Global Fraud Detection and Prevention Market

The Global Fraud Detection and Prevention Market was valued at USD 14.65 billion in 2016 and is projected to reach USD 78.18 billion by 2025, growing at a CAGR of 20.45% from 2017 to 2025.

Any illegal act involving the obtaining of something of value through willful misrepresentation is called fraud. Fraud Prevention and Detection is the prevention and detection and adequate response to fraudulent activitiesand prevents unauthorized access. A fraud prevention and detection system helps in real-time user-level decision making, device fingerprinting, and comprehensive scoring models that directly correlate to data quality that benefits the clients to expand revenues, recapture lost opportunity costs, minimize charge backs, and centralize fraud intelligence system.

Sample Infographics:



Market Dynamics:
1. Market Drivers
1.1 Incorporation of AI and machine learning for fraud detection
1.2 Increasing economies
1.3 Growing rate of online transaction over mobile and web applications
1.4 Rising fraudulent activities
1.5 Growing revenue loss for organizations
2. Market Restraints
2.1 Lack of awareness about possible fraudulent in various industries
2.2 Poor integration capabilities
2.3 Costly deployment
2.4 Prior detection of fraudulent activities

Market Segmentation:
The Global Fraud Detection and Prevention Market is segmented on the application, component, organization size, deployment model, vertical, and region.
1. By Application:
1.1 Mobile payment
1.2 Insurance claims
1.3 Electronic payment
1.4 Money laundering
1.5 Others

2. By Component:
2.1 Solution
2.1.1 Authentication
2.1.1.1 SFA
2.1.1.2 MFA
2.1.2 Fraud analytics
2.1.2.1 Social media analytics
2.1.2.2 Customer analytics
2.1.2.3 Predictive analytics
2.1.2.4 Behavioral analytics
2.1.2.5 Big data analytics
2.1.3 GRC solutions

2.2 Service
2.2.1 Managed services
2.2.2 Professional services
2.2.2.1 Support and maintenance
2.2.2.2 Training and education
2.2.2.3 Consulting


3. By Organization Size:
3.1 Large Enterprises
3.2 Small and Medium Business

4. By Deployment Model:
4.1 Cloud-based
4.2 On-premise

5. By Vertical:
5.1 Government and Defense
5.2 IT and Telecommunications
5.3 Banking, Financial Services, and Insurance (BFSI)
5.4 Real Estate
5.5 Healthcare
5.6 Others

6. By Region:
6.1 North America (U.S., Canada, Mexico)
6.2 Europe (Germany, UK, France, Rest of Europe)
6.3 Asia Pacific (China, India, Japan, Rest of Asia Pacific)
6.4 Latin America (Brazil, Argentina, Rest of Latin America)
6.5 Middle East & Africa

Competitive Landscape:
The major players in the market are as follows:
1. Experian Information Solutions, Inc.
2. Lexisnexis
3. Fair Isaac Corporation
4. IBM Corporation
5. Oracle Corporation
6. ACI Worldwide, Inc
7. SAS Institute
8. Fiserv, Inc.
9. BAE Systems
10. Nice Systems Ltd.
11. DXC Technology (CSC)
12. Threatmetrix, Inc.
13. SAP SE

These major players have adopted various organic as well as inorganic growth strategies such as mergers & acquisitions, new product launches, expansions, agreements, joint ventures, partnerships, and others to strengthen their position in this market.

RESEARCH METHODOLOGY OF VERIFIED MARKET INTELLIGENCE:
Research study on the Global Fraud Detection and Prevention Market was performed in five phases which include Secondary research, Primary research, subject matter expert advice, quality check and final review.
The market data was analyzed and forecasted using market statistical and coherent models. Also market shares and key trends were taken into consideration while making the report. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis.

To know more about the Research Methodology of Verified Market Intelligence and other aspects of the research study, kindly get in touch with our sales team.
INTRODUCTION OF GLOBAL FRAUD DETECTION AND PREVENTION MARKET
1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET INTELLIGENCE
3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources

4 GLOBAL FRAUD DETECTION AND PREVENTION MARKETOUTLOOK
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis
4.5 Regulatory Framework

5 GLOBAL FRAUD DETECTION AND PREVENTION MARKET, BY PRODUCT
5.1 Overview
6 By Application:
6.1 Mobile payment
6.2 Insurance claims
6.3 Electronic payment
6.4 Money laundering
6.5 Others

7 By Component:
7.1 Solution
7.1.1 Authentication
7.1.1.1 SFA
7.1.1.2 MFA
7.1.2 Fraud analytics
7.1.2.1 Social media analytics
7.1.2.2 Customer analytics
7.1.2.3 Predictive analytics
7.1.2.4 Behavioral analytics
7.1.2.5 Big data analytics
7.1.2.6
7.1.3 GRC solution

7.2 Service
7.2.1 Managed services
7.2.2 Professional services
7.2.2.1 Support and maintenance
7.2.2.2 Training and education
7.2.2.3 Consulting

8 By Organization Size:
8.1 Large Enterprises
8.2 Small and Medium Business

9 By Deployment Model:
9.1 Cloud-based
9.2 On-premise

10 By Vertical:
10.1 Government and Defense
10.2 IT and Telecommunications
10.3 Banking, Financial Services, and Insurance (BFSI)
10.4 Real Estate
10.5 Healthcare
10.6 Others

11 GLOBAL FRAUD DETECTION AND PREVENTION MARKET, BY GEOGRAPHY
11.1 Overview
11.2 North America Regional Market Estimates and Forecasts, 2012 - 2025
11.2.1 U.S.
11.2.2 Canada
11.2.3 Mexico
11.3 Europe Regional Market Estimates and Forecasts, 2012 - 2025
11.3.1 Germany
11.3.2 U.K.
11.3.3 France
11.3.4 Rest of Europe
11.4 Asia Pacific Regional Market Estimates and Forecasts, 2012 - 2025
11.4.1 China
11.4.2 Japan
11.4.3 India
11.4.4 Rest of Asia Pacific
11.5 Latin America Regional Market Estimates and Forecasts, 2012 - 2025
11.5.1 Brazil
11.5.2 Argentina
11.6 Rest of the World Regional Market Estimates and Forecasts, 2012 â€" 2025

12 GLOBAL FRAUD DETECTION AND PREVENTION MARKETCOMPETITIVE LANDSCAPE
12.1 Overview
12.2 Company Market Share
12.3 Vendor Landscape
12.4 Key Development Strategies

13 COMPANY PROFILES
13.1 Experian Information Solutions, Inc.
13.1.1 Overview
13.1.2 Financial Performance
13.1.3 Product Outlook
13.1.4 Key Developments

13.2 Lexisnexis
13.2.1 Overview
13.2.2 Financial Performance
13.2.3 Product Outlook
13.2.4 Key Developments

13.3 Fair Isaac Corporation
13.3.1 Overview
13.3.2 Financial Performance
13.3.3 Product Outlook
13.3.4 Key Developments

13.4 IBM Corporation
13.4.1 Overview
13.4.2 Financial Performance
13.4.3 Product Outlook
13.4.4 Key Developments

13.5 Oracle Corporation
13.5.1 Overview
13.5.2 Financial Performance
13.5.3 Product Outlook
13.5.4 Key Developments

13.6 ACI Worldwide, Inc
13.6.1 Overview
13.6.2 Financial Performance
13.6.3 Product Outlook
13.6.4 Key Developments

13.7 SAS Institute
13.7.1 Overview
13.7.2 Financial Performance
13.7.3 Product Outlook
13.7.4 Key Developments

13.8 Fiserv, Inc.
13.8.1 Overview
13.8.2 Financial Performance
13.8.3 Product Outlook
13.8.4 Key Developments

13.9 BAE Systems
13.9.1 Overview
13.9.2 Financial Performance
13.9.3 Product Outlook
13.9.4 Key Developments

13.10 Nice Systems Ltd.
13.10.1 Overview
13.10.2 Financial Performance
13.10.3 Product Outlook
13.10.4 Key Developments

13.11 DXC Technology
13.11.1 Overview
13.11.2 Financial Performance
13.11.3 Product Outlook
13.11.4 Key Developments
13.12 Threatmetrix, Inc.
13.12.1 Overview
13.12.2 Financial Performance
13.12.3 Product Outlook
13.12.4 Key Developments

13.13 SAP SE
13.13.1 Overview
13.13.2 Financial Performance
13.13.3 Product Outlook
13.13.4 Key Developments

14 Appendix
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