) and Gross Margin (2021-2026) Table 109. SB Payment Service AI Fraud Detection in Banking Product Portfolio Table 110. SB Payment Service Recent Development Table 111. KPMG Company Information Table 112. KPMG Business Overview Table 113. KPMG AI Fraud Detection in Banking Sales (k units), Revenue (US$ Million), Price (USD/unit) and Gross Margin (2021-2026) Table 114. KPMG AI Fraud Detection in Banking Product Portfolio Table 115. KPMG Recent Development Table 116. NICE Actimize Company Information Table 117. NICE Actimize Business Overview Table 118. NICE Actimize AI Fraud Detection in Banking Sales (k units), Revenue (US$ Million), Price (USD/unit) and Gross Margin (2021-2026) Table 119. NICE Actimize AI Fraud Detection in Banking Product Portfolio Table 120. NICE Actimize Recent Development Table 121. DataVisor Company Information Table 122. DataVisor Business Overview Table 123. DataVisor AI Fraud Detection in Banking Sales (k units), Revenue (US$ Million), Price (USD/unit) and Gross Margin (2021-2026) Table 124. DataVisor AI Fraud Detection in Banking Product Portfolio Table 125. DataVisor Recent Development Table 126. 4Paradigm Company Information Table 127. 4Paradigm Business Overview Table 128. 4Paradigm AI Fraud Detection in Banking Sales (k units), Revenue (US$ Million), Price (USD/unit) and Gross Margin (2021-2026) Table 129. 4Paradigm AI Fraud Detection in Banking Product Portfolio Table 130. 4Paradigm Recent Development Table 131. Shanghai Shengteng Data Technology Company Information Table 132. Shanghai Shengteng Data Technology Business Overview Table 133. Shanghai Shengteng Data Technology AI Fraud Detection in Banking Sales (k units), Revenue (US$ Million), Price (USD/unit) and Gross Margin (2021-2026) Table 134. Shanghai Shengteng Data Technology AI Fraud Detection in Banking Product Portfolio Table 135. Shanghai Shengteng Data Technology Recent Development Table 136. Iflytek Company Information Table 137. Iflytek Business Overview Table 138. Iflytek AI Fraud Detection in Banking Sales (k units), Revenue (US$ Million), Price (USD/unit) and Gross Margin (2021-2026) Table 139. Iflytek AI Fraud Detection in Banking Product Portfolio Table 140. Iflytek Recent Development Table 141. North America AI Fraud Detection in Banking Revenue by Type (2021-2026) & (US$ Million) Table 142. North America AI Fraud Detection in Banking Revenue by Type (2027-2032) & (US$ Million) Table 143. North America AI Fraud Detection in Banking Revenue by Application (2021-2026) & (US$ Million) Table 144. North America AI Fraud Detection in Banking Revenue by Application (2027-2032) & (US$ Million) Table 145. North America AI Fraud Detection in Banking Revenue by Country (2021 VS 2025 VS 2032) & (US$ Million) Table 146. North America AI Fraud Detection in Banking Revenue by Country (2021-2026) & (US$ Million) Table 147. North America AI Fraud Detection in Banking Revenue by Country (US$ Million) & (2027-2032) Table 148. Europe AI Fraud Detection in Banking Revenue by Type (2021-2026) & (US$ Million) Table 149. Europe AI Fraud Detection in Banking Revenue by Type (2027-2032) & (US$ Million) Table 150. Europe AI Fraud Detection in Banking Revenue by Application (2021-2026) & (US$ Million) Table 151. Europe AI Fraud Detection in Banking Revenue by Application (2027-2032) & (US$ Million) Table 152. Europe AI Fraud Detection in Banking Revenue by Country (2021 VS 2025 VS 2032) & (US$ Million) Table 153. Europe AI Fraud Detection in Banking Revenue by Country (2021-2026) & (US$ Million) Table 154. Europe AI Fraud Detection in Banking Revenue by Country (US$ Million) & (2027-2032) Table 155. China AI Fraud Detection in Banking Revenue by Type (2021-2026) & (US$ Million) Table 156. China AI Fraud Detection in Banking Revenue by Type (2027-2032) & (US$ Million) Table 157. China AI Fraud Detection in Banking Revenue by Application (2021-2026) & (US$ Million) Table 158. China AI Fraud Detection in Banking Revenue by Application (2027-2032) & (US$ Million) Table 159. Asia AI Fraud Detection in Banking Revenue by Type (2021-2026) & (US$ Million) Table 160. Asia AI Fraud Detection in Banking Revenue by Type (2027-2032) & (US$ Million) Table 161. Asia AI Fraud Detection in Banking Revenue by Application (2021-2026) & (US$ Million) Table 162. Asia AI Fraud Detection in Banking Revenue by Application (2027-2032) & (US$ Million) Table 163. Asia AI Fraud Detection in Banking Revenue by Region (2021 VS 2025 VS 2032) & (US$ Million) Table 164. Asia AI Fraud Detection in Banking Revenue by Region (US$ Million) & (2021-2026) Table 165. Asia AI Fraud Detection in Banking Revenue by Region (US$ Million) & (2027-2032) Table 166. SAMEA AI Fraud Detection in Banking Revenue by Type (2021-2026) & (US$ Million) Table 167. SAMEA AI Fraud Detection in Banking Revenue by Type (2027-2032) & (US$ Million) Table 168. SAMEA AI Fraud Detection in Banking Revenue by Application (2021-2026) & (US$ Million) Table 169. SAMEA AI Fraud Detection in Banking Revenue by Application (2027-2032) & (US$ Million) Table 170. SAMEA AI Fraud Detection in Banking Revenue by Country (2021 VS 2025 VS 2032) & (US$ Million) Table 171. SAMEA AI Fraud Detection in Banking Revenue by Country (2021-2026) & (US$ Million) Table 172. SAMEA AI Fraud Detection in Banking Revenue by Country (US$ Million) & (2027-2032) Table 173. Research Programs/Design for This Report Table 174. Authors List of This Report Table 175. Secondary Sources Table 176. Primary Sources List of Figures Figure 1. AI Fraud Detection in Banking Image Figure 2. Global AI Fraud Detection in Banking Market Size Growth Rate by Type (US$ Million), 2021 VS 2025 VS 2032 Figure 3. Global AI Fraud Detection in Banking Market Size Share 2021 VS 2025 VS 2032 Figure 4. Supervised Learning-based Fraud Detection Image Figure 5. Unsupervised Learning-based Fraud Detection Image Figure 6. Global AI Fraud Detection in Banking Market Size Growth Rate by Application (US$ Million), 2021 VS 2025 VS 2032 Figure 7. Global AI Fraud Detection in Banking Market Size Share 2021 VS 2025 VS 2032 Figure 8. Real-Time Transaction Monitoring Image Figure 9. Credit Card & Payment Fraud Prevention Image Figure 10. Identity Verification & Biometric Authentication Image Figure 11. Others Image Figure 12. Global AI Fraud Detection in Banking Market Size (US$ Million) & (2021-2032) Figure 13. Global AI Fraud Detection in Banking Market Size, (US$ Million), 2021 VS 2025 VS 2032 Figure 14. Global AI Fraud Detection in Banking Market Share by Region: 2021 VS 2025 VS 2032 Figure 15. Global AI Fraud Detection in Banking Players Revenue Share Top 10 and Top 5 in 2025 Figure 16. Players Type (Tier 1, Tier 2, and Tier 3): 2021 VS 2025 Figure 17. Global AI Fraud Detection in Banking Revenue by Type (2021 VS 2025 VS 2032) & (US$ Million) Figure 18. Global AI Fraud Detection in Banking Revenue Market Share 2021 VS 2025 VS 2032 Figure 19. Global AI Fraud Detection in Banking Revenue Market Share by Type (2021-2032) Figure 20. Global AI Fraud Detection in Banking Revenue by Application (2021 VS 2025 VS 2032) & (US$ Million) Figure 21. Global AI Fraud Detection in Banking Revenue Market Share by Application (2021 VS 2025 VS 2032) Figure 22. Global AI Fraud Detection in Banking Revenue Market Share by Application (2021-2032) Figure 23. North America AI Fraud Detection in Banking Revenue YoY Growth (2021-2032) & (US$ Million) Figure 24. North America AI Fraud Detection in Banking Revenue Share by Type (2021-2032) Figure 25. North America AI Fraud Detection in Banking Revenue Share by Application (2021-2032) Figure 26. North America AI Fraud Detection in Banking Revenue Share by Country (2021-2032) Figure 27. United States AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 28. Canada AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 29. Mexico AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 30. Europe AI Fraud Detection in Banking Revenue YoY Growth (2021-2032) & (US$ Million) Figure 31. Europe AI Fraud Detection in Banking Revenue Share by Type (2021-2032) Figure 32. Europe AI Fraud Detection in Banking Revenue Share by Application (2021-2032) Figure 33. Europe AI Fraud Detection in Banking Revenue Share by Country (2021-2032) Figure 34. Germany AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 35. France AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 36. U.K. AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 37. Italy AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 38. Spain AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 39. Russia AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 40. Netherlands AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 41. Nordic Countries AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 42. China AI Fraud Detection in Banking Revenue YoY Growth (2021-2032) & (US$ Million) Figure 43. China AI Fraud Detection in Banking Revenue Share by Type (2021-2032) Figure 44. China AI Fraud Detection in Banking Revenue Share by Application (2021-2032) Figure 45. Asia AI Fraud Detection in Banking Revenue YoY Growth (2021-2032) & (US$ Million) Figure 46. Asia AI Fraud Detection in Banking Revenue Share by Type (2021-2032) Figure 47. Asia AI Fraud Detection in Banking Revenue Share by Application (2021-2032) Figure 48. Asia AI Fraud Detection in Banking Revenue Share by Region (2021-2032) Figure 49. Japan AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 50. South Korea AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 51. India AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 52. Australia AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 53. Taiwan AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 54. Southeast Asia AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 55. SAMEA AI Fraud Detection in Banking Revenue YoY Growth (2021-2032) & (US$ Million) Figure 56. SAMEA AI Fraud Detection in Banking Revenue Share by Type (2021-2032) Figure 57. SAMEA AI Fraud Detection in Banking Revenue Share by Application (2021-2032) Figure 58. SAMEA AI Fraud Detection in Banking Revenue Share by Country (2021-2032) Figure 59. Brazil AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 60. Argentina AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 61. Chile AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 62. Colombia AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 63. Peru AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 64. Saudi Arabia AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 65. Israel AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 66. UAE AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 67. Turkey AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 68. Iran AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 69. Egypt AI Fraud Detection in Banking Revenue YoY Growth (US$ Million) & (2021-2032) Figure 70. Years Considered Figure 71. Research Process Figure 72. Key Executives Interviewed

Scope & coverage.

Types
  • Supervised Learning-based Fraud Detection
  • Unsupervised Learning-based Fraud Detection
Applications
  • Real-Time Transaction Monitoring
  • Credit Card & Payment Fraud Prevention
  • Identity Verification & Biometric Authentication
  • Others
Companies covered
  • Eastnets
  • Feedzai
  • Resistant AI
  • NetGuardians
  • ADVANCE
  • Sift
  • Fraud.net
  • SEON
  • Sardine
  • Mastercard Consumer Fraud Risk
  • Cifas
  • GFT
  • Hawk
  • SymphonyAI
  • SB Payment Service
  • KPMG
  • NICE Actimize
  • DataVisor
  • 4Paradigm
  • Shanghai Shengteng Data Technology
  • Iflytek

Inside the report.

1 Market Overview
  1. 1.1 Product Definition
  2. 1.2 AI Fraud Detection in Banking Market by Type
  3. 1.2.1 Global AI Fraud Detection in Banking Market Size by Type, 2021 VS 2025 VS 2032
  4. 1.2.2 Supervised Learning-based Fraud Detection
  5. 1.2.3 Unsupervised Learning-based Fraud Detection
  6. 1.3 AI Fraud Detection in Banking Market by Application
  7. 1.3.1 Global AI Fraud Detection in Banking Market Size by Application, 2021 VS 2025 VS 2032
  8. 1.3.2 Real-Time Transaction Monitoring
  9. 1.3.3 Credit Card & Payment Fraud Prevention
  10. 1.3.4 Identity Verification & Biometric Authentication
  11. 1.3.5 Others
  12. 1.4 Assumptions and Limitations
  13. 1.5 Study Goals and Objectives
2 AI Fraud Detection in Banking Market Dynamics
  1. 2.1 AI Fraud Detection in Banking Industry Trends
  2. 2.2 AI Fraud Detection in Banking Industry Drivers
  3. 2.3 AI Fraud Detection in Banking Industry Opportunities and Challenges
  4. 2.4 AI Fraud Detection in Banking Industry Restraints
3 Global Growth Perspective
  1. 3.1 Global AI Fraud Detection in Banking Market Perspective (2021-2032)
  2. 3.2 Global AI Fraud Detection in Banking Growth Trends by Region
  3. 3.2.1 Global AI Fraud Detection in Banking Market Size by Region: 2021 VS 2025 VS 2032
  4. 3.2.2 Global AI Fraud Detection in Banking Market Size by Region (2021-2026)
  5. 3.2.3 Global AI Fraud Detection in Banking Market Size by Region (2027-2032)
4 Competitive Landscape by Players
  1. 4.1 Global AI Fraud Detection in Banking Revenue by Players
  2. 4.1.1 Global AI Fraud Detection in Banking Revenue by Players (2021-2026)
  3. 4.1.2 Global AI Fraud Detection in Banking Revenue Market Share by Players (2021-2026)
  4. 4.1.3 Global AI Fraud Detection in Banking Players Revenue Share Top 10 and Top 5 in 2025
  5. 4.2 Global AI Fraud Detection in Banking Key Players Ranking, 2024 VS 2025 VS 2026
  6. 4.3 Global AI Fraud Detection in Banking Key Players Headquarters & Area Served
  7. 4.4 Global AI Fraud Detection in Banking Players, Product Type & Application
  8. 4.5 Global AI Fraud Detection in Banking Players Establishment Date
  9. 4.6 Market Competitive Analysis
  10. 4.6.1 Global AI Fraud Detection in Banking Market CR5 and HHI
  11. 4.6.3 2025 AI Fraud Detection in Banking Tier 1, Tier 2, and Tier 3
5 AI Fraud Detection in Banking Market Size by Type
  1. 5.1 Global AI Fraud Detection in Banking Revenue by Type (2021 VS 2025 VS 2032)
  2. 5.2 Global AI Fraud Detection in Banking Revenue by Type (2021-2032)
  3. 5.3 Global AI Fraud Detection in Banking Revenue Market Share by Type (2021-2032)
6 AI Fraud Detection in Banking Market Size by Application
  1. 6.1 Global AI Fraud Detection in Banking Revenue by Application (2021 VS 2025 VS 2032)
  2. 6.2 Global AI Fraud Detection in Banking Revenue by Application (2021-2032)
  3. 6.3 Global AI Fraud Detection in Banking Revenue Market Share by Application (2021-2032)
7 Company Profiles
  1. 7.1 Eastnets
  2. 7.1.1 Eastnets Company Information
  3. 7.1.2 Eastnets Business Overview
  4. 7.1.3 Eastnets AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  5. 7.1.4 Eastnets AI Fraud Detection in Banking Product Portfolio
  6. 7.1.5 Eastnets Recent Developments
  7. 7.2 Feedzai
  8. 7.2.1 Feedzai Company Information
  9. 7.2.2 Feedzai Business Overview
  10. 7.2.3 Feedzai AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  11. 7.2.4 Feedzai AI Fraud Detection in Banking Product Portfolio
  12. 7.2.5 Feedzai Recent Developments
  13. 7.3 Resistant AI
  14. 7.3.1 Resistant AI Company Information
  15. 7.3.2 Resistant AI Business Overview
  16. 7.3.3 Resistant AI AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  17. 7.3.4 Resistant AI AI Fraud Detection in Banking Product Portfolio
  18. 7.3.5 Resistant AI Recent Developments
  19. 7.4 NetGuardians
  20. 7.4.1 NetGuardians Company Information
  21. 7.4.2 NetGuardians Business Overview
  22. 7.4.3 NetGuardians AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  23. 7.4.4 NetGuardians AI Fraud Detection in Banking Product Portfolio
  24. 7.4.5 NetGuardians Recent Developments
  25. 7.5 ADVANCE
  26. 7.5.1 ADVANCE Company Information
  27. 7.5.2 ADVANCE Business Overview
  28. 7.5.3 ADVANCE AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  29. 7.5.4 ADVANCE AI Fraud Detection in Banking Product Portfolio
  30. 7.5.5 ADVANCE Recent Developments
  31. 7.6 Sift
  32. 7.6.1 Sift Company Information
  33. 7.6.2 Sift Business Overview
  34. 7.6.3 Sift AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  35. 7.6.4 Sift AI Fraud Detection in Banking Product Portfolio
  36. 7.6.5 Sift Recent Developments
  37. 7.7 Fraud.net
  38. 7.7.1 Fraud.net Company Information
  39. 7.7.2 Fraud.net Business Overview
  40. 7.7.3 Fraud.net AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  41. 7.7.4 Fraud.net AI Fraud Detection in Banking Product Portfolio
  42. 7.7.5 Fraud.net Recent Developments
  43. 7.8 SEON
  44. 7.8.1 SEON Company Information
  45. 7.8.2 SEON Business Overview
  46. 7.8.3 SEON AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  47. 7.8.4 SEON AI Fraud Detection in Banking Product Portfolio
  48. 7.8.5 SEON Recent Developments
  49. 7.9 Sardine
  50. 7.9.1 Sardine Company Information
  51. 7.9.2 Sardine Business Overview
  52. 7.9.3 Sardine AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  53. 7.9.4 Sardine AI Fraud Detection in Banking Product Portfolio
  54. 7.9.5 Sardine Recent Developments
  55. 7.10 Mastercard Consumer Fraud Risk
  56. 7.10.1 Mastercard Consumer Fraud Risk Company Information
  57. 7.10.2 Mastercard Consumer Fraud Risk Business Overview
  58. 7.10.3 Mastercard Consumer Fraud Risk AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  59. 7.10.4 Mastercard Consumer Fraud Risk AI Fraud Detection in Banking Product Portfolio
  60. 7.10.5 Mastercard Consumer Fraud Risk Recent Developments
  61. 7.11 Cifas
  62. 7.11.1 Cifas Company Information
  63. 7.11.2 Cifas Business Overview
  64. 7.11.3 Cifas AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  65. 7.11.4 Cifas AI Fraud Detection in Banking Product Portfolio
  66. 7.11.5 Cifas Recent Developments
  67. 7.12 GFT
  68. 7.12.1 GFT Company Information
  69. 7.12.2 GFT Business Overview
  70. 7.12.3 GFT AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  71. 7.12.4 GFT AI Fraud Detection in Banking Product Portfolio
  72. 7.12.5 GFT Recent Developments
  73. 7.13 Hawk
  74. 7.13.1 Hawk Company Information
  75. 7.13.2 Hawk Business Overview
  76. 7.13.3 Hawk AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  77. 7.13.4 Hawk AI Fraud Detection in Banking Product Portfolio
  78. 7.13.5 Hawk Recent Developments
  79. 7.14 SymphonyAI
  80. 7.14.1 SymphonyAI Company Information
  81. 7.14.2 SymphonyAI Business Overview
  82. 7.14.3 SymphonyAI AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  83. 7.14.4 SymphonyAI AI Fraud Detection in Banking Product Portfolio
  84. 7.14.5 SymphonyAI Recent Developments
  85. 7.15 SB Payment Service
  86. 7.15.1 SB Payment Service Company Information
  87. 7.15.2 SB Payment Service Business Overview
  88. 7.15.3 SB Payment Service AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  89. 7.15.4 SB Payment Service AI Fraud Detection in Banking Product Portfolio
  90. 7.15.5 SB Payment Service Recent Developments
  91. 7.16 KPMG
  92. 7.16.1 KPMG Company Information
  93. 7.16.2 KPMG Business Overview
  94. 7.16.3 KPMG AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  95. 7.16.4 KPMG AI Fraud Detection in Banking Product Portfolio
  96. 7.16.5 KPMG Recent Developments
  97. 7.17 NICE Actimize
  98. 7.17.1 NICE Actimize Company Information
  99. 7.17.2 NICE Actimize Business Overview
  100. 7.17.3 NICE Actimize AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  101. 7.17.4 NICE Actimize AI Fraud Detection in Banking Product Portfolio
  102. 7.17.5 NICE Actimize Recent Developments
  103. 7.18 DataVisor
  104. 7.18.1 DataVisor Company Information
  105. 7.18.2 DataVisor Business Overview
  106. 7.18.3 DataVisor AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  107. 7.18.4 DataVisor AI Fraud Detection in Banking Product Portfolio
  108. 7.18.5 DataVisor Recent Developments
  109. 7.19 4Paradigm
  110. 7.19.1 4Paradigm Company Information
  111. 7.19.2 4Paradigm Business Overview
  112. 7.19.3 4Paradigm AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  113. 7.19.4 4Paradigm AI Fraud Detection in Banking Product Portfolio
  114. 7.19.5 4Paradigm Recent Developments
  115. 7.20 Shanghai Shengteng Data Technology
  116. 7.20.1 Shanghai Shengteng Data Technology Company Information
  117. 7.20.2 Shanghai Shengteng Data Technology Business Overview
  118. 7.20.3 Shanghai Shengteng Data Technology AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  119. 7.20.4 Shanghai Shengteng Data Technology AI Fraud Detection in Banking Product Portfolio
  120. 7.20.5 Shanghai Shengteng Data Technology Recent Developments
  121. 7.21 Iflytek
  122. 7.21.1 Iflytek Company Information
  123. 7.21.2 Iflytek Business Overview
  124. 7.21.3 Iflytek AI Fraud Detection in Banking Revenue and Gross Margin (2021-2026)
  125. 7.21.4 Iflytek AI Fraud Detection in Banking Product Portfolio
  126. 7.21.5 Iflytek Recent Developments
8 North America
  1. 8.1 North America AI Fraud Detection in Banking Revenue (2021-2032)
  2. 8.2 North America AI Fraud Detection in Banking Revenue by Type (2021-2032)
  3. 8.2.1 North America AI Fraud Detection in Banking Revenue by Type (2021-2026)
  4. 8.2.2 North America AI Fraud Detection in Banking Revenue by Type (2027-2032)
  5. 8.3 North America AI Fraud Detection in Banking Revenue Share by Type (2021-2032)
  6. 8.4 North America AI Fraud Detection in Banking Revenue by Application (2021-2032)
  7. 8.4.1 North America AI Fraud Detection in Banking Revenue by Application (2021-2026)
  8. 8.4.2 North America AI Fraud Detection in Banking Revenue by Application (2027-2032)
  9. 8.5 North America AI Fraud Detection in Banking Revenue Share by Application (2021-2032)
  10. 8.6 North America AI Fraud Detection in Banking Revenue by Country
  11. 8.6.1 North America AI Fraud Detection in Banking Revenue by Country (2021 VS 2025 VS 2032)
  12. 8.6.2 North America AI Fraud Detection in Banking Revenue by Country (2021-2026)
  13. 8.6.3 North America AI Fraud Detection in Banking 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 in Banking Revenue (2021-2032)
  2. 9.2 Europe AI Fraud Detection in Banking Revenue by Type (2021-2032)
  3. 9.2.1 Europe AI Fraud Detection in Banking Revenue by Type (2021-2026)
  4. 9.2.2 Europe AI Fraud Detection in Banking Revenue by Type (2027-2032)
  5. 9.3 Europe AI Fraud Detection in Banking Revenue Share by Type (2021-2032)
  6. 9.4 Europe AI Fraud Detection in Banking Revenue by Application (2021-2032)
  7. 9.4.1 Europe AI Fraud Detection in Banking Revenue by Application (2021-2026)
  8. 9.4.2 Europe AI Fraud Detection in Banking Revenue by Application (2027-2032)
  9. 9.5 Europe AI Fraud Detection in Banking Revenue Share by Application (2021-2032)
  10. 9.6 Europe AI Fraud Detection in Banking Revenue by Country
  11. 9.6.1 Europe AI Fraud Detection in Banking Revenue by Country (2021 VS 2025 VS 2032)
  12. 9.6.2 Europe AI Fraud Detection in Banking Revenue by Country (2021-2026)
  13. 9.6.3 Europe AI Fraud Detection in Banking 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 in Banking Revenue (2021-2032)
  2. 10.2 China AI Fraud Detection in Banking Revenue by Type (2021-2032)
  3. 10.2.1 China AI Fraud Detection in Banking Revenue by Type (2021-2026)
  4. 10.2.2 China AI Fraud Detection in Banking Revenue by Type (2027-2032)
  5. 10.3 China AI Fraud Detection in Banking Revenue Share by Type (2021-2032)
  6. 10.4 China AI Fraud Detection in Banking Revenue by Application (2021-2032)
  7. 10.4.1 China AI Fraud Detection in Banking Revenue by Application (2021-2026)
  8. 10.4.2 China AI Fraud Detection in Banking Revenue by Application (2027-2032)
  9. 10.5 China AI Fraud Detection in Banking Revenue Share by Application (2021-2032)
11 Asia (Excluding China)
  1. 11.1 Asia AI Fraud Detection in Banking Revenue (2021-2032)
  2. 11.2 Asia AI Fraud Detection in Banking Revenue by Type (2021-2032)
  3. 11.2.1 Asia AI Fraud Detection in Banking Revenue by Type (2021-2026)
  4. 11.2.2 Asia AI Fraud Detection in Banking Revenue by Type (2027-2032)
  5. 11.3 Asia AI Fraud Detection in Banking Revenue Share by Type (2021-2032)
  6. 11.4 Asia AI Fraud Detection in Banking Revenue by Application (2021-2032)
  7. 11.4.1 Asia AI Fraud Detection in Banking Revenue by Application (2021-2026)
  8. 11.4.2 Asia AI Fraud Detection in Banking Revenue by Application (2027-2032)
  9. 11.5 Asia AI Fraud Detection in Banking Revenue Share by Application (2021-2032)
  10. 11.6 Asia AI Fraud Detection in Banking Revenue by Country
  11. 11.6.1 Asia AI Fraud Detection in Banking Revenue by Country (2021 VS 2025 VS 2032)
  12. 11.6.2 Asia AI Fraud Detection in Banking Revenue by Country (2021-2026)
  13. 11.6.3 Asia AI Fraud Detection in Banking 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 in Banking Revenue (2021-2032)
  2. 12.2 SAMEA AI Fraud Detection in Banking Revenue by Type (2021-2032)
  3. 12.2.1 SAMEA AI Fraud Detection in Banking Revenue by Type (2021-2026)
  4. 12.2.2 SAMEA AI Fraud Detection in Banking Revenue by Type (2027-2032)
  5. 12.3 SAMEA AI Fraud Detection in Banking Revenue Share by Type (2021-2032)
  6. 12.4 SAMEA AI Fraud Detection in Banking Revenue by Application (2021-2032)
  7. 12.4.1 SAMEA AI Fraud Detection in Banking Revenue by Application (2021-2026)
  8. 12.4.2 SAMEA AI Fraud Detection in Banking Revenue by Application (2027-2032)
  9. 12.5 SAMEA AI Fraud Detection in Banking Revenue Share by Application (2021-2032)
  10. 12.6 SAMEA AI Fraud Detection in Banking Revenue by Country
  11. 12.6.1 SAMEA AI Fraud Detection in Banking Revenue by Country (2021 VS 2025 VS 2032)
  12. 12.6.2 SAMEA AI Fraud Detection in Banking Revenue by Country (2021-2026)
  13. 12.6.3 SAMEA AI Fraud Detection in Banking 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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