Global AI in Fraud Management Market Report By Solution (AI-powered Fraud Prevention Software, Services), By Application (Identity Theft Protection, Payment Fraud Prevention, Anti-Money Laundering, Others), By Enterprise Size (Small and Medium Enterprises (SMEs), Large Enterprises), By Industry (BFSI, IT & Telecom, Healthcare, Government, Education, Retail & CPG, Media & Entertainment, Others) And By Regions - Industry Trends, Size, Share, Growth, Estimation and Forecast, 2020-2027

ID:VMR11216087
September 2021
Report Formats:
The global demand for AI in Fraud Management Market is presumed to reach the market size of nearly USD XX MN by 2027 from USD XX MN in 2020 with a CAGR of XX% under the study period 2021 - 2027.

AI solutions can be an integral part of security which is relevant for many business sectors. AI interprets trend-based insights through machine learning and then combines completely new knowledge received from unsupervised machine learning. These steps enable the technology to determine if a transaction was fraudulent or not. AI in fraud management can be used to facilitate enhanced security as it can effectively trace steps of card usage, endpoint access, etc. Thus, helping security specialists better link the point at which fraud was committed and ensured further prevention. The relevance of fraud management in all businesses is of a different scale. However, it is worthy of note that no business is entirely free of risk. Many fraud incidents can damage the business's reputation and revenue. Thus, AI fraud management is important for all organizations. 

The market of AI fraud management is growing as an organization has started leaning on AI to analyze the behavior of transactions. A survey by PMTS stated that 80% of fraud specialists believe that AI technology could be vital for reducing payment frauds and safeguard companies from fraud attempts. Fraud detection through AI is beneficial as data analysis can be done within milliseconds. Further, the technology also quickly detects sophisticated patterns, a task that would be challenging for fraud analysis to detect. AI makes fraud management time-effective and facilitates analysts to focus on vital aspects like cases when risk scores are high. Lack of data infrastructure to sustain machine learning and entry of conventional businesses in the online platform are challenging hurdles in the market. But it also helps businesses determine frauds in less than a second, stop abuse attacks, and enables businesses to have better control over chargeback rates as well. 

The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of ai in fraud management. The growth and trends of ai in fraud management industry provide a holistic approach to this study. 

Market Segmentation

This section of the ai in fraud management market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities. 

By Solution
  • Ai-Powered Fraud Prevention Software
  • Services

By Application
  • Identity Theft Protection
  • Payment Fraud Prevention
  • Anti-Money Laundering
  • Others

By Enterprise Size
  • Small And Medium Enterprises (Smes)
  • Large Enterprises

By Industry
  • BFSI
  • IT & Telecom
  • Healthcare
  • Government
  • Education
  • Retail & Cpg
  • Media & Entertainment
  • Others

Regional Analysis

This section covers the regional outlook, which accentuates current and future demand for the AI in Fraud Management market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

Global AI in Fraud Management Market Share by Region (Representative Graph)
Global AI in Fraud Management Market Share


The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the ai in fraud management market include IBM Corporation, Cognizant, Temenos AG, Capgemini SE, Subex Limited, JuicyScore, Hewlett Packard Enterprise, MaxMind, Inc., BAE Systems plc., Pelican, SAS Institute Inc., Splunk, Inc. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
 
METHODOLOGY:

This market research report has been produced by gathering information based on primary and secondary research. Secondary research has been done using various sources, including (but not limited to) Company Websites, Paid Data Sources, Technical Journals, Financial Reports, SEC Filings, and other different industry publications. Additionally, our team conducts extensive primary research with key industry participants to gather first-hand data. The data is then analyzed and validated by industry experts.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

1 . PREFACE
       1.1. Report Description
           1.1.1. Objective
           1.1.2. Target Audience
           1.1.3. Unique Selling Proposition (USP) & offerings
       1.2. Research Scope
       1.3. Research Methodology
           1.3.1. Market Research Process
           1.3.2. Market Research Methodology
 
2 . EXECUTIVE SUMMARY
       2.1. Highlights of Market
       2.2. Global Market Snapshot
 
3 . AI IN FRAUD MANAGEMENT – INDUSTRY ANALYSIS
       3.1. Introduction - Market Dynamics
       3.2. Market Drivers
       3.3. Market Restraints
       3.4. Opportunities
       3.5. Industry Trends
       3.6. Porter’s Five Force Analysis
       3.7. Market Attractiveness Analysis
           3.7.1 By Solution
           3.7.2 By Application
           3.7.3 By Enterprise Size
           3.7.4 By Industry
           3.7.5 By Region
 
4 . VALUE CHAIN ANALYSIS
       4.1. Value Chain Analysis
       4.2. Raw Material Analysis
           4.2.1. List of Raw Materials
           4.2.2. Raw Material Manufactures List
           4.2.3. Price Trend of Key Raw Materials
       4.3. List of Potential Buyers
       4.4. Marketing Channel
           4.4.1. Direct Marketing
           4.4.2. Indirect Marketing
           4.4.3. Marketing Channel Development Trend
 
5 . IMPACT ANALYSIS OF COVID-19 OUTBREAK
       5.1. Impact Analysis of Covid-19 Outbreak
           5.1.1. Direct Impact on Production
           5.1.2. Supply Chain and Market Disruption
           5.1.3. Financial Impact on Firms and Financial Markets
       5.2. COVID-19 Impact Analysis by Production, Import, Export and Demand
       5.3. Market: Pre V/S Post COVID-19
       5.4. Estimated Impact of the Coronavirus (COVID-19) Epidemic
       5.5. COVID-19: Micro and Macro Factor Analysis
 
6 . GLOBAL AI IN FRAUD MANAGEMENT MARKET ANALYSIS BY SOLUTION
       6.1 Overview by Solution
       6.2 Historical and Forecast Data
       6.3 Analysis by Solution
       6.4 AI-powered Fraud Prevention Software Market by Regions
       6.5 Services Market by Regions
 
7 . GLOBAL AI IN FRAUD MANAGEMENT MARKET ANALYSIS BY APPLICATION
       7.1 Overview by Application
       7.2 Historical and Forecast Data
       7.3 Analysis by Application
       7.4 Identity Theft Protection Market by Regions
       7.5 Payment Fraud Prevention Market by Regions
       7.6 Anti-Money Laundering Market by Regions
       7.7 Others Market by Regions
 
8 . GLOBAL AI IN FRAUD MANAGEMENT MARKET ANALYSIS BY ENTERPRISE SIZE
       8.1 Overview by Enterprise Size
       8.2 Historical and Forecast Data
       8.3 Analysis by Enterprise Size
       8.4 Small and Medium Enterprises (SMEs) Market by Regions
       8.5 Large Enterprises Market by Regions
 
9 . GLOBAL AI IN FRAUD MANAGEMENT MARKET ANALYSIS BY INDUSTRY
       9.1 Overview by Industry
       9.2 Historical and Forecast Data
       9.3 Analysis by Industry
       9.4 BFSI Market by Regions
       9.5 IT & Telecom Market by Regions
       9.6 Healthcare Market by Regions
       9.7 Government Market by Regions
       9.8 Education Market by Regions
       9.9 Retail & CPG Market by Regions
       9.10. Media & Entertainment Market by Regions
       9.11 Others Market by Regions
 
10 . GLOBAL AI IN FRAUD MANAGEMENT MARKET ANALYSIS BY GEOGRAPHY
       10.1. Regional Outlook
       10.2. Introduction
       10.3. North America
           10.3.1. Overview, Historic and Forecast Data
           10.3.2. North America By Segment
           10.3.3. North America By Country
           10.3.4. United State
           10.3.5. Canada
           10.3.6. Mexico
       10.4. Europe
           10.4.1. Overview, Historic and Forecast Data
           10.4.2. Europe by Segment
           10.4.3. Europe by Country
           10.4.4. United Kingdom
           10.4.5. France
           10.4.6. Germany
           10.4.7. Italy
           10.4.8. Russia
           10.4.9. Rest Of Europe
       10.5. Asia Pacific
           10.5.1. Overview, Historic and Forecast Data
           10.5.2. Asia Pacific by Segment
           10.5.3. Asia Pacific by Country
           10.5.4. China
           10.5.5. India
           10.5.6. Japan
           10.5.7. South Korea
           10.5.8. Australia
           10.5.9. Rest Of Asia Pacific
       10.6. Latin America
           10.6.1. Overview, Historic and Forecast Data
           10.6.2. Latin America by Segment
           10.6.3. Latin America by Country
           10.6.4. Brazil
           10.6.5. Argentina
           10.6.6. Peru
           10.6.7. Chile
           10.6.8. Rest of Latin America
       10.7. Middle East & Africa
           10.7.1. Overview, Historic and Forecast Data
           10.7.2. Middle East & Africa by Segment
           10.7.3. Middle East & Africa by Country
           10.7.4. Saudi Arabia
           10.7.5. UAE
           10.7.6. Israel
           10.7.7. South Africa
           10.7.8. Rest Of Middle East And Africa
 
11 . COMPETITIVE LANDSCAPE OF THE AI IN FRAUD MANAGEMENT COMPANIES
       11.1. Ai in Fraud Management Market Competition
       11.2. Partnership/Collaboration/Agreement
       11.3. Merger And Acquisitions
       11.4. New Product Launch
       11.5. Other Developments
 
12 . COMPANY PROFILES OF AI IN FRAUD MANAGEMENT INDUSTRY
       12.1. Company Share Analysis
       12.2. Market Concentration Rate
       12.3. IBM Corporation
           12.3.1. Company Overview
           12.3.2. Financials
           12.3.3. Products
           12.3.4. Recent Developments
       12.4. Cognizant
           12.4.1. Company Overview
           12.4.2. Financials
           12.4.3. Products
           12.4.4. Recent Developments
       12.5. Temenos AG
           12.5.1. Company Overview
           12.5.2. Financials
           12.5.3. Products
           12.5.4. Recent Developments
       12.6. Capgemini SE
           12.6.1. Company Overview
           12.6.2. Financials
           12.6.3. Products
           12.6.4. Recent Developments
       12.7. Subex Limited
           12.7.1. Company Overview
           12.7.2. Financials
           12.7.3. Products
           12.7.4. Recent Developments
       12.8. JuicyScore
           12.8.1. Company Overview
           12.8.2. Financials
           12.8.3. Products
           12.8.4. Recent Developments
       12.9. Hewlett Packard Enterprise
           12.9.1. Company Overview
           12.9.2. Financials
           12.9.3. Products
           12.9.4. Recent Developments
       12.10. MaxMind, Inc.
           12.10.1. Company Overview
           12.10.2. Financials
           12.10.3. Products
           12.10.4. Recent Developments
       12.11. BAE Systems plc.
           12.11.1. Company Overview
           12.11.2. Financials
           12.11.3. Products
           12.11.4. Recent Developments
       12.12. Pelican
           12.12.1. Company Overview
           12.12.2. Financials
           12.12.3. Products
           12.12.4. Recent Developments
       12.13. SAS Institute Inc.
           12.13.1. Company Overview
           12.13.2. Financials
           12.13.3. Products
           12.13.4. Recent Developments
       12.14. Splunk, Inc.
           12.14.1. Company Overview
           12.14.2. Financials
           12.14.3. Products
           12.14.4. Recent Developments
 
 *Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies
 
LIST OF TABLES

  • Market Snapshot
  • Drivers : Impact Analysis
  • Restraints : Impact Analysis
  • List of Raw Material
  • List of Raw Material Manufactures
  • List of Potential Buyers
  • COVID-19 Impact Analysis by Production, Import, Export and Demand
  • Pre V/S Post COVID-19
  • Estimated Impact Of The Coronavirus (Covid-19) Epidemic
  • COVID-19: Micro and Macro Factor Analysis
  • Analysis by Solution  (USD MN)
  • AI-powered Fraud Prevention Software Market by Geography (USD MN)
  • Services Market by Geography (USD MN)
  • Analysis Market by Application  (USD MN)
  • Identity Theft Protection Market by Geography (USD MN)
  • Payment Fraud Prevention Market by Geography (USD MN)
  • Anti-Money Laundering Market by Geography (USD MN)
  • Others Market by Geography (USD MN)
  • Analysis by Enterprise Size  (USD MN)
  • Small and Medium Enterprises (SMEs) Market by Geography (USD MN)
  • Large Enterprises Market by Geography (USD MN)
  • Analysis by Industry  (USD MN)
  • BFSI Market by Geography (USD MN)
  • IT & Telecom Market by Geography (USD MN)
  • Healthcare Market by Geography (USD MN)
  • Government Market by Geography (USD MN)
  • Education Market by Geography (USD MN)
  • Retail & CPG Market by Geography (USD MN)
  • Media & Entertainment Market by Geography (USD MN)
  • Others Market by Geography (USD MN)
  • Global Ai in Fraud Management Market by Geography (USD MN)
  • North America Market Analysis (USD MN)
  • United State Market Analysis (USD MN)
  • Canada Market Analysis (USD MN)
  • Mexico Market Analysis (USD MN)
  • Europe Market Analysis (USD MN)
  • Europe Market Estimate by Country (USD MN)
  • United Kingdom Market Analysis (USD MN)
  • France Market Analysis (USD MN)
  • Germany Market Analysis (USD MN)
  • Italy Market Analysis (USD MN)
  • Russia Market Analysis (USD MN)
  • Spain Market Analysis (USD MN)
  • Rest of Europe Market Analysis (USD MN)
  • Asia Pacific Market Analysis (USD MN)
  • China Market Analysis (USD MN)
  • Japan Market Analysis (USD MN)
  • India Market Analysis (USD MN)
  • South Korea Market Analysis (USD MN)
  • Australia Market Analysis (USD MN)
  • Rest of Asia Pacific Market Analysis (USD MN)
  • Latin America Market Analysis (USD MN)
  • Brazil Market Analysis (USD MN)
  • Argentina Market Analysis (USD MN)
  • Peru Market Analysis (USD MN)
  • Chile Market Analysis (USD MN)
  • Rest of Latin America Market Analysis (USD MN)
  • Middle East & Africa Market Analysis (USD MN)
  • Saudi Arabia Market Analysis (USD MN)
  • UAE Market Analysis (USD MN)
  • Israel Market Analysis (USD MN)
  • South Africa Market Analysis (USD MN)
  • Rest of Middle East and Africa Market Analysis (USD MN)
  • Partnership/Collaboration/Agreement
  • Mergers And Acquisiton
 
LIST OF FIGURES
 
  • Research Scope of Ai in Fraud Management Report
  • Market Research Process
  • Market Research Methodology
  • Global Ai in Fraud Management Market Size, by Region (USD MN)
  • Porters Five Forces Analysis
  • Market Attractiveness Analysis by Solution
  • Market Attractiveness Analysis by Application
  • Market Attractiveness Analysis by Enterprise Size
  • Market Attractiveness Analysis by Industry
  • Market Attractiveness Analysis by Region
  • Value Chain Analysis
  • Global Market Analysis by Solution  (USD MN)
  • AI-powered Fraud Prevention Software Market by Geography (USD MN)
  • Services Market by Geography (USD MN)
  • Global Market Analysis by Application  (USD MN)
  • Identity Theft Protection Market by Geography (USD MN)
  • Payment Fraud Prevention Market by Geography (USD MN)
  • Anti-Money Laundering Market by Geography (USD MN)
  • Others Market by Geography (USD MN)
  • Global Market Analysis by Enterprise Size  (USD MN)
  • Small and Medium Enterprises (SMEs) Market by Geography (USD MN)
  • Large Enterprises Market by Geography (USD MN)
  • Global Market Analysis by Industry  (USD MN)
  • BFSI Market by Geography (USD MN)
  • IT & Telecom Market by Geography (USD MN)
  • Healthcare Market by Geography (USD MN)
  • Government Market by Geography (USD MN)
  • Education Market by Geography (USD MN)
  • Retail & CPG Market by Geography (USD MN)
  • Media & Entertainment Market by Geography (USD MN)
  • Others Market by Geography (USD MN)
  • Global Market by Revenue
  • North America Market by Revenue
  • Europe Market by Revenue
  • Asia Pacific Market by Revenue
  • Latin America Market by Revenue
  • Middle East & Africa Market by Revenue
  • Recent Development in Industry
  • Company Market Share Analysis, 2020
 
* Kindly note that the above listed are the basic tables and figures of the report and are not limited to the TOC.

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