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市場調查報告書
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1876025

自然語言處理（NLP）－全球市場佔有率和排名、總收入和需求預測（2025-2031年）

Natural Language Processing (NLP) - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031
出版日期: | 出版商: QYResearch | 英文 116 Pages | 商品交期: 2-3個工作天內

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全球自然語言處理 (NLP) 市場規模預計在 2024 年達到 28.26 億美元，預計到 2031 年將達到 57.69 億美元，在預測期（2025-2031 年）以 10.6% 的複合年成長率成長。

自然語言處理 (NLP) 是人工智慧的一個分支，它使用自然語言（口語和書面資料）而不是 Java 或 C++ 等人工語言來處理人機互動。

全球自然語言處理 (NLP) 市場的主要企業包括 3M、Linguamatics 和亞馬遜 AWS。全球前三大廠商佔據約 35% 的市場。美國是最大的市場，市佔率約 65%，其次是歐洲和中國，各佔約 25% 的市佔率。按產品分類，機器翻譯是最大的細分市場，約佔 45% 的市場。按應用分類，電子健康記錄 (EHR) 是最大的應用領域，其次是電腦輔助編碼 (CAC)。

本報告旨在按地區/國家、類型和最終用戶對全球自然語言處理 (NLP) 市場進行全面分析，重點關注總收入、市場佔有率和主要企業的排名。

自然語言處理 (NLP) 市場規模、估算和預測以收益為準，以 2024 年為基準年，涵蓋 2020 年至 2031 年的歷史資料和預測資料。我們運用定量和定性分析，幫助讀者制定業務/成長策略，評估市場競爭格局，分析公司在當前市場中的地位，並就自然語言處理 (NLP) 做出明智的商業決策。

市場區隔

公司

  • Microsoft
  • IBM
  • Solventum
  • Amazon AWS
  • SAS
  • Google
  • Appen
  • Dolbey Systems
  • Linguamatics
  • Verint Systems
  • Quid
  • HPE
  • Baidu
  • Huawei

按類型分類的細分市場

  • 機器翻譯
  • 資訊擷取
  • 文字和語音處理
  • 其他

最終用戶細分

  • 主要企業
  • 小型企業

按地區

  • 北美洲
    • 美國
    • 加拿大
  • 亞太地區
    • 中國
    • 日本
    • 韓國
    • 東南亞
    • 印度
    • 澳洲
    • 亞太其他地區
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 義大利
    • 荷蘭
    • 北歐國家
    • 其他歐洲
  • 拉丁美洲
    • 墨西哥
    • 巴西
    • 其他拉丁美洲
  • 中東和非洲
    • 土耳其
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 其他中東和非洲地區

The global market for Natural Language Processing (NLP) was estimated to be worth US$ 2826 million in 2024 and is forecast to a readjusted size of US$ 5769 million by 2031 with a CAGR of 10.6% during the forecast period 2025-2031.

Natural language processing (NLP) is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language (spoken or written data), not in the artificial languages such as Java and C++.

Global Natural Language Processing (NLP) key players include 3M, Linguamatics, Amazon AWS, etc. Global top three manufacturers hold a share about 35%. United States is the largest market, with a share about 65%, followed by Europe and China, both have a share about 25 percent. In terms of product, Machine Translation is the largest segment, with a share about 45%. And in terms of application, the largest application is Electronic Health Records (EHR), followed by Computer-Assisted Coding (CAC).

This report aims to provide a comprehensive presentation of the global market for Natural Language Processing (NLP), focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Natural Language Processing (NLP) by region & country, by Type, and by End User.

The Natural Language Processing (NLP) market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Natural Language Processing (NLP).

Market Segmentation

By Company

  • Microsoft
  • IBM
  • Solventum
  • Amazon AWS
  • SAS
  • Google
  • Appen
  • Dolbey Systems
  • Linguamatics
  • Verint Systems
  • Quid
  • HPE
  • Baidu
  • Huawei

Segment by Type

  • Machine Translation
  • Information Extraction
  • Text and Voice Processing
  • Others

Segment by End User

  • Large Enterprises
  • Small and Medium Enterprises

By Region

  • North America
    • United States
    • Canada
  • Asia-Pacific
    • China
    • Japan
    • South Korea
    • Southeast Asia
    • India
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Netherlands
    • Nordic Countries
    • Rest of Europe
  • Latin America
    • Mexico
    • Brazil
    • Rest of Latin America
  • Middle East & Africa
    • Turkey
    • Saudi Arabia
    • UAE
    • Rest of MEA

Chapter Outline

Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 2: Detailed analysis of Natural Language Processing (NLP) company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.

Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 4: Provides the analysis of various market segments by End User, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 5: Revenue of Natural Language Processing (NLP) in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.

Chapter 6: Revenue of Natural Language Processing (NLP) in country level. It provides sigmate data by Type, and by End User for each country/region.

Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.

Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.

Chapter 9: Conclusion.

Table of Contents

1 Market Overview

  • 1.1 Natural Language Processing (NLP) Product Introduction
  • 1.2 Global Natural Language Processing (NLP) Market Size Forecast (2020-2031)
  • 1.3 Natural Language Processing (NLP) Market Trends & Drivers
    • 1.3.1 Natural Language Processing (NLP) Industry Trends
    • 1.3.2 Natural Language Processing (NLP) Market Drivers & Opportunity
    • 1.3.3 Natural Language Processing (NLP) Market Challenges
    • 1.3.4 Natural Language Processing (NLP) Market Restraints
  • 1.4 Assumptions and Limitations
  • 1.5 Study Objectives
  • 1.6 Years Considered

2 Competitive Analysis by Company

  • 2.1 Global Natural Language Processing (NLP) Players Revenue Ranking (2024)
  • 2.2 Global Natural Language Processing (NLP) Revenue by Company (2020-2025)
  • 2.3 Key Companies Natural Language Processing (NLP) Manufacturing Base Distribution and Headquarters
  • 2.4 Key Companies Natural Language Processing (NLP) Product Offered
  • 2.5 Key Companies Time to Begin Mass Production of Natural Language Processing (NLP)
  • 2.6 Natural Language Processing (NLP) Market Competitive Analysis
    • 2.6.1 Natural Language Processing (NLP) Market Concentration Rate (2020-2025)
    • 2.6.2 Global 5 and 10 Largest Companies by Natural Language Processing (NLP) Revenue in 2024
    • 2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Natural Language Processing (NLP) as of 2024)
  • 2.7 Mergers & Acquisitions, Expansion

3 Segmentation by Type

  • 3.1 Introduction by Type
    • 3.1.1 Machine Translation
    • 3.1.2 Information Extraction
    • 3.1.3 Text and Voice Processing
    • 3.1.4 Others
  • 3.2 Global Natural Language Processing (NLP) Sales Value by Type
    • 3.2.1 Global Natural Language Processing (NLP) Sales Value by Type (2020 VS 2024 VS 2031)
    • 3.2.2 Global Natural Language Processing (NLP) Sales Value, by Type (2020-2031)
    • 3.2.3 Global Natural Language Processing (NLP) Sales Value, by Type (%) (2020-2031)

4 Segmentation by End User

  • 4.1 Introduction by End User
    • 4.1.1 Large Enterprises
    • 4.1.2 Small and Medium Enterprises
  • 4.2 Global Natural Language Processing (NLP) Sales Value by End User
    • 4.2.1 Global Natural Language Processing (NLP) Sales Value by End User (2020 VS 2024 VS 2031)
    • 4.2.2 Global Natural Language Processing (NLP) Sales Value, by End User (2020-2031)
    • 4.2.3 Global Natural Language Processing (NLP) Sales Value, by End User (%) (2020-2031)

5 Segmentation by Region

  • 5.1 Global Natural Language Processing (NLP) Sales Value by Region
    • 5.1.1 Global Natural Language Processing (NLP) Sales Value by Region: 2020 VS 2024 VS 2031
    • 5.1.2 Global Natural Language Processing (NLP) Sales Value by Region (2020-2025)
    • 5.1.3 Global Natural Language Processing (NLP) Sales Value by Region (2026-2031)
    • 5.1.4 Global Natural Language Processing (NLP) Sales Value by Region (%), (2020-2031)
  • 5.2 North America
    • 5.2.1 North America Natural Language Processing (NLP) Sales Value, 2020-2031
    • 5.2.2 North America Natural Language Processing (NLP) Sales Value by Country (%), 2024 VS 2031
  • 5.3 Europe
    • 5.3.1 Europe Natural Language Processing (NLP) Sales Value, 2020-2031
    • 5.3.2 Europe Natural Language Processing (NLP) Sales Value by Country (%), 2024 VS 2031
  • 5.4 Asia Pacific
    • 5.4.1 Asia Pacific Natural Language Processing (NLP) Sales Value, 2020-2031
    • 5.4.2 Asia Pacific Natural Language Processing (NLP) Sales Value by Region (%), 2024 VS 2031
  • 5.5 South America
    • 5.5.1 South America Natural Language Processing (NLP) Sales Value, 2020-2031
    • 5.5.2 South America Natural Language Processing (NLP) Sales Value by Country (%), 2024 VS 2031
  • 5.6 Middle East & Africa
    • 5.6.1 Middle East & Africa Natural Language Processing (NLP) Sales Value, 2020-2031
    • 5.6.2 Middle East & Africa Natural Language Processing (NLP) Sales Value by Country (%), 2024 VS 2031

6 Segmentation by Key Countries/Regions

  • 6.1 Key Countries/Regions Natural Language Processing (NLP) Sales Value Growth Trends, 2020 VS 2024 VS 2031
  • 6.2 Key Countries/Regions Natural Language Processing (NLP) Sales Value, 2020-2031
  • 6.3 United States
    • 6.3.1 United States Natural Language Processing (NLP) Sales Value, 2020-2031
    • 6.3.2 United States Natural Language Processing (NLP) Sales Value by Type (%), 2024 VS 2031
    • 6.3.3 United States Natural Language Processing (NLP) Sales Value by End User, 2024 VS 2031
  • 6.4 Europe
    • 6.4.1 Europe Natural Language Processing (NLP) Sales Value, 2020-2031
    • 6.4.2 Europe Natural Language Processing (NLP) Sales Value by Type (%), 2024 VS 2031
    • 6.4.3 Europe Natural Language Processing (NLP) Sales Value by End User, 2024 VS 2031
  • 6.5 China
    • 6.5.1 China Natural Language Processing (NLP) Sales Value, 2020-2031
    • 6.5.2 China Natural Language Processing (NLP) Sales Value by Type (%), 2024 VS 2031
    • 6.5.3 China Natural Language Processing (NLP) Sales Value by End User, 2024 VS 2031
  • 6.6 Japan
    • 6.6.1 Japan Natural Language Processing (NLP) Sales Value, 2020-2031
    • 6.6.2 Japan Natural Language Processing (NLP) Sales Value by Type (%), 2024 VS 2031
    • 6.6.3 Japan Natural Language Processing (NLP) Sales Value by End User, 2024 VS 2031
  • 6.7 South Korea
    • 6.7.1 South Korea Natural Language Processing (NLP) Sales Value, 2020-2031
    • 6.7.2 South Korea Natural Language Processing (NLP) Sales Value by Type (%), 2024 VS 2031
    • 6.7.3 South Korea Natural Language Processing (NLP) Sales Value by End User, 2024 VS 2031
  • 6.8 Southeast Asia
    • 6.8.1 Southeast Asia Natural Language Processing (NLP) Sales Value, 2020-2031
    • 6.8.2 Southeast Asia Natural Language Processing (NLP) Sales Value by Type (%), 2024 VS 2031
    • 6.8.3 Southeast Asia Natural Language Processing (NLP) Sales Value by End User, 2024 VS 2031
  • 6.9 India
    • 6.9.1 India Natural Language Processing (NLP) Sales Value, 2020-2031
    • 6.9.2 India Natural Language Processing (NLP) Sales Value by Type (%), 2024 VS 2031
    • 6.9.3 India Natural Language Processing (NLP) Sales Value by End User, 2024 VS 2031

7 Company Profiles

  • 7.1 Microsoft
    • 7.1.1 Microsoft Profile
    • 7.1.2 Microsoft Main Business
    • 7.1.3 Microsoft Natural Language Processing (NLP) Products, Services and Solutions
    • 7.1.4 Microsoft Natural Language Processing (NLP) Revenue (US$ Million) & (2020-2025)
    • 7.1.5 Microsoft Recent Developments
  • 7.2 IBM
    • 7.2.1 IBM Profile
    • 7.2.2 IBM Main Business
    • 7.2.3 IBM Natural Language Processing (NLP) Products, Services and Solutions
    • 7.2.4 IBM Natural Language Processing (NLP) Revenue (US$ Million) & (2020-2025)
    • 7.2.5 IBM Recent Developments
  • 7.3 Solventum
    • 7.3.1 Solventum Profile
    • 7.3.2 Solventum Main Business
    • 7.3.3 Solventum Natural Language Processing (NLP) Products, Services and Solutions
    • 7.3.4 Solventum Natural Language Processing (NLP) Revenue (US$ Million) & (2020-2025)
    • 7.3.5 Solventum Recent Developments
  • 7.4 Amazon AWS
    • 7.4.1 Amazon AWS Profile
    • 7.4.2 Amazon AWS Main Business
    • 7.4.3 Amazon AWS Natural Language Processing (NLP) Products, Services and Solutions
    • 7.4.4 Amazon AWS Natural Language Processing (NLP) Revenue (US$ Million) & (2020-2025)
    • 7.4.5 Amazon AWS Recent Developments
  • 7.5 SAS
    • 7.5.1 SAS Profile
    • 7.5.2 SAS Main Business
    • 7.5.3 SAS Natural Language Processing (NLP) Products, Services and Solutions
    • 7.5.4 SAS Natural Language Processing (NLP) Revenue (US$ Million) & (2020-2025)
    • 7.5.5 SAS Recent Developments
  • 7.6 Google
    • 7.6.1 Google Profile
    • 7.6.2 Google Main Business
    • 7.6.3 Google Natural Language Processing (NLP) Products, Services and Solutions
    • 7.6.4 Google Natural Language Processing (NLP) Revenue (US$ Million) & (2020-2025)
    • 7.6.5 Google Recent Developments
  • 7.7 Appen
    • 7.7.1 Appen Profile
    • 7.7.2 Appen Main Business
    • 7.7.3 Appen Natural Language Processing (NLP) Products, Services and Solutions
    • 7.7.4 Appen Natural Language Processing (NLP) Revenue (US$ Million) & (2020-2025)
    • 7.7.5 Appen Recent Developments
  • 7.8 Dolbey Systems
    • 7.8.1 Dolbey Systems Profile
    • 7.8.2 Dolbey Systems Main Business
    • 7.8.3 Dolbey Systems Natural Language Processing (NLP) Products, Services and Solutions
    • 7.8.4 Dolbey Systems Natural Language Processing (NLP) Revenue (US$ Million) & (2020-2025)
    • 7.8.5 Dolbey Systems Recent Developments
  • 7.9 Linguamatics
    • 7.9.1 Linguamatics Profile
    • 7.9.2 Linguamatics Main Business
    • 7.9.3 Linguamatics Natural Language Processing (NLP) Products, Services and Solutions
    • 7.9.4 Linguamatics Natural Language Processing (NLP) Revenue (US$ Million) & (2020-2025)
    • 7.9.5 Linguamatics Recent Developments
  • 7.10 Verint Systems
    • 7.10.1 Verint Systems Profile
    • 7.10.2 Verint Systems Main Business
    • 7.10.3 Verint Systems Natural Language Processing (NLP) Products, Services and Solutions
    • 7.10.4 Verint Systems Natural Language Processing (NLP) Revenue (US$ Million) & (2020-2025)
    • 7.10.5 Verint Systems Recent Developments
  • 7.11 Quid
    • 7.11.1 Quid Profile
    • 7.11.2 Quid Main Business
    • 7.11.3 Quid Natural Language Processing (NLP) Products, Services and Solutions
    • 7.11.4 Quid Natural Language Processing (NLP) Revenue (US$ Million) & (2020-2025)
    • 7.11.5 Quid Recent Developments
  • 7.12 HPE
    • 7.12.1 HPE Profile
    • 7.12.2 HPE Main Business
    • 7.12.3 HPE Natural Language Processing (NLP) Products, Services and Solutions
    • 7.12.4 HPE Natural Language Processing (NLP) Revenue (US$ Million) & (2020-2025)
    • 7.12.5 HPE Recent Developments
  • 7.13 Baidu
    • 7.13.1 Baidu Profile
    • 7.13.2 Baidu Main Business
    • 7.13.3 Baidu Natural Language Processing (NLP) Products, Services and Solutions
    • 7.13.4 Baidu Natural Language Processing (NLP) Revenue (US$ Million) & (2020-2025)
    • 7.13.5 Baidu Recent Developments
  • 7.14 Huawei
    • 7.14.1 Huawei Profile
    • 7.14.2 Huawei Main Business
    • 7.14.3 Huawei Natural Language Processing (NLP) Products, Services and Solutions
    • 7.14.4 Huawei Natural Language Processing (NLP) Revenue (US$ Million) & (2020-2025)
    • 7.14.5 Huawei Recent Developments

8 Industry Chain Analysis

  • 8.1 Natural Language Processing (NLP) Industrial Chain
  • 8.2 Natural Language Processing (NLP) Upstream Analysis
    • 8.2.1 Key Raw Materials
    • 8.2.2 Raw Materials Key Suppliers
    • 8.2.3 Manufacturing Cost Structure
  • 8.3 Midstream Analysis
  • 8.4 Downstream Analysis (Customers Analysis)
  • 8.5 Sales Model and Sales Channels
    • 8.5.1 Natural Language Processing (NLP) Sales Model
    • 8.5.2 Sales Channel
    • 8.5.3 Natural Language Processing (NLP) Distributors

9 Research Findings and Conclusion

10 Appendix

  • 10.1 Research Methodology
    • 10.1.1 Methodology/Research Approach
      • 10.1.1.1 Research Programs/Design
      • 10.1.1.2 Market Size Estimation
      • 10.1.1.3 Market Breakdown and Data Triangulation
    • 10.1.2 Data Source
      • 10.1.2.1 Secondary Sources
      • 10.1.2.2 Primary Sources
  • 10.2 Author Details
  • 10.3 Disclaimer

List of Tables

  • Table 1. Natural Language Processing (NLP) Market Trends
  • Table 2. Natural Language Processing (NLP) Market Drivers & Opportunity
  • Table 3. Natural Language Processing (NLP) Market Challenges
  • Table 4. Natural Language Processing (NLP) Market Restraints
  • Table 5. Global Natural Language Processing (NLP) Revenue by Company (2020-2025) & (US$ Million)
  • Table 6. Global Natural Language Processing (NLP) Revenue Market Share by Company (2020-2025)
  • Table 7. Key Companies Natural Language Processing (NLP) Manufacturing Base Distribution and Headquarters
  • Table 8. Key Companies Natural Language Processing (NLP) Product Type
  • Table 9. Key Companies Time to Begin Mass Production of Natural Language Processing (NLP)
  • Table 10. Global Natural Language Processing (NLP) Companies Market Concentration Ratio (CR5 and HHI)
  • Table 11. Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Natural Language Processing (NLP) as of 2024)
  • Table 12. Mergers & Acquisitions, Expansion Plans
  • Table 13. Global Natural Language Processing (NLP) Sales Value by Type: 2020 VS 2024 VS 2031 (US$ Million)
  • Table 14. Global Natural Language Processing (NLP) Sales Value by Type (2020-2025) & (US$ Million)
  • Table 15. Global Natural Language Processing (NLP) Sales Value by Type (2026-2031) & (US$ Million)
  • Table 16. Global Natural Language Processing (NLP) Sales Market Share in Value by Type (2020-2025)
  • Table 17. Global Natural Language Processing (NLP) Sales Market Share in Value by Type (2026-2031)
  • Table 18. Global Natural Language Processing (NLP) Sales Value by End User: 2020 VS 2024 VS 2031 (US$ Million)
  • Table 19. Global Natural Language Processing (NLP) Sales Value by End User (2020-2025) & (US$ Million)
  • Table 20. Global Natural Language Processing (NLP) Sales Value by End User (2026-2031) & (US$ Million)
  • Table 21. Global Natural Language Processing (NLP) Sales Market Share in Value by End User (2020-2025)
  • Table 22. Global Natural Language Processing (NLP) Sales Market Share in Value by End User (2026-2031)
  • Table 23. Global Natural Language Processing (NLP) Sales Value by Region, (2020 VS 2024 VS 2031) & (US$ Million)
  • Table 24. Global Natural Language Processing (NLP) Sales Value by Region (2020-2025) & (US$ Million)
  • Table 25. Global Natural Language Processing (NLP) Sales Value by Region (2026-2031) & (US$ Million)
  • Table 26. Global Natural Language Processing (NLP) Sales Value by Region (2020-2025) & (%)
  • Table 27. Global Natural Language Processing (NLP) Sales Value by Region (2026-2031) & (%)
  • Table 28. Key Countries/Regions Natural Language Processing (NLP) Sales Value Growth Trends, (US$ Million): 2020 VS 2024 VS 2031
  • Table 29. Key Countries/Regions Natural Language Processing (NLP) Sales Value, (2020-2025) & (US$ Million)
  • Table 30. Key Countries/Regions Natural Language Processing (NLP) Sales Value, (2026-2031) & (US$ Million)
  • Table 31. Microsoft Basic Information List
  • Table 32. Microsoft Description and Business Overview
  • Table 33. Microsoft Natural Language Processing (NLP) Products, Services and Solutions
  • Table 34. Revenue (US$ Million) in Natural Language Processing (NLP) Business of Microsoft (2020-2025)
  • Table 35. Microsoft Recent Developments
  • Table 36. IBM Basic Information List
  • Table 37. IBM Description and Business Overview
  • Table 38. IBM Natural Language Processing (NLP) Products, Services and Solutions
  • Table 39. Revenue (US$ Million) in Natural Language Processing (NLP) Business of IBM (2020-2025)
  • Table 40. IBM Recent Developments
  • Table 41. Solventum Basic Information List
  • Table 42. Solventum Description and Business Overview
  • Table 43. Solventum Natural Language Processing (NLP) Products, Services and Solutions
  • Table 44. Revenue (US$ Million) in Natural Language Processing (NLP) Business of Solventum (2020-2025)
  • Table 45. Solventum Recent Developments
  • Table 46. Amazon AWS Basic Information List
  • Table 47. Amazon AWS Description and Business Overview
  • Table 48. Amazon AWS Natural Language Processing (NLP) Products, Services and Solutions
  • Table 49. Revenue (US$ Million) in Natural Language Processing (NLP) Business of Amazon AWS (2020-2025)
  • Table 50. Amazon AWS Recent Developments
  • Table 51. SAS Basic Information List
  • Table 52. SAS Description and Business Overview
  • Table 53. SAS Natural Language Processing (NLP) Products, Services and Solutions
  • Table 54. Revenue (US$ Million) in Natural Language Processing (NLP) Business of SAS (2020-2025)
  • Table 55. SAS Recent Developments
  • Table 56. Google Basic Information List
  • Table 57. Google Description and Business Overview
  • Table 58. Google Natural Language Processing (NLP) Products, Services and Solutions
  • Table 59. Revenue (US$ Million) in Natural Language Processing (NLP) Business of Google (2020-2025)
  • Table 60. Google Recent Developments
  • Table 61. Appen Basic Information List
  • Table 62. Appen Description and Business Overview
  • Table 63. Appen Natural Language Processing (NLP) Products, Services and Solutions
  • Table 64. Revenue (US$ Million) in Natural Language Processing (NLP) Business of Appen (2020-2025)
  • Table 65. Appen Recent Developments
  • Table 66. Dolbey Systems Basic Information List
  • Table 67. Dolbey Systems Description and Business Overview
  • Table 68. Dolbey Systems Natural Language Processing (NLP) Products, Services and Solutions
  • Table 69. Revenue (US$ Million) in Natural Language Processing (NLP) Business of Dolbey Systems (2020-2025)
  • Table 70. Dolbey Systems Recent Developments
  • Table 71. Linguamatics Basic Information List
  • Table 72. Linguamatics Description and Business Overview
  • Table 73. Linguamatics Natural Language Processing (NLP) Products, Services and Solutions
  • Table 74. Revenue (US$ Million) in Natural Language Processing (NLP) Business of Linguamatics (2020-2025)
  • Table 75. Linguamatics Recent Developments
  • Table 76. Verint Systems Basic Information List
  • Table 77. Verint Systems Description and Business Overview
  • Table 78. Verint Systems Natural Language Processing (NLP) Products, Services and Solutions
  • Table 79. Revenue (US$ Million) in Natural Language Processing (NLP) Business of Verint Systems (2020-2025)
  • Table 80. Verint Systems Recent Developments
  • Table 81. Quid Basic Information List
  • Table 82. Quid Description and Business Overview
  • Table 83. Quid Natural Language Processing (NLP) Products, Services and Solutions
  • Table 84. Revenue (US$ Million) in Natural Language Processing (NLP) Business of Quid (2020-2025)
  • Table 85. Quid Recent Developments
  • Table 86. HPE Basic Information List
  • Table 87. HPE Description and Business Overview
  • Table 88. HPE Natural Language Processing (NLP) Products, Services and Solutions
  • Table 89. Revenue (US$ Million) in Natural Language Processing (NLP) Business of HPE (2020-2025)
  • Table 90. HPE Recent Developments
  • Table 91. Baidu Basic Information List
  • Table 92. Baidu Description and Business Overview
  • Table 93. Baidu Natural Language Processing (NLP) Products, Services and Solutions
  • Table 94. Revenue (US$ Million) in Natural Language Processing (NLP) Business of Baidu (2020-2025)
  • Table 95. Baidu Recent Developments
  • Table 96. Huawei Basic Information List
  • Table 97. Huawei Description and Business Overview
  • Table 98. Huawei Natural Language Processing (NLP) Products, Services and Solutions
  • Table 99. Revenue (US$ Million) in Natural Language Processing (NLP) Business of Huawei (2020-2025)
  • Table 100. Huawei Recent Developments
  • Table 101. Key Raw Materials Lists
  • Table 102. Raw Materials Key Suppliers Lists
  • Table 103. Natural Language Processing (NLP) Downstream Customers
  • Table 104. Natural Language Processing (NLP) Distributors List
  • Table 105. Research Programs/Design for This Report
  • Table 106. Key Data Information from Secondary Sources
  • Table 107. Key Data Information from Primary Sources

List of Figures

  • Figure 1. Natural Language Processing (NLP) Product Picture
  • Figure 2. Global Natural Language Processing (NLP) Sales Value, 2020 VS 2024 VS 2031 (US$ Million)
  • Figure 3. Global Natural Language Processing (NLP) Sales Value (2020-2031) & (US$ Million)
  • Figure 4. Natural Language Processing (NLP) Report Years Considered
  • Figure 5. Global Natural Language Processing (NLP) Players Revenue Ranking (2024) & (US$ Million)
  • Figure 6. The 5 and 10 Largest Companies in the World: Market Share by Natural Language Processing (NLP) Revenue in 2024
  • Figure 7. Natural Language Processing (NLP) Market Share by Company Type (Tier 1, Tier 2, and Tier 3): 2020 VS 2024
  • Figure 8. Machine Translation Picture
  • Figure 9. Information Extraction Picture
  • Figure 10. Text and Voice Processing Picture
  • Figure 11. Others Picture
  • Figure 12. Global Natural Language Processing (NLP) Sales Value by Type (2020 VS 2024 VS 2031) & (US$ Million)
  • Figure 13. Global Natural Language Processing (NLP) Sales Value Market Share by Type, 2024 & 2031
  • Figure 14. Product Picture of Large Enterprises
  • Figure 15. Product Picture of Small and Medium Enterprises
  • Figure 16. Global Natural Language Processing (NLP) Sales Value by End User (2020 VS 2024 VS 2031) & (US$ Million)
  • Figure 17. Global Natural Language Processing (NLP) Sales Value Market Share by End User, 2024 & 2031
  • Figure 18. North America Natural Language Processing (NLP) Sales Value (2020-2031) & (US$ Million)
  • Figure 19. North America Natural Language Processing (NLP) Sales Value by Country (%), 2024 VS 2031
  • Figure 20. Europe Natural Language Processing (NLP) Sales Value, (2020-2031) & (US$ Million)
  • Figure 21. Europe Natural Language Processing (NLP) Sales Value by Country (%), 2024 VS 2031
  • Figure 22. Asia Pacific Natural Language Processing (NLP) Sales Value, (2020-2031) & (US$ Million)
  • Figure 23. Asia Pacific Natural Language Processing (NLP) Sales Value by Region (%), 2024 VS 2031
  • Figure 24. South America Natural Language Processing (NLP) Sales Value, (2020-2031) & (US$ Million)
  • Figure 25. South America Natural Language Processing (NLP) Sales Value by Country (%), 2024 VS 2031
  • Figure 26. Middle East & Africa Natural Language Processing (NLP) Sales Value, (2020-2031) & (US$ Million)
  • Figure 27. Middle East & Africa Natural Language Processing (NLP) Sales Value by Country (%), 2024 VS 2031
  • Figure 28. Key Countries/Regions Natural Language Processing (NLP) Sales Value (%), (2020-2031)
  • Figure 29. United States Natural Language Processing (NLP) Sales Value, (2020-2031) & (US$ Million)
  • Figure 30. United States Natural Language Processing (NLP) Sales Value by Type (%), 2024 VS 2031
  • Figure 31. United States Natural Language Processing (NLP) Sales Value by End User (%), 2024 VS 2031
  • Figure 32. Europe Natural Language Processing (NLP) Sales Value, (2020-2031) & (US$ Million)
  • Figure 33. Europe Natural Language Processing (NLP) Sales Value by Type (%), 2024 VS 2031
  • Figure 34. Europe Natural Language Processing (NLP) Sales Value by End User (%), 2024 VS 2031
  • Figure 35. China Natural Language Processing (NLP) Sales Value, (2020-2031) & (US$ Million)
  • Figure 36. China Natural Language Processing (NLP) Sales Value by Type (%), 2024 VS 2031
  • Figure 37. China Natural Language Processing (NLP) Sales Value by End User (%), 2024 VS 2031
  • Figure 38. Japan Natural Language Processing (NLP) Sales Value, (2020-2031) & (US$ Million)
  • Figure 39. Japan Natural Language Processing (NLP) Sales Value by Type (%), 2024 VS 2031
  • Figure 40. Japan Natural Language Processing (NLP) Sales Value by End User (%), 2024 VS 2031
  • Figure 41. South Korea Natural Language Processing (NLP) Sales Value, (2020-2031) & (US$ Million)
  • Figure 42. South Korea Natural Language Processing (NLP) Sales Value by Type (%), 2024 VS 2031
  • Figure 43. South Korea Natural Language Processing (NLP) Sales Value by End User (%), 2024 VS 2031
  • Figure 44. Southeast Asia Natural Language Processing (NLP) Sales Value, (2020-2031) & (US$ Million)
  • Figure 45. Southeast Asia Natural Language Processing (NLP) Sales Value by Type (%), 2024 VS 2031
  • Figure 46. Southeast Asia Natural Language Processing (NLP) Sales Value by End User (%), 2024 VS 2031
  • Figure 47. India Natural Language Processing (NLP) Sales Value, (2020-2031) & (US$ Million)
  • Figure 48. India Natural Language Processing (NLP) Sales Value by Type (%), 2024 VS 2031
  • Figure 49. India Natural Language Processing (NLP) Sales Value by End User (%), 2024 VS 2031
  • Figure 50. Natural Language Processing (NLP) Industrial Chain
  • Figure 51. Natural Language Processing (NLP) Manufacturing Cost Structure
  • Figure 52. Channels of Distribution (Direct Sales, and Distribution)
  • Figure 53. Bottom-up and Top-down Approaches for This Report
  • Figure 54. Data Triangulation
  • Figure 55. Key Executives Interviewed