Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Fraud Analytics Market by Type (Predictive Analytics, Customer Analytics, Social Media Analytics, Big Data Analytics, Behavioral Analytics), By Application (Telecommunication, Government/Public Sector, Healthcare, Real Estate, Energy and Power, Manufacturing, Other) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Fraud Analytics Market by Type (Predictive Analytics, Customer Analytics, Social Media Analytics, Big Data Analytics, Behavioral Analytics), By Application (Telecommunication, Government/Public Sector, Healthcare, Real Estate, Energy and Power, Manufacturing, Other) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 323429 4200 Service & Software 377 210 Pages 4.6 (38)
                                          

Market Overview:


The global fraud analytics market is expected to grow at a CAGR of 16.8% from 2018 to 2030. The growth of the market can be attributed to the increasing adoption of predictive analytics, customer analytics, social media analytics, big data analytics, and behavioral analytics by organizations across different industries. Furthermore, the increasing demand for real-time fraud detection and prevention is also contributing to the growth of the global fraud Analytics market. However, lack of awareness about benefits offered by fraud Analytics solutions among small and medium businesses is restraining the growth of this market. The global Fraud Analytics Market can be segmented on the basis type (predictive Analytics, customer Analytics,, social mediaAnalytics,, big dataanalytics,, behavioralanalytics), application (telecommunication,, government/public sector,, healthcare,,,, energyand power,,,, manufacturing),and region (North America., Latin America., Europe., Asia Pacific and Middle East & Africa). Among these segments,.


Global Fraud Analytics Industry Outlook


Product Definition:


Fraud analytics is the process of analyzing data in order to identify and prevent fraudulent activity. Fraud analytics is important because it allows businesses to detect and prevent fraud before it causes significant damage.


Predictive Analytics:


Predictive analytics is a branch of statistics that uses historical information to predict future trends. It helps in identifying patterns from the past and apply those same patterns to forecast future events. In other words, it's an applied science that uses statistical techniques to anticipate or detect upcoming events based on historical data.


It has its applications in several fields such as BFSI (Banking, Financial Services.


Customer Analytics:


Customer analytics is a tool that helps organizations understand their customers better and also predicts customer behavior. It provides insights on the current state of the customers and also helps in planning future strategies to increase customer engagement. Customer analytics has applications across several industry verticals such as retail, telecom, financial services, media & entertainment, travel & hospitality among others.


Application Insights:


The telecommunication segment accounted for the largest market share in 2017 and is expected to continue its dominance over the forecast period. The growing adoption of social media platforms has led fraudsters to adopt new technologies rapidly, which has resulted in a fast-moving consumer goods (FMCG) industry adopting these analytics solutions as well. This trend is expected to continue over the forecast period, driving growth across all applications.


The government/public sector application segment is anticipated to witness substantial growth during the forecast period owing to increasing demand from organizations for risk management and decision-making based on real-time data regarding frauds or other transactions that may occur with customers or employees. Predictive analytics provides actionable insights into a customer¢â‚¬â„¢s behavior which enables organizations make better decisions about customers and their interactions with different departments within an organization thus resulting in increased revenue generation for governments/public sectors across various industries globally.


Regional Analysis:


North America dominated the global fraud analytics market in 2016 with a revenue share of over 35%. The growth can be attributed to various factors such as increasing government regulations and initiatives related to data security, technological advancements, and growing adoption of cloud computing. Moreover, the presence of major players in this region is also expected to drive demand for these services. For instance, according to an article published by IBM Security Intelligence Report & Analysis-03/2017 “The Changing Face Of Cybercrime: A Global Investigation” North America was found to be one of the most impacted regions across all industries due high volume and severity of attacks.


Asia Pacific is anticipated to witness significant growth over the forecast period owing primarilyto rising investments by governmentsin developing economies such as Indiaand Chinafor improving infrastructure development along with growing consumer electronics industry at a domestic level will drive demand for big data analytics solutions within these countries thereby driving regional market growth.


Growth Factors:


  • Increasing incidence of fraud in various industries
  • The increasing adoption of big data and analytics technologies by organizations
  • The increasing demand for anti-fraud solutions from banking, financial services, and insurance (BFSI) sector
  • The rising awareness about the benefits of fraud analytics among businesses and consumers alike
  • Proliferation of digital channels such as e-commerce, mobile commerce, and social media that are being increasingly used for fraudulent activities

Scope Of The Report

Report Attributes

Report Details

Report Title

Fraud Analytics Market Research Report

By Type

Predictive Analytics, Customer Analytics, Social Media Analytics, Big Data Analytics, Behavioral Analytics

By Application

Telecommunication, Government/Public Sector, Healthcare, Real Estate, Energy and Power, Manufacturing, Other

By Companies

IBM, FICO, Oracle, SAS Institute, Dell EMC, Fair Issac, BAE Systems, DXC Technology, SAP, ACI Worldwide, Fiserv, ThreatMetrix, NICE Systems, Experian, LexisNexis

Regions Covered

North America, Europe, APAC, Latin America, MEA

Base Year

2021

Historical Year

2019 to 2020 (Data from 2010 can be provided as per availability)

Forecast Year

2030

Number of Pages

210

Number of Tables & Figures

147

Customization Available

Yes, the report can be customized as per your need.


Global Fraud Analytics Market Report Segments:

The global Fraud Analytics market is segmented on the basis of:

Types

Predictive Analytics, Customer Analytics, Social Media Analytics, Big Data Analytics, Behavioral Analytics

The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.

Applications

Telecommunication, Government/Public Sector, Healthcare, Real Estate, Energy and Power, Manufacturing, Other

The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.

Some of the companies that are profiled in this report are:

  1. IBM
  2. FICO
  3. Oracle
  4. SAS Institute
  5. Dell EMC
  6. Fair Issac
  7. BAE Systems
  8. DXC Technology
  9. SAP
  10. ACI Worldwide
  11. Fiserv
  12. ThreatMetrix
  13. NICE Systems
  14. Experian
  15. LexisNexis

Global Fraud Analytics Market Overview


Highlights of The Fraud Analytics Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. Predictive Analytics
    2. Customer Analytics
    3. Social Media Analytics
    4. Big Data Analytics
    5. Behavioral Analytics
  1. By Application:

    1. Telecommunication
    2. Government/Public Sector
    3. Healthcare
    4. Real Estate
    5. Energy and Power
    6. Manufacturing
    7. Other
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. Government Policies, Macro & Micro economic factors are also included in the report.

We have studied the Fraud Analytics Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.

Regional Analysis

  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • Latin America

Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.

The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.

How you may use our products:

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Global Fraud Analytics Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. Customization of the Report Available

Frequently Asked Questions?


Fraud analytics is the process of analyzing data to identify and prevent fraud. This can include identifying patterns in customer behavior that may indicate they are attempting to commit fraud, as well as tracking down fraudulent activity and stopping it before it occurs.

Some of the key players operating in the fraud analytics market are IBM, FICO, Oracle, SAS Institute, Dell EMC, Fair Issac, BAE Systems, DXC Technology, SAP, ACI Worldwide, Fiserv, ThreatMetrix, NICE Systems, Experian, LexisNexis.

The fraud analytics market is expected to register a CAGR of 16.8%.

                                            
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Fraud Analytics Market Overview    4.1 Introduction       4.1.1 Market Taxonomy       4.1.2 Market Definition       4.1.3 Macro-Economic Factors Impacting the Market Growth    4.2 Fraud Analytics Market Dynamics       4.2.1 Market Drivers       4.2.2 Market Restraints       4.2.3 Market Opportunity    4.3 Fraud Analytics Market - Supply Chain Analysis       4.3.1 List of Key Suppliers       4.3.2 List of Key Distributors       4.3.3 List of Key Consumers    4.4 Key Forces Shaping the Fraud Analytics Market       4.4.1 Bargaining Power of Suppliers       4.4.2 Bargaining Power of Buyers       4.4.3 Threat of Substitution       4.4.4 Threat of New Entrants       4.4.5 Competitive Rivalry    4.5 Global Fraud Analytics Market Size & Forecast, 2020-2028       4.5.1 Fraud Analytics Market Size and Y-o-Y Growth       4.5.2 Fraud Analytics Market Absolute $ Opportunity

Chapter 5 Global  Market Analysis and Forecast by Type
   5.1 Introduction
      5.1.1 Key Market Trends & Growth Opportunities by Type
      5.1.2 Basis Point Share (BPS) Analysis by Type
      5.1.3 Absolute $ Opportunity Assessment by Type
   5.2  Market Size Forecast by Type
      5.2.1 Predictive Analytics
      5.2.2 Customer Analytics
      5.2.3 Social Media Analytics
      5.2.4 Big Data Analytics
      5.2.5 Behavioral Analytics
   5.3 Market Attractiveness Analysis by Type

Chapter 6 Global  Market Analysis and Forecast by Applications
   6.1 Introduction
      6.1.1 Key Market Trends & Growth Opportunities by Applications
      6.1.2 Basis Point Share (BPS) Analysis by Applications
      6.1.3 Absolute $ Opportunity Assessment by Applications
   6.2  Market Size Forecast by Applications
      6.2.1 Telecommunication
      6.2.2 Government/Public Sector
      6.2.3 Healthcare
      6.2.4 Real Estate
      6.2.5 Energy and Power
      6.2.6 Manufacturing
      6.2.7 Other
   6.3 Market Attractiveness Analysis by Applications

Chapter 7 Global Fraud Analytics Market Analysis and Forecast by Region
   7.1 Introduction
      7.1.1 Key Market Trends & Growth Opportunities by Region
      7.1.2 Basis Point Share (BPS) Analysis by Region
      7.1.3 Absolute $ Opportunity Assessment by Region
   7.2 Fraud Analytics Market Size Forecast by Region
      7.2.1 North America
      7.2.2 Europe
      7.2.3 Asia Pacific
      7.2.4 Latin America
      7.2.5 Middle East & Africa (MEA)
   7.3 Market Attractiveness Analysis by Region

Chapter 8 Coronavirus Disease (COVID-19) Impact 
   8.1 Introduction 
   8.2 Current & Future Impact Analysis 
   8.3 Economic Impact Analysis 
   8.4 Government Policies 
   8.5 Investment Scenario

Chapter 9 North America  Analysis and Forecast
   9.1 Introduction
   9.2 North America  Market Size Forecast by Country
      9.2.1 U.S.
      9.2.2 Canada
   9.3 Basis Point Share (BPS) Analysis by Country
   9.4 Absolute $ Opportunity Assessment by Country
   9.5 Market Attractiveness Analysis by Country
   9.6 North America  Market Size Forecast by Type
      9.6.1 Predictive Analytics
      9.6.2 Customer Analytics
      9.6.3 Social Media Analytics
      9.6.4 Big Data Analytics
      9.6.5 Behavioral Analytics
   9.7 Basis Point Share (BPS) Analysis by Type 
   9.8 Absolute $ Opportunity Assessment by Type 
   9.9 Market Attractiveness Analysis by Type
   9.10 North America  Market Size Forecast by Applications
      9.10.1 Telecommunication
      9.10.2 Government/Public Sector
      9.10.3 Healthcare
      9.10.4 Real Estate
      9.10.5 Energy and Power
      9.10.6 Manufacturing
      9.10.7 Other
   9.11 Basis Point Share (BPS) Analysis by Applications 
   9.12 Absolute $ Opportunity Assessment by Applications 
   9.13 Market Attractiveness Analysis by Applications

Chapter 10 Europe  Analysis and Forecast
   10.1 Introduction
   10.2 Europe  Market Size Forecast by Country
      10.2.1 Germany
      10.2.2 France
      10.2.3 Italy
      10.2.4 U.K.
      10.2.5 Spain
      10.2.6 Russia
      10.2.7 Rest of Europe
   10.3 Basis Point Share (BPS) Analysis by Country
   10.4 Absolute $ Opportunity Assessment by Country
   10.5 Market Attractiveness Analysis by Country
   10.6 Europe  Market Size Forecast by Type
      10.6.1 Predictive Analytics
      10.6.2 Customer Analytics
      10.6.3 Social Media Analytics
      10.6.4 Big Data Analytics
      10.6.5 Behavioral Analytics
   10.7 Basis Point Share (BPS) Analysis by Type 
   10.8 Absolute $ Opportunity Assessment by Type 
   10.9 Market Attractiveness Analysis by Type
   10.10 Europe  Market Size Forecast by Applications
      10.10.1 Telecommunication
      10.10.2 Government/Public Sector
      10.10.3 Healthcare
      10.10.4 Real Estate
      10.10.5 Energy and Power
      10.10.6 Manufacturing
      10.10.7 Other
   10.11 Basis Point Share (BPS) Analysis by Applications 
   10.12 Absolute $ Opportunity Assessment by Applications 
   10.13 Market Attractiveness Analysis by Applications

Chapter 11 Asia Pacific  Analysis and Forecast
   11.1 Introduction
   11.2 Asia Pacific  Market Size Forecast by Country
      11.2.1 China
      11.2.2 Japan
      11.2.3 South Korea
      11.2.4 India
      11.2.5 Australia
      11.2.6 South East Asia (SEA)
      11.2.7 Rest of Asia Pacific (APAC)
   11.3 Basis Point Share (BPS) Analysis by Country
   11.4 Absolute $ Opportunity Assessment by Country
   11.5 Market Attractiveness Analysis by Country
   11.6 Asia Pacific  Market Size Forecast by Type
      11.6.1 Predictive Analytics
      11.6.2 Customer Analytics
      11.6.3 Social Media Analytics
      11.6.4 Big Data Analytics
      11.6.5 Behavioral Analytics
   11.7 Basis Point Share (BPS) Analysis by Type 
   11.8 Absolute $ Opportunity Assessment by Type 
   11.9 Market Attractiveness Analysis by Type
   11.10 Asia Pacific  Market Size Forecast by Applications
      11.10.1 Telecommunication
      11.10.2 Government/Public Sector
      11.10.3 Healthcare
      11.10.4 Real Estate
      11.10.5 Energy and Power
      11.10.6 Manufacturing
      11.10.7 Other
   11.11 Basis Point Share (BPS) Analysis by Applications 
   11.12 Absolute $ Opportunity Assessment by Applications 
   11.13 Market Attractiveness Analysis by Applications

Chapter 12 Latin America  Analysis and Forecast
   12.1 Introduction
   12.2 Latin America  Market Size Forecast by Country
      12.2.1 Brazil
      12.2.2 Mexico
      12.2.3 Rest of Latin America (LATAM)
   12.3 Basis Point Share (BPS) Analysis by Country
   12.4 Absolute $ Opportunity Assessment by Country
   12.5 Market Attractiveness Analysis by Country
   12.6 Latin America  Market Size Forecast by Type
      12.6.1 Predictive Analytics
      12.6.2 Customer Analytics
      12.6.3 Social Media Analytics
      12.6.4 Big Data Analytics
      12.6.5 Behavioral Analytics
   12.7 Basis Point Share (BPS) Analysis by Type 
   12.8 Absolute $ Opportunity Assessment by Type 
   12.9 Market Attractiveness Analysis by Type
   12.10 Latin America  Market Size Forecast by Applications
      12.10.1 Telecommunication
      12.10.2 Government/Public Sector
      12.10.3 Healthcare
      12.10.4 Real Estate
      12.10.5 Energy and Power
      12.10.6 Manufacturing
      12.10.7 Other
   12.11 Basis Point Share (BPS) Analysis by Applications 
   12.12 Absolute $ Opportunity Assessment by Applications 
   12.13 Market Attractiveness Analysis by Applications

Chapter 13 Middle East & Africa (MEA)  Analysis and Forecast
   13.1 Introduction
   13.2 Middle East & Africa (MEA)  Market Size Forecast by Country
      13.2.1 Saudi Arabia
      13.2.2 South Africa
      13.2.3 UAE
      13.2.4 Rest of Middle East & Africa (MEA)
   13.3 Basis Point Share (BPS) Analysis by Country
   13.4 Absolute $ Opportunity Assessment by Country
   13.5 Market Attractiveness Analysis by Country
   13.6 Middle East & Africa (MEA)  Market Size Forecast by Type
      13.6.1 Predictive Analytics
      13.6.2 Customer Analytics
      13.6.3 Social Media Analytics
      13.6.4 Big Data Analytics
      13.6.5 Behavioral Analytics
   13.7 Basis Point Share (BPS) Analysis by Type 
   13.8 Absolute $ Opportunity Assessment by Type 
   13.9 Market Attractiveness Analysis by Type
   13.10 Middle East & Africa (MEA)  Market Size Forecast by Applications
      13.10.1 Telecommunication
      13.10.2 Government/Public Sector
      13.10.3 Healthcare
      13.10.4 Real Estate
      13.10.5 Energy and Power
      13.10.6 Manufacturing
      13.10.7 Other
   13.11 Basis Point Share (BPS) Analysis by Applications 
   13.12 Absolute $ Opportunity Assessment by Applications 
   13.13 Market Attractiveness Analysis by Applications

Chapter 14 Competition Landscape 
   14.1 Fraud Analytics Market: Competitive Dashboard
   14.2 Global Fraud Analytics Market: Market Share Analysis, 2019
   14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      14.3.1 IBM
      14.3.2 FICO
      14.3.3 Oracle
      14.3.4 SAS Institute
      14.3.5 Dell EMC
      14.3.6 Fair Issac
      14.3.7 BAE Systems
      14.3.8 DXC Technology
      14.3.9 SAP
      14.3.10 ACI Worldwide
      14.3.11 Fiserv
      14.3.12 ThreatMetrix
      14.3.13 NICE Systems
      14.3.14 Experian
      14.3.15 LexisNexis

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