Global Natural Language Processing (NLP) in Healthcare Market 2025 by Company, Regions, Type and Application, Forecast to 2031
Description
According to our (Global Info Research) latest study, the global Natural Language Processing (NLP) in Healthcare market size was valued at US$ 1261 million in 2024 and is forecast to a readjusted size of USD 4363 million by 2031 with a CAGR of 19.6% during review period.
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++.
The top 3 players held about 54% of the market share, in terms of the globle NLP revenue in 2018.
This report is a detailed and comprehensive analysis for global Natural Language Processing (NLP) in Healthcare market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Natural Language Processing (NLP) in Healthcare market size and forecasts, in consumption value ($ Million), 2020-2031
Global Natural Language Processing (NLP) in Healthcare market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global Natural Language Processing (NLP) in Healthcare market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global Natural Language Processing (NLP) in Healthcare market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Natural Language Processing (NLP) in Healthcare
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Natural Language Processing (NLP) in Healthcare market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include 3M, Linguamatics, Amazon AWS, Nuance Communications, SAS, IBM, Microsoft Corporation, Averbis, Health Fidelity, Dolbey Systems, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Natural Language Processing (NLP) in Healthcare market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Machine Translation
Information Extraction
Automatic Summarization
Text and Voice Processing
Other
Market segment by Application
Electronic Health Records (EHR)
Computer-Assisted Coding (CAC)
Clinician Document
Other
Market segment by players, this report covers
3M
Linguamatics
Amazon AWS
Nuance Communications
SAS
IBM
Microsoft Corporation
Averbis
Health Fidelity
Dolbey Systems
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Natural Language Processing (NLP) in Healthcare product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Natural Language Processing (NLP) in Healthcare, with revenue, gross margin, and global market share of Natural Language Processing (NLP) in Healthcare from 2020 to 2025.
Chapter 3, the Natural Language Processing (NLP) in Healthcare competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and Natural Language Processing (NLP) in Healthcare market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Natural Language Processing (NLP) in Healthcare.
Chapter 13, to describe Natural Language Processing (NLP) in Healthcare research findings and conclusion.
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++.
The top 3 players held about 54% of the market share, in terms of the globle NLP revenue in 2018.
This report is a detailed and comprehensive analysis for global Natural Language Processing (NLP) in Healthcare market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Natural Language Processing (NLP) in Healthcare market size and forecasts, in consumption value ($ Million), 2020-2031
Global Natural Language Processing (NLP) in Healthcare market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global Natural Language Processing (NLP) in Healthcare market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global Natural Language Processing (NLP) in Healthcare market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Natural Language Processing (NLP) in Healthcare
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Natural Language Processing (NLP) in Healthcare market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include 3M, Linguamatics, Amazon AWS, Nuance Communications, SAS, IBM, Microsoft Corporation, Averbis, Health Fidelity, Dolbey Systems, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Natural Language Processing (NLP) in Healthcare market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Machine Translation
Information Extraction
Automatic Summarization
Text and Voice Processing
Other
Market segment by Application
Electronic Health Records (EHR)
Computer-Assisted Coding (CAC)
Clinician Document
Other
Market segment by players, this report covers
3M
Linguamatics
Amazon AWS
Nuance Communications
SAS
IBM
Microsoft Corporation
Averbis
Health Fidelity
Dolbey Systems
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Natural Language Processing (NLP) in Healthcare product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Natural Language Processing (NLP) in Healthcare, with revenue, gross margin, and global market share of Natural Language Processing (NLP) in Healthcare from 2020 to 2025.
Chapter 3, the Natural Language Processing (NLP) in Healthcare competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and Natural Language Processing (NLP) in Healthcare market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Natural Language Processing (NLP) in Healthcare.
Chapter 13, to describe Natural Language Processing (NLP) in Healthcare research findings and conclusion.
Table of Contents
93 Pages
- 1 Market Overview
- 2 Company Profiles
- 3 Market Competition, by Players
- 4 Market Size Segment by Type
- 5 Market Size Segment by Application
- 6 North America
- 7 Europe
- 8 Asia-Pacific
- 9 South America
- 10 Middle East & Africa
- 11 Market Dynamics
- 12 Industry Chain Analysis
- 13 Research Findings and Conclusion
- 14 Appendix
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