Global Natural Language Understanding (NLU) Market Research Report 2023

Publication ID:

PB510240540

Publication Date:

October 27, 2023

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

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 is projected to reach US$ 2535.5 million in 2029, increasing from US$ 1017 million in 2022, with the CAGR of 13.5% during the period of 2023 to 2029.
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.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Natural Language Understanding (NLU) market with multiple angles, which provides sufficient supports to readers鈥� strategy and decision making.
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
The Natural Language Understanding (NLU) report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies鈥� Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies鈥� Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 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: 2018 VS 2022 VS 2029
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: 2018 VS 2022 VS 2029
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 (2018-2029)
2.2 Natural Language Understanding (NLU) Growth Trends by Region
2.2.1 Global Natural Language Understanding (NLU) Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Natural Language Understanding (NLU) Historic Market Size by Region (2018-2023)
2.2.3 Natural Language Understanding (NLU) Forecasted Market Size by Region (2024-2029)
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 (2018-2023)
3.1.2 Global Natural Language Understanding (NLU) Revenue Market Share by Players (2018-2023)
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 2022
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 (2018-2023)
4.2 Global Natural Language Understanding (NLU) Forecasted Market Size by Type (2024-2029)
5 Natural Language Understanding (NLU) Breakdown Data by Application
5.1 Global Natural Language Understanding (NLU) Historic Market Size by Application (2018-2023)
5.2 Global Natural Language Understanding (NLU) Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Natural Language Understanding (NLU) Market Size (2018-2029)
6.2 North America Natural Language Understanding (NLU) Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Natural Language Understanding (NLU) Market Size by Country (2018-2023)
6.4 North America Natural Language Understanding (NLU) Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Natural Language Understanding (NLU) Market Size (2018-2029)
7.2 Europe Natural Language Understanding (NLU) Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Natural Language Understanding (NLU) Market Size by Country (2018-2023)
7.4 Europe Natural Language Understanding (NLU) Market Size by Country (2024-2029)
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 (2018-2029)
8.2 Asia-Pacific Natural Language Understanding (NLU) Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Natural Language Understanding (NLU) Market Size by Region (2018-2023)
8.4 Asia-Pacific Natural Language Understanding (NLU) Market Size by Region (2024-2029)
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 (2018-2029)
9.2 Latin America Natural Language Understanding (NLU) Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Natural Language Understanding (NLU) Market Size by Country (2018-2023)
9.4 Latin America Natural Language Understanding (NLU) Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Natural Language Understanding (NLU) Market Size (2018-2029)
10.2 Middle East & Africa Natural Language Understanding (NLU) Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Natural Language Understanding (NLU) Market Size by Country (2018-2023)
10.4 Middle East & Africa Natural Language Understanding (NLU) Market Size by Country (2024-2029)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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 (2018-2023)
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

Companies Mentioned:

IBM Watson
Nuance Communications
Amazon AWS
Microsoft
SAS
Idiap
The Aspect NLU Lab

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