Artificial intelligence (AI) in healthcare is the use of algorithms and software to approximate human cognition in the analysis of complex medical data.
麻豆原创 Analysis and Insights: Global AI in Healthcare 麻豆原创
The global AI in Healthcare market is projected to grow from US$ 5654.8 million in 2023 to US$ 24220 million by 2029, at a Compound Annual Growth Rate (CAGR) of 27.4% during the forecast period.
The US & Canada market for AI in Healthcare 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 China market for AI in Healthcare 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 Europe market for AI in Healthcare 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 key companies of AI in Healthcare include NVIDIA, Google, IBM, Microsoft, General Vision, Enlitic, Next IT, Welltok and ICarbonX, etc. in 2022, the global top five players had a share approximately % in terms of revenue.
Report Includes
This report presents an overview of global market for AI in Healthcare market size. Analyses of the global market trends, with historic market revenue data for 2018 - 2022, estimates for 2023, and projections of CAGR through 2029.
This report researches the key producers of AI in Healthcare, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for AI in Healthcare, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the AI in Healthcare revenue, market share and industry ranking of main companies, data from 2018 to 2023. Identification of the major stakeholders in the global AI in Healthcare market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by type and by application, revenue, and growth rate, from 2018 to 2029. Evaluation and forecast the market size for AI in Healthcare revenue, projected growth trends, production technology, application and end-user industry.
Descriptive company profiles of the major global players, including NVIDIA, Google, IBM, Microsoft, General Vision, Enlitic, Next IT, Welltok and ICarbonX, etc.
By Company
NVIDIA
Google
IBM
Microsoft
General Vision
Enlitic
Next IT
Welltok
ICarbonX
Recursion Pharmaceuticals
GE
Siemens
Johnson & Johnson
Medtronic
Careskore
Zephyr Health
Oncora Medical
Sentrian
Bay Labs
Deep Genomics
Cloudmedx
Segment by Type
Hardware
Software
Services
Segment by Application
Patient Data and Risk Analysis
Lifestyle Management and Monitoring
Precision Medicine
In-Patient Care and Hospital Management
Medical Imaging and Diagnosis
Drug Discovery
Virtual Assistant
Others
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, and Latin America
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: 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 2: Revenue of AI in Healthcare in global and regional level. 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. 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 AI in Healthcare companies鈥� competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the revenue, 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 revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America by type, by application and by country, revenue for each segment.
Chapter 7: Europe by type, by application and by country, revenue for each segment.
Chapter 8: China by type and by application revenue for each segment.
Chapter 9: Asia (excluding China) by type, by application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by type, by application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, AI in Healthcare revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions
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1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global AI in Healthcare 麻豆原创 Size Growth Rate by Type, 2018 VS 2022 VS 2029
1.2.2 Hardware
1.2.3 Software
1.2.4 Services
1.3 麻豆原创 by Application
1.3.1 Global AI in Healthcare 麻豆原创 Size Growth Rate by Application, 2018 VS 2022 VS 2029
1.3.2 Patient Data and Risk Analysis
1.3.3 Lifestyle Management and Monitoring
1.3.4 Precision Medicine
1.3.5 In-Patient Care and Hospital Management
1.3.6 Medical Imaging and Diagnosis
1.3.7 Drug Discovery
1.3.8 Virtual Assistant
1.3.9 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI in Healthcare 麻豆原创 Perspective (2018-2029)
2.2 Global AI in Healthcare Growth Trends by Region
2.2.1 AI in Healthcare 麻豆原创 Size by Region: 2018 VS 2022 VS 2029
2.2.2 AI in Healthcare Historic 麻豆原创 Size by Region (2018-2023)
2.2.3 AI in Healthcare Forecasted 麻豆原创 Size by Region (2024-2029)
2.3 AI in Healthcare 麻豆原创 Dynamics
2.3.1 AI in Healthcare Industry Trends
2.3.2 AI in Healthcare 麻豆原创 Drivers
2.3.3 AI in Healthcare 麻豆原创 Challenges
2.3.4 AI in Healthcare 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue AI in Healthcare by Players
3.1.1 Global AI in Healthcare Revenue by Players (2018-2023)
3.1.2 Global AI in Healthcare Revenue 麻豆原创 Share by Players (2018-2023)
3.2 Global AI in Healthcare 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of AI in Healthcare, Ranking by Revenue, 2021 VS 2022 VS 2023
3.4 Global AI in Healthcare 麻豆原创 Concentration Ratio
3.4.1 Global AI in Healthcare 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI in Healthcare Revenue in 2022
3.5 Global Key Players of AI in Healthcare Head office and Area Served
3.6 Global Key Players of AI in Healthcare, Product and Application
3.7 Global Key Players of AI in Healthcare, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI in Healthcare Breakdown Data by Type
4.1 Global AI in Healthcare Historic 麻豆原创 Size by Type (2018-2023)
4.2 Global AI in Healthcare Forecasted 麻豆原创 Size by Type (2024-2029)
5 AI in Healthcare Breakdown Data by Application
5.1 Global AI in Healthcare Historic 麻豆原创 Size by Application (2018-2023)
5.2 Global AI in Healthcare Forecasted 麻豆原创 Size by Application (2024-2029)
6 North America
6.1 North America AI in Healthcare 麻豆原创 Size (2018-2029)
6.2 North America AI in Healthcare 麻豆原创 Size by Type
6.2.1 North America AI in Healthcare 麻豆原创 Size by Type (2018-2023)
6.2.2 North America AI in Healthcare 麻豆原创 Size by Type (2024-2029)
6.2.3 North America AI in Healthcare 麻豆原创 Share by Type (2018-2029)
6.3 North America AI in Healthcare 麻豆原创 Size by Application
6.3.1 North America AI in Healthcare 麻豆原创 Size by Application (2018-2023)
6.3.2 North America AI in Healthcare 麻豆原创 Size by Application (2024-2029)
6.3.3 North America AI in Healthcare 麻豆原创 Share by Application (2018-2029)
6.4 North America AI in Healthcare 麻豆原创 Size by Country
6.4.1 North America AI in Healthcare 麻豆原创 Size by Country: 2018 VS 2022 VS 2029
6.4.2 North America AI in Healthcare 麻豆原创 Size by Country (2018-2023)
6.4.3 North America AI in Healthcare 麻豆原创 Size by Country (2024-2029)
6.4.4 U.S.
6.4.5 Canada
7 Europe
7.1 Europe AI in Healthcare 麻豆原创 Size (2018-2029)
7.2 Europe AI in Healthcare 麻豆原创 Size by Type
7.2.1 Europe AI in Healthcare 麻豆原创 Size by Type (2018-2023)
7.2.2 Europe AI in Healthcare 麻豆原创 Size by Type (2024-2029)
7.2.3 Europe AI in Healthcare 麻豆原创 Share by Type (2018-2029)
7.3 Europe AI in Healthcare 麻豆原创 Size by Application
7.3.1 Europe AI in Healthcare 麻豆原创 Size by Application (2018-2023)
7.3.2 Europe AI in Healthcare 麻豆原创 Size by Application (2024-2029)
7.3.3 Europe AI in Healthcare 麻豆原创 Share by Application (2018-2029)
7.4 Europe AI in Healthcare 麻豆原创 Size by Country
7.4.1 Europe AI in Healthcare 麻豆原创 Size by Country: 2018 VS 2022 VS 2029
7.4.2 Europe AI in Healthcare 麻豆原创 Size by Country (2018-2023)
7.4.3 Europe AI in Healthcare 麻豆原创 Size by Country (2024-2029)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China AI in Healthcare 麻豆原创 Size (2018-2029)
8.2 China AI in Healthcare 麻豆原创 Size by Type
8.2.1 China AI in Healthcare 麻豆原创 Size by Type (2018-2023)
8.2.2 China AI in Healthcare 麻豆原创 Size by Type (2024-2029)
8.2.3 China AI in Healthcare 麻豆原创 Share by Type (2018-2029)
8.3 China AI in Healthcare 麻豆原创 Size by Application
8.3.1 China AI in Healthcare 麻豆原创 Size by Application (2018-2023)
8.3.2 China AI in Healthcare 麻豆原创 Size by Application (2024-2029)
8.3.3 China AI in Healthcare 麻豆原创 Share by Application (2018-2029)
9 Asia (excluding China)
9.1 Asia AI in Healthcare 麻豆原创 Size (2018-2029)
9.2 Asia AI in Healthcare 麻豆原创 Size by Type
9.2.1 Asia AI in Healthcare 麻豆原创 Size by Type (2018-2023)
9.2.2 Asia AI in Healthcare 麻豆原创 Size by Type (2024-2029)
9.2.3 Asia AI in Healthcare 麻豆原创 Share by Type (2018-2029)
9.3 Asia AI in Healthcare 麻豆原创 Size by Application
9.3.1 Asia AI in Healthcare 麻豆原创 Size by Application (2018-2023)
9.3.2 Asia AI in Healthcare 麻豆原创 Size by Application (2024-2029)
9.3.3 Asia AI in Healthcare 麻豆原创 Share by Application (2018-2029)
9.4 Asia AI in Healthcare 麻豆原创 Size by Region
9.4.1 Asia AI in Healthcare 麻豆原创 Size by Region: 2018 VS 2022 VS 2029
9.4.2 Asia AI in Healthcare 麻豆原创 Size by Region (2018-2023)
9.4.3 Asia AI in Healthcare 麻豆原创 Size by Region (2024-2029)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America AI in Healthcare 麻豆原创 Size (2018-2029)
10.2 Middle East, Africa, and Latin America AI in Healthcare 麻豆原创 Size by Type
10.2.1 Middle East, Africa, and Latin America AI in Healthcare 麻豆原创 Size by Type (2018-2023)
10.2.2 Middle East, Africa, and Latin America AI in Healthcare 麻豆原创 Size by Type (2024-2029)
10.2.3 Middle East, Africa, and Latin America AI in Healthcare 麻豆原创 Share by Type (2018-2029)
10.3 Middle East, Africa, and Latin America AI in Healthcare 麻豆原创 Size by Application
10.3.1 Middle East, Africa, and Latin America AI in Healthcare 麻豆原创 Size by Application (2018-2023)
10.3.2 Middle East, Africa, and Latin America AI in Healthcare 麻豆原创 Size by Application (2024-2029)
10.3.3 Middle East, Africa, and Latin America AI in Healthcare 麻豆原创 Share by Application (2018-2029)
10.4 Middle East, Africa, and Latin America AI in Healthcare 麻豆原创 Size by Country
10.4.1 Middle East, Africa, and Latin America AI in Healthcare 麻豆原创 Size by Country: 2018 VS 2022 VS 2029
10.4.2 Middle East, Africa, and Latin America AI in Healthcare 麻豆原创 Size by Country (2018-2023)
10.4.3 Middle East, Africa, and Latin America AI in Healthcare 麻豆原创 Size by Country (2024-2029)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 NVIDIA
11.1.1 NVIDIA Company Details
11.1.2 NVIDIA Business Overview
11.1.3 NVIDIA AI in Healthcare Introduction
11.1.4 NVIDIA Revenue in AI in Healthcare Business (2018-2023)
11.1.5 NVIDIA Recent Developments
11.2 Google
11.2.1 Google Company Details
11.2.2 Google Business Overview
11.2.3 Google AI in Healthcare Introduction
11.2.4 Google Revenue in AI in Healthcare Business (2018-2023)
11.2.5 Google Recent Developments
11.3 IBM
11.3.1 IBM Company Details
11.3.2 IBM Business Overview
11.3.3 IBM AI in Healthcare Introduction
11.3.4 IBM Revenue in AI in Healthcare Business (2018-2023)
11.3.5 IBM Recent Developments
11.4 Microsoft
11.4.1 Microsoft Company Details
11.4.2 Microsoft Business Overview
11.4.3 Microsoft AI in Healthcare Introduction
11.4.4 Microsoft Revenue in AI in Healthcare Business (2018-2023)
11.4.5 Microsoft Recent Developments
11.5 General Vision
11.5.1 General Vision Company Details
11.5.2 General Vision Business Overview
11.5.3 General Vision AI in Healthcare Introduction
11.5.4 General Vision Revenue in AI in Healthcare Business (2018-2023)
11.5.5 General Vision Recent Developments
11.6 Enlitic
11.6.1 Enlitic Company Details
11.6.2 Enlitic Business Overview
11.6.3 Enlitic AI in Healthcare Introduction
11.6.4 Enlitic Revenue in AI in Healthcare Business (2018-2023)
11.6.5 Enlitic Recent Developments
11.7 Next IT
11.7.1 Next IT Company Details
11.7.2 Next IT Business Overview
11.7.3 Next IT AI in Healthcare Introduction
11.7.4 Next IT Revenue in AI in Healthcare Business (2018-2023)
11.7.5 Next IT Recent Developments
11.8 Welltok
11.8.1 Welltok Company Details
11.8.2 Welltok Business Overview
11.8.3 Welltok AI in Healthcare Introduction
11.8.4 Welltok Revenue in AI in Healthcare Business (2018-2023)
11.8.5 Welltok Recent Developments
11.9 ICarbonX
11.9.1 ICarbonX Company Details
11.9.2 ICarbonX Business Overview
11.9.3 ICarbonX AI in Healthcare Introduction
11.9.4 ICarbonX Revenue in AI in Healthcare Business (2018-2023)
11.9.5 ICarbonX Recent Developments
11.10 Recursion Pharmaceuticals
11.10.1 Recursion Pharmaceuticals Company Details
11.10.2 Recursion Pharmaceuticals Business Overview
11.10.3 Recursion Pharmaceuticals AI in Healthcare Introduction
11.10.4 Recursion Pharmaceuticals Revenue in AI in Healthcare Business (2018-2023)
11.10.5 Recursion Pharmaceuticals Recent Developments
11.11 GE
11.11.1 GE Company Details
11.11.2 GE Business Overview
11.11.3 GE AI in Healthcare Introduction
11.11.4 GE Revenue in AI in Healthcare Business (2018-2023)
11.11.5 GE Recent Developments
11.12 Siemens
11.12.1 Siemens Company Details
11.12.2 Siemens Business Overview
11.12.3 Siemens AI in Healthcare Introduction
11.12.4 Siemens Revenue in AI in Healthcare Business (2018-2023)
11.12.5 Siemens Recent Developments
11.13 Johnson & Johnson
11.13.1 Johnson & Johnson Company Details
11.13.2 Johnson & Johnson Business Overview
11.13.3 Johnson & Johnson AI in Healthcare Introduction
11.13.4 Johnson & Johnson Revenue in AI in Healthcare Business (2018-2023)
11.13.5 Johnson & Johnson Recent Developments
11.14 Medtronic
11.14.1 Medtronic Company Details
11.14.2 Medtronic Business Overview
11.14.3 Medtronic AI in Healthcare Introduction
11.14.4 Medtronic Revenue in AI in Healthcare Business (2018-2023)
11.14.5 Medtronic Recent Developments
11.15 Careskore
11.15.1 Careskore Company Details
11.15.2 Careskore Business Overview
11.15.3 Careskore AI in Healthcare Introduction
11.15.4 Careskore Revenue in AI in Healthcare Business (2018-2023)
11.15.5 Careskore Recent Developments
11.16 Zephyr Health
11.16.1 Zephyr Health Company Details
11.16.2 Zephyr Health Business Overview
11.16.3 Zephyr Health AI in Healthcare Introduction
11.16.4 Zephyr Health Revenue in AI in Healthcare Business (2018-2023)
11.16.5 Zephyr Health Recent Developments
11.17 Oncora Medical
11.17.1 Oncora Medical Company Details
11.17.2 Oncora Medical Business Overview
11.17.3 Oncora Medical AI in Healthcare Introduction
11.17.4 Oncora Medical Revenue in AI in Healthcare Business (2018-2023)
11.17.5 Oncora Medical Recent Developments
11.18 Sentrian
11.18.1 Sentrian Company Details
11.18.2 Sentrian Business Overview
11.18.3 Sentrian AI in Healthcare Introduction
11.18.4 Sentrian Revenue in AI in Healthcare Business (2018-2023)
11.18.5 Sentrian Recent Developments
11.19 Bay Labs
11.19.1 Bay Labs Company Details
11.19.2 Bay Labs Business Overview
11.19.3 Bay Labs AI in Healthcare Introduction
11.19.4 Bay Labs Revenue in AI in Healthcare Business (2018-2023)
11.19.5 Bay Labs Recent Developments
11.20 Deep Genomics
11.20.1 Deep Genomics Company Details
11.20.2 Deep Genomics Business Overview
11.20.3 Deep Genomics AI in Healthcare Introduction
11.20.4 Deep Genomics Revenue in AI in Healthcare Business (2018-2023)
11.20.5 Deep Genomics Recent Developments
11.21 Cloudmedx
11.21.1 Cloudmedx Company Details
11.21.2 Cloudmedx Business Overview
11.21.3 Cloudmedx AI in Healthcare Introduction
11.21.4 Cloudmedx Revenue in AI in Healthcare Business (2018-2023)
11.21.5 Cloudmedx Recent Developments
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
NVIDIA
Google
IBM
Microsoft
General Vision
Enlitic
Next IT
Welltok
ICarbonX
Recursion Pharmaceuticals
GE
Siemens
Johnson & Johnson
Medtronic
Careskore
Zephyr Health
Oncora Medical
Sentrian
Bay Labs
Deep Genomics
Cloudmedx
听
听
*If Applicable.
