Global AI in Fraud Management Market Research Report 2024(Status and Outlook)

Global AI in Fraud Management Market Research Report 2024(Status and Outlook)



Report Overview:

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 Size was estimated at USD 3737.84 million in 2023 and is projected to reach USD 4895.66 million by 2029, exhibiting a CAGR of 4.60% during the forecast period.

This report provides a deep insight into the global AI in Fraud Management market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, SWOT analysis, Porter’s five forces analysis, value chain analysis, etc.

The analysis helps the reader to shape the competition within the industries and strategies for the competitive environment to enhance the potential profit. Furthermore, it provides a simple framework for evaluating and accessing the position of the business organization. The report structure also focuses on the competitive landscape of the Global AI in Fraud Management Market, this report introduces in detail the market share, market performance, product situation, operation situation, etc. of the main players, which helps the readers in the industry to identify the main competitors and deeply understand the competition pattern of the market.

In a word, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the AI in Fraud Management market in any manner.

Global AI in Fraud Management Market: Market Segmentation Analysis

The research report includes specific segments by region (country), manufacturers, Type, and Application. Market segmentation creates subsets of a market based on product type, end-user or application, Geographic, and other factors. By understanding the market segments, the decision-maker can leverage this targeting in the product, sales, and marketing strategies. Market segments can power your product development cycles by informing how you create product offerings for different segments.

Key Company

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

Market Segmentation (by Type)

Small and Medium Enterprises (SMEs)

Large Enterprises

Others

Market Segmentation (by Application)

BFSI

IT&Telecom

Healthcare

Government

Education

Retail&CPG

Media&Entertainment

Others

Geographic Segmentation

North America (USA, Canada, Mexico)

Europe (Germany, UK, France, Russia, Italy, Rest of Europe)

Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)

South America (Brazil, Argentina, Columbia, Rest of South America)

The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)

Key Benefits of This Market Research:

Industry drivers, restraints, and opportunities covered in the study

Neutral perspective on the market performance

Recent industry trends and developments

Competitive landscape & strategies of key players

Potential & niche segments and regions exhibiting promising growth covered

Historical, current, and projected market size, in terms of value

In-depth analysis of the AI in Fraud Management Market

Overview of the regional outlook of the AI in Fraud Management Market:

Key Reasons to Buy this Report:

Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change

This enables you to anticipate market changes to remain ahead of your competitors

You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents

The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly

Provision of market value (USD Billion) data for each segment and sub-segment

Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market

Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region

Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled

Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players

The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions

Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis

Provides insight into the market through Value Chain

Market dynamics scenario, along with growth opportunities of the market in the years to come

6-month post-sales analyst support

Customization of the Report

In case of any queries or customization requirements, please connect with our sales team, who will ensure that your requirements are met.

Note: this report may need to undergo a final check or review and this could take about 48 hours.

Chapter Outline

Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.

Chapter 2 is an executive summary of different market segments (by region, product type, 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 AI in Fraud Management Market and its likely evolution in the short to mid-term, and long term.

Chapter 3 makes a detailed analysis of the Market's Competitive Landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.

Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.

Chapter 5 introduces the latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 7 provides the analysis of various market segments according to 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 8 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 9 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.

Chapter 10 provides a quantitative analysis of the market size and development potential of each region in the next five years.

Chapter 11 provides a quantitative analysis of the market size and development potential of each market segment (product type and application) in the next five years.

Chapter 12 is the main points and conclusions of the report.


1 Research Methodology and Statistical Scope
1.1 Market Definition and Statistical Scope of AI in Fraud Management
1.2 Key Market Segments
1.2.1 AI in Fraud Management Segment by Type
1.2.2 AI in Fraud Management Segment by Application
1.3 Methodology & Sources of Information
1.3.1 Research Methodology
1.3.2 Research Process
1.3.3 Market Breakdown and Data Triangulation
1.3.4 Base Year
1.3.5 Report Assumptions & Caveats
2 AI in Fraud Management Market Overview
2.1 Global Market Overview
2.2 Market Segment Executive Summary
2.3 Global Market Size by Region
3 AI in Fraud Management Market Competitive Landscape
3.1 Global AI in Fraud Management Revenue Market Share by Company (2019-2024)
3.2 AI in Fraud Management Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Company AI in Fraud Management Market Size Sites, Area Served, Product Type
3.4 AI in Fraud Management Market Competitive Situation and Trends
3.4.1 AI in Fraud Management Market Concentration Rate
3.4.2 Global 5 and 10 Largest AI in Fraud Management Players Market Share by Revenue
3.4.3 Mergers & Acquisitions, Expansion
4 AI in Fraud Management Value Chain Analysis
4.1 AI in Fraud Management Value Chain Analysis
4.2 Midstream Market Analysis
4.3 Downstream Customer Analysis
5 The Development and Dynamics of AI in Fraud Management Market
5.1 Key Development Trends
5.2 Driving Factors
5.3 Market Challenges
5.4 Market Restraints
5.5 Industry News
5.5.1 Mergers & Acquisitions
5.5.2 Expansions
5.5.3 Collaboration/Supply Contracts
5.6 Industry Policies
6 AI in Fraud Management Market Segmentation by Type
6.1 Evaluation Matrix of Segment Market Development Potential (Type)
6.2 Global AI in Fraud Management Market Size Market Share by Type (2019-2024)
6.3 Global AI in Fraud Management Market Size Growth Rate by Type (2019-2024)
7 AI in Fraud Management Market Segmentation by Application
7.1 Evaluation Matrix of Segment Market Development Potential (Application)
7.2 Global AI in Fraud Management Market Size (M USD) by Application (2019-2024)
7.3 Global AI in Fraud Management Market Size Growth Rate by Application (2019-2024)
8 AI in Fraud Management Market Segmentation by Region
8.1 Global AI in Fraud Management Market Size by Region
8.1.1 Global AI in Fraud Management Market Size by Region
8.1.2 Global AI in Fraud Management Market Size Market Share by Region
8.2 North America
8.2.1 North America AI in Fraud Management Market Size by Country
8.2.2 U.S.
8.2.3 Canada
8.2.4 Mexico
8.3 Europe
8.3.1 Europe AI in Fraud Management Market Size by Country
8.3.2 Germany
8.3.3 France
8.3.4 U.K.
8.3.5 Italy
8.3.6 Russia
8.4 Asia Pacific
8.4.1 Asia Pacific AI in Fraud Management Market Size by Region
8.4.2 China
8.4.3 Japan
8.4.4 South Korea
8.4.5 India
8.4.6 Southeast Asia
8.5 South America
8.5.1 South America AI in Fraud Management Market Size by Country
8.5.2 Brazil
8.5.3 Argentina
8.5.4 Columbia
8.6 Middle East and Africa
8.6.1 Middle East and Africa AI in Fraud Management Market Size by Region
8.6.2 Saudi Arabia
8.6.3 UAE
8.6.4 Egypt
8.6.5 Nigeria
8.6.6 South Africa
9 Key Companies Profile
9.1 IBM Corporation
9.1.1 IBM Corporation AI in Fraud Management Basic Information
9.1.2 IBM Corporation AI in Fraud Management Product Overview
9.1.3 IBM Corporation AI in Fraud Management Product Market Performance
9.1.4 IBM Corporation AI in Fraud Management SWOT Analysis
9.1.5 IBM Corporation Business Overview
9.1.6 IBM Corporation Recent Developments
9.2 Hewlett Packard Enterprise
9.2.1 Hewlett Packard Enterprise AI in Fraud Management Basic Information
9.2.2 Hewlett Packard Enterprise AI in Fraud Management Product Overview
9.2.3 Hewlett Packard Enterprise AI in Fraud Management Product Market Performance
9.2.4 IBM Corporation AI in Fraud Management SWOT Analysis
9.2.5 Hewlett Packard Enterprise Business Overview
9.2.6 Hewlett Packard Enterprise Recent Developments
9.3 Subex Limited
9.3.1 Subex Limited AI in Fraud Management Basic Information
9.3.2 Subex Limited AI in Fraud Management Product Overview
9.3.3 Subex Limited AI in Fraud Management Product Market Performance
9.3.4 IBM Corporation AI in Fraud Management SWOT Analysis
9.3.5 Subex Limited Business Overview
9.3.6 Subex Limited Recent Developments
9.4 Temenos AG
9.4.1 Temenos AG AI in Fraud Management Basic Information
9.4.2 Temenos AG AI in Fraud Management Product Overview
9.4.3 Temenos AG AI in Fraud Management Product Market Performance
9.4.4 Temenos AG Business Overview
9.4.5 Temenos AG Recent Developments
9.5 Cognizant
9.5.1 Cognizant AI in Fraud Management Basic Information
9.5.2 Cognizant AI in Fraud Management Product Overview
9.5.3 Cognizant AI in Fraud Management Product Market Performance
9.5.4 Cognizant Business Overview
9.5.5 Cognizant Recent Developments
9.6 Splunk, Inc.
9.6.1 Splunk, Inc. AI in Fraud Management Basic Information
9.6.2 Splunk, Inc. AI in Fraud Management Product Overview
9.6.3 Splunk, Inc. AI in Fraud Management Product Market Performance
9.6.4 Splunk, Inc. Business Overview
9.6.5 Splunk, Inc. Recent Developments
9.7 BAE Systems
9.7.1 BAE Systems AI in Fraud Management Basic Information
9.7.2 BAE Systems AI in Fraud Management Product Overview
9.7.3 BAE Systems AI in Fraud Management Product Market Performance
9.7.4 BAE Systems Business Overview
9.7.5 BAE Systems Recent Developments
9.8 Pelican
9.8.1 Pelican AI in Fraud Management Basic Information
9.8.2 Pelican AI in Fraud Management Product Overview
9.8.3 Pelican AI in Fraud Management Product Market Performance
9.8.4 Pelican Business Overview
9.8.5 Pelican Recent Developments
9.9 DataVisor, Inc.
9.9.1 DataVisor, Inc. AI in Fraud Management Basic Information
9.9.2 DataVisor, Inc. AI in Fraud Management Product Overview
9.9.3 DataVisor, Inc. AI in Fraud Management Product Market Performance
9.9.4 DataVisor, Inc. Business Overview
9.9.5 DataVisor, Inc. Recent Developments
9.10 Matellio Inc.
9.10.1 Matellio Inc. AI in Fraud Management Basic Information
9.10.2 Matellio Inc. AI in Fraud Management Product Overview
9.10.3 Matellio Inc. AI in Fraud Management Product Market Performance
9.10.4 Matellio Inc. Business Overview
9.10.5 Matellio Inc. Recent Developments
9.11 MaxMind, Inc.
9.11.1 MaxMind, Inc. AI in Fraud Management Basic Information
9.11.2 MaxMind, Inc. AI in Fraud Management Product Overview
9.11.3 MaxMind, Inc. AI in Fraud Management Product Market Performance
9.11.4 MaxMind, Inc. Business Overview
9.11.5 MaxMind, Inc. Recent Developments
9.12 SAS Institute Inc.
9.12.1 SAS Institute Inc. AI in Fraud Management Basic Information
9.12.2 SAS Institute Inc. AI in Fraud Management Product Overview
9.12.3 SAS Institute Inc. AI in Fraud Management Product Market Performance
9.12.4 SAS Institute Inc. Business Overview
9.12.5 SAS Institute Inc. Recent Developments
9.13 Capgemini SE
9.13.1 Capgemini SE AI in Fraud Management Basic Information
9.13.2 Capgemini SE AI in Fraud Management Product Overview
9.13.3 Capgemini SE AI in Fraud Management Product Market Performance
9.13.4 Capgemini SE Business Overview
9.13.5 Capgemini SE Recent Developments
9.14 JuicyScore
9.14.1 JuicyScore AI in Fraud Management Basic Information
9.14.2 JuicyScore AI in Fraud Management Product Overview
9.14.3 JuicyScore AI in Fraud Management Product Market Performance
9.14.4 JuicyScore Business Overview
9.14.5 JuicyScore Recent Developments
9.15 ACTICO GmbH
9.15.1 ACTICO GmbH AI in Fraud Management Basic Information
9.15.2 ACTICO GmbH AI in Fraud Management Product Overview
9.15.3 ACTICO GmbH AI in Fraud Management Product Market Performance
9.15.4 ACTICO GmbH Business Overview
9.15.5 ACTICO GmbH Recent Developments
10 AI in Fraud Management Regional Market Forecast
10.1 Global AI in Fraud Management Market Size Forecast
10.2 Global AI in Fraud Management Market Forecast by Region
10.2.1 North America Market Size Forecast by Country
10.2.2 Europe AI in Fraud Management Market Size Forecast by Country
10.2.3 Asia Pacific AI in Fraud Management Market Size Forecast by Region
10.2.4 South America AI in Fraud Management Market Size Forecast by Country
10.2.5 Middle East and Africa Forecasted Consumption of AI in Fraud Management by Country
11 Forecast Market by Type and by Application (2025-2030)
11.1 Global AI in Fraud Management Market Forecast by Type (2025-2030)
11.2 Global AI in Fraud Management Market Forecast by Application (2025-2030)
12 Conclusion and Key Findings

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