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Global Natural Language Processing (NLP) Software Market Research Report 2024
Synopsis
Natural language processing (NLP) allows applications to interact with human language using a deep learning algorithm. NLP algorithms input language and can give a variety of outputs based on the learned required task. These outputs can include automatic summarization, language translation, part-of-speech tagging, parsing or grammatical analysis, and sentiment analysis, among others.
The global Natural Language Processing (NLP) Software market was valued at US$ 2208 million in 2023 and is anticipated to reach US$ 2618.2 million by 2030, witnessing a CAGR of 2.5% during the forecast period 2024-2030.
North American market for Natural Language Processing (NLP) Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Natural Language Processing (NLP) Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Natural Language Processing (NLP) Software in Large Enterprises is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Natural Language Processing (NLP) Software include Google, Explosion AI, IBM, QSR International, Microsoft, Breeze, Conversica and Textual, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Natural Language Processing (NLP) Software, 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) Software.
Report Scope
The Natural Language Processing (NLP) Software 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 Processing (NLP) Software 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 Processing (NLP) Software 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
Google
Explosion AI
IBM
QSR International
Microsoft
Breeze
Conversica
Textual
Segment by Type
On-Premises
Cloud Based
Segment by Application
Large Enterprises
SMEs
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 Processing (NLP) Software 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 processing (NLP) allows applications to interact with human language using a deep learning algorithm. NLP algorithms input language and can give a variety of outputs based on the learned required task. These outputs can include automatic summarization, language translation, part-of-speech tagging, parsing or grammatical analysis, and sentiment analysis, among others.
The global Natural Language Processing (NLP) Software market was valued at US$ 2208 million in 2023 and is anticipated to reach US$ 2618.2 million by 2030, witnessing a CAGR of 2.5% during the forecast period 2024-2030.
North American market for Natural Language Processing (NLP) Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Natural Language Processing (NLP) Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Natural Language Processing (NLP) Software in Large Enterprises is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Natural Language Processing (NLP) Software include Google, Explosion AI, IBM, QSR International, Microsoft, Breeze, Conversica and Textual, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Natural Language Processing (NLP) Software, 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) Software.
Report Scope
The Natural Language Processing (NLP) Software 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 Processing (NLP) Software 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 Processing (NLP) Software 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
Explosion AI
IBM
QSR International
Microsoft
Breeze
Conversica
Textual
Segment by Type
On-Premises
Cloud Based
Segment by Application
Large Enterprises
SMEs
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 Processing (NLP) Software 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 Processing (NLP) Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On-Premises
1.2.3 Cloud Based
1.3 Market by Application
1.3.1 Global Natural Language Processing (NLP) Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Natural Language Processing (NLP) Software Market Perspective (2019-2030)
2.2 Natural Language Processing (NLP) Software Growth Trends by Region
2.2.1 Global Natural Language Processing (NLP) Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Natural Language Processing (NLP) Software Historic Market Size by Region (2019-2024)
2.2.3 Natural Language Processing (NLP) Software Forecasted Market Size by Region (2025-2030)
2.3 Natural Language Processing (NLP) Software Market Dynamics
2.3.1 Natural Language Processing (NLP) Software Industry Trends
2.3.2 Natural Language Processing (NLP) Software Market Drivers
2.3.3 Natural Language Processing (NLP) Software Market Challenges
2.3.4 Natural Language Processing (NLP) Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Natural Language Processing (NLP) Software Players by Revenue
3.1.1 Global Top Natural Language Processing (NLP) Software Players by Revenue (2019-2024)
3.1.2 Global Natural Language Processing (NLP) Software Revenue Market Share by Players (2019-2024)
3.2 Global Natural Language Processing (NLP) Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Natural Language Processing (NLP) Software Revenue
3.4 Global Natural Language Processing (NLP) Software Market Concentration Ratio
3.4.1 Global Natural Language Processing (NLP) Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Natural Language Processing (NLP) Software Revenue in 2023
3.5 Natural Language Processing (NLP) Software Key Players Head office and Area Served
3.6 Key Players Natural Language Processing (NLP) Software Product Solution and Service
3.7 Date of Enter into Natural Language Processing (NLP) Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Natural Language Processing (NLP) Software Breakdown Data by Type
4.1 Global Natural Language Processing (NLP) Software Historic Market Size by Type (2019-2024)
4.2 Global Natural Language Processing (NLP) Software Forecasted Market Size by Type (2025-2030)
5 Natural Language Processing (NLP) Software Breakdown Data by Application
5.1 Global Natural Language Processing (NLP) Software Historic Market Size by Application (2019-2024)
5.2 Global Natural Language Processing (NLP) Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Natural Language Processing (NLP) Software Market Size (2019-2030)
6.2 North America Natural Language Processing (NLP) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Natural Language Processing (NLP) Software Market Size by Country (2019-2024)
6.4 North America Natural Language Processing (NLP) Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Natural Language Processing (NLP) Software Market Size (2019-2030)
7.2 Europe Natural Language Processing (NLP) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Natural Language Processing (NLP) Software Market Size by Country (2019-2024)
7.4 Europe Natural Language Processing (NLP) Software 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 Processing (NLP) Software Market Size (2019-2030)
8.2 Asia-Pacific Natural Language Processing (NLP) Software Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Natural Language Processing (NLP) Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Natural Language Processing (NLP) Software 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 Processing (NLP) Software Market Size (2019-2030)
9.2 Latin America Natural Language Processing (NLP) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Natural Language Processing (NLP) Software Market Size by Country (2019-2024)
9.4 Latin America Natural Language Processing (NLP) Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Natural Language Processing (NLP) Software Market Size (2019-2030)
10.2 Middle East & Africa Natural Language Processing (NLP) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Natural Language Processing (NLP) Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Natural Language Processing (NLP) Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Google
11.1.1 Google Company Detail
11.1.2 Google Business Overview
11.1.3 Google Natural Language Processing (NLP) Software Introduction
11.1.4 Google Revenue in Natural Language Processing (NLP) Software Business (2019-2024)
11.1.5 Google Recent Development
11.2 Explosion AI
11.2.1 Explosion AI Company Detail
11.2.2 Explosion AI Business Overview
11.2.3 Explosion AI Natural Language Processing (NLP) Software Introduction
11.2.4 Explosion AI Revenue in Natural Language Processing (NLP) Software Business (2019-2024)
11.2.5 Explosion AI Recent Development
11.3 IBM
11.3.1 IBM Company Detail
11.3.2 IBM Business Overview
11.3.3 IBM Natural Language Processing (NLP) Software Introduction
11.3.4 IBM Revenue in Natural Language Processing (NLP) Software Business (2019-2024)
11.3.5 IBM Recent Development
11.4 QSR International
11.4.1 QSR International Company Detail
11.4.2 QSR International Business Overview
11.4.3 QSR International Natural Language Processing (NLP) Software Introduction
11.4.4 QSR International Revenue in Natural Language Processing (NLP) Software Business (2019-2024)
11.4.5 QSR International Recent Development
11.5 Microsoft
11.5.1 Microsoft Company Detail
11.5.2 Microsoft Business Overview
11.5.3 Microsoft Natural Language Processing (NLP) Software Introduction
11.5.4 Microsoft Revenue in Natural Language Processing (NLP) Software Business (2019-2024)
11.5.5 Microsoft Recent Development
11.6 Breeze
11.6.1 Breeze Company Detail
11.6.2 Breeze Business Overview
11.6.3 Breeze Natural Language Processing (NLP) Software Introduction
11.6.4 Breeze Revenue in Natural Language Processing (NLP) Software Business (2019-2024)
11.6.5 Breeze Recent Development
11.7 Conversica
11.7.1 Conversica Company Detail
11.7.2 Conversica Business Overview
11.7.3 Conversica Natural Language Processing (NLP) Software Introduction
11.7.4 Conversica Revenue in Natural Language Processing (NLP) Software Business (2019-2024)
11.7.5 Conversica Recent Development
11.8 Textual
11.8.1 Textual Company Detail
11.8.2 Textual Business Overview
11.8.3 Textual Natural Language Processing (NLP) Software Introduction
11.8.4 Textual Revenue in Natural Language Processing (NLP) Software Business (2019-2024)
11.8.5 Textual 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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