A new study from Juniper Research has found the global business spend on AI-enabled financial fraud detection and prevention strategy platforms will rise from just over $6.5bn in 2022 to $10bn by 2027.

Growing at 57% over the period, the report predicts that as fraudsters become more sophisticated in their attacks, merchants and issuers will become more adept at utilising highly advanced AI-enabled fraud detection methods to combat crime. The report identified the ability of AI to recognise fraudulent payment trends at scale as being critical to provide improved fraud prevention.

AI-enabled fraud detection and prevention market platforms use AI to monitor transactions and identify fraudulent transaction patterns, reducing fraud risks by blocking transactions in real-time.

The research analysis predicts cost savings from AI deployment will be critical to taking system use beyond regulatory compliance. It forecasts growth of 285%, with cost savings reaching $10.4bn globally in 2027, from $2.7bn in 2022.

Research author Nick Maynard explained further: “By leveraging AI, businesses can shift their fraud management resource to where it matters, investigating the key issues, rather than dealing with endless false positives, boosting efficiency.

Additionally, the fraud detection report found that AI is increasingly standard within financial fraud prevention services, making differentiation a challenge. The research recommends vendors focus on access to transaction and trends data, as gaining the best level of network intelligence will allow businesses to benefit from fraud information from beyond just their own transactions; significantly improving fraud prevention. The research recommends vendors make partnerships with third parties, such as credit bureaus and payment networks, to improve data coverage.

Juniper Research provides research and analytical services to the global hi-tech communications sector, providing consultancy, analyst reports and industry commentary.

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