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,.
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:
- IBM
- FICO
- Oracle
- SAS Institute
- Dell EMC
- Fair Issac
- BAE Systems
- DXC Technology
- SAP
- ACI Worldwide
- Fiserv
- ThreatMetrix
- NICE Systems
- Experian
- LexisNexis
Highlights of The Fraud Analytics Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the 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
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- 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.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- 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