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    US Natural Language Processing Market

    ID: MRFR/ICT/16449-HCR
    100 Pages
    Garvit Vyas
    September 2025

    US Natural Language Processing Market Research Report: By Technology (Auto-coding, Text analytics, Pattern & Image recognition, Speech analytics), By Type (Rule-based, Statistical, Hybrid), By Deployment (On-Cloud, On-Premise), By Service (Integration, Consulting & maintenance) and By Vertical (Healthcare, Retail Sector, Media & Entertainment) - Forecast to 2035

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    US Natural Language Processing Market Research Report - Forecast till 2035 Infographic
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    Table of Contents

    US Natural Language Processing Market Summary

    The US Natural Language Processing market is projected to grow from 26.1 USD Billion in 2024 to 307.4 USD Billion by 2035, reflecting a robust CAGR of 25.15%.

    Key Market Trends & Highlights

    US Natural Language Processing Key Trends and Highlights

    • The market valuation is expected to reach 26.1 USD Billion in 2024.
    • By 2035, the market is anticipated to expand to 307.4 USD Billion.
    • The compound annual growth rate from 2025 to 2035 is estimated at 25.15%.
    • Growing adoption of artificial intelligence technologies due to increased demand for automation is a major market driver.

    Market Size & Forecast

    2024 Market Size 26.1 (USD Billion)
    2035 Market Size 307.4 (USD Billion)
    CAGR (2025-2035) 25.15%

    Major Players

    SAP, OpenAI, Apple, Hugging Face, Zoho, Facebook, Alibaba, Cerence, IBM, Twilio, Microsoft, Google, Salesforce, NVIDIA, Amazon

    US Natural Language Processing Market Trends

    The US Natural Language Processing market is experiencing significant growth driven by various factors. One of the key market drivers is the increasing demand for voice-activated devices and virtual assistants in everyday life. With the rise of smartphones and smart speakers, companies are investing heavily in natural language processing technologies to improve user experiences and interaction efficiency. Additionally, the adoption of chatbots and automation in customer service sectors is enhancing communication processes, which is crucial for businesses aiming to streamline operations and improve customer satisfaction.

    Opportunities to be explored include the integration of NLP technologies into healthcare applications for better patient interaction and medical data analysis, as the US healthcare sector continuously seeks ways to enhance patient care and optimize workflows.The expanding use of sentiment analysis is also presenting new avenues for businesses to understand customer opinions and market trends, allowing them to adjust strategies in real-time. Trends in recent times are leaning towards a focus on ethics and bias reduction in NLP algorithms, as the US government and industry leaders emphasize the importance of fair AI practices.

    Efforts towards regulations and guidelines for responsible AI development are gaining momentum, reflecting a societal push for accountability in AI-driven decisions. Furthermore, advancements in large language models and transformer architectures are shaping new functionalities, enabling more nuanced and sophisticated understandings of human language, thus enhancing applications across various domains, including finance, marketing, and education in the US.

    Source: Primary Research, Secondary Research, Market Research Future Database and Analyst Review

    US Natural Language Processing Market Drivers

    Market Segment Insights

    Get more detailed insights about US Natural Language Processing Market Research Report - Forecast till 2035

    Regional Insights

    Key Players and Competitive Insights

    The competitive insights into the US Natural Language Processing Market reveal a dynamic landscape characterized by rapid technological advancements and increasing demand for intelligent solutions that enhance human-computer interactions. The market is driven by innovations in machine learning, deep learning, and artificial intelligence, enabling organizations to leverage vast data sets for improved decision-making and operational efficiencies.

    As businesses across various sectors recognize the value of natural language processing to automate processes, improve customer experiences, and derive insights from unstructured data, the competition among key players intensifies, leading to strategic partnerships, acquisitions, and heightened research and development efforts.SAP is recognized as a significant player in the US Natural Language Processing Market, leveraging its extensive experience in enterprise software solutions to introduce NLP capabilities that streamline business operations and enhance user interactions. The company's strengths lie in its robust data management solutions and integration capabilities that position its NLP offerings as essential tools for large enterprises.

    SAP has focused on enabling organizations to harness natural language understanding for customer relationship management, allowing for more intuitive data queries and improved analytics. Moreover, the company's longstanding reputation and established customer base provide it with a competitive edge, as clients seek reliable solutions from trusted providers, ensuring a strong market presence in the NLP space.OpenAI stands as a prominent entity in the US Natural Language Processing Market, renowned for its groundbreaking AI research and technologies. Its key products, including advanced language models and conversational agents, have revolutionized the understanding and generation of human language.

    OpenAI's commitment to continuous innovation is evident in its proactive approach to developing large-scale models that can engage in natural dialogue, drawing interest from various sectors seeking to implement AI-driven solutions. The company's presence has been further bolstered by strategic partnerships and collaborations with leading organizations to integrate its technologies into existing systems. OpenAI's strengths are underscored by the scalability of its solutions and its dedication to ethical AI development, positioning it favorably within a competitive landscape rich with opportunity.

    As the market for natural language processing continues to grow, OpenAI remains at the forefront, actively expanding its customer base and enhancing its offerings through ongoing research and development initiatives.

    Key Companies in the US Natural Language Processing Market market include

    Industry Developments

    Market Segmentation

    Outlook

    • Healthcare
    • Retail Sector
    • Media & Entertainment

    Natural Language Processing Market Type Outlook

    • Rule-based
    • Statistical
    • Hybrid

    Natural Language Processing Market Service Outlook

    Natural Language Processing Market Vertical Outlook

    • Healthcare
    • Retail Sector
    • Media & Entertainment

    Natural Language Processing Market Deployment Outlook

    • On-Cloud
    • On-Premise

    Natural Language Processing Market Technology Outlook

    • Auto-coding
    • Text analytics
    • Pattern & Image recognition
    • Speech analytics

    Report Scope

    Report Attribute/Metric Source: Details
    MARKET SIZE 2018 21.13(USD Billion)
    MARKET SIZE 2024 26.06(USD Billion)
    MARKET SIZE 2035 307.43(USD Billion)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 25.151% (2025 - 2035)
    REPORT COVERAGE Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    BASE YEAR 2024
    MARKET FORECAST PERIOD 2025 - 2035
    HISTORICAL DATA 2019 - 2024
    MARKET FORECAST UNITS USD Billion
    KEY COMPANIES PROFILED SAP, OpenAI, Apple, Hugging Face, Zoho, Facebook, Alibaba, Cerence, IBM, Twilio, Microsoft, Google, Salesforce, NVIDIA, Amazon
    SEGMENTS COVERED Technology, Type, Deployment, Service, Vertical
    KEY MARKET OPPORTUNITIES Enhanced customer support automation, Sentiment analysis for brands, Advanced healthcare data processing, Multi-language translation services, AI-driven content generation
    KEY MARKET DYNAMICS Growing demand for automation, Advances in AI technology, Increasing data generation, Rising use in customer service, Enhanced language understanding capabilities
    COUNTRIES COVERED US

    Market Highlights

    Author
    Garvit Vyas
    Analyst

    Explore the profile of Garvit Vyas, one of our esteemed authors at Market Research Future, and access their expert research contributions in the field of market research and industry analysis

    Leave a Comment

    FAQs

    What is the projected market size of the US Natural Language Processing Market in 2024?

    The US Natural Language Processing Market is expected to be valued at 26.06 USD Billion in 2024.

    What is the expected market value of the US Natural Language Processing Market by 2035?

    By 2035, the US Natural Language Processing Market is projected to reach a value of 307.43 USD Billion.

    What is the expected CAGR for the US Natural Language Processing Market from 2025 to 2035?

    The expected CAGR for the US Natural Language Processing Market from 2025 to 2035 is 25.151 %.

    What are the key technologies contributing to the US Natural Language Processing Market growth?

    Key technologies include Auto-coding, Text analytics, Pattern & Image recognition, and Speech analytics.

    What is the market value of Auto-coding in the US Natural Language Processing Market in 2024?

    In 2024, the market value of Auto-coding is anticipated to be 5.0 USD Billion.

    How much is the Text analytics segment projected to be worth in 2035?

    The Text analytics segment is projected to reach 100.0 USD Billion by 2035.

    Which companies are major players in the US Natural Language Processing Market?

    Major players in the market include SAP, OpenAI, Apple, Hugging Face, and Microsoft.

    What is the market size for Speech analytics in 2024?

    The Speech analytics segment is expected to be valued at 6.06 USD Billion in 2024.

    What are the key growth drivers for the US Natural Language Processing Market?

    Key growth drivers include increasing data generation and the rising demand for AI-powered applications.

    What challenges might the US Natural Language Processing Market face in the coming years?

    Challenges may include data privacy concerns and the need for advanced algorithms to improve accuracy.

    1. EXECUTIVE SUMMARY
    2. Market Overview
    3. Key Findings
    4. Market Segmentation
    5. Competitive Landscape
    6. Challenges and Opportunities
    7. Future Outlook
    8. MARKET INTRODUCTION
    9. Definition
    10. Scope of the study
    11. Research Objective
    12. Assumption
    13. Limitations
    14. RESEARCH METHODOLOGY
    15. Overview
    16. Data Mining
    17. Secondary Research
    18. Primary Research
    19. Primary Interviews and Information Gathering Process
    20. Breakdown of Primary Respondents
    21. Forecasting Model
    22. Market Size Estimation
    23. Bottom-Up Approach
    24. Top-Down Approach
    25. Data Triangulation
    26. Validation
    27. MARKET DYNAMICS
    28. Overview
    29. Drivers
    30. Restraints
    31. Opportunities
    32. MARKET FACTOR ANALYSIS
    33. Value chain Analysis
    34. Porter's Five Forces Analysis
    35. Bargaining Power of Suppliers
    36. Bargaining Power of Buyers
    37. Threat of New Entrants
    38. Threat of Substitutes
    39. Intensity of Rivalry
    40. COVID-19 Impact Analysis
    41. Market Impact Analysis
    42. Regional Impact
    43. Opportunity and Threat Analysis
    44. US Natural Language Processing Market, BY Technology (USD Billion)
    45. Auto-coding
    46. Text analytics
    47. Pattern & Image recognition
    48. Speech analytics
    49. US Natural Language Processing Market, BY Type (USD Billion)
    50. Rule-based
    51. Statistical
    52. Hybrid
    53. US Natural Language Processing Market, BY Deployment (USD Billion)
    54. On-Cloud
    55. On-Premise
    56. US Natural Language Processing Market, BY Service (USD Billion)
    57. Integration
    58. Consulting & maintenance
    59. US Natural Language Processing Market, BY Vertical (USD Billion)
    60. Healthcare
    61. Retail Sector
    62. Media & Entertainment
    63. Competitive Landscape
    64. Overview
    65. Competitive Analysis
    66. Market share Analysis
    67. Major Growth Strategy in the Natural Language Processing Market
    68. Competitive Benchmarking
    69. Leading Players in Terms of Number of Developments in the Natural Language Processing Market
    70. Key developments and growth strategies
    71. New Product Launch/Service Deployment
    72. Merger & Acquisitions
    73. Joint Ventures
    74. Major Players Financial Matrix
    75. Sales and Operating Income
    76. Major Players R&D Expenditure. 2023
    77. Company Profiles
    78. SAP
    79. Financial Overview
    80. Products Offered
    81. Key Developments
    82. SWOT Analysis
    83. Key Strategies
    84. OpenAI
    85. Financial Overview
    86. Products Offered
    87. Key Developments
    88. SWOT Analysis
    89. Key Strategies
    90. Apple
    91. Financial Overview
    92. Products Offered
    93. Key Developments
    94. SWOT Analysis
    95. Key Strategies
    96. Hugging Face
    97. Financial Overview
    98. Products Offered
    99. Key Developments
    100. SWOT Analysis
    101. Key Strategies
    102. Zoho
    103. Financial Overview
    104. Products Offered
    105. Key Developments
    106. SWOT Analysis
    107. Key Strategies
    108. Facebook
    109. Financial Overview
    110. Products Offered
    111. Key Developments
    112. SWOT Analysis
    113. Key Strategies
    114. Alibaba
    115. Financial Overview
    116. Products Offered
    117. Key Developments
    118. SWOT Analysis
    119. Key Strategies
    120. Cerence
    121. Financial Overview
    122. Products Offered
    123. Key Developments
    124. SWOT Analysis
    125. Key Strategies
    126. IBM
    127. Financial Overview
    128. Products Offered
    129. Key Developments
    130. SWOT Analysis
    131. Key Strategies
    132. Twilio
    133. Financial Overview
    134. Products Offered
    135. Key Developments
    136. SWOT Analysis
    137. Key Strategies
    138. Microsoft
    139. Financial Overview
    140. Products Offered
    141. Key Developments
    142. SWOT Analysis
    143. Key Strategies
    144. Google
    145. Financial Overview
    146. Products Offered
    147. Key Developments
    148. SWOT Analysis
    149. Key Strategies
    150. Salesforce
    151. Financial Overview
    152. Products Offered
    153. Key Developments
    154. SWOT Analysis
    155. Key Strategies
    156. NVIDIA
    157. Financial Overview
    158. Products Offered
    159. Key Developments
    160. SWOT Analysis
    161. Key Strategies
    162. Amazon
    163. Financial Overview
    164. Products Offered
    165. Key Developments
    166. SWOT Analysis
    167. Key Strategies
    168. References
    169. Related Reports
    170. US Natural Language Processing Market SIZE ESTIMATES & FORECAST, BY TECHNOLOGY, 2019-2035 (USD Billions)
    171. US Natural Language Processing Market SIZE ESTIMATES & FORECAST, BY TYPE, 2019-2035 (USD Billions)
    172. US Natural Language Processing Market SIZE ESTIMATES & FORECAST, BY DEPLOYMENT, 2019-2035 (USD Billions)
    173. US Natural Language Processing Market SIZE ESTIMATES & FORECAST, BY SERVICE, 2019-2035 (USD Billions)
    174. US Natural Language Processing Market SIZE ESTIMATES & FORECAST, BY VERTICAL, 2019-2035 (USD Billions)
    175. PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    176. ACQUISITION/PARTNERSHIP
    177. MARKET SYNOPSIS
    178. US NATURAL LANGUAGE PROCESSING MARKET ANALYSIS BY TECHNOLOGY
    179. US NATURAL LANGUAGE PROCESSING MARKET ANALYSIS BY TYPE
    180. US NATURAL LANGUAGE PROCESSING MARKET ANALYSIS BY DEPLOYMENT
    181. US NATURAL LANGUAGE PROCESSING MARKET ANALYSIS BY SERVICE
    182. US NATURAL LANGUAGE PROCESSING MARKET ANALYSIS BY VERTICAL
    183. KEY BUYING CRITERIA OF NATURAL LANGUAGE PROCESSING MARKET
    184. RESEARCH PROCESS OF MRFR
    185. DRO ANALYSIS OF NATURAL LANGUAGE PROCESSING MARKET
    186. DRIVERS IMPACT ANALYSIS: NATURAL LANGUAGE PROCESSING MARKET
    187. RESTRAINTS IMPACT ANALYSIS: NATURAL LANGUAGE PROCESSING MARKET
    188. SUPPLY / VALUE CHAIN: NATURAL LANGUAGE PROCESSING MARKET
    189. NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2025 (% SHARE)
    190. NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2019 TO 2035 (USD Billions)
    191. NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2025 (% SHARE)
    192. NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2019 TO 2035 (USD Billions)
    193. NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT, 2025 (% SHARE)
    194. NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT, 2019 TO 2035 (USD Billions)
    195. NATURAL LANGUAGE PROCESSING MARKET, BY SERVICE, 2025 (% SHARE)
    196. NATURAL LANGUAGE PROCESSING MARKET, BY SERVICE, 2019 TO 2035 (USD Billions)
    197. NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2025 (% SHARE)
    198. NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2019 TO 2035 (USD Billions)
    199. BENCHMARKING OF MAJOR COMPETITORS

    US Natural Language Processing Market Segmentation

     

     

     

    • Natural Language Processing Market By Technology (USD Billion, 2019-2035)

      • Auto-coding
      • Text analytics
      • Pattern & Image recognition
      • Speech analytics

     

    • Natural Language Processing Market By Type (USD Billion, 2019-2035)

      • Rule-based
      • Statistical
      • Hybrid

     

    • Natural Language Processing Market By Deployment (USD Billion, 2019-2035)

      • On-Cloud
      • On-Premise

     

    • Natural Language Processing Market By Service (USD Billion, 2019-2035)

      • Integration
      • Consulting & maintenance

     

    • Natural Language Processing Market By Vertical (USD Billion, 2019-2035)

      • Healthcare
      • Retail Sector
      • Media & Entertainment

     

     

     

     

     

     

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