The online payment fraud detection market size is expected to see rapid growth in the next few years. It will grow to $23.84 billion in 2030 at a compound annual growth rate (CAGR) of 16.3%. The growth in the forecast period can be attributed to increasing sophistication of cyber fraud techniques, rising demand for real-time fraud prevention, expansion of digital wallets and instant payments, growing regulatory scrutiny on payment security, continuous advancement in machine learning algorithms. Major trends in the forecast period include increasing adoption of ai-driven fraud detection models, rising use of behavioral biometrics in payments, growing integration of real-time transaction monitoring, expansion of multi-layer authentication frameworks, enhanced focus on cross-channel fraud prevention.
The rapid growth of digital payments is expected to drive the expansion of the online payment fraud detection market. Digital payments involve the use of electronic methods such as mobile wallets, online banking, and contactless cards to conduct financial transactions. This surge in digital payment adoption is largely fueled by increased smartphone and internet usage, allowing users to perform instant transactions worldwide with convenience and speed. Online payment fraud detection plays a critical role in securing these transactions by leveraging AI and analytics to detect and prevent suspicious activity in real time, thereby enhancing trust, minimizing financial losses, and ensuring secure, compliant payment experiences. For instance, in January 2024, the European Central Bank, the central bank for the European Union countries, reported a 24.3% increase in contactless card payments during the first half of 2023, rising from 20.9 billion in the same period of 2022. The total value of these transactions also grew by 25.9% to €0.5 trillion ($545.27 billion). Thus, the rapid expansion of digital payments is fueling growth in the online payment fraud detection market.
Major companies operating in the online payment fraud detection market are focusing on developing advanced technologies, such as AI-powered anomaly detection, to improve real-time monitoring, strengthen payment security, and minimize financial losses from increasingly sophisticated fraud schemes. AI-powered anomaly detection is a technology that analyzes large volumes of transaction data to identify unusual patterns, flag suspicious activities, and enable proactive decision-making by financial institutions. For example, in October 2024, the Society for Worldwide Interbank Financial Telecommunications (SWIFT), a Belgium-based financial messaging cooperative, launched its AI-enhanced fraud detection service to help banks detect and prevent potential financial crimes across cross-border payments. Available from January 2025, the solution utilizes pseudonymized data from billions of annual payment transactions to identify anomalies in real time and employs advanced federated learning techniques to enable collaborative, privacy-preserving fraud detection across more than 11,500 financial institutions globally. Designed to enhance trust and resilience in international payments, the system provides banks with more accurate insights to counter evolving fraud tactics and safeguard global financial flows.
In April 2025, Experian Plc, a credit reporting firm based in Ireland, acquired ClearSale SA for $350 million. The acquisition is intended to enhance Experian’s fraud prevention and data security offerings in Brazil by integrating ClearSale into its existing Brazilian business, Serasa Experian. ClearSale SA is a Brazil-based company that specializes in digital fraud prevention solutions.
Major companies operating in the online payment fraud detection market are International Business Machines Corporation, Visa Inc., DXC Technology Company, Experian plc, SAS Institute Inc., LexisNexis Risk Solutions Inc., NICE Ltd., Worldpay Inc., ACI Worldwide Inc., Fair Isaac Corporation, Forter Ltd., RSA Security LLC, Riskified Ltd., CyberSource Corporation, Sift Science Inc., Kount Inc., Gurucul Inc., FRISS Fraud Detection Software B.V., MaxMind Inc., DataVisor Inc., Cleafy S.r.l.
North America was the largest region in the online payment fraud detection market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the online payment fraud detection market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the online payment fraud detection market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The online payment fraud detection market includes of revenues earned by entities by providing services such as real-time transaction monitoring, Artificial Intelligence (AI)-based fraud analytics, behavioral biometrics, identity verification, and risk scoring and management. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
Online Payment Fraud Detection Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses online payment fraud detection market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for online payment fraud detection? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The online payment fraud detection market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component: Software; Services2) By Deployment Mode: on-Premises; Cloud
3) By Fraud Type: Identity Theft; Account Takeover; Card Not Present Fraud; Transaction Laundering
4) By Organization Size: Small and Medium Enterprises; Large Enterprises
5) By Vertical: Banking, Financial Services, and Insurance (BFSI); Information Technology (IT) and Telecommunications (Telecom); Government; Real Estate and Construction; Energy and Utilities; Other Verticals
Subsegments:
1) By Software: Fraud Analytics; Authentication; Reporting and Visualization; Risk and Compliance Management2) By Services: Professional Services; Managed Services
Companies Mentioned: International Business Machines Corporation; Visa Inc.; DXC Technology Company; Experian plc; SAS Institute Inc.; LexisNexis Risk Solutions Inc.; NICE Ltd.; Worldpay Inc.; ACI Worldwide Inc.; Fair Isaac Corporation; Forter Ltd.; RSA Security LLC; Riskified Ltd.; CyberSource Corporation; Sift Science Inc.; Kount Inc.; Gurucul Inc.; FRISS Fraud Detection Software B.V.; MaxMind Inc.; DataVisor Inc.; Cleafy S.r.l.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Online Payment Fraud Detection market report include:- International Business Machines Corporation
- Visa Inc.
- DXC Technology Company
- Experian plc
- SAS Institute Inc.
- LexisNexis Risk Solutions Inc.
- NICE Ltd.
- Worldpay Inc.
- ACI Worldwide Inc.
- Fair Isaac Corporation
- Forter Ltd.
- RSA Security LLC
- Riskified Ltd.
- CyberSource Corporation
- Sift Science Inc.
- Kount Inc.
- Gurucul Inc.
- FRISS Fraud Detection Software B.V.
- MaxMind Inc.
- DataVisor Inc.
- Cleafy S.r.l.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | January 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 13.02 Billion |
| Forecasted Market Value ( USD | $ 23.84 Billion |
| Compound Annual Growth Rate | 16.3% |
| Regions Covered | Global |
| No. of Companies Mentioned | 22 |


