Businesses in ecommerce, airline ticketing, money transfer and banking services will collectively lose over $200 billion to online payment fraud between 2020 and 2024, driven by the increased sophistication of fraud attempts and the rising number of attack vectors, according to Juniper Research.
The continued high level of data breaches and innovation in fraud techniques will drive the losses.
The new research, Online Payment Fraud: Emerging Threats, Segment Analysis & Market Forecasts 2020-2024, found that the increasing ubiquity of digital payments provides an ever-increasing attack surface for fraudsters. The research recommends that payments industry stakeholders focus on an omnichannel approach to mitigate these challenges. This approach must encompass both strict cybersecurity at access points, as well as analytics such as machine learning, to identify fraudulent behavioural patterns.
- For more market insights, download the free whitepaper: ‘Fighting Online Payment Fraud in 2020’.
The research found that machine learning has become a crucial tool in the fraud detection and prevention arsenal, as it enables payments industry stakeholders to analyse transaction flows in a holistic way, unlocking hidden insights on fraudulent behaviours. The incorporation of machine learning into fraud detection and prevention software will drive spending forward, reaching $10 billion in 2024 — a 15 per cent increase on 2020.
Research co-author Nick Maynard explained: “The rapidly evolving nature of payment fraud and increased sophistication in attack methods requires machine learning adoption at scale, in order to minimise risk. Constant innovation in analytics and data models is increasingly essential to constraining fraudulent behaviours in payments.”
The research also found that digital money transfer is a growing area for payment fraud, with losses expected to grow by 130 per cent from 2020 to 2024. Digital money transfer fraud is particularly strong in emerging markets, with payments vulnerable to SIM swapping fraud and synthetic identities, with less robust security measures in place. The research therefore recommends that ongoing KYC (Know Your Customer) verification, including events-based re-verification following onboarding, are elements that are essential to secure the rising levels of digital transactions.