Fraud Detection and Prevention 2017 Global Market Key Players – IBM Corporation, Oracle, SAS Institute, SAP SE, BAE Systems – Analysis and Forecast to 2022

Fraud Detection and Prevention Market 2017

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Report Details:

This report provides in depth study of “Fraud Detection and Prevention Market” using SWOT analysis i.e. Strength, Weakness, Opportunities and Threat to the organization. The Fraud Detection and Prevention Market report also provides an in-depth survey of key players in the market which is based on the various objectives of an organization such as profiling, the product outline, the quantity of production, required raw material, and the financial health of the organization.

This report studies Fraud Detection and Prevention in Global market, especially in North America, China, Europe, Southeast Asia, Japan and India, with production, revenue, consumption, import and export in these regions, from 2012 to 2016, and forecast to 2022.

This report focuses on top manufacturers in global market, with production, price, revenue and market share for each manufacturer, covering 
IBM Corporation 
Oracle Corporation 
SAS Institute Inc. 
Fair Isaac Corporation 
SAP SE 
BAE Systems. 
ACI Worldwide 
NCR Limited 
Lavastorm 
ThreatMetrix

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On the basis of product, this report displays the production, revenue, price, market share and growth rate of each type, primarily split into 
Predictive Analytics 
Customer Analytics 
Social Media Analytics 
Bigdata Analytics 
Behavioral Analytics 
Single Factor Authentication 
Multi-Factor Authentication

By Application, the market can be split into 
BFSI 
Retail 
Healthcare 
Real Estate 
Manufacturing 
Others

By Regions, this report covers (we can add the regions/countries as you want) 
North America 
China 
Europe 
Southeast Asia 
Japan 
India

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Major Key Points in Table of Content:

1 Industry Overview of Fraud Detection and Prevention 
1.1 Definition and Specifications of Fraud Detection and Prevention 
1.1.1 Definition of Fraud Detection and Prevention 
1.1.2 Specifications of Fraud Detection and Prevention 
1.2 Classification of Fraud Detection and Prevention 
1.2.1 Predictive Analytics 
1.2.2 Customer Analytics 
1.2.3 Social Media Analytics 
1.2.4 Bigdata Analytics 
1.2.5 Behavioral Analytics 
1.2.6 Single Factor Authentication 
1.2.7 Multi-Factor Authentication 
1.3 Applications of Fraud Detection and Prevention 
1.3.1 BFSI 
1.3.2 Retail 
1.3.3 Healthcare 
1.3.4 Real Estate 
1.3.5 Manufacturing 
1.3.6 Others 
1.4 Market Segment by Regions 
1.4.1 North America 
1.4.2 China 
1.4.3 Europe 
1.4.4 Southeast Asia 
1.4.5 Japan 
1.4.6 India
….

8 Major Manufacturers Analysis of Fraud Detection and Prevention 
8.1 IBM Corporation 
8.1.1 Company Profile 
8.1.2 Product Picture and Specifications 
8.1.2.1 Product A 
8.1.2.2 Product B 
8.1.3 IBM Corporation 2016 Fraud Detection and Prevention Sales, Ex-factory Price, Revenue, Gross Margin Analysis 
8.1.4 IBM Corporation 2016 Fraud Detection and Prevention Business Region Distribution Analysis 
8.2 Oracle Corporation 
8.2.1 Company Profile 
8.2.2 Product Picture and Specifications 
8.2.2.1 Product A 
8.2.2.2 Product B 
8.2.3 Oracle Corporation 2016 Fraud Detection and Prevention Sales, Ex-factory Price, Revenue, Gross Margin Analysis 
8.2.4 Oracle Corporation 2016 Fraud Detection and Prevention Business Region Distribution Analysis 
8.3 SAS Institute Inc. 
8.3.1 Company Profile 
8.3.2 Product Picture and Specifications 
8.3.2.1 Product A 
8.3.2.2 Product B 
8.3.3 SAS Institute Inc. 2016 Fraud Detection and Prevention Sales, Ex-factory Price, Revenue, Gross Margin Analysis 
8.3.4 SAS Institute Inc. 2016 Fraud Detection and Prevention Business Region Distribution Analysis 
8.4 Fair Isaac Corporation 
8.4.1 Company Profile 
8.4.2 Product Picture and Specifications 
8.4.2.1 Product A 
8.4.2.2 Product B 
8.4.3 Fair Isaac Corporation 2016 Fraud Detection and Prevention Sales, Ex-factory Price, Revenue, Gross Margin Analysis 
8.4.4 Fair Isaac Corporation 2016 Fraud Detection and Prevention Business Region Distribution Analysis 
8.5 SAP SE 
8.5.1 Company Profile 
8.5.2 Product Picture and Specifications 
8.5.2.1 Product A 
8.5.2.2 Product B 
8.5.3 SAP SE 2016 Fraud Detection and Prevention Sales, Ex-factory Price, Revenue, Gross Margin Analysis 
8.5.4 SAP SE 2016 Fraud Detection and Prevention Business Region Distribution Analysis 
8.6 BAE Systems. 
8.6.1 Company Profile 
8.6.2 Product Picture and Specifications 
8.6.2.1 Product A 
8.6.2.2 Product B 
8.6.3 BAE Systems. 2016 Fraud Detection and Prevention Sales, Ex-factory Price, Revenue, Gross Margin Analysis 
8.6.4 BAE Systems. 2016 Fraud Detection and Prevention Business Region Distribution Analysis 
8.7 ACI Worldwide 
8.7.1 Company Profile 
8.7.2 Product Picture and Specifications 
8.7.2.1 Product A 
8.7.2.2 Product B 
8.7.3 ACI Worldwide 2016 Fraud Detection and Prevention Sales, Ex-factory Price, Revenue, Gross Margin Analysis 
8.7.4 ACI Worldwide 2016 Fraud Detection and Prevention Business Region Distribution Analysis 
8.8 NCR Limited 
8.8.1 Company Profile 
8.8.2 Product Picture and Specifications 
8.8.2.1 Product A 
8.8.2.2 Product B 
8.8.3 NCR Limited 2016 Fraud Detection and Prevention Sales, Ex-factory Price, Revenue, Gross Margin Analysis 
8.8.4 NCR Limited 2016 Fraud Detection and Prevention Business Region Distribution Analysis 
8.9 Lavastorm 
8.9.1 Company Profile 
8.9.2 Product Picture and Specifications 
8.9.2.1 Product A 
8.9.2.2 Product B 
8.9.3 Lavastorm 2016 Fraud Detection and Prevention Sales, Ex-factory Price, Revenue, Gross Margin Analysis 
8.9.4 Lavastorm 2016 Fraud Detection and Prevention Business Region Distribution Analysis 
8.10 ThreatMetrix 
8.10.1 Company Profile 
8.10.2 Product Picture and Specifications 
8.10.2.1 Product A 
8.10.2.2 Product B 
8.10.3 ThreatMetrix 2016 Fraud Detection and Prevention Sales, Ex-factory Price, Revenue, Gross Margin Analysis 
8.10.4 ThreatMetrix 2016 Fraud Detection and Prevention Business Region Distribution Analysis

Continued….

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