Global Natural Language Processing research

Natural Language Processing Comprehensive Study by Type (Rule-Based, Statistical, Hybrid), Application (Web Search, Machine Translation, Information Extraction, Automatic Summarization, Question Answering, Text Classification, Sentiment Analysis, Others (Spam Recognition and Language Identification)), Deployment Mode (Cloud-Based, On-Premises), Industry Verticals (Banking, Financial Services and Insurance (BFSI), Manufacturing, Healthcare and Life Sciences, Retail and eCommerce, Government and Defense, Media and Entertainment, Telecommunications and IT, Travel and Hospitality, Others (Research and Education, and Energy and Utilities)), Component (Solutions {Software Tools, Platform}, Services {Managed Services, Professional Services}) Players and Region - Global Market Outlook to 2027

Natural Language Processing Market by XX Submarkets | Forecast Years 2022-2027 | CAGR: 20.84%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Natural Language Processing Market Scope
Natural language processing (NLP) is a branch of AI, Which helps computers understand, interpret and manipulate human language. Natural language processing draws from many disciplines, including computational linguistics and computer science, in its pursuit to fill the gap between computer understanding and human communication.

According to AMA, the Global Natural Language Processing market is expected to see growth rate of 20.84%

Research Analyst at AMA estimates that United States, Spain, and Chinese Players will contribute to the maximum growth of Global Natural Language Processing market throughout the predicted period.

IBM (United States), Microsoft (United States), Google (United States), Amazon Web Services, Inc. (United States), Facebook (United States), Apple (United States), 3M (United States), Intel Corporation (United States) and SAS Institute (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are Baidu, Inc. (China), Inbenta Technologies (Spain), Veritone (United States), Dolbey (United States), Narrative Science (United States), Bitext (Spain), Health Fidelity, Inc. (United States), Linguamatics (United Kingdom), Conversica (United States), SparkCognition, Inc. (United States) and Automated Insights (United States).

Segmentation Overview
The study have segmented the market of Global Natural Language Processing market by Type (Rule-Based, Statistical and Hybrid), by Application (Web Search, Machine Translation, Information Extraction, Automatic Summarization, Question Answering, Text Classification, Sentiment Analysis and Others (Spam Recognition and Language Identification)) and Region with country level break-up.

On the basis of geography, the market of Natural Language Processing has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, 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).

Influencing Trend:
The Evolution of Natural Language Understanding, Use of Supervised and Unsupervised Learning Together With NLP, Replacement of Manual Translation with Machine Translation and Integrated Chatbot is the Major Trend Witnessing within the Industry

Market Growth Drivers:
Increase in Smart Device Usage and Growth in the Adoption of Cloud-Based Solutions

Challenges:
Concerns Related to Data Privacy and Unreliability of Natural Language Processing Algorithms

Restraints:
The growing use of Code-Mixed Language Resulting in Increased Complexity for Natural Language Processing Tasks

Opportunities:
Adoption of Natural Language Processing-Based Applications to Improve Customer Service and Increasing Investment in the Healthcare Industry

Market Leaders and their Expansionary Development Strategies
On 7 Aug 2019, Luminoso announced a series of new capabilities in Luminoso Daylight, the company’s natural language understanding application that offers the fastest way for businesses to analyze unstructured text data, such as product reviews, open-ended survey responses, and support tickets. With the introduction of advanced sentiment analysis and a new insights dashboard, Luminoso’s users will be able to conduct more robust analyses of unstructured customer data, faster than ever before. and On 27 Aug 2019, Indium Software, a niche technology solutions company, officially launched its flagship product ‘teX.ai’ — an Ai based Text Analytics suite of solutions to offer impeccable data scraping, validation, classification, summarization, clustering, topic modelling and a lot more.
On 16 May 2019, Punchh, the leader in digital marketing solutions for physical retailers, announced the launch of Punchh Deep Sentiment Analysis. The new product allows brands to extract valuable insights from customer reviews using Punchh’s natural language comprehension engine built with industry-leading deep learning and artificial intelligence. and On 14 Jan 2019, Ingenico Group, the global leader in seamless payment, launched its innovative payment-enabled chatbot, which uses natural language processing (NLP) from IBM Watson to create a smooth customer experience. Watson capabilities allow Ingenico’s chatbot to better understand users’ requests once they have been inputted, whatever they may be. It can better interpret nuances in language and phrasing, handling natural variations in the way individuals communicate.


Key Target Audience
Natural Language Processing Key Solutions Providers, Potential Technology Investors, Regulatory & Government Bodies, End Users, Downstream Vendors and Others

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a
preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from the total available market.

Report Objectives / Segmentation Covered

By Type
  • Rule-Based
  • Statistical
  • Hybrid
By Application
  • Web Search
  • Machine Translation
  • Information Extraction
  • Automatic Summarization
  • Question Answering
  • Text Classification
  • Sentiment Analysis
  • Others (Spam Recognition and Language Identification)
By Deployment Mode
  • Cloud-Based
  • On-Premises

By Industry Verticals
  • Banking, Financial Services and Insurance (BFSI)
  • Manufacturing
  • Healthcare and Life Sciences
  • Retail and eCommerce
  • Government and Defense
  • Media and Entertainment
  • Telecommunications and IT
  • Travel and Hospitality
  • Others (Research and Education, and Energy and Utilities)

By Component
  • Solutions {Software Tools, Platform}
  • Services {Managed Services, Professional Services}

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • 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. Increase in Smart Device Usage
      • 3.2.2. Growth in the Adoption of Cloud-Based Solutions
    • 3.3. Market Challenges
      • 3.3.1. Concerns Related to Data Privacy
      • 3.3.2. Unreliability of Natural Language Processing Algorithms
    • 3.4. Market Trends
      • 3.4.1. The Evolution of Natural Language Understanding
      • 3.4.2. Use of Supervised and Unsupervised Learning Together With NLP
      • 3.4.3. Replacement of Manual Translation with Machine Translation
      • 3.4.4. Integrated Chatbot is the Major Trend Witnessing within the Industry
  • 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 Natural Language Processing, by Type, Application, Deployment Mode, Industry Verticals, Component and Region (value) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global Natural Language Processing (Value)
      • 5.2.1. Global Natural Language Processing by: Type (Value)
        • 5.2.1.1. Rule-Based
        • 5.2.1.2. Statistical
        • 5.2.1.3. Hybrid
      • 5.2.2. Global Natural Language Processing by: Application (Value)
        • 5.2.2.1. Web Search
        • 5.2.2.2. Machine Translation
        • 5.2.2.3. Information Extraction
        • 5.2.2.4. Automatic Summarization
        • 5.2.2.5. Question Answering
        • 5.2.2.6. Text Classification
        • 5.2.2.7. Sentiment Analysis
        • 5.2.2.8. Others (Spam Recognition and Language Identification)
      • 5.2.3. Global Natural Language Processing by: Deployment Mode (Value)
        • 5.2.3.1. Cloud-Based
        • 5.2.3.2. On-Premises
      • 5.2.4. Global Natural Language Processing by: Industry Verticals (Value)
        • 5.2.4.1. Banking, Financial Services and Insurance (BFSI)
        • 5.2.4.2. Manufacturing
        • 5.2.4.3. Healthcare and Life Sciences
        • 5.2.4.4. Retail and eCommerce
        • 5.2.4.5. Government and Defense
        • 5.2.4.6. Media and Entertainment
        • 5.2.4.7. Telecommunications and IT
        • 5.2.4.8. Travel and Hospitality
        • 5.2.4.9. Others (Research and Education, and Energy and Utilities)
      • 5.2.5. Global Natural Language Processing by: Component (Value)
        • 5.2.5.1. Solutions {Software Tools, Platform}
        • 5.2.5.2. Services {Managed Services, Professional Services}
      • 5.2.6. Global Natural Language Processing 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. Taiwan
          • 5.2.6.2.6. Australia
          • 5.2.6.2.7. 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
  • 6. Natural Language Processing: 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 (2021)
    • 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. Google (United States)
        • 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. Amazon Web Services, Inc. (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. Facebook (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. Apple (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. 3M (United States)
        • 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. Intel Corporation (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. SAS Institute (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
  • 7. Global Natural Language Processing Sale, by Type, Application, Deployment Mode, Industry Verticals, Component and Region (value) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global Natural Language Processing (Value)
      • 7.2.1. Global Natural Language Processing by: Type (Value)
        • 7.2.1.1. Rule-Based
        • 7.2.1.2. Statistical
        • 7.2.1.3. Hybrid
      • 7.2.2. Global Natural Language Processing by: Application (Value)
        • 7.2.2.1. Web Search
        • 7.2.2.2. Machine Translation
        • 7.2.2.3. Information Extraction
        • 7.2.2.4. Automatic Summarization
        • 7.2.2.5. Question Answering
        • 7.2.2.6. Text Classification
        • 7.2.2.7. Sentiment Analysis
        • 7.2.2.8. Others (Spam Recognition and Language Identification)
      • 7.2.3. Global Natural Language Processing by: Deployment Mode (Value)
        • 7.2.3.1. Cloud-Based
        • 7.2.3.2. On-Premises
      • 7.2.4. Global Natural Language Processing by: Industry Verticals (Value)
        • 7.2.4.1. Banking, Financial Services and Insurance (BFSI)
        • 7.2.4.2. Manufacturing
        • 7.2.4.3. Healthcare and Life Sciences
        • 7.2.4.4. Retail and eCommerce
        • 7.2.4.5. Government and Defense
        • 7.2.4.6. Media and Entertainment
        • 7.2.4.7. Telecommunications and IT
        • 7.2.4.8. Travel and Hospitality
        • 7.2.4.9. Others (Research and Education, and Energy and Utilities)
      • 7.2.5. Global Natural Language Processing by: Component (Value)
        • 7.2.5.1. Solutions {Software Tools, Platform}
        • 7.2.5.2. Services {Managed Services, Professional Services}
      • 7.2.6. Global Natural Language Processing 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. Taiwan
          • 7.2.6.2.6. Australia
          • 7.2.6.2.7. 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
  • 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. Natural Language Processing: by Type(USD Million)
  • Table 2. Natural Language Processing Rule-Based , by Region USD Million (2016-2021)
  • Table 3. Natural Language Processing Statistical , by Region USD Million (2016-2021)
  • Table 4. Natural Language Processing Hybrid , by Region USD Million (2016-2021)
  • Table 5. Natural Language Processing: by Application(USD Million)
  • Table 6. Natural Language Processing Web Search , by Region USD Million (2016-2021)
  • Table 7. Natural Language Processing Machine Translation , by Region USD Million (2016-2021)
  • Table 8. Natural Language Processing Information Extraction , by Region USD Million (2016-2021)
  • Table 9. Natural Language Processing Automatic Summarization , by Region USD Million (2016-2021)
  • Table 10. Natural Language Processing Question Answering , by Region USD Million (2016-2021)
  • Table 11. Natural Language Processing Text Classification , by Region USD Million (2016-2021)
  • Table 12. Natural Language Processing Sentiment Analysis , by Region USD Million (2016-2021)
  • Table 13. Natural Language Processing Others (Spam Recognition and Language Identification) , by Region USD Million (2016-2021)
  • Table 14. Natural Language Processing: by Deployment Mode(USD Million)
  • Table 15. Natural Language Processing Cloud-Based , by Region USD Million (2016-2021)
  • Table 16. Natural Language Processing On-Premises , by Region USD Million (2016-2021)
  • Table 17. Natural Language Processing: by Industry Verticals(USD Million)
  • Table 18. Natural Language Processing Banking, Financial Services and Insurance (BFSI) , by Region USD Million (2016-2021)
  • Table 19. Natural Language Processing Manufacturing , by Region USD Million (2016-2021)
  • Table 20. Natural Language Processing Healthcare and Life Sciences , by Region USD Million (2016-2021)
  • Table 21. Natural Language Processing Retail and eCommerce , by Region USD Million (2016-2021)
  • Table 22. Natural Language Processing Government and Defense , by Region USD Million (2016-2021)
  • Table 23. Natural Language Processing Media and Entertainment , by Region USD Million (2016-2021)
  • Table 24. Natural Language Processing Telecommunications and IT , by Region USD Million (2016-2021)
  • Table 25. Natural Language Processing Travel and Hospitality , by Region USD Million (2016-2021)
  • Table 26. Natural Language Processing Others (Research and Education, and Energy and Utilities) , by Region USD Million (2016-2021)
  • Table 27. Natural Language Processing: by Component(USD Million)
  • Table 28. Natural Language Processing Solutions {Software Tools, Platform} , by Region USD Million (2016-2021)
  • Table 29. Natural Language Processing Services {Managed Services, Professional Services} , by Region USD Million (2016-2021)
  • Table 30. South America Natural Language Processing, by Country USD Million (2016-2021)
  • Table 31. South America Natural Language Processing, by Type USD Million (2016-2021)
  • Table 32. South America Natural Language Processing, by Application USD Million (2016-2021)
  • Table 33. South America Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 34. South America Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 35. South America Natural Language Processing, by Component USD Million (2016-2021)
  • Table 36. Brazil Natural Language Processing, by Type USD Million (2016-2021)
  • Table 37. Brazil Natural Language Processing, by Application USD Million (2016-2021)
  • Table 38. Brazil Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 39. Brazil Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 40. Brazil Natural Language Processing, by Component USD Million (2016-2021)
  • Table 41. Argentina Natural Language Processing, by Type USD Million (2016-2021)
  • Table 42. Argentina Natural Language Processing, by Application USD Million (2016-2021)
  • Table 43. Argentina Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 44. Argentina Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 45. Argentina Natural Language Processing, by Component USD Million (2016-2021)
  • Table 46. Rest of South America Natural Language Processing, by Type USD Million (2016-2021)
  • Table 47. Rest of South America Natural Language Processing, by Application USD Million (2016-2021)
  • Table 48. Rest of South America Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 49. Rest of South America Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 50. Rest of South America Natural Language Processing, by Component USD Million (2016-2021)
  • Table 51. Asia Pacific Natural Language Processing, by Country USD Million (2016-2021)
  • Table 52. Asia Pacific Natural Language Processing, by Type USD Million (2016-2021)
  • Table 53. Asia Pacific Natural Language Processing, by Application USD Million (2016-2021)
  • Table 54. Asia Pacific Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 55. Asia Pacific Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 56. Asia Pacific Natural Language Processing, by Component USD Million (2016-2021)
  • Table 57. China Natural Language Processing, by Type USD Million (2016-2021)
  • Table 58. China Natural Language Processing, by Application USD Million (2016-2021)
  • Table 59. China Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 60. China Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 61. China Natural Language Processing, by Component USD Million (2016-2021)
  • Table 62. Japan Natural Language Processing, by Type USD Million (2016-2021)
  • Table 63. Japan Natural Language Processing, by Application USD Million (2016-2021)
  • Table 64. Japan Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 65. Japan Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 66. Japan Natural Language Processing, by Component USD Million (2016-2021)
  • Table 67. India Natural Language Processing, by Type USD Million (2016-2021)
  • Table 68. India Natural Language Processing, by Application USD Million (2016-2021)
  • Table 69. India Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 70. India Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 71. India Natural Language Processing, by Component USD Million (2016-2021)
  • Table 72. South Korea Natural Language Processing, by Type USD Million (2016-2021)
  • Table 73. South Korea Natural Language Processing, by Application USD Million (2016-2021)
  • Table 74. South Korea Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 75. South Korea Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 76. South Korea Natural Language Processing, by Component USD Million (2016-2021)
  • Table 77. Taiwan Natural Language Processing, by Type USD Million (2016-2021)
  • Table 78. Taiwan Natural Language Processing, by Application USD Million (2016-2021)
  • Table 79. Taiwan Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 80. Taiwan Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 81. Taiwan Natural Language Processing, by Component USD Million (2016-2021)
  • Table 82. Australia Natural Language Processing, by Type USD Million (2016-2021)
  • Table 83. Australia Natural Language Processing, by Application USD Million (2016-2021)
  • Table 84. Australia Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 85. Australia Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 86. Australia Natural Language Processing, by Component USD Million (2016-2021)
  • Table 87. Rest of Asia-Pacific Natural Language Processing, by Type USD Million (2016-2021)
  • Table 88. Rest of Asia-Pacific Natural Language Processing, by Application USD Million (2016-2021)
  • Table 89. Rest of Asia-Pacific Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 90. Rest of Asia-Pacific Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 91. Rest of Asia-Pacific Natural Language Processing, by Component USD Million (2016-2021)
  • Table 92. Europe Natural Language Processing, by Country USD Million (2016-2021)
  • Table 93. Europe Natural Language Processing, by Type USD Million (2016-2021)
  • Table 94. Europe Natural Language Processing, by Application USD Million (2016-2021)
  • Table 95. Europe Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 96. Europe Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 97. Europe Natural Language Processing, by Component USD Million (2016-2021)
  • Table 98. Germany Natural Language Processing, by Type USD Million (2016-2021)
  • Table 99. Germany Natural Language Processing, by Application USD Million (2016-2021)
  • Table 100. Germany Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 101. Germany Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 102. Germany Natural Language Processing, by Component USD Million (2016-2021)
  • Table 103. France Natural Language Processing, by Type USD Million (2016-2021)
  • Table 104. France Natural Language Processing, by Application USD Million (2016-2021)
  • Table 105. France Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 106. France Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 107. France Natural Language Processing, by Component USD Million (2016-2021)
  • Table 108. Italy Natural Language Processing, by Type USD Million (2016-2021)
  • Table 109. Italy Natural Language Processing, by Application USD Million (2016-2021)
  • Table 110. Italy Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 111. Italy Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 112. Italy Natural Language Processing, by Component USD Million (2016-2021)
  • Table 113. United Kingdom Natural Language Processing, by Type USD Million (2016-2021)
  • Table 114. United Kingdom Natural Language Processing, by Application USD Million (2016-2021)
  • Table 115. United Kingdom Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 116. United Kingdom Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 117. United Kingdom Natural Language Processing, by Component USD Million (2016-2021)
  • Table 118. Netherlands Natural Language Processing, by Type USD Million (2016-2021)
  • Table 119. Netherlands Natural Language Processing, by Application USD Million (2016-2021)
  • Table 120. Netherlands Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 121. Netherlands Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 122. Netherlands Natural Language Processing, by Component USD Million (2016-2021)
  • Table 123. Rest of Europe Natural Language Processing, by Type USD Million (2016-2021)
  • Table 124. Rest of Europe Natural Language Processing, by Application USD Million (2016-2021)
  • Table 125. Rest of Europe Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 126. Rest of Europe Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 127. Rest of Europe Natural Language Processing, by Component USD Million (2016-2021)
  • Table 128. MEA Natural Language Processing, by Country USD Million (2016-2021)
  • Table 129. MEA Natural Language Processing, by Type USD Million (2016-2021)
  • Table 130. MEA Natural Language Processing, by Application USD Million (2016-2021)
  • Table 131. MEA Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 132. MEA Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 133. MEA Natural Language Processing, by Component USD Million (2016-2021)
  • Table 134. Middle East Natural Language Processing, by Type USD Million (2016-2021)
  • Table 135. Middle East Natural Language Processing, by Application USD Million (2016-2021)
  • Table 136. Middle East Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 137. Middle East Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 138. Middle East Natural Language Processing, by Component USD Million (2016-2021)
  • Table 139. Africa Natural Language Processing, by Type USD Million (2016-2021)
  • Table 140. Africa Natural Language Processing, by Application USD Million (2016-2021)
  • Table 141. Africa Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 142. Africa Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 143. Africa Natural Language Processing, by Component USD Million (2016-2021)
  • Table 144. North America Natural Language Processing, by Country USD Million (2016-2021)
  • Table 145. North America Natural Language Processing, by Type USD Million (2016-2021)
  • Table 146. North America Natural Language Processing, by Application USD Million (2016-2021)
  • Table 147. North America Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 148. North America Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 149. North America Natural Language Processing, by Component USD Million (2016-2021)
  • Table 150. United States Natural Language Processing, by Type USD Million (2016-2021)
  • Table 151. United States Natural Language Processing, by Application USD Million (2016-2021)
  • Table 152. United States Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 153. United States Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 154. United States Natural Language Processing, by Component USD Million (2016-2021)
  • Table 155. Canada Natural Language Processing, by Type USD Million (2016-2021)
  • Table 156. Canada Natural Language Processing, by Application USD Million (2016-2021)
  • Table 157. Canada Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 158. Canada Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 159. Canada Natural Language Processing, by Component USD Million (2016-2021)
  • Table 160. Mexico Natural Language Processing, by Type USD Million (2016-2021)
  • Table 161. Mexico Natural Language Processing, by Application USD Million (2016-2021)
  • Table 162. Mexico Natural Language Processing, by Deployment Mode USD Million (2016-2021)
  • Table 163. Mexico Natural Language Processing, by Industry Verticals USD Million (2016-2021)
  • Table 164. Mexico Natural Language Processing, by Component USD Million (2016-2021)
  • 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. Company Basic Information, Sales Area and Its Competitors
  • Table 169. Company Basic Information, Sales Area and Its Competitors
  • Table 170. Company Basic Information, Sales Area and Its Competitors
  • Table 171. Company Basic Information, Sales Area and Its Competitors
  • Table 172. Company Basic Information, Sales Area and Its Competitors
  • Table 173. Company Basic Information, Sales Area and Its Competitors
  • Table 174. Natural Language Processing: by Type(USD Million)
  • Table 175. Natural Language Processing Rule-Based , by Region USD Million (2022-2027)
  • Table 176. Natural Language Processing Statistical , by Region USD Million (2022-2027)
  • Table 177. Natural Language Processing Hybrid , by Region USD Million (2022-2027)
  • Table 178. Natural Language Processing: by Application(USD Million)
  • Table 179. Natural Language Processing Web Search , by Region USD Million (2022-2027)
  • Table 180. Natural Language Processing Machine Translation , by Region USD Million (2022-2027)
  • Table 181. Natural Language Processing Information Extraction , by Region USD Million (2022-2027)
  • Table 182. Natural Language Processing Automatic Summarization , by Region USD Million (2022-2027)
  • Table 183. Natural Language Processing Question Answering , by Region USD Million (2022-2027)
  • Table 184. Natural Language Processing Text Classification , by Region USD Million (2022-2027)
  • Table 185. Natural Language Processing Sentiment Analysis , by Region USD Million (2022-2027)
  • Table 186. Natural Language Processing Others (Spam Recognition and Language Identification) , by Region USD Million (2022-2027)
  • Table 187. Natural Language Processing: by Deployment Mode(USD Million)
  • Table 188. Natural Language Processing Cloud-Based , by Region USD Million (2022-2027)
  • Table 189. Natural Language Processing On-Premises , by Region USD Million (2022-2027)
  • Table 190. Natural Language Processing: by Industry Verticals(USD Million)
  • Table 191. Natural Language Processing Banking, Financial Services and Insurance (BFSI) , by Region USD Million (2022-2027)
  • Table 192. Natural Language Processing Manufacturing , by Region USD Million (2022-2027)
  • Table 193. Natural Language Processing Healthcare and Life Sciences , by Region USD Million (2022-2027)
  • Table 194. Natural Language Processing Retail and eCommerce , by Region USD Million (2022-2027)
  • Table 195. Natural Language Processing Government and Defense , by Region USD Million (2022-2027)
  • Table 196. Natural Language Processing Media and Entertainment , by Region USD Million (2022-2027)
  • Table 197. Natural Language Processing Telecommunications and IT , by Region USD Million (2022-2027)
  • Table 198. Natural Language Processing Travel and Hospitality , by Region USD Million (2022-2027)
  • Table 199. Natural Language Processing Others (Research and Education, and Energy and Utilities) , by Region USD Million (2022-2027)
  • Table 200. Natural Language Processing: by Component(USD Million)
  • Table 201. Natural Language Processing Solutions {Software Tools, Platform} , by Region USD Million (2022-2027)
  • Table 202. Natural Language Processing Services {Managed Services, Professional Services} , by Region USD Million (2022-2027)
  • Table 203. South America Natural Language Processing, by Country USD Million (2022-2027)
  • Table 204. South America Natural Language Processing, by Type USD Million (2022-2027)
  • Table 205. South America Natural Language Processing, by Application USD Million (2022-2027)
  • Table 206. South America Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 207. South America Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 208. South America Natural Language Processing, by Component USD Million (2022-2027)
  • Table 209. Brazil Natural Language Processing, by Type USD Million (2022-2027)
  • Table 210. Brazil Natural Language Processing, by Application USD Million (2022-2027)
  • Table 211. Brazil Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 212. Brazil Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 213. Brazil Natural Language Processing, by Component USD Million (2022-2027)
  • Table 214. Argentina Natural Language Processing, by Type USD Million (2022-2027)
  • Table 215. Argentina Natural Language Processing, by Application USD Million (2022-2027)
  • Table 216. Argentina Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 217. Argentina Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 218. Argentina Natural Language Processing, by Component USD Million (2022-2027)
  • Table 219. Rest of South America Natural Language Processing, by Type USD Million (2022-2027)
  • Table 220. Rest of South America Natural Language Processing, by Application USD Million (2022-2027)
  • Table 221. Rest of South America Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 222. Rest of South America Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 223. Rest of South America Natural Language Processing, by Component USD Million (2022-2027)
  • Table 224. Asia Pacific Natural Language Processing, by Country USD Million (2022-2027)
  • Table 225. Asia Pacific Natural Language Processing, by Type USD Million (2022-2027)
  • Table 226. Asia Pacific Natural Language Processing, by Application USD Million (2022-2027)
  • Table 227. Asia Pacific Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 228. Asia Pacific Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 229. Asia Pacific Natural Language Processing, by Component USD Million (2022-2027)
  • Table 230. China Natural Language Processing, by Type USD Million (2022-2027)
  • Table 231. China Natural Language Processing, by Application USD Million (2022-2027)
  • Table 232. China Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 233. China Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 234. China Natural Language Processing, by Component USD Million (2022-2027)
  • Table 235. Japan Natural Language Processing, by Type USD Million (2022-2027)
  • Table 236. Japan Natural Language Processing, by Application USD Million (2022-2027)
  • Table 237. Japan Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 238. Japan Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 239. Japan Natural Language Processing, by Component USD Million (2022-2027)
  • Table 240. India Natural Language Processing, by Type USD Million (2022-2027)
  • Table 241. India Natural Language Processing, by Application USD Million (2022-2027)
  • Table 242. India Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 243. India Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 244. India Natural Language Processing, by Component USD Million (2022-2027)
  • Table 245. South Korea Natural Language Processing, by Type USD Million (2022-2027)
  • Table 246. South Korea Natural Language Processing, by Application USD Million (2022-2027)
  • Table 247. South Korea Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 248. South Korea Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 249. South Korea Natural Language Processing, by Component USD Million (2022-2027)
  • Table 250. Taiwan Natural Language Processing, by Type USD Million (2022-2027)
  • Table 251. Taiwan Natural Language Processing, by Application USD Million (2022-2027)
  • Table 252. Taiwan Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 253. Taiwan Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 254. Taiwan Natural Language Processing, by Component USD Million (2022-2027)
  • Table 255. Australia Natural Language Processing, by Type USD Million (2022-2027)
  • Table 256. Australia Natural Language Processing, by Application USD Million (2022-2027)
  • Table 257. Australia Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 258. Australia Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 259. Australia Natural Language Processing, by Component USD Million (2022-2027)
  • Table 260. Rest of Asia-Pacific Natural Language Processing, by Type USD Million (2022-2027)
  • Table 261. Rest of Asia-Pacific Natural Language Processing, by Application USD Million (2022-2027)
  • Table 262. Rest of Asia-Pacific Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 263. Rest of Asia-Pacific Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 264. Rest of Asia-Pacific Natural Language Processing, by Component USD Million (2022-2027)
  • Table 265. Europe Natural Language Processing, by Country USD Million (2022-2027)
  • Table 266. Europe Natural Language Processing, by Type USD Million (2022-2027)
  • Table 267. Europe Natural Language Processing, by Application USD Million (2022-2027)
  • Table 268. Europe Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 269. Europe Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 270. Europe Natural Language Processing, by Component USD Million (2022-2027)
  • Table 271. Germany Natural Language Processing, by Type USD Million (2022-2027)
  • Table 272. Germany Natural Language Processing, by Application USD Million (2022-2027)
  • Table 273. Germany Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 274. Germany Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 275. Germany Natural Language Processing, by Component USD Million (2022-2027)
  • Table 276. France Natural Language Processing, by Type USD Million (2022-2027)
  • Table 277. France Natural Language Processing, by Application USD Million (2022-2027)
  • Table 278. France Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 279. France Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 280. France Natural Language Processing, by Component USD Million (2022-2027)
  • Table 281. Italy Natural Language Processing, by Type USD Million (2022-2027)
  • Table 282. Italy Natural Language Processing, by Application USD Million (2022-2027)
  • Table 283. Italy Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 284. Italy Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 285. Italy Natural Language Processing, by Component USD Million (2022-2027)
  • Table 286. United Kingdom Natural Language Processing, by Type USD Million (2022-2027)
  • Table 287. United Kingdom Natural Language Processing, by Application USD Million (2022-2027)
  • Table 288. United Kingdom Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 289. United Kingdom Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 290. United Kingdom Natural Language Processing, by Component USD Million (2022-2027)
  • Table 291. Netherlands Natural Language Processing, by Type USD Million (2022-2027)
  • Table 292. Netherlands Natural Language Processing, by Application USD Million (2022-2027)
  • Table 293. Netherlands Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 294. Netherlands Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 295. Netherlands Natural Language Processing, by Component USD Million (2022-2027)
  • Table 296. Rest of Europe Natural Language Processing, by Type USD Million (2022-2027)
  • Table 297. Rest of Europe Natural Language Processing, by Application USD Million (2022-2027)
  • Table 298. Rest of Europe Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 299. Rest of Europe Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 300. Rest of Europe Natural Language Processing, by Component USD Million (2022-2027)
  • Table 301. MEA Natural Language Processing, by Country USD Million (2022-2027)
  • Table 302. MEA Natural Language Processing, by Type USD Million (2022-2027)
  • Table 303. MEA Natural Language Processing, by Application USD Million (2022-2027)
  • Table 304. MEA Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 305. MEA Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 306. MEA Natural Language Processing, by Component USD Million (2022-2027)
  • Table 307. Middle East Natural Language Processing, by Type USD Million (2022-2027)
  • Table 308. Middle East Natural Language Processing, by Application USD Million (2022-2027)
  • Table 309. Middle East Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 310. Middle East Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 311. Middle East Natural Language Processing, by Component USD Million (2022-2027)
  • Table 312. Africa Natural Language Processing, by Type USD Million (2022-2027)
  • Table 313. Africa Natural Language Processing, by Application USD Million (2022-2027)
  • Table 314. Africa Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 315. Africa Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 316. Africa Natural Language Processing, by Component USD Million (2022-2027)
  • Table 317. North America Natural Language Processing, by Country USD Million (2022-2027)
  • Table 318. North America Natural Language Processing, by Type USD Million (2022-2027)
  • Table 319. North America Natural Language Processing, by Application USD Million (2022-2027)
  • Table 320. North America Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 321. North America Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 322. North America Natural Language Processing, by Component USD Million (2022-2027)
  • Table 323. United States Natural Language Processing, by Type USD Million (2022-2027)
  • Table 324. United States Natural Language Processing, by Application USD Million (2022-2027)
  • Table 325. United States Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 326. United States Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 327. United States Natural Language Processing, by Component USD Million (2022-2027)
  • Table 328. Canada Natural Language Processing, by Type USD Million (2022-2027)
  • Table 329. Canada Natural Language Processing, by Application USD Million (2022-2027)
  • Table 330. Canada Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 331. Canada Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 332. Canada Natural Language Processing, by Component USD Million (2022-2027)
  • Table 333. Mexico Natural Language Processing, by Type USD Million (2022-2027)
  • Table 334. Mexico Natural Language Processing, by Application USD Million (2022-2027)
  • Table 335. Mexico Natural Language Processing, by Deployment Mode USD Million (2022-2027)
  • Table 336. Mexico Natural Language Processing, by Industry Verticals USD Million (2022-2027)
  • Table 337. Mexico Natural Language Processing, by Component USD Million (2022-2027)
  • Table 338. Research Programs/Design for This Report
  • Table 339. Key Data Information from Secondary Sources
  • Table 340. 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 Natural Language Processing: by Type USD Million (2016-2021)
  • Figure 5. Global Natural Language Processing: by Application USD Million (2016-2021)
  • Figure 6. Global Natural Language Processing: by Deployment Mode USD Million (2016-2021)
  • Figure 7. Global Natural Language Processing: by Industry Verticals USD Million (2016-2021)
  • Figure 8. Global Natural Language Processing: by Component USD Million (2016-2021)
  • Figure 9. South America Natural Language Processing Share (%), by Country
  • Figure 10. Asia Pacific Natural Language Processing Share (%), by Country
  • Figure 11. Europe Natural Language Processing Share (%), by Country
  • Figure 12. MEA Natural Language Processing Share (%), by Country
  • Figure 13. North America Natural Language Processing Share (%), by Country
  • Figure 14. Global Natural Language Processing share by Players 2021 (%)
  • Figure 15. Global Natural Language Processing share by Players (Top 3) 2021(%)
  • Figure 16. Global Natural Language Processing share by Players (Top 5) 2021(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 19. IBM (United States) Revenue: by Geography 2021
  • Figure 20. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 21. Microsoft (United States) Revenue: by Geography 2021
  • Figure 22. Google (United States) Revenue, Net Income and Gross profit
  • Figure 23. Google (United States) Revenue: by Geography 2021
  • Figure 24. Amazon Web Services, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 25. Amazon Web Services, Inc. (United States) Revenue: by Geography 2021
  • Figure 26. Facebook (United States) Revenue, Net Income and Gross profit
  • Figure 27. Facebook (United States) Revenue: by Geography 2021
  • Figure 28. Apple (United States) Revenue, Net Income and Gross profit
  • Figure 29. Apple (United States) Revenue: by Geography 2021
  • Figure 30. 3M (United States) Revenue, Net Income and Gross profit
  • Figure 31. 3M (United States) Revenue: by Geography 2021
  • Figure 32. Intel Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 33. Intel Corporation (United States) Revenue: by Geography 2021
  • Figure 34. SAS Institute (United States) Revenue, Net Income and Gross profit
  • Figure 35. SAS Institute (United States) Revenue: by Geography 2021
  • Figure 36. Global Natural Language Processing: by Type USD Million (2022-2027)
  • Figure 37. Global Natural Language Processing: by Application USD Million (2022-2027)
  • Figure 38. Global Natural Language Processing: by Deployment Mode USD Million (2022-2027)
  • Figure 39. Global Natural Language Processing: by Industry Verticals USD Million (2022-2027)
  • Figure 40. Global Natural Language Processing: by Component USD Million (2022-2027)
  • Figure 41. South America Natural Language Processing Share (%), by Country
  • Figure 42. Asia Pacific Natural Language Processing Share (%), by Country
  • Figure 43. Europe Natural Language Processing Share (%), by Country
  • Figure 44. MEA Natural Language Processing Share (%), by Country
  • Figure 45. North America Natural Language Processing Share (%), by Country
List of companies from research coverage that are profiled in the study
  • IBM (United States)
  • Microsoft (United States)
  • Google (United States)
  • Amazon Web Services, Inc. (United States)
  • Facebook (United States)
  • Apple (United States)
  • 3M (United States)
  • Intel Corporation (United States)
  • SAS Institute (United States)
Additional players considered in the study are as follows:
Baidu, Inc. (China) , Inbenta Technologies (Spain) , Veritone (United States) , Dolbey (United States) , Narrative Science (United States) , Bitext (Spain) , Health Fidelity, Inc. (United States) , Linguamatics (United Kingdom) , Conversica (United States) , SparkCognition, Inc. (United States) , Automated Insights (United States)
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Oct 2022 212 Pages 79 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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