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Fraud Detection & Prevention in Banking Market 2025-2030: Full Research Suite

Publisher Juniper Research
Published Aug 18, 2025
Length 108 Pages
SKU # JNRH20314593

Description

Our Fraud Detection and Prevention in Banking research suite provides a comprehensive and in-depth analysis of the types of fraud, and methods that can be used to overcome them. This enables stakeholders such as banks, financial institutions, and fintechs to understand future growth, key trends and the competitive environment. The report evaluates emerging elements of banking fraud, highlights key market trends, and examines regional opportunities in fraud solution adoption.

The suite includes several different options that can be purchased separately, including access to data mapping the future spend on fraud solutions by financial institutions, an insightful study uncovering the latest trends and opportunities within the fraud prevention market, and a document containing extensive analysis of the 15 market leaders facilitating fraud prevention solutions. 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 fraud landscape; 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.

Please note: the online download version of this report is for a global site license.

Table of Contents

108 Pages
MARKET TRENDS & STRATEGIES
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 and Scope
2.2 Types of Fraud
Figure 2.1: Types of Fraud
2.2.1 First-party Fraud
i. Application Fraud and 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 AI-driven Fraud
2.2.7 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 and Financial Uncertainty
2.4.3 Technological Advancement
2.4.4 Urgent Need to Protect the ‘Underbanked’
2.4.5 Rapidly Evolving Fraud Landscape
2.4.6 Cyber Security Talent Shortage
3. Sector Analysis: Payment Types
3.1 Payment Types
3.1.1 Open Banking
i. Avenues of Fraud Through Open Banking
ii. How Open Banking Can Help Prevent Banking Fraud
3.1.2 Buy Now, Pay Later
3.1.3 CBDCs
3.1.4 Cryptocurrency
3.1.5 Instant Payments
3.1.6 Money Transfer
3.1.7 QR Codes
i. Avenues of Fraud Via QR Code Payments
ii. How QR Code Payments Can Reduce Fraud
4. Solutions & Opportunities
4.1 Solutions & Opportunities
4.1.1 AI
i. Advantages of AI in Fraud Detection and Prevention
ii. Disadvantages of AI in Fraud Detection and Prevention
4.1.2 Machine Learning
i. Advantages of Machine Learning in Fraud Detection and Prevention
ii. Disadvantages of ML in Fraud Detection and Prevention
4.1.3 APIs
i. Advantages of APIs in Fraud Detection and Prevention
ii. Disadvantages of APIs in Fraud Detection and Prevention
4.1.4 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
4.2 Regulations
4.2.1 UK Faster Payments Regulation
4.2.2 PSD2
4.2.3 Brazil’s PIX Instant Payment Regulation
4.2.4 India’s UPI and Real-time Payment Regulation
5. Segment Analysis: Business Verticals
5.1 Segment Analysis
5.1.1 Introduction
5.1.2 Banks and Credit Unions
5.1.3 Fintechs
5.1.4 Lenders
5.1.5 Investment Companies
5.1.6 Value-added Services
5.1.7 Invoice Financing
5.1.8 Accounts Payable (AP) and Accounts Receivable (AR) Automation
5.1.9 Trade Financing
5.1.10 Cashflow Forecasting and Analytics
5.1.11 Reconciliation Services 36
COMPETITOR LEADERBOARD
1. Competitor Leaderboard
1.1 Why Read This Report
Figure 1.1: Juniper Research Competitor Leaderboard: Fraud Detection & Prevention in Banking Vendor Product Portfolio
Figure 1.2: Juniper Research Leaderboard: Fraud Detection & Prevention in Banking Vendors
Table 1.3: Juniper Research Leaderboard: Fraud Detection & Prevention in Banking Vendor Positioning
Figure 1.4: Juniper Research Leaderboard Heatmap: Fraud Detection & Prevention in Banking Vendors
1.2 Issuer 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
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
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
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
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 Fiserv
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
1.2.8 Hawk
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
1.2.9 LexisNexis Risk Solutions
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
1.2.10 Mastercard
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
1.2.11 SEON
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
1.2.12 Thales
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
1.2.13 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
1.2.14 TransUnion
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
1.2.15 Visa
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 32
MARKET DATA & FORECASTS
1. Market Overview
1.1 Introduction
1.2 Definitions and Scope
1.2.1 Forecast Introduction
1.2.2 Methodology & Assumptions
i. Methodology
ii. Assumptions
Figure 1.1: Fraud Detection & Prevention in Banking Market 2025-2030: Forecast Methodology
2. Forecast Summary
2.1 Issuer Fraud Prevention Forecast Summary
2.1.1 Number of Banks and Other Financial Institutions Using Fraud Detection & Prevention Solutions
Figure & Table 2.1: Number of Banks & FIs Using FDP Solutions, Split by 8 Key Regions, 2025-2030
2.1.2 Total Annual Spend on Fraud Detection & Prevention Solutions by Banks & FIs
Figure & Table 2.2: Total Annual Spend on FDP Solutions by Banks & FIs ($m), Split by 8 Key Regions, 2025-2030
2.1.3 Total Number of Fraudulent Transactions across Digital Banking and Money Transfers
Figure & Table 2.3: Total Number of Fraudulent Transactions across Digital Banking and Money Transfer (m), Split by 8 Key Regions, 2025-2030
2.1.4 Total Value of Fraudulent Transactions across Banking and Money Transfers
Figure & Table 2.4: Total Value of Fraudulent Banking & Money Transfer Transactions ($m), Split by 8 Key Regions, 2025-2030
3. Banks and 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 FDP Solutions, Split by 8 Key Regions, 2025-2030
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 FDP Solutions ($m), Split by 8 Key Regions, 2025-2030
4. Fintechs
4.1.1 Number of Fintechs Using Fraud Detection & Prevention Solutions
Figure & Table 4.1: Number of Fintechs Using FDP Solutions, Split by 8 Key Regions, 2025-2030
4.1.2 Total Spend by Fintechs on Fraud Detection & Prevention Solutions
Figure & Table 4.2: Total Spend by Fintechs on FDP Solutions ($m), Split by 8 Key Regions, 2025-2030
5. Investment Companies
5.1.1 Number of Investment Companies Using Fraud Detection & Prevention Solutions
Figure & Table 5.1: Number of Investment Companies Using FDP Solutions, Split by 8 Key Regions, 2025-2030
5.1.2 Total Spend by Investment Companies on Fraud Detection & Prevention Solutions
Figure & Table 5.2: Total FDP Spend by Investment Companies ($m), Split by 8 Key Regions, 2025-2030
6. Lenders
6.1.1 Number of Lenders Using Fraud Detection & Prevention Solutions
Figure & Table 6.1: Number of Lenders Using FDP Solutions, Split by 8 Key Regions, 2025-2030
6.1.2 Total Spend by Lenders on Fraud Detection & Prevention Solutions
Figure & Table 6.2: Total Spend by Lenders on FDP Solutions ($m), Split by 8 Key Regions, 2025-2030
7. Fraudulent Transactions in Banking and 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, 2025-2030
7.1.2 Total Value of Fraudulent Transactions in Digital Banking
Figure & Table 7.2: Total Value of Fraudulent Transactions in Digital Banking ($m), Split by 8 Key Regions, 2025-2030
7.1.3 Total Number of Fraudulent Transactions in Money Transfer
Figure & Table 7.3: Total Number of Fraudulent Transactions in Money Transfer (m), Split by 8 Key Regions, 2025-2030
7.1.4 Total Fraudulent Transactions Value in Money Transfer
Figure & Table 7.4: Total Fraudulent Transactions Value ($m), Split by 8 Key Regions, 2025-2030

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