Natural Language Processing (NLP) in Healthcare Industry Research Report 2025

Summary


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++.

According to APO Research, The global Natural Language Processing (NLP) in Healthcare market was valued at US$ million in 2024 and is anticipated to reach US$ million by 2031, witnessing a CAGR of xx% during the forecast period 2025-2031.

North American market for Natural Language Processing (NLP) in Healthcare is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.

Asia-Pacific market for Natural Language Processing (NLP) in Healthcare is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.

Europe market for Natural Language Processing (NLP) in Healthcare is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.

The major global companies of Natural Language Processing (NLP) in Healthcare include 3M, Linguamatics, Amazon AWS, Nuance Communications, SAS, IBM, Microsoft Corporation, Averbis and Health Fidelity and etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.

Report Scope

This report aims to provide a comprehensive presentation of the global market for Natural Language Processing (NLP) in Healthcare, 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) in Healthcare.
The Natural Language Processing (NLP) in Healthcare market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Natural Language Processing (NLP) in Healthcare 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.

Key Companies & Market Share Insights

In this section, the readers will gain an understanding of the key players competing. This report has studied the key growth strategies, such as innovative trends and developments, intensification of product portfolio, mergers and acquisitions, collaborations, new product innovation, and geographical expansion, undertaken by these participants to maintain their presence. Apart from business strategies, the study includes current developments and key financials. The readers will also get access to the data related to global revenue, price, and sales by manufacturers for the period 2020-2025. This all-inclusive report will certainly serve the clients to stay updated and make effective decisions in their businesses.

Natural Language Processing (NLP) in Healthcare Segment 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 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.

Please Note: Single-User license will be delivered via PDF from the publisher without the rights to print or to edit.


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 (2020 VS 2024 VS 2031)
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 (2020 VS 2024 VS 2031)
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 (2020-2025)
3.2 Global Natural Language Processing (NLP) in Healthcare Forecasted Market Size by Type (2026-2031)
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 (2020-2025)
4.2 Global Natural Language Processing (NLP) in Healthcare Forecasted Market Size by Application (2026-2031)
5 Global Growth Trends
5.1 Global Natural Language Processing (NLP) in Healthcare Market Perspective (2020-2031)
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: 2020 VS 2024 VS 2031
5.2.2 Natural Language Processing (NLP) in Healthcare Historic Market Size by Region (2020-2025)
5.2.3 Natural Language Processing (NLP) in Healthcare Forecasted Market Size by Region (2026-2031)
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 (2020-2025)
6.1.2 Global Natural Language Processing (NLP) in Healthcare Revenue Market Share by Players (2020-2025)
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 (2020-2031)
7.2 North America Natural Language Processing (NLP) in Healthcare Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 North America Natural Language Processing (NLP) in Healthcare Market Size by Country (2020-2025)
7.4 North America Natural Language Processing (NLP) in Healthcare Market Size by Country (2026-2031)
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 (2020-2031)
8.2 Europe Natural Language Processing (NLP) in Healthcare Market Growth Rate by Country: 2020 VS 2024 VS 2031
8.3 Europe Natural Language Processing (NLP) in Healthcare Market Size by Country (2020-2025)
8.4 Europe Natural Language Processing (NLP) in Healthcare Market Size by Country (2026-2031)
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 (2020-2031)
9.2 Asia-Pacific Natural Language Processing (NLP) in Healthcare Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Asia-Pacific Natural Language Processing (NLP) in Healthcare Market Size by Country (2020-2025)
9.4 Asia-Pacific Natural Language Processing (NLP) in Healthcare Market Size by Country (2026-2031)
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 (2020-2031)
10.2 South America Natural Language Processing (NLP) in Healthcare Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 South America Natural Language Processing (NLP) in Healthcare Market Size by Country (2020-2025)
10.4 South America Natural Language Processing (NLP) in Healthcare Market Size by Country (2026-2031)
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 (2020-2031)
11.2 Middle East & Africa Natural Language Processing (NLP) in Healthcare Market Growth Rate by Country: 2020 VS 2024 VS 2031
11.3 Middle East & Africa Natural Language Processing (NLP) in Healthcare Market Size by Country (2020-2025)
11.4 Middle East & Africa Natural Language Processing (NLP) in Healthcare Market Size by Country (2026-2031)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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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