Fraud Detection and Prevention in BFSI Market Size, Share, and Trends 2026 to 2035

Gautam Mahajan is an ICT market research analyst. He conducted research on machine learning-based fraud scoring, behavioral biometrics, device intelligence, identity verification, payment fraud, and account takeover prevention across BFSI. His research supports banks, insurers, fintech companies, payment providers, and fraud technology vendors in assessing market opportunities, competitive positions, and technology adoption. The fraud detection and prevention in BFSI market was expected to reach USD 29.1 billion in 2035.

Last Updated : 26 Aug 2026  |  Report Code : 8696  |  Category : ICT   |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

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

5.1. Market Dynamics

5.1.1. Market Drivers

5.1.2. Market Restraints

5.1.3. Market Opportunities

5.2. Porter’s Five Forces Analysis

5.2.1. Bargaining power of suppliers

5.2.2. Bargaining power of buyers

5.2.3. Threat of substitute

5.2.4. Threat of new entrants

5.2.5. Degree of competition

Chapter 6. Competitive Landscape

6.1.1. Company Market Share/Positioning Analysis

6.1.2. Key Strategies Adopted by Players

6.1.3. Vendor Landscape

6.1.3.1. List of Suppliers

6.1.3.2. List of Buyers

Chapter 7. Global Fraud Detection and Prevention in BFSI Market, By Offering

7.1. Fraud Detection and Prevention in BFSI Market, by Offering

7.1.1. Solutions

7.1.1.1. Market Revenue and Forecast

7.1.2. Services

7.1.2.1. Market Revenue and Forecast

Chapter 8. Global Fraud Detection and Prevention in BFSI Market, By Solution

8.1. Fraud Detection and Prevention in BFSI Market, by Solution

8.1.1. Fraud Analytics

8.1.1.1. Market Revenue and Forecast

8.1.2. Authentication

8.1.2.1. Market Revenue and Forecast

8.1.3. Identity Verification

8.1.3.1. Market Revenue and Forecast

8.1.4. Governance, Risk & Compliance

8.1.4.1. Market Revenue and Forecast

8.1.5. Transaction Monitoring

8.1.5.1. Market Revenue and Forecast

Chapter 9. Global Fraud Detection and Prevention in BFSI Market, By Service

9.1. Fraud Detection and Prevention in BFSI Market, by Service

9.1.1. Professional Services

9.1.1.1. Market Revenue and Forecast

9.1.2. Managed Services

9.1.2.1. Market Revenue and Forecast

9.1.3. Consulting Services

9.1.3.1. Market Revenue and Forecast

9.1.4. Implementation & Integration

9.1.4.1. Market Revenue and Forecast

9.1.5. Support & Maintenance

9.1.5.1. Market Revenue and Forecast

Chapter 10. Global Fraud Detection and Prevention in BFSI Market, By Fraud Type

10.1. Fraud Detection and Prevention in BFSI Market, by Fraud Type

10.1.1. Payment Fraud

10.1.1.1. Market Revenue and Forecast

10.1.2. Identity Fraud

10.1.2.1. Market Revenue and Forecast

10.1.3. Account Takeover Fraud

10.1.3.1. Market Revenue and Forecast

10.1.4. Card Fraud

10.1.4.1. Market Revenue and Forecast

10.1.5. Application Fraud

10.1.5.1. Market Revenue and Forecast

10.1.6. Synthetic Identity Fraud

10.1.6.1. Market Revenue and Forecast

10.1.7. First-Party Fraud

10.1.7.1. Market Revenue and Forecast

10.1.8. Insider Fraud

10.1.8.1. Market Revenue and Forecast

10.1.9. Investment Fraud

10.1.9.1. Market Revenue and Forecast

10.1.10. Money Laundering & Financial Crime

10.1.10.1. Market Revenue and Forecast

Chapter 11. Global Fraud Detection and Prevention in BFSI Market, By Technology

11.1. Fraud Detection and Prevention in BFSI Market, by Technology

11.1.1. Artificial Intelligence & Machine Learning

11.1.1.1. Market Revenue and Forecast

11.1.2. Behavioral Analytics

11.1.2.1. Market Revenue and Forecast

11.1.3. Predictive Analytics

11.1.3.1. Market Revenue and Forecast

11.1.4. Biometrics

11.1.4.1. Market Revenue and Forecast

11.1.5. Device Intelligence

11.1.5.1. Market Revenue and Forecast

11.1.6. Digital Identity Intelligence

11.1.6.1. Market Revenue and Forecast

11.1.7. Rules-Based Analytics

11.1.7.1. Market Revenue and Forecast

11.1.8. Natural Language Processing

11.1.8.1. Market Revenue and Forecast

11.1.9. Graph Analytics

11.1.9.1. Market Revenue and Forecast

11.1.10. Blockchain & Distributed Ledger Technology

11.1.10.1. Market Revenue and Forecast

Chapter 12. Global Fraud Detection and Prevention in BFSI Market, By Deployment

12.1. Fraud Detection and Prevention in BFSI Market, by Deployment

12.1.1. Cloud

12.1.1.1. Market Revenue and Forecast

12.1.2. On-Premises

12.1.2.1. Market Revenue and Forecast

12.1.3. Hybrid

12.1.3.1. Market Revenue and Forecast

Chapter 13. Global Fraud Detection and Prevention in BFSI Market, By Organization Size

13.1. Fraud Detection and Prevention in BFSI Market, by Organization Size

13.1.1. Small & Medium Enterprises

13.1.1.1. Market Revenue and Forecast

13.1.2. Large Enterprises

13.1.2.1. Market Revenue and Forecast

Chapter 14. Global Fraud Detection and Prevention in BFSI Market, By Financial Institution

14.1. Fraud Detection and Prevention in BFSI Market, by Financial Institution

14.1.1. Banks

14.1.1.1. Market Revenue and Forecast

14.1.2. Insurance Companies

14.1.2.1. Market Revenue and Forecast

14.1.3. FinTech Companies

14.1.3.1. Market Revenue and Forecast

14.1.4. Payment Service Providers

14.1.4.1. Market Revenue and Forecast

14.1.5. Credit Unions

14.1.5.1. Market Revenue and Forecast

Chapter 15. Global Fraud Detection and Prevention in BFSI Market, By Application

15.1. Fraud Detection and Prevention in BFSI Market, by Application

15.1.1. Digital Banking

151.1.1. Market Revenue and Forecast

15.1.2. Mobile Banking

15.1.2.1. Market Revenue and Forecast

15.1.3. Online Payments

15.1.3.1. Market Revenue and Forecast

15.1.4. Card Payments

15.1.4.1. Market Revenue and Forecast

15.1.5. Account Opening & Onboarding

15.1.5.1. Market Revenue and Forecast

Chapter 16. Global Fraud Detection and Prevention in BFSI Market, Regional Estimates and Trend Forecast

16.1. North America

16.1.1. Market Revenue and Forecast, by Offering

16.1.2. Market Revenue and Forecast, by Solution

16.1.3. Market Revenue and Forecast, by Service

16.1.4. Market Revenue and Forecast, by Fraud Type

16.1.5. Market Revenue and Forecast, by Technology

16.1.6. Market Revenue and Forecast, by Deployment

16.1.7. Market Revenue and Forecast, by Organization Size

16.1.8. Market Revenue and Forecast, by Financial Institution

16.1.9. Market Revenue and Forecast, by Application

16.1.9. U.S.

16.1.9.1. Market Revenue and Forecast, by Offering

16.1.9.2. Market Revenue and Forecast, by Solution

16.1.9.3. Market Revenue and Forecast, by Service

16.1.9.4. Market Revenue and Forecast, by Fraud Type

16.1.9.5.  Market Revenue and Forecast, by Technology

16.1.9.6. Market Revenue and Forecast, by Deployment

16.1.9.7. Market Revenue and Forecast, by Organization Size

16.1.9.8. Market Revenue and Forecast, by Financial Institution

16.1.9.9. Market Revenue and Forecast, by Application

16.1.10. Rest of North America

16.1.10.1. Market Revenue and Forecast, by Offering

16.1.10.2. Market Revenue and Forecast, by Solution

16.1.10.3. Market Revenue and Forecast, by Service

16.1.10.4. Market Revenue and Forecast, by Fraud Type

16.1.10.5. Market Revenue and Forecast, by Technology

16.1.10.6. Market Revenue and Forecast, by Deployment

16.1.10.7. Market Revenue and Forecast, by Organization Size

16.1.10.8. Market Revenue and Forecast, by Financial Institution

16.1.10.9. Market Revenue and Forecast, by Application

16.2. Europe

16.2.1. Market Revenue and Forecast, by Offering

16.2.2. Market Revenue and Forecast, by Solution

16.2.3. Market Revenue and Forecast, by Service

16.2.4. Market Revenue and Forecast, by Fraud Type

16.2.5. Market Revenue and Forecast, by Technology

16.2.6. Market Revenue and Forecast, by Deployment

16.2.7. Market Revenue and Forecast, by Organization Size

16.2.8. Market Revenue and Forecast, by Financial Institution

16.2.9. Market Revenue and Forecast, by Application

15.2.9. UK

16.2.9.1. Market Revenue and Forecast, by Offering

16.2.9.2. Market Revenue and Forecast, by Solution

16.2.9.3. Market Revenue and Forecast, by Service

16.2.9.4. Market Revenue and Forecast, by Fraud Type

16.2.9.5. Market Revenue and Forecast, by Technology

16.2.9.6. Market Revenue and Forecast, by Deployment

16.2.9.7. Market Revenue and Forecast, by Organization Size

16.2.9.8. Market Revenue and Forecast, by Financial Institution

16.2.9.9. Market Revenue and Forecast, by Application

16.2.10. Germany

16.2.10.1. Market Revenue and Forecast, by Offering

16.2.10.2. Market Revenue and Forecast, by Solution

16.2.10.3. Market Revenue and Forecast, by Service

16.2.10.4. Market Revenue and Forecast, by Fraud Type

16.2.10.5. Market Revenue and Forecast, by Technology 

16.2.10.6. Market Revenue and Forecast, by Deployment

16.2.10.7. Market Revenue and Forecast, by Organization Size

16.2.10.8. Market Revenue and Forecast, by Financial Institution

16.2.10.9. Market Revenue and Forecast, by Application

16.2.11.  France

16.2.11.1. Market Revenue and Forecast, by Offering

16.2.11.2. Market Revenue and Forecast, by Solution

16.2.11.3. Market Revenue and Forecast, by Service

16.2.11.4. Market Revenue and Forecast, by Fraud Type

16.2.11.5. Market Revenue and Forecast, by Technology 

16.2.11.6. Market Revenue and Forecast, by Deployment

16.2.11.7. Market Revenue and Forecast, by Organization Size

16.2.11.8. Market Revenue and Forecast, by Financial Institution

16.2.11.9. Market Revenue and Forecast, by Application

16.2.12. Rest of Europe

16.2.12.1. Market Revenue and Forecast, by Offering

16.2.12.2. Market Revenue and Forecast, by Solution

16.2.12.3. Market Revenue and Forecast, by Service

16.2.12.4. Market Revenue and Forecast, by Fraud Type

16.2.12.5. Market Revenue and Forecast, by Technology 

16.2.12.6. Market Revenue and Forecast, by Deployment

16.2.12.7. Market Revenue and Forecast, by Organization Size

16.2.12.8. Market Revenue and Forecast, by Financial Institution

16.2.12.9. Market Revenue and Forecast, by Application

16.3. APAC

16.3.1. Market Revenue and Forecast, by Offering

16.3.2. Market Revenue and Forecast, by Solution

16.3.3. Market Revenue and Forecast, by Service

16.3.4. Market Revenue and Forecast, by Fraud Type

16.3.5. Market Revenue and Forecast, by Technology

16.3.6. Market Revenue and Forecast, by Deployment

16.3.7. Market Revenue and Forecast, by Organization Size

16.3.8. Market Revenue and Forecast, by Financial Institution

16.3.9. Market Revenue and Forecast, by Application

16.3.9. India

16.3.9.1. Market Revenue and Forecast, by Offering

16.3.9.2. Market Revenue and Forecast, by Solution

16.3.9.3. Market Revenue and Forecast, by Service

16.3.9.4. Market Revenue and Forecast, by Fraud Type

16.3.9.5. Market Revenue and Forecast, by Technology

16.3.9.6. Market Revenue and Forecast, by Deployment

16.3.9.7. Market Revenue and Forecast, by Organization Size

16.3.9.8. Market Revenue and Forecast, by Financial Institution

16.3.9.9. Market Revenue and Forecast, by Application

16.3.10. China

16.3.10.1. Market Revenue and Forecast, by Offering

16.3.10.2. Market Revenue and Forecast, by Solution

16.3.10.3. Market Revenue and Forecast, by Service

16.3.10.4. Market Revenue and Forecast, by Fraud Type

16.3.10.5. Market Revenue and Forecast, by Technology 

16.3.10.6. Market Revenue and Forecast, by Deployment

16.3.10.7. Market Revenue and Forecast, by Organization Size

16.3.10.8. Market Revenue and Forecast, by Financial Institution

16.3.10.9. Market Revenue and Forecast, by Application

16.3.11. Japan

16.3.11.1. Market Revenue and Forecast, by Offering

16.3.11.2. Market Revenue and Forecast, by Solution

16.3.11.3. Market Revenue and Forecast, by Service

16.3.11.4. Market Revenue and Forecast, by Fraud Type

16.3.11.5. Market Revenue and Forecast, by Technology 

16.3.11.6. Market Revenue and Forecast, by Deployment

16.3.11.7. Market Revenue and Forecast, by Organization Size

16.3.11.8. Market Revenue and Forecast, by Financial Institution

16.3.11.9. Market Revenue and Forecast, by Application

16.3.12. Rest of APAC

16.3.12.1. Market Revenue and Forecast, by Offering

16.3.12.2. Market Revenue and Forecast, by Solution

16.3.12.3. Market Revenue and Forecast, by Service

16.3.12.4. Market Revenue and Forecast, by Fraud Type

16.3.12.5. Market Revenue and Forecast, by Technology 

16.3.12.6. Market Revenue and Forecast, by Deployment

16.3.12.7. Market Revenue and Forecast, by Organization Size

16.3.12.8. Market Revenue and Forecast, by Financial Institution

16.3.12.9. Market Revenue and Forecast, by Application

16.4. MEA

16.4.1. Market Revenue and Forecast, by Offering

16.4.2. Market Revenue and Forecast, by Solution

16.4.3. Market Revenue and Forecast, by Service

16.4.4. Market Revenue and Forecast, by Fraud Type

16.4.5. Market Revenue and Forecast, by Technology

16.4.6. Market Revenue and Forecast, by Deployment

16.4.7. Market Revenue and Forecast, by Organization Size

16.4.8. Market Revenue and Forecast, by Financial Institution

16.4.9. Market Revenue and Forecast, by Application

16.4.9. GCC

16.4.9.1. Market Revenue and Forecast, by Offering

16.4.9.2. Market Revenue and Forecast, by Solution

16.4.9.3. Market Revenue and Forecast, by Service

16.4.9.4. Market Revenue and Forecast, by Fraud Type

16.4.9.5. Market Revenue and Forecast, by Technology

16.4.9.6. Market Revenue and Forecast, by Deployment

16.4.9.7. Market Revenue and Forecast, by Organization Size

16.4.9.8. Market Revenue and Forecast, by Financial Institution

16.4.9.9. Market Revenue and Forecast, by Application

16.4.10. North Africa

16.4.10.1. Market Revenue and Forecast, by Offering

16.4.10.2. Market Revenue and Forecast, by Solution

16.4.10.3. Market Revenue and Forecast, by Service

16.4.10.4. Market Revenue and Forecast, by Fraud Type

16.4.10.5. Market Revenue and Forecast, by Technology 

16.4.10.6. Market Revenue and Forecast, by Deployment

16.4.10.7. Market Revenue and Forecast, by Organization Size

16.4.10.8. Market Revenue and Forecast, by Financial Institution

16.4.10.9. Market Revenue and Forecast, by Application

16.4.11. South Africa

16.4.11.1. Market Revenue and Forecast, by Offering

16.4.11.2. Market Revenue and Forecast, by Solution

16.4.11.3. Market Revenue and Forecast, by Service

16.4.11.4. Market Revenue and Forecast, by Fraud Type

16.4.11.5. Market Revenue and Forecast, by Technology 

16.4.11.6. Market Revenue and Forecast, by Deployment

16.4.11.7. Market Revenue and Forecast, by Organization Size

16.4.11.8. Market Revenue and Forecast, by Financial Institution

16.4.11.9. Market Revenue and Forecast, by Application

16.4.12. Rest of MEA

16.4.12.1. Market Revenue and Forecast, by Offering

16.4.12.2. Market Revenue and Forecast, by Solution

16.4.12.3. Market Revenue and Forecast, by Service

16.4.12.4. Market Revenue and Forecast, by Fraud Type

16.4.12.5. Market Revenue and Forecast, by Technology 

16.4.12.6. Market Revenue and Forecast, by Deployment

16.4.12.7. Market Revenue and Forecast, by Organization Size

16.4.12.8. Market Revenue and Forecast, by Financial Institution

16.4.12.9. Market Revenue and Forecast, by Application

16.5. Latin America

16.5.1. Market Revenue and Forecast, by Offering

16.5.2. Market Revenue and Forecast, by Solution

16.5.3. Market Revenue and Forecast, by Service

16.5.4. Market Revenue and Forecast, by Fraud Type

16.5.5. Market Revenue and Forecast, by Technology 

16.5.6. Market Revenue and Forecast, by Deployment

16.5.7. Market Revenue and Forecast, by Organization Size

16.5.8. Market Revenue and Forecast, by Financial Institution

16.5.9. Market Revenue and Forecast, by Application

16.5.9. Brazil

16.5.9.1. Market Revenue and Forecast, by Offering

16.5.9.2. Market Revenue and Forecast, by Solution

16.5.9.3. Market Revenue and Forecast, by Service

16.5.9.4. Market Revenue and Forecast, by Fraud Type

16.5.9.5. Market Revenue and Forecast, by Technology

16.5.9.6. Market Revenue and Forecast, by Deployment

16.5.9.7. Market Revenue and Forecast, by Organization Size

16.5.9.8. Market Revenue and Forecast, by Financial Institution

16.5.9.9. Market Revenue and Forecast, by Application

16.5.10.   Rest of LATAM

16.5.10.1. Market Revenue and Forecast, by Offering

16.5.10.2. Market Revenue and Forecast, by Solution

16.5.10.3. Market Revenue and Forecast, by Service

16.5.10.4. Market Revenue and Forecast, by Fraud Type

16.5.10.5. Market Revenue and Forecast, by Technology 

16.5.10.6. Market Revenue and Forecast, by Deployment

16.5.10.7. Market Revenue and Forecast, by Organization Size

16.5.10.8. Market Revenue and Forecast, by Financial Institution

16.5.10.9. Market Revenue and Forecast, by Application

Chapter 17. Company Profiles

17.1. Visa

17.1.1. Company Overview

17.1.2. Product Offerings

17.1.3. Financial Performance

17.1.4. Recent Initiatives

17.2. Mastercard

17.2.1. Company Overview

17.2.2. Product Offerings

17.2.3. Financial Performance

17.2.4. Recent Initiatives

17.3. NICE Actimize

17.3.1. Company Overview

17.3.2. Product Offerings

17.3.3. Financial Performance

17.3.4. Recent Initiatives

17.4. FICO

17.4.1. Company Overview

17.4.2. Product Offerings

17.4.3. Financial Performance

17.4.4. Recent Initiatives

17.5. Feedzai

17.5.1. Company Overview

17.5.2. Product Offerings

17.5.3. Financial Performance

17.5.4. Recent Initiatives

17.6. Visa

17.6.1. Company Overview

17.6.2. Product Offerings

17.6.3. Financial Performance

17.6.4. Recent Initiatives

17.7. Mastercard

17.7.1. Company Overview

17.7.2. Product Offerings

17.7.3. Financial Performance

17.7.4. Recent Initiatives

17.8. NICE Actimize

17.8.1. Company Overview

17.8.2. Product Offerings

17.8.3. Financial Performance

17.8.4. Recent Initiatives

17.9. SAS

17.9.1. Company Overview

17.9.2. Product Offerings

17.9.3. Financial Performance

17.9.4. Recent Initiatives

17.10. FICO

17.10.1. Company Overview

17.10.2. Product Offerings

17.10.3. Financial Performance

17.10.4. Recent Initiatives

Chapter 18. Research Methodology

18.7. Primary Research

18.7. Secondary Research

18.7. Assumptions

Chapter 19. Appendix

19.1. About Us

19.2. Glossary of Terms

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Frequently Asked Questions

Answer : Common types of payment, account takeover, identification theft, and synthetic identification theft frauds, along with card fraud, phishing-related frauds, loan frauds, insurance fraud, and unauthorized transactions, are well-known major frauds.

Answer : In less than one second, all the money can be transferred via instant payments and digital banking to the bad guys. By monitoring in real time, institutions are able to evaluate risk before or while transacting, as opposed to just after a transaction.

Answer : Common technologies to facilitate key technology deployment involve: machine learning, behavioral biometrics, device fingerprinting, graph analytics, identity intelligence, transaction monitoring, risk-based authentication, anomaly detection, and automated investigation tools. In many cases, such as these, the technologies themselves are being integrated to assess several risk indicators at once.

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