Table of Content


Chapter 1 Methodology & Scope
1.1 Scope & definitions
1.2 Methodology & forecast parameters
1.3 Region-wise COVID-19 impact analysis
1.3.1 North America
1.3.2 Europe
1.3.3 Asia Pacific
1.3.4 Latin America
1.3.5 Middle East & Africa
1.4 Data Sources
1.4.1 Secondary
1.4.2 Primary
Chapter 2 Executive Summary
2.1 Fraud detection & prevention industry 360 degree synopsis, 2017 – 2027
2.2 Business trends
2.3 Regional trends
2.4 Component trends
2.5 Fraud type trends
2.6 Application trends
2.7 End-use trends
Chapter 3 Fraud Detection & Prevention Industry Insights
3.1 Introduction
3.2 Industry segmentation
3.3 Impact of COVID-19 outbreak
3.3.1 Global outlook
3.3.2 By region
3.3.2.1 North America
3.3.2.2 Europe
3.3.2.3 Asia Pacific
3.3.2.4 Latin America
3.3.2.5 Middle East & Africa
3.3.3 Industry value chain
3.3.3.1 Suppliers
3.3.3.2 FDP technology providers
3.3.3.3 Marketing & distribution channels
3.3.4 Competitive landscape
3.3.4.1 Strategy
3.3.4.2 Business growth
3.4 Evolution of FDP
3.5 FDP industry architecture
3.6 Fraud triangle and fraud cycle
3.7 FDP industry ecosystem analysis
3.7.1 FDP software providers
3.7.2 FDP service providers
3.7.3 Fraud prevention hardware providers
3.7.4 System integrators
3.7.5 End users
3.7.6 Distribution channel
3.7.7 Profit margin analysis
3.7.8 Vendor matrix
3.8 Patent analysis
3.9 Investment portfolio
3.10 Technology & innovation landscape
3.10.1 Rule based fraud detection
3.10.2 Machine learning and deep learning
3.10.3 Fraud analytics
3.10.4 Blockchain technology
3.11 Regulatory landscape
3.11.1 Data protection regulations
3.11.1.1 Federal Information Security Management Act (FISMA)
3.11.1.2 Health Insurance Portability and Accountability Act (HIPAA)
3.11.1.3 Payment Card Industry Data Security Standard (PCI DSS)
3.11.1.4 The General Data Protection Regulation (GDPR)
3.11.1.5 The Gramm-Leach-Bliley Act (GLB) Act of 1999
3.11.1.6 The Sarbanes-Oxley Act of 2002
3.11.2 Banking regulations
3.11.2.1 Alternative Investment Fund Managers Directive (AIFMD)
3.11.2.2 Fraud Detection & Prevention Directive 2015/849/EU (FDPD)
3.11.2.3 Basel-III Regulations
3.11.2.4 Dodd–Frank Wall Street Reform and Consumer Protection Act
3.11.2.5 European Market Infrastructure Regulation (EMIR)
3.11.2.6 Foreign Account Tax Compliance Act (FATCA)
3.11.2.7 Indian Contract Act 1872
3.11.2.8 Markets in Financial Instruments Directive (MiFID)
3.11.2.9 Prevention of Money Laundering Act
3.12 Industry impact forces
3.12.1 Growth drivers
3.12.1.1 Increasingly stringent penalties on non-compliance with FDP regulations
3.12.1.2 Rise in revenue loss due to numerous financial frauds
3.12.1.3 Growing use of electronic and digital payment methods
3.12.1.4 Increase in the frequency of cyberattacks and frauds
3.12.1.5 Rapid surge in deployment of AI and big data analytics
3.12.2 Industry pitfalls & challenges
3.12.2.1 Lack of skilled professionals
3.12.2.2 High upfront costs associated with FDP solutions
3.13 Growth potential analysis
3.14 Porter’s analysis
3.15 PESTEL analysis
Chapter 4 Competitive Landscape
4.1 Introduction
4.2 Market share analysis, 2020
4.3 Chart key
4.4 Competitive analysis of key market players, 2020
4.4.1 DXC Technology Company
4.4.2 Experian plc
4.4.3 Fidelity National Information Services, Inc.
4.4.4 Fiserv, Inc
4.4.5 IBM Corporation
4.4.6 LexisNexis Risk Solutions
4.4.7 SAP SE
4.5 Competitive analysis of market innovators, 2020
4.5.1 ACI Worldwide Inc.
4.5.2 Avast Software s.r.o.
4.5.3 ESET spol.s r.o.
4.5.4 SAS Institute Inc
4.5.5 Webroot Inc.
4.6 Vendor adoption matrix
Chapter 5 Fraud Detection & Prevention Market, By Component
5.1 Fraud detection & prevention market share, by component, 2020 & 2027
5.2 Solution
5.2.1 Market estimates and forecast, 2017 – 2027
5.2.2 Fraud analytics
5.2.2.1 Market estimates and forecast, 2017 – 2027
5.2.3 Identity and authentication
5.2.3.1 Market estimates and forecast, 2017 – 2027
5.2.4 Governance, Risk and Compliance (GRC)
5.2.4.1 Market estimates and forecast, 2017 – 2027
5.2.5 Monitoring and reporting
5.2.5.1 Market estimates and forecast, 2017 – 2027
5.2.6 Others
5.2.6.1 Market estimates and forecast, 2017 – 2027
5.3 Service
5.3.1 Market estimates and forecast, 2017 – 2027
5.3.2 Professional service
5.3.2.1 Market estimates and forecast, 2017 – 2027
5.3.3 Managed service
5.3.3.1 Market estimates and forecast, 2017 – 2027
Chapter 6 Fraud Detection & Prevention Market, By Fraud Type
6.1 Fraud detection & prevention market share, by fraud type, 2020 & 2027
6.2 External fraud
6.2.1 Market estimates and forecast, 2017 – 2027
6.3 Internal fraud
6.3.1 Market estimates and forecast, 2017 – 2027
Chapter 7 Fraud Detection & Prevention Market, By Application
7.1 Fraud detection & prevention market share, by application, 2020 & 2027
7.2 Money laundering
7.2.1 Market estimates and forecast, 2017 – 2027
7.3 Credit and debit fraud
7.3.1 Market estimates and forecast, 2017 – 2027
7.4 Mobile fraud
7.4.1 Market estimates and forecast, 2017 – 2027
7.5 Identity threat
7.5.1 Market estimates and forecast, 2017 – 2027
7.6 Electronic fraud
7.6.1 Market estimates and forecast, 2017 – 2027
7.7 Others
7.7.1 Market estimates and forecast, 2017 – 2027
Chapter 8 Fraud Detection & Prevention Market, By End-use
8.1 Fraud detection & prevention market share, by end-use, 2020 & 2027
8.2 Banking
8.2.1 Market estimates and forecast, 2017 – 2027
8.3 Insurance
8.3.1 Market estimates and forecast, 2017 – 2027
8.4 Government
8.4.1 Market estimates and forecast, 2017 – 2027
8.5 Healthcare
8.5.1 Market estimates and forecast, 2017 – 2027
8.6 E-commerce
8.6.1 Market estimates and forecast, 2017 – 2027
8.7 Education
8.7.1 Market estimates and forecast, 2017 – 2027
8.8 Others
8.8.1 Market estimates and forecast, 2017 – 2027
Chapter 9 Fraud Detection & Prevention Market, By Region
9.1 Fraud detection & prevention market share, by region, 2020 & 2027
9.2 North America
9.2.1 Market estimates and forecast, 2017 – 2027
9.2.2 Market estimates and forecast, by component, 2017 – 2027
9.2.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.2.2.2 Market estimates and forecast, by service, 2017 – 2027
9.2.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.2.4 Market estimates and forecast, by application, 2017 – 2027
9.2.5 Market estimates and forecast, by end-use, 2017 – 2027
9.2.6 U.S.
9.2.6.1 Market estimates and forecast, 2017 – 2027
9.2.6.2 Market estimates and forecast, by component, 2017 – 2027
9.2.6.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.2.6.2.2 Market estimates and forecast, by service, 2017 – 2027
9.2.6.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.2.6.4 Market estimates and forecast, by application, 2017 – 2027
9.2.6.5 Market estimates and forecast, by end-use, 2017 – 2027
9.2.7 Canada
9.2.7.1 Market estimates and forecast, 2017 – 2027
9.2.7.2 Market estimates and forecast, by component, 2017 – 2027
9.2.7.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.2.7.2.2 Market estimates and forecast, by service, 2017 – 2027
9.2.7.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.2.7.4 Market estimates and forecast, by application, 2017 – 2027
9.2.7.5 Market estimates and forecast, by end-use, 2017 – 2027
9.3 Europe
9.3.1 Market estimates and forecast, 2017 – 2027
9.3.2 Market estimates and forecast, by component, 2017 – 2027
9.3.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.3.2.2 Market estimates and forecast, by service, 2017 – 2027
9.3.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.3.4 Market estimates and forecast, by application, 2017 – 2027
9.3.5 Market estimates and forecast, by end-use, 2017 – 2027
9.3.6 UK
9.3.6.1 Market estimates and forecast, 2017 – 2027
9.3.6.2 Market estimates and forecast, by component, 2017 – 2027
9.3.6.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.3.6.2.2 Market estimates and forecast, by service, 2017 – 2027
9.3.6.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.3.6.4 Market estimates and forecast, by application, 2017 – 2027
9.3.6.5 Market estimates and forecast, by end-use, 2017 – 2027
9.3.7 Germany
9.3.7.1 Market estimates and forecast, 2017 – 2027
9.3.7.2 Market estimates and forecast, by component, 2017 – 2027
9.3.7.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.3.7.2.2 Market estimates and forecast, by service, 2017 – 2027
9.3.7.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.3.7.4 Market estimates and forecast, by application, 2017 – 2027
9.3.7.5 Market estimates and forecast, by end-use, 2017 – 2027
9.3.8 France
9.3.8.1 Market estimates and forecast, 2017 – 2027
9.3.8.2 Market estimates and forecast, by component, 2017 – 2027
9.3.8.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.3.8.2.2 Market estimates and forecast, by service, 2017 – 2027
9.3.8.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.3.8.4 Market estimates and forecast, by application, 2017 – 2027
9.3.8.5 Market estimates and forecast, by end-use, 2017 – 2027
9.3.9 Italy
9.3.9.1 Market estimates and forecast, 2017 – 2027
9.3.9.2 Market estimates and forecast, by component, 2017 – 2027
9.3.9.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.3.9.2.2 Market estimates and forecast, by service, 2017 – 2027
9.3.9.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.3.9.4 Market estimates and forecast, by application, 2017 – 2027
9.3.9.5 Market estimates and forecast, by end-use, 2017 – 2027
9.3.10 Spain
9.3.10.1 Market estimates and forecast, 2017 – 2027
9.3.10.2 Market estimates and forecast, by component, 2017 – 2027
9.3.10.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.3.10.2.2 Market estimates and forecast, by service, 2017 – 2027
9.3.10.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.3.10.4 Market estimates and forecast, by application, 2017 – 2027
9.3.10.5 Market estimates and forecast, by end-use, 2017 – 2027
9.3.11 Netherlands
9.3.11.1 Market estimates and forecast, 2017 – 2027
9.3.11.2 Market estimates and forecast, by component, 2017 – 2027
9.3.11.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.3.11.2.2 Market estimates and forecast, by service, 2017 – 2027
9.3.11.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.3.11.4 Market estimates and forecast, by application, 2017 – 2027
9.3.11.5 Market estimates and forecast, by end-use, 2017 – 2027
9.3.12 Denmark
9.3.12.1 Market estimates and forecast, 2017 – 2027
9.3.12.2 Market estimates and forecast, by component, 2017 – 2027
9.3.12.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.3.12.2.2 Market estimates and forecast, by service, 2017 – 2027
9.3.12.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.3.12.4 Market estimates and forecast, by application, 2017 – 2027
9.3.12.5 Market estimates and forecast, by end-use, 2017 – 2027
9.3.13 Sweden
9.3.13.1 Market estimates and forecast, 2017 – 2027
9.3.13.2 Market estimates and forecast, by component, 2017 – 2027
9.3.13.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.3.13.2.2 Market estimates and forecast, by service, 2017 – 2027
9.3.13.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.3.13.4 Market estimates and forecast, by application, 2017 – 2027
9.3.13.5 Market estimates and forecast, by end-use, 2017 – 2027
9.4 Asia Pacific
9.4.1 Market estimates and forecast, 2017 – 2027
9.4.2 Market estimates and forecast, by component, 2017 – 2027
9.4.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.4.2.2 Market estimates and forecast, by service, 2017 – 2027
9.4.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.4.4 Market estimates and forecast, by application, 2017 – 2027
9.4.5 Market estimates and forecast, by end-use, 2017 – 2027
9.4.6 China
9.4.6.1 Market estimates and forecast, 2017 – 2027
9.4.6.2 Market estimates and forecast, by component, 2017 – 2027
9.4.6.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.4.6.2.2 Market estimates and forecast, by service, 2017 – 2027
9.4.6.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.4.6.4 Market estimates and forecast, by application, 2017 – 2027
9.4.6.5 Market estimates and forecast, by end-use, 2017 – 2027
9.4.7 India
9.4.7.1 Market estimates and forecast, 2017 – 2027
9.4.7.2 Market estimates and forecast, by component, 2017 – 2027
9.4.7.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.4.7.2.2 Market estimates and forecast, by service, 2017 – 2027
9.4.7.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.4.7.4 Market estimates and forecast, by application, 2017 – 2027
9.4.7.5 Market estimates and forecast, by end-use, 2017 – 2027
9.4.8 Japan
9.4.8.1 Market estimates and forecast, 2017 – 2027
9.4.8.2 Market estimates and forecast, by component, 2017 – 2027
9.4.8.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.4.8.2.2 Market estimates and forecast, by service, 2017 – 2027
9.4.8.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.4.8.4 Market estimates and forecast, by application, 2017 – 2027
9.4.8.5 Market estimates and forecast, by end-use, 2017 – 2027
9.4.9 South Korea
9.4.9.1 Market estimates and forecast, 2017 – 2027
9.4.9.2 Market estimates and forecast, by component, 2017 – 2027
9.4.9.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.4.9.2.2 Market estimates and forecast, by service, 2017 – 2027
9.4.9.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.4.9.4 Market estimates and forecast, by application, 2017 – 2027
9.4.9.5 Market estimates and forecast, by end-use, 2017 – 2027
9.4.10 Australia
9.4.10.1 Market estimates and forecast, 2017 – 2027
9.4.10.2 Market estimates and forecast, by component, 2017 – 2027
9.4.10.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.4.10.2.2 Market estimates and forecast, by service, 2017 – 2027
9.4.10.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.4.10.4 Market estimates and forecast, by application, 2017 – 2027
9.4.10.5 Market estimates and forecast, by end-use, 2017 – 2027
9.4.11 Singapore
9.4.11.1 Market estimates and forecast, 2017 – 2027
9.4.11.2 Market estimates and forecast, by component, 2017 – 2027
9.4.11.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.4.11.2.2 Market estimates and forecast, by service, 2017 – 2027
9.4.11.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.4.11.4 Market estimates and forecast, by application, 2017 – 2027
9.4.11.5 Market estimates and forecast, by end-use, 2017 – 2027
9.5 Latin America
9.5.1 Market estimates and forecast, 2017 – 2027
9.5.2 Market estimates and forecast, by component, 2017 – 2027
9.5.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.5.2.2 Market estimates and forecast, by service, 2017 – 2027
9.5.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.5.4 Market estimates and forecast, by application, 2017 – 2027
9.5.5 Market estimates and forecast, by end-use, 2017 – 2027
9.5.6 Brazil
9.5.6.1 Market estimates and forecast, 2017 – 2027
9.5.6.2 Market estimates and forecast, by component, 2017 – 2027
9.5.6.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.5.6.2.2 Market estimates and forecast, by service, 2017 – 2027
9.5.6.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.5.6.4 Market estimates and forecast, by application, 2017 – 2027
9.5.6.5 Market estimates and forecast, by end-use, 2017 – 2027
9.5.7 Mexico
9.5.7.1 Market estimates and forecast, 2017 – 2027
9.5.7.2 Market estimates and forecast, by component, 2017 – 2027
9.5.7.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.5.7.2.2 Market estimates and forecast, by service, 2017 – 2027
9.5.7.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.5.7.4 Market estimates and forecast, by application, 2017 – 2027
9.5.7.5 Market estimates and forecast, by end-use, 2017 – 2027
9.5.8 Argentina
9.5.8.1 Market estimates and forecast, 2017 – 2027
9.5.8.2 Market estimates and forecast, by component, 2017 – 2027
9.5.8.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.5.8.2.2 Market estimates and forecast, by service, 2017 – 2027
9.5.8.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.5.8.4 Market estimates and forecast, by application, 2017 – 2027
9.5.8.5 Market estimates and forecast, by end-use, 2017 – 2027
9.5.9 Colombia
9.5.9.1 Market estimates and forecast, 2017 – 2027
9.5.9.2 Market estimates and forecast, by component, 2017 – 2027
9.5.9.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.5.9.2.2 Market estimates and forecast, by service, 2017 – 2027
9.5.9.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.5.9.4 Market estimates and forecast, by application, 2017 – 2027
9.5.9.5 Market estimates and forecast, by end-use, 2017 – 2027
9.6 MEA
9.6.1 Market estimates and forecast, 2017 – 2027
9.6.2 Market estimates and forecast, by component, 2017 – 2027
9.6.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.6.2.2 Market estimates and forecast, by service, 2017 – 2027
9.6.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.6.4 Market estimates and forecast, by application, 2017 – 2027
9.6.5 Market estimates and forecast, by end-use, 2017 – 2027
9.6.6 South Africa
9.6.6.1 Market estimates and forecast, 2017 – 2027
9.6.6.2 Market estimates and forecast, by component, 2017 – 2027
9.6.6.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.6.6.2.2 Market estimates and forecast, by service, 2017 – 2027
9.6.6.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.6.6.4 Market estimates and forecast, by application, 2017 – 2027
9.6.6.5 Market estimates and forecast, by end-use, 2017 – 2027
9.6.7 Saudi Arabia
9.6.7.1 Market estimates and forecast, 2017 – 2027
9.6.7.2 Market estimates and forecast, by component, 2017 – 2027
9.6.7.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.6.7.2.2 Market estimates and forecast, by service, 2017 – 2027
9.6.7.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.6.7.4 Market estimates and forecast, by application, 2017 – 2027
9.6.7.5 Market estimates and forecast, by end-use, 2017 – 2027
9.6.8 Israel
9.6.8.1 Market estimates and forecast, 2017 – 2027
9.6.8.2 Market estimates and forecast, by component, 2017 – 2027
9.6.8.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.6.8.2.2 Market estimates and forecast, by service, 2017 – 2027
9.6.8.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.6.8.4 Market estimates and forecast, by application, 2017 – 2027
9.6.8.5 Market estimates and forecast, by end-use, 2017 – 2027
9.6.9 UAE
9.6.9.1 Market estimates and forecast, 2017 – 2027
9.6.9.2 Market estimates and forecast, by component, 2017 – 2027
9.6.9.2.1 Market estimates and forecast, by solution, 2017 – 2027
9.6.9.2.2 Market estimates and forecast, by service, 2017 – 2027
9.6.9.3 Market estimates and forecast, by fraud type, 2017 – 2027
9.6.9.4 Market estimates and forecast, by application, 2017 – 2027
9.6.9.5 Market estimates and forecast, by end-use, 2017 – 2027
Chapter 10 Company Profiles
10.1 ACI Worldwide Inc.
10.1.1 Business Overview
10.1.2 Financial Data
10.1.3 Product Landscape
10.1.4 Strategic Outlook
10.1.5 SWOT Analysis
10.2 Arbutus Software Inc.
10.2.1 Business Overview
10.2.2 Financial Data
10.2.3 Product Landscape
10.2.4 Strategic Outlook
10.2.5 SWOT Analysis
10.3 Avast Software s.r.o.
10.3.1 Business Overview
10.3.2 Financial Data
10.3.3 Product Landscape
10.3.4 Strategic Outlook
10.3.5 SWOT Analysis
10.4 AVG Technologies
10.4.1 Business Overview
10.4.2 Financial Data
10.4.3 Product Landscape
10.4.4 Strategic Outlook
10.4.5 SWOT Analysis
10.5 DXC Technology Company
10.5.1 Business Overview
10.5.2 Financial Data
10.5.3 Product Landscape
10.5.4 Strategic Outlook
10.5.5 SWOT Analysis
10.6 ESET spol.s r.o.
10.6.1 Business Overview
10.6.2 Financial Data
10.6.3 Product Landscape
10.6.4 Strategic Outlook
10.6.5 SWOT Analysis
10.7 Experian plc
10.7.1 Business Overview
10.7.2 Financial Data
10.7.3 Product Landscape
10.7.4 Strategic Outlook
10.7.5 SWOT Analysis
10.8 Fiserv, Inc
10.8.1 Business Overview
10.8.2 Financial Data
10.8.3 Product Landscape
10.8.4 Strategic Outlook
10.8.5 SWOT Analysis
10.9 First Data Corporation
10.9.1 Business Overview
10.9.2 Financial Data
10.9.3 Product Landscape
10.9.4 Strategic Outlook
10.9.5 SWOT Analysis
10.10 Fidelity National Information Services, Inc.
10.10.1 Business Overview
10.10.2 Financial Data
10.10.3 Product Landscape
10.10.4 Strategic Outlook
10.10.5 SWOT Analysis
10.11 FRISS
10.11.1 Business Overview
10.11.2 Financial Data
10.11.3 Product Landscape
10.11.4 Strategic Outlook
10.11.5 SWOT Analysis
10.12 GreatHorn, Inc.
10.12.1 Business Overview
10.12.2 Financial Data
10.12.3 Product Landscape
10.12.4 Strategic Outlook
10.12.5 SWOT Analysis
10.13 Guardian Analytics
10.13.1 Business Overview
10.13.2 Financial Data
10.13.3 Product Landscape
10.13.4 Strategic Outlook
10.13.5 SWOT Analysis
10.14 IBM Corporation
10.14.1 Business Overview
10.14.2 Financial Data
10.14.3 Product Landscape
10.14.4 Strategic Outlook
10.14.5 SWOT Analysis
10.15 LexisNexis Risk Solutions
10.15.1 Business Overview
10.15.2 Financial Data
10.15.3 Product Landscape
10.15.4 Strategic Outlook
10.15.5 SWOT Analysis
10.16 SAP SE
10.16.1 Business Overview
10.16.2 Financial Data
10.16.3 Product Landscape
10.16.4 Strategic Outlook
10.16.5 SWOT Analysis
10.17 SAS Institute Inc
10.17.1 Business Overview
10.17.2 Financial Data
10.17.3 Product Landscape
10.17.4 Strategic Outlook
10.17.5 SWOT Analysis
10.18 SpyCloud, Inc.
10.18.1 Business Overview
10.18.2 Financial Data
10.18.3 Product Landscape
10.18.4 Strategic Outlook
10.18.5 SWOT Analysis
10.19 Trulioo
10.19.1 Business Overview
10.19.2 Financial Data
10.19.3 Product Landscape
10.19.4 Strategic Outlook
10.19.5 SWOT Analysis
10.20 Verifi, Inc.
10.20.1 Business Overview
10.20.2 Financial Data
10.20.3 Product Landscape
10.20.4 Strategic Outlook
10.20.5 SWOT Analysis
10.21 Webroot Inc.
10.21.1 Business Overview
10.21.2 Financial Data
10.21.3 Product Landscape
10.21.4 Strategic Outlook
10.21.5 SWOT Analysis