AI in Fraud Management Market Size, Share, and Trends 2024 to 2034

The global AI in fraud management market size is calculated at USD 14.72 billion in 2025 and is forecasted to reach around USD 65.35 billion by 2034, accelerating at a CAGR of 18.06% from 2025 to 2034. The North America AI in fraud management market size surpassed USD 4.22 billion in 2024 and is expanding at a CAGR of 18.10% during the forecast period. The market sizing and forecasts are revenue-based (USD Million/Billion), with 2024 as the base year.

  • Last Updated : January 2025
  • Report Code : 4584
  • Category : ICT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on AI in Fraud Management Market 

5.1. COVID-19 Landscape: AI in Fraud Management Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global AI in Fraud Management Market, By Solution

8.1. AI in Fraud Management Market, by Solution

8.1.1. AI-powered Fraud Prevention Software

8.1.1.1. Market Revenue and Forecast

8.1.2. Services

8.1.2.1. Market Revenue and Forecast

Chapter 9. Global AI in Fraud Management Market, By Application

9.1. AI in Fraud Management Market, by Application

9.1.1. Identity Theft Protection

9.1.1.1. Market Revenue and Forecast

9.1.2. Payment Fraud Prevention

9.1.2.1. Market Revenue and Forecast

9.1.3. Anti-Money Laundering

9.1.3.1. Market Revenue and Forecast

9.1.4. Others

9.1.4.1. Market Revenue and Forecast

Chapter 10. Global AI in Fraud Management Market, By Enterprises 

10.1. AI in Fraud Management Market, by Enterprises

10.1.1. Large Enterprises

10.1.1.1. Market Revenue and Forecast

10.1.2. Small and Medium Enterprises

10.1.2.1. Market Revenue and Forecast

Chapter 11. Global AI in Fraud Management Market, By Industry 

11.1. AI in Fraud Management Market, by Industry

11.1.1. BFSI

11.1.1.1. Market Revenue and Forecast

11.1.2. IT and Telecom

11.1.2.1. Market Revenue and Forecast

11.1.3. Healthcare

11.1.3.1. Market Revenue and Forecast

11.1.4. Government

11.1.4.1. Market Revenue and Forecast

11.1.5. Education

11.1.5.1. Market Revenue and Forecast

11.1.6. Retail and CPG

11.1.6.1. Market Revenue and Forecast

11.1.7. Media and Entertainment

11.1.57.1. Market Revenue and Forecast

11.1.8. Others

11.1.8.1. Market Revenue and Forecast

Chapter 12. Global AI in Fraud Management Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Solution

12.1.2. Market Revenue and Forecast, by Application

12.1.3. Market Revenue and Forecast, by Enterprises

12.1.4. Market Revenue and Forecast, by Industry

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Solution

12.1.5.2. Market Revenue and Forecast, by Application

12.1.5.3. Market Revenue and Forecast, by Enterprises

12.1.5.4. Market Revenue and Forecast, by Industry

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Solution

12.1.6.2. Market Revenue and Forecast, by Application

12.1.6.3. Market Revenue and Forecast, by Enterprises

12.1.6.4. Market Revenue and Forecast, by Industry

12.2. Europe

12.2.1. Market Revenue and Forecast, by Solution

12.2.2. Market Revenue and Forecast, by Application

12.2.3. Market Revenue and Forecast, by Enterprises

12.2.4. Market Revenue and Forecast, by Industry

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Solution

12.2.5.2. Market Revenue and Forecast, by Application

12.2.5.3. Market Revenue and Forecast, by Enterprises

12.2.5.4. Market Revenue and Forecast, by Industry

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Solution

12.2.6.2. Market Revenue and Forecast, by Application

12.2.6.3. Market Revenue and Forecast, by Enterprises

12.2.6.4. Market Revenue and Forecast, by Industry

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Solution

12.2.7.2. Market Revenue and Forecast, by Application

12.2.7.3. Market Revenue and Forecast, by Enterprises

12.2.7.4. Market Revenue and Forecast, by Industry

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Solution

12.2.8.2. Market Revenue and Forecast, by Application

12.2.8.3. Market Revenue and Forecast, by Enterprises

12.2.8.4. Market Revenue and Forecast, by Industry

12.3. APAC

12.3.1. Market Revenue and Forecast, by Solution

12.3.2. Market Revenue and Forecast, by Application

12.3.3. Market Revenue and Forecast, by Enterprises

12.3.4. Market Revenue and Forecast, by Industry

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Solution

12.3.5.2. Market Revenue and Forecast, by Application

12.3.5.3. Market Revenue and Forecast, by Enterprises

12.3.5.4. Market Revenue and Forecast, by Industry

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Solution

12.3.6.2. Market Revenue and Forecast, by Application

12.3.6.3. Market Revenue and Forecast, by Enterprises

12.3.6.4. Market Revenue and Forecast, by Industry

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Solution

12.3.7.2. Market Revenue and Forecast, by Application

12.3.7.3. Market Revenue and Forecast, by Enterprises

12.3.7.4. Market Revenue and Forecast, by Industry

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Solution

12.3.8.2. Market Revenue and Forecast, by Application

12.3.8.3. Market Revenue and Forecast, by Enterprises

12.3.8.4. Market Revenue and Forecast, by Industry

12.4. MEA

12.4.1. Market Revenue and Forecast, by Solution

12.4.2. Market Revenue and Forecast, by Application

12.4.3. Market Revenue and Forecast, by Enterprises

12.4.4. Market Revenue and Forecast, by Industry

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Solution

12.4.5.2. Market Revenue and Forecast, by Application

12.4.5.3. Market Revenue and Forecast, by Enterprises

12.4.5.4. Market Revenue and Forecast, by Industry

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Solution

12.4.6.2. Market Revenue and Forecast, by Application

12.4.6.3. Market Revenue and Forecast, by Enterprises

12.4.6.4. Market Revenue and Forecast, by Industry

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Solution

12.4.7.2. Market Revenue and Forecast, by Application

12.4.7.3. Market Revenue and Forecast, by Enterprises

12.4.7.4. Market Revenue and Forecast, by Industry

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Solution

12.4.8.2. Market Revenue and Forecast, by Application

12.4.8.3. Market Revenue and Forecast, by Enterprises

12.4.8.4. Market Revenue and Forecast, by Industry

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Solution

12.5.2. Market Revenue and Forecast, by Application

12.5.3. Market Revenue and Forecast, by Enterprises

12.5.4. Market Revenue and Forecast, by Industry

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Solution

12.5.5.2. Market Revenue and Forecast, by Application

12.5.5.3. Market Revenue and Forecast, by Enterprises

12.5.5.4. Market Revenue and Forecast, by Industry

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Solution

12.5.6.2. Market Revenue and Forecast, by Application

12.5.6.3. Market Revenue and Forecast, by Enterprises

12.5.6.4. Market Revenue and Forecast, by Industry

Chapter 13. Company Profiles

13.1. IBM Corporation

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Cognizant

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Temenos AG

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. Capgemini SE

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. Subex Limited

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. JuicyScore

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Hewlett Packard Enterprise

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. Maxmind, Inc.

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. BAE Systems plc

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. Pelican

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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Frequently Asked Questions

The global AI in fraud management market size is expected to increase USD 65.35 billion by 2034 from USD 12.42 billion in 2024.

The AI in fraud management market is anticipated to grow at a CAGR of over 18.06% between 2025 and 2034.

The major players operating in the AI in fraud management market are IBM Corporation, Cognizant, Temenos AG, Capgemini SE, Subex Limited, JuicyScore, Hewlett Packard Enterprise, Maxmind, Inc., BAE Systems plc, Pelican, SAS Institute, Inc., Splunck Inc., DataVisor, Inc., Matellio, Inc., ACTICO Gmbh., and Others.

The driving factors of the AI in fraud management market are the rising concern about security threats and the increasing cases of cyber fraud, and cyberattacks and rising adoption of online services such as e-commerce platforms.

North America region will lead the global AI in fraud management market during the forecast period 2025 to 2034.

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