Global Text Mining - Market

Text Mining - Comprehensive Study by Type (Basic Text Summaries and Analysis, High-level Text Analysis), Application (Sentiment Analysis, Data Analysis & Forecasting, Fraud/Spam Detection, Intelligence & Law Enforcement, Customer Relationship Management), Components (Software, Services), Vertical (Retail & E-commerce, IT & Telecom, Healthcare & Pharmaceuticals, BFSI, Transportation & Logistics, Travel & Hospitality, Automotive, Others), Deployment (Cloud, On-premises) Players and Region - Global Market Outlook to 2026

Text Mining - Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
What is Text Mining -?
Text mining or text data mining is the use of linguistic, statistical, and machine learning techniques to identify and gather meaningful information and new insights from various types of text data. Growing preference towards searching information about the products or services on the internet or company websites before making purchase decisions increased the adoption of text mining tools to analyze customer behavior, brand value, and improve customer experience. Text analysis plays an important role in document analysis to analyze documents and extract meaningful information. Further, the growing need for analyzing texts available on websites, social media, emails, documents, etc. in multiple languages other than English has created significant opportunities for the natural language processing technology as it helps machines to read and understand natural languages like Spanish, German, Chinese, etc. by simulating the human ability.

The market study is broken down by Type (Basic Text Summaries and Analysis and High-level Text Analysis), by Application (Sentiment Analysis, Data Analysis & Forecasting, Fraud/Spam Detection, Intelligence & Law Enforcement and Customer Relationship Management) and major geographies with country level break-up.

The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches, and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies. Analysts at AMA Research estimates that Players from United States will contribute to the maximum growth of Global Text Mining - market throughout the predicted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

IBM (United States), Microsoft (United States), OpenText Corporation (Canada), TIBCO Software (United States), RapidMiner (United States), SAS Institute (United States), SAP (Germany), Lexalitics (United States), MeaningCloud (United States), Quanovo Limited (United Kingdom), Confirmit (Norway) and SmartMunk GmbH (Germany) are some of the key players that are part of study coverage.

Segmentation Overview
AdvanceMarketAnalytics has segmented the market of Global Text Mining - market by Type, Application and Region.

On the basis of geography, the market of Text Mining - has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Components, the sub-segment i.e. Software will boost the Text Mining - market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Vertical, the sub-segment i.e. Retail & E-commerce will boost the Text Mining - market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Deployment, the sub-segment i.e. Cloud will boost the Text Mining - market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

In 2020, Microsoft added Hindi to its text analytics service to strengthen customer sentiment analysis support for businesses. Text analytics services use the latest AI models with NLP technology to analyze Hindi content for text mining or text analysis. IT also provides sentiment labels based on the highest confidence score that helps businesses to gain insights about their brands and products or service offerings.


Market Trend
  • Increased Use of NLP Technology Due to Growing Need for Multilingual Text Analytics

Market Drivers
  • Surging Demand for Text Mining to Extract Valuable Information and Improve Customer Experience
  • Digital Transformation of Businesses and Rapidly Growing Retail & E-commerce Sector Will Boost the Demand

Opportunities
  • High Application of Text Mining in Healthcare & Lifesciences to Understand Complex Medical Terms and Provide Effective Medical Treatment

Restraints
  • Increased Privacy and Security Concerns Due to Increasing Number of Cyberattacks

Challenges
  • Same Meaning of Multiple Words or Multiple Meaning of Same Words May Lead to the Ambiguity


Key Target Audience
New Entrants/Investors, Analysts and Strategic Business Planners, Text Mining Solutions & Service Providers, Venture Capitalists and Private Equity Firms, Government Regulatory and Research Organizations, End-User Industries and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have the better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with purpose to understand company’s positioning regarding market value, volume and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders etc. and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, analyst team keeps preparing set of questionnaires and after getting appointee list; the target audience are then tapped and segregated with various mediums and channels that are feasible for making connection that includes email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey etc.

Report Objectives / Segmentation Covered

By Type
  • Basic Text Summaries and Analysis
  • High-level Text Analysis
By Application
  • Sentiment Analysis
  • Data Analysis & Forecasting
  • Fraud/Spam Detection
  • Intelligence & Law Enforcement
  • Customer Relationship Management
By Components
  • Software
  • Services

By Vertical
  • Retail & E-commerce
  • IT & Telecom
  • Healthcare & Pharmaceuticals
  • BFSI
  • Transportation & Logistics
  • Travel & Hospitality
  • Automotive
  • Others

By Deployment
  • Cloud
  • On-premises

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Surging Demand for Text Mining to Extract Valuable Information and Improve Customer Experience
      • 3.2.2. Digital Transformation of Businesses and Rapidly Growing Retail & E-commerce Sector Will Boost the Demand
    • 3.3. Market Challenges
      • 3.3.1. Same Meaning of Multiple Words or Multiple Meaning of Same Words May Lead to the Ambiguity
    • 3.4. Market Trends
      • 3.4.1. Increased Use of NLP Technology Due to Growing Need for Multilingual Text Analytics
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Text Mining -, by Type, Application, Components, Vertical, Deployment and Region (value and price ) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Text Mining - (Value)
      • 5.2.1. Global Text Mining - by: Type (Value)
        • 5.2.1.1. Basic Text Summaries and Analysis
        • 5.2.1.2. High-level Text Analysis
      • 5.2.2. Global Text Mining - by: Application (Value)
        • 5.2.2.1. Sentiment Analysis
        • 5.2.2.2. Data Analysis & Forecasting
        • 5.2.2.3. Fraud/Spam Detection
        • 5.2.2.4. Intelligence & Law Enforcement
        • 5.2.2.5. Customer Relationship Management
      • 5.2.3. Global Text Mining - by: Components (Value)
        • 5.2.3.1. Software
        • 5.2.3.2. Services
      • 5.2.4. Global Text Mining - by: Vertical (Value)
        • 5.2.4.1. Retail & E-commerce
        • 5.2.4.2. IT & Telecom
        • 5.2.4.3. Healthcare & Pharmaceuticals
        • 5.2.4.4. BFSI
        • 5.2.4.5. Transportation & Logistics
        • 5.2.4.6. Travel & Hospitality
        • 5.2.4.7. Automotive
        • 5.2.4.8. Others
      • 5.2.5. Global Text Mining - by: Deployment (Value)
        • 5.2.5.1. Cloud
        • 5.2.5.2. On-premises
      • 5.2.6. Global Text Mining - Region
        • 5.2.6.1. South America
          • 5.2.6.1.1. Brazil
          • 5.2.6.1.2. Argentina
          • 5.2.6.1.3. Rest of South America
        • 5.2.6.2. Asia Pacific
          • 5.2.6.2.1. China
          • 5.2.6.2.2. Japan
          • 5.2.6.2.3. India
          • 5.2.6.2.4. South Korea
          • 5.2.6.2.5. Australia
          • 5.2.6.2.6. Rest of Asia-Pacific
        • 5.2.6.3. Europe
          • 5.2.6.3.1. Germany
          • 5.2.6.3.2. France
          • 5.2.6.3.3. Italy
          • 5.2.6.3.4. United Kingdom
          • 5.2.6.3.5. Netherlands
          • 5.2.6.3.6. Rest of Europe
        • 5.2.6.4. MEA
          • 5.2.6.4.1. Middle East
          • 5.2.6.4.2. Africa
        • 5.2.6.5. North America
          • 5.2.6.5.1. United States
          • 5.2.6.5.2. Canada
          • 5.2.6.5.3. Mexico
    • 5.3. Global Text Mining - (Price)
      • 5.3.1. Global Text Mining - by: Type (Price)
  • 6. Text Mining -: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. IBM (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Microsoft (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. OpenText Corporation (Canada)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. TIBCO Software (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. RapidMiner (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. SAS Institute (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. SAP (Germany)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Lexalitics (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. MeaningCloud (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Quanovo Limited (United Kingdom)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. Confirmit (Norway)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. SmartMunk GmbH (Germany)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
  • 7. Global Text Mining - Sale, by Type, Application, Components, Vertical, Deployment and Region (value and price ) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Text Mining - (Value)
      • 7.2.1. Global Text Mining - by: Type (Value)
        • 7.2.1.1. Basic Text Summaries and Analysis
        • 7.2.1.2. High-level Text Analysis
      • 7.2.2. Global Text Mining - by: Application (Value)
        • 7.2.2.1. Sentiment Analysis
        • 7.2.2.2. Data Analysis & Forecasting
        • 7.2.2.3. Fraud/Spam Detection
        • 7.2.2.4. Intelligence & Law Enforcement
        • 7.2.2.5. Customer Relationship Management
      • 7.2.3. Global Text Mining - by: Components (Value)
        • 7.2.3.1. Software
        • 7.2.3.2. Services
      • 7.2.4. Global Text Mining - by: Vertical (Value)
        • 7.2.4.1. Retail & E-commerce
        • 7.2.4.2. IT & Telecom
        • 7.2.4.3. Healthcare & Pharmaceuticals
        • 7.2.4.4. BFSI
        • 7.2.4.5. Transportation & Logistics
        • 7.2.4.6. Travel & Hospitality
        • 7.2.4.7. Automotive
        • 7.2.4.8. Others
      • 7.2.5. Global Text Mining - by: Deployment (Value)
        • 7.2.5.1. Cloud
        • 7.2.5.2. On-premises
      • 7.2.6. Global Text Mining - Region
        • 7.2.6.1. South America
          • 7.2.6.1.1. Brazil
          • 7.2.6.1.2. Argentina
          • 7.2.6.1.3. Rest of South America
        • 7.2.6.2. Asia Pacific
          • 7.2.6.2.1. China
          • 7.2.6.2.2. Japan
          • 7.2.6.2.3. India
          • 7.2.6.2.4. South Korea
          • 7.2.6.2.5. Australia
          • 7.2.6.2.6. Rest of Asia-Pacific
        • 7.2.6.3. Europe
          • 7.2.6.3.1. Germany
          • 7.2.6.3.2. France
          • 7.2.6.3.3. Italy
          • 7.2.6.3.4. United Kingdom
          • 7.2.6.3.5. Netherlands
          • 7.2.6.3.6. Rest of Europe
        • 7.2.6.4. MEA
          • 7.2.6.4.1. Middle East
          • 7.2.6.4.2. Africa
        • 7.2.6.5. North America
          • 7.2.6.5.1. United States
          • 7.2.6.5.2. Canada
          • 7.2.6.5.3. Mexico
    • 7.3. Global Text Mining - (Price)
      • 7.3.1. Global Text Mining - by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Text Mining -: by Type(USD Million)
  • Table 2. Text Mining - Basic Text Summaries and Analysis , by Region USD Million (2015-2020)
  • Table 3. Text Mining - High-level Text Analysis , by Region USD Million (2015-2020)
  • Table 4. Text Mining -: by Application(USD Million)
  • Table 5. Text Mining - Sentiment Analysis , by Region USD Million (2015-2020)
  • Table 6. Text Mining - Data Analysis & Forecasting , by Region USD Million (2015-2020)
  • Table 7. Text Mining - Fraud/Spam Detection , by Region USD Million (2015-2020)
  • Table 8. Text Mining - Intelligence & Law Enforcement , by Region USD Million (2015-2020)
  • Table 9. Text Mining - Customer Relationship Management , by Region USD Million (2015-2020)
  • Table 10. Text Mining -: by Components(USD Million)
  • Table 11. Text Mining - Software , by Region USD Million (2015-2020)
  • Table 12. Text Mining - Services , by Region USD Million (2015-2020)
  • Table 13. Text Mining -: by Vertical(USD Million)
  • Table 14. Text Mining - Retail & E-commerce , by Region USD Million (2015-2020)
  • Table 15. Text Mining - IT & Telecom , by Region USD Million (2015-2020)
  • Table 16. Text Mining - Healthcare & Pharmaceuticals , by Region USD Million (2015-2020)
  • Table 17. Text Mining - BFSI , by Region USD Million (2015-2020)
  • Table 18. Text Mining - Transportation & Logistics , by Region USD Million (2015-2020)
  • Table 19. Text Mining - Travel & Hospitality , by Region USD Million (2015-2020)
  • Table 20. Text Mining - Automotive , by Region USD Million (2015-2020)
  • Table 21. Text Mining - Others , by Region USD Million (2015-2020)
  • Table 22. Text Mining -: by Deployment(USD Million)
  • Table 23. Text Mining - Cloud , by Region USD Million (2015-2020)
  • Table 24. Text Mining - On-premises , by Region USD Million (2015-2020)
  • Table 25. South America Text Mining -, by Country USD Million (2015-2020)
  • Table 26. South America Text Mining -, by Type USD Million (2015-2020)
  • Table 27. South America Text Mining -, by Application USD Million (2015-2020)
  • Table 28. South America Text Mining -, by Components USD Million (2015-2020)
  • Table 29. South America Text Mining -, by Vertical USD Million (2015-2020)
  • Table 30. South America Text Mining -, by Deployment USD Million (2015-2020)
  • Table 31. Brazil Text Mining -, by Type USD Million (2015-2020)
  • Table 32. Brazil Text Mining -, by Application USD Million (2015-2020)
  • Table 33. Brazil Text Mining -, by Components USD Million (2015-2020)
  • Table 34. Brazil Text Mining -, by Vertical USD Million (2015-2020)
  • Table 35. Brazil Text Mining -, by Deployment USD Million (2015-2020)
  • Table 36. Argentina Text Mining -, by Type USD Million (2015-2020)
  • Table 37. Argentina Text Mining -, by Application USD Million (2015-2020)
  • Table 38. Argentina Text Mining -, by Components USD Million (2015-2020)
  • Table 39. Argentina Text Mining -, by Vertical USD Million (2015-2020)
  • Table 40. Argentina Text Mining -, by Deployment USD Million (2015-2020)
  • Table 41. Rest of South America Text Mining -, by Type USD Million (2015-2020)
  • Table 42. Rest of South America Text Mining -, by Application USD Million (2015-2020)
  • Table 43. Rest of South America Text Mining -, by Components USD Million (2015-2020)
  • Table 44. Rest of South America Text Mining -, by Vertical USD Million (2015-2020)
  • Table 45. Rest of South America Text Mining -, by Deployment USD Million (2015-2020)
  • Table 46. Asia Pacific Text Mining -, by Country USD Million (2015-2020)
  • Table 47. Asia Pacific Text Mining -, by Type USD Million (2015-2020)
  • Table 48. Asia Pacific Text Mining -, by Application USD Million (2015-2020)
  • Table 49. Asia Pacific Text Mining -, by Components USD Million (2015-2020)
  • Table 50. Asia Pacific Text Mining -, by Vertical USD Million (2015-2020)
  • Table 51. Asia Pacific Text Mining -, by Deployment USD Million (2015-2020)
  • Table 52. China Text Mining -, by Type USD Million (2015-2020)
  • Table 53. China Text Mining -, by Application USD Million (2015-2020)
  • Table 54. China Text Mining -, by Components USD Million (2015-2020)
  • Table 55. China Text Mining -, by Vertical USD Million (2015-2020)
  • Table 56. China Text Mining -, by Deployment USD Million (2015-2020)
  • Table 57. Japan Text Mining -, by Type USD Million (2015-2020)
  • Table 58. Japan Text Mining -, by Application USD Million (2015-2020)
  • Table 59. Japan Text Mining -, by Components USD Million (2015-2020)
  • Table 60. Japan Text Mining -, by Vertical USD Million (2015-2020)
  • Table 61. Japan Text Mining -, by Deployment USD Million (2015-2020)
  • Table 62. India Text Mining -, by Type USD Million (2015-2020)
  • Table 63. India Text Mining -, by Application USD Million (2015-2020)
  • Table 64. India Text Mining -, by Components USD Million (2015-2020)
  • Table 65. India Text Mining -, by Vertical USD Million (2015-2020)
  • Table 66. India Text Mining -, by Deployment USD Million (2015-2020)
  • Table 67. South Korea Text Mining -, by Type USD Million (2015-2020)
  • Table 68. South Korea Text Mining -, by Application USD Million (2015-2020)
  • Table 69. South Korea Text Mining -, by Components USD Million (2015-2020)
  • Table 70. South Korea Text Mining -, by Vertical USD Million (2015-2020)
  • Table 71. South Korea Text Mining -, by Deployment USD Million (2015-2020)
  • Table 72. Australia Text Mining -, by Type USD Million (2015-2020)
  • Table 73. Australia Text Mining -, by Application USD Million (2015-2020)
  • Table 74. Australia Text Mining -, by Components USD Million (2015-2020)
  • Table 75. Australia Text Mining -, by Vertical USD Million (2015-2020)
  • Table 76. Australia Text Mining -, by Deployment USD Million (2015-2020)
  • Table 77. Rest of Asia-Pacific Text Mining -, by Type USD Million (2015-2020)
  • Table 78. Rest of Asia-Pacific Text Mining -, by Application USD Million (2015-2020)
  • Table 79. Rest of Asia-Pacific Text Mining -, by Components USD Million (2015-2020)
  • Table 80. Rest of Asia-Pacific Text Mining -, by Vertical USD Million (2015-2020)
  • Table 81. Rest of Asia-Pacific Text Mining -, by Deployment USD Million (2015-2020)
  • Table 82. Europe Text Mining -, by Country USD Million (2015-2020)
  • Table 83. Europe Text Mining -, by Type USD Million (2015-2020)
  • Table 84. Europe Text Mining -, by Application USD Million (2015-2020)
  • Table 85. Europe Text Mining -, by Components USD Million (2015-2020)
  • Table 86. Europe Text Mining -, by Vertical USD Million (2015-2020)
  • Table 87. Europe Text Mining -, by Deployment USD Million (2015-2020)
  • Table 88. Germany Text Mining -, by Type USD Million (2015-2020)
  • Table 89. Germany Text Mining -, by Application USD Million (2015-2020)
  • Table 90. Germany Text Mining -, by Components USD Million (2015-2020)
  • Table 91. Germany Text Mining -, by Vertical USD Million (2015-2020)
  • Table 92. Germany Text Mining -, by Deployment USD Million (2015-2020)
  • Table 93. France Text Mining -, by Type USD Million (2015-2020)
  • Table 94. France Text Mining -, by Application USD Million (2015-2020)
  • Table 95. France Text Mining -, by Components USD Million (2015-2020)
  • Table 96. France Text Mining -, by Vertical USD Million (2015-2020)
  • Table 97. France Text Mining -, by Deployment USD Million (2015-2020)
  • Table 98. Italy Text Mining -, by Type USD Million (2015-2020)
  • Table 99. Italy Text Mining -, by Application USD Million (2015-2020)
  • Table 100. Italy Text Mining -, by Components USD Million (2015-2020)
  • Table 101. Italy Text Mining -, by Vertical USD Million (2015-2020)
  • Table 102. Italy Text Mining -, by Deployment USD Million (2015-2020)
  • Table 103. United Kingdom Text Mining -, by Type USD Million (2015-2020)
  • Table 104. United Kingdom Text Mining -, by Application USD Million (2015-2020)
  • Table 105. United Kingdom Text Mining -, by Components USD Million (2015-2020)
  • Table 106. United Kingdom Text Mining -, by Vertical USD Million (2015-2020)
  • Table 107. United Kingdom Text Mining -, by Deployment USD Million (2015-2020)
  • Table 108. Netherlands Text Mining -, by Type USD Million (2015-2020)
  • Table 109. Netherlands Text Mining -, by Application USD Million (2015-2020)
  • Table 110. Netherlands Text Mining -, by Components USD Million (2015-2020)
  • Table 111. Netherlands Text Mining -, by Vertical USD Million (2015-2020)
  • Table 112. Netherlands Text Mining -, by Deployment USD Million (2015-2020)
  • Table 113. Rest of Europe Text Mining -, by Type USD Million (2015-2020)
  • Table 114. Rest of Europe Text Mining -, by Application USD Million (2015-2020)
  • Table 115. Rest of Europe Text Mining -, by Components USD Million (2015-2020)
  • Table 116. Rest of Europe Text Mining -, by Vertical USD Million (2015-2020)
  • Table 117. Rest of Europe Text Mining -, by Deployment USD Million (2015-2020)
  • Table 118. MEA Text Mining -, by Country USD Million (2015-2020)
  • Table 119. MEA Text Mining -, by Type USD Million (2015-2020)
  • Table 120. MEA Text Mining -, by Application USD Million (2015-2020)
  • Table 121. MEA Text Mining -, by Components USD Million (2015-2020)
  • Table 122. MEA Text Mining -, by Vertical USD Million (2015-2020)
  • Table 123. MEA Text Mining -, by Deployment USD Million (2015-2020)
  • Table 124. Middle East Text Mining -, by Type USD Million (2015-2020)
  • Table 125. Middle East Text Mining -, by Application USD Million (2015-2020)
  • Table 126. Middle East Text Mining -, by Components USD Million (2015-2020)
  • Table 127. Middle East Text Mining -, by Vertical USD Million (2015-2020)
  • Table 128. Middle East Text Mining -, by Deployment USD Million (2015-2020)
  • Table 129. Africa Text Mining -, by Type USD Million (2015-2020)
  • Table 130. Africa Text Mining -, by Application USD Million (2015-2020)
  • Table 131. Africa Text Mining -, by Components USD Million (2015-2020)
  • Table 132. Africa Text Mining -, by Vertical USD Million (2015-2020)
  • Table 133. Africa Text Mining -, by Deployment USD Million (2015-2020)
  • Table 134. North America Text Mining -, by Country USD Million (2015-2020)
  • Table 135. North America Text Mining -, by Type USD Million (2015-2020)
  • Table 136. North America Text Mining -, by Application USD Million (2015-2020)
  • Table 137. North America Text Mining -, by Components USD Million (2015-2020)
  • Table 138. North America Text Mining -, by Vertical USD Million (2015-2020)
  • Table 139. North America Text Mining -, by Deployment USD Million (2015-2020)
  • Table 140. United States Text Mining -, by Type USD Million (2015-2020)
  • Table 141. United States Text Mining -, by Application USD Million (2015-2020)
  • Table 142. United States Text Mining -, by Components USD Million (2015-2020)
  • Table 143. United States Text Mining -, by Vertical USD Million (2015-2020)
  • Table 144. United States Text Mining -, by Deployment USD Million (2015-2020)
  • Table 145. Canada Text Mining -, by Type USD Million (2015-2020)
  • Table 146. Canada Text Mining -, by Application USD Million (2015-2020)
  • Table 147. Canada Text Mining -, by Components USD Million (2015-2020)
  • Table 148. Canada Text Mining -, by Vertical USD Million (2015-2020)
  • Table 149. Canada Text Mining -, by Deployment USD Million (2015-2020)
  • Table 150. Mexico Text Mining -, by Type USD Million (2015-2020)
  • Table 151. Mexico Text Mining -, by Application USD Million (2015-2020)
  • Table 152. Mexico Text Mining -, by Components USD Million (2015-2020)
  • Table 153. Mexico Text Mining -, by Vertical USD Million (2015-2020)
  • Table 154. Mexico Text Mining -, by Deployment USD Million (2015-2020)
  • Table 155. Text Mining -: by Type(USD/Units)
  • Table 156. Company Basic Information, Sales Area and Its Competitors
  • Table 157. Company Basic Information, Sales Area and Its Competitors
  • Table 158. Company Basic Information, Sales Area and Its Competitors
  • Table 159. Company Basic Information, Sales Area and Its Competitors
  • Table 160. Company Basic Information, Sales Area and Its Competitors
  • Table 161. Company Basic Information, Sales Area and Its Competitors
  • Table 162. Company Basic Information, Sales Area and Its Competitors
  • Table 163. Company Basic Information, Sales Area and Its Competitors
  • Table 164. Company Basic Information, Sales Area and Its Competitors
  • Table 165. Company Basic Information, Sales Area and Its Competitors
  • Table 166. Company Basic Information, Sales Area and Its Competitors
  • Table 167. Company Basic Information, Sales Area and Its Competitors
  • Table 168. Text Mining -: by Type(USD Million)
  • Table 169. Text Mining - Basic Text Summaries and Analysis , by Region USD Million (2021-2026)
  • Table 170. Text Mining - High-level Text Analysis , by Region USD Million (2021-2026)
  • Table 171. Text Mining -: by Application(USD Million)
  • Table 172. Text Mining - Sentiment Analysis , by Region USD Million (2021-2026)
  • Table 173. Text Mining - Data Analysis & Forecasting , by Region USD Million (2021-2026)
  • Table 174. Text Mining - Fraud/Spam Detection , by Region USD Million (2021-2026)
  • Table 175. Text Mining - Intelligence & Law Enforcement , by Region USD Million (2021-2026)
  • Table 176. Text Mining - Customer Relationship Management , by Region USD Million (2021-2026)
  • Table 177. Text Mining -: by Components(USD Million)
  • Table 178. Text Mining - Software , by Region USD Million (2021-2026)
  • Table 179. Text Mining - Services , by Region USD Million (2021-2026)
  • Table 180. Text Mining -: by Vertical(USD Million)
  • Table 181. Text Mining - Retail & E-commerce , by Region USD Million (2021-2026)
  • Table 182. Text Mining - IT & Telecom , by Region USD Million (2021-2026)
  • Table 183. Text Mining - Healthcare & Pharmaceuticals , by Region USD Million (2021-2026)
  • Table 184. Text Mining - BFSI , by Region USD Million (2021-2026)
  • Table 185. Text Mining - Transportation & Logistics , by Region USD Million (2021-2026)
  • Table 186. Text Mining - Travel & Hospitality , by Region USD Million (2021-2026)
  • Table 187. Text Mining - Automotive , by Region USD Million (2021-2026)
  • Table 188. Text Mining - Others , by Region USD Million (2021-2026)
  • Table 189. Text Mining -: by Deployment(USD Million)
  • Table 190. Text Mining - Cloud , by Region USD Million (2021-2026)
  • Table 191. Text Mining - On-premises , by Region USD Million (2021-2026)
  • Table 192. South America Text Mining -, by Country USD Million (2021-2026)
  • Table 193. South America Text Mining -, by Type USD Million (2021-2026)
  • Table 194. South America Text Mining -, by Application USD Million (2021-2026)
  • Table 195. South America Text Mining -, by Components USD Million (2021-2026)
  • Table 196. South America Text Mining -, by Vertical USD Million (2021-2026)
  • Table 197. South America Text Mining -, by Deployment USD Million (2021-2026)
  • Table 198. Brazil Text Mining -, by Type USD Million (2021-2026)
  • Table 199. Brazil Text Mining -, by Application USD Million (2021-2026)
  • Table 200. Brazil Text Mining -, by Components USD Million (2021-2026)
  • Table 201. Brazil Text Mining -, by Vertical USD Million (2021-2026)
  • Table 202. Brazil Text Mining -, by Deployment USD Million (2021-2026)
  • Table 203. Argentina Text Mining -, by Type USD Million (2021-2026)
  • Table 204. Argentina Text Mining -, by Application USD Million (2021-2026)
  • Table 205. Argentina Text Mining -, by Components USD Million (2021-2026)
  • Table 206. Argentina Text Mining -, by Vertical USD Million (2021-2026)
  • Table 207. Argentina Text Mining -, by Deployment USD Million (2021-2026)
  • Table 208. Rest of South America Text Mining -, by Type USD Million (2021-2026)
  • Table 209. Rest of South America Text Mining -, by Application USD Million (2021-2026)
  • Table 210. Rest of South America Text Mining -, by Components USD Million (2021-2026)
  • Table 211. Rest of South America Text Mining -, by Vertical USD Million (2021-2026)
  • Table 212. Rest of South America Text Mining -, by Deployment USD Million (2021-2026)
  • Table 213. Asia Pacific Text Mining -, by Country USD Million (2021-2026)
  • Table 214. Asia Pacific Text Mining -, by Type USD Million (2021-2026)
  • Table 215. Asia Pacific Text Mining -, by Application USD Million (2021-2026)
  • Table 216. Asia Pacific Text Mining -, by Components USD Million (2021-2026)
  • Table 217. Asia Pacific Text Mining -, by Vertical USD Million (2021-2026)
  • Table 218. Asia Pacific Text Mining -, by Deployment USD Million (2021-2026)
  • Table 219. China Text Mining -, by Type USD Million (2021-2026)
  • Table 220. China Text Mining -, by Application USD Million (2021-2026)
  • Table 221. China Text Mining -, by Components USD Million (2021-2026)
  • Table 222. China Text Mining -, by Vertical USD Million (2021-2026)
  • Table 223. China Text Mining -, by Deployment USD Million (2021-2026)
  • Table 224. Japan Text Mining -, by Type USD Million (2021-2026)
  • Table 225. Japan Text Mining -, by Application USD Million (2021-2026)
  • Table 226. Japan Text Mining -, by Components USD Million (2021-2026)
  • Table 227. Japan Text Mining -, by Vertical USD Million (2021-2026)
  • Table 228. Japan Text Mining -, by Deployment USD Million (2021-2026)
  • Table 229. India Text Mining -, by Type USD Million (2021-2026)
  • Table 230. India Text Mining -, by Application USD Million (2021-2026)
  • Table 231. India Text Mining -, by Components USD Million (2021-2026)
  • Table 232. India Text Mining -, by Vertical USD Million (2021-2026)
  • Table 233. India Text Mining -, by Deployment USD Million (2021-2026)
  • Table 234. South Korea Text Mining -, by Type USD Million (2021-2026)
  • Table 235. South Korea Text Mining -, by Application USD Million (2021-2026)
  • Table 236. South Korea Text Mining -, by Components USD Million (2021-2026)
  • Table 237. South Korea Text Mining -, by Vertical USD Million (2021-2026)
  • Table 238. South Korea Text Mining -, by Deployment USD Million (2021-2026)
  • Table 239. Australia Text Mining -, by Type USD Million (2021-2026)
  • Table 240. Australia Text Mining -, by Application USD Million (2021-2026)
  • Table 241. Australia Text Mining -, by Components USD Million (2021-2026)
  • Table 242. Australia Text Mining -, by Vertical USD Million (2021-2026)
  • Table 243. Australia Text Mining -, by Deployment USD Million (2021-2026)
  • Table 244. Rest of Asia-Pacific Text Mining -, by Type USD Million (2021-2026)
  • Table 245. Rest of Asia-Pacific Text Mining -, by Application USD Million (2021-2026)
  • Table 246. Rest of Asia-Pacific Text Mining -, by Components USD Million (2021-2026)
  • Table 247. Rest of Asia-Pacific Text Mining -, by Vertical USD Million (2021-2026)
  • Table 248. Rest of Asia-Pacific Text Mining -, by Deployment USD Million (2021-2026)
  • Table 249. Europe Text Mining -, by Country USD Million (2021-2026)
  • Table 250. Europe Text Mining -, by Type USD Million (2021-2026)
  • Table 251. Europe Text Mining -, by Application USD Million (2021-2026)
  • Table 252. Europe Text Mining -, by Components USD Million (2021-2026)
  • Table 253. Europe Text Mining -, by Vertical USD Million (2021-2026)
  • Table 254. Europe Text Mining -, by Deployment USD Million (2021-2026)
  • Table 255. Germany Text Mining -, by Type USD Million (2021-2026)
  • Table 256. Germany Text Mining -, by Application USD Million (2021-2026)
  • Table 257. Germany Text Mining -, by Components USD Million (2021-2026)
  • Table 258. Germany Text Mining -, by Vertical USD Million (2021-2026)
  • Table 259. Germany Text Mining -, by Deployment USD Million (2021-2026)
  • Table 260. France Text Mining -, by Type USD Million (2021-2026)
  • Table 261. France Text Mining -, by Application USD Million (2021-2026)
  • Table 262. France Text Mining -, by Components USD Million (2021-2026)
  • Table 263. France Text Mining -, by Vertical USD Million (2021-2026)
  • Table 264. France Text Mining -, by Deployment USD Million (2021-2026)
  • Table 265. Italy Text Mining -, by Type USD Million (2021-2026)
  • Table 266. Italy Text Mining -, by Application USD Million (2021-2026)
  • Table 267. Italy Text Mining -, by Components USD Million (2021-2026)
  • Table 268. Italy Text Mining -, by Vertical USD Million (2021-2026)
  • Table 269. Italy Text Mining -, by Deployment USD Million (2021-2026)
  • Table 270. United Kingdom Text Mining -, by Type USD Million (2021-2026)
  • Table 271. United Kingdom Text Mining -, by Application USD Million (2021-2026)
  • Table 272. United Kingdom Text Mining -, by Components USD Million (2021-2026)
  • Table 273. United Kingdom Text Mining -, by Vertical USD Million (2021-2026)
  • Table 274. United Kingdom Text Mining -, by Deployment USD Million (2021-2026)
  • Table 275. Netherlands Text Mining -, by Type USD Million (2021-2026)
  • Table 276. Netherlands Text Mining -, by Application USD Million (2021-2026)
  • Table 277. Netherlands Text Mining -, by Components USD Million (2021-2026)
  • Table 278. Netherlands Text Mining -, by Vertical USD Million (2021-2026)
  • Table 279. Netherlands Text Mining -, by Deployment USD Million (2021-2026)
  • Table 280. Rest of Europe Text Mining -, by Type USD Million (2021-2026)
  • Table 281. Rest of Europe Text Mining -, by Application USD Million (2021-2026)
  • Table 282. Rest of Europe Text Mining -, by Components USD Million (2021-2026)
  • Table 283. Rest of Europe Text Mining -, by Vertical USD Million (2021-2026)
  • Table 284. Rest of Europe Text Mining -, by Deployment USD Million (2021-2026)
  • Table 285. MEA Text Mining -, by Country USD Million (2021-2026)
  • Table 286. MEA Text Mining -, by Type USD Million (2021-2026)
  • Table 287. MEA Text Mining -, by Application USD Million (2021-2026)
  • Table 288. MEA Text Mining -, by Components USD Million (2021-2026)
  • Table 289. MEA Text Mining -, by Vertical USD Million (2021-2026)
  • Table 290. MEA Text Mining -, by Deployment USD Million (2021-2026)
  • Table 291. Middle East Text Mining -, by Type USD Million (2021-2026)
  • Table 292. Middle East Text Mining -, by Application USD Million (2021-2026)
  • Table 293. Middle East Text Mining -, by Components USD Million (2021-2026)
  • Table 294. Middle East Text Mining -, by Vertical USD Million (2021-2026)
  • Table 295. Middle East Text Mining -, by Deployment USD Million (2021-2026)
  • Table 296. Africa Text Mining -, by Type USD Million (2021-2026)
  • Table 297. Africa Text Mining -, by Application USD Million (2021-2026)
  • Table 298. Africa Text Mining -, by Components USD Million (2021-2026)
  • Table 299. Africa Text Mining -, by Vertical USD Million (2021-2026)
  • Table 300. Africa Text Mining -, by Deployment USD Million (2021-2026)
  • Table 301. North America Text Mining -, by Country USD Million (2021-2026)
  • Table 302. North America Text Mining -, by Type USD Million (2021-2026)
  • Table 303. North America Text Mining -, by Application USD Million (2021-2026)
  • Table 304. North America Text Mining -, by Components USD Million (2021-2026)
  • Table 305. North America Text Mining -, by Vertical USD Million (2021-2026)
  • Table 306. North America Text Mining -, by Deployment USD Million (2021-2026)
  • Table 307. United States Text Mining -, by Type USD Million (2021-2026)
  • Table 308. United States Text Mining -, by Application USD Million (2021-2026)
  • Table 309. United States Text Mining -, by Components USD Million (2021-2026)
  • Table 310. United States Text Mining -, by Vertical USD Million (2021-2026)
  • Table 311. United States Text Mining -, by Deployment USD Million (2021-2026)
  • Table 312. Canada Text Mining -, by Type USD Million (2021-2026)
  • Table 313. Canada Text Mining -, by Application USD Million (2021-2026)
  • Table 314. Canada Text Mining -, by Components USD Million (2021-2026)
  • Table 315. Canada Text Mining -, by Vertical USD Million (2021-2026)
  • Table 316. Canada Text Mining -, by Deployment USD Million (2021-2026)
  • Table 317. Mexico Text Mining -, by Type USD Million (2021-2026)
  • Table 318. Mexico Text Mining -, by Application USD Million (2021-2026)
  • Table 319. Mexico Text Mining -, by Components USD Million (2021-2026)
  • Table 320. Mexico Text Mining -, by Vertical USD Million (2021-2026)
  • Table 321. Mexico Text Mining -, by Deployment USD Million (2021-2026)
  • Table 322. Text Mining -: by Type(USD/Units)
  • Table 323. Research Programs/Design for This Report
  • Table 324. Key Data Information from Secondary Sources
  • Table 325. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Text Mining -: by Type USD Million (2015-2020)
  • Figure 5. Global Text Mining -: by Application USD Million (2015-2020)
  • Figure 6. Global Text Mining -: by Components USD Million (2015-2020)
  • Figure 7. Global Text Mining -: by Vertical USD Million (2015-2020)
  • Figure 8. Global Text Mining -: by Deployment USD Million (2015-2020)
  • Figure 9. South America Text Mining - Share (%), by Country
  • Figure 10. Asia Pacific Text Mining - Share (%), by Country
  • Figure 11. Europe Text Mining - Share (%), by Country
  • Figure 12. MEA Text Mining - Share (%), by Country
  • Figure 13. North America Text Mining - Share (%), by Country
  • Figure 14. Global Text Mining -: by Type USD/Units (2015-2020)
  • Figure 15. Global Text Mining - share by Players 2020 (%)
  • Figure 16. Global Text Mining - share by Players (Top 3) 2020(%)
  • Figure 17. Global Text Mining - share by Players (Top 5) 2020(%)
  • Figure 18. BCG Matrix for key Companies
  • Figure 19. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 20. IBM (United States) Revenue: by Geography 2020
  • Figure 21. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 22. Microsoft (United States) Revenue: by Geography 2020
  • Figure 23. OpenText Corporation (Canada) Revenue, Net Income and Gross profit
  • Figure 24. OpenText Corporation (Canada) Revenue: by Geography 2020
  • Figure 25. TIBCO Software (United States) Revenue, Net Income and Gross profit
  • Figure 26. TIBCO Software (United States) Revenue: by Geography 2020
  • Figure 27. RapidMiner (United States) Revenue, Net Income and Gross profit
  • Figure 28. RapidMiner (United States) Revenue: by Geography 2020
  • Figure 29. SAS Institute (United States) Revenue, Net Income and Gross profit
  • Figure 30. SAS Institute (United States) Revenue: by Geography 2020
  • Figure 31. SAP (Germany) Revenue, Net Income and Gross profit
  • Figure 32. SAP (Germany) Revenue: by Geography 2020
  • Figure 33. Lexalitics (United States) Revenue, Net Income and Gross profit
  • Figure 34. Lexalitics (United States) Revenue: by Geography 2020
  • Figure 35. MeaningCloud (United States) Revenue, Net Income and Gross profit
  • Figure 36. MeaningCloud (United States) Revenue: by Geography 2020
  • Figure 37. Quanovo Limited (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 38. Quanovo Limited (United Kingdom) Revenue: by Geography 2020
  • Figure 39. Confirmit (Norway) Revenue, Net Income and Gross profit
  • Figure 40. Confirmit (Norway) Revenue: by Geography 2020
  • Figure 41. SmartMunk GmbH (Germany) Revenue, Net Income and Gross profit
  • Figure 42. SmartMunk GmbH (Germany) Revenue: by Geography 2020
  • Figure 43. Global Text Mining -: by Type USD Million (2021-2026)
  • Figure 44. Global Text Mining -: by Application USD Million (2021-2026)
  • Figure 45. Global Text Mining -: by Components USD Million (2021-2026)
  • Figure 46. Global Text Mining -: by Vertical USD Million (2021-2026)
  • Figure 47. Global Text Mining -: by Deployment USD Million (2021-2026)
  • Figure 48. South America Text Mining - Share (%), by Country
  • Figure 49. Asia Pacific Text Mining - Share (%), by Country
  • Figure 50. Europe Text Mining - Share (%), by Country
  • Figure 51. MEA Text Mining - Share (%), by Country
  • Figure 52. North America Text Mining - Share (%), by Country
  • Figure 53. Global Text Mining -: by Type USD/Units (2021-2026)
List of companies from research coverage that are profiled in the study
  • IBM (United States)
  • Microsoft (United States)
  • OpenText Corporation (Canada)
  • TIBCO Software (United States)
  • RapidMiner (United States)
  • SAS Institute (United States)
  • SAP (Germany)
  • Lexalitics (United States)
  • MeaningCloud (United States)
  • Quanovo Limited (United Kingdom)
  • Confirmit (Norway)
  • SmartMunk GmbH (Germany)
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Key Highlights of Report


Dec 2021 232 Pages 70 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Text Mining - Market Quantitative research analysis
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The standard version of the report profiles players such as IBM (United States), Microsoft (United States), OpenText Corporation (Canada), TIBCO Software (United States), RapidMiner (United States), SAS Institute (United States), SAP (Germany), Lexalitics (United States), MeaningCloud (United States), Quanovo Limited (United Kingdom), Confirmit (Norway) and SmartMunk GmbH (Germany) etc.
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Analysts at AMA estimates Text Mining - Market to reach USD Million by 2026.

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