The global Fraud and Risk Analytic market size is predicted to grow from US$ million in 2025 to US$ million in 2031; it is expected to grow at a CAGR of % from 2025 to 2031.

Fraud and Risk Analytics refers to a solution that uses technologies such as data analysis technology and machine learning algorithms to identify and predict fraud and risk situations that enterprises may face. It is a data-driven approach to risk management that can help companies identify and reduce the risk of fraud and risk, thereby protecting the interests of the company.

Key Features

The growth of the Fraud and Risk Analytics market is primarily driven by the increasing demand for risk management and fraud detection in industries such as finance, insurance, retail, and healthcare. These industries face increasing fraud and risk challenges and need to utilize technologies such as data analytics and machine learning to identify and mitigate risks. In addition, with the acceleration of global digital transformation, more and more enterprises are facing threats from cybersecurity attacks and data leakage. As a result, the demand for fraud and risk analytics solutions is also growing among businesses.

Segmentation by Type

• Financial Type
• Insurance Type
• Others

Segmentation by Application

• Enterprise
• Personal

Market by Region

This report also splits the market by region:

• Americas
• APAC
• Europe
• Middle East & Africa

Company's Coverage

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration:

• WNS
• Deloitte
• CELENT
• OneSpan
• IPinfo
• Otto JS
• ZIGRAM
• Fraudlogix
• IPQualityScore (IPQS)
• Grant Thornton
• Wersel Brand Analytics
• LexisNexis® Risk Solutions
• Interceptd

Key Questions Addressed in this Report