QKS Group reveals that the Enterprise Fraud Management (EFM) market is projected to grow at a compound annual growth rate (CAGR) of 11.01% through 2030.
Enterprise Fraud Management solutions provide organizations with a scalable and flexible framework to address a wide spectrum of fraud scenarios across enterprise levels. By analyzing user behavior and session activities at an individual level, EFM solutions help detect anomalies and suspicious patterns in real time. These platforms not only mitigate potential financial losses but also ensure regulatory compliance, enhance operational efficiency, and safeguard customer trust.
As competition intensifies in the digital era, enterprises must prioritize customer journey protection to sustain long-term profitability and maximize Customer Lifetime Value (CLTV). An agile, AI-driven, and scalable EFM platform is now an indispensable component of a resilient enterprise risk management strategy.
Modern Enterprise Fraud Management solutions focus on maintaining a seamless and frictionless customer experience by detecting fraud intelligently—without disrupting legitimate transactions. With the rise of neo-banks, peer-to-peer (P2P) payments, and Buy Now, Pay Later (BNPL) models, enterprises face increasing exposure to fraud risks. Consequently, deploying advanced EFM platforms has become critical to detect, prevent, and respond to a wide range of internal and external fraud threats.
Key Questions Addressed in This Study
What is the current and projected growth rate of the Enterprise Fraud Management (EFM) market?
Which factors are driving and restraining global EFM market expansion?
Which industries present the most significant growth opportunities over the forecast period?
Which regions are expected to see the highest adoption of EFM solutions?
Which customer segments hold the greatest potential for EFM solution adoption?
Which deployment models (cloud-based, on-premises, or hybrid) are expected to experience the fastest growth over the next five years?
Strategic Market Direction
To remain competitive, Enterprise Fraud Management vendors are expected to increase their R&D investments and continuously enhance their software capabilities and SaaS strategies to meet evolving customer needs. Vendors are focusing on building robust technology roadmaps that align with transformational trends such as Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP).
While many vendors target SMBs and mid-sized organizations with cost-effective solutions and core functionalities, large enterprises are seeking more comprehensive and integrated EFM platforms with advanced analytics, automation, and interoperability features. The ability to offer a truly unified, open, and intelligent fraud management platform will define vendor success in the coming years.
Vendors Covered in the Analysis
ACI Worldwide, BPC, Clari5, DataVisor, Eastnets, Experian, Featurespace, Feedzai, FICO, Fiserv, IBM, Kiya.AI, LexisNexis Risk Solutions, NICE Actimize, Outseer, RS Software, SAS, and SymphonyAI Sensa (NetReveal).
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