Global Natural Language Processing (NLP) in Healthcare Competitive Landscape Professional Research Report 2025
Description
Research Summary
Natural Language Processing (NLP) in healthcare refers to the application of NLP techniques and algorithms to analyze, interpret, and extract meaningful information from healthcare-related texts, such as electronic health records, clinical notes, research articles, and patient-generated data. NLP in healthcare aims to improve clinical workflows, enhance decision-making, enable efficient information retrieval, and support patient care and research activities. NLP techniques can be used for tasks like named entity recognition to identify medical terms and entities, sentiment analysis to understand patient emotions and feedback, information extraction to extract relevant clinical information, text classification to categorize medical documents, and machine translation to facilitate multilingual healthcare communication. By unlocking insights from unstructured textual data, NLP in healthcare has the potential to enhance the accuracy and speed of diagnosis, improve clinical decision support systems, enable personalized medicine approaches, support clinical research, and contribute to overall healthcare delivery and outcomes.
According to DIResearch's in-depth investigation and research, the global Natural Language Processing (NLP) in Healthcare market size was valued at XX Million USD in 2024 and is projected to reach XX Million USD by 2032, with a CAGR of XX% (2025-2032). Notably, the China market has changed rapidly in the past few years. By 2024, China's market size is expected to be XX Million USD, representing approximately XX% of the global market share. By 2032, it is anticipated to grow further to XX Million USD, contributing XX% to the worldwide market share.
The major global manufacturers of Natural Language Processing (NLP) in Healthcare include 3M, Linguamatics, Amazon AWS, Nuance Communications, SAS, IBM, Microsoft Corporation, Health Fidelity, Averbis, Dolbey Systems etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of Natural Language Processing (NLP) in Healthcare. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global Natural Language Processing (NLP) in Healthcare market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, covering the Natural Language Processing (NLP) in Healthcare market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Natural Language Processing (NLP) in Healthcare industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Manufacturers of Natural Language Processing (NLP) in Healthcare Include:
3M
Linguamatics
Amazon AWS
Nuance Communications
SAS
IBM
Microsoft Corporation
Health Fidelity
Averbis
Dolbey Systems
Natural Language Processing (NLP) in Healthcare Product Segment Include:
Machine Translation
Information Extraction
Automatic Summarization
Text and Voice Processing
Others
Natural Language Processing (NLP) in Healthcare Product Application Include:
Electronic Health Records (EHR)
Computer-Assisted Coding (CAC)
Clinician Document
Other
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trends
Chapter 2: Global Natural Language Processing (NLP) in Healthcare Industry PESTEL Analysis
Chapter 3: Global Natural Language Processing (NLP) in Healthcare Industry Porter’s Five Forces Analysis
Chapter 4: Global Natural Language Processing (NLP) in Healthcare Major Regional Market Size and Forecast Analysis
Chapter 5: Global Natural Language Processing (NLP) in Healthcare Market Size and Forecast by Type and Application Analysis
Chapter 6: North America Passenger Natural Language Processing (NLP) in Healthcare Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 7: Europe Natural Language Processing (NLP) in Healthcare Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 8: China Natural Language Processing (NLP) in Healthcare Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 9: APAC (Excl. China) Natural Language Processing (NLP) in Healthcare Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 10: Latin America Natural Language Processing (NLP) in Healthcare Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 11: Middle East and Africa Natural Language Processing (NLP) in Healthcare Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 12: Global Natural Language Processing (NLP) in Healthcare Competitive Analysis of Key Manufacturers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 13: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers
Chapter 15: Research Findings and Conclusion
Chapter 16: Methodology and Data Sources
Natural Language Processing (NLP) in healthcare refers to the application of NLP techniques and algorithms to analyze, interpret, and extract meaningful information from healthcare-related texts, such as electronic health records, clinical notes, research articles, and patient-generated data. NLP in healthcare aims to improve clinical workflows, enhance decision-making, enable efficient information retrieval, and support patient care and research activities. NLP techniques can be used for tasks like named entity recognition to identify medical terms and entities, sentiment analysis to understand patient emotions and feedback, information extraction to extract relevant clinical information, text classification to categorize medical documents, and machine translation to facilitate multilingual healthcare communication. By unlocking insights from unstructured textual data, NLP in healthcare has the potential to enhance the accuracy and speed of diagnosis, improve clinical decision support systems, enable personalized medicine approaches, support clinical research, and contribute to overall healthcare delivery and outcomes.
According to DIResearch's in-depth investigation and research, the global Natural Language Processing (NLP) in Healthcare market size was valued at XX Million USD in 2024 and is projected to reach XX Million USD by 2032, with a CAGR of XX% (2025-2032). Notably, the China market has changed rapidly in the past few years. By 2024, China's market size is expected to be XX Million USD, representing approximately XX% of the global market share. By 2032, it is anticipated to grow further to XX Million USD, contributing XX% to the worldwide market share.
The major global manufacturers of Natural Language Processing (NLP) in Healthcare include 3M, Linguamatics, Amazon AWS, Nuance Communications, SAS, IBM, Microsoft Corporation, Health Fidelity, Averbis, Dolbey Systems etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of Natural Language Processing (NLP) in Healthcare. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global Natural Language Processing (NLP) in Healthcare market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, covering the Natural Language Processing (NLP) in Healthcare market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Natural Language Processing (NLP) in Healthcare industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Manufacturers of Natural Language Processing (NLP) in Healthcare Include:
3M
Linguamatics
Amazon AWS
Nuance Communications
SAS
IBM
Microsoft Corporation
Health Fidelity
Averbis
Dolbey Systems
Natural Language Processing (NLP) in Healthcare Product Segment Include:
Machine Translation
Information Extraction
Automatic Summarization
Text and Voice Processing
Others
Natural Language Processing (NLP) in Healthcare Product Application Include:
Electronic Health Records (EHR)
Computer-Assisted Coding (CAC)
Clinician Document
Other
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trends
Chapter 2: Global Natural Language Processing (NLP) in Healthcare Industry PESTEL Analysis
Chapter 3: Global Natural Language Processing (NLP) in Healthcare Industry Porter’s Five Forces Analysis
Chapter 4: Global Natural Language Processing (NLP) in Healthcare Major Regional Market Size and Forecast Analysis
Chapter 5: Global Natural Language Processing (NLP) in Healthcare Market Size and Forecast by Type and Application Analysis
Chapter 6: North America Passenger Natural Language Processing (NLP) in Healthcare Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 7: Europe Natural Language Processing (NLP) in Healthcare Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 8: China Natural Language Processing (NLP) in Healthcare Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 9: APAC (Excl. China) Natural Language Processing (NLP) in Healthcare Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 10: Latin America Natural Language Processing (NLP) in Healthcare Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 11: Middle East and Africa Natural Language Processing (NLP) in Healthcare Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 12: Global Natural Language Processing (NLP) in Healthcare Competitive Analysis of Key Manufacturers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 13: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers
Chapter 15: Research Findings and Conclusion
Chapter 16: Methodology and Data Sources
Table of Contents
170 Pages
- 1 Natural Language Processing (NLP) in Healthcare Market Overview
- 1.1 Product Definition and Statistical Scope
- 1.2 Natural Language Processing (NLP) in Healthcare Product by Type
- 1.2.1 Machine Translation
- 1.2.2 Information Extraction
- 1.2.3 Automatic Summarization
- 1.2.4 Text and Voice Processing
- 1.2.5 Others
- 1.3 Natural Language Processing (NLP) in Healthcare Product by Application
- 1.3.1 Electronic Health Records (EHR)
- 1.3.2 Computer-Assisted Coding (CAC)
- 1.3.3 Clinician Document
- 1.3.4 Other
- 1.4 Global Natural Language Processing (NLP) in Healthcare Market Size Analysis (2020-2032)
- 1.5 Natural Language Processing (NLP) in Healthcare Market Development Status and Trends
- 1.5.1 Natural Language Processing (NLP) in Healthcare Industry Development Status Analysis
- 1.5.2 Natural Language Processing (NLP) in Healthcare Industry Development Trends Analysis
- 2 Natural Language Processing (NLP) in Healthcare Market PESTEL Analysis
- 2.1 Political Factors Analysis
- 2.2 Economic Factors Analysis
- 2.3 Social Factors Analysis
- 2.4 Technological Factors Analysis
- 2.5 Environmental Factors Analysis
- 2.6 Legal Factors Analysis
- 3 Natural Language Processing (NLP) in Healthcare Market Porter's Five Forces Analysis
- 3.1 Competitive Rivalry
- 3.2 Threat of New Entrants
- 3.3 Bargaining Power of Suppliers
- 3.4 Bargaining Power of Buyers
- 3.5 Threat of Substitutes
- 4 Global Natural Language Processing (NLP) in Healthcare Market Analysis by Regions
- 4.1 Global Natural Language Processing (NLP) in Healthcare Overall Market: 2024 VS 2025 VS 2032
- 4.2 Global Natural Language Processing (NLP) in Healthcare Revenue and Forecast Analysis (2020-2032)
- 4.2.1 Global Natural Language Processing (NLP) in Healthcare Revenue and Market Share by Region (2020-2025)
- 4.2.2 Global Natural Language Processing (NLP) in Healthcare Revenue Forecast by Region (2026-2032)
- 5 Global Natural Language Processing (NLP) in Healthcare Market Size by Type and Application
- 5.1 Global Natural Language Processing (NLP) in Healthcare Market Size by Type (2020-2032)
- 5.2 Global Natural Language Processing (NLP) in Healthcare Market Size by Application (2020-2032)
- 6 North America
- 6.1 North America Natural Language Processing (NLP) in Healthcare Market Size and Growth Rate Analysis (2020-2032)
- 6.2 North America Key Manufacturers Analysis
- 6.3 North America Natural Language Processing (NLP) in Healthcare Market Size by Type
- 6.4 North America Natural Language Processing (NLP) in Healthcare Market Size by Application
- 6.5 North America Natural Language Processing (NLP) in Healthcare Market Size by Country
- 6.5.1 US
- 6.5.2 Canada
- 7 Europe
- 7.1 Europe Natural Language Processing (NLP) in Healthcare Market Size and Growth Rate Analysis (2020-2032)
- 7.2 Europe Key Manufacturers Analysis
- 7.3 Europe Natural Language Processing (NLP) in Healthcare Market Size by Type
- 7.4 Europe Natural Language Processing (NLP) in Healthcare Market Size by Application
- 7.5 Europe Natural Language Processing (NLP) in Healthcare Market Size by Country
- 7.5.1 Germany
- 7.5.2 France
- 7.5.3 United Kingdom
- 7.5.4 Italy
- 7.5.5 Spain
- 7.5.6 Benelux
- 8 China
- 8.1 China Natural Language Processing (NLP) in Healthcare Market Size and Growth Rate Analysis (2020-2032)
- 8.2 China Key Manufacturers Analysis
- 8.3 China Natural Language Processing (NLP) in Healthcare Market Size by Type
- 8.4 China Natural Language Processing (NLP) in Healthcare Market Size by Application
- 9 APAC (excl. China)
- 9.1 APAC (excl. China) Natural Language Processing (NLP) in Healthcare Market Size and Growth Rate Analysis (2020-2032)
- 9.2 APAC (excl. China) Key Manufacturers Analysis
- 9.3 APAC (excl. China) Natural Language Processing (NLP) in Healthcare Market Size by Type
- 9.4 APAC (excl. China) Natural Language Processing (NLP) in Healthcare Market Size by Application
- 9.5 APAC (excl. China) Natural Language Processing (NLP) in Healthcare Market Size by Country
- 9.5.1 Japan
- 9.5.2 South Korea
- 9.5.3 India
- 9.5.4 Australia
- 9.5.5 Southeast Asia
- 10 Latin America
- 10.1 Latin America Natural Language Processing (NLP) in Healthcare Market Size and Growth Rate Analysis (2020-2032)
- 10.2 Latin America Key Manufacturers Analysis
- 10.3 Latin America Natural Language Processing (NLP) in Healthcare Market Size by Type
- 10.4 Latin America Natural Language Processing (NLP) in Healthcare Market Size by Application
- 10.5 Latin America Natural Language Processing (NLP) in Healthcare Market Size by Country
- 10.5.1 Mexico
- 10.5.2 Brazil
- 11 Middle East & Africa
- 11.1 Middle East & Africa Natural Language Processing (NLP) in Healthcare Market Size and Growth Rate Analysis (2020-2032)
- 11.2 Middle East & Africa Key Manufacturers Analysis
- 11.3 Middle East & Africa Natural Language Processing (NLP) in Healthcare Market Size by Type
- 11.4 Middle East & Africa Natural Language Processing (NLP) in Healthcare Market Size by Application
- 11.5 Middle East & Africa Natural Language Processing (NLP) in Healthcare Market Size by Country
- 11.5.1 Saudi Arabia
- 11.5.2 South Africa
- 12 Competition by Manufacturers
- 12.1 Global Natural Language Processing (NLP) in Healthcare Market Revenue by Key Manufacturers (2021-2025)
- 12.2 Natural Language Processing (NLP) in Healthcare Competitive Landscape Analysis and Market Dynamic
- 12.2.1 Natural Language Processing (NLP) in Healthcare Competitive Landscape Analysis
- 12.2.2 Global Key Manufacturers Headquarter Location and Key Area Sales
- 12.2.3 Market Dynamic
- 13 Key Companies Analysis
- 13.1 3M
- 13.1.1 3M Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.1.2 3M Natural Language Processing (NLP) in Healthcare Product Portfolio
- 13.1.3 3M Natural Language Processing (NLP) in Healthcare Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.2 Linguamatics
- 13.2.1 Linguamatics Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.2.2 Linguamatics Natural Language Processing (NLP) in Healthcare Product Portfolio
- 13.2.3 Linguamatics Natural Language Processing (NLP) in Healthcare Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.3 Amazon AWS
- 13.3.1 Amazon AWS Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.3.2 Amazon AWS Natural Language Processing (NLP) in Healthcare Product Portfolio
- 13.3.3 Amazon AWS Natural Language Processing (NLP) in Healthcare Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.4 Nuance Communications
- 13.4.1 Nuance Communications Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.4.2 Nuance Communications Natural Language Processing (NLP) in Healthcare Product Portfolio
- 13.4.3 Nuance Communications Natural Language Processing (NLP) in Healthcare Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.5 SAS
- 13.5.1 SAS Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.5.2 SAS Natural Language Processing (NLP) in Healthcare Product Portfolio
- 13.5.3 SAS Natural Language Processing (NLP) in Healthcare Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.6 IBM
- 13.6.1 IBM Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.6.2 IBM Natural Language Processing (NLP) in Healthcare Product Portfolio
- 13.6.3 IBM Natural Language Processing (NLP) in Healthcare Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.7 Microsoft Corporation
- 13.7.1 Microsoft Corporation Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.7.2 Microsoft Corporation Natural Language Processing (NLP) in Healthcare Product Portfolio
- 13.7.3 Microsoft Corporation Natural Language Processing (NLP) in Healthcare Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.8 Health Fidelity
- 13.8.1 Health Fidelity Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.8.2 Health Fidelity Natural Language Processing (NLP) in Healthcare Product Portfolio
- 13.8.3 Health Fidelity Natural Language Processing (NLP) in Healthcare Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.9 Averbis
- 13.9.1 Averbis Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.9.2 Averbis Natural Language Processing (NLP) in Healthcare Product Portfolio
- 13.9.3 Averbis Natural Language Processing (NLP) in Healthcare Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.10 Dolbey Systems
- 13.10.1 Dolbey Systems Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.10.2 Dolbey Systems Natural Language Processing (NLP) in Healthcare Product Portfolio
- 13.10.3 Dolbey Systems Natural Language Processing (NLP) in Healthcare Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 14 Industry Chain Analysis
- 14.1 Natural Language Processing (NLP) in Healthcare Industry Chain Analysis
- 14.2 Natural Language Processing (NLP) in Healthcare Industry Raw Material and Suppliers Analysis
- 14.2.1 Natural Language Processing (NLP) in Healthcare Key Raw Material Supply Analysis
- 14.2.2 Raw Material Suppliers and Contact Information
- 14.3 Natural Language Processing (NLP) in Healthcare Typical Downstream Customers
- 14.4 Natural Language Processing (NLP) in Healthcare Sales Channel Analysis
- 15 Research Findings and Conclusion
- 16 Methodology and Data Source
- 16.1 Methodology/Research Approach
- 16.2 Research Scope
- 16.3 Benchmarks and Assumptions
- 16.4 Date Source
- 16.4.1 Primary Sources
- 16.4.2 Secondary Sources
- 16.5 Data Cross Validation
- 16.6 Disclaimer
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