The global Fraud Analytics market is expected to reach US$ XX Million by 2027, with a CAGR of XX% from 2020 to 2027, based on newly published report.

The prime objective of this report is to provide the insights on the post COVID-19 impact which will help market players in this field evaluate their business approaches. Also, this report covers market segmentation by major market verdors, types, applications/end users and geography(North America, East Asia, Europe, South Asia, Southeast Asia, Middle East, Africa, Oceania, South America).

By Market Verdors:

IBM

FICO

Oracle

SAS Institute

Dell EMC

Fair Issac

BAE Systems

DXC Technology

SAP

ACI Worldwide

Fiserv

ThreatMetrix

NICE Systems

Experian

LexisNexis

By Types:

Predictive Analytics

Customer Analytics

Social Media Analytics

Big Data Analytics

Behavioral Analytics

By Applications:

Telecommunication

Government/Public Sector

Healthcare

Real Estate

Energy and Power

Manufacturing

Other

Key Indicators Analysed

Market Players & Competitor Analysis: The report covers the key players of the industry including Company Profile, Product Specifications, Production Capacity/Sales, Revenue, Price and Gross Margin 2016-2027 & Sales with a thorough analysis of the market’s competitive landscape and detailed information on vendors and comprehensive details of factors that will challenge the growth of major market vendors.

Global and Regional Market Analysis: The report includes Global & Regional market status and outlook 2016-2027. Further the report provides break down details about each region & countries covered in the report. Identifying its sales, sales volume & revenue forecast. With detailed analysis by types and applications.

Market Trends: Market key trends which include Increased Competition and Continuous Innovations.

Opportunities and Drivers: Identifying the Growing Demands and New Technology

Porters Five Force Analysis: The report provides with the state of competition in industry depending on five basic forces: threat of new entrants, bargaining power of suppliers, bargaining power of buyers, threat of substitute products or services, and existing industry rivalry.

Key Reasons to Purchase

To gain insightful analyses of the market and have comprehensive understanding of the global market and its commercial landscape.

Assess the production processes, major issues, and solutions to mitigate the development risk.

To understand the most affecting driving and restraining forces in the market and its impact in the global market.

Learn about the market strategies that are being adopted by leading respective organizations.

To understand the future outlook and prospects for the market.

Besides the standard structure reports, we also provide custom research according to specific requirements.

1 Report Overview

1.1 Study Scope and Definition

1.2 Research Methodology

1.2.1 Methodology/Research Approach

1.2.2 Data Source

1.3 Key Market Segments

1.4 Players Covered: Ranking by Fraud Analytics Revenue

1.5 Market Analysis by Type

1.5.1 Global Fraud Analytics Market Size Growth Rate by Type: 2021 VS 2027

1.5.2 Predictive Analytics

1.5.3 Customer Analytics

1.5.4 Social Media Analytics

1.5.5 Big Data Analytics

1.5.6 Behavioral Analytics

1.6 Market by Application

1.6.1 Global Fraud Analytics Market Share by Application: 2022-2027

1.6.2 Telecommunication

1.6.3 Government/Public Sector

1.6.4 Healthcare

1.6.5 Real Estate

1.6.6 Energy and Power

1.6.7 Manufacturing

1.6.8 Other

1.7 Coronavirus Disease 2019 (Covid-19) Impact Will Have a Severe Impact on Global Growth

1.7.1 Covid-19 Impact: Global GDP Growth, 2019, 2021 and 2022 Projections

1.7.2 Covid-19 Impact: Commodity Prices Indices

1.7.3 Covid-19 Impact: Global Major Government Policy

1.8 Study Objectives

1.9 Years Considered

2 Global Fraud Analytics Market Trends and Growth Strategy

2.1 Market Top Trends

2.2 Market Drivers

2.3 Market Challenges

2.4 Porter’s Five Forces Analysis

2.5 Market Growth Strategy

2.6 SWOT Analysis

3 Global Fraud Analytics Market Players Profiles

3.1 IBM

3.1.1 IBM Company Profile

3.1.2 IBM Fraud Analytics Product Specification

3.1.3 IBM Fraud Analytics Production Capacity, Revenue, Price and Gross Margin (2016-2021)

3.2 FICO

3.2.1 FICO Company Profile

3.2.2 FICO Fraud Analytics Product Specification

3.2.3 FICO Fraud Analytics Production Capacity, Revenue, Price and Gross Margin (2016-2021)

3.3 Oracle

3.3.1 Oracle Company Profile

3.3.2 Oracle Fraud Analytics Product Specification

3.3.3 Oracle Fraud Analytics Production Capacity, Revenue, Price and Gross Margin (2016-2021)

3.4 SAS Institute

3.4.1 SAS Institute Company Profile

3.4.2 SAS Institute Fraud Analytics Product Specification

3.4.3 SAS Institute Fraud Analytics Production Capacity, Revenue, Price and Gross Margin (2016-2021)

3.5 Dell EMC

3.5.1 Dell EMC Company Profile

3.5.2 Dell EMC Fraud Analytics Product Specification

3.5.3 Dell EMC Fraud Analytics Production Capacity, Revenue, Price and Gross Margin (2016-2021)

3.6 Fair Issac

3.6.1 Fair Issac Company Profile

3.6.2 Fair Issac Fraud Analytics Product Specification

3.6.3 Fair Issac Fraud Analytics Production Capacity, Revenue, Price and Gross Margin (2016-2021)

3.7 BAE Systems

3.7.1 BAE Systems Company Profile

3.7.2 BAE Systems Fraud Analytics Product Specification

3.7.3 BAE Systems Fraud Analytics Production Capacity, Revenue, Price and Gross Margin (2016-2021)

3.8 DXC Technology

3.8.1 DXC Technology Company Profile

3.8.2 DXC Technology Fraud Analytics Product Specification

3.8.3 DXC Technology Fraud Analytics Production Capacity, Revenue, Price and Gross Margin (2016-2021)

3.9 SAP

3.9.1 SAP Company Profile

3.9.2 SAP Fraud Analytics Product Specification

3.9.3 SAP Fraud Analytics Production Capacity, Revenue, Price and Gross Margin (2016-2021)

3.10 ACI Worldwide

3.10.1 ACI Worldwide Company Profile

3.10.2 ACI Worldwide Fraud Analytics Product Specification

3.10.3 ACI Worldwide Fraud Analytics Production Capacity, Revenue, Price and Gross Margin (2016-2021)

3.11 Fiserv

3.11.1 Fiserv Company Profile

3.11.2 Fiserv Fraud Analytics Product Specification

3.11.3 Fiserv Fraud Analytics Production Capacity, Revenue, Price and Gross Margin (2016-2021)

3.12 ThreatMetrix

3.12.1 ThreatMetrix Company Profile

3.12.2 ThreatMetrix Fraud Analytics Product Specification

3.12.3 ThreatMetrix Fraud Analytics Production Capacity, Revenue, Price and Gross Margin (2016-2021)

3.13 NICE Systems

3.13.1 NICE Systems Company Profile

3.13.2 NICE Systems Fraud Analytics Product Specification

3.13.3 NICE Systems Fraud Analytics Production Capacity, Revenue, Price and Gross Margin (2016-2021)

3.14 Experian

3.14.1 Experian Company Profile

3.14.2 Experian Fraud Analytics Product Specification

3.14.3 Experian Fraud Analytics Production Capacity, Revenue, Price and Gross Margin (2016-2021)

3.15 LexisNexis

3.15.1 LexisNexis Company Profile

3.15.2 LexisNexis Fraud Analytics Product Specification

3.15.3 LexisNexis Fraud Analytics Production Capacity, Revenue, Price and Gross Margin (2016-2021)

4 Global Fraud Analytics Market Competition by Market Players

4.1 Global Fraud Analytics Production Capacity Market Share by Market Players (2016-2021)

4.2 Global Fraud Analytics Revenue Market Share by Market Players (2016-2021)

4.3 Global Fraud Analytics Average Price by Market Players (2016-2021)

5 Global Fraud Analytics Production by Regions (2016-2021)

5.1 North America

5.1.1 North America Fraud Analytics Market Size (2016-2021)

5.1.2 Fraud Analytics Key Players in North America (2016-2021)

5.1.3 North America Fraud Analytics Market Size by Type (2016-2021)

5.1.4 North America Fraud Analytics Market Size by Application (2016-2021)

5.2 East Asia

5.2.1 East Asia Fraud Analytics Market Size (2016-2021)

5.2.2 Fraud Analytics Key Players in East Asia (2016-2021)

5.2.3 East Asia Fraud Analytics Market Size by Type (2016-2021)

5.2.4 East Asia Fraud Analytics Market Size by Application (2016-2021)

5.3 Europe

5.3.1 Europe Fraud Analytics Market Size (2016-2021)

5.3.2 Fraud Analytics Key Players in Europe (2016-2021)

5.3.3 Europe Fraud Analytics Market Size by Type (2016-2021)

5.3.4 Europe Fraud Analytics Market Size by Application (2016-2021)

5.4 South Asia

5.4.1 South Asia Fraud Analytics Market Size (2016-2021)

5.4.2 Fraud Analytics Key Players in South Asia (2016-2021)

5.4.3 South Asia Fraud Analytics Market Size by Type (2016-2021)

5.4.4 South Asia Fraud Analytics Market Size by Application (2016-2021)

5.5 Southeast Asia

5.5.1 Southeast Asia Fraud Analytics Market Size (2016-2021)

5.5.2 Fraud Analytics Key Players in Southeast Asia (2016-2021)

5.5.3 Southeast Asia Fraud Analytics Market Size by Type (2016-2021)

5.5.4 Southeast Asia Fraud Analytics Market Size by Application (2016-2021)

5.6 Middle East

5.6.1 Middle East Fraud Analytics Market Size (2016-2021)

5.6.2 Fraud Analytics Key Players in Middle East (2016-2021)

5.6.3 Middle East Fraud Analytics Market Size by Type (2016-2021)

5.6.4 Middle East Fraud Analytics Market Size by Application (2016-2021)

5.7 Africa

5.7.1 Africa Fraud Analytics Market Size (2016-2021)

5.7.2 Fraud Analytics Key Players in Africa (2016-2021)

5.7.3 Africa Fraud Analytics Market Size by Type (2016-2021)

5.7.4 Africa Fraud Analytics Market Size by Application (2016-2021)

5.8 Oceania

5.8.1 Oceania Fraud Analytics Market Size (2016-2021)

5.8.2 Fraud Analytics Key Players in Oceania (2016-2021)

5.8.3 Oceania Fraud Analytics Market Size by Type (2016-2021)

5.8.4 Oceania Fraud Analytics Market Size by Application (2016-2021)

5.9 South America

5.9.1 South America Fraud Analytics Market Size (2016-2021)

5.9.2 Fraud Analytics Key Players in South America (2016-2021)

5.9.3 South America Fraud Analytics Market Size by Type (2016-2021)

5.9.4 South America Fraud Analytics Market Size by Application (2016-2021)

5.10 Rest of the World

5.10.1 Rest of the World Fraud Analytics Market Size (2016-2021)

5.10.2 Fraud Analytics Key Players in Rest of the World (2016-2021)

5.10.3 Rest of the World Fraud Analytics Market Size by Type (2016-2021)

5.10.4 Rest of the World Fraud Analytics Market Size by Application (2016-2021)

6 Global Fraud Analytics Consumption by Region (2016-2021)

6.1 North America

6.1.1 North America Fraud Analytics Consumption by Countries

6.1.2 United States

6.1.3 Canada

6.1.4 Mexico

6.2 East Asia

6.2.1 East Asia Fraud Analytics Consumption by Countries

6.2.2 China

6.2.3 Japan

6.2.4 South Korea

6.3 Europe

6.3.1 Europe Fraud Analytics Consumption by Countries

6.3.2 Germany

6.3.3 United Kingdom

6.3.4 France

6.3.5 Italy

6.3.6 Russia

6.3.7 Spain

6.3.8 Netherlands

6.3.9 Switzerland

6.3.10 Poland

6.4 South Asia

6.4.1 South Asia Fraud Analytics Consumption by Countries

6.4.2 India

6.5 Southeast Asia

6.5.1 Southeast Asia Fraud Analytics Consumption by Countries

6.5.2 Indonesia

6.5.3 Thailand

6.5.4 Singapore

6.5.5 Malaysia

6.5.6 Philippines

6.6 Middle East

6.6.1 Middle East Fraud Analytics Consumption by Countries

6.6.2 Turkey

6.6.3 Saudi Arabia

6.6.4 Iran

6.6.5 United Arab Emirates

6.7 Africa

6.7.1 Africa Fraud Analytics Consumption by Countries

6.7.2 Nigeria

6.7.3 South Africa

6.8 Oceania

6.8.1 Oceania Fraud Analytics Consumption by Countries

6.8.2 Australia

6.9 South America

6.9.1 South America Fraud Analytics Consumption by Countries

6.9.2 Brazil

6.9.3 Argentina

6.10 Rest of the World

6.10.1 Rest of the World Fraud Analytics Consumption by Countries

7 Global Fraud Analytics Production Forecast by Regions (2022-2027)

7.1 Global Forecasted Production of Fraud Analytics (2022-2027)

7.2 Global Forecasted Revenue of Fraud Analytics (2022-2027)

7.3 Global Forecasted Price of Fraud Analytics (2022-2027)

7.4 Global Forecasted Production of Fraud Analytics by Region (2022-2027)

7.4.1 North America Fraud Analytics Production, Revenue Forecast (2022-2027)

7.4.2 East Asia Fraud Analytics Production, Revenue Forecast (2022-2027)

7.4.3 Europe Fraud Analytics Production, Revenue Forecast (2022-2027)

7.4.4 South Asia Fraud Analytics Production, Revenue Forecast (2022-2027)

7.4.5 Southeast Asia Fraud Analytics Production, Revenue Forecast (2022-2027)

7.4.6 Middle East Fraud Analytics Production, Revenue Forecast (2022-2027)

7.4.7 Africa Fraud Analytics Production, Revenue Forecast (2022-2027)

7.4.8 Oceania Fraud Analytics Production, Revenue Forecast (2022-2027)

7.4.9 South America Fraud Analytics Production, Revenue Forecast (2022-2027)

7.4.10 Rest of the World Fraud Analytics Production, Revenue Forecast (2022-2027)

7.5 Forecast by Type and by Application (2022-2027)

7.5.1 Global Sales Volume, Sales Revenue and Sales Price Forecast by Type (2022-2027)

7.5.2 Global Forecasted Consumption of Fraud Analytics by Application (2022-2027)

8 Global Fraud Analytics Consumption Forecast by Regions (2022-2027)

8.1 North America Forecasted Consumption of Fraud Analytics by Country

8.2 East Asia Market Forecasted Consumption of Fraud Analytics by Country

8.3 Europe Market Forecasted Consumption of Fraud Analytics by Countriy

8.4 South Asia Forecasted Consumption of Fraud Analytics by Country

8.5 Southeast Asia Forecasted Consumption of Fraud Analytics by Country

8.6 Middle East Forecasted Consumption of Fraud Analytics by Country

8.7 Africa Forecasted Consumption of Fraud Analytics by Country

8.8 Oceania Forecasted Consumption of Fraud Analytics by Country

8.9 South America Forecasted Consumption of Fraud Analytics by Country

8.10 Rest of the world Forecasted Consumption of Fraud Analytics by Country

9 Global Fraud Analytics Sales by Type (2016-2027)

9.1 Global Fraud Analytics Historic Market Size by Type (2016-2021)

9.2 Global Fraud Analytics Forecasted Market Size by Type (2022-2027)

10 Global Fraud Analytics Consumption by Application (2016-2027)

10.1 Global Fraud Analytics Historic Market Size by Application (2016-2021)

10.2 Global Fraud Analytics Forecasted Market Size by Application (2022-2027)

11 Global Fraud Analytics Manufacturing Cost Analysis

11.1 Fraud Analytics Key Raw Materials Analysis

11.1.1 Key Raw Materials

11.2 Proportion of Manufacturing Cost Structure

11.3 Manufacturing Process Analysis of Fraud Analytics

12 Global Fraud Analytics Marketing Channel, Distributors, Customers and Supply Chain

12.1 Marketing Channel

12.2 Fraud Analytics Distributors List

12.3 Fraud Analytics Customers

12.4 Fraud Analytics Supply Chain Analysis

13 Analyst's Viewpoints/Conclusions

14 Disclaimer

Methodology/Research Approach

This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.

Research Programs/Design

Historical Data (2015-2019)	Industry Trends Competitive Landscape By Company Expansion Mergers and Acquisitions Market Segment by Type by Application By Regions/ Geography	Value Status and Outlook Value for Major Players Market Share Growth Rate Present Situation Analysis Value Market Share Growth Rate Present Situation Analysis
Influencing Factors	Market Environment Government Policy Technological Changes Market Risks	Market Drivers Growing Demand of Downstream Reduction in Cost
Market Forecast (2021-2026)	Overall Size by Type by Application By Regions/Geography	Key Data (Value) Market Share Growth Rate CAGR (2021-2026)

Market Size Estimation

Top-down and bottom-up approaches are used to validate the global Voluntary Carbon Offset market size market and estimate the market size for Company, regions segments, product segments and Application (end users).

The market estimations in this report are based on the marketed sale price of Voluntary Carbon Offset (excluding any discounts provided by the player, distributor, wholesaler or traders). The percentage splits, market share, and breakdowns of the product segments are derived on the basis of weights assigned to each of the segments on the basis of their utilization rate and average sale price. The regional splits of the overall Voluntary Carbon Offset market and its sub-segments are based on the percentage adoption or utilization of the given product in the respective region or country.

Major Company in the market is identified through secondary research and their market revenues determined through primary and secondary research. Secondary research included the research of the annual and financial reports of the top Company; whereas, primary research included extensive interviews of key opinion leaders and industry experts such as experienced front-line staff, directors, CEOs and marketing executives. The percentage splits, market share, Growth Rate and breakdowns of the product markets are determined through using secondary sources and verified through the primary sources.

All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or other factors are not accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from Market Intellix and presented in this report

The following figure shows an illustrative representation of the overall market size estimation process used for this study.

Market Breakdown and Data Triangulation

After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation, extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub-segments listed in this report. Extensive qualitative and further quantitative analysis is also done from all the numbers arrived at in the complete market engineering process to list key information throughout the report.

Data Source

Secondary Sources

Secondary sources include such as press releases, annual reports, non-profit organizations, industry associations, governmental agencies and customs data, etc. This research study involves the usage of widespread secondary sources, directories, databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), and TRADING ECONOMICS, and News Network, statista, Federal Reserve Economic Data, annual reports, BIS Statistics, ICIS; company house documents; CAS(American Chemical Society); investor presentations; and SEC filings of companies. Secondary research was used to identify and collect information useful for the extensive, technical, market-oriented, and Hospitals study of the Voluntary Carbon Offset market. It was also used to obtain important information about the top companies, market classification and segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives.

Market Size	Segmental value Geographic Penetration Product Adoption Rate for Different market	Journals, Websites, and Press Releases Annual Reports and SEC Filings Company Websites and Press Releases Public and Paid Databases Market Intellix Data Repository
Market Position of Top Company	Product Financials Geographic value Mix Total Company value Business/Segmental value Mix
Qualitative Analysis	Influence Factors Market Potential Market Risks and Opportunities Industry Trends Geographical Features Government Policies	Company Websites and Press Releases Public and Paid Databases Annual Reports Industry Associations Market Intellix Data Repository

Primary Sources

In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product Company (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers, etc.

The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end use (product buyers), and related key executives from various key companies and organizations operating in the global market.

Primary research was conducted to identify segmentation Type, product price range, product Application, key Company, raw materials supply and the downstream demand, industry status and outlook, and key market dynamics such as risks, influence factors, opportunities, market barriers, industry trends, and key player strategies.

Key Executives Interviewed

Key Data Information from Primary Sources

Primary Sources	Parameters	Key Data
Market Segments(by Application, by Type)	Value by Type Status and Forecast Value by Application Value by Regions, Status and Forecast (2021-2026)	Value Market Share by Type Value Growth Rate by Type Value by Application Percentage and Growth Rate by Application Value Growth Rate and Market Share by Regions Market Size Status and Forecast (2021-2026)
Total Market	Overall Size, Status and Forecast	Market Size Status and Forecast (2021-2026)