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Global AI Technology in Healthcare Market Research Report 2024
Synopsis
AI (Artificial Intelligence) technology is revolutionizing healthcare by offering innovative solutions that improve patient care, enhance medical research, streamline administrative processes, and optimize healthcare operations. AI in healthcare involves the use of algorithms, machine learning, natural language processing (NLP), and computer vision to analyze data, make predictions, and assist healthcare professionals in decision-making.
Global AI Technology in Healthcare market is projected to reach US$ million in 2029, increasing from US$ million in 2022, with the CAGR of % during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole AI Technology in Healthcare market research.
The global market for AI technology in healthcare was experiencing substantial growth, driven by the increasing adoption of AI-powered solutions by healthcare organizations to improve patient care, enhance operational efficiency, and advance medical research. The convergence of AI, machine learning, big data analytics, and cloud computing created new possibilities in healthcare applications, leading to the development of various AI-based solutions for medical imaging, diagnostics, drug discovery, and personalized medicine. The adoption of AI technology in healthcare was widespread across regions, with North America, Europe, and Asia-Pacific being the key markets. North America, led by the United States, dominated the market due to its well-established healthcare infrastructure, high investment in AI research, and a robust ecosystem of tech companies and startups focused on healthcare AI. Europe also accounted for a significant market share, with countries like the United Kingdom, Germany, and France showing strong interest in AI applications in healthcare. In the Asia-Pacific region, countries like China, Japan, and India were witnessing notable growth in AI technology adoption for healthcare.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global AI Technology in Healthcare market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
Intel
IBM
Google
Medtronic
Enlitic
BioSymetrics
Subtle Medical
Nvidia
Sensely
GE
Siemens
Philips
Butterfly Network
Johnson & Johnson
Komodo Health
Arterys
Oncora Medical
Babylon Health
Segment by Type
AI Medical Imaging
CDSS
AI Medical Robot
Data Intelligence Platform
Wisdom Case
AI Pharmaceutical
Others
Segment by Application
Hospital
Pharmaceutical Company
Research Institute
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
Turkey
Saudi Arabia
UAE
Rest of MEA
The AI Technology in Healthcare report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies’ Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
AI (Artificial Intelligence) technology is revolutionizing healthcare by offering innovative solutions that improve patient care, enhance medical research, streamline administrative processes, and optimize healthcare operations. AI in healthcare involves the use of algorithms, machine learning, natural language processing (NLP), and computer vision to analyze data, make predictions, and assist healthcare professionals in decision-making.
Global AI Technology in Healthcare market is projected to reach US$ million in 2029, increasing from US$ million in 2022, with the CAGR of % during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole AI Technology in Healthcare market research.
The global market for AI technology in healthcare was experiencing substantial growth, driven by the increasing adoption of AI-powered solutions by healthcare organizations to improve patient care, enhance operational efficiency, and advance medical research. The convergence of AI, machine learning, big data analytics, and cloud computing created new possibilities in healthcare applications, leading to the development of various AI-based solutions for medical imaging, diagnostics, drug discovery, and personalized medicine. The adoption of AI technology in healthcare was widespread across regions, with North America, Europe, and Asia-Pacific being the key markets. North America, led by the United States, dominated the market due to its well-established healthcare infrastructure, high investment in AI research, and a robust ecosystem of tech companies and startups focused on healthcare AI. Europe also accounted for a significant market share, with countries like the United Kingdom, Germany, and France showing strong interest in AI applications in healthcare. In the Asia-Pacific region, countries like China, Japan, and India were witnessing notable growth in AI technology adoption for healthcare.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global AI Technology in Healthcare market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
Intel
IBM
Medtronic
Enlitic
BioSymetrics
Subtle Medical
Nvidia
Sensely
GE
Siemens
Philips
Butterfly Network
Johnson & Johnson
Komodo Health
Arterys
Oncora Medical
Babylon Health
Segment by Type
AI Medical Imaging
CDSS
AI Medical Robot
Data Intelligence Platform
Wisdom Case
AI Pharmaceutical
Others
Segment by Application
Hospital
Pharmaceutical Company
Research Institute
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
Turkey
Saudi Arabia
UAE
Rest of MEA
The AI Technology in Healthcare report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies’ Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI Technology in Healthcare Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 AI Medical Imaging
1.2.3 CDSS
1.2.4 AI Medical Robot
1.2.5 Data Intelligence Platform
1.2.6 Wisdom Case
1.2.7 AI Pharmaceutical
1.2.8 Others
1.3 Market by Application
1.3.1 Global AI Technology in Healthcare Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Hospital
1.3.3 Pharmaceutical Company
1.3.4 Research Institute
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Technology in Healthcare Market Perspective (2018-2029)
2.2 AI Technology in Healthcare Growth Trends by Region
2.2.1 Global AI Technology in Healthcare Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 AI Technology in Healthcare Historic Market Size by Region (2018-2023)
2.2.3 AI Technology in Healthcare Forecasted Market Size by Region (2024-2029)
2.3 AI Technology in Healthcare Market Dynamics
2.3.1 AI Technology in Healthcare Industry Trends
2.3.2 AI Technology in Healthcare Market Drivers
2.3.3 AI Technology in Healthcare Market Challenges
2.3.4 AI Technology in Healthcare Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Technology in Healthcare Players by Revenue
3.1.1 Global Top AI Technology in Healthcare Players by Revenue (2018-2023)
3.1.2 Global AI Technology in Healthcare Revenue Market Share by Players (2018-2023)
3.2 Global AI Technology in Healthcare Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI Technology in Healthcare Revenue
3.4 Global AI Technology in Healthcare Market Concentration Ratio
3.4.1 Global AI Technology in Healthcare Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Technology in Healthcare Revenue in 2022
3.5 AI Technology in Healthcare Key Players Head office and Area Served
3.6 Key Players AI Technology in Healthcare Product Solution and Service
3.7 Date of Enter into AI Technology in Healthcare Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Technology in Healthcare Breakdown Data by Type
4.1 Global AI Technology in Healthcare Historic Market Size by Type (2018-2023)
4.2 Global AI Technology in Healthcare Forecasted Market Size by Type (2024-2029)
5 AI Technology in Healthcare Breakdown Data by Application
5.1 Global AI Technology in Healthcare Historic Market Size by Application (2018-2023)
5.2 Global AI Technology in Healthcare Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America AI Technology in Healthcare Market Size (2018-2029)
6.2 North America AI Technology in Healthcare Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America AI Technology in Healthcare Market Size by Country (2018-2023)
6.4 North America AI Technology in Healthcare Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Technology in Healthcare Market Size (2018-2029)
7.2 Europe AI Technology in Healthcare Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe AI Technology in Healthcare Market Size by Country (2018-2023)
7.4 Europe AI Technology in Healthcare 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 AI Technology in Healthcare Market Size (2018-2029)
8.2 Asia-Pacific AI Technology in Healthcare Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific AI Technology in Healthcare Market Size by Region (2018-2023)
8.4 Asia-Pacific AI Technology in Healthcare 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 AI Technology in Healthcare Market Size (2018-2029)
9.2 Latin America AI Technology in Healthcare Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America AI Technology in Healthcare Market Size by Country (2018-2023)
9.4 Latin America AI Technology in Healthcare Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Technology in Healthcare Market Size (2018-2029)
10.2 Middle East & Africa AI Technology in Healthcare Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa AI Technology in Healthcare Market Size by Country (2018-2023)
10.4 Middle East & Africa AI Technology in Healthcare Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Intel
11.1.1 Intel Company Detail
11.1.2 Intel Business Overview
11.1.3 Intel AI Technology in Healthcare Introduction
11.1.4 Intel Revenue in AI Technology in Healthcare Business (2018-2023)
11.1.5 Intel Recent Development
11.2 IBM
11.2.1 IBM Company Detail
11.2.2 IBM Business Overview
11.2.3 IBM AI Technology in Healthcare Introduction
11.2.4 IBM Revenue in AI Technology in Healthcare Business (2018-2023)
11.2.5 IBM Recent Development
11.3 Google
11.3.1 Google Company Detail
11.3.2 Google Business Overview
11.3.3 Google AI Technology in Healthcare Introduction
11.3.4 Google Revenue in AI Technology in Healthcare Business (2018-2023)
11.3.5 Google Recent Development
11.4 Medtronic
11.4.1 Medtronic Company Detail
11.4.2 Medtronic Business Overview
11.4.3 Medtronic AI Technology in Healthcare Introduction
11.4.4 Medtronic Revenue in AI Technology in Healthcare Business (2018-2023)
11.4.5 Medtronic Recent Development
11.5 Enlitic
11.5.1 Enlitic Company Detail
11.5.2 Enlitic Business Overview
11.5.3 Enlitic AI Technology in Healthcare Introduction
11.5.4 Enlitic Revenue in AI Technology in Healthcare Business (2018-2023)
11.5.5 Enlitic Recent Development
11.6 BioSymetrics
11.6.1 BioSymetrics Company Detail
11.6.2 BioSymetrics Business Overview
11.6.3 BioSymetrics AI Technology in Healthcare Introduction
11.6.4 BioSymetrics Revenue in AI Technology in Healthcare Business (2018-2023)
11.6.5 BioSymetrics Recent Development
11.7 Subtle Medical
11.7.1 Subtle Medical Company Detail
11.7.2 Subtle Medical Business Overview
11.7.3 Subtle Medical AI Technology in Healthcare Introduction
11.7.4 Subtle Medical Revenue in AI Technology in Healthcare Business (2018-2023)
11.7.5 Subtle Medical Recent Development
11.8 Nvidia
11.8.1 Nvidia Company Detail
11.8.2 Nvidia Business Overview
11.8.3 Nvidia AI Technology in Healthcare Introduction
11.8.4 Nvidia Revenue in AI Technology in Healthcare Business (2018-2023)
11.8.5 Nvidia Recent Development
11.9 Sensely
11.9.1 Sensely Company Detail
11.9.2 Sensely Business Overview
11.9.3 Sensely AI Technology in Healthcare Introduction
11.9.4 Sensely Revenue in AI Technology in Healthcare Business (2018-2023)
11.9.5 Sensely Recent Development
11.10 GE
11.10.1 GE Company Detail
11.10.2 GE Business Overview
11.10.3 GE AI Technology in Healthcare Introduction
11.10.4 GE Revenue in AI Technology in Healthcare Business (2018-2023)
11.10.5 GE Recent Development
11.11 Siemens
11.11.1 Siemens Company Detail
11.11.2 Siemens Business Overview
11.11.3 Siemens AI Technology in Healthcare Introduction
11.11.4 Siemens Revenue in AI Technology in Healthcare Business (2018-2023)
11.11.5 Siemens Recent Development
11.12 Philips
11.12.1 Philips Company Detail
11.12.2 Philips Business Overview
11.12.3 Philips AI Technology in Healthcare Introduction
11.12.4 Philips Revenue in AI Technology in Healthcare Business (2018-2023)
11.12.5 Philips Recent Development
11.13 Butterfly Network
11.13.1 Butterfly Network Company Detail
11.13.2 Butterfly Network Business Overview
11.13.3 Butterfly Network AI Technology in Healthcare Introduction
11.13.4 Butterfly Network Revenue in AI Technology in Healthcare Business (2018-2023)
11.13.5 Butterfly Network Recent Development
11.14 Johnson & Johnson
11.14.1 Johnson & Johnson Company Detail
11.14.2 Johnson & Johnson Business Overview
11.14.3 Johnson & Johnson AI Technology in Healthcare Introduction
11.14.4 Johnson & Johnson Revenue in AI Technology in Healthcare Business (2018-2023)
11.14.5 Johnson & Johnson Recent Development
11.15 Komodo Health
11.15.1 Komodo Health Company Detail
11.15.2 Komodo Health Business Overview
11.15.3 Komodo Health AI Technology in Healthcare Introduction
11.15.4 Komodo Health Revenue in AI Technology in Healthcare Business (2018-2023)
11.15.5 Komodo Health Recent Development
11.16 Arterys
11.16.1 Arterys Company Detail
11.16.2 Arterys Business Overview
11.16.3 Arterys AI Technology in Healthcare Introduction
11.16.4 Arterys Revenue in AI Technology in Healthcare Business (2018-2023)
11.16.5 Arterys Recent Development
11.17 Oncora Medical
11.17.1 Oncora Medical Company Detail
11.17.2 Oncora Medical Business Overview
11.17.3 Oncora Medical AI Technology in Healthcare Introduction
11.17.4 Oncora Medical Revenue in AI Technology in Healthcare Business (2018-2023)
11.17.5 Oncora Medical Recent Development
11.18 Babylon Health
11.18.1 Babylon Health Company Detail
11.18.2 Babylon Health Business Overview
11.18.3 Babylon Health AI Technology in Healthcare Introduction
11.18.4 Babylon Health Revenue in AI Technology in Healthcare Business (2018-2023)
11.18.5 Babylon 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
Published By : QY Research
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