Global AI in Fraud Management Market Growth (Status and Outlook) 2025-2031

The global AI in Fraud Management market size is predicted to grow from US$ 3957 million in 2025 to US$ 5234 million in 2031; it is expected to grow at a CAGR of 4.8% from 2025 to 2031.

When fraud is suspected, AI models may be used to reject transactions altogether or flag them for further investigation, as well as rate the likelihood of fraud, allowing investigators to focus their efforts on the most promising instances. 

The global AI in fraud management market refers to the market for AI-powered solutions and technologies that are used to detect, prevent, and manage fraudulent activities across various industries. Fraud management is a critical aspect for businesses to safeguard their operations, assets, and customer trust against fraudulent activities such as identity theft, payment fraud, insurance fraud, and cyber fraud.

The market for AI in fraud management has been growing rapidly due to the increasing sophistication of fraud techniques and the need for advanced fraud detection and prevention measures. AI technologies, such as machine learning, natural language processing, and anomaly detection, play a crucial role in identifying patterns, anomalies, and suspicious activities that indicate fraudulent behavior.

Several factors are driving the growth of the AI in fraud management market. Firstly, the rise in digital transactions and online financial activities has led to a surge in fraud attempts. AI-based solutions offer real-time analysis and monitoring capabilities to identify fraud patterns and prevent fraudulent transactions.

Secondly, the evolving nature of fraud attacks requires dynamic and adaptive solutions. AI systems can continuously learn and update their models based on new data, enabling them to detect emerging fraud trends and patterns effectively.

Thirdly, the increasing availability of data, coupled with advancements in computing power and storage capabilities, has created opportunities for AI algorithms to analyze vast amounts of data and identify complex fraud patterns that may be difficult for traditional rule-based systems to detect.

Furthermore, regulatory requirements and compliance standards in various industries, such as banking, insurance, and retail, have made it imperative for organizations to implement robust fraud management systems. AI technologies aid in meeting these requirements by providing advanced analytics, risk assessment, and fraud prevention capabilities.

The AI in fraud management market can be segmented based on the deployment mode, application, organization size, and industry vertical. Deployment modes may include on-premises, cloud-based, and hybrid solutions. Applications can range from fraud detection and prevention to identity authentication and risk assessment. Organization sizes can vary from small and medium enterprises (SMEs) to large enterprises. Industry verticals encompass banking and financial services, insurance, retail and e-commerce, healthcare, and others.

Geographically, the market is spread across North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. North America has traditionally been a prominent market for AI in fraud management, owing to the presence of major technology providers, financial institutions, and stringent regulatory frameworks. However, the market is also witnessing significant growth in other regions due to increasing digitalization and the adoption of AI technologies.

In conclusion, the global AI in fraud management market is experiencing substantial growth due to the increasing need for advanced fraud detection and prevention solutions across various industries. AI technologies provide organizations with powerful tools to combat fraudulent activities, safeguard their operations, and protect customer trust.

LPI (LP Information)' newest research report, the “AI in Fraud Management Industry Forecast” looks at past sales and reviews total world AI in Fraud Management sales in 2024, providing a comprehensive analysis by region and market sector of projected AI in Fraud Management sales for 2025 through 2031. With AI in Fraud Management sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI in Fraud Management industry.

This Insight Report provides a comprehensive analysis of the global AI in Fraud Management landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI in Fraud Management portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI in Fraud Management market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI in Fraud Management and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI in Fraud Management.

This report presents a comprehensive overview, market shares, and growth opportunities of AI in Fraud Management market by product type, application, key players and key regions and countries.

Segmentation by Type:
Small and Medium Enterprises (SMEs)
Large Enterprises
Others

Segmentation by Application:
BFSI
IT&Telecom
Healthcare
Government
Education
Retail&CPG
Media&Entertainment
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

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.
IBM Corporation
Hewlett Packard Enterprise
Subex Limited
Temenos AG
Cognizant
Splunk, Inc.
BAE Systems
Pelican
DataVisor, Inc.
Matellio Inc.
MaxMind, Inc.
SAS Institute Inc.
Capgemini SE
JuicyScore
ACTICO GmbH

Please note: The report will take approximately 2 business days to prepare and deliver.