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Service & Software Global AI Fraud Detection Software Market 2026 by Company, Regions, Type and Application, Forecast to 2032

  • RnM4709007
    • |
  • 17 June, 2026
    • |
  • Global
    • |
  • 103 Pages
    • |
  • GIR
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  • Service & Software

According to our (Global Info Research) latest study, the global AI Fraud Detection Software market size was valued at US$ 99 million in 2025 and is forecast to a readjusted size of US$ 161 million by 2032 with a CAGR of 7.2% during review period.
AI Fraud Detection Software is an intelligent system that leverages machine learning and behavioral analytics to automatically identify anomalous patterns and flag potential fraudulent activities within massive datasets of transactions, accounts, or interactions. Its core capabilities encompass real-time feature computation, unsupervised anomaly clustering, supervised classification modeling, and knowledge graph-based relational analysis, enabling it to uncover covert attacks—such as identity spoofing, account hijacking, fraudulent transactions, and money laundering—that are difficult for traditional rule engines to detect. By continuously learning from new fraud samples, the software dynamically updates its detection strategies to counter ever-evolving attack methodologies. Widely deployed across sectors such as banking and payments, e-commerce risk management, insurance claims processing, and enterprise identity verification, it serves as a critical tool for establishing proactive defense frameworks and mitigating both business losses and compliance risks.
The global market for AI fraud detection software is characterized by a landscape in which North America leads in technology and application, Europe prioritizes privacy compliance, and the Asia-Pacific region is rapidly catching up. Driven by a mature fintech ecosystem and the widespread adoption of online payments, North America holds a leading position in real-time transaction risk management and the application of deep learning models. Under the framework of the GDPR, Europe places greater emphasis on explainable AI and federated learning, thereby balancing privacy protection with detection efficacy. The Asia-Pacific region—particularly China and Southeast Asia—has emerged as the fastest-growing market, benefiting from the explosive growth of mobile payments and e-commerce. Current market drivers include novel fraud schemes catalyzed by generative AI and increasingly stringent global regulatory environments; however, the sector still faces three major obstacles: user complaints stemming from "false positives" caused by insufficient model explainability, difficulties in integrating heterogeneous data sources, and model drift resulting from the adversarial evolution of fraud techniques. Future trends are converging toward multi-modal fraud detection, real-time graph computing, and cross-institutional collaboration via federated learning.
This report is a detailed and comprehensive analysis for global AI Fraud Detection Software market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global AI Fraud Detection Software market size and forecasts, in consumption value ($ Million), 2021-2032
Global AI Fraud Detection Software market size and forecasts by region and country, in consumption value ($ Million), 2021-2032
Global AI Fraud Detection Software market size and forecasts, by Type and by Application, in consumption value ($ Million), 2021-2032
Global AI Fraud Detection Software market shares of main players, in revenue ($ Million), 2021-2026
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI Fraud Detection Software
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI Fraud Detection Software market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Feedzai, Kount, Sardine, SEON, Sift, Riskified, Fraudio, Pindrop Security, Mitek, ComplyAdvantage, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI Fraud Detection Software market is split by Type and by Application. For the period 2021-2032, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Supervised Learning-based
Unsupervised Learning-based
Graph Neural Network-based
Others
Market segment by Business
Payment Fraud Detection
Account Takeover Detection
Identity Spoofing Detection
Application Fraud Detection
Insider Threat Detection
Market segment by Data Processing
Real-time Detection
Offline Detection
Market segment by Application
Banking & Payments
Insurtech
E-commerce & Retail
Telecommunications
Government Services
Others
Market segment by players, this report covers
Feedzai
Kount
Sardine
SEON
Sift
Riskified
Fraudio
Pindrop Security
Mitek
ComplyAdvantage
SymphonyAI
Accertify
IBM
Entrust
Tongdun Technology
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI Fraud Detection Software product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI Fraud Detection Software, with revenue, gross margin, and global market share of AI Fraud Detection Software from 2021 to 2026.
Chapter 3, the AI Fraud Detection Software competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2021 to 2032.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2021 to 2026.and AI Fraud Detection Software market forecast, by regions, by Type and by Application, with consumption value, from 2027 to 2032.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI Fraud Detection Software.
Chapter 13, to describe AI Fraud Detection Software research findings and conclusion.


1 Market Overview

  • 1.1 Product Overview and Scope
  • 1.2 Market Estimation Caveats and Base Year
  • 1.3 Classification of AI Fraud Detection Software by Type
    • 1.3.1 Overview: Global AI Fraud Detection Software Market Size by Type: 2021 Versus 2025 Versus 2032
    • 1.3.2 Global AI Fraud Detection Software Consumption Value Market Share by Type in 2025
    • 1.3.3 Supervised Learning-based
    • 1.3.4 Unsupervised Learning-based
    • 1.3.5 Graph Neural Network-based
    • 1.3.6 Others
  • 1.4 Classification of AI Fraud Detection Software by Business
    • 1.4.1 Overview: Global AI Fraud Detection Software Market Size by Business: 2021 Versus 2025 Versus 2032
    • 1.4.2 Global AI Fraud Detection Software Consumption Value Market Share by Business in 2025
    • 1.4.3 Payment Fraud Detection
    • 1.4.4 Account Takeover Detection
    • 1.4.5 Identity Spoofing Detection
    • 1.4.6 Application Fraud Detection
    • 1.4.7 Insider Threat Detection
  • 1.5 Classification of AI Fraud Detection Software by Data Processing
    • 1.5.1 Overview: Global AI Fraud Detection Software Market Size by Data Processing: 2021 Versus 2025 Versus 2032
    • 1.5.2 Global AI Fraud Detection Software Consumption Value Market Share by Data Processing in 2025
    • 1.5.3 Real-time Detection
    • 1.5.4 Offline Detection
  • 1.6 Global AI Fraud Detection Software Market by Application
    • 1.6.1 Overview: Global AI Fraud Detection Software Market Size by Application: 2021 Versus 2025 Versus 2032
    • 1.6.2 Banking & Payments
    • 1.6.3 Insurtech
    • 1.6.4 E-commerce & Retail
    • 1.6.5 Telecommunications
    • 1.6.6 Government Services
    • 1.6.7 Others
  • 1.7 Global AI Fraud Detection Software Market Size & Forecast
  • 1.8 Global AI Fraud Detection Software Market Size and Forecast by Region
    • 1.8.1 Global AI Fraud Detection Software Market Size by Region: 2021 VS 2025 VS 2032
    • 1.8.2 Global AI Fraud Detection Software Market Size by Region, (2021-2032)
    • 1.8.3 North America AI Fraud Detection Software Market Size and Prospect (2021-2032)
    • 1.8.4 Europe AI Fraud Detection Software Market Size and Prospect (2021-2032)
    • 1.8.5 Asia-Pacific AI Fraud Detection Software Market Size and Prospect (2021-2032)
    • 1.8.6 South America AI Fraud Detection Software Market Size and Prospect (2021-2032)
    • 1.8.7 Middle East & Africa AI Fraud Detection Software Market Size and Prospect (2021-2032)

2 Company Profiles

  • 2.1 Feedzai
    • 2.1.1 Feedzai Details
    • 2.1.2 Feedzai Major Business
    • 2.1.3 Feedzai AI Fraud Detection Software Product and Solutions
    • 2.1.4 Feedzai AI Fraud Detection Software Revenue, Gross Margin and Market Share (2021-2026)
    • 2.1.5 Feedzai Recent Developments and Future Plans
  • 2.2 Kount
    • 2.2.1 Kount Details
    • 2.2.2 Kount Major Business
    • 2.2.3 Kount AI Fraud Detection Software Product and Solutions
    • 2.2.4 Kount AI Fraud Detection Software Revenue, Gross Margin and Market Share (2021-2026)
    • 2.2.5 Kount Recent Developments and Future Plans
  • 2.3 Sardine
    • 2.3.1 Sardine Details
    • 2.3.2 Sardine Major Business
    • 2.3.3 Sardine AI Fraud Detection Software Product and Solutions
    • 2.3.4 Sardine AI Fraud Detection Software Revenue, Gross Margin and Market Share (2021-2026)
    • 2.3.5 Sardine Recent Developments and Future Plans
  • 2.4 SEON
    • 2.4.1 SEON Details
    • 2.4.2 SEON Major Business
    • 2.4.3 SEON AI Fraud Detection Software Product and Solutions
    • 2.4.4 SEON AI Fraud Detection Software Revenue, Gross Margin and Market Share (2021-2026)
    • 2.4.5 SEON Recent Developments and Future Plans
  • 2.5 Sift
    • 2.5.1 Sift Details
    • 2.5.2 Sift Major Business
    • 2.5.3 Sift AI Fraud Detection Software Product and Solutions
    • 2.5.4 Sift AI Fraud Detection Software Revenue, Gross Margin and Market Share (2021-2026)
    • 2.5.5 Sift Recent Developments and Future Plans
  • 2.6 Riskified
    • 2.6.1 Riskified Details
    • 2.6.2 Riskified Major Business
    • 2.6.3 Riskified AI Fraud Detection Software Product and Solutions
    • 2.6.4 Riskified AI Fraud Detection Software Revenue, Gross Margin and Market Share (2021-2026)
    • 2.6.5 Riskified Recent Developments and Future Plans
  • 2.7 Fraudio
    • 2.7.1 Fraudio Details
    • 2.7.2 Fraudio Major Business
    • 2.7.3 Fraudio AI Fraud Detection Software Product and Solutions
    • 2.7.4 Fraudio AI Fraud Detection Software Revenue, Gross Margin and Market Share (2021-2026)
    • 2.7.5 Fraudio Recent Developments and Future Plans
  • 2.8 Pindrop Security
    • 2.8.1 Pindrop Security Details
    • 2.8.2 Pindrop Security Major Business
    • 2.8.3 Pindrop Security AI Fraud Detection Software Product and Solutions
    • 2.8.4 Pindrop Security AI Fraud Detection Software Revenue, Gross Margin and Market Share (2021-2026)
    • 2.8.5 Pindrop Security Recent Developments and Future Plans
  • 2.9 Mitek
    • 2.9.1 Mitek Details
    • 2.9.2 Mitek Major Business
    • 2.9.3 Mitek AI Fraud Detection Software Product and Solutions
    • 2.9.4 Mitek AI Fraud Detection Software Revenue, Gross Margin and Market Share (2021-2026)
    • 2.9.5 Mitek Recent Developments and Future Plans
  • 2.10 ComplyAdvantage
    • 2.10.1 ComplyAdvantage Details
    • 2.10.2 ComplyAdvantage Major Business
    • 2.10.3 ComplyAdvantage AI Fraud Detection Software Product and Solutions
    • 2.10.4 ComplyAdvantage AI Fraud Detection Software Revenue, Gross Margin and Market Share (2021-2026)
    • 2.10.5 ComplyAdvantage Recent Developments and Future Plans
  • 2.11 SymphonyAI
    • 2.11.1 SymphonyAI Details
    • 2.11.2 SymphonyAI Major Business
    • 2.11.3 SymphonyAI AI Fraud Detection Software Product and Solutions
    • 2.11.4 SymphonyAI AI Fraud Detection Software Revenue, Gross Margin and Market Share (2021-2026)
    • 2.11.5 SymphonyAI Recent Developments and Future Plans
  • 2.12 Accertify
    • 2.12.1 Accertify Details
    • 2.12.2 Accertify Major Business
    • 2.12.3 Accertify AI Fraud Detection Software Product and Solutions
    • 2.12.4 Accertify AI Fraud Detection Software Revenue, Gross Margin and Market Share (2021-2026)
    • 2.12.5 Accertify Recent Developments and Future Plans
  • 2.13 IBM
    • 2.13.1 IBM Details
    • 2.13.2 IBM Major Business
    • 2.13.3 IBM AI Fraud Detection Software Product and Solutions
    • 2.13.4 IBM AI Fraud Detection Software Revenue, Gross Margin and Market Share (2021-2026)
    • 2.13.5 IBM Recent Developments and Future Plans
  • 2.14 Entrust
    • 2.14.1 Entrust Details
    • 2.14.2 Entrust Major Business
    • 2.14.3 Entrust AI Fraud Detection Software Product and Solutions
    • 2.14.4 Entrust AI Fraud Detection Software Revenue, Gross Margin and Market Share (2021-2026)
    • 2.14.5 Entrust Recent Developments and Future Plans
  • 2.15 Tongdun Technology
    • 2.15.1 Tongdun Technology Details
    • 2.15.2 Tongdun Technology Major Business
    • 2.15.3 Tongdun Technology AI Fraud Detection Software Product and Solutions
    • 2.15.4 Tongdun Technology AI Fraud Detection Software Revenue, Gross Margin and Market Share (2021-2026)
    • 2.15.5 Tongdun Technology Recent Developments and Future Plans

3 Market Competition, by Players

  • 3.1 Global AI Fraud Detection Software Revenue and Share by Players (2021-2026)
  • 3.2 Market Share Analysis (2025)
    • 3.2.1 Market Share of AI Fraud Detection Software by Company Revenue
    • 3.2.2 Top 3 AI Fraud Detection Software Players Market Share in 2025
    • 3.2.3 Top 6 AI Fraud Detection Software Players Market Share in 2025
  • 3.3 AI Fraud Detection Software Market: Overall Company Footprint Analysis
    • 3.3.1 AI Fraud Detection Software Market: Region Footprint
    • 3.3.2 AI Fraud Detection Software Market: Company Product Type Footprint
    • 3.3.3 AI Fraud Detection Software Market: Company Product Application Footprint
  • 3.4 New Market Entrants and Barriers to Market Entry
  • 3.5 Mergers, Acquisition, Agreements, and Collaborations

4 Market Size Segment by Type

  • 4.1 Global AI Fraud Detection Software Consumption Value and Market Share by Type (2021-2026)
  • 4.2 Global AI Fraud Detection Software Market Forecast by Type (2027-2032)

5 Market Size Segment by Application

  • 5.1 Global AI Fraud Detection Software Consumption Value Market Share by Application (2021-2026)
  • 5.2 Global AI Fraud Detection Software Market Forecast by Application (2027-2032)

6 North America

  • 6.1 North America AI Fraud Detection Software Consumption Value by Type (2021-2032)
  • 6.2 North America AI Fraud Detection Software Market Size by Application (2021-2032)
  • 6.3 North America AI Fraud Detection Software Market Size by Country
    • 6.3.1 North America AI Fraud Detection Software Consumption Value by Country (2021-2032)
    • 6.3.2 United States AI Fraud Detection Software Market Size and Forecast (2021-2032)
    • 6.3.3 Canada AI Fraud Detection Software Market Size and Forecast (2021-2032)
    • 6.3.4 Mexico AI Fraud Detection Software Market Size and Forecast (2021-2032)

7 Europe

  • 7.1 Europe AI Fraud Detection Software Consumption Value by Type (2021-2032)
  • 7.2 Europe AI Fraud Detection Software Consumption Value by Application (2021-2032)
  • 7.3 Europe AI Fraud Detection Software Market Size by Country
    • 7.3.1 Europe AI Fraud Detection Software Consumption Value by Country (2021-2032)
    • 7.3.2 Germany AI Fraud Detection Software Market Size and Forecast (2021-2032)
    • 7.3.3 France AI Fraud Detection Software Market Size and Forecast (2021-2032)
    • 7.3.4 United Kingdom AI Fraud Detection Software Market Size and Forecast (2021-2032)
    • 7.3.5 Russia AI Fraud Detection Software Market Size and Forecast (2021-2032)
    • 7.3.6 Italy AI Fraud Detection Software Market Size and Forecast (2021-2032)

8 Asia-Pacific

  • 8.1 Asia-Pacific AI Fraud Detection Software Consumption Value by Type (2021-2032)
  • 8.2 Asia-Pacific AI Fraud Detection Software Consumption Value by Application (2021-2032)
  • 8.3 Asia-Pacific AI Fraud Detection Software Market Size by Region
    • 8.3.1 Asia-Pacific AI Fraud Detection Software Consumption Value by Region (2021-2032)
    • 8.3.2 China AI Fraud Detection Software Market Size and Forecast (2021-2032)
    • 8.3.3 Japan AI Fraud Detection Software Market Size and Forecast (2021-2032)
    • 8.3.4 South Korea AI Fraud Detection Software Market Size and Forecast (2021-2032)
    • 8.3.5 India AI Fraud Detection Software Market Size and Forecast (2021-2032)
    • 8.3.6 Southeast Asia AI Fraud Detection Software Market Size and Forecast (2021-2032)
    • 8.3.7 Australia AI Fraud Detection Software Market Size and Forecast (2021-2032)

9 South America

  • 9.1 South America AI Fraud Detection Software Consumption Value by Type (2021-2032)
  • 9.2 South America AI Fraud Detection Software Consumption Value by Application (2021-2032)
  • 9.3 South America AI Fraud Detection Software Market Size by Country
    • 9.3.1 South America AI Fraud Detection Software Consumption Value by Country (2021-2032)
    • 9.3.2 Brazil AI Fraud Detection Software Market Size and Forecast (2021-2032)
    • 9.3.3 Argentina AI Fraud Detection Software Market Size and Forecast (2021-2032)

10 Middle East & Africa

  • 10.1 Middle East & Africa AI Fraud Detection Software Consumption Value by Type (2021-2032)
  • 10.2 Middle East & Africa AI Fraud Detection Software Consumption Value by Application (2021-2032)
  • 10.3 Middle East & Africa AI Fraud Detection Software Market Size by Country
    • 10.3.1 Middle East & Africa AI Fraud Detection Software Consumption Value by Country (2021-2032)
    • 10.3.2 Turkey AI Fraud Detection Software Market Size and Forecast (2021-2032)
    • 10.3.3 Saudi Arabia AI Fraud Detection Software Market Size and Forecast (2021-2032)
    • 10.3.4 UAE AI Fraud Detection Software Market Size and Forecast (2021-2032)

11 Market Dynamics

  • 11.1 AI Fraud Detection Software Market Drivers
  • 11.2 AI Fraud Detection Software Market Restraints
  • 11.3 AI Fraud Detection Software Trends Analysis
  • 11.4 Porters Five Forces Analysis
    • 11.4.1 Threat of New Entrants
    • 11.4.2 Bargaining Power of Suppliers
    • 11.4.3 Bargaining Power of Buyers
    • 11.4.4 Threat of Substitutes
    • 11.4.5 Competitive Rivalry

12 Industry Chain Analysis

  • 12.1 AI Fraud Detection Software Industry Chain
  • 12.2 AI Fraud Detection Software Upstream Analysis
  • 12.3 AI Fraud Detection Software Midstream Analysis
  • 12.4 AI Fraud Detection Software Downstream Analysis

13 Research Findings and Conclusion

    14 Appendix

    • 14.1 Methodology
    • 14.2 Research Process and Data Source

    Summary:
    Get latest Market Research Reports on AI Fraud Detection Software. Industry analysis & Market Report on AI Fraud Detection Software is a syndicated market report, published as Global AI Fraud Detection Software Market 2026 by Company, Regions, Type and Application, Forecast to 2032. It is complete Research Study and Industry Analysis of AI Fraud Detection Software market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.

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