Global AI-Based Fraud Detection Tools Market Growth (Status and Outlook) 2023-2029


Global AI-Based Fraud Detection Tools Market Growth (Status and Outlook) 2023-2029

The global AI-Based Fraud Detection Tools market size is projected to grow from US$ million in 2022 to US$ million in 2029; it is expected to grow at a CAGR of % from 2023 to 2029.

United States market for AI-Based Fraud Detection Tools is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.

China market for AI-Based Fraud Detection Tools is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.

Europe market for AI-Based Fraud Detection Tools is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.

Global key AI-Based Fraud Detection Tools players cover IBM, Microsoft, Accertify, SEON, Kount, Alessa, Veridas, Riskified and ClearSale, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2022.

Fraud detection software, or online fraud detection software, is used to detect illegitimate and high-risk online activities. These tools continuously monitor user behavior and calculate risk figures to identify potentially fraudulent purchases, transactions, or access. Fraud detection tools are used by the IT and compliance departments of businesses and digital banking companies to monitor potential fraudulent actions made by their users. Companies adopt these tools to prevent cyberattacks, fraudulent transactions, and identity theft while protecting sensitive information about the business and its customers. Utilizing machine learning and real-time behavior analytics, fraud detection tools can perform real-time risk classification based on device and IP reputation and other factors.

LPI (LP Information)' newest research report, the “AI-Based Fraud Detection Tools Industry Forecast” looks at past sales and reviews total world AI-Based Fraud Detection Tools sales in 2022, providing a comprehensive analysis by region and market sector of projected AI-Based Fraud Detection Tools sales for 2023 through 2029. With AI-Based Fraud Detection Tools sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI-Based Fraud Detection Tools industry.

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

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI-Based Fraud Detection Tools 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-Based Fraud Detection Tools.

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

Market Segmentation:

Segmentation by type
Cloud Based
On-Premise

Segmentation by application
Large Corporation
SMEs

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
Microsoft
Accertify
SEON
Kount
Alessa
Veridas
Riskified
ClearSale
AdvaRisk
Sift
Signifyd
Emailage
ArkOwl
Mastercard(Ekata)
TruValidate
ThreatMetrix
Cyber​​source
FraudHunt
OneSpan
Ethoca
Visa
RSA Security

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


*This is a tentative TOC and the final deliverable is subject to change.*
1 Scope of the Report
2 Executive Summary
3 AI-Based Fraud Detection Tools Market Size by Player
4 AI-Based Fraud Detection Tools by Regions
5 Americas
6 APAC
7 Europe
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
10 Global AI-Based Fraud Detection Tools Market Forecast
11 Key Players Analysis
12 Research Findings and Conclusion

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