New Study Projects Merchants’ Losses from Online Payments Fraud to Soar

BASINGSTOKE, U.K. –A new study from Juniper Research is forecasting that merchant losses from online payment fraud will exceed $362 billion globally between 2023 to 2028, with losses of $91 billion alone in 2028.

“A rise in eCommerce transactions in emerging markets is driving this growth. Merchants there are facing new threats, such as an increased use of AI for attacks,” Juniper Research said in releasing its findings, noting the different fraud strategies include phishing or account takeover.

The findings are included in the report, Online Payment Fraud: Market Forecasts, Emerging Threats & Segment Analysis 2023-2028. A free sample is available for download.

As part of the study, Juniper Research also released its latest Competitor Leaderboard for 2023.

“Underpinned by a robust scoring methodology, the new Competitor Leaderboard ranked the top 21 fraud detection and prevention vendors, using criteria such as the relative size of their customer base, completeness of their solutions and their future business prospects,” Juniper said.

According to the company, the top five vendors for 2023:

  • LexisNexis Risk Solutions
  • Experian
  • ACI Worldwide
  • Visa
  • FICO

Breadth of Offerings

“The research found that the leading players scored well based on the breadth of their anti-fraud orchestration capabilities, as well as their use of AI for analyzing trends in fraudster behavior,” Juniper said.

In order to stay ahead of the competition, Juniper said vendors must utilize data collected throughout the eCommerce process to further develop their fraud detection and prevention solutions through training and advancing AI models.

“Fraud detection and prevention providers must educate their clients in the importance of data sharing, in order for the highest accuracy within their solutions,” said research author Cara Malone. “This is increasingly important with the growing use of AI, as it utilizes a variety of data to examine patterns within fraud, which is extremely advantageous in a space where fraudsters usually attack at scale, rather than attacking a specific customer.”

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