Fraud Analytics Software Market Size, Share, and Trends Analysis Report
CAGR :
| Market Size 2024 (Base Year) | USD 2.93 Billion |
| Market Size 2032 (Forecast Year) | USD 8.32 Billion |
| CAGR | 13.95% |
| Forecast Period | 2025 - 2032 |
| Historical Period | 2020 - 2024 |
Insights into the Industry
The fraud analytics software industry has been witnessing optimal growth in recent years and is likely to continue even in upcoming years. The growth of fraud analytics software ’s industry size can be attributed to rising investments in research & development activities, entry of new players, product innovation, technological breakthroughs, effective allocation of resources, and growing competition among business rivals to expand its regional as well as customer base. Supportive government policies and incentives, as well as favorable laws, are projected to determine the growth of the fraud analytics software market in foreseeable future. An increase in the spending capacity of customers with the rise in disposable income will further contribute towards fraud analytics software 's market proceeds.
This market research report is a comprehensive overview of the events taking place in the fraud analytics software industry and impacting its growth. Our report divides the fraud analytics software market into various segments or categories based on products, applications, region, etc. Additionally, our research analysts have listed the key players of the global fraud analytics software market and compared them based on metrics such as market revenue, Y-O-Y sales, shipments volume, historical data, and successful implementation of business strategies such as strategic alliances, mergers & acquisitions, joint ventures, product development, and partnerships & collaborations.
Market Research Store (MRS) published a brand new report titled “Fraud Analytics Software Market research report which is segmented by Products (Predictive Analytics Software, Customer Analytics Software, Social Media Analytics Software, Big Data Analytics Software, Behavioral Analytics Software), by Applications (Telecommunication, Government/Public sector, Healthcare, Real Estate, Energy and Power, Manufacturing, Others), by Key Players/Companies Oracle, ThreatMetrix, LexisNexis, Experian, NICE Systems, Fiserv, Fair Issac, Dell EMC, ACI Worldwide, IBM, FICO, SAP, DXC Technology, BAE Systems, SAS Institute”. In 2020, the global fraud analytics software market value was registered at XX (USD Million/Billion) and is predicted to reach XX (USD Million/Billion) at a CAGR of XX% by 2028.
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| Report Attributes | Report Details |
|---|---|
| Report Title | Fraud Analytics Software Market Research Report |
| By Products | Predictive Analytics Software, Customer Analytics Software, Social Media Analytics Software, Big Data Analytics Software, Behavioral Analytics Software |
| By Applications | Telecommunication, Government/Public sector, Healthcare, Real Estate, Energy and Power, Manufacturing, Others |
| By Key Players | Oracle, ThreatMetrix, LexisNexis, Experian, NICE Systems, Fiserv, Fair Issac, Dell EMC, ACI Worldwide, IBM, FICO, SAP, DXC Technology, BAE Systems, SAS Institute |
| Regions Covered | North America, Europe, Asia Pacific (APAC), Latin America, Middle East And Africa (MEA) |
| Countries Covered | North America : U.S and Canada Europe : U.K, Spain, Germany, Italy, Russia, France, Rest of Europe APAC : Japan, India, China, Australia, South Korea, South East Asia, Rest of Asia Pacific Latin America : Mexico, Brazil The Middle East And Africa : South Africa, UAE, Saudi Arab, Rest of MEA |
| Base Year | 2020 |
| Historical Year | 2016to 2020 (Depending on availability, data from 2010 can be offered) |
| Forecast Year | 2028 |
| Number of Pages | 104 |
| Customization Available | Yes, the report can be tailored to meet your specific requirements. |
Based on these findings, the global fraud analytics software industry study suggests strategies to existing market participants as to how they can improve & reinforce their market position. In addition to this, the study also recommends successful market penetrating strategies for new entrants. Furthermore, fraud analytics software industry study report has included all major manufacturers and distributors operating in the fraud analytics software market across all major regions.
Fraud Analytics Software Market Strategic Analysis
Various analytical methods such as Porter’s Five Force Analysis, SWOT analysis, Market Share Analysis, Competitive Analysis, PESTEL Analysis, Market Attractiveness Analysis, and Value Chain Analysis have been used to analyze the market in the research report. These assessments help users of the report in examining and evaluating fraud analytics software market on the basis of different metrics such as switching costs, economies of scale, current sales, brand loyalty, brand equity, capital investments, production rights, research & development activities, copyrights & patents, legislations, effects of promotional activities, and consumer preferences.
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The information provided in our market research report is anticipated to help the industry stakeholders in the effective decision-making process and successful business outcomes. Moreover, we have been using Ansoff Matrix to help firms analyze and plan their business growth strategies.
Additionally, our report contains a growth-share matrix that aids firms’ business decisions for prioritizing their myriad businesses. We have also included GE Nine Cell Matrix that is helpful in making strategic planning and can help firms in determining their position in the market along with analyzing their growth strategies.
Our researchers also make use of the perceptual map to demonstrate how to target consumers feel about a given brand and form perception about it. We have also included the Customer-Based Brand Equity (CBBE) Model for helping firms effectively position their brands.
Fraud Analytics Software Market Key Trends Analysis
The key factors influencing the growth of the fraud analytics software market have been assessed in the report. Factors having a huge influence on market demand and restraining factors that impact the development of the market are both addressed rigorously & in-depth in our global market research report.
Furthermore, trends that play a key role in market’s growth are discussed comprehensively in the report. Moreover, a large number of qualitative factors or measurements are included in the report and this includes operating risks and major obstacles encountered by players in the industry.
Fraud Analytics Software Market Key Segment Analysis
The report delivers a critical assessment on the fraud analytics software market by segmenting it based on Products, Applications, and region. All the segments and categories of the fraud analytics software market have been evaluated based on past, present and future trends and are key parameters determining & defining the growth of the market.
The data for the market and its segments and categories are provided from 2016 to 2028. The report has identified the key segments and categories contributing substantially towards overall market growth in terms of revenue & volume.
Based on Products, the global fraud analytics software market is segmented into Predictive Analytics Software, Customer Analytics Software, Social Media Analytics Software, Big Data Analytics Software, Behavioral Analytics Software. Comprehensive qualitative and quantitative this segment analysis will be provided in the report from 2016 to 2028.
Based on Applications, market is divided into Telecommunication, Government/Public sector, Healthcare, Real Estate, Energy and Power, Manufacturing, Others. A slew of business growth opportunities and dynamics affecting the different segments are analyzed and discussed in the report.
Impact Assessment of COVID-19
The COVID-19 outbreak has wreaked havoc on worldwide economic and social systems. The disease has entered several industries' value and supply chains, including the fraud analytics software market. The government imposed lockdowns in various locations. We will examine the impact of the COVID-19 pandemic on the global market, looking at both demand and supply.
The COVID-19 pandemic's short- and long-term impacts would be explored to provide a summary. This would help build business plans for all market participants, including manufacturers, vendors, suppliers, distributors, and end-users, during and after the epidemic.
Fraud Analytics Software Market Regional Trends and Market Player’s Analysis
On the basis of region, the market is segregated into North America, Latin America, Asia Pacific, Europe, and the Middle East & Africa.
The major players holding a huge chunk of market share in the global fraud analytics software market and impacting market profitability are evaluated after considering their product & services revenue, sales, business plans, innovations, and growth rate. The final position of a player in the market depends on market events or market happenings, new product launches, mergers & acquisitions, benchmarking, regional expansions, and technical innovations.
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For all the key stakeholders of the market, value chain and technology ecosystem, as well as the information provided in this market research report, will prove beneficial. The study offers an outline of the company’s market share and an extensive summary of the major players in the fraud analytics software market.
Some of the leading players profiled in the global fraud analytics software market are,
- Oracle
- ThreatMetrix
- LexisNexis
- Experian
- NICE Systems
- Fiserv
- Fair Issac
- Dell EMC
- ACI Worldwide
- IBM
- FICO
- SAP
- DXC Technology
- BAE Systems
- SAS Institute
The Key Audiences for Fraud Analytics Software Market Report
- Research Institutes & consulting firms
- Industry Leaders, as well as companies, aspiring to enter the fraud analytics software market
- Student and universities
- Solution Providers, product providers, service providers, and other players in the industry
- Associated private firms and government bodies
- Individuals interested to learn about market
The report segments of the global fraud analytics software market are as follows:
Global Fraud Analytics Software Market: By Products
- Predictive Analytics Software
- Customer Analytics Software
- Social Media Analytics Software
- Big Data Analytics Software
- Behavioral Analytics Software
Global Fraud Analytics Software Market: By Applications
- Telecommunication
- Government/Public sector
- Healthcare
- Real Estate
- Energy and Power
- Manufacturing
- Others
The Most Important Research Methodologies
Primary sources include industry experts from management corporations, processing organizations, and analytical service providers who serve businesses across the sector's value chain. We interviewed key sources to acquire qualitative and quantitative data and analyse future prospects.
Primary research undertaken for this report comprised interviews with industry professionals such as CEOs, Vice Presidents, Marketing Directors and Technology Directors of strong core organizations and institutions in major fraud analytics software . We interviewed them to get qualitative and quantitative data.
The following are the justifications for purchasing the global Fraud Analytics Software market report:
- Statistical data is well-referenced, and the source is a significant resource for directing interested companies.
- Market development trends and marketing channels that are cutting-edge are discussed.
- The feasibility and growth rate of the market as a whole over the foreseeable future are determined.
- The competitive landscape and demographic research provide a clear picture of the current state of the market on an international scale.
- A thorough examination of development policies and plans, manufacturing processes, and costing provides a more accurate picture of import/export consumption, supply and demand, pricing, revenue, and gross margins, among other things.
- Customization is possible based on the client's requirements.
Frequently Asked Questions
- Oracle
- ThreatMetrix
- LexisNexis
- Experian
- NICE Systems
- Fiserv
- Fair Issac
- Dell EMC
- ACI Worldwide
- IBM
- FICO
- SAP
- DXC Technology
- BAE Systems
- SAS Institute
Which sectors are forecasted to occupied the highest share in the Fraud Analytics Software business?
Table Of Content
Table of Content 1 Report Overview 1.1 Study Scope 1.2 Key Market Segments 1.3 Regulatory Scenario by Region/Country 1.4 Market Investment Scenario Strategic 1.5 Market Analysis by Type 1.5.1 Global Fraud Analytics Software Market Share by Type (2020-2026) 1.5.2 Predictive Analytics Software 1.5.3 Customer Analytics Software 1.5.4 Social Media Analytics Software 1.5.5 Big Data Analytics Software 1.5.6 Behavioral Analytics Software 1.6 Market by Application 1.6.1 Global Fraud Analytics Software Market Share by Application (2020-2026) 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 Others 1.7 Fraud Analytics Software Industry Development Trends under COVID-19 Outbreak 1.7.1 Global COVID-19 Status Overview 1.7.2 Influence of COVID-19 Outbreak on Fraud Analytics Software Industry Development 2. Global Market Growth Trends 2.1 Industry Trends 2.1.1 SWOT Analysis 2.1.2 Porter’s Five Forces Analysis 2.2 Potential Market and Growth Potential Analysis 2.3 Industry News and Policies by Regions 2.3.1 Industry News 2.3.2 Industry Policies 2.4 Industry Trends Under COVID-19 3 Value Chain of Fraud Analytics Software Market 3.1 Value Chain Status 3.2 Fraud Analytics Software Manufacturing Cost Structure Analysis 3.2.1 Production Process Analysis 3.2.2 Manufacturing Cost Structure of Fraud Analytics Software 3.2.3 Labor Cost of Fraud Analytics Software 3.2.3.1 Labor Cost of Fraud Analytics Software Under COVID-19 3.3 Sales and Marketing Model Analysis 3.4 Downstream Major Customer Analysis (by Region) 3.5 Value Chain Status Under COVID-19 4 Players Profiles 4.1 Oracle 4.1.1 Oracle Basic Information 4.1.2 Fraud Analytics Software Product Profiles, Application and Specification 4.1.3 Oracle Fraud Analytics Software Market Performance (2015-2020) 4.1.4 Oracle Business Overview 4.2 ThreatMetrix 4.2.1 ThreatMetrix Basic Information 4.2.2 Fraud Analytics Software Product Profiles, Application and Specification 4.2.3 ThreatMetrix Fraud Analytics Software Market Performance (2015-2020) 4.2.4 ThreatMetrix Business Overview 4.3 LexisNexis 4.3.1 LexisNexis Basic Information 4.3.2 Fraud Analytics Software Product Profiles, Application and Specification 4.3.3 LexisNexis Fraud Analytics Software Market Performance (2015-2020) 4.3.4 LexisNexis Business Overview 4.4 Experian 4.4.1 Experian Basic Information 4.4.2 Fraud Analytics Software Product Profiles, Application and Specification 4.4.3 Experian Fraud Analytics Software Market Performance (2015-2020) 4.4.4 Experian Business Overview 4.5 NICE Systems 4.5.1 NICE Systems Basic Information 4.5.2 Fraud Analytics Software Product Profiles, Application and Specification 4.5.3 NICE Systems Fraud Analytics Software Market Performance (2015-2020) 4.5.4 NICE Systems Business Overview 4.6 Fiserv 4.6.1 Fiserv Basic Information 4.6.2 Fraud Analytics Software Product Profiles, Application and Specification 4.6.3 Fiserv Fraud Analytics Software Market Performance (2015-2020) 4.6.4 Fiserv Business Overview 4.7 Fair Issac 4.7.1 Fair Issac Basic Information 4.7.2 Fraud Analytics Software Product Profiles, Application and Specification 4.7.3 Fair Issac Fraud Analytics Software Market Performance (2015-2020) 4.7.4 Fair Issac Business Overview 4.8 Dell EMC 4.8.1 Dell EMC Basic Information 4.8.2 Fraud Analytics Software Product Profiles, Application and Specification 4.8.3 Dell EMC Fraud Analytics Software Market Performance (2015-2020) 4.8.4 Dell EMC Business Overview 4.9 ACI Worldwide 4.9.1 ACI Worldwide Basic Information 4.9.2 Fraud Analytics Software Product Profiles, Application and Specification 4.9.3 ACI Worldwide Fraud Analytics Software Market Performance (2015-2020) 4.9.4 ACI Worldwide Business Overview 4.10 IBM 4.10.1 IBM Basic Information 4.10.2 Fraud Analytics Software Product Profiles, Application and Specification 4.10.3 IBM Fraud Analytics Software Market Performance (2015-2020) 4.10.4 IBM Business Overview 4.11 FICO 4.11.1 FICO Basic Information 4.11.2 Fraud Analytics Software Product Profiles, Application and Specification 4.11.3 FICO Fraud Analytics Software Market Performance (2015-2020) 4.11.4 FICO Business Overview 4.12 SAP 4.12.1 SAP Basic Information 4.12.2 Fraud Analytics Software Product Profiles, Application and Specification 4.12.3 SAP Fraud Analytics Software Market Performance (2015-2020) 4.12.4 SAP Business Overview 4.13 DXC Technology 4.13.1 DXC Technology Basic Information 4.13.2 Fraud Analytics Software Product Profiles, Application and Specification 4.13.3 DXC Technology Fraud Analytics Software Market Performance (2015-2020) 4.13.4 DXC Technology Business Overview 4.14 BAE Systems 4.14.1 BAE Systems Basic Information 4.14.2 Fraud Analytics Software Product Profiles, Application and Specification 4.14.3 BAE Systems Fraud Analytics Software Market Performance (2015-2020) 4.14.4 BAE Systems Business Overview 4.15 SAS Institute 4.15.1 SAS Institute Basic Information 4.15.2 Fraud Analytics Software Product Profiles, Application and Specification 4.15.3 SAS Institute Fraud Analytics Software Market Performance (2015-2020) 4.15.4 SAS Institute Business Overview 5 Global Fraud Analytics Software Market Analysis by Regions 5.1 Global Fraud Analytics Software Sales, Revenue and Market Share by Regions 5.1.1 Global Fraud Analytics Software Sales by Regions (2015-2020) 5.1.2 Global Fraud Analytics Software Revenue by Regions (2015-2020) 5.2 North America Fraud Analytics Software Sales and Growth Rate (2015-2020) 5.3 Europe Fraud Analytics Software Sales and Growth Rate (2015-2020) 5.4 Asia-Pacific Fraud Analytics Software Sales and Growth Rate (2015-2020) 5.5 Middle East and Africa Fraud Analytics Software Sales and Growth Rate (2015-2020) 5.6 South America Fraud Analytics Software Sales and Growth Rate (2015-2020) 6 North America Fraud Analytics Software Market Analysis by Countries 6.1 North America Fraud Analytics Software Sales, Revenue and Market Share by Countries 6.1.1 North America Fraud Analytics Software Sales by Countries (2015-2020) 6.1.2 North America Fraud Analytics Software Revenue by Countries (2015-2020) 6.1.3 North America Fraud Analytics Software Market Under COVID-19 6.2 United States Fraud Analytics Software Sales and Growth Rate (2015-2020) 6.2.1 United States Fraud Analytics Software Market Under COVID-19 6.3 Canada Fraud Analytics Software Sales and Growth Rate (2015-2020) 6.4 Mexico Fraud Analytics Software Sales and Growth Rate (2015-2020) 7 Europe Fraud Analytics Software Market Analysis by Countries 7.1 Europe Fraud Analytics Software Sales, Revenue and Market Share by Countries 7.1.1 Europe Fraud Analytics Software Sales by Countries (2015-2020) 7.1.2 Europe Fraud Analytics Software Revenue by Countries (2015-2020) 7.1.3 Europe Fraud Analytics Software Market Under COVID-19 7.2 Germany Fraud Analytics Software Sales and Growth Rate (2015-2020) 7.2.1 Germany Fraud Analytics Software Market Under COVID-19 7.3 UK Fraud Analytics Software Sales and Growth Rate (2015-2020) 7.3.1 UK Fraud Analytics Software Market Under COVID-19 7.4 France Fraud Analytics Software Sales and Growth Rate (2015-2020) 7.4.1 France Fraud Analytics Software Market Under COVID-19 7.5 Italy Fraud Analytics Software Sales and Growth Rate (2015-2020) 7.5.1 Italy Fraud Analytics Software Market Under COVID-19 7.6 Spain Fraud Analytics Software Sales and Growth Rate (2015-2020) 7.6.1 Spain Fraud Analytics Software Market Under COVID-19 7.7 Russia Fraud Analytics Software Sales and Growth Rate (2015-2020) 7.7.1 Russia Fraud Analytics Software Market Under COVID-19 8 Asia-Pacific Fraud Analytics Software Market Analysis by Countries 8.1 Asia-Pacific Fraud Analytics Software Sales, Revenue and Market Share by Countries 8.1.1 Asia-Pacific Fraud Analytics Software Sales by Countries (2015-2020) 8.1.2 Asia-Pacific Fraud Analytics Software Revenue by Countries (2015-2020) 8.1.3 Asia-Pacific Fraud Analytics Software Market Under COVID-19 8.2 China Fraud Analytics Software Sales and Growth Rate (2015-2020) 8.2.1 China Fraud Analytics Software Market Under COVID-19 8.3 Japan Fraud Analytics Software Sales and Growth Rate (2015-2020) 8.3.1 Japan Fraud Analytics Software Market Under COVID-19 8.4 South Korea Fraud Analytics Software Sales and Growth Rate (2015-2020) 8.4.1 South Korea Fraud Analytics Software Market Under COVID-19 8.5 Australia Fraud Analytics Software Sales and Growth Rate (2015-2020) 8.6 India Fraud Analytics Software Sales and Growth Rate (2015-2020) 8.6.1 India Fraud Analytics Software Market Under COVID-19 8.7 Southeast Asia Fraud Analytics Software Sales and Growth Rate (2015-2020) 8.7.1 Southeast Asia Fraud Analytics Software Market Under COVID-19 9 Middle East and Africa Fraud Analytics Software Market Analysis by Countries 9.1 Middle East and Africa Fraud Analytics Software Sales, Revenue and Market Share by Countries 9.1.1 Middle East and Africa Fraud Analytics Software Sales by Countries (2015-2020) 9.1.2 Middle East and Africa Fraud Analytics Software Revenue by Countries (2015-2020) 9.1.3 Middle East and Africa Fraud Analytics Software Market Under COVID-19 9.2 Saudi Arabia Fraud Analytics Software Sales and Growth Rate (2015-2020) 9.3 UAE Fraud Analytics Software Sales and Growth Rate (2015-2020) 9.4 Egypt Fraud Analytics Software Sales and Growth Rate (2015-2020) 9.5 Nigeria Fraud Analytics Software Sales and Growth Rate (2015-2020) 9.6 South Africa Fraud Analytics Software Sales and Growth Rate (2015-2020) 10 South America Fraud Analytics Software Market Analysis by Countries 10.1 South America Fraud Analytics Software Sales, Revenue and Market Share by Countries 10.1.1 South America Fraud Analytics Software Sales by Countries (2015-2020) 10.1.2 South America Fraud Analytics Software Revenue by Countries (2015-2020) 10.1.3 South America Fraud Analytics Software Market Under COVID-19 10.2 Brazil Fraud Analytics Software Sales and Growth Rate (2015-2020) 10.2.1 Brazil Fraud Analytics Software Market Under COVID-19 10.3 Argentina Fraud Analytics Software Sales and Growth Rate (2015-2020) 10.4 Columbia Fraud Analytics Software Sales and Growth Rate (2015-2020) 10.5 Chile Fraud Analytics Software Sales and Growth Rate (2015-2020) 11 Global Fraud Analytics Software Market Segment by Types 11.1 Global Fraud Analytics Software Sales, Revenue and Market Share by Types (2015-2020) 11.1.1 Global Fraud Analytics Software Sales and Market Share by Types (2015-2020) 11.1.2 Global Fraud Analytics Software Revenue and Market Share by Types (2015-2020) 11.2 Predictive Analytics Software Sales and Price (2015-2020) 11.3 Customer Analytics Software Sales and Price (2015-2020) 11.4 Social Media Analytics Software Sales and Price (2015-2020) 11.5 Big Data Analytics Software Sales and Price (2015-2020) 11.6 Behavioral Analytics Software Sales and Price (2015-2020) 12 Global Fraud Analytics Software Market Segment by Applications 12.1 Global Fraud Analytics Software Sales, Revenue and Market Share by Applications (2015-2020) 12.1.1 Global Fraud Analytics Software Sales and Market Share by Applications (2015-2020) 12.1.2 Global Fraud Analytics Software Revenue and Market Share by Applications (2015-2020) 12.2 Telecommunication Sales, Revenue and Growth Rate (2015-2020) 12.3 Government/Public sector Sales, Revenue and Growth Rate (2015-2020) 12.4 Healthcare Sales, Revenue and Growth Rate (2015-2020) 12.5 Real Estate Sales, Revenue and Growth Rate (2015-2020) 12.6 Energy and Power Sales, Revenue and Growth Rate (2015-2020) 12.7 Manufacturing Sales, Revenue and Growth Rate (2015-2020) 12.8 Others Sales, Revenue and Growth Rate (2015-2020) 13 Fraud Analytics Software Market Forecast by Regions (2020-2026) 13.1 Global Fraud Analytics Software Sales, Revenue and Growth Rate (2020-2026) 13.2 Fraud Analytics Software Market Forecast by Regions (2020-2026) 13.2.1 North America Fraud Analytics Software Market Forecast (2020-2026) 13.2.2 Europe Fraud Analytics Software Market Forecast (2020-2026) 13.2.3 Asia-Pacific Fraud Analytics Software Market Forecast (2020-2026) 13.2.4 Middle East and Africa Fraud Analytics Software Market Forecast (2020-2026) 13.2.5 South America Fraud Analytics Software Market Forecast (2020-2026) 13.3 Fraud Analytics Software Market Forecast by Types (2020-2026) 13.4 Fraud Analytics Software Market Forecast by Applications (2020-2026) 13.5 Fraud Analytics Software Market Forecast Under COVID-19 14 Appendix 14.1 Methodology 14.2 Research Data SourceInquiry For Buying
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