Global Natural Language Understanding (NLU) Market
Global Natural Language Understanding (NLU) Market

Natural Language Understanding (NLU) Comprehensive Study by Type (Machine Translation, Voice-First Technologies, Chatbots, Conversational Search), Application (Manufacturing, Healthcare, Other), Components (Software, Service), Organization Size (Small and Medium Size Organizations, Large Size Organizations) Players and Region - Global Market Outlook to 2025

Natural Language Understanding (NLU) Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025  

Dec 2020 Edition 212 Pages 210 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
What is Natural Language Understanding (NLU) Market?

Natural language understanding (NLU) is a branch of artificial intelligence (AI) that hereby uses computer software to understand the input in the form of sentences in text or speech format. NLU directly enables human-computer interaction (HCI). Understanding the NLU for the purpose of natural human languages enables the computers to understand commands without the formalized syntax of computer languages, as well as computers to communicate with people in their own language. The field of NLU is important as well as a challenging subset of natural language processing (NLP). While both understand human language, the NLU's job is to communicate with untrained people and understand their intentions, which hereby means that the NLU goes beyond understanding words and interprets meaning. NLU is even programmed with the ability to understand the meaning despite common human errors such as incorrect pronunciations or transposed letters or words. NLU uses algorithms to reduce human language into a structured ontology. AI fishes out things like intent, timing, places, and feelings.

The market study is being classified by Type (Machine Translation, Voice-First Technologies, Chatbots and Conversational Search), by Application (Manufacturing, Healthcare and Other) and major geographies with country level break-up.

IBM (United States), A.S. Watson Group (Hong Kong), Nuance Communications (United States), Amazon Web Services (United States), Microsoft Corporation (United States), SAS Institute (United States), Idiap Research Institute (United States) and The Aspect NLU Lab (United States) are some of the key players profiled in the study.

The companies are exploring the market by adopting expansions, investments, new service launches, and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions across the globe to avail of competitive advantage through combined collaborations. Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Natural Language Understanding (NLU) market throughout the predicted period.

Segment Analysis
Analyst at AMA have segmented the market study of Global Natural Language Understanding (NLU) market by Type, Application and Region.

On the basis of geography, the market of Natural Language Understanding (NLU) 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). Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • The Rise in the Utility of Smart Devices
  • The Increasing Demand for Enhanced Customer Experience
  • The Surging Investments in the Healthcare Sector

Market Trend
  • The Emergence of Several New Application Areas
  • The Increasing Use of Voice Recognition in Several Industries
  • The Rising Spending Capabilities of the People

Restraints
  • The Need to Narrow the Gap between Machine and Man
  • The Implementation of Strict Government Regulations

Opportunities
  • The Increasing Awareness about Perceived Benefits of NLP
  • Rapid Developments in Infrastructure
  • The High Adoption of Digital Technologies

Challenges
  • The Need for Effective Predictive Technologies
  • Fluctuating Customer Adoption Trends





Key Target Audience
New Entrants/Investors, Analysts and Strategic Business Planners, Venture Capitalists, Private Equity Firms, Government Regulatory, Research Organizations and End-Use Industry

Customization in the Report Available:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be informed prior purchase
Report Objectives / Segmentation Covered
By Type
  • Machine Translation
  • Voice-First Technologies
  • Chatbots
  • Conversational Search
By Application
  • Manufacturing
  • Healthcare
  • Other
By Components
  • Software
  • Service

By Organization Size
  • Small and Medium Size Organizations
  • Large Size Organizations

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. The Rise in the Utility of Smart Devices
      • 3.2.2. The Increasing Demand for Enhanced Customer Experience
      • 3.2.3. The Surging Investments in the Healthcare Sector
    • 3.3. Market Challenges
      • 3.3.1. The Need for Effective Predictive Technologies
      • 3.3.2. Fluctuating Customer Adoption Trends
    • 3.4. Market Trends
      • 3.4.1. The Emergence of Several New Application Areas
      • 3.4.2. The Increasing Use of Voice Recognition in Several Industries
      • 3.4.3. The Rising Spending Capabilities of the People
  • 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 Understanding (NLU), by Type, Application, Components, Organization Size and Region (value) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global Natural Language Understanding (NLU) (Value)
      • 5.2.1. Global Natural Language Understanding (NLU) by: Type (Value)
        • 5.2.1.1. Machine Translation
        • 5.2.1.2. Voice-First Technologies
        • 5.2.1.3. Chatbots
        • 5.2.1.4. Conversational Search
      • 5.2.2. Global Natural Language Understanding (NLU) by: Application (Value)
        • 5.2.2.1. Manufacturing
        • 5.2.2.2. Healthcare
        • 5.2.2.3. Other
      • 5.2.3. Global Natural Language Understanding (NLU) by: Components (Value)
        • 5.2.3.1. Software
        • 5.2.3.2. Service
      • 5.2.4. Global Natural Language Understanding (NLU) by: Organization Size (Value)
        • 5.2.4.1. Small and Medium Size Organizations
        • 5.2.4.2. Large Size Organizations
      • 5.2.5. Global Natural Language Understanding (NLU) Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. Natural Language Understanding (NLU): 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 (2019)
    • 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. A.S. Watson Group (Hong Kong)
        • 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. Nuance Communications (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 (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. Microsoft Corporation (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. Idiap Research Institute (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. The Aspect NLU Lab (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
  • 7. Global Natural Language Understanding (NLU) Sale, by Type, Application, Components, Organization Size and Region (value) (2020-2025)
    • 7.1. Introduction
    • 7.2. Global Natural Language Understanding (NLU) (Value)
      • 7.2.1. Global Natural Language Understanding (NLU) by: Type (Value)
        • 7.2.1.1. Machine Translation
        • 7.2.1.2. Voice-First Technologies
        • 7.2.1.3. Chatbots
        • 7.2.1.4. Conversational Search
      • 7.2.2. Global Natural Language Understanding (NLU) by: Application (Value)
        • 7.2.2.1. Manufacturing
        • 7.2.2.2. Healthcare
        • 7.2.2.3. Other
      • 7.2.3. Global Natural Language Understanding (NLU) by: Components (Value)
        • 7.2.3.1. Software
        • 7.2.3.2. Service
      • 7.2.4. Global Natural Language Understanding (NLU) by: Organization Size (Value)
        • 7.2.4.1. Small and Medium Size Organizations
        • 7.2.4.2. Large Size Organizations
      • 7.2.5. Global Natural Language Understanding (NLU) Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. 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 Understanding (NLU): by Type(USD Million)
  • Table 2. Natural Language Understanding (NLU) Machine Translation , by Region USD Million (2014-2019)
  • Table 3. Natural Language Understanding (NLU) Voice-First Technologies , by Region USD Million (2014-2019)
  • Table 4. Natural Language Understanding (NLU) Chatbots , by Region USD Million (2014-2019)
  • Table 5. Natural Language Understanding (NLU) Conversational Search , by Region USD Million (2014-2019)
  • Table 6. Natural Language Understanding (NLU): by Application(USD Million)
  • Table 7. Natural Language Understanding (NLU) Manufacturing , by Region USD Million (2014-2019)
  • Table 8. Natural Language Understanding (NLU) Healthcare , by Region USD Million (2014-2019)
  • Table 9. Natural Language Understanding (NLU) Other , by Region USD Million (2014-2019)
  • Table 10. Natural Language Understanding (NLU): by Components(USD Million)
  • Table 11. Natural Language Understanding (NLU) Software , by Region USD Million (2014-2019)
  • Table 12. Natural Language Understanding (NLU) Service , by Region USD Million (2014-2019)
  • Table 13. Natural Language Understanding (NLU): by Organization Size(USD Million)
  • Table 14. Natural Language Understanding (NLU) Small and Medium Size Organizations , by Region USD Million (2014-2019)
  • Table 15. Natural Language Understanding (NLU) Large Size Organizations , by Region USD Million (2014-2019)
  • Table 16. South America Natural Language Understanding (NLU), by Country USD Million (2014-2019)
  • Table 17. South America Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 18. South America Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 19. South America Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 20. South America Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 21. Brazil Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 22. Brazil Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 23. Brazil Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 24. Brazil Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 25. Argentina Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 26. Argentina Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 27. Argentina Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 28. Argentina Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 29. Rest of South America Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 30. Rest of South America Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 31. Rest of South America Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 32. Rest of South America Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 33. Asia Pacific Natural Language Understanding (NLU), by Country USD Million (2014-2019)
  • Table 34. Asia Pacific Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 35. Asia Pacific Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 36. Asia Pacific Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 37. Asia Pacific Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 38. China Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 39. China Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 40. China Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 41. China Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 42. Japan Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 43. Japan Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 44. Japan Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 45. Japan Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 46. India Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 47. India Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 48. India Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 49. India Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 50. South Korea Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 51. South Korea Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 52. South Korea Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 53. South Korea Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 54. Taiwan Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 55. Taiwan Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 56. Taiwan Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 57. Taiwan Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 58. Australia Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 59. Australia Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 60. Australia Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 61. Australia Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 62. Rest of Asia-Pacific Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 63. Rest of Asia-Pacific Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 64. Rest of Asia-Pacific Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 65. Rest of Asia-Pacific Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 66. Europe Natural Language Understanding (NLU), by Country USD Million (2014-2019)
  • Table 67. Europe Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 68. Europe Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 69. Europe Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 70. Europe Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 71. Germany Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 72. Germany Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 73. Germany Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 74. Germany Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 75. France Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 76. France Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 77. France Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 78. France Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 79. Italy Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 80. Italy Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 81. Italy Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 82. Italy Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 83. United Kingdom Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 84. United Kingdom Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 85. United Kingdom Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 86. United Kingdom Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 87. Netherlands Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 88. Netherlands Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 89. Netherlands Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 90. Netherlands Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 91. Rest of Europe Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 92. Rest of Europe Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 93. Rest of Europe Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 94. Rest of Europe Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 95. MEA Natural Language Understanding (NLU), by Country USD Million (2014-2019)
  • Table 96. MEA Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 97. MEA Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 98. MEA Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 99. MEA Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 100. Middle East Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 101. Middle East Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 102. Middle East Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 103. Middle East Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 104. Africa Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 105. Africa Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 106. Africa Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 107. Africa Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 108. North America Natural Language Understanding (NLU), by Country USD Million (2014-2019)
  • Table 109. North America Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 110. North America Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 111. North America Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 112. North America Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 113. United States Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 114. United States Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 115. United States Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 116. United States Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 117. Canada Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 118. Canada Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 119. Canada Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 120. Canada Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 121. Mexico Natural Language Understanding (NLU), by Type USD Million (2014-2019)
  • Table 122. Mexico Natural Language Understanding (NLU), by Application USD Million (2014-2019)
  • Table 123. Mexico Natural Language Understanding (NLU), by Components USD Million (2014-2019)
  • Table 124. Mexico Natural Language Understanding (NLU), by Organization Size USD Million (2014-2019)
  • Table 125. Company Basic Information, Sales Area and Its Competitors
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Natural Language Understanding (NLU): by Type(USD Million)
  • Table 134. Natural Language Understanding (NLU) Machine Translation , by Region USD Million (2020-2025)
  • Table 135. Natural Language Understanding (NLU) Voice-First Technologies , by Region USD Million (2020-2025)
  • Table 136. Natural Language Understanding (NLU) Chatbots , by Region USD Million (2020-2025)
  • Table 137. Natural Language Understanding (NLU) Conversational Search , by Region USD Million (2020-2025)
  • Table 138. Natural Language Understanding (NLU): by Application(USD Million)
  • Table 139. Natural Language Understanding (NLU) Manufacturing , by Region USD Million (2020-2025)
  • Table 140. Natural Language Understanding (NLU) Healthcare , by Region USD Million (2020-2025)
  • Table 141. Natural Language Understanding (NLU) Other , by Region USD Million (2020-2025)
  • Table 142. Natural Language Understanding (NLU): by Components(USD Million)
  • Table 143. Natural Language Understanding (NLU) Software , by Region USD Million (2020-2025)
  • Table 144. Natural Language Understanding (NLU) Service , by Region USD Million (2020-2025)
  • Table 145. Natural Language Understanding (NLU): by Organization Size(USD Million)
  • Table 146. Natural Language Understanding (NLU) Small and Medium Size Organizations , by Region USD Million (2020-2025)
  • Table 147. Natural Language Understanding (NLU) Large Size Organizations , by Region USD Million (2020-2025)
  • Table 148. South America Natural Language Understanding (NLU), by Country USD Million (2020-2025)
  • Table 149. South America Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 150. South America Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 151. South America Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 152. South America Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 153. Brazil Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 154. Brazil Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 155. Brazil Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 156. Brazil Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 157. Argentina Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 158. Argentina Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 159. Argentina Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 160. Argentina Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 161. Rest of South America Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 162. Rest of South America Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 163. Rest of South America Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 164. Rest of South America Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 165. Asia Pacific Natural Language Understanding (NLU), by Country USD Million (2020-2025)
  • Table 166. Asia Pacific Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 167. Asia Pacific Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 168. Asia Pacific Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 169. Asia Pacific Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 170. China Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 171. China Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 172. China Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 173. China Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 174. Japan Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 175. Japan Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 176. Japan Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 177. Japan Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 178. India Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 179. India Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 180. India Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 181. India Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 182. South Korea Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 183. South Korea Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 184. South Korea Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 185. South Korea Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 186. Taiwan Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 187. Taiwan Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 188. Taiwan Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 189. Taiwan Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 190. Australia Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 191. Australia Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 192. Australia Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 193. Australia Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 194. Rest of Asia-Pacific Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 195. Rest of Asia-Pacific Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 196. Rest of Asia-Pacific Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 197. Rest of Asia-Pacific Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 198. Europe Natural Language Understanding (NLU), by Country USD Million (2020-2025)
  • Table 199. Europe Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 200. Europe Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 201. Europe Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 202. Europe Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 203. Germany Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 204. Germany Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 205. Germany Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 206. Germany Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 207. France Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 208. France Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 209. France Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 210. France Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 211. Italy Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 212. Italy Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 213. Italy Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 214. Italy Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 215. United Kingdom Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 216. United Kingdom Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 217. United Kingdom Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 218. United Kingdom Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 219. Netherlands Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 220. Netherlands Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 221. Netherlands Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 222. Netherlands Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 223. Rest of Europe Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 224. Rest of Europe Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 225. Rest of Europe Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 226. Rest of Europe Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 227. MEA Natural Language Understanding (NLU), by Country USD Million (2020-2025)
  • Table 228. MEA Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 229. MEA Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 230. MEA Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 231. MEA Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 232. Middle East Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 233. Middle East Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 234. Middle East Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 235. Middle East Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 236. Africa Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 237. Africa Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 238. Africa Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 239. Africa Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 240. North America Natural Language Understanding (NLU), by Country USD Million (2020-2025)
  • Table 241. North America Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 242. North America Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 243. North America Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 244. North America Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 245. United States Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 246. United States Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 247. United States Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 248. United States Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 249. Canada Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 250. Canada Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 251. Canada Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 252. Canada Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 253. Mexico Natural Language Understanding (NLU), by Type USD Million (2020-2025)
  • Table 254. Mexico Natural Language Understanding (NLU), by Application USD Million (2020-2025)
  • Table 255. Mexico Natural Language Understanding (NLU), by Components USD Million (2020-2025)
  • Table 256. Mexico Natural Language Understanding (NLU), by Organization Size USD Million (2020-2025)
  • Table 257. Research Programs/Design for This Report
  • Table 258. Key Data Information from Secondary Sources
  • Table 259. 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 Understanding (NLU): by Type USD Million (2014-2019)
  • Figure 5. Global Natural Language Understanding (NLU): by Application USD Million (2014-2019)
  • Figure 6. Global Natural Language Understanding (NLU): by Components USD Million (2014-2019)
  • Figure 7. Global Natural Language Understanding (NLU): by Organization Size USD Million (2014-2019)
  • Figure 8. South America Natural Language Understanding (NLU) Share (%), by Country
  • Figure 9. Asia Pacific Natural Language Understanding (NLU) Share (%), by Country
  • Figure 10. Europe Natural Language Understanding (NLU) Share (%), by Country
  • Figure 11. MEA Natural Language Understanding (NLU) Share (%), by Country
  • Figure 12. North America Natural Language Understanding (NLU) Share (%), by Country
  • Figure 13. Global Natural Language Understanding (NLU) share by Players 2019 (%)
  • Figure 14. Global Natural Language Understanding (NLU) share by Players (Top 3) 2019(%)
  • Figure 15. Global Natural Language Understanding (NLU) share by Players (Top 5) 2019(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 18. IBM (United States) Revenue: by Geography 2019
  • Figure 19. A.S. Watson Group (Hong Kong) Revenue, Net Income and Gross profit
  • Figure 20. A.S. Watson Group (Hong Kong) Revenue: by Geography 2019
  • Figure 21. Nuance Communications (United States) Revenue, Net Income and Gross profit
  • Figure 22. Nuance Communications (United States) Revenue: by Geography 2019
  • Figure 23. Amazon Web Services (United States) Revenue, Net Income and Gross profit
  • Figure 24. Amazon Web Services (United States) Revenue: by Geography 2019
  • Figure 25. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 26. Microsoft Corporation (United States) Revenue: by Geography 2019
  • Figure 27. SAS Institute (United States) Revenue, Net Income and Gross profit
  • Figure 28. SAS Institute (United States) Revenue: by Geography 2019
  • Figure 29. Idiap Research Institute (United States) Revenue, Net Income and Gross profit
  • Figure 30. Idiap Research Institute (United States) Revenue: by Geography 2019
  • Figure 31. The Aspect NLU Lab (United States) Revenue, Net Income and Gross profit
  • Figure 32. The Aspect NLU Lab (United States) Revenue: by Geography 2019
  • Figure 33. Global Natural Language Understanding (NLU): by Type USD Million (2020-2025)
  • Figure 34. Global Natural Language Understanding (NLU): by Application USD Million (2020-2025)
  • Figure 35. Global Natural Language Understanding (NLU): by Components USD Million (2020-2025)
  • Figure 36. Global Natural Language Understanding (NLU): by Organization Size USD Million (2020-2025)
  • Figure 37. South America Natural Language Understanding (NLU) Share (%), by Country
  • Figure 38. Asia Pacific Natural Language Understanding (NLU) Share (%), by Country
  • Figure 39. Europe Natural Language Understanding (NLU) Share (%), by Country
  • Figure 40. MEA Natural Language Understanding (NLU) Share (%), by Country
  • Figure 41. North America Natural Language Understanding (NLU) Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • IBM (United States)
  • A.S. Watson Group (Hong Kong)
  • Nuance Communications (United States)
  • Amazon Web Services (United States)
  • Microsoft Corporation (United States)
  • SAS Institute (United States)
  • Idiap Research Institute (United States)
  • The Aspect NLU Lab (United States)
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