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 2030

Natural Language Understanding (NLU) Market by XX Submarkets | Forecast Years 2024-2030  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Natural Language Understanding (NLU)
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.

AttributesDetails
Study Period2018-2030
Base Year2023
UnitValue (USD Million)


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. Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global Natural Language Understanding (NLU) market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

IBM (United States), 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 that are part of study coverage.

Segmentation Overview
AMA Research has segmented the market of Global Natural Language Understanding (NLU) market by Type (Machine Translation, Voice-First Technologies, Chatbots and Conversational Search), Application (Manufacturing, Healthcare and Other) 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). If we see Market by , the sub-segment i.e. will boost the Natural Language Understanding (NLU) market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
The Emergence of Several New Application Areas, The Increasing Use of Voice Recognition in Several Industries and The Rising Spending Capabilities of the People

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

Challenges:
The Need for Effective Predictive Technologies and Fluctuating Customer Adoption Trends

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

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




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

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

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

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

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 and price ) (2018-2023)
    • 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
    • 5.3. Global Natural Language Understanding (NLU) (Price)
      • 5.3.1. Global Natural Language Understanding (NLU) by: Type (Price)
  • 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 (2023)
    • 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 and price ) (2025-2030)
    • 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
    • 7.3. Global Natural Language Understanding (NLU) (Price)
      • 7.3.1. Global Natural Language Understanding (NLU) by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Natural Language Understanding (NLU): by Type(USD Million)
  • Table 2. Natural Language Understanding (NLU) Machine Translation , by Region USD Million (2018-2023)
  • Table 3. Natural Language Understanding (NLU) Voice-First Technologies , by Region USD Million (2018-2023)
  • Table 4. Natural Language Understanding (NLU) Chatbots , by Region USD Million (2018-2023)
  • Table 5. Natural Language Understanding (NLU) Conversational Search , by Region USD Million (2018-2023)
  • Table 6. Natural Language Understanding (NLU): by Application(USD Million)
  • Table 7. Natural Language Understanding (NLU) Manufacturing , by Region USD Million (2018-2023)
  • Table 8. Natural Language Understanding (NLU) Healthcare , by Region USD Million (2018-2023)
  • Table 9. Natural Language Understanding (NLU) Other , by Region USD Million (2018-2023)
  • Table 10. Natural Language Understanding (NLU): by Components(USD Million)
  • Table 11. Natural Language Understanding (NLU) Software , by Region USD Million (2018-2023)
  • Table 12. Natural Language Understanding (NLU) Service , by Region USD Million (2018-2023)
  • 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 (2018-2023)
  • Table 15. Natural Language Understanding (NLU) Large Size Organizations , by Region USD Million (2018-2023)
  • Table 16. South America Natural Language Understanding (NLU), by Country USD Million (2018-2023)
  • Table 17. South America Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 18. South America Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 19. South America Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 20. South America Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 21. Brazil Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 22. Brazil Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 23. Brazil Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 24. Brazil Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 25. Argentina Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 26. Argentina Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 27. Argentina Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 28. Argentina Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 29. Rest of South America Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 30. Rest of South America Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 31. Rest of South America Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 32. Rest of South America Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 33. Asia Pacific Natural Language Understanding (NLU), by Country USD Million (2018-2023)
  • Table 34. Asia Pacific Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 35. Asia Pacific Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 36. Asia Pacific Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 37. Asia Pacific Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 38. China Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 39. China Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 40. China Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 41. China Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 42. Japan Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 43. Japan Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 44. Japan Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 45. Japan Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 46. India Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 47. India Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 48. India Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 49. India Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 50. South Korea Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 51. South Korea Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 52. South Korea Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 53. South Korea Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 54. Taiwan Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 55. Taiwan Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 56. Taiwan Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 57. Taiwan Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 58. Australia Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 59. Australia Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 60. Australia Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 61. Australia Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 62. Rest of Asia-Pacific Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 63. Rest of Asia-Pacific Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 64. Rest of Asia-Pacific Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 65. Rest of Asia-Pacific Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 66. Europe Natural Language Understanding (NLU), by Country USD Million (2018-2023)
  • Table 67. Europe Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 68. Europe Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 69. Europe Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 70. Europe Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 71. Germany Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 72. Germany Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 73. Germany Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 74. Germany Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 75. France Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 76. France Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 77. France Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 78. France Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 79. Italy Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 80. Italy Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 81. Italy Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 82. Italy Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 83. United Kingdom Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 84. United Kingdom Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 85. United Kingdom Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 86. United Kingdom Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 87. Netherlands Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 88. Netherlands Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 89. Netherlands Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 90. Netherlands Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 91. Rest of Europe Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 92. Rest of Europe Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 93. Rest of Europe Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 94. Rest of Europe Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 95. MEA Natural Language Understanding (NLU), by Country USD Million (2018-2023)
  • Table 96. MEA Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 97. MEA Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 98. MEA Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 99. MEA Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 100. Middle East Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 101. Middle East Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 102. Middle East Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 103. Middle East Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 104. Africa Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 105. Africa Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 106. Africa Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 107. Africa Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 108. North America Natural Language Understanding (NLU), by Country USD Million (2018-2023)
  • Table 109. North America Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 110. North America Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 111. North America Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 112. North America Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 113. United States Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 114. United States Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 115. United States Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 116. United States Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 117. Canada Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 118. Canada Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 119. Canada Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 120. Canada Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 121. Mexico Natural Language Understanding (NLU), by Type USD Million (2018-2023)
  • Table 122. Mexico Natural Language Understanding (NLU), by Application USD Million (2018-2023)
  • Table 123. Mexico Natural Language Understanding (NLU), by Components USD Million (2018-2023)
  • Table 124. Mexico Natural Language Understanding (NLU), by Organization Size USD Million (2018-2023)
  • Table 125. Natural Language Understanding (NLU): by Type(USD/Units)
  • 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. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Natural Language Understanding (NLU): by Type(USD Million)
  • Table 135. Natural Language Understanding (NLU) Machine Translation , by Region USD Million (2025-2030)
  • Table 136. Natural Language Understanding (NLU) Voice-First Technologies , by Region USD Million (2025-2030)
  • Table 137. Natural Language Understanding (NLU) Chatbots , by Region USD Million (2025-2030)
  • Table 138. Natural Language Understanding (NLU) Conversational Search , by Region USD Million (2025-2030)
  • Table 139. Natural Language Understanding (NLU): by Application(USD Million)
  • Table 140. Natural Language Understanding (NLU) Manufacturing , by Region USD Million (2025-2030)
  • Table 141. Natural Language Understanding (NLU) Healthcare , by Region USD Million (2025-2030)
  • Table 142. Natural Language Understanding (NLU) Other , by Region USD Million (2025-2030)
  • Table 143. Natural Language Understanding (NLU): by Components(USD Million)
  • Table 144. Natural Language Understanding (NLU) Software , by Region USD Million (2025-2030)
  • Table 145. Natural Language Understanding (NLU) Service , by Region USD Million (2025-2030)
  • Table 146. Natural Language Understanding (NLU): by Organization Size(USD Million)
  • Table 147. Natural Language Understanding (NLU) Small and Medium Size Organizations , by Region USD Million (2025-2030)
  • Table 148. Natural Language Understanding (NLU) Large Size Organizations , by Region USD Million (2025-2030)
  • Table 149. South America Natural Language Understanding (NLU), by Country USD Million (2025-2030)
  • Table 150. South America Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 151. South America Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 152. South America Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 153. South America Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 154. Brazil Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 155. Brazil Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 156. Brazil Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 157. Brazil Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 158. Argentina Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 159. Argentina Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 160. Argentina Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 161. Argentina Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 162. Rest of South America Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 163. Rest of South America Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 164. Rest of South America Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 165. Rest of South America Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 166. Asia Pacific Natural Language Understanding (NLU), by Country USD Million (2025-2030)
  • Table 167. Asia Pacific Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 168. Asia Pacific Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 169. Asia Pacific Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 170. Asia Pacific Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 171. China Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 172. China Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 173. China Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 174. China Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 175. Japan Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 176. Japan Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 177. Japan Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 178. Japan Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 179. India Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 180. India Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 181. India Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 182. India Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 183. South Korea Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 184. South Korea Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 185. South Korea Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 186. South Korea Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 187. Taiwan Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 188. Taiwan Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 189. Taiwan Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 190. Taiwan Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 191. Australia Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 192. Australia Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 193. Australia Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 194. Australia Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 195. Rest of Asia-Pacific Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 196. Rest of Asia-Pacific Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 197. Rest of Asia-Pacific Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 198. Rest of Asia-Pacific Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 199. Europe Natural Language Understanding (NLU), by Country USD Million (2025-2030)
  • Table 200. Europe Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 201. Europe Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 202. Europe Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 203. Europe Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 204. Germany Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 205. Germany Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 206. Germany Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 207. Germany Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 208. France Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 209. France Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 210. France Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 211. France Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 212. Italy Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 213. Italy Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 214. Italy Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 215. Italy Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 216. United Kingdom Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 217. United Kingdom Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 218. United Kingdom Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 219. United Kingdom Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 220. Netherlands Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 221. Netherlands Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 222. Netherlands Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 223. Netherlands Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 224. Rest of Europe Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 225. Rest of Europe Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 226. Rest of Europe Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 227. Rest of Europe Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 228. MEA Natural Language Understanding (NLU), by Country USD Million (2025-2030)
  • Table 229. MEA Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 230. MEA Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 231. MEA Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 232. MEA Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 233. Middle East Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 234. Middle East Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 235. Middle East Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 236. Middle East Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 237. Africa Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 238. Africa Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 239. Africa Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 240. Africa Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 241. North America Natural Language Understanding (NLU), by Country USD Million (2025-2030)
  • Table 242. North America Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 243. North America Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 244. North America Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 245. North America Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 246. United States Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 247. United States Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 248. United States Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 249. United States Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 250. Canada Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 251. Canada Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 252. Canada Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 253. Canada Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 254. Mexico Natural Language Understanding (NLU), by Type USD Million (2025-2030)
  • Table 255. Mexico Natural Language Understanding (NLU), by Application USD Million (2025-2030)
  • Table 256. Mexico Natural Language Understanding (NLU), by Components USD Million (2025-2030)
  • Table 257. Mexico Natural Language Understanding (NLU), by Organization Size USD Million (2025-2030)
  • Table 258. Natural Language Understanding (NLU): by Type(USD/Units)
  • Table 259. Research Programs/Design for This Report
  • Table 260. Key Data Information from Secondary Sources
  • Table 261. 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 (2018-2023)
  • Figure 5. Global Natural Language Understanding (NLU): by Application USD Million (2018-2023)
  • Figure 6. Global Natural Language Understanding (NLU): by Components USD Million (2018-2023)
  • Figure 7. Global Natural Language Understanding (NLU): by Organization Size USD Million (2018-2023)
  • 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): by Type USD/Units (2018-2023)
  • Figure 14. Global Natural Language Understanding (NLU) share by Players 2023 (%)
  • Figure 15. Global Natural Language Understanding (NLU) share by Players (Top 3) 2023(%)
  • Figure 16. Global Natural Language Understanding (NLU) share by Players (Top 5) 2023(%)
  • 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 2023
  • Figure 20. A.S. Watson Group (Hong Kong) Revenue, Net Income and Gross profit
  • Figure 21. A.S. Watson Group (Hong Kong) Revenue: by Geography 2023
  • Figure 22. Nuance Communications (United States) Revenue, Net Income and Gross profit
  • Figure 23. Nuance Communications (United States) Revenue: by Geography 2023
  • Figure 24. Amazon Web Services (United States) Revenue, Net Income and Gross profit
  • Figure 25. Amazon Web Services (United States) Revenue: by Geography 2023
  • Figure 26. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 27. Microsoft Corporation (United States) Revenue: by Geography 2023
  • Figure 28. SAS Institute (United States) Revenue, Net Income and Gross profit
  • Figure 29. SAS Institute (United States) Revenue: by Geography 2023
  • Figure 30. Idiap Research Institute (United States) Revenue, Net Income and Gross profit
  • Figure 31. Idiap Research Institute (United States) Revenue: by Geography 2023
  • Figure 32. The Aspect NLU Lab (United States) Revenue, Net Income and Gross profit
  • Figure 33. The Aspect NLU Lab (United States) Revenue: by Geography 2023
  • Figure 34. Global Natural Language Understanding (NLU): by Type USD Million (2025-2030)
  • Figure 35. Global Natural Language Understanding (NLU): by Application USD Million (2025-2030)
  • Figure 36. Global Natural Language Understanding (NLU): by Components USD Million (2025-2030)
  • Figure 37. Global Natural Language Understanding (NLU): by Organization Size USD Million (2025-2030)
  • Figure 38. South America Natural Language Understanding (NLU) Share (%), by Country
  • Figure 39. Asia Pacific Natural Language Understanding (NLU) Share (%), by Country
  • Figure 40. Europe Natural Language Understanding (NLU) Share (%), by Country
  • Figure 41. MEA Natural Language Understanding (NLU) Share (%), by Country
  • Figure 42. North America Natural Language Understanding (NLU) Share (%), by Country
  • Figure 43. Global Natural Language Understanding (NLU): by Type USD/Units (2025-2030)
List of companies from research coverage that are profiled in the study
  • 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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Key Highlights of Report


Apr 2024 212 Pages 61 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Global Natural Language Understanding (NLU) Market Quantitative research analysis
Global Natural Language Understanding (NLU) Market Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as 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) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"The Emergence of Several New Application Areas " is seen as one of major influencing trends for Natural Language Understanding (NLU) Market during projected period 2023-2030.
The Natural Language Understanding (NLU) market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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