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Fraud Detection & Prevention in Banking Market 2025-2030: Market Trends and Strategies

Publisher Juniper Research
Published Aug 18, 2025
Length 40 Pages
SKU # JNRH20314597

Description

This report examines the Fraud Detection and Prevention in Banking market landscape in depth; assessing trends and factors shaping the evolution of this rapidly growing market. The report delivers comprehensive analysis of the strategic opportunities for vendors providing fraud prevention solutions; addressing key verticals such as banks, credit unions, fintechs, investment companies, and lenders. This report also includes evaluation of key country-level opportunities for stakeholders in the fraud prevention market.

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

Table of Contents

40 Pages
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

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