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Global Natural Language Understanding Technology Market Research Report 2025
Synopsis
Natural language understanding (NLU) is a branch of artificial intelligence (AI) that uses computer software to understand input in the form of sentences using text or speech. NLU enables human-computer interaction by analyzing language versus just words. In this report, NLP hardware is out of the scope statistics of report, such as translation pens, etc.
NLU enables computers to understand the sentiments expressed in a natural language used by humans, such as English, French or Mandarin, without the formalized syntax of computer languages. NLU also enables computers to communicate back to humans in their own languages.
The global Natural Language Understanding Technology market was valued at US$ 2293.3 million in 2023 and is anticipated to reach US$ 12510 million by 2030, witnessing a CAGR of 28.7% during the forecast period 2024-2030.
In the global market, the key players of Natural Language Understanding Technology (NLUT) are mainly Microsoft, IBM, and Google. The top three players within this industry account for about 30% of the market share. North America, Europe, Japan, and China are the major manufacturing regions for this product, with North America accounting for about 55% of the global market share. The product can be categorised into cloud and on premise products on the basis of product type. The product is widely used in B-side customer base, C-side customer base, government and defence.
This report aims to provide a comprehensive presentation of the global market for Natural Language Understanding Technology, 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 Understanding Technology.
Report Scope
The Natural Language Understanding Technology market size, estimations, and forecasts are provided in terms of 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 Understanding Technology market comprehensively. Regional market sizes, concerning products by Technology, by Application, and by players, are also provided.
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 Understanding Technology companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Technology, by Application, and by regions.
Market Segmentation
By Company
Microsoft
IBM
Google
AWS
Baidu
RWS
Lionbridge Technologies
3M
SAS Institute
Tencent Cloud TMT
Alibaba Cloud
OpenAI
Segment by Technology
Cloud Based
On Premise
Segment by Application
B-end Customer
C-end Customer
Government and Defense
By Region
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
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Technology, by 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 2: 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 3: Detailed analysis of Natural Language Understanding Technology companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Technology, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by 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 6, 7, 8, 9, 10: 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 11: 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 12: The main points and conclusions of the report.
Natural language understanding (NLU) is a branch of artificial intelligence (AI) that uses computer software to understand input in the form of sentences using text or speech. NLU enables human-computer interaction by analyzing language versus just words. In this report, NLP hardware is out of the scope statistics of report, such as translation pens, etc.
NLU enables computers to understand the sentiments expressed in a natural language used by humans, such as English, French or Mandarin, without the formalized syntax of computer languages. NLU also enables computers to communicate back to humans in their own languages.
The global Natural Language Understanding Technology market was valued at US$ 2293.3 million in 2023 and is anticipated to reach US$ 12510 million by 2030, witnessing a CAGR of 28.7% during the forecast period 2024-2030.
In the global market, the key players of Natural Language Understanding Technology (NLUT) are mainly Microsoft, IBM, and Google. The top three players within this industry account for about 30% of the market share. North America, Europe, Japan, and China are the major manufacturing regions for this product, with North America accounting for about 55% of the global market share. The product can be categorised into cloud and on premise products on the basis of product type. The product is widely used in B-side customer base, C-side customer base, government and defence.
This report aims to provide a comprehensive presentation of the global market for Natural Language Understanding Technology, 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 Understanding Technology.
Report Scope
The Natural Language Understanding Technology market size, estimations, and forecasts are provided in terms of 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 Understanding Technology market comprehensively. Regional market sizes, concerning products by Technology, by Application, and by players, are also provided.
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 Understanding Technology companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Technology, by Application, and by regions.
Market Segmentation
By Company
Microsoft
IBM
AWS
Baidu
RWS
Lionbridge Technologies
3M
SAS Institute
Tencent Cloud TMT
Alibaba Cloud
OpenAI
Segment by Technology
Cloud Based
On Premise
Segment by Application
B-end Customer
C-end Customer
Government and Defense
By Region
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
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Technology, by 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 2: 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 3: Detailed analysis of Natural Language Understanding Technology companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Technology, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by 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 6, 7, 8, 9, 10: 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 11: 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 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Technology
1.2.1 Global Natural Language Understanding Technology Market Size Growth Rate by Technology: 2019 VS 2023 VS 2030
1.2.2 Cloud Based
1.2.3 On Premise
1.3 Market by Application
1.3.1 Global Natural Language Understanding Technology Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 B-end Customer
1.3.3 C-end Customer
1.3.4 Government and Defense
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Natural Language Understanding Technology Market Perspective (2019-2030)
2.2 Natural Language Understanding Technology Growth Trends by Region
2.2.1 Global Natural Language Understanding Technology Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Natural Language Understanding Technology Historic Market Size by Region (2019-2024)
2.2.3 Natural Language Understanding Technology Forecasted Market Size by Region (2025-2030)
2.3 Natural Language Understanding Technology Market Dynamics
2.3.1 Natural Language Understanding Technology Industry Trends
2.3.2 Natural Language Understanding Technology Market Drivers
2.3.3 Natural Language Understanding Technology Market Challenges
2.3.4 Natural Language Understanding Technology Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Natural Language Understanding Technology Players by Revenue
3.1.1 Global Top Natural Language Understanding Technology Players by Revenue (2019-2024)
3.1.2 Global Natural Language Understanding Technology Revenue Market Share by Players (2019-2024)
3.2 Global Natural Language Understanding Technology Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Natural Language Understanding Technology Revenue
3.4 Global Natural Language Understanding Technology Market Concentration Ratio
3.4.1 Global Natural Language Understanding Technology Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Natural Language Understanding Technology Revenue in 2023
3.5 Natural Language Understanding Technology Key Players Head office and Area Served
3.6 Key Players Natural Language Understanding Technology Product Solution and Service
3.7 Date of Enter into Natural Language Understanding Technology Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Natural Language Understanding Technology Breakdown Data by Technology
4.1 Global Natural Language Understanding Technology Historic Market Size by Technology (2019-2024)
4.2 Global Natural Language Understanding Technology Forecasted Market Size by Technology (2025-2030)
5 Natural Language Understanding Technology Breakdown Data by Application
5.1 Global Natural Language Understanding Technology Historic Market Size by Application (2019-2024)
5.2 Global Natural Language Understanding Technology Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Natural Language Understanding Technology Market Size (2019-2030)
6.2 North America Natural Language Understanding Technology Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Natural Language Understanding Technology Market Size by Country (2019-2024)
6.4 North America Natural Language Understanding Technology Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Natural Language Understanding Technology Market Size (2019-2030)
7.2 Europe Natural Language Understanding Technology Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Natural Language Understanding Technology Market Size by Country (2019-2024)
7.4 Europe Natural Language Understanding Technology Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Natural Language Understanding Technology Market Size (2019-2030)
8.2 Asia-Pacific Natural Language Understanding Technology Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Natural Language Understanding Technology Market Size by Region (2019-2024)
8.4 Asia-Pacific Natural Language Understanding Technology Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Natural Language Understanding Technology Market Size (2019-2030)
9.2 Latin America Natural Language Understanding Technology Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Natural Language Understanding Technology Market Size by Country (2019-2024)
9.4 Latin America Natural Language Understanding Technology Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Natural Language Understanding Technology Market Size (2019-2030)
10.2 Middle East & Africa Natural Language Understanding Technology Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Natural Language Understanding Technology Market Size by Country (2019-2024)
10.4 Middle East & Africa Natural Language Understanding Technology Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Microsoft
11.1.1 Microsoft Company Detail
11.1.2 Microsoft Business Overview
11.1.3 Microsoft Natural Language Understanding Technology Introduction
11.1.4 Microsoft Revenue in Natural Language Understanding Technology Business (2019-2024)
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 Understanding Technology Introduction
11.2.4 IBM Revenue in Natural Language Understanding Technology Business (2019-2024)
11.2.5 IBM Recent Development
11.3 Google
11.3.1 Google Company Detail
11.3.2 Google Business Overview
11.3.3 Google Natural Language Understanding Technology Introduction
11.3.4 Google Revenue in Natural Language Understanding Technology Business (2019-2024)
11.3.5 Google Recent Development
11.4 AWS
11.4.1 AWS Company Detail
11.4.2 AWS Business Overview
11.4.3 AWS Natural Language Understanding Technology Introduction
11.4.4 AWS Revenue in Natural Language Understanding Technology Business (2019-2024)
11.4.5 AWS Recent Development
11.5 Baidu
11.5.1 Baidu Company Detail
11.5.2 Baidu Business Overview
11.5.3 Baidu Natural Language Understanding Technology Introduction
11.5.4 Baidu Revenue in Natural Language Understanding Technology Business (2019-2024)
11.5.5 Baidu Recent Development
11.6 RWS
11.6.1 RWS Company Detail
11.6.2 RWS Business Overview
11.6.3 RWS Natural Language Understanding Technology Introduction
11.6.4 RWS Revenue in Natural Language Understanding Technology Business (2019-2024)
11.6.5 RWS Recent Development
11.7 Lionbridge Technologies
11.7.1 Lionbridge Technologies Company Detail
11.7.2 Lionbridge Technologies Business Overview
11.7.3 Lionbridge Technologies Natural Language Understanding Technology Introduction
11.7.4 Lionbridge Technologies Revenue in Natural Language Understanding Technology Business (2019-2024)
11.7.5 Lionbridge Technologies Recent Development
11.8 3M
11.8.1 3M Company Detail
11.8.2 3M Business Overview
11.8.3 3M Natural Language Understanding Technology Introduction
11.8.4 3M Revenue in Natural Language Understanding Technology Business (2019-2024)
11.8.5 3M Recent Development
11.9 SAS Institute
11.9.1 SAS Institute Company Detail
11.9.2 SAS Institute Business Overview
11.9.3 SAS Institute Natural Language Understanding Technology Introduction
11.9.4 SAS Institute Revenue in Natural Language Understanding Technology Business (2019-2024)
11.9.5 SAS Institute Recent Development
11.10 Tencent Cloud TMT
11.10.1 Tencent Cloud TMT Company Detail
11.10.2 Tencent Cloud TMT Business Overview
11.10.3 Tencent Cloud TMT Natural Language Understanding Technology Introduction
11.10.4 Tencent Cloud TMT Revenue in Natural Language Understanding Technology Business (2019-2024)
11.10.5 Tencent Cloud TMT Recent Development
11.11 Alibaba Cloud
11.11.1 Alibaba Cloud Company Detail
11.11.2 Alibaba Cloud Business Overview
11.11.3 Alibaba Cloud Natural Language Understanding Technology Introduction
11.11.4 Alibaba Cloud Revenue in Natural Language Understanding Technology Business (2019-2024)
11.11.5 Alibaba Cloud Recent Development
11.12 OpenAI
11.12.1 OpenAI Company Detail
11.12.2 OpenAI Business Overview
11.12.3 OpenAI Natural Language Understanding Technology Introduction
11.12.4 OpenAI Revenue in Natural Language Understanding Technology Business (2019-2024)
11.12.5 OpenAI Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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