Report Content
Chapter 1 Methodology & Scope
1.1 Scope & defintions
1.2 Methodology & forecast parameters
1.3 Region-wise COVID-19 impact anaysis
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 Text analytics industry 360º synopsis, 2016 – 2027
2.2 Business trends
2.3 Regional trends
2.4 component trends
2.5 deployment model trends
2.6 Application trends
Chapter 3 Text analytics 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 Text analytics technology providers
3.3.3.3 Marketing & distribution channels
3.3.4 Competitive landscape
3.3.4.1 Strategy
3.3.4.2 Distribution network
3.3.4.3 Business growth
3.4 Evolution of text analytics
3.5 Text analytics industry architecture
3.6 Text analytics industry ecosystem analysis
3.6.1 Text analytics providers
3.6.2 Cloud service providers
3.6.3 Third party service providers
3.6.4 Marketing and distribution channel
3.6.5 Vendor matrix
3.7 Technology & innovation landscape
3.7.1 Network virtualization
3.7.2 Big data analytics
3.7.3 Artificial Intelligence
3.7.4 Natural Language Processing (NLP)
3.8 Regulatory landscape
3.8.1 North America
3.8.1.1 Standards on Privacy and Web Analytics (Canada)
3.8.1.2 Health Insurance Portability and Accountability Act (HIPAA) of 1996 (U
3.8.2 Europe
3.8.2.1 General Data Protection Regulation (GDPR)
3.8.2.2 Exception of Text & Data Mining (TDM) in Copyright in Digital Single Market (DSM Draft Directive - EU)
3.8.3 APAC
3.8.3.1 Information Security Technology- Personal Information Security Specification GB/T 35273-2017 (China)
3.8.3.2 Secure India National Digital Communications Policy 2018-Draft 66 (India)
3.8.4 LATAM
3.8.4.1 The General Data Protection Law (Brazil)
3.8.4.2 Personal Data Protection Act 25 326 (PDPA – Argentina)
3.8.5 MEA
3.8.5.1 Federal Law No 2 of 2019 on the use of ICT in Healthcare (UAE)
3.8.5.2 Privacy Protection Regulations (Data Security), 5777-2017 (Israel)
3.9 Industry impact forces
3.9.1 Growth drivers
3.9.1.1 Growing demand for social media analytics
3.9.1.2 Increasing use of business intelligence tools
3.9.1.3 Proliferation of cloud computing technology
3.9.1.4 Growing demand for sentiment analysiss
3.9.2 Industry pitfalls & challenges
3.9.2.1 Lack of awareness
3.9.2.2 High cost of software
3.10 Growth potential analysis
3.11 Porter’s analysis
3.12 PESTEL analysis
Chapter 4 Competitive Landscape
4.1 Introduction
4.2 Market share analysis, 2020
4.3 Competive analysis of key market players, 2020
4.3.1 Amazon Web Service, Inc. (AWS)
4.3.2 IBM Corporation
4.3.3 Micro Focus LLC
4.3.4 Microsoft Corporation
4.3.5 SAP SE
4.4 Competive analysis of innovative market players, 2020
4.4.1 Khoros LLC
4.4.2 Medallia, Inc.
4.4.3 Opentext Corporation
4.4.4 SAS Institute
4.4.5 Verint Systems, Inc.
Chapter 5 Text Analytics Market, By component
5.1 Key trends, by component
5.2 Software
5.2.1 Market estimates and forecast, 2016 – 2027
5.2.2 Customer intelligence
5.2.2.1 Market estimates and forecast, 2016 – 2027
5.2.3 Customer Relationship Management (CRM)
5.2.3.1 Market estimates and forecast, 2016 – 2027
5.2.4 Governance, Risk, and Compliance (GRC) management
5.2.4.1 Market estimates and forecast, 2016 – 2027
5.2.5 Fraud detection
5.2.5.1 Market estimates and forecast, 2016 – 2027
5.2.6 Others
5.2.6.1 Market estimates and forecast, 2016 – 2027
5.3 Service
5.3.1 Market estimates and forecast, 2016 – 2027
5.3.2 Professional services
5.3.2.1 Market estimates and forecast, 2016 – 2027
5.3.3 Managed services
5.3.3.1 Market estimates and forecast, 2016 – 2027
Chapter 6 Text Analytics Market, By deployment model
6.1 Key trends, by deployment model
6.2 Cloud
6.2.1 Market estimates and forecast, 2016 – 2027
6.3 On-premise
6.3.1 Market estimates and forecast, 2016 – 2027
Chapter 7 Text Analytics Market, By Application
7.1 Key trends, by application
7.2 BFSI
7.2.1 Market estimates and forecast, 2016 – 2027
7.3 Retail
7.3.1 Market estimates and forecast, 2016 – 2027
7.4 Government
7.4.1 Market estimates and forecast, 2016 – 2027
7.5 Healthcare
7.5.1 Market estimates and forecast, 2016 – 2027
7.6 Media & advertising
7.6.1 Market estimates and forecast, 2016 – 2027
7.7 IT & telecom
7.7.1 Market estimates and forecast, 2016 – 2027
7.8 Travel & hospitality
7.8.1 Market estimates and forecast, 2016 – 2027
7.9 Others
7.9.1 Market estimates and forecast, 2016 – 2027
Chapter 8 Text Analytics Market, By Region
8.1 Key trends, by region
8.2 North America
8.2.1 Market estimates and forecast, 2016 – 2027
8.2.2 Market estimates and forecast, by component, 2016 – 2027
8.2.2.1 Market estimates and forecast, by software, 2016 – 2027
8.2.2.2 Market estimates and forecast, by service, 2016 – 2027
8.2.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.2.4 Market estimates and forecast, by application, 2016 – 2027
8.2.5 U.S.
8.2.5.1 Market estimates and forecast, 2016 – 2027
8.2.5.2 Market estimates and forecast, by component, 2016 – 2027
8.2.5.2.1 Market estimates and forecast, by software, 2016 – 2027
8.2.5.2.2 Market estimates and forecast, by service, 2016 – 2027
8.2.5.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.2.5.4 Market estimates and forecast, by application, 2016 – 2027
8.2.6 Canada
8.2.6.1 Market estimates and forecast, 2016 – 2027
8.2.6.2 Market estimates and forecast, by component, 2016 – 2027
8.2.6.2.1 Market estimates and forecast, by software, 2016 – 2027
8.2.6.2.2 Market estimates and forecast, by service, 2016 – 2027
8.2.6.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.2.6.4 Market estimates and forecast, by application, 2016 – 2027
8.3 Europe
8.3.1 Market estimates and forecast, 2016 – 2027
8.3.2 Market estimates and forecast, by component, 2016 – 2027
8.3.2.1 Market estimates and forecast, by software, 2016 – 2027
8.3.2.2 Market estimates and forecast, by service, 2016 – 2027
8.3.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.3.4 Market estimates and forecast, by application, 2016 – 2027
8.3.5 UK
8.3.5.1 Market estimates and forecast, 2016 – 2027
8.3.5.2 Market estimates and forecast, by component, 2016 – 2027
8.3.5.2.1 Market estimates and forecast, by software, 2016 – 2027
8.3.5.2.2 Market estimates and forecast, by service, 2016 – 2027
8.3.5.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.3.5.4 Market estimates and forecast, by application, 2016 – 2027
8.3.6 Germany
8.3.6.1 Market estimates and forecast, 2016 – 2027
8.3.6.2 Market estimates and forecast, by component, 2016 – 2027
8.3.6.2.1 Market estimates and forecast, by software, 2016 – 2027
8.3.6.2.2 Market estimates and forecast, by service, 2016 – 2027
8.3.6.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.3.6.4 Market estimates and forecast, by application, 2016 – 2027
8.3.7 France
8.3.7.1 Market estimates and forecast, 2016 – 2027
8.3.7.2 Market estimates and forecast, by component, 2016 – 2027
8.3.7.2.1 Market estimates and forecast, by software, 2016 – 2027
8.3.7.2.2 Market estimates and forecast, by service, 2016 – 2027
8.3.7.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.3.7.4 Market estimates and forecast, by application, 2016 – 2027
8.3.8 Italy
8.3.8.1 Market estimates and forecast, 2016 – 2027
8.3.8.2 Market estimates and forecast, by component, 2016 – 2027
8.3.8.2.1 Market estimates and forecast, by software, 2016 – 2027
8.3.8.2.2 Market estimates and forecast, by service, 2016 – 2027
8.3.8.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.3.8.4 Market estimates and forecast, by application, 2016 – 2027
8.3.9 Spain
8.3.9.1 Market estimates and forecast, 2016 – 2027
8.3.9.2 Market estimates and forecast, by component, 2016 – 2027
8.3.9.2.1 Market estimates and forecast, by software, 2016 – 2027
8.3.9.2.2 Market estimates and forecast, by service, 2016 – 2027
8.3.9.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.3.9.4 Market estimates and forecast, by application, 2016 – 2027
8.4 Asia Pacific
8.4.1 Market estimates and forecast, 2016 – 2027
8.4.2 Market estimates and forecast, by component, 2016 – 2027
8.4.2.1 Market estimates and forecast, by software, 2016 – 2027
8.4.2.2 Market estimates and forecast, by service, 2016 – 2027
8.4.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.4.4 Market estimates and forecast, by application, 2016 – 2027
8.4.5 China
8.4.5.1 Market estimates and forecast, 2016 – 2027
8.4.5.2 Market estimates and forecast, by component, 2016 – 2027
8.4.5.2.1 Market estimates and forecast, by software, 2016 – 2027
8.4.5.2.2 Market estimates and forecast, by service, 2016 – 2027
8.4.5.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.4.5.4 Market estimates and forecast, by application, 2016 – 2027
8.4.6 India
8.4.6.1 Market estimates and forecast, 2016 – 2027
8.4.6.2 Market estimates and forecast, by component, 2016 – 2027
8.4.6.2.1 Market estimates and forecast, by software, 2016 – 2027
8.4.6.2.2 Market estimates and forecast, by service, 2016 – 2027
8.4.6.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.4.6.4 Market estimates and forecast, by application, 2016 – 2027
8.4.7 Japan
8.4.7.1 Market estimates and forecast, 2016 – 2027
8.4.7.2 Market estimates and forecast, by component, 2016 – 2027
8.4.7.2.1 Market estimates and forecast, by software, 2016 – 2027
8.4.7.2.2 Market estimates and forecast, by service, 2016 – 2027
8.4.7.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.4.7.4 Market estimates and forecast, by application, 2016 – 2027
8.4.8 South Korea
8.4.8.1 Market estimates and forecast, 2016 – 2027
8.4.8.2 Market estimates and forecast, by component, 2016 – 2027
8.4.8.2.1 Market estimates and forecast, by software, 2016 – 2027
8.4.8.2.2 Market estimates and forecast, by service, 2016 – 2027
8.4.8.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.4.8.4 Market estimates and forecast, by application, 2016 – 2027
8.4.9 Australia
8.4.9.1 Market estimates and forecast, 2016 – 2027
8.4.9.2 Market estimates and forecast, by component, 2016 – 2027
8.4.9.2.1 Market estimates and forecast, by software, 2016 – 2027
8.4.9.2.2 Market estimates and forecast, by service, 2016 – 2027
8.4.9.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.4.9.4 Market estimates and forecast, by application, 2016 – 2027
8.5 Latin America
8.5.1 Market estimates and forecast, 2016 – 2027
8.5.2 Market estimates and forecast, by component, 2016 – 2027
8.5.2.1 Market estimates and forecast, by software, 2016 – 2027
8.5.2.2 Market estimates and forecast, by service, 2016 – 2027
8.5.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.5.4 Market estimates and forecast, by application, 2016 – 2027
8.5.5 Brazil
8.5.5.1 Market estimates and forecast, 2016 – 2027
8.5.5.2 Market estimates and forecast, by component, 2016 – 2027
8.5.5.2.1 Market estimates and forecast, by software, 2016 – 2027
8.5.5.2.2 Market estimates and forecast, by service, 2016 – 2027
8.5.5.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.5.5.4 Market estimates and forecast, by application, 2016 – 2027
8.5.6 Mexico
8.5.6.1 Market estimates and forecast, 2016 – 2027
8.5.6.2 Market estimates and forecast, by component, 2016 – 2027
8.5.6.2.1 Market estimates and forecast, by software, 2016 – 2027
8.5.6.2.2 Market estimates and forecast, by service, 2016 – 2027
8.5.6.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.5.6.4 Market estimates and forecast, by application, 2016 – 2027
8.6 MEA
8.6.1 Market estimates and forecast, 2016 – 2027
8.6.2 Market estimates and forecast, by component, 2016 – 2027
8.6.2.1 Market estimates and forecast, by software, 2016 – 2027
8.6.2.2 Market estimates and forecast, by service, 2016 – 2027
8.6.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.6.4 Market estimates and forecast, by application, 2016 – 2027
8.6.5 South Africa
8.6.5.1 Market estimates and forecast, 2016 – 2027
8.6.5.2 Market estimates and forecast, by component, 2016 – 2027
8.6.5.2.1 Market estimates and forecast, by software, 2016 – 2027
8.6.5.2.2 Market estimates and forecast, by service, 2016 – 2027
8.6.5.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.6.5.4 Market estimates and forecast, by application, 2016 – 2027
8.6.6 GCC
8.6.6.1 Market estimates and forecast, 2016 – 2027
8.6.6.2 Market estimates and forecast, by component, 2016 – 2027
8.6.6.2.1 Market estimates and forecast, by software, 2016 – 2027
8.6.6.2.2 Market estimates and forecast, by service, 2016 – 2027
8.6.6.3 Market estimates and forecast, by deployment model, 2016 – 2027
8.6.6.4 Market estimates and forecast, by application, 2016 – 2027
Chapter 9 Company Profiles
9.1 Amazon Web Services, Inc. (AWS)
9.1.1 Business Overview
9.1.2 Financial Data
9.1.3 Product Landscape
9.1.4 Strategic Outlook
9.1.5 SWOT Analysis
9.2 Angoss Software Corporation (Altair Engineering, Inc.)
9.2.1 Business Overview
9.2.2 Financial Data
9.2.3 Product Landscape
9.2.4 Strategic Outlook
9.2.5 SWOT Analysis
9.3 Basis Technology Corporation
9.3.1 Business Overview
9.3.2 Financial Data
9.3.3 Product Landscape
9.3.4 Strategic Outlook
9.3.5 SWOT Analysis
9.4 Bitext Innovations, S.L.
9.4.1 Business Overview
9.4.2 Financial Data
9.4.3 Product Landscape
9.4.4 Strategic Outlook
9.4.5 SWOT Analysis
9.5 Brandwatch
9.5.1 Business Overview
9.5.2 Financial Data
9.5.3 Product Landscape
9.5.4 Strategic Outlook
9.5.5 SWOT Analysis
9.6 Clarabridge, Inc.
9.6.1 Business Overview
9.6.2 Financial Data
9.6.3 Product Landscape
9.6.4 Strategic Outlook
9.6.5 SWOT Analysis
9.7 IBM Corporation
9.7.1 Business Overview
9.7.2 Financial Data
9.7.3 Product Landscape
9.7.4 Strategic Outlook
9.7.5 SWOT Analysis
9.8 Interactions LLC
9.8.1 Business Overview
9.8.2 Financial Data
9.8.3 Product Landscape
9.8.4 Strategic Outlook
9.8.5 SWOT Analysis
9.9 Jive software (Aurea Software, Inc.)
9.9.1 Business Overview
9.9.2 Financial Data
9.9.3 Product Landscape
9.9.4 Strategic Outlook
9.9.5 SWOT Analysis
9.10 Khoros, LLC
9.10.1 Business Overview
9.10.2 Financial Data
9.10.3 Product Landscape
9.10.4 Strategic Outlook
9.10.5 SWOT Analysis
9.11 Lexalytics, Inc.
9.11.1 Business Overview
9.11.2 Financial Data
9.11.3 Product Landscape
9.11.4 Strategic Outlook
9.11.5 SWOT Analysis
9.12 Luminoso Technologies, Inc.
9.12.1 Business Overview
9.12.2 Financial Data
9.12.3 Product Landscape
9.12.4 Strategic Outlook
9.12.5 SWOT Analysis
9.13 Medallia, Inc.
9.13.1 Business Overview
9.13.2 Financial Data
9.13.3 Product Landscape
9.13.4 Strategic Outlook
9.13.5 SWOT Analysis
9.14 Megaputer Intelligence, Inc.
9.14.1 Business Overview
9.14.2 Financial Data
9.14.3 Product Landscape
9.14.4 Strategic Outlook
9.14.5 SWOT Analysis
9.15 Micro Focus LLC
9.15.1 Business Overview
9.15.2 Financial Data
9.15.3 Product Landscape
9.15.4 Strategic Outlook
9.15.5 SWOT Analysis
9.16 Microsoft Corporation
9.16.1 Business Overview
9.16.2 Financial Data
9.16.3 Product Landscape
9.16.4 Strategic Outlook
9.16.5 SWOT Analysis
9.17 NetBase Solutions, Inc.
9.17.1 Business Overview
9.17.2 Financial Data
9.17.3 Product Landscape
9.17.4 Strategic Outlook
9.17.5 SWOT Analysis
9.18 OpenText Corporation
9.18.1 Business Overview
9.18.2 Financial Data
9.18.3 Product Landscape
9.18.4 Strategic Outlook
9.18.5 SWOT Analysis
9.19 RapidMiner, Inc.
9.19.1 Business Overview
9.19.2 Financial Data
9.19.3 Product Landscape
9.19.4 Strategic Outlook
9.19.5 SWOT Analysis
9.20 SAP SE
9.20.1 Business Overview
9.20.2 Financial Data
9.20.3 Product Landscape
9.20.4 Strategic Outlook
9.20.5 SWOT Analysis
9.21 SAS Institute, Inc.
9.21.1 Business Overview
9.21.2 Financial Data
9.21.3 Product Landscape
9.21.4 Strategic Outlook
9.21.5 SWOT Analysis
9.22 Unmetric, Inc.
9.22.1 Business Overview
9.22.2 Financial Data
9.22.3 Product Landscape
9.22.4 Strategic Outlook
9.22.5 SWOT Analysis
9.23 Verint Systems, Inc
9.23.1 Business Overview
9.23.2 Financial Data
9.23.3 Product Landscape
9.23.4 Strategic Outlook
9.23.5 SWOT Analysis
