APO RESEARCH · REPORT
Natural Language Processing (NLP) in Healthcare
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++.
Product & engineering
Understand the product.
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++.
Selected research
Industry Research
Natural Language Processing (NLP) in Healthcare Industry Research Report 2026
Market perspective
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.
Report Scope
Read the full market overview
This report quantifies the global Natural Language Processing (NLP) in Healthcare market in terms of revenue (US$ million) and, where applicable, service volume (K Units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/K Units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to Natural Language Processing (NLP) in Healthcare.
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
Natural Language Processing (NLP) in Healthcare Market by Company
3M
Linguamatics
Amazon AWS
Nuance Communications
SAS
IBM
Microsoft Corporation
Averbis
Health Fidelity
Dolbey Systems
Natural Language Processing (NLP) in Healthcare Segment by Type
Machine Translation
Information Extraction
Automatic Summarization
Text and Voice Processing
Other
Natural Language Processing (NLP) in Healthcare Segment by Application
Electronic Health Records (EHR)
Computer-Assisted Coding (CAC)
Clinician Document
Other
Natural Language Processing (NLP) in Healthcare Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Colombia
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Natural Language Processing (NLP) in Healthcare market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Natural Language Processing (NLP) in Healthcare and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market
5. This report helps stakeholders to gain insights into which regions to target globally
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Natural Language Processing (NLP) in Healthcare.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, 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 3: Provides the analysis of various market segments product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments 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 5: 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 6: Detailed analysis of Natural Language Processing (NLP) in Healthcare companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South 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 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Machine Translation
- Information Extraction
- Automatic Summarization
- Text and Voice Processing
- Other
Applications
- Electronic Health Records (EHR)
- Computer-Assisted Coding (CAC)
- Clinician Document
- Other
Companies covered
- 3M
- Linguamatics
- Amazon AWS
- Nuance Communications
- SAS
- IBM
- Microsoft Corporation
- Averbis
- Health Fidelity
- Dolbey Systems
Inside the report.
1 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 Natural Language Processing (NLP) in Healthcare by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Machine Translation
- 2.2.3 Information Extraction
- 2.2.4 Automatic Summarization
- 2.2.5 Text and Voice Processing
- 2.2.6 Other
- 2.3 Natural Language Processing (NLP) in Healthcare by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Electronic Health Records (EHR)
- 2.3.3 Computer-Assisted Coding (CAC)
- 2.3.4 Clinician Document
- 2.3.5 Other
- 2.4 Assumptions and Limitations
3 Natural Language Processing (NLP) in Healthcare Breakdown Data by Type
- 3.1 Global Natural Language Processing (NLP) in Healthcare Historic Market Size by Type (2021-2026)
- 3.2 Global Natural Language Processing (NLP) in Healthcare Forecasted Market Size by Type (2027-2032)
4 Natural Language Processing (NLP) in Healthcare Breakdown Data by Application
- 4.1 Global Natural Language Processing (NLP) in Healthcare Historic Market Size by Application (2021-2026)
- 4.2 Global Natural Language Processing (NLP) in Healthcare Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global Natural Language Processing (NLP) in Healthcare Market Perspective (2021-2032)
- 5.2 Global Natural Language Processing (NLP) in Healthcare Growth Trends by Region
- 5.2.1 Global Natural Language Processing (NLP) in Healthcare Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 Natural Language Processing (NLP) in Healthcare Historic Market Size by Region (2021-2026)
- 5.2.3 Natural Language Processing (NLP) in Healthcare Forecasted Market Size by Region (2027-2032)
- 5.3 Natural Language Processing (NLP) in Healthcare Market Dynamics
- 5.3.1 Natural Language Processing (NLP) in Healthcare Industry Trends
- 5.3.2 Natural Language Processing (NLP) in Healthcare Market Drivers
- 5.3.3 Natural Language Processing (NLP) in Healthcare Market Challenges
- 5.3.4 Natural Language Processing (NLP) in Healthcare Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top Natural Language Processing (NLP) in Healthcare Players by Revenue
- 6.1.1 Global Top Natural Language Processing (NLP) in Healthcare Players by Revenue (2021-2026)
- 6.1.2 Global Natural Language Processing (NLP) in Healthcare Revenue Market Share by Players (2021-2026)
- 6.2 Global Natural Language Processing (NLP) in Healthcare Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of Natural Language Processing (NLP) in Healthcare Head Office and Area Served
- 6.4 Global Natural Language Processing (NLP) in Healthcare Players, Product Type & Application
- 6.5 Global Natural Language Processing (NLP) in Healthcare Manufacturers Established Date
- 6.6 Global Natural Language Processing (NLP) in Healthcare Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America Natural Language Processing (NLP) in Healthcare Market Size (2021-2032)
- 7.2 North America Natural Language Processing (NLP) in Healthcare Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America Natural Language Processing (NLP) in Healthcare Market Size by Country (2021-2026)
- 7.4 North America Natural Language Processing (NLP) in Healthcare Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe Natural Language Processing (NLP) in Healthcare Market Size (2021-2032)
- 8.2 Europe Natural Language Processing (NLP) in Healthcare Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe Natural Language Processing (NLP) in Healthcare Market Size by Country (2021-2026)
- 8.4 Europe Natural Language Processing (NLP) in Healthcare Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific Natural Language Processing (NLP) in Healthcare Market Size (2021-2032)
- 9.2 Asia-Pacific Natural Language Processing (NLP) in Healthcare Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific Natural Language Processing (NLP) in Healthcare Market Size by Country (2021-2026)
- 9.4 Asia-Pacific Natural Language Processing (NLP) in Healthcare Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America Natural Language Processing (NLP) in Healthcare Market Size (2021-2032)
- 10.2 South America Natural Language Processing (NLP) in Healthcare Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America Natural Language Processing (NLP) in Healthcare Market Size by Country (2021-2026)
- 10.4 South America Natural Language Processing (NLP) in Healthcare Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa Natural Language Processing (NLP) in Healthcare Market Size (2021-2032)
- 11.2 Middle East & Africa Natural Language Processing (NLP) in Healthcare Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa Natural Language Processing (NLP) in Healthcare Market Size by Country (2021-2026)
- 11.4 Middle East & Africa Natural Language Processing (NLP) in Healthcare Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 3M
- 12.1.1 3M Company Information
- 12.1.2 3M Business Overview
- 12.1.3 3M Revenue in Natural Language Processing (NLP) in Healthcare Business (2021-2026)
- 12.1.4 3M Natural Language Processing (NLP) in Healthcare Product Portfolio
- 12.1.5 3M Recent Developments
- 12.2 Linguamatics
- 12.2.1 Linguamatics Company Information
- 12.2.2 Linguamatics Business Overview
- 12.2.3 Linguamatics Revenue in Natural Language Processing (NLP) in Healthcare Business (2021-2026)
- 12.2.4 Linguamatics Natural Language Processing (NLP) in Healthcare Product Portfolio
- 12.2.5 Linguamatics Recent Developments
- 12.3 Amazon AWS
- 12.3.1 Amazon AWS Company Information
- 12.3.2 Amazon AWS Business Overview
- 12.3.3 Amazon AWS Revenue in Natural Language Processing (NLP) in Healthcare Business (2021-2026)
- 12.3.4 Amazon AWS Natural Language Processing (NLP) in Healthcare Product Portfolio
- 12.3.5 Amazon AWS Recent Developments
- 12.4 Nuance Communications
- 12.4.1 Nuance Communications Company Information
- 12.4.2 Nuance Communications Business Overview
- 12.4.3 Nuance Communications Revenue in Natural Language Processing (NLP) in Healthcare Business (2021-2026)
- 12.4.4 Nuance Communications Natural Language Processing (NLP) in Healthcare Product Portfolio
- 12.4.5 Nuance Communications Recent Developments
- 12.5 SAS
- 12.5.1 SAS Company Information
- 12.5.2 SAS Business Overview
- 12.5.3 SAS Revenue in Natural Language Processing (NLP) in Healthcare Business (2021-2026)
- 12.5.4 SAS Natural Language Processing (NLP) in Healthcare Product Portfolio
- 12.5.5 SAS Recent Developments
- 12.6 IBM
- 12.6.1 IBM Company Information
- 12.6.2 IBM Business Overview
- 12.6.3 IBM Revenue in Natural Language Processing (NLP) in Healthcare Business (2021-2026)
- 12.6.4 IBM Natural Language Processing (NLP) in Healthcare Product Portfolio
- 12.6.5 IBM Recent Developments
- 12.7 Microsoft Corporation
- 12.7.1 Microsoft Corporation Company Information
- 12.7.2 Microsoft Corporation Business Overview
- 12.7.3 Microsoft Corporation Revenue in Natural Language Processing (NLP) in Healthcare Business (2021-2026)
- 12.7.4 Microsoft Corporation Natural Language Processing (NLP) in Healthcare Product Portfolio
- 12.7.5 Microsoft Corporation Recent Developments
- 12.8 Averbis
- 12.8.1 Averbis Company Information
- 12.8.2 Averbis Business Overview
- 12.8.3 Averbis Revenue in Natural Language Processing (NLP) in Healthcare Business (2021-2026)
- 12.8.4 Averbis Natural Language Processing (NLP) in Healthcare Product Portfolio
- 12.8.5 Averbis Recent Developments
- 12.9 Health Fidelity
- 12.9.1 Health Fidelity Company Information
- 12.9.2 Health Fidelity Business Overview
- 12.9.3 Health Fidelity Revenue in Natural Language Processing (NLP) in Healthcare Business (2021-2026)
- 12.9.4 Health Fidelity Natural Language Processing (NLP) in Healthcare Product Portfolio
- 12.9.5 Health Fidelity Recent Developments
- 12.10 Dolbey Systems
- 12.10.1 Dolbey Systems Company Information
- 12.10.2 Dolbey Systems Business Overview
- 12.10.3 Dolbey Systems Revenue in Natural Language Processing (NLP) in Healthcare Business (2021-2026)
- 12.10.4 Dolbey Systems Natural Language Processing (NLP) in Healthcare Product Portfolio
- 12.10.5 Dolbey Systems Recent Developments
13 Report Conclusion
14 Disclaimer
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