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eCommerce Fraud Prevention Market 2025-2030: Full Research Suite

Publisher Juniper Research
Published Dec 01, 2025
Length 150 Pages
SKU # JNRH20611198

Description

Our eCommerce Fraud Prevention research suite provides a detailed and insightful analysis of this evolving market; enabling stakeholders from financial institutions, law enforcement agencies, regulatory bodies and technology vendors to understand future growth, key trends, and the competitive environment.

The suite includes several different options that can be purchased separately, including access to data mapping adoption and future growth of the eCommerce fraud prevention market. The research is an insightful study uncovering the latest trends and opportunities within the market and providing extensive analysis of the 21 market leaders in the fight against eCommerce fraud. The coverage can also be purchased as a full research suite, containing all of these elements, and including a substantial discount.

Collectively, these documents provide a critical tool for understanding this rapidly emerging market; enabling merchants, payment service providers, banks and technology vendors to shape their future strategy. Its unparalleled coverage makes this research an incredibly useful resource for charting the future of such an uncertain and rapidly growing market.

KEY FEATURES

Market Dynamics: Insights into key trends and market expansion challenges within the eCommerce fraud prevention market. The research includes a Country Readiness Index; providing analysis on where the best opportunities lie for eCommerce fraud prevention adoption across over 60 countries. It also includes analysis of current developments across 6 different segments of the eCommerce fraud market, and an assessment of eCommerce fraud prevention regulations across key regions. The report addresses challenges posed by increasingly complex financial crimes, the potential benefits of increasing regulatory involvement, and an assessment of the many next-generation technological approaches to detect fraudulent activity.
Key Takeaways & Strategic Recommendations: In-depth analysis of key development opportunities and findings within the eCommerce fraud prevention market, accompanied by key strategic recommendations for stakeholders.
Benchmark Industry Forecasts: Global eCommerce fraudulent transaction spend assessed across 7 key eCommerce segments, including Airline Tickets, Digital Goods & Physical Goods and the total Fraud Detection and Prevention (FDP) spend by eCommerce merchants.
Juniper Research Competitor Leaderboard: Key player capability and capacity assessment for 21 eCommerce Fraud Prevention vendors, via the Juniper Research Competitor Leaderboard.

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

Table of Contents

150 Pages
MARKET TRENDS & STRATEGIES
1. Key Takeaways & Strategic Recommendations
1.1 Key Takeaways
1.2 Strategic Recommendations
2. Market Landscape
2.1 Introduction
2.2 Definitions & Scope
2.3 Types of Merchant Fraud
Figure 2.1: Visualisation of Merchant Fraud
2.3.1 First-party Fraud
i. Chargeback Fraud
ii. Friendly Fraud
iii. Policy Abuse
2.3.2 ATO Fraud
2.3.3 Other Types of Fraud
i. Clean Fraud
ii. Affiliate Fraud
iii. Botnets
iv. Triangulation Fraud
Figure 2.2: Visualisation of Triangulation Fraud
v. Synthetic Identity Fraud
2.4 Solutions Used in Merchant Fraud Detection & Prevention
2.4.1 Merchant Fraud Detection & Prevention Tools
Figure 2.3: Methods of Merchant Fraud Prevention
i. Biometrics
ii. Behavioural Analytics
iii. Tokenisation
iv. APIs
v. 3D Secure Authentication 2.0
2.5 Physical & Digital Goods
Figure 2.4: Total Value of Fraudulent CNP Transactions Globally ($m), Split by 8 Key Regions, 2025-2030
2.5.1 Remote Physical Goods
Figure 2.5: Total Value of Fraudulent Remote Physical Goods Purchases Globally ($m), Split by 8 Key Regions, 2025-2030
2.5.2 Remote Digital Goods
Figure 2.6: Total Value of Fraudulent Remote Digital Goods Purchases Globally ($m), Split by 8 Key Regions, 2025-2030
3. Emerging Merchant Fraud Prevention Market
3.1 Key Themes & Areas Involved
3.2 Key Trends & Current Market Drivers
3.2.1 Rapid Rise of eCommerce
3.2.2 Emerging Fraudulent Methods & Tactics
i. Generative AI
ii. FaaS
3.2.3 Customers Are Poorly Educated on New Technologies
3.2.4 Deepfakes
3.2.5 Cutting Business Costs
3.3 BNPL
i. BNPL Fraud Methods
ii. BNPL Fraud Prevention Methods
3.4 Technologies
3.4.1 AI
i. Benefits of AI in Merchant Fraud Prevention
Figure 3.1: AI Benefits in Merchant Fraud Prevention
ii. Drawbacks of AI in Merchant Fraud Prevention
3.4.2 ML
i. Benefits of ML in Merchant Fraud Prevention
ii. Drawbacks of ML in eCommerce Fraud Prevention
3.4.3 eCommerce Fraud Prevention APIs
3.5 PSD2
3.5.1 How PSD2 Affects Merchants
3.6 3DS2 & Biometric Authorisation of Transactions
3.6.1 Methods of Authentication
i. OTPs
ii. Biometrics
Figure 3.2: Types of Biometric Authentication
3.6.2 3DS2 Implications
4. Segment Analysis
4.1 Introduction
4.1.1 Different Merchants That Are Affected by Fraud
i. Generalist Retailers
ii. Specialist Retailers
iii. Streaming Services
iv. Hospitality
4.2 Remote Digital & Physical Goods
4.2.1 Digital Goods
Figure 4.1: Total Number of Transactions for Remote Digital Goods (m), Split by 8 Key Regions, 2025-2030
i. Video Games
ii. Music
iii. Video
iv. Ticketing
4.2.2 Physical Goods
Figure 4.2: Total Value of Remote Physical Goods Transactions Globally ($m), Split by 8 Key Regions, 2025-2030
4.3 Key Challenges
4.3.1 Organised Fraud
i. Scattered Spider
ii. AI Music Streaming Scam
4.3.2 Lack of Physical Biometrics
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: eCommerce Fraud Prevention
Figure 5.3: Juniper Research Country Readiness Index: eCommerce Fraud Prevention Market 2025
Figure 5.4: eCommerce Fraud Prevention Market Country Readiness Index: Market Segments
5.2 Focus Markets
5.2.1 Convergence of Fraud, Identity, and Payment Risk
5.2.2 Fraud Prevention as Part of Broader Digital Commerce Strategy
5.2.3 Country-level Assessment: US
5.3 Growth Markets
5.3.1 Country-level Assessment: The UK
5.4 Saturated Markets
5.5 Developing 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
Table 5.8: Juniper Research Country Readiness Index Heatmap: Central & East Europe
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
Figure 5.12: Juniper Research Country Readiness Index Heatmap: Africa & Middle East 54
COMPETITOR LEADERBOARD
1. Juniper Research Competitor Leaderboard
1.1 Why Read This Report?
Figure 1.1: Juniper Research Competitor Leaderboard Vendors: eCommerce Fraud Detection & Prevention
Figure 1.2: Juniper Research Competitor Leaderboard: eCommerce Fraud Detection & Prevention Vendors
Table 1.3: Juniper Research Competitor Leaderboard: eCommerce Fraud Detection & Prevention Vendors
Table 1.4: Juniper Research Heatmap: eCommerce Fraud Detection & Prevention Vendors
2. Vendor Profiles
2.1 eCommerce Fraud Detection & Prevention Vendor Profiles
2.1.1 Accertify
i. Corporate
ii. Geographical Spread
iii. Key Clients & Strategic Partnerships
iv. High-level View of Offerings
Figure 2.1: Accertify’s Four Key Areas for Chargeback Management
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
2.1.2 ACI Worldwide
i. Corporate
Table 2.2: ACI Worldwide Revenue ($m), 2022-2024
ii. Geographical Spread
iii. Key Clients & Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
2.1.3 ClearSale
i. Corporate
Table 2.3: ClearSale Revenue ($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
2.1.4 DataDome
i. Corporate
Table 2.4: Discover Financial Services Revenue ($m), 2018-2023
ii. Geographical Spread
iii. Key Clients & Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
2.1.5 Discover Financial Services
i. Corporate
Figure 2.5: Discover Financial Services Revenue ($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
2.1.6 Experian
i. Corporate
Table 2.6: Experian Financial Snapshot ($m), 2022-2025
ii. Geographical Spread
iii. Key Clients & Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
2.1.7 Forter
i. Corporate
ii. Geographical Spread
iii. Key Clients & Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
2.1.8 Fraudio
i. Corporate
Figure 2.7: Fraudio Funding Rounds ($m), 2020-2023
ii. Geographical Spread
iii. Key Clients & Strategic Partnerships
iv. High-level View of Offerings
Figure 2.8: Fraudio’s Centralised ML AI Brain
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
2.1.9 FraudNet
i. Corporate
Figure 2.9: FraudNet Funding Rounds ($m), 2018-2023
ii. Geographical Spread
iii. Key Clients & Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
2.1.10 Kount
i. Corporate
ii. Geographical Spread
iii. Key Clients & Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
2.1.11 MangoPay
i. Corporate
ii. Geographical Spread
iii. Key Clients and Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
2.1.12 Mastercard
i. Corporate
Figure 2.10: Mastercard Revenue ($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
2.1.13 Riskified
i. Corporate
Table 2.11: Riskified Revenue ($m), 2022-2024
ii. Geographical Spread
iii. Key Clients and Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
2.1.14 RSA Security
i. Corporate
ii. Geographical Spread
iii. Key Clients and Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
2.1.15 SEON
i. Corporate
Figure 2.12: SEON Investment Rounds, 2018-2025
ii. Geographical Spread
iii. Key Clients and Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
2.1.16 Sift
i. Corporate
Table 2.13: Sift Funding Rounds: 2013-2022
ii. Geographical Spread
iii. Key Clients and Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
2.1.17 Signifyd
i. Corporate
Figure 2.14: Signifyd’s Investment Rounds ($m), 2012-2021
ii. Geographical Spread
iii. Key Clients and Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
2.1.18 TransUnion
i. Corporate
Table 2.15: TransUnion Revenue ($m), 2022-2024
ii. Geographical Spread
iii. Key Clients and Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
2.1.19 Vesta
i. Corporate
Figure 2.16: Vesta Investment Rounds ($m), 2003-2025
ii. Geographical Spread
iii. Key Clients and Strategic Partnerships
iv. High-level View of Offerings
Figure 2.17: Visualisation Displaying Vesta’s Payment Guarantee
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
2.1.20 Visa Acceptance Solutions
i. Corporate
Table 2.18: Visa Revenue ($m), 2022-2024
ii. Geographical Spread
iii. Key Clients and Strategic Partnerships
iv. High-level View of Offerings
Figure 2.19: How Visa Acceptance Solutions’ Payer Authentication Works
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
2.1.21 Worldpay
i. Corporate
ii. Geographical Spread
iii. Key Clients and Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities
2.2 Juniper Research Leaderboard Assessment Methodology
2.2.1 Limitations & Interpretations
Table 2.21: Juniper Research eCommerce Fraud Prevention Assessment Criteria
2.3 Related Research 50
MARKET DATA & FORECASTING
1. eCommerce Fraud Prevention Forecast Methodology
1.1 Methodology & Assumptions
Figure 1.1: Airline Tickets Forecast Methodology
Figure 1.2: Remote Digital Goods Forecast Methodology
Figure 1.3: Remote Physical Goods Forecast Methodology
Figure 1.4: FDP Software Forecast Methodology
2. Airline Tickets Forecast
2.1 Online Airline eTickets
2.1.1 Total Number of Online Airline eTickets Issued per annum
Figure & Table 2.1: Total Number of Online Airline eTickets Issued Globally per annum (m), Split by 8 Key Regions, 2025-2030
2.1.2 Total Number of Fraudulent Online Airline eTickets Issued
Figure & Table 2.2: Total Number of Fraudulent Online Airline eTickets Issued Globally (m), Split by 8 Key Regions, 2025-2030
2.1.3 Total Value of Fraudulent Online Airline eTicket Transactions
Figure & Table 2.3: Total Value of Fraudulent Online Airline eTicket Transactions Globally ($m), Split by 8 Key Regions, 2025-2030
2.2 Mobile Airline mTickets
2.2.1 Total Number of Mobile Airline mTickets Issued per annum
Figure & Table 2.4: Total Number of Mobile Airline mTickets Issued per annum Globally (m), Split by 8 Key Regions, 2025-2030
2.2.2 Total Number of Fraudulent Mobile Airline mTickets Issued
Figure & Table 2.5: Total Number of Fraudulent Mobile Airline mTickets Issued Globally (m), Split by 8 Key Regions, 2025-2030
2.2.3 Total Value of Fraudulent Mobile Airline mTicket Transactions
Figure & Table 2.6: Total Value of Fraudulent Mobile Airline mTicket Transactions Globally ($m), Split by 8 Key Regions, 2025-2030
3. Remote Digital Goods Forecast
3.1 Online Remote Digital Goods
3.1.1 Total Transactions for Remote Online Digital Goods Purchases, Less Airline Tickets
Figure & Table 3.1: Total Number of Transactions for Remote Online Digital Goods Purchases, Less Airline Tickets, Globally (m), Split by 8 Key Regions, 2025-2030
3.1.2 Total Number of Fraudulent Remote Online Digital Goods Purchases
Figure & Table 3.2: Total Number of Fraudulent Remote Digital Goods Purchases Globally (m), Split by 8 Key Regions, 2025-2030
3.1.3 Total Value of Fraudulent Remote Online Digital Goods Transactions
Figure & Table 3.3: Total Value of Fraudulent Remote Online Digital Goods Transactions Globally ($m), Split by 8 Key Regions, 2025-2030
3.2 Mobile Remote Digital Goods
3.2.1 Total Transactions for Remote Mobile Digital Goods Purchases, Less Airline Tickets
Figure & Table 3.4: Total Number of Transactions for Remote Mobile Digital Goods Purchases, Less Airline Tickets, Globally (m), Split by 8 Key Regions, 2025-2030
3.2.2 Total Number of Fraudulent Remote Mobile Digital Goods Purchases
Figure & Table 3.5: Total Number of Fraudulent Remote Mobile Digital Goods Purchased Globally (m), Split by 8 Key Regions, 2025-2030
3.2.3 Total Value of Fraudulent Remote Mobile Digital Goods Transactions
Figure & Table 3.6: Total Value of Fraudulent Remote Mobile Digital Goods Transactions Globally ($m), Split by 8 Key Regions, 2025-2030
4. Remote Physical Goods Forecast
4.1 Remote Online Physical Goods
4.1.1 Total Transactions for Remote Online Physical Goods Purchases
Figure & Table 4.1: Total Transactions for Remote Online Physical Goods Purchases Globally (m), Split by 8 Key Regions, 2025-2030
4.1.2 Total Number of Fraudulent Remote Online Physical Goods Purchases
Figure & Table 4.2: Total Number of Fraudulent Remote Physical Goods Purchases Globally (m), Split by 8 Key Regions, 2025-2030
4.2 Remote Mobile Physical Goods
4.2.1 Total Transactions for Remote Mobile Physical Goods Purchases
Figure & Table 4.3: Total Transactions for Remote Mobile Physical Goods Purchases Globally (m), Split by 8 Key Regions, 2025-2030
4.2.2 Total Number of Fraudulent Remote Mobile Physical Goods Purchases
Figure & Table 4.4: Total Number of Fraudulent Remote Mobile Physical Goods Purchases (m), Split by 8 Key Regions, 2025-2030
4.2.3 Total Value of Fraudulent Remote Mobile Physical Goods Transactions
Figure & Table 4.5: Total Value of Fraudulent Remote Mobile Physical Goods Transactions Globally ($m), Split by 8 Key Regions, 2025-2030
5. FDP Software Forecast
5.1 FDP Spend
5.1.1 Number of eCommerce Merchants That Spend on FDP
Figure & Table 5.1: Number of eCommerce Merchants That Spend on FDP Globally (m), Split by 8 Key Regions, 2025-2030
5.1.2 Total Value of eCommerce CNP Transactions, Including Airlines
Figure & Table 5.2: Total Value of eCommerce CNP Transactions, Including Airlines, Globally ($m), Split by 8 Key Regions, 2025-2030
5.1.3 Total FDP Spend by eCommerce Merchants
Figure & Table 5.3: Total FDP Spend by eCommerce Merchants Globally ($m), Split by 8 Key Regions, 2025-2030

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