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Global Healthcare Natural Language Processing (NLP) 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 Healthcare Natural Language Processing (NLP) market was valued at US$ 851.8 million in 2023 and is anticipated to reach US$ 1081.7 million by 2030, witnessing a CAGR of 3.4% during the forecast period 2024-2030.
According to our research, the global market for medical devices is estimated at US$ 603 billion in the year 2023, and will be growing at a CAGR of 5% during next six years. The global healthcare spending contributes to occupy 10% of the global GDP and is continuously rising in recent years due to the increasing health needs of the aging population, the growing prevalence of chronic and infectious diseases and the expansion of emerging markets. The medical devices market plays a significant role in the healthcare industry. The market is driven by several factors, including the increasing demand for advanced healthcare services globally, advancements in medical technology, growing geriatric population, rising healthcare expenditure, and increasing awareness about early disease diagnosis and treatment.
This report aims to provide a comprehensive presentation of the global market for Healthcare Natural Language Processing (NLP), 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 Healthcare Natural Language Processing (NLP).
Report Scope
The Healthcare Natural Language Processing (NLP) 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 Healthcare Natural Language Processing (NLP) 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 Healthcare Natural Language Processing (NLP) 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
NLP Technologies
NEC
Apple
Microsoft
Dolbey
IBM
NetBase
SAS
Verint Systems
Linguamatics
Artificial Solutions
Segment by Type
Machine Translation
Information Extraction
Automatic Summarization
Text and Voice Processing
Segment by Application
Hospitals
Clinics
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 Healthcare Natural Language Processing (NLP) 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 Healthcare Natural Language Processing (NLP) market was valued at US$ 851.8 million in 2023 and is anticipated to reach US$ 1081.7 million by 2030, witnessing a CAGR of 3.4% during the forecast period 2024-2030.
According to our research, the global market for medical devices is estimated at US$ 603 billion in the year 2023, and will be growing at a CAGR of 5% during next six years. The global healthcare spending contributes to occupy 10% of the global GDP and is continuously rising in recent years due to the increasing health needs of the aging population, the growing prevalence of chronic and infectious diseases and the expansion of emerging markets. The medical devices market plays a significant role in the healthcare industry. The market is driven by several factors, including the increasing demand for advanced healthcare services globally, advancements in medical technology, growing geriatric population, rising healthcare expenditure, and increasing awareness about early disease diagnosis and treatment.
This report aims to provide a comprehensive presentation of the global market for Healthcare Natural Language Processing (NLP), 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 Healthcare Natural Language Processing (NLP).
Report Scope
The Healthcare Natural Language Processing (NLP) 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 Healthcare Natural Language Processing (NLP) 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 Healthcare Natural Language Processing (NLP) 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
NLP Technologies
NEC
Apple
Microsoft
Dolbey
IBM
NetBase
SAS
Verint Systems
Linguamatics
Artificial Solutions
Segment by Type
Machine Translation
Information Extraction
Automatic Summarization
Text and Voice Processing
Segment by Application
Hospitals
Clinics
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 Healthcare Natural Language Processing (NLP) 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 Healthcare Natural Language Processing (NLP) 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
1.3 Market by Application
1.3.1 Global Healthcare Natural Language Processing (NLP) Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Hospitals
1.3.3 Clinics
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Healthcare Natural Language Processing (NLP) Market Perspective (2019-2030)
2.2 Healthcare Natural Language Processing (NLP) Growth Trends by Region
2.2.1 Global Healthcare Natural Language Processing (NLP) Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Healthcare Natural Language Processing (NLP) Historic Market Size by Region (2019-2024)
2.2.3 Healthcare Natural Language Processing (NLP) Forecasted Market Size by Region (2025-2030)
2.3 Healthcare Natural Language Processing (NLP) Market Dynamics
2.3.1 Healthcare Natural Language Processing (NLP) Industry Trends
2.3.2 Healthcare Natural Language Processing (NLP) Market Drivers
2.3.3 Healthcare Natural Language Processing (NLP) Market Challenges
2.3.4 Healthcare Natural Language Processing (NLP) Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Healthcare Natural Language Processing (NLP) Players by Revenue
3.1.1 Global Top Healthcare Natural Language Processing (NLP) Players by Revenue (2019-2024)
3.1.2 Global Healthcare Natural Language Processing (NLP) Revenue Market Share by Players (2019-2024)
3.2 Global Healthcare Natural Language Processing (NLP) Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Healthcare Natural Language Processing (NLP) Revenue
3.4 Global Healthcare Natural Language Processing (NLP) Market Concentration Ratio
3.4.1 Global Healthcare Natural Language Processing (NLP) Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Healthcare Natural Language Processing (NLP) Revenue in 2023
3.5 Healthcare Natural Language Processing (NLP) Key Players Head office and Area Served
3.6 Key Players Healthcare Natural Language Processing (NLP) Product Solution and Service
3.7 Date of Enter into Healthcare Natural Language Processing (NLP) Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Healthcare Natural Language Processing (NLP) Breakdown Data by Type
4.1 Global Healthcare Natural Language Processing (NLP) Historic Market Size by Type (2019-2024)
4.2 Global Healthcare Natural Language Processing (NLP) Forecasted Market Size by Type (2025-2030)
5 Healthcare Natural Language Processing (NLP) Breakdown Data by Application
5.1 Global Healthcare Natural Language Processing (NLP) Historic Market Size by Application (2019-2024)
5.2 Global Healthcare Natural Language Processing (NLP) Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Healthcare Natural Language Processing (NLP) Market Size (2019-2030)
6.2 North America Healthcare Natural Language Processing (NLP) Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Healthcare Natural Language Processing (NLP) Market Size by Country (2019-2024)
6.4 North America Healthcare Natural Language Processing (NLP) Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Healthcare Natural Language Processing (NLP) Market Size (2019-2030)
7.2 Europe Healthcare Natural Language Processing (NLP) Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Healthcare Natural Language Processing (NLP) Market Size by Country (2019-2024)
7.4 Europe Healthcare Natural Language Processing (NLP) 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 Healthcare Natural Language Processing (NLP) Market Size (2019-2030)
8.2 Asia-Pacific Healthcare Natural Language Processing (NLP) Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Healthcare Natural Language Processing (NLP) Market Size by Region (2019-2024)
8.4 Asia-Pacific Healthcare Natural Language Processing (NLP) 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 Healthcare Natural Language Processing (NLP) Market Size (2019-2030)
9.2 Latin America Healthcare Natural Language Processing (NLP) Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Healthcare Natural Language Processing (NLP) Market Size by Country (2019-2024)
9.4 Latin America Healthcare Natural Language Processing (NLP) Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Healthcare Natural Language Processing (NLP) Market Size (2019-2030)
10.2 Middle East & Africa Healthcare Natural Language Processing (NLP) Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Healthcare Natural Language Processing (NLP) Market Size by Country (2019-2024)
10.4 Middle East & Africa Healthcare Natural Language Processing (NLP) Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 NLP Technologies
11.1.1 NLP Technologies Company Detail
11.1.2 NLP Technologies Business Overview
11.1.3 NLP Technologies Healthcare Natural Language Processing (NLP) Introduction
11.1.4 NLP Technologies Revenue in Healthcare Natural Language Processing (NLP) Business (2019-2024)
11.1.5 NLP Technologies Recent Development
11.2 NEC
11.2.1 NEC Company Detail
11.2.2 NEC Business Overview
11.2.3 NEC Healthcare Natural Language Processing (NLP) Introduction
11.2.4 NEC Revenue in Healthcare Natural Language Processing (NLP) Business (2019-2024)
11.2.5 NEC Recent Development
11.3 Apple
11.3.1 Apple Company Detail
11.3.2 Apple Business Overview
11.3.3 Apple Healthcare Natural Language Processing (NLP) Introduction
11.3.4 Apple Revenue in Healthcare Natural Language Processing (NLP) Business (2019-2024)
11.3.5 Apple Recent Development
11.4 Microsoft
11.4.1 Microsoft Company Detail
11.4.2 Microsoft Business Overview
11.4.3 Microsoft Healthcare Natural Language Processing (NLP) Introduction
11.4.4 Microsoft Revenue in Healthcare Natural Language Processing (NLP) Business (2019-2024)
11.4.5 Microsoft Recent Development
11.5 Dolbey
11.5.1 Dolbey Company Detail
11.5.2 Dolbey Business Overview
11.5.3 Dolbey Healthcare Natural Language Processing (NLP) Introduction
11.5.4 Dolbey Revenue in Healthcare Natural Language Processing (NLP) Business (2019-2024)
11.5.5 Dolbey Recent Development
11.6 IBM
11.6.1 IBM Company Detail
11.6.2 IBM Business Overview
11.6.3 IBM Healthcare Natural Language Processing (NLP) Introduction
11.6.4 IBM Revenue in Healthcare Natural Language Processing (NLP) Business (2019-2024)
11.6.5 IBM Recent Development
11.7 NetBase
11.7.1 NetBase Company Detail
11.7.2 NetBase Business Overview
11.7.3 NetBase Healthcare Natural Language Processing (NLP) Introduction
11.7.4 NetBase Revenue in Healthcare Natural Language Processing (NLP) Business (2019-2024)
11.7.5 NetBase Recent Development
11.8 SAS
11.8.1 SAS Company Detail
11.8.2 SAS Business Overview
11.8.3 SAS Healthcare Natural Language Processing (NLP) Introduction
11.8.4 SAS Revenue in Healthcare Natural Language Processing (NLP) Business (2019-2024)
11.8.5 SAS Recent Development
11.9 Verint Systems
11.9.1 Verint Systems Company Detail
11.9.2 Verint Systems Business Overview
11.9.3 Verint Systems Healthcare Natural Language Processing (NLP) Introduction
11.9.4 Verint Systems Revenue in Healthcare Natural Language Processing (NLP) Business (2019-2024)
11.9.5 Verint Systems Recent Development
11.10 Linguamatics
11.10.1 Linguamatics Company Detail
11.10.2 Linguamatics Business Overview
11.10.3 Linguamatics Healthcare Natural Language Processing (NLP) Introduction
11.10.4 Linguamatics Revenue in Healthcare Natural Language Processing (NLP) Business (2019-2024)
11.10.5 Linguamatics Recent Development
11.11 Artificial Solutions
11.11.1 Artificial Solutions Company Detail
11.11.2 Artificial Solutions Business Overview
11.11.3 Artificial Solutions Healthcare Natural Language Processing (NLP) Introduction
11.11.4 Artificial Solutions Revenue in Healthcare Natural Language Processing (NLP) Business (2019-2024)
11.11.5 Artificial Solutions 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
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