The global online payment fraud detection market is projected to increase from USD 7.8 billion in 2024 to USD 20.6 billion by 2030, reflecting a strong 17.7% CAGR over 2026–2030 as digital commerce and electronic payments continue to expand.
This market comprises technologies and services that detect, prevent, and mitigate fraudulent activity in electronic financial transactions, including card-not-present payments, digital wallets, and account-to-account transfers. Growth is propelled by the rapid rise in e-commerce and digital payment volumes, which enlarges the overall attack surface, and by the escalating sophistication and frequency of cyberattacks targeting consumers, merchants, and financial institutions.
A primary demand driver is the sustained surge in online and mobile transactions as commerce shifts from physical to digital channels. Higher transaction counts naturally create more opportunities for fraudulent behavior, compelling merchants, payment processors, and banks to adopt advanced fraud detection tools that can monitor activity in real time and reduce chargebacks, losses, and customer friction.
At the same time, attackers are continuously refining their methods—leveraging techniques such as phishing, social engineering, synthetic identities, deepfakes, and generative AI—to bypass traditional rule-based defenses. The growing complexity and volume of such scams underscore the need for intelligent, adaptive detection platforms capable of spotting subtle anomalies and evolving patterns, pushing organizations toward more sophisticated, data-driven solutions.
However, the requirement for constant innovation in detection techniques also poses a challenge for market participants. Vendors must invest heavily in research and development to keep pace with rapidly changing fraud tactics, and there can be lag time between the emergence of a new attack vector and the deployment of effective countermeasures. This ongoing arms race raises costs and can temporarily erode the effectiveness of deployed systems.
Because fraud losses continue to grow despite significant investments, some organizations hesitate to commit to long-term contracts or large-scale deployments if they fear that solutions may quickly become outdated. This uncertainty can slow decision cycles, constrain budgets, and limit the full realization of the market’s growth potential, even as the threat environment becomes more acute.
A key trend reshaping the sector is the deep integration of artificial intelligence and machine learning into fraud detection platforms. These technologies enable continuous analysis of massive transaction datasets, device fingerprints, and behavioral signals to identify complex patterns and emerging fraud schemes, moving defenses from reactive rules to proactive, self-learning models that reduce false positives and improve detection accuracy.
Another important trend is the adoption of advanced digital identity verification and authentication methods, including biometrics and behavioral analytics, to ensure that users are who they claim to be during onboarding and payment flows. Multi-layered identity frameworks help mitigate risks such as account takeover and synthetic identity fraud, building greater trust in digital channels and strengthening the overall security stack around online payments.
Within the broader market, the mobile payment segment is experiencing the fastest growth. As consumers increasingly rely on smartphones and digital wallets for everyday transactions, fraudsters focus more attention on mobile channels, exploiting app vulnerabilities, social engineering, and device compromise to execute attacks such as account takeovers and unauthorized transfers.
In response, financial institutions, payment providers, and app developers are investing in specialized mobile fraud detection tools that analyze device behavior, app telemetry, geolocation, and user interactions to detect suspicious activity in real time. Heightened regulatory scrutiny of digital payment apps further reinforces the need for robust, mobile-focused fraud prevention capabilities, accelerating adoption of advanced solutions in this segment.
By Solution
Fraud Analytics
Authentication
Reporting & Visualization
By Mode
E-payment
Mobile payment
Card payment
By Region
North America
Europe
South America
Middle East & Africa
Asia Pacific
Key Companies
Kount, Inc.
Pindrop Security
Whitepages Inc.
Visa Inc.
ClearSale LLC
Imperva, Inc.
Accertify Inc.
PayPal Holdings, Inc.
Sift Science, Inc.
F5, Inc.
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USD 7.8 Billion
North America
Mobile payment
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