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

Publication ID:

LPI03257833

Publication Date:

March 4, 2025

Pages:

113

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

IT Services [2]

Software [3]

Computing & Electronics [4]

Description:

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.听
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.
The 鈥淎I in Fraud Management Industry Forecast鈥� 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鈥� 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 - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Scope of the Report
1.1 Market Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 Market Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 Market Estimation Caveats
2 Executive Summary
2.1 World Market Overview
2.1.1 Global AI in Fraud Management Market Size (2020-2031)
2.1.2 AI in Fraud Management Market Size CAGR by Region (2020 VS 2024 VS 2031)
2.1.3 World Current & Future Analysis for AI in Fraud Management by Country/Region (2020, 2024 & 2031)
2.2 AI in Fraud Management Segment by Type
2.2.1 Small and Medium Enterprises (SMEs)
2.2.2 Large Enterprises
2.2.3 Others
2.3 AI in Fraud Management Market Size by Type
2.3.1 AI in Fraud Management Market Size CAGR by Type (2020 VS 2024 VS 2031)
2.3.2 Global AI in Fraud Management Market Size Market Share by Type (2020-2025)
2.4 AI in Fraud Management Segment by Application
2.4.1 BFSI
2.4.2 IT&Telecom
2.4.3 Healthcare
2.4.4 Government
2.4.5 Education
2.4.6 Retail&CPG
2.4.7 Media&Entertainment
2.4.8 Others
2.5 AI in Fraud Management Market Size by Application
2.5.1 AI in Fraud Management Market Size CAGR by Application (2020 VS 2024 VS 2031)
2.5.2 Global AI in Fraud Management Market Size Market Share by Application (2020-2025)
3 AI in Fraud Management Market Size by Player
3.1 AI in Fraud Management Market Size Market Share by Player
3.1.1 Global AI in Fraud Management Revenue by Player (2020-2025)
3.1.2 Global AI in Fraud Management Revenue Market Share by Player (2020-2025)
3.2 Global AI in Fraud Management Key Players Head office and Products Offered
3.3 Market Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2023-2025)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 AI in Fraud Management by Region
4.1 AI in Fraud Management Market Size by Region (2020-2025)
4.2 Global AI in Fraud Management Annual Revenue by Country/Region (2020-2025)
4.3 Americas AI in Fraud Management Market Size Growth (2020-2025)
4.4 APAC AI in Fraud Management Market Size Growth (2020-2025)
4.5 Europe AI in Fraud Management Market Size Growth (2020-2025)
4.6 Middle East & Africa AI in Fraud Management Market Size Growth (2020-2025)
5 Americas
5.1 Americas AI in Fraud Management Market Size by Country (2020-2025)
5.2 Americas AI in Fraud Management Market Size by Type (2020-2025)
5.3 Americas AI in Fraud Management Market Size by Application (2020-2025)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC AI in Fraud Management Market Size by Region (2020-2025)
6.2 APAC AI in Fraud Management Market Size by Type (2020-2025)
6.3 APAC AI in Fraud Management Market Size by Application (2020-2025)
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe AI in Fraud Management Market Size by Country (2020-2025)
7.2 Europe AI in Fraud Management Market Size by Type (2020-2025)
7.3 Europe AI in Fraud Management Market Size by Application (2020-2025)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa AI in Fraud Management by Region (2020-2025)
8.2 Middle East & Africa AI in Fraud Management Market Size by Type (2020-2025)
8.3 Middle East & Africa AI in Fraud Management Market Size by Application (2020-2025)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 Market Drivers, Challenges and Trends
9.1 Market Drivers & Growth Opportunities
9.2 Market Challenges & Risks
9.3 Industry Trends
10 Global AI in Fraud Management Market Forecast
10.1 Global AI in Fraud Management Forecast by Region (2026-2031)
10.1.1 Global AI in Fraud Management Forecast by Region (2026-2031)
10.1.2 Americas AI in Fraud Management Forecast
10.1.3 APAC AI in Fraud Management Forecast
10.1.4 Europe AI in Fraud Management Forecast
10.1.5 Middle East & Africa AI in Fraud Management Forecast
10.2 Americas AI in Fraud Management Forecast by Country (2026-2031)
10.2.1 United States Market AI in Fraud Management Forecast
10.2.2 Canada Market AI in Fraud Management Forecast
10.2.3 Mexico Market AI in Fraud Management Forecast
10.2.4 Brazil Market AI in Fraud Management Forecast
10.3 APAC AI in Fraud Management Forecast by Region (2026-2031)
10.3.1 China AI in Fraud Management Market Forecast
10.3.2 Japan Market AI in Fraud Management Forecast
10.3.3 Korea Market AI in Fraud Management Forecast
10.3.4 Southeast Asia Market AI in Fraud Management Forecast
10.3.5 India Market AI in Fraud Management Forecast
10.3.6 Australia Market AI in Fraud Management Forecast
10.4 Europe AI in Fraud Management Forecast by Country (2026-2031)
10.4.1 Germany Market AI in Fraud Management Forecast
10.4.2 France Market AI in Fraud Management Forecast
10.4.3 UK Market AI in Fraud Management Forecast
10.4.4 Italy Market AI in Fraud Management Forecast
10.4.5 Russia Market AI in Fraud Management Forecast
10.5 Middle East & Africa AI in Fraud Management Forecast by Region (2026-2031)
10.5.1 Egypt Market AI in Fraud Management Forecast
10.5.2 South Africa Market AI in Fraud Management Forecast
10.5.3 Israel Market AI in Fraud Management Forecast
10.5.4 Turkey Market AI in Fraud Management Forecast
10.6 Global AI in Fraud Management Forecast by Type (2026-2031)
10.7 Global AI in Fraud Management Forecast by Application (2026-2031)
10.7.1 GCC Countries Market AI in Fraud Management Forecast
11 Key Players Analysis
11.1 IBM Corporation
11.1.1 IBM Corporation Company Information
11.1.2 IBM Corporation AI in Fraud Management Product Offered
11.1.3 IBM Corporation AI in Fraud Management Revenue, Gross Margin and Market Share (2020-2025)
11.1.4 IBM Corporation Main Business Overview
11.1.5 IBM Corporation Latest Developments
11.2 Hewlett Packard Enterprise
11.2.1 Hewlett Packard Enterprise Company Information
11.2.2 Hewlett Packard Enterprise AI in Fraud Management Product Offered
11.2.3 Hewlett Packard Enterprise AI in Fraud Management Revenue, Gross Margin and Market Share (2020-2025)
11.2.4 Hewlett Packard Enterprise Main Business Overview
11.2.5 Hewlett Packard Enterprise Latest Developments
11.3 Subex Limited
11.3.1 Subex Limited Company Information
11.3.2 Subex Limited AI in Fraud Management Product Offered
11.3.3 Subex Limited AI in Fraud Management Revenue, Gross Margin and Market Share (2020-2025)
11.3.4 Subex Limited Main Business Overview
11.3.5 Subex Limited Latest Developments
11.4 Temenos AG
11.4.1 Temenos AG Company Information
11.4.2 Temenos AG AI in Fraud Management Product Offered
11.4.3 Temenos AG AI in Fraud Management Revenue, Gross Margin and Market Share (2020-2025)
11.4.4 Temenos AG Main Business Overview
11.4.5 Temenos AG Latest Developments
11.5 Cognizant
11.5.1 Cognizant Company Information
11.5.2 Cognizant AI in Fraud Management Product Offered
11.5.3 Cognizant AI in Fraud Management Revenue, Gross Margin and Market Share (2020-2025)
11.5.4 Cognizant Main Business Overview
11.5.5 Cognizant Latest Developments
11.6 Splunk, Inc.
11.6.1 Splunk, Inc. Company Information
11.6.2 Splunk, Inc. AI in Fraud Management Product Offered
11.6.3 Splunk, Inc. AI in Fraud Management Revenue, Gross Margin and Market Share (2020-2025)
11.6.4 Splunk, Inc. Main Business Overview
11.6.5 Splunk, Inc. Latest Developments
11.7 BAE Systems
11.7.1 BAE Systems Company Information
11.7.2 BAE Systems AI in Fraud Management Product Offered
11.7.3 BAE Systems AI in Fraud Management Revenue, Gross Margin and Market Share (2020-2025)
11.7.4 BAE Systems Main Business Overview
11.7.5 BAE Systems Latest Developments
11.8 Pelican
11.8.1 Pelican Company Information
11.8.2 Pelican AI in Fraud Management Product Offered
11.8.3 Pelican AI in Fraud Management Revenue, Gross Margin and Market Share (2020-2025)
11.8.4 Pelican Main Business Overview
11.8.5 Pelican Latest Developments
11.9 DataVisor, Inc.
11.9.1 DataVisor, Inc. Company Information
11.9.2 DataVisor, Inc. AI in Fraud Management Product Offered
11.9.3 DataVisor, Inc. AI in Fraud Management Revenue, Gross Margin and Market Share (2020-2025)
11.9.4 DataVisor, Inc. Main Business Overview
11.9.5 DataVisor, Inc. Latest Developments
11.10 Matellio Inc.
11.10.1 Matellio Inc. Company Information
11.10.2 Matellio Inc. AI in Fraud Management Product Offered
11.10.3 Matellio Inc. AI in Fraud Management Revenue, Gross Margin and Market Share (2020-2025)
11.10.4 Matellio Inc. Main Business Overview
11.10.5 Matellio Inc. Latest Developments
11.11 MaxMind, Inc.
11.11.1 MaxMind, Inc. Company Information
11.11.2 MaxMind, Inc. AI in Fraud Management Product Offered
11.11.3 MaxMind, Inc. AI in Fraud Management Revenue, Gross Margin and Market Share (2020-2025)
11.11.4 MaxMind, Inc. Main Business Overview
11.11.5 MaxMind, Inc. Latest Developments
11.12 SAS Institute Inc.
11.12.1 SAS Institute Inc. Company Information
11.12.2 SAS Institute Inc. AI in Fraud Management Product Offered
11.12.3 SAS Institute Inc. AI in Fraud Management Revenue, Gross Margin and Market Share (2020-2025)
11.12.4 SAS Institute Inc. Main Business Overview
11.12.5 SAS Institute Inc. Latest Developments
11.13 Capgemini SE
11.13.1 Capgemini SE Company Information
11.13.2 Capgemini SE AI in Fraud Management Product Offered
11.13.3 Capgemini SE AI in Fraud Management Revenue, Gross Margin and Market Share (2020-2025)
11.13.4 Capgemini SE Main Business Overview
11.13.5 Capgemini SE Latest Developments
11.14 JuicyScore
11.14.1 JuicyScore Company Information
11.14.2 JuicyScore AI in Fraud Management Product Offered
11.14.3 JuicyScore AI in Fraud Management Revenue, Gross Margin and Market Share (2020-2025)
11.14.4 JuicyScore Main Business Overview
11.14.5 JuicyScore Latest Developments
11.15 ACTICO GmbH
11.15.1 ACTICO GmbH Company Information
11.15.2 ACTICO GmbH AI in Fraud Management Product Offered
11.15.3 ACTICO GmbH AI in Fraud Management Revenue, Gross Margin and Market Share (2020-2025)
11.15.4 ACTICO GmbH Main Business Overview
11.15.5 ACTICO GmbH Latest Developments
12 Research Findings and Conclusion

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