Is there still room to automate a great deal of potential fraud? It seems so and AI is arguably the way to do it, depending how you pre-set the parameters of course. Here’s the word;
A new study from Juniper Research has found global business spend on AI-enabled financial fraud detection and prevention strategy platforms will exceed $10 billion globally in 2027; rising from just over $6.5 billion in 2022.
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.
- To find out more, see the new report: AI in Financial Fraud Detection: Key Trends, Competitor Leaderboard & Market Forecasts 2022-2027
- Download the free whitepaper: Fighting Financial Fraud with AI
Cost Savings to Drive AI Use
The research analysis predicts cost savings from AI deployment will be critical to taking system use beyond regulatory compliance. Providing genuine return on investment on fraud prevention services, with improving models and greater data access creating a virtuous circle of improvement.
It forecast growth of 285%, with cost savings reaching $10.4 billion globally in 2027, from $2.7 billion in 2022.
Research author Nick Maynard explained further: “By leveraging AI, businesses can shift their fraud management resource to where it matters, investigating key issues, rather than dealing with endless false positives, boosting efficiency.”
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