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Global Natural Language Understanding (NLU) Market Research Report 2024
Synopsis
Natural language understanding (NLU) is a subfield of natural language processing (NLP) that focuses on the ability of machines to comprehend and interpret natural language input. NLU involves analyzing the meaning, context, and intent of natural language text or speech, and converting it into a structured representation that can be used for further processing or reasoning. NLU enables machines to perform various tasks such as question answering, information extraction, sentiment analysis, text summarization, dialogue management, and natural language generation.
The global Natural Language Understanding (NLU) market was valued at US$ 1017 million in 2023 and is anticipated to reach US$ 2535.5 million by 2030, witnessing a CAGR of 13.5% during the forecast period 2024-2030.
The growth of the market is driven by factors such as the increasing demand for conversational AI applications, the advancement of deep learning and neural network technologies, the availability of large-scale data and cloud computing resources, and the emergence of new domains and use cases for natural language understanding. Some of the challenges faced by the market are the complexity and diversity of natural languages, the lack of standardization and interoperability among natural language understanding products, and the ethical and social implications of natural language understanding.
This report aims to provide a comprehensive presentation of the global market for Natural Language Understanding (NLU), 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 (NLU).
Report Scope
The Natural Language Understanding (NLU) 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 (NLU) market comprehensively. Regional market sizes, concerning products by Type, 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 (NLU) 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 Type, by Application, and by regions.
Market Segmentation
By Company
IBM Watson
Nuance Communications
Amazon AWS
Microsoft
SAS
Idiap
The Aspect NLU Lab
Segment by Type
Machine Translation
Voice-First Technologies
Chatbots
Conversational Search
Segment by Application
Manufacturing
Healthcare
Other
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 Type, 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 (NLU) companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 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 subfield of natural language processing (NLP) that focuses on the ability of machines to comprehend and interpret natural language input. NLU involves analyzing the meaning, context, and intent of natural language text or speech, and converting it into a structured representation that can be used for further processing or reasoning. NLU enables machines to perform various tasks such as question answering, information extraction, sentiment analysis, text summarization, dialogue management, and natural language generation.
The global Natural Language Understanding (NLU) market was valued at US$ 1017 million in 2023 and is anticipated to reach US$ 2535.5 million by 2030, witnessing a CAGR of 13.5% during the forecast period 2024-2030.
The growth of the market is driven by factors such as the increasing demand for conversational AI applications, the advancement of deep learning and neural network technologies, the availability of large-scale data and cloud computing resources, and the emergence of new domains and use cases for natural language understanding. Some of the challenges faced by the market are the complexity and diversity of natural languages, the lack of standardization and interoperability among natural language understanding products, and the ethical and social implications of natural language understanding.
This report aims to provide a comprehensive presentation of the global market for Natural Language Understanding (NLU), 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 (NLU).
Report Scope
The Natural Language Understanding (NLU) 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 (NLU) market comprehensively. Regional market sizes, concerning products by Type, 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 (NLU) 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 Type, by Application, and by regions.
Market Segmentation
By Company
IBM Watson
Nuance Communications
Amazon AWS
Microsoft
SAS
Idiap
The Aspect NLU Lab
Segment by Type
Machine Translation
Voice-First Technologies
Chatbots
Conversational Search
Segment by Application
Manufacturing
Healthcare
Other
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 Type, 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 (NLU) companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 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 Type
1.2.1 Global Natural Language Understanding (NLU) Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Machine Translation
1.2.3 Voice-First Technologies
1.2.4 Chatbots
1.2.5 Conversational Search
1.3 Market by Application
1.3.1 Global Natural Language Understanding (NLU) Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Manufacturing
1.3.3 Healthcare
1.3.4 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Natural Language Understanding (NLU) Market Perspective (2019-2030)
2.2 Natural Language Understanding (NLU) Growth Trends by Region
2.2.1 Global Natural Language Understanding (NLU) Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Natural Language Understanding (NLU) Historic Market Size by Region (2019-2024)
2.2.3 Natural Language Understanding (NLU) Forecasted Market Size by Region (2025-2030)
2.3 Natural Language Understanding (NLU) Market Dynamics
2.3.1 Natural Language Understanding (NLU) Industry Trends
2.3.2 Natural Language Understanding (NLU) Market Drivers
2.3.3 Natural Language Understanding (NLU) Market Challenges
2.3.4 Natural Language Understanding (NLU) Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Natural Language Understanding (NLU) Players by Revenue
3.1.1 Global Top Natural Language Understanding (NLU) Players by Revenue (2019-2024)
3.1.2 Global Natural Language Understanding (NLU) Revenue Market Share by Players (2019-2024)
3.2 Global Natural Language Understanding (NLU) Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Natural Language Understanding (NLU) Revenue
3.4 Global Natural Language Understanding (NLU) Market Concentration Ratio
3.4.1 Global Natural Language Understanding (NLU) Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Natural Language Understanding (NLU) Revenue in 2023
3.5 Natural Language Understanding (NLU) Key Players Head office and Area Served
3.6 Key Players Natural Language Understanding (NLU) Product Solution and Service
3.7 Date of Enter into Natural Language Understanding (NLU) Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Natural Language Understanding (NLU) Breakdown Data by Type
4.1 Global Natural Language Understanding (NLU) Historic Market Size by Type (2019-2024)
4.2 Global Natural Language Understanding (NLU) Forecasted Market Size by Type (2025-2030)
5 Natural Language Understanding (NLU) Breakdown Data by Application
5.1 Global Natural Language Understanding (NLU) Historic Market Size by Application (2019-2024)
5.2 Global Natural Language Understanding (NLU) Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Natural Language Understanding (NLU) Market Size (2019-2030)
6.2 North America Natural Language Understanding (NLU) Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Natural Language Understanding (NLU) Market Size by Country (2019-2024)
6.4 North America Natural Language Understanding (NLU) Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Natural Language Understanding (NLU) Market Size (2019-2030)
7.2 Europe Natural Language Understanding (NLU) Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Natural Language Understanding (NLU) Market Size by Country (2019-2024)
7.4 Europe Natural Language Understanding (NLU) 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 (NLU) Market Size (2019-2030)
8.2 Asia-Pacific Natural Language Understanding (NLU) Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Natural Language Understanding (NLU) Market Size by Region (2019-2024)
8.4 Asia-Pacific Natural Language Understanding (NLU) 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 (NLU) Market Size (2019-2030)
9.2 Latin America Natural Language Understanding (NLU) Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Natural Language Understanding (NLU) Market Size by Country (2019-2024)
9.4 Latin America Natural Language Understanding (NLU) Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Natural Language Understanding (NLU) Market Size (2019-2030)
10.2 Middle East & Africa Natural Language Understanding (NLU) Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Natural Language Understanding (NLU) Market Size by Country (2019-2024)
10.4 Middle East & Africa Natural Language Understanding (NLU) Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM Watson
11.1.1 IBM Watson Company Detail
11.1.2 IBM Watson Business Overview
11.1.3 IBM Watson Natural Language Understanding (NLU) Introduction
11.1.4 IBM Watson Revenue in Natural Language Understanding (NLU) Business (2019-2024)
11.1.5 IBM Watson Recent Development
11.2 Nuance Communications
11.2.1 Nuance Communications Company Detail
11.2.2 Nuance Communications Business Overview
11.2.3 Nuance Communications Natural Language Understanding (NLU) Introduction
11.2.4 Nuance Communications Revenue in Natural Language Understanding (NLU) Business (2019-2024)
11.2.5 Nuance Communications Recent Development
11.3 Amazon AWS
11.3.1 Amazon AWS Company Detail
11.3.2 Amazon AWS Business Overview
11.3.3 Amazon AWS Natural Language Understanding (NLU) Introduction
11.3.4 Amazon AWS Revenue in Natural Language Understanding (NLU) Business (2019-2024)
11.3.5 Amazon AWS Recent Development
11.4 Microsoft
11.4.1 Microsoft Company Detail
11.4.2 Microsoft Business Overview
11.4.3 Microsoft Natural Language Understanding (NLU) Introduction
11.4.4 Microsoft Revenue in Natural Language Understanding (NLU) Business (2019-2024)
11.4.5 Microsoft Recent Development
11.5 SAS
11.5.1 SAS Company Detail
11.5.2 SAS Business Overview
11.5.3 SAS Natural Language Understanding (NLU) Introduction
11.5.4 SAS Revenue in Natural Language Understanding (NLU) Business (2019-2024)
11.5.5 SAS Recent Development
11.6 Idiap
11.6.1 Idiap Company Detail
11.6.2 Idiap Business Overview
11.6.3 Idiap Natural Language Understanding (NLU) Introduction
11.6.4 Idiap Revenue in Natural Language Understanding (NLU) Business (2019-2024)
11.6.5 Idiap Recent Development
11.7 The Aspect NLU Lab
11.7.1 The Aspect NLU Lab Company Detail
11.7.2 The Aspect NLU Lab Business Overview
11.7.3 The Aspect NLU Lab Natural Language Understanding (NLU) Introduction
11.7.4 The Aspect NLU Lab Revenue in Natural Language Understanding (NLU) Business (2019-2024)
11.7.5 The Aspect NLU Lab 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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