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Fraud Analytics Software-Global Market Insights and Sales Trends 2025
Synopsis
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.
The global Fraud Analytics Software market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Fraud Analytics Software in various end use industries. The expanding demands from the Telecommunication, Government/Public Sector, Healthcare and Real Estate, are propelling Fraud Analytics Software market. Predictive Analytics Software, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Customer Analytics Software segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Fraud Analytics Software market, driven by demand from China, the second largest economy with some signs of stabilising, the Fraud Analytics Software market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Fraud Analytics Software, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Fraud Analytics Software market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Fraud Analytics Software market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Fraud Analytics Software sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Fraud Analytics Software covered in this report include IBM, FICO, Oracle, SAS Institute, Dell EMC, Fair Issac, BAE Systems, DXC Technology and SAP, etc.
The global Fraud Analytics Software market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
IBM
FICO
Oracle
SAS Institute
Dell EMC
Fair Issac
BAE Systems
DXC Technology
SAP
ACI Worldwide
Fiserv
ThreatMetrix
NICE Systems
Experian
LexisNexis
Global Fraud Analytics Software market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Fraud Analytics Software market, Segment by Type:
Predictive Analytics Software
Customer Analytics Software
Social Media Analytics Software
Big Data Analytics Software
Behavioral Analytics Software
Global Fraud Analytics Software market, by Application
Telecommunication
Government/Public Sector
Healthcare
Real Estate
Energy and Power
Manufacturing
Other
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Fraud Analytics Software companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
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.
The global Fraud Analytics Software market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Fraud Analytics Software in various end use industries. The expanding demands from the Telecommunication, Government/Public Sector, Healthcare and Real Estate, are propelling Fraud Analytics Software market. Predictive Analytics Software, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Customer Analytics Software segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Fraud Analytics Software market, driven by demand from China, the second largest economy with some signs of stabilising, the Fraud Analytics Software market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Fraud Analytics Software, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Fraud Analytics Software market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Fraud Analytics Software market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Fraud Analytics Software sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Fraud Analytics Software covered in this report include IBM, FICO, Oracle, SAS Institute, Dell EMC, Fair Issac, BAE Systems, DXC Technology and SAP, etc.
The global Fraud Analytics Software market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
IBM
FICO
Oracle
SAS Institute
Dell EMC
Fair Issac
BAE Systems
DXC Technology
SAP
ACI Worldwide
Fiserv
ThreatMetrix
NICE Systems
Experian
LexisNexis
Global Fraud Analytics Software market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Fraud Analytics Software market, Segment by Type:
Predictive Analytics Software
Customer Analytics Software
Social Media Analytics Software
Big Data Analytics Software
Behavioral Analytics Software
Global Fraud Analytics Software market, by Application
Telecommunication
Government/Public Sector
Healthcare
Real Estate
Energy and Power
Manufacturing
Other
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Fraud Analytics Software companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Index1 Market Overview of Fraud Analytics Software
1.1 Fraud Analytics Software Market Overview
1.1.1 Fraud Analytics Software Product Scope
1.1.2 Fraud Analytics Software Market Status and Outlook
1.2 Global Fraud Analytics Software Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Fraud Analytics Software Market Size by Region (2018-2029)
1.4 Global Fraud Analytics Software Historic Market Size by Region (2018-2023)
1.5 Global Fraud Analytics Software Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Fraud Analytics Software Market Size (2018-2029)
1.6.1 North America Fraud Analytics Software Market Size (2018-2029)
1.6.2 Europe Fraud Analytics Software Market Size (2018-2029)
1.6.3 Asia-Pacific Fraud Analytics Software Market Size (2018-2029)
1.6.4 Latin America Fraud Analytics Software Market Size (2018-2029)
1.6.5 Middle East & Africa Fraud Analytics Software Market Size (2018-2029)
2 Fraud Analytics Software Market by Type
2.1 Introduction
2.1.1 Predictive Analytics Software
2.1.2 Customer Analytics Software
2.1.3 Social Media Analytics Software
2.1.4 Big Data Analytics Software
2.1.5 Behavioral Analytics Software
2.2 Global Fraud Analytics Software Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Fraud Analytics Software Historic Market Size by Type (2018-2023)
2.2.2 Global Fraud Analytics Software Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Fraud Analytics Software Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Fraud Analytics Software Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Fraud Analytics Software Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Fraud Analytics Software Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Fraud Analytics Software Revenue Breakdown by Type (2018-2029)
3 Fraud Analytics Software Market Overview by Application
3.1 Introduction
3.1.1 Telecommunication
3.1.2 Government/Public Sector
3.1.3 Healthcare
3.1.4 Real Estate
3.1.5 Energy and Power
3.1.6 Manufacturing
3.1.7 Other
3.2 Global Fraud Analytics Software Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Fraud Analytics Software Historic Market Size by Application (2018-2023)
3.2.2 Global Fraud Analytics Software Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Fraud Analytics Software Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Fraud Analytics Software Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Fraud Analytics Software Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Fraud Analytics Software Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Fraud Analytics Software Revenue Breakdown by Application (2018-2029)
4 Fraud Analytics Software Competition Analysis by Players
4.1 Global Fraud Analytics Software Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Fraud Analytics Software as of 2022)
4.3 Date of Key Players Enter into Fraud Analytics Software Market
4.4 Global Top Players Fraud Analytics Software Headquarters and Area Served
4.5 Key Players Fraud Analytics Software Product Solution and Service
4.6 Competitive Status
4.6.1 Fraud Analytics Software Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 IBM
5.1.1 IBM Profile
5.1.2 IBM Main Business
5.1.3 IBM Fraud Analytics Software Products, Services and Solutions
5.1.4 IBM Fraud Analytics Software Revenue (US$ Million) & (2018-2023)
5.1.5 IBM Recent Developments
5.2 FICO
5.2.1 FICO Profile
5.2.2 FICO Main Business
5.2.3 FICO Fraud Analytics Software Products, Services and Solutions
5.2.4 FICO Fraud Analytics Software Revenue (US$ Million) & (2018-2023)
5.2.5 FICO Recent Developments
5.3 Oracle
5.3.1 Oracle Profile
5.3.2 Oracle Main Business
5.3.3 Oracle Fraud Analytics Software Products, Services and Solutions
5.3.4 Oracle Fraud Analytics Software Revenue (US$ Million) & (2018-2023)
5.3.5 SAS Institute Recent Developments
5.4 SAS Institute
5.4.1 SAS Institute Profile
5.4.2 SAS Institute Main Business
5.4.3 SAS Institute Fraud Analytics Software Products, Services and Solutions
5.4.4 SAS Institute Fraud Analytics Software Revenue (US$ Million) & (2018-2023)
5.4.5 SAS Institute Recent Developments
5.5 Dell EMC
5.5.1 Dell EMC Profile
5.5.2 Dell EMC Main Business
5.5.3 Dell EMC Fraud Analytics Software Products, Services and Solutions
5.5.4 Dell EMC Fraud Analytics Software Revenue (US$ Million) & (2018-2023)
5.5.5 Dell EMC Recent Developments
5.6 Fair Issac
5.6.1 Fair Issac Profile
5.6.2 Fair Issac Main Business
5.6.3 Fair Issac Fraud Analytics Software Products, Services and Solutions
5.6.4 Fair Issac Fraud Analytics Software Revenue (US$ Million) & (2018-2023)
5.6.5 Fair Issac Recent Developments
5.7 BAE Systems
5.7.1 BAE Systems Profile
5.7.2 BAE Systems Main Business
5.7.3 BAE Systems Fraud Analytics Software Products, Services and Solutions
5.7.4 BAE Systems Fraud Analytics Software Revenue (US$ Million) & (2018-2023)
5.7.5 BAE Systems Recent Developments
5.8 DXC Technology
5.8.1 DXC Technology Profile
5.8.2 DXC Technology Main Business
5.8.3 DXC Technology Fraud Analytics Software Products, Services and Solutions
5.8.4 DXC Technology Fraud Analytics Software Revenue (US$ Million) & (2018-2023)
5.8.5 DXC Technology Recent Developments
5.9 SAP
5.9.1 SAP Profile
5.9.2 SAP Main Business
5.9.3 SAP Fraud Analytics Software Products, Services and Solutions
5.9.4 SAP Fraud Analytics Software Revenue (US$ Million) & (2018-2023)
5.9.5 SAP Recent Developments
5.10 ACI Worldwide
5.10.1 ACI Worldwide Profile
5.10.2 ACI Worldwide Main Business
5.10.3 ACI Worldwide Fraud Analytics Software Products, Services and Solutions
5.10.4 ACI Worldwide Fraud Analytics Software Revenue (US$ Million) & (2018-2023)
5.10.5 ACI Worldwide Recent Developments
5.11 Fiserv
5.11.1 Fiserv Profile
5.11.2 Fiserv Main Business
5.11.3 Fiserv Fraud Analytics Software Products, Services and Solutions
5.11.4 Fiserv Fraud Analytics Software Revenue (US$ Million) & (2018-2023)
5.11.5 Fiserv Recent Developments
5.12 ThreatMetrix
5.12.1 ThreatMetrix Profile
5.12.2 ThreatMetrix Main Business
5.12.3 ThreatMetrix Fraud Analytics Software Products, Services and Solutions
5.12.4 ThreatMetrix Fraud Analytics Software Revenue (US$ Million) & (2018-2023)
5.12.5 ThreatMetrix Recent Developments
5.13 NICE Systems
5.13.1 NICE Systems Profile
5.13.2 NICE Systems Main Business
5.13.3 NICE Systems Fraud Analytics Software Products, Services and Solutions
5.13.4 NICE Systems Fraud Analytics Software Revenue (US$ Million) & (2018-2023)
5.13.5 NICE Systems Recent Developments
5.14 Experian
5.14.1 Experian Profile
5.14.2 Experian Main Business
5.14.3 Experian Fraud Analytics Software Products, Services and Solutions
5.14.4 Experian Fraud Analytics Software Revenue (US$ Million) & (2018-2023)
5.14.5 Experian Recent Developments
5.15 LexisNexis
5.15.1 LexisNexis Profile
5.15.2 LexisNexis Main Business
5.15.3 LexisNexis Fraud Analytics Software Products, Services and Solutions
5.15.4 LexisNexis Fraud Analytics Software Revenue (US$ Million) & (2018-2023)
5.15.5 LexisNexis Recent Developments
6 North America
6.1 North America Fraud Analytics Software Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Fraud Analytics Software Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Fraud Analytics Software Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Fraud Analytics Software Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Fraud Analytics Software Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Fraud Analytics Software Market Dynamics
11.1 Fraud Analytics Software Industry Trends
11.2 Fraud Analytics Software Market Drivers
11.3 Fraud Analytics Software Market Challenges
11.4 Fraud Analytics Software Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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