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Global Fraud Analytics Market 2015-5019

  • June 2015
  • -
  • Infiniti Research Limited
  • -
  • 72 pages

About Fraud Analytics
Fraud can be defined as an illegal activity that is intentional and uses misrepresentation to produce a financial gain to an individual or an organization. Fraud is on the rise and has become a boardroom issue these days. Fraud happens in different parts of the world, and fraudsters use very sophisticated and technology-enabled techniques. Fraud can be of various types, such as fraudulent transactions (both online and offline), inaccurate credit applications, identity thefts, and false insurance claims. Some of the major victims of fraud are credit card companies, insurance companies, retail merchants, telecom service providers, and business-to-business suppliers. Fraud analytics helps in analyzing various forms of stored data and gathered information and in converting them to actionable insights, thereby to detect fraud and take necessary actions required.
Technavio's analysts forecast the global fraud analytics market to grow at a CAGR of 24.04% over the period 2014-2019.

Covered in this Report
This report covers the present scenario and the growth prospects of the global fraud analytics market for the period 2015-2019. To calculate the market size, the report considers the revenue generated through the following:
• Software licenses and subscriptions
• Software implementation cost
• Technical support
• Maintenance cost and professional services
The report covers the segmentation of the market by deployment mode:
• Cloud fraud analytics solution
• On-premise fraud analytics solution
The report presents the vendor landscape and a corresponding detailed analysis of the major five vendors in the market.

Key Regions
• Americas
• APAC
• EMEA

Key Vendors
• Computer Sciences
• EMC
• Fair Issac
• SAP
• SAS Institute
Other Prominent Vendors

• ACI Worldwide
• Aquilan Technologies
• BAE Systems
• Bosch Software Innovations
• CustomerXPs
• Experian
• Fiserv
• IBM
• Oracle
• Paladion
• ValidSoft


Market Driver
• Need to Detect Fraud
• For a full, detailed list, view our report

Market Challenge
• High Implementation Cost
• For a full, detailed list, view our report

Market Trend
• High Demand Generation from SMEs
• For a full, detailed list, view our report

Key Questions Answered in this Report
• What will the market size be in 2019 and what will the growth rate be?
• What are the key market trends?
• What is driving this market?
• What are the challenges to market growth?
• Who are the key vendors in this market space?
• What are the market opportunities and threats faced by the key vendors?
• What are the strengths and weaknesses of the key vendors?

Table Of Contents

Global Fraud Analytics Market 2015-5019
01. Executive Summary
02. List of Abbreviations
03. Scope of the Report
03.1 Market Overview
03.2 Product Offerings
04. Market Research Methodology
04.1 Market Research Process
04.2 Research Methodology
05. Introduction
06. Market Landscape
06.1 Market Overview
06.2 Market Size and Forecast
06.3 Five Forces Analysis
07. Segmentation by Solution Type
08. Market Segmentation by Deployment Model
08.1 Global Fraud Analytics Market by Deployment Model 2014-2019
09. Geographical Segmentation
09.1 Segmentation of Global Fraud Analytics Market by Geography 2014
10. Key Leading Countries
10.1 US
10.2 Germany
10.3 Japan
11. Buying Criteria
12. Market Growth Drivers
13. Drivers and their Impact
14. Market Challenges
15. Impact of Drivers and Challenges
16. Market Trends
17. Trends and their Impact
18. Vendor Landscape
18.1 Competitive Scenario
18.2 Leading Vendors Analysis
18.3 Other Prominent Vendors
19. Key Vendor Analysis
19.1 CSC
19.1.1 Key Facts
19.1.2 Business Overview
19.1.3 Business Segmentation by Revenue 2013
19.1.4 Business Segmentation by Revenue 2012 and 2013
19.1.5 Geographical Segmentation by Revenue 2013
19.1.6 Business Strategy
19.1.7 Recent Developments
19.1.8 SWOT Analysis
19.2 EMC
19.2.1 Key Facts
19.2.2 Business Overview
19.2.3 Business Segmentation by Revenue 2013
19.2.4 Business Segmentation by Revenue 2012 and 2013
19.2.5 Geographical Segmentation by Revenue 2013
19.2.6 Business Strategy
19.2.7 Recent Developments
19.2.8 SWOT Analysis
19.3 FICO
19.3.1 Key Facts
19.3.2 Business Overview
19.3.3 Business Segmentation by Revenue 2014
19.3.4 Business Segmentation by Revenue 2013 and 2014
19.3.5 Geographical Segmentation by Revenue 2014
19.3.6 Business Strategy
19.3.7 Recent Developments
19.3.8 SWOT Analysis
19.4 SAP
19.4.1 Key Facts
19.4.2 Business Overview
19.4.3 Business Segmentation
19.4.4 Business Segmentation by Revenue 2013
19.4.5 Business Segmentation by Revenue 2012 and 2013
19.4.6 Geographical Segmentation by Revenue 2013
19.4.7 Business Strategy
19.4.8 Key Developments
19.4.9 SWOT Analysis
19.5 SAS Institute
19.5.1 Key Facts
19.5.2 Business Overview
19.5.3 Revenue Segmentation by Industry 2012
19.5.4 Geographical Segmentation by Revenue 2012
19.5.5 Business Strategy
19.5.6 Recent Developments
19.5.7 SWOT Analysis
20. Other Reports in this Series


List of Exhibits
Exhibit 1: Market Research Methodology
Exhibit 2: Fraud Detection and Prevention Market Overview
Exhibit 3: Market Overview: Fraud Analytics Application
Exhibit 4: Global Fraud Analytics Market 2014-2019 ($ billions)
Exhibit 5: Fraud Analytics by Solution Type
Exhibit 6: Global Fraud Analytics Market by Deployment Model 2014
Exhibit 7: Global Fraud Analytics Market by Deployment Model 2014-2019
Exhibit 8: Segmentation of Global Fraud Analytics Market by Geography 2014
Exhibit 9: Segmentation of Global Fraud Analytics Market by Geography 2014-2019
Exhibit 10: Segmentation of Global Fraud Analytics Market by Geography 2014-2019 ($ billions)
Exhibit 11: CSC: Business Segmentation by Revenue 2013
Exhibit 12: CSC: Business Segmentation by Revenue 2012 and 2013 ($ billions)
Exhibit 13: CSC: Geographical Segmentation by Revenue 2013
Exhibit 14: EMC: Business Segmentation by Revenue 2013
Exhibit 15: EMC: Business Segmentation by Revenue 2012 and 2013 (US$ million)
Exhibit 16: EMC: Geographical Segmentation by Revenue 2013
Exhibit 17: FICO: Business Segmentation by Revenue 2014
Exhibit 18: FICO: Business Segmentation by Revenue 2013 and 2014 ($ millions)
Exhibit 19: FICO: Geographical Segmentation by Revenue 2014
Exhibit 20: SAP: Business Segmentation
Exhibit 21: SAP: Business Segmentation by Revenue 2013
Exhibit 22: SAP: Business Segmentation by Revenue 2012 and 2013 ($ millions)
Exhibit 23: SAP: Geographical Segmentation by Revenue 2013
Exhibit 24: SAS Institute: Revenue Segmentation by Industry 2012
Exhibit 25: SAS Institute: Geographical Segmentation by Revenue 2012

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