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 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.

Scope of the Report:

This report studies the Fraud Analytics market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Fraud Analytics market by product type and applications/end industries.

The global Fraud Analytics market is valued at xx million in 2017 and is expected to reach xx million by the end of 2023, growing at a CAGR of xx% between 2017 and 2023.

The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.

North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Fraud Analytics.

Europe also play important roles in global market, with market size of xx million in 2017 and will be xx million in 2023, with a CAGR of xx%.

Market Segment by Companies, this report covers

IBM

FICO

Oracle

SAS Institute

Dell EMC

Fair Issac

BAE Systems

DXC Technology

SAP

ACI Worldwide

Fiserv

ThreatMetrix

NICE Systems

Experian

LexisNexis

Market Segment by Regions, regional analysis covers

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India and Southeast Asia)

South America (Brazil, Argentina, Colombia)

Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Market Segment by Type, covers

Predictive Analytics

Customer Analytics

Social Media Analytics

Big Data Analytics

Behavioral Analytics

Market Segment by Applications, can be divided into

Telecommunication

Government/Public Sector

Healthcare

Real Estate

Energy and Power

Manufacturing

Other


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Table Of Content

Table of Contents



1 Fraud Analytics Market Overview

    1.1 Product Overview and Scope of Fraud Analytics

    1.2 Classification of Fraud Analytics by Types

        1.2.1 Global Fraud Analytics Revenue Comparison by Types (2017-2023)

        1.2.2 Global Fraud Analytics Revenue Market Share by Types in 2017

        1.2.3 Predictive Analytics

        1.2.4 Customer Analytics

        1.2.5 Social Media Analytics

        1.2.6 Big Data Analytics

        1.2.7 Behavioral Analytics

    1.3 Global Fraud Analytics Market by Application

        1.3.1 Global Fraud Analytics Market Size and Market Share Comparison by Applications (2013-2023)

        1.3.2 Telecommunication

        1.3.3 Government/Public Sector

        1.3.4 Healthcare

        1.3.5 Real Estate

        1.3.6 Energy and Power

        1.3.7 Manufacturing

        1.3.8 Other

    1.4 Global Fraud Analytics Market by Regions

        1.4.1 Global Fraud Analytics Market Size (Million ) Comparison by Regions (2013-2023)

        1.4.1 North America (USA, Canada and Mexico) Fraud Analytics Status and Prospect (2013-2023)

        1.4.2 Europe (Germany, France, UK, Russia and Italy) Fraud Analytics Status and Prospect (2013-2023)

        1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Fraud Analytics Status and Prospect (2013-2023)

        1.4.4 South America (Brazil, Argentina, Colombia) Fraud Analytics Status and Prospect (2013-2023)

        1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Fraud Analytics Status and Prospect (2013-2023)

    1.5 Global Market Size of Fraud Analytics (2013-2023)

2 Manufacturers Profiles

    2.1 IBM

        2.1.1 Business Overview

        2.1.2 Fraud Analytics Type and Applications

            2.1.2.1 Product A

            2.1.2.2 Product B

        2.1.3 IBM Fraud Analytics Revenue, Gross Margin and Market Share (2016-2017)

    2.2 FICO

        2.2.1 Business Overview

        2.2.2 Fraud Analytics Type and Applications

            2.2.2.1 Product A

            2.2.2.2 Product B

        2.2.3 FICO Fraud Analytics Revenue, Gross Margin and Market Share (2016-2017)

    2.3 Oracle

        2.3.1 Business Overview

        2.3.2 Fraud Analytics Type and Applications

            2.3.2.1 Product A

            2.3.2.2 Product B

        2.3.3 Oracle Fraud Analytics Revenue, Gross Margin and Market Share (2016-2017)

    2.4 SAS Institute

        2.4.1 Business Overview

        2.4.2 Fraud Analytics Type and Applications

            2.4.2.1 Product A

            2.4.2.2 Product B

        2.4.3 SAS Institute Fraud Analytics Revenue, Gross Margin and Market Share (2016-2017)

    2.5 Dell EMC

        2.5.1 Business Overview

        2.5.2 Fraud Analytics Type and Applications

            2.5.2.1 Product A

            2.5.2.2 Product B

        2.5.3 Dell EMC Fraud Analytics Revenue, Gross Margin and Market Share (2016-2017)

    2.6 Fair Issac

        2.6.1 Business Overview

        2.6.2 Fraud Analytics Type and Applications

            2.6.2.1 Product A

            2.6.2.2 Product B

        2.6.3 Fair Issac Fraud Analytics Revenue, Gross Margin and Market Share (2016-2017)

    2.7 BAE Systems

        2.7.1 Business Overview

        2.7.2 Fraud Analytics Type and Applications

            2.7.2.1 Product A

            2.7.2.2 Product B

        2.7.3 BAE Systems Fraud Analytics Revenue, Gross Margin and Market Share (2016-2017)

    2.8 DXC Technology

        2.8.1 Business Overview

        2.8.2 Fraud Analytics Type and Applications

            2.8.2.1 Product A

            2.8.2.2 Product B

        2.8.3 DXC Technology Fraud Analytics Revenue, Gross Margin and Market Share (2016-2017)

    2.9 SAP

        2.9.1 Business Overview

        2.9.2 Fraud Analytics Type and Applications

            2.9.2.1 Product A

            2.9.2.2 Product B

        2.9.3 SAP Fraud Analytics Revenue, Gross Margin and Market Share (2016-2017)

    2.10 ACI Worldwide

        2.10.1 Business Overview

        2.10.2 Fraud Analytics Type and Applications

            2.10.2.1 Product A

            2.10.2.2 Product B

        2.10.3 ACI Worldwide Fraud Analytics Revenue, Gross Margin and Market Share (2016-2017)

    2.11 Fiserv

        2.11.1 Business Overview

        2.11.2 Fraud Analytics Type and Applications

            2.11.2.1 Product A

            2.11.2.2 Product B

        2.11.3 Fiserv Fraud Analytics Revenue, Gross Margin and Market Share (2016-2017)

    2.12 ThreatMetrix

        2.12.1 Business Overview

        2.12.2 Fraud Analytics Type and Applications

            2.12.2.1 Product A

            2.12.2.2 Product B

        2.12.3 ThreatMetrix Fraud Analytics Revenue, Gross Margin and Market Share (2016-2017)

    2.13 NICE Systems

        2.13.1 Business Overview

        2.13.2 Fraud Analytics Type and Applications

            2.13.2.1 Product A

            2.13.2.2 Product B

        2.13.3 NICE Systems Fraud Analytics Revenue, Gross Margin and Market Share (2016-2017)

    2.14 Experian

        2.14.1 Business Overview

        2.14.2 Fraud Analytics Type and Applications

            2.14.2.1 Product A

            2.14.2.2 Product B

        2.14.3 Experian Fraud Analytics Revenue, Gross Margin and Market Share (2016-2017)

    2.15 LexisNexis

        2.15.1 Business Overview

        2.15.2 Fraud Analytics Type and Applications

            2.15.2.1 Product A

            2.15.2.2 Product B

        2.15.3 LexisNexis Fraud Analytics Revenue, Gross Margin and Market Share (2016-2017)

3 Global Fraud Analytics Market Competition, by Players

    3.1 Global Fraud Analytics Revenue and Share by Players (2013-2018)

    3.2 Market Concentration Rate

        3.2.1 Top 5 Fraud Analytics Players Market Share

        3.2.2 Top 10 Fraud Analytics Players Market Share

    3.3 Market Competition Trend

4 Global Fraud Analytics Market Size by Regions

    4.1 Global Fraud Analytics Revenue and Market Share by Regions

    4.2 North America Fraud Analytics Revenue and Growth Rate (2013-2018)

    4.3 Europe Fraud Analytics Revenue and Growth Rate (2013-2018)

    4.4 Asia-Pacific Fraud Analytics Revenue and Growth Rate (2013-2018)

    4.5 South America Fraud Analytics Revenue and Growth Rate (2013-2018)

    4.6 Middle East and Africa Fraud Analytics Revenue and Growth Rate (2013-2018)

5 North America Fraud Analytics Revenue by Countries

    5.1 North America Fraud Analytics Revenue by Countries (2013-2018)

    5.2 USA Fraud Analytics Revenue and Growth Rate (2013-2018)

    5.3 Canada Fraud Analytics Revenue and Growth Rate (2013-2018)

    5.4 Mexico Fraud Analytics Revenue and Growth Rate (2013-2018)

6 Europe Fraud Analytics Revenue by Countries

    6.1 Europe Fraud Analytics Revenue by Countries (2013-2018)

    6.2 Germany Fraud Analytics Revenue and Growth Rate (2013-2018)

    6.3 UK Fraud Analytics Revenue and Growth Rate (2013-2018)

    6.4 France Fraud Analytics Revenue and Growth Rate (2013-2018)

    6.5 Russia Fraud Analytics Revenue and Growth Rate (2013-2018)

    6.6 Italy Fraud Analytics Revenue and Growth Rate (2013-2018)

7 Asia-Pacific Fraud Analytics Revenue by Countries

    7.1 Asia-Pacific Fraud Analytics Revenue by Countries (2013-2018)

    7.2 China Fraud Analytics Revenue and Growth Rate (2013-2018)

    7.3 Japan Fraud Analytics Revenue and Growth Rate (2013-2018)

    7.4 Korea Fraud Analytics Revenue and Growth Rate (2013-2018)

    7.5 India Fraud Analytics Revenue and Growth Rate (2013-2018)

    7.6 Southeast Asia Fraud Analytics Revenue and Growth Rate (2013-2018)

8 South America Fraud Analytics Revenue by Countries

    8.1 South America Fraud Analytics Revenue by Countries (2013-2018)

    8.2 Brazil Fraud Analytics Revenue and Growth Rate (2013-2018)

    8.3 Argentina Fraud Analytics Revenue and Growth Rate (2013-2018)

    8.4 Colombia Fraud Analytics Revenue and Growth Rate (2013-2018)

9 Middle East and Africa Revenue Fraud Analytics by Countries

    9.1 Middle East and Africa Fraud Analytics Revenue by Countries (2013-2018)

    9.2 Saudi Arabia Fraud Analytics Revenue and Growth Rate (2013-2018)

    9.3 UAE Fraud Analytics Revenue and Growth Rate (2013-2018)

    9.4 Egypt Fraud Analytics Revenue and Growth Rate (2013-2018)

    9.5 Nigeria Fraud Analytics Revenue and Growth Rate (2013-2018)

    9.6 South Africa Fraud Analytics Revenue and Growth Rate (2013-2018)

10 Global Fraud Analytics Market Segment by Type

    10.1 Global Fraud Analytics Revenue and Market Share by Type (2013-2018)

    10.2 Global Fraud Analytics Market Forecast by Type (2018-2023)

    10.3 Predictive Analytics Revenue Growth Rate (2013-2023)

    10.4 Customer Analytics Revenue Growth Rate (2013-2023)

    10.5 Social Media Analytics Revenue Growth Rate (2013-2023)

    10.6 Big Data Analytics Revenue Growth Rate (2013-2023)

    10.7 Behavioral Analytics Revenue Growth Rate (2013-2023)

11 Global Fraud Analytics Market Segment by Application

    11.1 Global Fraud Analytics Revenue Market Share by Application (2013-2018)

    11.2 Fraud Analytics Market Forecast by Application (2018-2023)

    11.3 Telecommunication Revenue Growth (2013-2018)

    11.4 Government/Public Sector Revenue Growth (2013-2018)

    11.5 Healthcare Revenue Growth (2013-2018)

    11.6 Real Estate Revenue Growth (2013-2018)

    11.7 Energy and Power Revenue Growth (2013-2018)

    11.8 Manufacturing Revenue Growth (2013-2018)

    11.9 Other Revenue Growth (2013-2018)

12 Global Fraud Analytics Market Size Forecast (2018-2023)

    12.1 Global Fraud Analytics Market Size Forecast (2018-2023)

    12.2 Global Fraud Analytics Market Forecast by Regions (2018-2023)

    12.3 North America Fraud Analytics Revenue Market Forecast (2018-2023)

    12.4 Europe Fraud Analytics Revenue Market Forecast (2018-2023)

    12.5 Asia-Pacific Fraud Analytics Revenue Market Forecast (2018-2023)

    12.6 South America Fraud Analytics Revenue Market Forecast (2018-2023)

    12.7 Middle East and Africa Fraud Analytics Revenue Market Forecast (2018-2023)

13 Research Findings and Conclusion

14 Appendix

    14.1 Methodology

    14.2 Data Source

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