Global Natural Language Processing Software Market

Natural Language Processing Software Comprehensive Study by Application (Machine translation, Information extraction, Report generation, Question answering, Others), 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)), Deployment Model (Cloud-Based, On-Premises) Players and Region - Global Market Outlook to 2030

Natural Language Processing Software 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 Processing Software
Natural Language Processing Software helps to understand human language, process meaning, and generate responses, just like humans do. NLP software is capable of interpreting both written and spoken languages, making it useful for an extremely wide range of applications.NLP software excels as an automation solution, being able to analyze large quantities of data with high speed and accuracy. NLP software especially useful for home automation.

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


The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies. Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global Natural Language Processing Software 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), Microsoft (United States), Google (United States), Amazon Web Services, Inc. (United States), Facebook (United States), Intel Corporation (United States), MonkeyLearn Inc (United States), OpenAI (United States), Radim Rehurek (United Kingdom) and Inbenta Technologies Inc.(United State) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are Inbenta Technologies (Spain) and Veritone Inc. (United States).

Segmentation Overview
AMA Research has segmented the market of Global Natural Language Processing Software market by , Application (Machine translation, Information extraction, Report generation, Question answering and Others) and Region.



On the basis of geography, the market of Natural Language Processing Software 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 Industry Verticals, the sub-segment i.e. Banking, Financial Services and Insurance (BFSI) will boost the Natural Language Processing Software market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Deployment Model, the sub-segment i.e. Cloud-Based will boost the Natural Language Processing Software market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

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 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 modeling and a lot more.
In Aug 2020, OpenAI launched the third iteration of its natural language processing software called Generative Pretrained Transformer, GPT-3. It has a larger database than the previous iteration and offers more reliability and accuracy. GPT-3 is like any artificial intelligence program, just with a more extensive database.


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

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have 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 Application
  • Machine translation
  • Information extraction
  • Report generation
  • Question answering
  • Others
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 Deployment Model
  • Cloud-Based
  • On-Premises

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
  • 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 Software, by Application, Industry Verticals, Deployment Model and Region (value) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global Natural Language Processing Software (Value)
      • 5.2.1. Global Natural Language Processing Software by: Application (Value)
        • 5.2.1.1. Machine translation
        • 5.2.1.2. Information extraction
        • 5.2.1.3. Report generation
        • 5.2.1.4. Question answering
        • 5.2.1.5. Others
      • 5.2.2. Global Natural Language Processing Software by: Industry Verticals (Value)
        • 5.2.2.1. Banking, Financial Services and Insurance (BFSI)
        • 5.2.2.2. Manufacturing
        • 5.2.2.3. Healthcare and Life Sciences
        • 5.2.2.4. Retail and eCommerce
        • 5.2.2.5. Government and Defense
        • 5.2.2.6. Media and Entertainment
        • 5.2.2.7. Telecommunications and IT
        • 5.2.2.8. Travel and Hospitality
        • 5.2.2.9. Others (Research and Education, and Energy and Utilities)
      • 5.2.3. Global Natural Language Processing Software by: Deployment Model (Value)
        • 5.2.3.1. Cloud-Based
        • 5.2.3.2. On-Premises
      • 5.2.4. Global Natural Language Processing Software Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
  • 6. Natural Language Processing Software: 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. 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. Intel Corporation (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. MonkeyLearn Inc (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. OpenAI (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. Radim Rehurek (United Kingdom)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Inbenta Technologies Inc.(United State)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Natural Language Processing Software Sale, by Application, Industry Verticals, Deployment Model and Region (value) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global Natural Language Processing Software (Value)
      • 7.2.1. Global Natural Language Processing Software by: Application (Value)
        • 7.2.1.1. Machine translation
        • 7.2.1.2. Information extraction
        • 7.2.1.3. Report generation
        • 7.2.1.4. Question answering
        • 7.2.1.5. Others
      • 7.2.2. Global Natural Language Processing Software by: Industry Verticals (Value)
        • 7.2.2.1. Banking, Financial Services and Insurance (BFSI)
        • 7.2.2.2. Manufacturing
        • 7.2.2.3. Healthcare and Life Sciences
        • 7.2.2.4. Retail and eCommerce
        • 7.2.2.5. Government and Defense
        • 7.2.2.6. Media and Entertainment
        • 7.2.2.7. Telecommunications and IT
        • 7.2.2.8. Travel and Hospitality
        • 7.2.2.9. Others (Research and Education, and Energy and Utilities)
      • 7.2.3. Global Natural Language Processing Software by: Deployment Model (Value)
        • 7.2.3.1. Cloud-Based
        • 7.2.3.2. On-Premises
      • 7.2.4. Global Natural Language Processing Software Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. 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 Software: by Application(USD Million)
  • Table 2. Natural Language Processing Software Machine translation , by Region USD Million (2018-2023)
  • Table 3. Natural Language Processing Software Information extraction , by Region USD Million (2018-2023)
  • Table 4. Natural Language Processing Software Report generation , by Region USD Million (2018-2023)
  • Table 5. Natural Language Processing Software Question answering , by Region USD Million (2018-2023)
  • Table 6. Natural Language Processing Software Others , by Region USD Million (2018-2023)
  • Table 7. Natural Language Processing Software: by Industry Verticals(USD Million)
  • Table 8. Natural Language Processing Software Banking, Financial Services and Insurance (BFSI) , by Region USD Million (2018-2023)
  • Table 9. Natural Language Processing Software Manufacturing , by Region USD Million (2018-2023)
  • Table 10. Natural Language Processing Software Healthcare and Life Sciences , by Region USD Million (2018-2023)
  • Table 11. Natural Language Processing Software Retail and eCommerce , by Region USD Million (2018-2023)
  • Table 12. Natural Language Processing Software Government and Defense , by Region USD Million (2018-2023)
  • Table 13. Natural Language Processing Software Media and Entertainment , by Region USD Million (2018-2023)
  • Table 14. Natural Language Processing Software Telecommunications and IT , by Region USD Million (2018-2023)
  • Table 15. Natural Language Processing Software Travel and Hospitality , by Region USD Million (2018-2023)
  • Table 16. Natural Language Processing Software Others (Research and Education, and Energy and Utilities) , by Region USD Million (2018-2023)
  • Table 17. Natural Language Processing Software: by Deployment Model(USD Million)
  • Table 18. Natural Language Processing Software Cloud-Based , by Region USD Million (2018-2023)
  • Table 19. Natural Language Processing Software On-Premises , by Region USD Million (2018-2023)
  • Table 20. South America Natural Language Processing Software, by Country USD Million (2018-2023)
  • Table 21. South America Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 22. South America Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 23. South America Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 24. Brazil Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 25. Brazil Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 26. Brazil Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 27. Argentina Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 28. Argentina Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 29. Argentina Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 30. Rest of South America Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 31. Rest of South America Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 32. Rest of South America Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 33. Asia Pacific Natural Language Processing Software, by Country USD Million (2018-2023)
  • Table 34. Asia Pacific Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 35. Asia Pacific Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 36. Asia Pacific Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 37. China Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 38. China Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 39. China Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 40. Japan Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 41. Japan Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 42. Japan Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 43. India Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 44. India Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 45. India Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 46. South Korea Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 47. South Korea Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 48. South Korea Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 49. Taiwan Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 50. Taiwan Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 51. Taiwan Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 52. Australia Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 53. Australia Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 54. Australia Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 55. Rest of Asia-Pacific Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 56. Rest of Asia-Pacific Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 57. Rest of Asia-Pacific Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 58. Europe Natural Language Processing Software, by Country USD Million (2018-2023)
  • Table 59. Europe Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 60. Europe Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 61. Europe Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 62. Germany Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 63. Germany Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 64. Germany Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 65. France Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 66. France Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 67. France Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 68. Italy Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 69. Italy Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 70. Italy Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 71. United Kingdom Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 72. United Kingdom Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 73. United Kingdom Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 74. Netherlands Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 75. Netherlands Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 76. Netherlands Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 77. Rest of Europe Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 78. Rest of Europe Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 79. Rest of Europe Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 80. MEA Natural Language Processing Software, by Country USD Million (2018-2023)
  • Table 81. MEA Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 82. MEA Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 83. MEA Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 84. Middle East Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 85. Middle East Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 86. Middle East Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 87. Africa Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 88. Africa Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 89. Africa Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 90. North America Natural Language Processing Software, by Country USD Million (2018-2023)
  • Table 91. North America Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 92. North America Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 93. North America Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 94. United States Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 95. United States Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 96. United States Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 97. Canada Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 98. Canada Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 99. Canada Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 100. Mexico Natural Language Processing Software, by Application USD Million (2018-2023)
  • Table 101. Mexico Natural Language Processing Software, by Industry Verticals USD Million (2018-2023)
  • Table 102. Mexico Natural Language Processing Software, by Deployment Model USD Million (2018-2023)
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. Company Basic Information, Sales Area and Its Competitors
  • Table 110. Company Basic Information, Sales Area and Its Competitors
  • Table 111. Company Basic Information, Sales Area and Its Competitors
  • Table 112. Company Basic Information, Sales Area and Its Competitors
  • Table 113. Natural Language Processing Software: by Application(USD Million)
  • Table 114. Natural Language Processing Software Machine translation , by Region USD Million (2025-2030)
  • Table 115. Natural Language Processing Software Information extraction , by Region USD Million (2025-2030)
  • Table 116. Natural Language Processing Software Report generation , by Region USD Million (2025-2030)
  • Table 117. Natural Language Processing Software Question answering , by Region USD Million (2025-2030)
  • Table 118. Natural Language Processing Software Others , by Region USD Million (2025-2030)
  • Table 119. Natural Language Processing Software: by Industry Verticals(USD Million)
  • Table 120. Natural Language Processing Software Banking, Financial Services and Insurance (BFSI) , by Region USD Million (2025-2030)
  • Table 121. Natural Language Processing Software Manufacturing , by Region USD Million (2025-2030)
  • Table 122. Natural Language Processing Software Healthcare and Life Sciences , by Region USD Million (2025-2030)
  • Table 123. Natural Language Processing Software Retail and eCommerce , by Region USD Million (2025-2030)
  • Table 124. Natural Language Processing Software Government and Defense , by Region USD Million (2025-2030)
  • Table 125. Natural Language Processing Software Media and Entertainment , by Region USD Million (2025-2030)
  • Table 126. Natural Language Processing Software Telecommunications and IT , by Region USD Million (2025-2030)
  • Table 127. Natural Language Processing Software Travel and Hospitality , by Region USD Million (2025-2030)
  • Table 128. Natural Language Processing Software Others (Research and Education, and Energy and Utilities) , by Region USD Million (2025-2030)
  • Table 129. Natural Language Processing Software: by Deployment Model(USD Million)
  • Table 130. Natural Language Processing Software Cloud-Based , by Region USD Million (2025-2030)
  • Table 131. Natural Language Processing Software On-Premises , by Region USD Million (2025-2030)
  • Table 132. South America Natural Language Processing Software, by Country USD Million (2025-2030)
  • Table 133. South America Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 134. South America Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 135. South America Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 136. Brazil Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 137. Brazil Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 138. Brazil Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 139. Argentina Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 140. Argentina Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 141. Argentina Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 142. Rest of South America Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 143. Rest of South America Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 144. Rest of South America Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 145. Asia Pacific Natural Language Processing Software, by Country USD Million (2025-2030)
  • Table 146. Asia Pacific Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 147. Asia Pacific Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 148. Asia Pacific Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 149. China Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 150. China Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 151. China Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 152. Japan Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 153. Japan Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 154. Japan Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 155. India Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 156. India Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 157. India Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 158. South Korea Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 159. South Korea Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 160. South Korea Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 161. Taiwan Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 162. Taiwan Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 163. Taiwan Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 164. Australia Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 165. Australia Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 166. Australia Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 167. Rest of Asia-Pacific Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 168. Rest of Asia-Pacific Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 169. Rest of Asia-Pacific Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 170. Europe Natural Language Processing Software, by Country USD Million (2025-2030)
  • Table 171. Europe Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 172. Europe Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 173. Europe Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 174. Germany Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 175. Germany Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 176. Germany Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 177. France Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 178. France Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 179. France Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 180. Italy Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 181. Italy Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 182. Italy Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 183. United Kingdom Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 184. United Kingdom Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 185. United Kingdom Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 186. Netherlands Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 187. Netherlands Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 188. Netherlands Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 189. Rest of Europe Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 190. Rest of Europe Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 191. Rest of Europe Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 192. MEA Natural Language Processing Software, by Country USD Million (2025-2030)
  • Table 193. MEA Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 194. MEA Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 195. MEA Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 196. Middle East Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 197. Middle East Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 198. Middle East Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 199. Africa Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 200. Africa Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 201. Africa Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 202. North America Natural Language Processing Software, by Country USD Million (2025-2030)
  • Table 203. North America Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 204. North America Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 205. North America Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 206. United States Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 207. United States Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 208. United States Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 209. Canada Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 210. Canada Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 211. Canada Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 212. Mexico Natural Language Processing Software, by Application USD Million (2025-2030)
  • Table 213. Mexico Natural Language Processing Software, by Industry Verticals USD Million (2025-2030)
  • Table 214. Mexico Natural Language Processing Software, by Deployment Model USD Million (2025-2030)
  • Table 215. Research Programs/Design for This Report
  • Table 216. Key Data Information from Secondary Sources
  • Table 217. 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 Software: by Application USD Million (2018-2023)
  • Figure 5. Global Natural Language Processing Software: by Industry Verticals USD Million (2018-2023)
  • Figure 6. Global Natural Language Processing Software: by Deployment Model USD Million (2018-2023)
  • Figure 7. South America Natural Language Processing Software Share (%), by Country
  • Figure 8. Asia Pacific Natural Language Processing Software Share (%), by Country
  • Figure 9. Europe Natural Language Processing Software Share (%), by Country
  • Figure 10. MEA Natural Language Processing Software Share (%), by Country
  • Figure 11. North America Natural Language Processing Software Share (%), by Country
  • Figure 12. Global Natural Language Processing Software share by Players 2023 (%)
  • Figure 13. Global Natural Language Processing Software share by Players (Top 3) 2023(%)
  • Figure 14. Global Natural Language Processing Software share by Players (Top 5) 2023(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 17. IBM (United States) Revenue: by Geography 2023
  • Figure 18. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 19. Microsoft (United States) Revenue: by Geography 2023
  • Figure 20. Google (United States) Revenue, Net Income and Gross profit
  • Figure 21. Google (United States) Revenue: by Geography 2023
  • Figure 22. Amazon Web Services, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 23. Amazon Web Services, Inc. (United States) Revenue: by Geography 2023
  • Figure 24. Facebook (United States) Revenue, Net Income and Gross profit
  • Figure 25. Facebook (United States) Revenue: by Geography 2023
  • Figure 26. Intel Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 27. Intel Corporation (United States) Revenue: by Geography 2023
  • Figure 28. MonkeyLearn Inc (United States) Revenue, Net Income and Gross profit
  • Figure 29. MonkeyLearn Inc (United States) Revenue: by Geography 2023
  • Figure 30. OpenAI (United States) Revenue, Net Income and Gross profit
  • Figure 31. OpenAI (United States) Revenue: by Geography 2023
  • Figure 32. Radim Rehurek (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 33. Radim Rehurek (United Kingdom) Revenue: by Geography 2023
  • Figure 34. Inbenta Technologies Inc.(United State) Revenue, Net Income and Gross profit
  • Figure 35. Inbenta Technologies Inc.(United State) Revenue: by Geography 2023
  • Figure 36. Global Natural Language Processing Software: by Application USD Million (2025-2030)
  • Figure 37. Global Natural Language Processing Software: by Industry Verticals USD Million (2025-2030)
  • Figure 38. Global Natural Language Processing Software: by Deployment Model USD Million (2025-2030)
  • Figure 39. South America Natural Language Processing Software Share (%), by Country
  • Figure 40. Asia Pacific Natural Language Processing Software Share (%), by Country
  • Figure 41. Europe Natural Language Processing Software Share (%), by Country
  • Figure 42. MEA Natural Language Processing Software Share (%), by Country
  • Figure 43. North America Natural Language Processing Software 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)
  • Intel Corporation (United States)
  • MonkeyLearn Inc (United States)
  • OpenAI (United States)
  • Radim Rehurek (United Kingdom)
  • Inbenta Technologies Inc.(United State)
Additional players considered in the study are as follows:
Inbenta Technologies (Spain) , Veritone Inc. (United States)
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Key Highlights of Report


Apr 2024 205 Pages 79 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Global Natural Language Processing Software Market Quantitative research analysis
Global Natural Language Processing Software 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), Microsoft (United States), Google (United States), Amazon Web Services, Inc. (United States), Facebook (United States), Intel Corporation (United States), MonkeyLearn Inc (United States), OpenAI (United States), Radim Rehurek (United Kingdom) and Inbenta Technologies Inc.(United State) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"" is seen as one of major influencing trends for Natural Language Processing Software Market during projected period 2023-2030.
The Natural Language Processing Software 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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