Banking Fraud Prevention Market: 2026-2031

Description

'Banking Fraud to Reach 2.2 billion Transactions by 2031, Fuelled by Growing AI-enabled Attacks'

Overview

Our Banking Fraud Prevention research suite provides a comprehensive and in-depth analysis of the types of fraud currently impacting the banking sector, and the evolving methods that can be used to overcome them. This enables stakeholders such as banks, financial institutions, and fintechs to understand the future impacts of fraud, key trends within prevention, and the competitive environment for fraud prevention solutions. It also examines regional opportunities in fraud prevention solution adoption for key market players.

The suite includes several different options that can be purchased separately. This includes access to data mapping the fraud incidence rate and fraud prevention spend by financial institutions, an insightful study uncovering the latest trends and opportunities within the banking fraud prevention market, and a document containing extensive analysis of 18 market leaders offering fraud prevention solutions to banks. The coverage can also be purchased as a Full Research Suite, containing all these elements, at a substantial discount.

This report serves as an essential resource for understanding the rapidly evolving nature of fraud in the banking space; empowering stakeholders to shape effective future strategies. With its comprehensive insights and extensive coverage, this research suite is an invaluable tool for navigating and planning in a fast-growing landscape.

All report content is delivered in the English language.

Key Features

Market Dynamics: Insights into key trends and market expansion challenges within the banking fraud prevention market, including drivers of fraud and major fraud challenges faced by financial institutions. The report addresses the role of fraud prevention solutions in monitoring transactions for risk, the use of machine learning in fraud prevention, and the regulations affecting the fraud prevention landscape. The research also features a Country Readiness Index analysing the current development and segment growth of the fraud prevention market across eight key regions, and providing a future outlook for how the market will evolve.
Key Takeaways & Strategic Recommendations: In-depth analysis of key development opportunities within the banking fraud prevention market, accompanied by strategic recommendations for stakeholders.
Benchmark Industry Forecasts: Comprehensive forecast data covering banking fraud prevention across sectors; encompassing the total value of fraudulent transactions for financial institutions and spend on fraud prevention solutions, split by different market segments.
Juniper Research Competitor Leaderboard: Independent assessment of 18 leading banking fraud prevention vendors; evaluating their capability and capacity to compete. This report provides a clear view of how the competitive landscape is shifting, and which players are best positioned to lead.

Market Data & Forecasting Report

The market-leading research suite for the Banking Fraud Prevention market includes access to the full set of forecast data, consisting of 54 tables and over 44,700 datapoints. Metrics in the research suite include:

Total Transaction Volume and Value of Fraudulent Transactions
Total Annual Spend on Fraud Detection and Prevention Solutions by Banks and Financial Institutions
Total Number of Banks and Financial Institutions Using Fraud Prevention Solutions

Spend and adoption forecasts are split by the following market segments:

Banks and Credit Unions
Fintechs
Investment Companies
Lending Companies

The Juniper Research Interactive Forecast Excel contains the following functionality:

Statistics Analysis: Users benefit from the ability to search for specific metrics, displayed for all regions and countries across the data period. Graphs are easily modified and can be exported to the clipboard.
Country Data Tool: This tool allows the user to review metrics for all regions and countries in the forecast period. Users can refine the metrics displayed via the search bar.
Country Comparison Tool: Users can select and compare each of the countries. The ability to export graphs is included in this tool.
What-if Analysis: Here, users can compare forecast metrics against their own assumptions; featuring five interactive scenarios.

Market Trends & Strategies Report

This report examines the Banking Fraud Prevention market landscape in detail; gauging different market trends and factors that are shaping the evolution of this rapidly evolving market. For example, assessing how financial institutions are deploying advanced fraud detection technologies to counter emerging threats such as AI-enabled fraud and increasingly sophisticated social engineering attacks. Furthermore the report explores the key developments shaping banking fraud prevention, including behavioural analytics, cross-institution intelligence sharing, and identity intelligence. This is accompanied by strategic recommendations for how stakeholders can better navigate this fast-changing market.

Competitor Leaderboard Report

The Competitor Leaderboard report provides a detailed evaluation and market positioning for 18 leading vendors in the Banking Fraud Prevention space. These vendors are positioned either as an Established Leader, Leading Challenger, or Disruptor & Challenger; based on capacity and capability assessments. The 18 vendors comprise:

Accertify
ACI Worldwide
ComplyAdvantage
Discover Financial Services
Entrust
Feedzai
FICO
FIS Global
Fiserv
Hawk
IBM
LexisNexis Risk Solutions
Mastercard
NICE Actimize
SEON
Thales
Tookitaki
TransUnion
Visa

This document is centred around the Juniper Research Competitor Leaderboard; a vendor positioning tool that provides an at-a-glance view of the competitive landscape, backed by a robust methodology.

Fraud Detection & Prevention in Banking FAQs

What does the Fraud Detection & Prevention in Banking research cover?
- The research report provides a comprehensive analysis of the evolving fraud landscape in the banking sector. It examines the impact of new payment types like instant payments, blockchain, and CBDCs, and how they influence fraud detection and prevention. The report also highlights emerging fraudulent schemes, the role of AI in fraud prevention, and key regulatory changes affecting the banking industry. It explores future challenges in fraud detection, including false positives, and the increasing use of behavioural analysis and transaction monitoring.
Who should use Juniper Research’s Fraud Detection & Prevention in Banking reports?
- This report is essential for financial institutions, including banks, credit unions, lenders, and investment companies, as well as fraud prevention vendors and technology providers. Regulatory bodies, financial service professionals, and technology innovators involved in fraud detection and prevention will also find this research invaluable for staying ahead in the rapidly evolving landscape of financial crime prevention.
Can I purchase Fraud Detection & Prevention in Banking reports directly online?
- Yes, the Fraud Detection & Prevention in Banking report is available for purchase through Juniper Research’s website. It can be bought as part of a comprehensive research suite or individually, depending on your specific requirements.
What types of data are included in the Fraud Detection & Prevention in Banking research?
- The report provides extensive data, including forecasts for 60 countries, total annual spend on fraud detection solutions, the number of financial institutions using fraud detection methods, and instances of fraudulent transactions. It also includes detailed metrics on fraud risks, fraudulent transaction values, and the impact of AI and real-time data on fraud prevention strategies.
What other services does Juniper Research offer alongside Fraud Detection & Prevention in Banking reports?
- Juniper Research offers additional services such as custom research reports, consulting services, and subscription-based data platforms. These services are designed to provide deeper insights, tailored strategies, and ongoing support to stakeholders in the fraud detection and prevention space.
Why should I choose Juniper Research for insights on Fraud Detection & Prevention in Banking?
- Juniper Research is recognised for its reliable, data-driven insights and deep industry knowledge. This report offers a detailed evaluation of the fraud detection landscape, future opportunities, and strategic recommendations for banks and financial institutions. The extensive market data and competitor analysis make it an invaluable resource for stakeholders looking to stay ahead of fraud risks and technology trends.
How can I contact Juniper Research for support regarding Fraud Detection & Prevention in Banking reports?
- For more information or assistance with the Fraud Detection & Prevention in Banking Research Report, please contact Juniper Research directly via the website contact. Our team is available to assist you with any inquiries or provide additional support.

1. Market Trends & Strategies Table of Contents

1. Market Summary

1.1 Key Takeaways & Strategic Recommendations
1.2 Strategic Recommendations

2. Market Landscape

2.1 Market Landscape & Segmentation
- 2.1.1 Introduction
- 2.1.2 Definitions & Scope
2.2 Types of Fraud
- Figure 2.1: Types of Fraud
- 2.2.1 First-party Fraud
  - i. Application Fraud & Fake Accounts
  - ii. Money Mules
  - iii. Fronting
  - iv. Sleeper Fraud
  - v. APP Fraud
  - vi. Social Engineering Fraud
- 2.2.2 Money Laundering
- 2.2.3 Chargeback Fraud
- 2.2.4 ATO
- 2.2.5 Synthetic Identity
  - i. Detection of Synthetic Identity Fraud
- 2.2.6 Insider Threat
2.3 Solutions Used in Issuer Fraud Detection & Prevention
- 2.3.1 Fraud Detection & Prevention Systems
  - i. Biometric Identification
  - ii. Tokenisation
  - iii. Behavioural Analytics
  - iv. AML Software
2.4 Challenges
- 2.4.1 Introduction
- Figure 2.2: Major Challenges Faced by Financial Institutions in the Fraud Landscape
- 2.4.2 Inflation & Financial Uncertainty
- 2.4.3 Technological Advancement
- 2.4.4 Urgent Need to Protect the ‘Underbanked’
- 2.4.5 Cybersecurity Talent Shortage

3. Solutions & Opportunities

3.1 Solutions & Opportunities
- 3.1.1 AI
  - i. Advantages of AI in Fraud Detection and Prevention
  - ii. Disadvantages of AI in Fraud Detection and Prevention
- 3.1.2 Machine Learning
  - i. Advantages of Machine Learning in Fraud Detection and Prevention
  - ii. Disadvantages of Machine Learning in Fraud Detection and Prevention
- 3.1.3 APIs
  - i. Advantages of APIs in Fraud Detection and Prevention
  - ii. Disadvantages of APIs in Fraud Detection and Prevention
- 3.1.4 Quantum-safe Cryptography
  - i. Advantages of Quantum-safe Cryptography in Fraud Detection and Prevention
  - ii. Disadvantages of Quantum-safe Cryptography in Fraud Detection and Prevention
- 3.1.5 Agentic AI
  - i. Advantages of Agentic AI in Fraud Detection and Prevention
  - ii. Disadvantages of Agentic AI in Fraud Detection and Prevention
3.2 Regulations
- 3.2.1 European Union – Payment Services Directive 3 (PSD3) and Payment Services Regulation (PSR)
- 3.2.2 The European Union Authority for Anti-Money Laundering Authority (AMLA)
- 3.2.3 Brazil’s PIX Special Return Mechanism 2.0 (MED2.0)
- 3.2.4 United States – Nacha 2026 Fraud Monitoring Rules
- 3.2.5 Nigeria Instant Payment Fraud Controls
- 3.2.6 Reserve Bank of India Authentication Mechanisms for Digital Payment Transactions Directions

4. Segment Analysis: Business Verticals

4.1 Segment Analysis
- 4.1.1 Introduction
- 4.1.2 Banks & Credit Unions
- 4.1.3 Fintechs
- 4.1.4 Lenders
- 4.1.5 Investment Companies
- 4.1.6 Value-added Services
- 4.1.7 Invoice Financing
- 4.1.8 Accounts Payable and Accounts Receivable Automation
- 4.1.9 Trade Financing

5. Country Readiness Index

5.1 Introduction
- Figure 5.1: Juniper Research Country Readiness Index Regional Definitions
- Table 5.2: Juniper Research Country Readiness Index Scoring Criteria: Banking Fraud Prevention
- Figure 5.3: Juniper Research Country Readiness Index: Banking Fraud Prevention Market
- Table 5.4: Banking Fraud Prevention Market Country Readiness Index: Market Segments
5.2 Focus Markets
5.3 Growth Markets
5.4 Saturated Markets
- Table 5.5: Juniper Research Country Readiness Index Heatmap: North America
- Table 5.6: Juniper Research Country Readiness Index Heatmap: Latin America
- Table 5.7: Juniper Research Country Readiness Index Heatmap: West Europe (Page 1 of 2)
- Table 5.7: Juniper Research Country Readiness Index Heatmap: West Europe (Page 2 of 2)
- Table 5.8: Juniper Research Country Readiness Index Heatmap: Far East & China
- Table 5.9: Juniper Research Country Readiness Index Heatmap: Far East & China
- Table 5.10: Juniper Research Country Readiness Index Heatmap: Indian Subcontinent
- Table 5.11: Juniper Research Country Readiness Index Heatmap: Rest of Asia Pacific
- Table 5.12: Juniper Research Country Readiness Index Heatmap: Africa & Middle East

2. Competitor Leaderboard Table of Contents

1. Competitor Leaderboard

1.1 Why Read This Report
- Figure 1.1: Juniper Research Competitor Leaderboard: Banking Fraud Prevention Vendors & Product Portfolio
- Figure 1.2: Juniper Research Leaderboard: Banking Fraud Prevention Vendors
- Table 1.3: Juniper Research Leaderboard: Banking Fraud Prevention Vendor Positioning
- Figure 1.4: Juniper Research Leaderboard Heatmap: Banking Fraud Prevention Vendors
1.2 Banking Fraud Prevention Vendor Profiles
- 1.2.1 Accertify
  - i. Corporate Information
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
- 1.2.2 ACI Worldwide
  - i. Corporate Information
  - Table 1.5: ACI Worldwide Revenue ($m), 2023-2025
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
- 1.2.3 ComplyAdvantage
  - i. Corporate Information
  - Table 1.6 ComplyAdvantage’s Investment Rounds ($m), 2016-2021
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
- 1.2.4 Discover Financial Services
  - i. Corporate Information
  - Figure 1.7: Discover Financial Services Revenue ($m), 2022-2024
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
- 1.2.5 Entrust
  - i. Corporate Information
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
- 1.2.6 Feedzai
  - i. Corporate Information
  - Table 1.8: Feedzai’s Investment Rounds ($m), 2011-2021
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
- 1.2.7 FICO
  - i. Corporate Information
  - Table 1.9 FICO’s Financial Snapshot ($m), 2023-2025
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
- 1.2.8 FIS Global
  - i. Corporate Information
  - Table 1.10 FIS Global Financial Snapshot ($m), 2023-2025
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
- 1.2.9 Fiserv
  - i. Corporate Information
  - Table 1.11: Fiserv’s Financial Snapshot ($m), 2023-2025
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
- 1.2.10 Hawk
  - i. Corporate Information
  - Table 1.12: Hawk’s Investment Rounds ($m) 2021-2025
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
- 1.2.11 IBM
  - i. Corporate Information
  - Table 1.13: IBM’s Revenue ($m), 2023-2025
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
- 1.2.12 LexisNexis® Risk Solutions
  - i. Corporate Information
  - Table 1.14: Financial Snapshot for RELX® ($m), 2021-2025
  - Table 1.15: Risk Segment Financial Snapshot ($m), 2022-2025
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
- 1.2.13 Mastercard
  - i. Corporate Information
  - Figure 1.16: Mastercard’s Revenue ($m), 2022-2024
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
- 1.2.14 NICE Actimize
  - i. Corporate Information
  - Table 1.17: NICE’s Financial Performance ($m), 2022-2024
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
- 1.2.15 SEON
  - i. Corporate Information
  - Figure 1.18: SEON Investment Rounds, 2018-2025
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
- 1.2.16 Thales
  - i. Corporate Information
  - Table 1.19: Thales Financial Snapshot ($m), 2022-2025
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
- 1.2.17 Tookitaki
  - i. Corporate Information
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
- 1.2.18 TransUnion
  - i. Corporate Information
  - Table 1.20: TransUnion Revenue ($m), 2022-2024
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
- 1.2.19 Visa
  - i. Corporate Information
  - Table 1.21: Visa Revenue ($m), 2023-2025
  - ii. Geographical Spread
  - iii. Key Clients & Strategic Partnerships
  - iv. High-level View of Offerings
  - v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
  - Table 1.22: Juniper Research Competitor Leaderboard Scoring Criteria: Banking Fraud Prevention
1.4 Related Research

3. Data & Forecasting Table of Contents

1. Market Overview

1.1 Introduction
1.2 Definitions & Scope
- 1.2.1 Forecast Introduction
- 1.2.2 Methodology & Assumptions
  - i. Methodology
  - ii. Assumptions
  - Figure 1.1: Banking Fraud Prevention Market 2026-2031: Forecast Methodology

2. Forecast Summary

2.1 Issuer Fraud Prevention Forecast Summary
- 2.1.1 Number of Banks & Other FIs Using Fraud Detection & Prevention Solutions
- Figure & Table 2.1: Number of Banks & Other FIs Using Fraud Detection & Prevention Solutions, Split by 8 Key Regions, 2026-2031
- 2.1.2 Total Annual Spend on Fraud Detection & Prevention Solutions by Banks & FIs
- Figure & Table 2.2: Total Annual Spend on Fraud Detection & Prevention Solutions by Banks & FIs ($m), Split by 8 Key Regions, 2026-2031
- 2.1.3 Total Number of Fraudulent Transactions across Digital Banking & Money Transfers
- Figure & Table 2.3: Total Number of Fraudulent Transactions across Digital Banking & Money Transfers (m), Split by 8 Key Regions, 2026-2031
- 2.1.4 Total Value of Fraudulent Transactions across Banking & Money Transfers
- Figure & Table 2.4: Total Value of Fraudulent Banking & Money Transfer Transactions ($m), Split by 8 Key Regions, 2026-2031

3. Banks & Other Financial Institutions

3.1.1 Number of Banks and Credit Unions Using Fraud Detection & Prevention Solutions
Figure & Table 3.1: Banks & Credit Unions Using Fraud Detection & Prevention Solutions, Split by 8 Key Regions, 2026-2031
3.1.2 Total Spend by Banks & Credit Unions on Fraud Detection & Prevention Solutions
Figure & Table 3.2: Total Spend by Banks & Credit Unions on Fraud Detection & Prevention Solutions ($m), Split by 8 Key Regions, 2026-2031

4. Fintechs

4.1.1 Number of Fintechs Using Fraud Detection & Prevention Solutions
Figure & Table 4.1: Number of Fintechs Using Fraud Detection & Prevention Solutions, Split by 8 Key Regions, 2026-2031
4.1.2 Total Spend by Fintechs on Fraud Detection & Prevention Solutions
Figure & Table 4.2: Total Spend by Fintechs on Fraud Detection & Prevention Solutions ($m), Split by 8 Key Regions, 2026-2031

5. Investment Companies

5.1.1 Number of Investment Companies Using Fraud Detection & Prevention Solutions
Figure & Table 5.1: Number of Investment Companies Using Fraud Detection & Prevention Solutions, Split by 8 Key Regions, 2026-2031
5.1.2 Total Spend by Investment Companies on Fraud Detection & Prevention Solutions
Figure & Table 5.2: Total Fraud Detection & Prevention Spend by Investment Companies ($m), Split by 8 Key Regions, 2026-2031

6. Lenders

6.1.1 Number of Lenders Using Fraud Detection & Prevention Solutions
Figure & Table 6.1: Number of Lenders Using Fraud Detection & Prevention Solutions, Split by 8 Key Regions, 2026-2031
6.1.2 Total Spend by Lenders on Fraud Detection & Prevention Solutions
Figure & Table 6.2: Total Spend by Lenders on Fraud Detection & Prevention Solutions ($m), Split by 8 Key Regions, 2026-2031

7. Fraudulent Transactions in Digital Banking & Money Transfers

7.1.1 Total Number of Fraudulent Transactions in Digital Banking
Figure & Table 7.1: Total Number of Fraudulent Transactions in Digital Banking (m), Split by 8 Key Regions, 2026-2031
7.1.2 Total Value of Fraudulent Transactions in Digital Banking
Figure & Table 7.2: Total Value of Fraudulent Transactions in Digital Banking ($m), Split by 8 Key Regions, 2026-2031
7.1.3 Total Number of Fraudulent Transactions in Money Transfer
Figure & Table 7.3: Total Number of Fraudulent Transactions in Money Transfer (m), Split by 8 Key Regions, 2026-2031
7.1.4 Total Value of Fraudulent Transactions in Money Transfer
Figure & Table 7.4: Total Value of Fraudulent Transactions in Money Transfer ($m), Split by 8 Key Regions, 2026-2031