The Market Reports
Call: +1-631-407-1315 / +91-750-729-1479
Email: sales@themarketreports.com
Global Natural Language Processing (NLP) in Healthcare Market Research Report 2024
Synopsis
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 global Natural Language Processing (NLP) in Healthcare market was valued at US$ 851.8 million in 2023 and is anticipated to reach US$ 3113.7 million by 2030, witnessing a CAGR of 20.1% during the forecast period 2024-2030.
The top 3 players held about 54% of the market share, in terms of the globle NLP revenue in 2018.
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.
Report Scope
The Natural Language Processing (NLP) in Healthcare market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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.
The report will help the Natural Language Processing (NLP) in Healthcare companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
3M
Linguamatics
Amazon AWS
Nuance Communications
SAS
IBM
Microsoft Corporation
Averbis
Health Fidelity
Dolbey Systems
Segment by Type
Machine Translation
Information Extraction
Automatic Summarization
Text and Voice Processing
Other
Segment by Application
Electronic Health Records (EHR)
Computer-Assisted Coding (CAC)
Clinician Document
Other
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 2: 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 3: Detailed analysis of Natural Language Processing (NLP) in Healthcare companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin 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 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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 global Natural Language Processing (NLP) in Healthcare market was valued at US$ 851.8 million in 2023 and is anticipated to reach US$ 3113.7 million by 2030, witnessing a CAGR of 20.1% during the forecast period 2024-2030.
The top 3 players held about 54% of the market share, in terms of the globle NLP revenue in 2018.
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.
Report Scope
The Natural Language Processing (NLP) in Healthcare market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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.
The report will help the Natural Language Processing (NLP) in Healthcare companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
3M
Linguamatics
Amazon AWS
Nuance Communications
SAS
IBM
Microsoft Corporation
Averbis
Health Fidelity
Dolbey Systems
Segment by Type
Machine Translation
Information Extraction
Automatic Summarization
Text and Voice Processing
Other
Segment by Application
Electronic Health Records (EHR)
Computer-Assisted Coding (CAC)
Clinician Document
Other
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 2: 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 3: Detailed analysis of Natural Language Processing (NLP) in Healthcare companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin 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 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Natural Language Processing (NLP) in Healthcare Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Machine Translation
1.2.3 Information Extraction
1.2.4 Automatic Summarization
1.2.5 Text and Voice Processing
1.2.6 Other
1.3 Market by Application
1.3.1 Global Natural Language Processing (NLP) in Healthcare Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Electronic Health Records (EHR)
1.3.3 Computer-Assisted Coding (CAC)
1.3.4 Clinician Document
1.3.5 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Natural Language Processing (NLP) in Healthcare Market Perspective (2019-2030)
2.2 Natural Language Processing (NLP) in Healthcare Growth Trends by Region
2.2.1 Global Natural Language Processing (NLP) in Healthcare Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Natural Language Processing (NLP) in Healthcare Historic Market Size by Region (2019-2024)
2.2.3 Natural Language Processing (NLP) in Healthcare Forecasted Market Size by Region (2025-2030)
2.3 Natural Language Processing (NLP) in Healthcare Market Dynamics
2.3.1 Natural Language Processing (NLP) in Healthcare Industry Trends
2.3.2 Natural Language Processing (NLP) in Healthcare Market Drivers
2.3.3 Natural Language Processing (NLP) in Healthcare Market Challenges
2.3.4 Natural Language Processing (NLP) in Healthcare Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Natural Language Processing (NLP) in Healthcare Players by Revenue
3.1.1 Global Top Natural Language Processing (NLP) in Healthcare Players by Revenue (2019-2024)
3.1.2 Global Natural Language Processing (NLP) in Healthcare Revenue Market Share by Players (2019-2024)
3.2 Global Natural Language Processing (NLP) in Healthcare Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Natural Language Processing (NLP) in Healthcare Revenue
3.4 Global Natural Language Processing (NLP) in Healthcare Market Concentration Ratio
3.4.1 Global Natural Language Processing (NLP) in Healthcare Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Natural Language Processing (NLP) in Healthcare Revenue in 2023
3.5 Natural Language Processing (NLP) in Healthcare Key Players Head office and Area Served
3.6 Key Players Natural Language Processing (NLP) in Healthcare Product Solution and Service
3.7 Date of Enter into Natural Language Processing (NLP) in Healthcare Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Natural Language Processing (NLP) in Healthcare Breakdown Data by Type
4.1 Global Natural Language Processing (NLP) in Healthcare Historic Market Size by Type (2019-2024)
4.2 Global Natural Language Processing (NLP) in Healthcare Forecasted Market Size by Type (2025-2030)
5 Natural Language Processing (NLP) in Healthcare Breakdown Data by Application
5.1 Global Natural Language Processing (NLP) in Healthcare Historic Market Size by Application (2019-2024)
5.2 Global Natural Language Processing (NLP) in Healthcare Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Natural Language Processing (NLP) in Healthcare Market Size (2019-2030)
6.2 North America Natural Language Processing (NLP) in Healthcare Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Natural Language Processing (NLP) in Healthcare Market Size by Country (2019-2024)
6.4 North America Natural Language Processing (NLP) in Healthcare Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Natural Language Processing (NLP) in Healthcare Market Size (2019-2030)
7.2 Europe Natural Language Processing (NLP) in Healthcare Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Natural Language Processing (NLP) in Healthcare Market Size by Country (2019-2024)
7.4 Europe Natural Language Processing (NLP) in Healthcare Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Natural Language Processing (NLP) in Healthcare Market Size (2019-2030)
8.2 Asia-Pacific Natural Language Processing (NLP) in Healthcare Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Natural Language Processing (NLP) in Healthcare Market Size by Region (2019-2024)
8.4 Asia-Pacific Natural Language Processing (NLP) in Healthcare Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Natural Language Processing (NLP) in Healthcare Market Size (2019-2030)
9.2 Latin America Natural Language Processing (NLP) in Healthcare Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Natural Language Processing (NLP) in Healthcare Market Size by Country (2019-2024)
9.4 Latin America Natural Language Processing (NLP) in Healthcare Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Natural Language Processing (NLP) in Healthcare Market Size (2019-2030)
10.2 Middle East & Africa Natural Language Processing (NLP) in Healthcare Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Natural Language Processing (NLP) in Healthcare Market Size by Country (2019-2024)
10.4 Middle East & Africa Natural Language Processing (NLP) in Healthcare Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 3M
11.1.1 3M Company Detail
11.1.2 3M Business Overview
11.1.3 3M Natural Language Processing (NLP) in Healthcare Introduction
11.1.4 3M Revenue in Natural Language Processing (NLP) in Healthcare Business (2019-2024)
11.1.5 3M Recent Development
11.2 Linguamatics
11.2.1 Linguamatics Company Detail
11.2.2 Linguamatics Business Overview
11.2.3 Linguamatics Natural Language Processing (NLP) in Healthcare Introduction
11.2.4 Linguamatics Revenue in Natural Language Processing (NLP) in Healthcare Business (2019-2024)
11.2.5 Linguamatics Recent Development
11.3 Amazon AWS
11.3.1 Amazon AWS Company Detail
11.3.2 Amazon AWS Business Overview
11.3.3 Amazon AWS Natural Language Processing (NLP) in Healthcare Introduction
11.3.4 Amazon AWS Revenue in Natural Language Processing (NLP) in Healthcare Business (2019-2024)
11.3.5 Amazon AWS Recent Development
11.4 Nuance Communications
11.4.1 Nuance Communications Company Detail
11.4.2 Nuance Communications Business Overview
11.4.3 Nuance Communications Natural Language Processing (NLP) in Healthcare Introduction
11.4.4 Nuance Communications Revenue in Natural Language Processing (NLP) in Healthcare Business (2019-2024)
11.4.5 Nuance Communications Recent Development
11.5 SAS
11.5.1 SAS Company Detail
11.5.2 SAS Business Overview
11.5.3 SAS Natural Language Processing (NLP) in Healthcare Introduction
11.5.4 SAS Revenue in Natural Language Processing (NLP) in Healthcare Business (2019-2024)
11.5.5 SAS Recent Development
11.6 IBM
11.6.1 IBM Company Detail
11.6.2 IBM Business Overview
11.6.3 IBM Natural Language Processing (NLP) in Healthcare Introduction
11.6.4 IBM Revenue in Natural Language Processing (NLP) in Healthcare Business (2019-2024)
11.6.5 IBM Recent Development
11.7 Microsoft Corporation
11.7.1 Microsoft Corporation Company Detail
11.7.2 Microsoft Corporation Business Overview
11.7.3 Microsoft Corporation Natural Language Processing (NLP) in Healthcare Introduction
11.7.4 Microsoft Corporation Revenue in Natural Language Processing (NLP) in Healthcare Business (2019-2024)
11.7.5 Microsoft Corporation Recent Development
11.8 Averbis
11.8.1 Averbis Company Detail
11.8.2 Averbis Business Overview
11.8.3 Averbis Natural Language Processing (NLP) in Healthcare Introduction
11.8.4 Averbis Revenue in Natural Language Processing (NLP) in Healthcare Business (2019-2024)
11.8.5 Averbis Recent Development
11.9 Health Fidelity
11.9.1 Health Fidelity Company Detail
11.9.2 Health Fidelity Business Overview
11.9.3 Health Fidelity Natural Language Processing (NLP) in Healthcare Introduction
11.9.4 Health Fidelity Revenue in Natural Language Processing (NLP) in Healthcare Business (2019-2024)
11.9.5 Health Fidelity Recent Development
11.10 Dolbey Systems
11.10.1 Dolbey Systems Company Detail
11.10.2 Dolbey Systems Business Overview
11.10.3 Dolbey Systems Natural Language Processing (NLP) in Healthcare Introduction
11.10.4 Dolbey Systems Revenue in Natural Language Processing (NLP) in Healthcare Business (2019-2024)
11.10.5 Dolbey Systems Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
Why ‘The Market Reports’
In Business:
Pre Sales Support:
Post Sales Support:
Turn Around Time:
Clients Served:
Clients Assisted:
Client Types:
Payment:
- Accept global payments [Credit Card / PayPal / Wire Transfer]
- Accept local payments in South Korea, Germany, China and India [Can pay in local currency]
Latest IT & Electronics Market Reports
Payments Accepted From
Connect with us at
Complete Secure Website
