According to the latest report by IMARC Group, titled “Enterprise Fraud Management Market Report by Solutions (Digital Banking and Payment Frauds, Card Frauds, Multi-Channel Fraud, Internal Threats/Employee Surveillance, Authentication Management), Deployment Type (On-Premises, Cloud-based, SaaS), Enterprise Size (Small Enterprises, Medium Enterprises, Large Enterprises), Application (BFSI, Government, Retail, Healthcare, Travel and Tourism, IT and Telecommunication, and Others), and Region 2025-2033,” the global enterprise fraud management market size reached USD 11.7 Billion in 2024. Enterprise fraud management (EFM) is a comprehensive system designed to proactively detect, prevent, and mitigate fraudulent activities within an organization. It serves as a safeguard against various forms of fraud, including financial, identity, and cyber fraud. EFM harnesses advanced analytics and real-time monitoring to identify suspicious patterns and anomalies in transactions, enabling timely intervention. Its advantages lie in its ability to protect a company's assets, reputation, and customer trust by minimizing financial losses and ensuring regulatory compliance. There are two primary types of EFM solutions: rule-based and machine learning-based. Rule-based systems rely on predefined rules and thresholds to flag potential fraud, while machine learning-based systems leverage artificial intelligence (AI) to adapt and learn from evolving fraud tactics, enhancing accuracy.
Global Enterprise Fraud Management Market Trends:
The global enterprise fraud management market is influenced by the increasing sophistication of fraudulent activities in the digital age, which has necessitated robust fraud prevention solutions. Furthermore, the rising adoption of online payment methods and e-commerce platforms expands the potential attack surface for fraudsters, thus augmenting the market growth. Additionally, regulatory compliance requirements and data protection regulations drive organizations to invest in fraud management solutions, which, in turn, is supporting the market growth. In line with this, the growing volume of digital transactions and data provides fertile ground for fraudsters, making real-time monitoring and analytics crucial. Moreover, the integration of AI and machine learning (ML) in fraud detection and the globalization of business operations are creating a positive environment for the market. Looking forward, the market value is projected to reach USD 26.3 Billion by 2033, expanding at a CAGR of 9.44% during 2025-2033.
Market Summary:
Report Features | Details |
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Base Year of the Analysis | 2024 |
Historical Period | 2019-2024 |
Forecast Period | 2025-2033 |
Units | Billion USD |
Scope of the Report | Exploration of Historical and Forecast Trends, Industry Catalysts and Challenges, Segment-Wise Historical and Predictive Market Assessment:
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Solutions Covered | Digital Banking and Payment Frauds, Card Frauds, Multi-Channel Fraud, Internal Threats / Employee Surveillance, Authentication Management |
Deployment Types Covered | On-Premises, Cloud-based, SaaS |
Enterprise Sizes Covered | Small Enterprises, Medium Enterprises, Large Enterprises |
Applications Covered | BFSI, Government, Retail, Healthcare, Travel and Tourism, IT and Telecommunication, Others |
Regions Covered | Asia Pacific, Europe, North America, Latin America, Middle East and Africa |
Countries Covered | United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico |
Companies Covered | ACI Worldwide Inc., Capgemini SE, Cybersource (Visa Inc.), Deloitte Touche Tohmatsu Limited, Experian Plc, FICO, NICE Actimize (NICE Systems Ltd.), SAS Institute Inc., Verafin Solutions ULC, etc. |
Customization Scope | 10% Free Customization |
Post-Sale Analyst Support | 10-12 Weeks |
Delivery Format | PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request) |
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