Natural Language Processing (NLP) Industry Research Report 2024

Natural Language Processing (NLP) Industry Research Report 2024


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++.

Highlights

The global Natural Language Processing (NLP) market is projected to reach US$ million by 2030 from an estimated US$ million in 2024, at a CAGR of % during 2025 and 2030.
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).

Report Scope

This report aims to provide a comprehensive presentation of the global market for Natural Language Processing (NLP), 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).
The Natural Language Processing (NLP) market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Natural Language Processing (NLP) market comprehensively. Regional market sizes, concerning products by types, by application, and by players, are also provided. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Natural Language Processing (NLP) companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, product type, application, and regions.

Key Companies & Market Share Insights

In this section, the readers will gain an understanding of the key players competing. This report has studied the key growth strategies, such as innovative trends and developments, intensification of product portfolio, mergers and acquisitions, collaborations, new product innovation, and geographical expansion, undertaken by these participants to maintain their presence. Apart from business strategies, the study includes current developments and key financials. The readers will also get access to the data related to global revenue by companies for the period 2019-2024. This all-inclusive report will certainly serve the clients to stay updated and make effective decisions in their businesses. Some of the prominent players reviewed in the research report include:

Microsoft
IBM
3M
Amazon AWS
SAS
Google
Appen
Dolbey Systems
IQVIA Linguamatics
Verint Systems
NetBase Quid
HPE
Baidu
Huawei

Product Type Insights

Global markets are presented by Natural Language Processing (NLP) type, along with growth forecasts through 2030. Estimates on revenue are based on the price in the supply chain at which the Natural Language Processing (NLP) are procured by the companies.
This report has studied every segment and provided the market size using historical data. They have also talked about the growth opportunities that the segment may pose in the future. This study bestows revenue data by type, and during the historical period (2019-2024) and forecast period (2025-2030).
Natural Language Processing (NLP) segment by Type

Machine Translation
Information Extraction
Text and Voice Processing
Others

Application Insights

This report has provided the market size (revenue data) by application, during the historical period (2019-2024) and forecast period (2025-2030).
This report also outlines the market trends of each segment and consumer behaviors impacting the Natural Language Processing (NLP) market and what implications these may have on the industry's future. This report can help to understand the relevant market and consumer trends that are driving the Natural Language Processing (NLP) market.
Natural Language Processing (NLP) Segment by End User
Large Enterprises
Small and Medium Enterprises

Regional Outlook

This section of the report provides key insights regarding various regions and the key players operating in each region. Economic, social, environmental, technological, and political factors have been taken into consideration while assessing the growth of the particular region/country. The readers will also get their hands on the revenue data of each region and country for the period 2019-2030.

The market has been segmented into various major geographies, including North America, Europe, Asia-Pacific, South America, Middle East & Africa. Detailed analysis of major countries such as the USA, Germany, the U.K., Italy, France, China, Japan, South Korea, Southeast Asia, and India will be covered within the regional segment. For market estimates, data are going to be provided for 2023 because of the base year, with estimates for 2024 and forecast revenue for 2030.

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

Key Drivers & Barriers

High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
COVID-19 and Russia-Ukraine War Influence Analysis
The readers in the section will understand how the Natural Language Processing (NLP) market scenario changed across the globe during the pandemic, post-pandemic and Russia-Ukraine War. The study is done keeping in view the changes in aspects such as demand, consumption, transportation, consumer behavior, supply chain management. The industry experts have also highlighted the key factors that will help create opportunities for players and stabilize the overall industry in the years to come.

Reasons to Buy This Report

This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Natural Language Processing (NLP) market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
This report will help stakeholders to understand the global industry status and trends of Natural Language Processing (NLP) and provides them with information on key market drivers, restraints, challenges, and opportunities.
This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
This report stays updated with novel technology integration, features, and the latest developments in the market
This report helps stakeholders to understand the COVID-19 and Russia-Ukraine War Influence on the Natural Language Processing (NLP) industry.
This report helps stakeholders to gain insights into which regions to target globally
This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Natural Language Processing (NLP).
This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.

Core Chapters

Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 3: Provides the analysis of various market segments product types, 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 application, 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: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 6: Detailed analysis of Natural Language Processing (NLP) companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions of the report.


1 Preface
1.1 Scope of Report
1.2 Reasons for Doing This Study
1.3 Research Methodology
1.4 Research Process
1.5 Data Source
1.5.1 Secondary Sources
1.5.2 Primary Sources
2 Market Overview
2.1 Product Definition
2.2 Natural Language Processing (NLP) by Type
2.2.1 Market Value Comparison by Type (2019 VS 2023 VS 2030)
1.2.2 Machine Translation
1.2.3 Information Extraction
1.2.4 Text and Voice Processing
1.2.5 Others
2.3 Natural Language Processing (NLP) by End User
2.3.1 Market Value Comparison by End User (2019 VS 2023 VS 2030)
2.3.2 Large Enterprises
2.3.3 Small and Medium Enterprises
2.4 Assumptions and Limitations
3 Natural Language Processing (NLP) Breakdown Data by Type
3.1 Global Natural Language Processing (NLP) Historic Market Size by Type (2019-2024)
3.2 Global Natural Language Processing (NLP) Forecasted Market Size by Type (2025-2030)
4 Natural Language Processing (NLP) Breakdown Data by End User
4.1 Global Natural Language Processing (NLP) Historic Market Size by End User (2019-2024)
4.2 Global Natural Language Processing (NLP) Forecasted Market Size by End User (2019-2024)
5 Global Growth Trends
5.1 Global Natural Language Processing (NLP) Market Perspective (2019-2030)
5.2 Global Natural Language Processing (NLP) Growth Trends by Region
5.2.1 Global Natural Language Processing (NLP) Market Size by Region: 2019 VS 2023 VS 2030
5.2.2 Natural Language Processing (NLP) Historic Market Size by Region (2019-2024)
5.2.3 Natural Language Processing (NLP) Forecasted Market Size by Region (2025-2030)
5.3 Natural Language Processing (NLP) Market Dynamics
5.3.1 Natural Language Processing (NLP) Industry Trends
5.3.2 Natural Language Processing (NLP) Market Drivers
5.3.3 Natural Language Processing (NLP) Market Challenges
5.3.4 Natural Language Processing (NLP) Market Restraints
6 Market Competitive Landscape by Players
6.1 Global Top Natural Language Processing (NLP) Players by Revenue
6.1.1 Global Top Natural Language Processing (NLP) Players by Revenue (2019-2024)
6.1.2 Global Natural Language Processing (NLP) Revenue Market Share by Players (2019-2024)
6.2 Global Natural Language Processing (NLP) Industry Players Ranking, 2022 VS 2023 VS 2024
6.3 Global Key Players of Natural Language Processing (NLP) Head office and Area Served
6.4 Global Natural Language Processing (NLP) Players, Product Type & Application
6.5 Global Natural Language Processing (NLP) Players, Date of Enter into This Industry
6.6 Global Natural Language Processing (NLP) Market CR5 and HHI
6.7 Global Players Mergers & Acquisition
7 North America
7.1 North America Natural Language Processing (NLP) Market Size (2019-2030)
7.2 North America Natural Language Processing (NLP) Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 North America Natural Language Processing (NLP) Market Size by Country (2019-2024)
7.4 North America Natural Language Processing (NLP) Market Size by Country (2025-2030)
7.5 United States
7.6 Canada
8 Europe
8.1 Europe Natural Language Processing (NLP) Market Size (2019-2030)
8.2 Europe Natural Language Processing (NLP) Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Europe Natural Language Processing (NLP) Market Size by Country (2019-2024)
8.4 Europe Natural Language Processing (NLP) Market Size by Country (2025-2030)
7.4 Germany
7.5 France
7.6 U.K.
7.7 Italy
7.8 Russia
7.9 Nordic Countries
9 Asia-Pacific
9.1 Asia-Pacific Natural Language Processing (NLP) Market Size (2019-2030)
9.2 Asia-Pacific Natural Language Processing (NLP) Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Asia-Pacific Natural Language Processing (NLP) Market Size by Country (2019-2024)
9.4 Asia-Pacific Natural Language Processing (NLP) Market Size by Country (2025-2030)
8.4 China
8.5 Japan
8.6 South Korea
8.7 Southeast Asia
8.8 India
8.9 Australia
10 Latin America
10.1 Latin America Natural Language Processing (NLP) Market Size (2019-2030)
10.2 Latin America Natural Language Processing (NLP) Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Latin America Natural Language Processing (NLP) Market Size by Country (2019-2024)
10.4 Latin America Natural Language Processing (NLP) Market Size by Country (2025-2030)
9.4 Mexico
9.5 Brazil
11 Middle East & Africa
11.1 Middle East & Africa Natural Language Processing (NLP) Market Size (2019-2030)
11.2 Middle East & Africa Natural Language Processing (NLP) Market Growth Rate by Country: 2019 VS 2023 VS 2030
11.3 Middle East & Africa Natural Language Processing (NLP) Market Size by Country (2019-2024)
11.4 Middle East & Africa Natural Language Processing (NLP) Market Size by Country (2025-2030)
10.4 Turkey
10.5 Saudi Arabia
10.6 UAE
12 Players Profiled
11.1 Microsoft
11.1.1 Microsoft Company Detail
11.1.2 Microsoft Business Overview
11.1.3 Microsoft Natural Language Processing (NLP) Introduction
11.1.4 Microsoft Revenue in Natural Language Processing (NLP) Business (2017-2022)
11.1.5 Microsoft Recent Development
11.2 IBM
11.2.1 IBM Company Detail
11.2.2 IBM Business Overview
11.2.3 IBM Natural Language Processing (NLP) Introduction
11.2.4 IBM Revenue in Natural Language Processing (NLP) Business (2017-2022)
11.2.5 IBM Recent Development
11.3 3M
11.3.1 3M Company Detail
11.3.2 3M Business Overview
11.3.3 3M Natural Language Processing (NLP) Introduction
11.3.4 3M Revenue in Natural Language Processing (NLP) Business (2017-2022)
11.3.5 3M Recent Development
11.4 Amazon AWS
11.4.1 Amazon AWS Company Detail
11.4.2 Amazon AWS Business Overview
11.4.3 Amazon AWS Natural Language Processing (NLP) Introduction
11.4.4 Amazon AWS Revenue in Natural Language Processing (NLP) Business (2017-2022)
11.4.5 Amazon AWS Recent Development
11.5 SAS
11.5.1 SAS Company Detail
11.5.2 SAS Business Overview
11.5.3 SAS Natural Language Processing (NLP) Introduction
11.5.4 SAS Revenue in Natural Language Processing (NLP) Business (2017-2022)
11.5.5 SAS Recent Development
11.6 Google
11.6.1 Google Company Detail
11.6.2 Google Business Overview
11.6.3 Google Natural Language Processing (NLP) Introduction
11.6.4 Google Revenue in Natural Language Processing (NLP) Business (2017-2022)
11.6.5 Google Recent Development
11.7 Appen
11.7.1 Appen Company Detail
11.7.2 Appen Business Overview
11.7.3 Appen Natural Language Processing (NLP) Introduction
11.7.4 Appen Revenue in Natural Language Processing (NLP) Business (2017-2022)
11.7.5 Appen Recent Development
11.8 Dolbey Systems
11.8.1 Dolbey Systems Company Detail
11.8.2 Dolbey Systems Business Overview
11.8.3 Dolbey Systems Natural Language Processing (NLP) Introduction
11.8.4 Dolbey Systems Revenue in Natural Language Processing (NLP) Business (2017-2022)
11.8.5 Dolbey Systems Recent Development
11.9 IQVIA Linguamatics
11.9.1 IQVIA Linguamatics Company Detail
11.9.2 IQVIA Linguamatics Business Overview
11.9.3 IQVIA Linguamatics Natural Language Processing (NLP) Introduction
11.9.4 IQVIA Linguamatics Revenue in Natural Language Processing (NLP) Business (2017-2022)
11.9.5 IQVIA Linguamatics Recent Development
11.10 Verint Systems
11.10.1 Verint Systems Company Detail
11.10.2 Verint Systems Business Overview
11.10.3 Verint Systems Natural Language Processing (NLP) Introduction
11.10.4 Verint Systems Revenue in Natural Language Processing (NLP) Business (2017-2022)
11.10.5 Verint Systems Recent Development
11.11 NetBase Quid
11.11.1 NetBase Quid Company Detail
11.11.2 NetBase Quid Business Overview
11.11.3 NetBase Quid Natural Language Processing (NLP) Introduction
11.11.4 NetBase Quid Revenue in Natural Language Processing (NLP) Business (2017-2022)
11.11.5 NetBase Quid Recent Development
11.12 HPE
11.12.1 HPE Company Detail
11.12.2 HPE Business Overview
11.12.3 HPE Natural Language Processing (NLP) Introduction
11.12.4 HPE Revenue in Natural Language Processing (NLP) Business (2017-2022)
11.12.5 HPE Recent Development
11.13 Baidu
11.13.1 Baidu Company Detail
11.13.2 Baidu Business Overview
11.13.3 Baidu Natural Language Processing (NLP) Introduction
11.13.4 Baidu Revenue in Natural Language Processing (NLP) Business (2017-2022)
11.13.5 Baidu Recent Development
11.14 Huawei
11.14.1 Huawei Company Detail
11.14.2 Huawei Business Overview
11.14.3 Huawei Natural Language Processing (NLP) Introduction
11.14.4 Huawei Revenue in Natural Language Processing (NLP) Business (2017-2022)
11.14.5 Huawei Recent Development
13 Report Conclusion
14 Disclaimer
List of Tables
Table 1. Secondary Sources
Table 2. Primary Sources
Table 3. Market Value Comparison by Type (2019 VS 2023 VS 2030) & (US$ Million)
Table 4. Market Value Comparison by End User (2019 VS 2023 VS 2030) & (US$ Million)
Table 5. Global Natural Language Processing (NLP) Market Size by Type (2019-2024) & (US$ Million)
Table 6. Global Natural Language Processing (NLP) Revenue Market Share by Type (2019-2024)
Table 7. Global Natural Language Processing (NLP) Forecasted Market Size by Type (2025-2030) & (US$ Million)
Table 8. Global Natural Language Processing (NLP) Revenue Market Share by Type (2025-2030)
Table 9. Global Natural Language Processing (NLP) Market Size by End User (2019-2024) & (US$ Million)
Table 10. Global Natural Language Processing (NLP) Revenue Market Share by End User (2019-2024)
Table 11. Global Natural Language Processing (NLP) Forecasted Market Size by End User (2025-2030) & (US$ Million)
Table 12. Global Natural Language Processing (NLP) Revenue Market Share by End User (2025-2030)
Table 13. Global Natural Language Processing (NLP) Market Size by Region (US$ Million): 2019 VS 2023 VS 2030
Table 14. Global Natural Language Processing (NLP) Market Size by Region (2019-2024) & (US$ Million)
Table 15. Global Natural Language Processing (NLP) Market Share by Region (2019-2024)
Table 16. Global Natural Language Processing (NLP) Forecasted Market Size by Region (2025-2030) & (US$ Million)
Table 17. Global Natural Language Processing (NLP) Market Share by Region (2025-2030)
Table 18. Natural Language Processing (NLP) Market Trends
Table 19. Natural Language Processing (NLP) Market Drivers
Table 20. Natural Language Processing (NLP) Market Challenges
Table 21. Natural Language Processing (NLP) Market Restraints
Table 22. Global Top Natural Language Processing (NLP) Manufacturers by Revenue (US$ Million) & (2019-2024)
Table 23. Global Natural Language Processing (NLP) Revenue Market Share by Manufacturers (2019-2024)
Table 24. Global Natural Language Processing (NLP) Industry Manufacturers Ranking, 2022 VS 2023 VS 2024
Table 25. Global Key Players of Natural Language Processing (NLP), Headquarters and Area Served
Table 26. Global Natural Language Processing (NLP) Manufacturers, Product Type & Application
Table 27. Global Manufacturers Market Concentration Ratio (CR5 and HHI)
Table 28. Global Natural Language Processing (NLP) by Manufacturers Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue of 2023)
Table 29. Manufacturers Mergers & Acquisitions, Expansion Plans
Table 30. North America Natural Language Processing (NLP) Market Growth Rate by Country: 2019 VS 2023 VS 2030 (US$ Million)
Table 31. North America Natural Language Processing (NLP) Market Size by Country (2019-2024) & (US$ Million)
Table 32. North America Natural Language Processing (NLP) Market Size by Country (2025-2030) & (US$ Million)
Table 33. Europe Natural Language Processing (NLP) Market Growth Rate by Country: 2019 VS 2023 VS 2030 (US$ Million)
Table 34. Europe Natural Language Processing (NLP) Market Size by Country (2019-2024) & (US$ Million)
Table 35. Europe Natural Language Processing (NLP) Market Size by Country (2025-2030) & (US$ Million)
Table 36. Asia-Pacific Natural Language Processing (NLP) Market Growth Rate by Country: 2019 VS 2023 VS 2030 (US$ Million)
Table 37. Asia-Pacific Natural Language Processing (NLP) Market Size by Country (2019-2024) & (US$ Million)
Table 38. Asia-Pacific Natural Language Processing (NLP) Market Size by Country (2025-2030) & (US$ Million)
Table 39. Latin America Natural Language Processing (NLP) Market Growth Rate by Country: 2019 VS 2023 VS 2030 (US$ Million)
Table 40. Latin America Natural Language Processing (NLP) Market Size by Country (2019-2024) & (US$ Million)
Table 41. Latin America Natural Language Processing (NLP) Market Size by Country (2025-2030) & (US$ Million)
Table 42. Middle East & Africa Natural Language Processing (NLP) Market Growth Rate by Country: 2019 VS 2023 VS 2030 (US$ Million)
Table 43. Middle East & Africa Natural Language Processing (NLP) Market Size by Country (2019-2024) & (US$ Million)
Table 44. Middle East & Africa Natural Language Processing (NLP) Market Size by Country (2025-2030) & (US$ Million)
Table 45. Microsoft Company Detail
Table 46. Microsoft Business Overview
Table 47. Microsoft Natural Language Processing (NLP) Product
Table 48. Microsoft Revenue in Natural Language Processing (NLP) Business (2017-2022) & (US$ Million)
Table 49. Microsoft Recent Development
Table 50. IBM Company Detail
Table 51. IBM Business Overview
Table 52. IBM Natural Language Processing (NLP) Product
Table 53. IBM Revenue in Natural Language Processing (NLP) Business (2017-2022) & (US$ Million)
Table 54. IBM Recent Development
Table 55. 3M Company Detail
Table 56. 3M Business Overview
Table 57. 3M Natural Language Processing (NLP) Product
Table 58. 3M Revenue in Natural Language Processing (NLP) Business (2017-2022) & (US$ Million)
Table 59. 3M Recent Development
Table 60. Amazon AWS Company Detail
Table 61. Amazon AWS Business Overview
Table 62. Amazon AWS Natural Language Processing (NLP) Product
Table 63. Amazon AWS Revenue in Natural Language Processing (NLP) Business (2017-2022) & (US$ Million)
Table 64. Amazon AWS Recent Development
Table 65. SAS Company Detail
Table 66. SAS Business Overview
Table 67. SAS Natural Language Processing (NLP) Product
Table 68. SAS Revenue in Natural Language Processing (NLP) Business (2017-2022) & (US$ Million)
Table 69. SAS Recent Development
Table 70. Google Company Detail
Table 71. Google Business Overview
Table 72. Google Natural Language Processing (NLP) Product
Table 73. Google Revenue in Natural Language Processing (NLP) Business (2017-2022) & (US$ Million)
Table 74. Google Recent Development
Table 75. Appen Company Detail
Table 76. Appen Business Overview
Table 77. Appen Natural Language Processing (NLP) Product
Table 78. Appen Revenue in Natural Language Processing (NLP) Business (2017-2022) & (US$ Million)
Table 79. Appen Recent Development
Table 80. Dolbey Systems Company Detail
Table 81. Dolbey Systems Business Overview
Table 82. Dolbey Systems Natural Language Processing (NLP) Product
Table 83. Dolbey Systems Revenue in Natural Language Processing (NLP) Business (2017-2022) & (US$ Million)
Table 84. Dolbey Systems Recent Development
Table 85. IQVIA Linguamatics Company Detail
Table 86. IQVIA Linguamatics Business Overview
Table 87. IQVIA Linguamatics Natural Language Processing (NLP) Product
Table 88. IQVIA Linguamatics Revenue in Natural Language Processing (NLP) Business (2017-2022) & (US$ Million)
Table 89. IQVIA Linguamatics Recent Development
Table 90. Verint Systems Company Detail
Table 91. Verint Systems Business Overview
Table 92. Verint Systems Natural Language Processing (NLP) Product
Table 93. Verint Systems Revenue in Natural Language Processing (NLP) Business (2017-2022) & (US$ Million)
Table 94. Verint Systems Recent Development
Table 95. NetBase Quid Company Detail
Table 96. NetBase Quid Business Overview
Table 97. NetBase Quid Natural Language Processing (NLP)Product
Table 98. NetBase Quid Revenue in Natural Language Processing (NLP) Business (2017-2022) & (US$ Million)
Table 99. NetBase Quid Recent Development
Table 100. HPE Company Detail
Table 101. HPE Business Overview
Table 102. HPE Natural Language Processing (NLP)Product
Table 103. HPE Revenue in Natural Language Processing (NLP) Business (2017-2022) & (US$ Million)
Table 104. HPE Recent Development
Table 105. Baidu Company Detail
Table 106. Baidu Business Overview
Table 107. Baidu Natural Language Processing (NLP)Product
Table 108. Baidu Revenue in Natural Language Processing (NLP) Business (2017-2022) & (US$ Million)
Table 109. Baidu Recent Development
Table 110. Huawei Company Detail
Table 111. Huawei Business Overview
Table 112. Huawei Natural Language Processing (NLP)Product
Table 113. Huawei Revenue in Natural Language Processing (NLP) Business (2017-2022) & (US$ Million)
Table 114. Huawei Recent Development
Table 115. Microsoft Company Information
Table 116. Microsoft Business Overview
Table 117. Microsoft Natural Language Processing (NLP) Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million)
Table 118. Microsoft Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million) Portfolio
Table 119. Microsoft Recent Development
Table 120. IBM Company Information
Table 121. IBM Business Overview
Table 122. IBM Natural Language Processing (NLP) Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million)
Table 123. IBM Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million) Portfolio
Table 124. IBM Recent Development
Table 125. 3M Company Information
Table 126. 3M Business Overview
Table 127. 3M Natural Language Processing (NLP) Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million)
Table 128. 3M Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million) Portfolio
Table 129. 3M Recent Development
Table 130. Amazon AWS Company Information
Table 131. Amazon AWS Business Overview
Table 132. Amazon AWS Natural Language Processing (NLP) Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million)
Table 133. Amazon AWS Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million) Portfolio
Table 134. Amazon AWS Recent Development
Table 135. SAS Company Information
Table 136. SAS Business Overview
Table 137. SAS Natural Language Processing (NLP) Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million)
Table 138. SAS Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million) Portfolio
Table 139. SAS Recent Development
Table 140. Google Company Information
Table 141. Google Business Overview
Table 142. Google Natural Language Processing (NLP) Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million)
Table 143. Google Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million) Portfolio
Table 144. Google Recent Development
Table 145. Appen Company Information
Table 146. Appen Business Overview
Table 147. Appen Natural Language Processing (NLP) Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million)
Table 148. Appen Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million) Portfolio
Table 149. Appen Recent Development
Table 150. Dolbey Systems Company Information
Table 151. Dolbey Systems Business Overview
Table 152. Dolbey Systems Natural Language Processing (NLP) Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million)
Table 153. Dolbey Systems Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million) Portfolio
Table 154. Dolbey Systems Recent Development
Table 155. IQVIA Linguamatics Company Information
Table 156. IQVIA Linguamatics Business Overview
Table 157. IQVIA Linguamatics Natural Language Processing (NLP) Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million)
Table 158. IQVIA Linguamatics Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million) Portfolio
Table 159. IQVIA Linguamatics Recent Development
Table 160. Verint Systems Company Information
Table 161. Verint Systems Business Overview
Table 162. Verint Systems Natural Language Processing (NLP) Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million)
Table 163. Verint Systems Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million) Portfolio
Table 164. Verint Systems Recent Development
Table 165. NetBase Quid Company Information
Table 166. NetBase Quid Business Overview
Table 167. NetBase Quid Natural Language Processing (NLP)Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million)
Table 168. NetBase Quid Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million) Portfolio
Table 169. NetBase Quid Recent Development
Table 170. HPE Company Information
Table 171. HPE Business Overview
Table 172. HPE Natural Language Processing (NLP)Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million)
Table 173. HPE Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million) Portfolio
Table 174. HPE Recent Development
Table 175. Baidu Company Information
Table 176. Baidu Business Overview
Table 177. Baidu Natural Language Processing (NLP)Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million)
Table 178. Baidu Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million) Portfolio
Table 179. Baidu Recent Development
Table 180. Huawei Company Information
Table 181. Huawei Business Overview
Table 182. Huawei Natural Language Processing (NLP)Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million)
Table 183. Huawei Revenue in Natural Language Processing (NLP) Business (2019-2024) & (US$ Million) Portfolio

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