Global AI Powered Fraud Platforms 麻豆原创 Research Report 2025

Publication ID:

PB502250382

Publication Date:

February 21, 2025

Pages:

108

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for AI Powered Fraud Platforms was valued at US$ 13620 million in the year 2024 and is projected to reach a revised size of US$ 24580 million by 2031, growing at a CAGR of 9.1% during the forecast period.
AI Powered Fraud Platforms refer to digital platforms or systems that leverage artificial intelligence (AI) technologies to detect, prevent, and mitigate fraudulent activities. These platforms utilize AI algorithms and models to analyze large datasets, often in real-time, in order to identify patterns, anomalies, or behaviors that indicate potential fraud.
North American market for AI Powered Fraud Platforms is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for AI Powered Fraud Platforms is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global market for AI Powered Fraud Platforms in BFSI is estimated to increase from $ million in 2024 to $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The major global companies of AI Powered Fraud Platforms include Eastnets, Feedzai, Resistant AI, NetGuardians, ADVANCE, Sift, Fraud.net, SEON, Sardine, Mastercard Consumer Fraud Risk, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for AI Powered Fraud Platforms, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI Powered Fraud Platforms.
The AI Powered Fraud Platforms market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global AI Powered Fraud Platforms market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI Powered Fraud Platforms companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
Eastnets
Feedzai
Resistant AI
NetGuardians
ADVANCE
Sift
Fraud.net
SEON
Sardine
Mastercard Consumer Fraud Risk
Cifas
GFT
Hawk
SymphonyAI
SB Payment Service
KPMG
NICE Actimize
DataVisor
4Paradigm
Shanghai Shengteng Data Technology
Iflytek
Segment by Type
Transaction Monitoring Platforms
Identity Verification Platforms
Insurance Fraud Detection Platforms
Credit Risk Management Platforms
Others
Segment by Application
BFSI
Government
E-commerce
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI Powered Fraud Platforms company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global AI Powered Fraud Platforms 麻豆原创 Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Transaction Monitoring Platforms
1.2.3 Identity Verification Platforms
1.2.4 Insurance Fraud Detection Platforms
1.2.5 Credit Risk Management Platforms
1.2.6 Others
1.3 麻豆原创 by Application
1.3.1 Global AI Powered Fraud Platforms 麻豆原创 Growth by Application: 2020 VS 2024 VS 2031
1.3.2 BFSI
1.3.3 Government
1.3.4 E-commerce
1.3.5 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Powered Fraud Platforms 麻豆原创 Perspective (2020-2031)
2.2 Global AI Powered Fraud Platforms Growth Trends by Region
2.2.1 Global AI Powered Fraud Platforms 麻豆原创 Size by Region: 2020 VS 2024 VS 2031
2.2.2 AI Powered Fraud Platforms Historic 麻豆原创 Size by Region (2020-2025)
2.2.3 AI Powered Fraud Platforms Forecasted 麻豆原创 Size by Region (2026-2031)
2.3 AI Powered Fraud Platforms 麻豆原创 Dynamics
2.3.1 AI Powered Fraud Platforms Industry Trends
2.3.2 AI Powered Fraud Platforms 麻豆原创 Drivers
2.3.3 AI Powered Fraud Platforms 麻豆原创 Challenges
2.3.4 AI Powered Fraud Platforms 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Powered Fraud Platforms Players by Revenue
3.1.1 Global Top AI Powered Fraud Platforms Players by Revenue (2020-2025)
3.1.2 Global AI Powered Fraud Platforms Revenue 麻豆原创 Share by Players (2020-2025)
3.2 Global Top AI Powered Fraud Platforms Players by Company Type and 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI Powered Fraud Platforms Revenue
3.4 Global AI Powered Fraud Platforms 麻豆原创 Concentration Ratio
3.4.1 Global AI Powered Fraud Platforms 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Powered Fraud Platforms Revenue in 2024
3.5 Global Key Players of AI Powered Fraud Platforms Head office and Area Served
3.6 Global Key Players of AI Powered Fraud Platforms, Product and Application
3.7 Global Key Players of AI Powered Fraud Platforms, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Powered Fraud Platforms Breakdown Data by Type
4.1 Global AI Powered Fraud Platforms Historic 麻豆原创 Size by Type (2020-2025)
4.2 Global AI Powered Fraud Platforms Forecasted 麻豆原创 Size by Type (2026-2031)
5 AI Powered Fraud Platforms Breakdown Data by Application
5.1 Global AI Powered Fraud Platforms Historic 麻豆原创 Size by Application (2020-2025)
5.2 Global AI Powered Fraud Platforms Forecasted 麻豆原创 Size by Application (2026-2031)
6 North America
6.1 North America AI Powered Fraud Platforms 麻豆原创 Size (2020-2031)
6.2 North America AI Powered Fraud Platforms 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America AI Powered Fraud Platforms 麻豆原创 Size by Country (2020-2025)
6.4 North America AI Powered Fraud Platforms 麻豆原创 Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Powered Fraud Platforms 麻豆原创 Size (2020-2031)
7.2 Europe AI Powered Fraud Platforms 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe AI Powered Fraud Platforms 麻豆原创 Size by Country (2020-2025)
7.4 Europe AI Powered Fraud Platforms 麻豆原创 Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI Powered Fraud Platforms 麻豆原创 Size (2020-2031)
8.2 Asia-Pacific AI Powered Fraud Platforms 麻豆原创 Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific AI Powered Fraud Platforms 麻豆原创 Size by Region (2020-2025)
8.4 Asia-Pacific AI Powered Fraud Platforms 麻豆原创 Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI Powered Fraud Platforms 麻豆原创 Size (2020-2031)
9.2 Latin America AI Powered Fraud Platforms 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America AI Powered Fraud Platforms 麻豆原创 Size by Country (2020-2025)
9.4 Latin America AI Powered Fraud Platforms 麻豆原创 Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Powered Fraud Platforms 麻豆原创 Size (2020-2031)
10.2 Middle East & Africa AI Powered Fraud Platforms 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa AI Powered Fraud Platforms 麻豆原创 Size by Country (2020-2025)
10.4 Middle East & Africa AI Powered Fraud Platforms 麻豆原创 Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Eastnets
11.1.1 Eastnets Company Details
11.1.2 Eastnets Business Overview
11.1.3 Eastnets AI Powered Fraud Platforms Introduction
11.1.4 Eastnets Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.1.5 Eastnets Recent Development
11.2 Feedzai
11.2.1 Feedzai Company Details
11.2.2 Feedzai Business Overview
11.2.3 Feedzai AI Powered Fraud Platforms Introduction
11.2.4 Feedzai Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.2.5 Feedzai Recent Development
11.3 Resistant AI
11.3.1 Resistant AI Company Details
11.3.2 Resistant AI Business Overview
11.3.3 Resistant AI AI Powered Fraud Platforms Introduction
11.3.4 Resistant AI Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.3.5 Resistant AI Recent Development
11.4 NetGuardians
11.4.1 NetGuardians Company Details
11.4.2 NetGuardians Business Overview
11.4.3 NetGuardians AI Powered Fraud Platforms Introduction
11.4.4 NetGuardians Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.4.5 NetGuardians Recent Development
11.5 ADVANCE
11.5.1 ADVANCE Company Details
11.5.2 ADVANCE Business Overview
11.5.3 ADVANCE AI Powered Fraud Platforms Introduction
11.5.4 ADVANCE Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.5.5 ADVANCE Recent Development
11.6 Sift
11.6.1 Sift Company Details
11.6.2 Sift Business Overview
11.6.3 Sift AI Powered Fraud Platforms Introduction
11.6.4 Sift Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.6.5 Sift Recent Development
11.7 Fraud.net
11.7.1 Fraud.net Company Details
11.7.2 Fraud.net Business Overview
11.7.3 Fraud.net AI Powered Fraud Platforms Introduction
11.7.4 Fraud.net Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.7.5 Fraud.net Recent Development
11.8 SEON
11.8.1 SEON Company Details
11.8.2 SEON Business Overview
11.8.3 SEON AI Powered Fraud Platforms Introduction
11.8.4 SEON Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.8.5 SEON Recent Development
11.9 Sardine
11.9.1 Sardine Company Details
11.9.2 Sardine Business Overview
11.9.3 Sardine AI Powered Fraud Platforms Introduction
11.9.4 Sardine Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.9.5 Sardine Recent Development
11.10 Mastercard Consumer Fraud Risk
11.10.1 Mastercard Consumer Fraud Risk Company Details
11.10.2 Mastercard Consumer Fraud Risk Business Overview
11.10.3 Mastercard Consumer Fraud Risk AI Powered Fraud Platforms Introduction
11.10.4 Mastercard Consumer Fraud Risk Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.10.5 Mastercard Consumer Fraud Risk Recent Development
11.11 Cifas
11.11.1 Cifas Company Details
11.11.2 Cifas Business Overview
11.11.3 Cifas AI Powered Fraud Platforms Introduction
11.11.4 Cifas Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.11.5 Cifas Recent Development
11.12 GFT
11.12.1 GFT Company Details
11.12.2 GFT Business Overview
11.12.3 GFT AI Powered Fraud Platforms Introduction
11.12.4 GFT Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.12.5 GFT Recent Development
11.13 Hawk
11.13.1 Hawk Company Details
11.13.2 Hawk Business Overview
11.13.3 Hawk AI Powered Fraud Platforms Introduction
11.13.4 Hawk Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.13.5 Hawk Recent Development
11.14 SymphonyAI
11.14.1 SymphonyAI Company Details
11.14.2 SymphonyAI Business Overview
11.14.3 SymphonyAI AI Powered Fraud Platforms Introduction
11.14.4 SymphonyAI Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.14.5 SymphonyAI Recent Development
11.15 SB Payment Service
11.15.1 SB Payment Service Company Details
11.15.2 SB Payment Service Business Overview
11.15.3 SB Payment Service AI Powered Fraud Platforms Introduction
11.15.4 SB Payment Service Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.15.5 SB Payment Service Recent Development
11.16 KPMG
11.16.1 KPMG Company Details
11.16.2 KPMG Business Overview
11.16.3 KPMG AI Powered Fraud Platforms Introduction
11.16.4 KPMG Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.16.5 KPMG Recent Development
11.17 NICE Actimize
11.17.1 NICE Actimize Company Details
11.17.2 NICE Actimize Business Overview
11.17.3 NICE Actimize AI Powered Fraud Platforms Introduction
11.17.4 NICE Actimize Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.17.5 NICE Actimize Recent Development
11.18 DataVisor
11.18.1 DataVisor Company Details
11.18.2 DataVisor Business Overview
11.18.3 DataVisor AI Powered Fraud Platforms Introduction
11.18.4 DataVisor Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.18.5 DataVisor Recent Development
11.19 4Paradigm
11.19.1 4Paradigm Company Details
11.19.2 4Paradigm Business Overview
11.19.3 4Paradigm AI Powered Fraud Platforms Introduction
11.19.4 4Paradigm Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.19.5 4Paradigm Recent Development
11.20 Shanghai Shengteng Data Technology
11.20.1 Shanghai Shengteng Data Technology Company Details
11.20.2 Shanghai Shengteng Data Technology Business Overview
11.20.3 Shanghai Shengteng Data Technology AI Powered Fraud Platforms Introduction
11.20.4 Shanghai Shengteng Data Technology Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.20.5 Shanghai Shengteng Data Technology Recent Development
11.21 Iflytek
11.21.1 Iflytek Company Details
11.21.2 Iflytek Business Overview
11.21.3 Iflytek AI Powered Fraud Platforms Introduction
11.21.4 Iflytek Revenue in AI Powered Fraud Platforms Business (2020-2025)
11.21.5 Iflytek Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Eastnets
Feedzai
Resistant AI
NetGuardians
ADVANCE
Sift
Fraud.net
SEON
Sardine
Mastercard Consumer Fraud Risk
Cifas
GFT
Hawk
SymphonyAI
SB Payment Service
KPMG
NICE Actimize
DataVisor
4Paradigm
Shanghai Shengteng Data Technology
Iflytek

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