Region:Middle East
Author(s):Shubham
Product Code:KRAB8033
Pages:92
Published On:October 2025

By Type:The market is segmented into various types of fraud detection solutions, including Transaction Monitoring, Identity Verification, Risk Assessment, Behavioral Analytics, Fraud Analytics, Case Management, and Others. Among these, Transaction Monitoring is the leading sub-segment, driven by the increasing volume of online transactions and the need for real-time fraud detection. Identity Verification is also gaining traction as businesses prioritize customer authentication to prevent identity theft.

By End-User:The end-user segmentation includes Banks, Payment Processors, E-commerce Platforms, Insurance Companies, Investment Firms, and Others. Banks are the dominant end-user in the market, as they are heavily investing in AI-powered fraud detection systems to protect customer assets and maintain regulatory compliance. E-commerce platforms are also increasingly adopting these solutions to secure online transactions and enhance customer trust.

The UAE AI-Powered Fraud Detection in FinTech Market is characterized by a dynamic mix of regional and international players. Leading participants such as FICO, SAS Institute Inc., ACI Worldwide, NICE Actimize, Palantir Technologies, Experian, IBM, Oracle, ThreatMetrix, Kount, Forter, Signifyd, Zoot Enterprises, Verafin, Sift Science contribute to innovation, geographic expansion, and service delivery in this space.
The future of the UAE AI-powered fraud detection market appears promising, driven by continuous technological advancements and increasing regulatory pressures. As financial institutions prioritize real-time fraud detection, the integration of AI with emerging technologies like blockchain is expected to enhance security measures. Furthermore, the growing emphasis on customer experience will lead to the development of more user-friendly fraud detection solutions, ensuring that businesses can effectively combat evolving threats while maintaining consumer trust.
| Segment | Sub-Segments |
|---|---|
| By Type | Transaction Monitoring Identity Verification Risk Assessment Behavioral Analytics Fraud Analytics Case Management Others |
| By End-User | Banks Payment Processors E-commerce Platforms Insurance Companies Investment Firms Others |
| By Application | Online Transactions Mobile Payments Point of Sale Transactions Cross-Border Transactions Others |
| By Deployment Mode | On-Premises Cloud-Based Hybrid |
| By Sales Channel | Direct Sales Online Sales Distributors Resellers |
| By Region | Abu Dhabi Dubai Sharjah Others |
| By Pricing Model | Subscription-Based Pay-Per-Use Licensing Others |
| Scope Item/Segment | Sample Size | Target Respondent Profiles |
|---|---|---|
| Banking Sector Fraud Detection | 100 | Fraud Analysts, Risk Managers |
| Insurance Fraud Prevention | 80 | Claims Adjusters, Compliance Officers |
| Payment Processing Solutions | 90 | Product Managers, IT Security Specialists |
| Investment Firms' Risk Management | 70 | Portfolio Managers, Compliance Analysts |
| Regulatory Compliance in FinTech | 60 | Legal Advisors, Regulatory Affairs Managers |
The UAE AI-Powered Fraud Detection in FinTech Market is valued at approximately USD 1.2 billion, reflecting significant growth driven by the increasing adoption of digital payment solutions and the need for enhanced security measures against fraud.