The AI in fraud management market size is estimated to hit around USD 57.32 billion by 2033, increasing from USD 12.42 billion in 2024 with a CAGR of 18.52%. The top companies operating in the AI in fraud management are IBM Corporation, Cognizant, Temenos AG, Capgemini SE, Subex Limited, JuicyScore, Hewlett Packard Enterprise, Maxmind, Inc., BAE Systems plc, Pelican, SAS Institute, Inc., Splunck Inc., DataVisor, Inc., Matellio, Inc., ACTICO Gmbh., and Others.
AI in Fraud Management Market Scope
Report Coverage |
Details |
Market Size by 2033 |
USD 57.32 Billion |
Market Size in 2023 |
USD 10.48 Billion |
Market Size in 2024 |
USD 12.42 Billion |
Market Growth Rate from 2024 to 2033 |
CAGR of 18.52% |
Largest Market |
North America |
Base Year |
2023 |
Forecast Period |
2024 to 2033 |
Segments Covered |
Solution, Application, Enterprises, Industry, and Regions |
Regions Covered |
North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa |
AI in Fraud Management Market Companies
- IBM Corporation
- Cognizant
- Temenos AG
- Capgemini SE
- Subex Limited
- JuicyScore
- Hewlett Packard Enterprise
- Maxmind, Inc.
- BAE Systems plc
- Pelican
- SAS Institute, Inc.
- Splunck Inc.
- DataVisor, Inc.
- Matellio, Inc.
- ACTICO Gmbh.
Recent Developments
- In May 2024, Swift announced the introduction of AI-based experiments by partnering with member banks to explore how technology can analyze and fight against cross-border payment fraud and save billions in fraud-related costs.
- In June 2024, CLARA Analytics, a major player in the artificial intelligence (AI) technology for insurance claim optimization, launched the innovatory latest fraud detection product that uses the company’s AI platform and large workers’ compensation datasets to enhance visibility into defective or suspicious claims.
- In May 2024, Mangopay, a flexible and modular payment provider for the platform, launched its new Fraud Prevention solution. The launch possesses integrated and payment processor-agnostic AI-driven cybersecurity solutions for securing against a wide range of threats such as reseller fraud, account takeover by both bots and humans, chargebacks, payment fraud, and return abuse.
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