Global Natural Language Processing (NLP) in Healthcare Supply, Demand and Key Producers, 2026-2032
Description
The global Natural Language Processing (NLP) in Healthcare market size is expected to reach $ 3434 million by 2032, rising at a market growth of 13.3% CAGR during the forecast period (2026-2032).
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 ultimate objective of NLP is to read, decipher, understand, and make sense of the human languages in a manner that is valuable. Most NLP techniques rely on machine learning to derive meaning from human languages.
For healthcare use, NLP is used to improve patient engagement and bring in efficiency in decision-making capabilities, it can also convert complex clinical narratives into actionable data points and insights.
Natural Language Processing (NLP) is first developed in the 1950s, it has blossomed over the past 25 years with the availability of cheap, plentiful, and powerful computers working in parallel fashion.
Healthcare industry is a unique industry that need put more effort on the application of NLP, it is because in practice, off-the-shelf NLP libraries and algorithms built for English will fail miserably on this “different language” in the health care industry.
For example, SoB in healthcare means short of breath. If you don’t know that, it is hard to understand one patient’s the report or document then difficult to make decision.
At the same time, there are research show that about 80% of medical data is showed in unstructured format, which need to get structured data conversion, so NLP in healthcare is an a very promising but very challenging industry that requires specialized medical language and text services.
This report studies the global Natural Language Processing (NLP) in Healthcare demand, key companies, and key regions.
This report is a detailed and comprehensive analysis of the world market for Natural Language Processing (NLP) in Healthcare, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2025 as the base year. This report explores demand trends and competition, as well as details the characteristics of Natural Language Processing (NLP) in Healthcare that contribute to its increasing demand across many markets.
Highlights and key features of the study
Global Natural Language Processing (NLP) in Healthcare total market, 2021-2032, (USD Million)
Global Natural Language Processing (NLP) in Healthcare total market by region & country, CAGR, 2021-2032, (USD Million)
U.S. VS China: Natural Language Processing (NLP) in Healthcare total market, key domestic companies, and share, (USD Million)
Global Natural Language Processing (NLP) in Healthcare revenue by player, revenue and market share 2021-2026, (USD Million)
Global Natural Language Processing (NLP) in Healthcare total market by Type, CAGR, 2021-2032, (USD Million)
Global Natural Language Processing (NLP) in Healthcare total market by Application, CAGR, 2021-2032, (USD Million)
This report profiles major 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 Solventum, Linguamatics, Amazon AWS, SAS, IBM, Microsoft (Nuance), Averbis, Edifecs (Health Fidelity), Dolbey Systems, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the world Natural Language Processing (NLP) in Healthcare market
Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2021-2032 by year with 2025 as the base year, 2026 as the estimate year, and 2027-2032 as the forecast year.
Global Natural Language Processing (NLP) in Healthcare Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World
Global Natural Language Processing (NLP) in Healthcare Market, Segmentation by Type:
Machine Translation
Information Extraction
Automatic Summarization
Text and Voice Processing
Other
Global Natural Language Processing (NLP) in Healthcare Market, Segmentation by Application:
Electronic Health Records (EHR)
Computer-Assisted Coding (CAC)
Clinician Document
Other
Companies Profiled:
Solventum
Linguamatics
Amazon AWS
SAS
IBM
Microsoft (Nuance)
Averbis
Edifecs (Health Fidelity)
Dolbey Systems
Key Questions Answered
1. How big is the global Natural Language Processing (NLP) in Healthcare market?
2. What is the demand of the global Natural Language Processing (NLP) in Healthcare market?
3. What is the year over year growth of the global Natural Language Processing (NLP) in Healthcare market?
4. What is the total value of the global Natural Language Processing (NLP) in Healthcare market?
5. Who are the Major Players in the global Natural Language Processing (NLP) in Healthcare market?
6. What are the growth factors driving the market demand?
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 ultimate objective of NLP is to read, decipher, understand, and make sense of the human languages in a manner that is valuable. Most NLP techniques rely on machine learning to derive meaning from human languages.
For healthcare use, NLP is used to improve patient engagement and bring in efficiency in decision-making capabilities, it can also convert complex clinical narratives into actionable data points and insights.
Natural Language Processing (NLP) is first developed in the 1950s, it has blossomed over the past 25 years with the availability of cheap, plentiful, and powerful computers working in parallel fashion.
Healthcare industry is a unique industry that need put more effort on the application of NLP, it is because in practice, off-the-shelf NLP libraries and algorithms built for English will fail miserably on this “different language” in the health care industry.
For example, SoB in healthcare means short of breath. If you don’t know that, it is hard to understand one patient’s the report or document then difficult to make decision.
At the same time, there are research show that about 80% of medical data is showed in unstructured format, which need to get structured data conversion, so NLP in healthcare is an a very promising but very challenging industry that requires specialized medical language and text services.
This report studies the global Natural Language Processing (NLP) in Healthcare demand, key companies, and key regions.
This report is a detailed and comprehensive analysis of the world market for Natural Language Processing (NLP) in Healthcare, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2025 as the base year. This report explores demand trends and competition, as well as details the characteristics of Natural Language Processing (NLP) in Healthcare that contribute to its increasing demand across many markets.
Highlights and key features of the study
Global Natural Language Processing (NLP) in Healthcare total market, 2021-2032, (USD Million)
Global Natural Language Processing (NLP) in Healthcare total market by region & country, CAGR, 2021-2032, (USD Million)
U.S. VS China: Natural Language Processing (NLP) in Healthcare total market, key domestic companies, and share, (USD Million)
Global Natural Language Processing (NLP) in Healthcare revenue by player, revenue and market share 2021-2026, (USD Million)
Global Natural Language Processing (NLP) in Healthcare total market by Type, CAGR, 2021-2032, (USD Million)
Global Natural Language Processing (NLP) in Healthcare total market by Application, CAGR, 2021-2032, (USD Million)
This report profiles major 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 Solventum, Linguamatics, Amazon AWS, SAS, IBM, Microsoft (Nuance), Averbis, Edifecs (Health Fidelity), Dolbey Systems, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the world Natural Language Processing (NLP) in Healthcare market
Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2021-2032 by year with 2025 as the base year, 2026 as the estimate year, and 2027-2032 as the forecast year.
Global Natural Language Processing (NLP) in Healthcare Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World
Global Natural Language Processing (NLP) in Healthcare Market, Segmentation by Type:
Machine Translation
Information Extraction
Automatic Summarization
Text and Voice Processing
Other
Global Natural Language Processing (NLP) in Healthcare Market, Segmentation by Application:
Electronic Health Records (EHR)
Computer-Assisted Coding (CAC)
Clinician Document
Other
Companies Profiled:
Solventum
Linguamatics
Amazon AWS
SAS
IBM
Microsoft (Nuance)
Averbis
Edifecs (Health Fidelity)
Dolbey Systems
Key Questions Answered
1. How big is the global Natural Language Processing (NLP) in Healthcare market?
2. What is the demand of the global Natural Language Processing (NLP) in Healthcare market?
3. What is the year over year growth of the global Natural Language Processing (NLP) in Healthcare market?
4. What is the total value of the global Natural Language Processing (NLP) in Healthcare market?
5. Who are the Major Players in the global Natural Language Processing (NLP) in Healthcare market?
6. What are the growth factors driving the market demand?
Table of Contents
107 Pages
- 1 Supply Summary
- 2 Demand Summary
- 3 World Natural Language Processing (NLP) in Healthcare Companies Competitive Analysis
- 4 United States VS China VS Rest of World (by Headquarter Location)
- 5 Market Analysis by Type
- 6 Market Analysis by Application
- 7 Company Profiles
- 8 Industry Chain Analysis
- 9 Research Findings and Conclusion
- 10 Appendix
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