
NLP in Healthcare and Life Sciences can be defined as the combination of artificial intelligence (AI), computer science, and computational linguistics to understand human communication and extract meaning from unstructured spoken or written material.
Highlights
The global NLP in Healthcare and Life Sciences market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for NLP in Healthcare and Life Sciences is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for NLP in Healthcare and Life Sciences is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for NLP in Healthcare and Life Sciences in Public Health & Government Agencies is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of NLP in Healthcare and Life Sciences include IBM, Microsoft, Google, AWS, IQVIA, Oracle, Inovalon, Dolbey and Averbis, etc. In 2022, 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 NLP in Healthcare and Life Sciences, 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 NLP in Healthcare and Life Sciences.
The NLP in Healthcare and Life Sciences market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global NLP in Healthcare and Life Sciences 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 NLP in Healthcare and Life Sciences companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
IBM
Microsoft
Google
AWS
IQVIA
Oracle
Inovalon
Dolbey
Averbis
SAS Institute
Press Ganey
Ellipsis Health
Health Fidelity
Centene
Caption Health
Segment by Type
Solutions
Services
Segment by Application
Public Health & Government Agencies
Medical Devices
Healthcare Insurance
Pharmaceuticals
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
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by 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 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 NLP in Healthcare and Life Sciences 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 key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global NLP in Healthcare and Life Sciences Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Solutions
1.2.3 Services
1.3 Market by Application
1.3.1 Global NLP in Healthcare and Life Sciences Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Public Health & Government Agencies
1.3.3 Medical Devices
1.3.4 Healthcare Insurance
1.3.5 Pharmaceuticals
1.3.6 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global NLP in Healthcare and Life Sciences Market Perspective (2018-2029)
2.2 NLP in Healthcare and Life Sciences Growth Trends by Region
2.2.1 Global NLP in Healthcare and Life Sciences Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 NLP in Healthcare and Life Sciences Historic Market Size by Region (2018-2023)
2.2.3 NLP in Healthcare and Life Sciences Forecasted Market Size by Region (2024-2029)
2.3 NLP in Healthcare and Life Sciences Market Dynamics
2.3.1 NLP in Healthcare and Life Sciences Industry Trends
2.3.2 NLP in Healthcare and Life Sciences Market Drivers
2.3.3 NLP in Healthcare and Life Sciences Market Challenges
2.3.4 NLP in Healthcare and Life Sciences Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top NLP in Healthcare and Life Sciences Players by Revenue
3.1.1 Global Top NLP in Healthcare and Life Sciences Players by Revenue (2018-2023)
3.1.2 Global NLP in Healthcare and Life Sciences Revenue Market Share by Players (2018-2023)
3.2 Global NLP in Healthcare and Life Sciences Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by NLP in Healthcare and Life Sciences Revenue
3.4 Global NLP in Healthcare and Life Sciences Market Concentration Ratio
3.4.1 Global NLP in Healthcare and Life Sciences Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by NLP in Healthcare and Life Sciences Revenue in 2022
3.5 NLP in Healthcare and Life Sciences Key Players Head office and Area Served
3.6 Key Players NLP in Healthcare and Life Sciences Product Solution and Service
3.7 Date of Enter into NLP in Healthcare and Life Sciences Market
3.8 Mergers & Acquisitions, Expansion Plans
4 NLP in Healthcare and Life Sciences Breakdown Data by Type
4.1 Global NLP in Healthcare and Life Sciences Historic Market Size by Type (2018-2023)
4.2 Global NLP in Healthcare and Life Sciences Forecasted Market Size by Type (2024-2029)
5 NLP in Healthcare and Life Sciences Breakdown Data by Application
5.1 Global NLP in Healthcare and Life Sciences Historic Market Size by Application (2018-2023)
5.2 Global NLP in Healthcare and Life Sciences Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America NLP in Healthcare and Life Sciences Market Size (2018-2029)
6.2 North America NLP in Healthcare and Life Sciences Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America NLP in Healthcare and Life Sciences Market Size by Country (2018-2023)
6.4 North America NLP in Healthcare and Life Sciences Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe NLP in Healthcare and Life Sciences Market Size (2018-2029)
7.2 Europe NLP in Healthcare and Life Sciences Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe NLP in Healthcare and Life Sciences Market Size by Country (2018-2023)
7.4 Europe NLP in Healthcare and Life Sciences Market Size by Country (2024-2029)
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 NLP in Healthcare and Life Sciences Market Size (2018-2029)
8.2 Asia-Pacific NLP in Healthcare and Life Sciences Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific NLP in Healthcare and Life Sciences Market Size by Region (2018-2023)
8.4 Asia-Pacific NLP in Healthcare and Life Sciences Market Size by Region (2024-2029)
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 NLP in Healthcare and Life Sciences Market Size (2018-2029)
9.2 Latin America NLP in Healthcare and Life Sciences Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America NLP in Healthcare and Life Sciences Market Size by Country (2018-2023)
9.4 Latin America NLP in Healthcare and Life Sciences Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa NLP in Healthcare and Life Sciences Market Size (2018-2029)
10.2 Middle East & Africa NLP in Healthcare and Life Sciences Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa NLP in Healthcare and Life Sciences Market Size by Country (2018-2023)
10.4 Middle East & Africa NLP in Healthcare and Life Sciences Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM NLP in Healthcare and Life Sciences Introduction
11.1.4 IBM Revenue in NLP in Healthcare and Life Sciences Business (2018-2023)
11.1.5 IBM Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Detail
11.2.2 Microsoft Business Overview
11.2.3 Microsoft NLP in Healthcare and Life Sciences Introduction
11.2.4 Microsoft Revenue in NLP in Healthcare and Life Sciences Business (2018-2023)
11.2.5 Microsoft Recent Development
11.3 Google
11.3.1 Google Company Detail
11.3.2 Google Business Overview
11.3.3 Google NLP in Healthcare and Life Sciences Introduction
11.3.4 Google Revenue in NLP in Healthcare and Life Sciences Business (2018-2023)
11.3.5 Google Recent Development
11.4 AWS
11.4.1 AWS Company Detail
11.4.2 AWS Business Overview
11.4.3 AWS NLP in Healthcare and Life Sciences Introduction
11.4.4 AWS Revenue in NLP in Healthcare and Life Sciences Business (2018-2023)
11.4.5 AWS Recent Development
11.5 IQVIA
11.5.1 IQVIA Company Detail
11.5.2 IQVIA Business Overview
11.5.3 IQVIA NLP in Healthcare and Life Sciences Introduction
11.5.4 IQVIA Revenue in NLP in Healthcare and Life Sciences Business (2018-2023)
11.5.5 IQVIA Recent Development
11.6 Oracle
11.6.1 Oracle Company Detail
11.6.2 Oracle Business Overview
11.6.3 Oracle NLP in Healthcare and Life Sciences Introduction
11.6.4 Oracle Revenue in NLP in Healthcare and Life Sciences Business (2018-2023)
11.6.5 Oracle Recent Development
11.7 Inovalon
11.7.1 Inovalon Company Detail
11.7.2 Inovalon Business Overview
11.7.3 Inovalon NLP in Healthcare and Life Sciences Introduction
11.7.4 Inovalon Revenue in NLP in Healthcare and Life Sciences Business (2018-2023)
11.7.5 Inovalon Recent Development
11.8 Dolbey
11.8.1 Dolbey Company Detail
11.8.2 Dolbey Business Overview
11.8.3 Dolbey NLP in Healthcare and Life Sciences Introduction
11.8.4 Dolbey Revenue in NLP in Healthcare and Life Sciences Business (2018-2023)
11.8.5 Dolbey Recent Development
11.9 Averbis
11.9.1 Averbis Company Detail
11.9.2 Averbis Business Overview
11.9.3 Averbis NLP in Healthcare and Life Sciences Introduction
11.9.4 Averbis Revenue in NLP in Healthcare and Life Sciences Business (2018-2023)
11.9.5 Averbis Recent Development
11.10 SAS Institute
11.10.1 SAS Institute Company Detail
11.10.2 SAS Institute Business Overview
11.10.3 SAS Institute NLP in Healthcare and Life Sciences Introduction
11.10.4 SAS Institute Revenue in NLP in Healthcare and Life Sciences Business (2018-2023)
11.10.5 SAS Institute Recent Development
11.11 Press Ganey
11.11.1 Press Ganey Company Detail
11.11.2 Press Ganey Business Overview
11.11.3 Press Ganey NLP in Healthcare and Life Sciences Introduction
11.11.4 Press Ganey Revenue in NLP in Healthcare and Life Sciences Business (2018-2023)
11.11.5 Press Ganey Recent Development
11.12 Ellipsis Health
11.12.1 Ellipsis Health Company Detail
11.12.2 Ellipsis Health Business Overview
11.12.3 Ellipsis Health NLP in Healthcare and Life Sciences Introduction
11.12.4 Ellipsis Health Revenue in NLP in Healthcare and Life Sciences Business (2018-2023)
11.12.5 Ellipsis Health Recent Development
11.13 Health Fidelity
11.13.1 Health Fidelity Company Detail
11.13.2 Health Fidelity Business Overview
11.13.3 Health Fidelity NLP in Healthcare and Life Sciences Introduction
11.13.4 Health Fidelity Revenue in NLP in Healthcare and Life Sciences Business (2018-2023)
11.13.5 Health Fidelity Recent Development
11.14 Centene
11.14.1 Centene Company Detail
11.14.2 Centene Business Overview
11.14.3 Centene NLP in Healthcare and Life Sciences Introduction
11.14.4 Centene Revenue in NLP in Healthcare and Life Sciences Business (2018-2023)
11.14.5 Centene Recent Development
11.15 Caption Health
11.15.1 Caption Health Company Detail
11.15.2 Caption Health Business Overview
11.15.3 Caption Health NLP in Healthcare and Life Sciences Introduction
11.15.4 Caption Health Revenue in NLP in Healthcare and Life Sciences Business (2018-2023)
11.15.5 Caption Health 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
IBM
Microsoft
Google
AWS
IQVIA
Oracle
Inovalon
Dolbey
Averbis
SAS Institute
Press Ganey
Ellipsis Health
Health Fidelity
Centene
Caption Health
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*If Applicable.
