Artificial intelligence (AI) in healthcare is the use of complex algorithms and software to emulate human cognition in the analysis of complicated medical data. Specifically, AI is the ability of computer algorithms to approximate conclusions without direct human input.
What distinguishes AI technology from traditional technologies in health care is the ability to gain information, process it and give a well-defined output to the end-user. AI does this through machine learning algorithms. These algorithms can recognize patterns in behavior and create their own logic. In order to reduce the margin of error, AI algorithms need to be tested repeatedly. The primary aim of health-related AI applications is to analyze relationships between prevention or treatment techniques and patient outcomes. AI programs have been developed and applied to practices such as diagnosis processes, treatment protocol development, drug development, personalized medicine, and patient monitoring and care. Additionally, hospitals are looking to AI solutions[buzzword] to support operational initiatives that increase cost saving, improve patient satisfaction, and satisfy their staffing and workforce needspanies are developing predictive analytics solutions that help healthcare managers improve business operations through increasing utilization, decreasing patient boarding, reducing length of stay and optimizing staffing levels.
The global market for Artificial Intelligence In Healthcare Service was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % 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.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence In Healthcare Service, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Artificial Intelligence In Healthcare Service by region & country, by Type, and by Application.
The Artificial Intelligence In Healthcare Service market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 Artificial Intelligence In Healthcare Service.
麻豆原创 Segmentation
By Company
IBM
Microsoft
Enlitic
Arterys
Atomwise
Freenome
Butterfly Network
Jvion
Apixio
Roche(Flatiron Health)
Ayasdi
Welltok
Segment by Type:
Machine Learning鈥揘eural Networks And Deep Learning
Natural Language Processing
Rule-Based Expert Systems
Physical Robots
Robotic Process Automation
Other
Segment by Application
Patient Data and Risk Analysis
Lifestyle Management and Monitoring
Precision Medicine
In-Patient Care and Hospital Management
Medical Imaging and Diagnosis
Other
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Artificial Intelligence In Healthcare Service manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Artificial Intelligence In Healthcare Service in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Artificial Intelligence In Healthcare Service in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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1 麻豆原创 Overview
1.1 Artificial Intelligence In Healthcare Service Product Introduction
1.2 Global Artificial Intelligence In Healthcare Service 麻豆原创 Size Forecast
1.3 Artificial Intelligence In Healthcare Service 麻豆原创 Trends & Drivers
1.3.1 Artificial Intelligence In Healthcare Service Industry Trends
1.3.2 Artificial Intelligence In Healthcare Service 麻豆原创 Drivers & Opportunity
1.3.3 Artificial Intelligence In Healthcare Service 麻豆原创 Challenges
1.3.4 Artificial Intelligence In Healthcare Service 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Artificial Intelligence In Healthcare Service Players Revenue Ranking (2023)
2.2 Global Artificial Intelligence In Healthcare Service Revenue by Company (2019-2024)
2.3 Key Companies Artificial Intelligence In Healthcare Service Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial Intelligence In Healthcare Service Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence In Healthcare Service
2.6 Artificial Intelligence In Healthcare Service 麻豆原创 Competitive Analysis
2.6.1 Artificial Intelligence In Healthcare Service 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence In Healthcare Service Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence In Healthcare Service as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Machine Learning鈥揘eural Networks And Deep Learning
3.1.2 Natural Language Processing
3.1.3 Rule-Based Expert Systems
3.1.4 Physical Robots
3.1.5 Robotic Process Automation
3.1.6 Other
3.2 Global Artificial Intelligence In Healthcare Service Sales Value by Type
3.2.1 Global Artificial Intelligence In Healthcare Service Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Artificial Intelligence In Healthcare Service Sales Value, by Type (2019-2030)
3.2.3 Global Artificial Intelligence In Healthcare Service Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Patient Data and Risk Analysis
4.1.2 Lifestyle Management and Monitoring
4.1.3 Precision Medicine
4.1.4 In-Patient Care and Hospital Management
4.1.5 Medical Imaging and Diagnosis
4.1.6 Other
4.2 Global Artificial Intelligence In Healthcare Service Sales Value by Application
4.2.1 Global Artificial Intelligence In Healthcare Service Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Artificial Intelligence In Healthcare Service Sales Value, by Application (2019-2030)
4.2.3 Global Artificial Intelligence In Healthcare Service Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Artificial Intelligence In Healthcare Service Sales Value by Region
5.1.1 Global Artificial Intelligence In Healthcare Service Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Artificial Intelligence In Healthcare Service Sales Value by Region (2019-2024)
5.1.3 Global Artificial Intelligence In Healthcare Service Sales Value by Region (2025-2030)
5.1.4 Global Artificial Intelligence In Healthcare Service Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Artificial Intelligence In Healthcare Service Sales Value, 2019-2030
5.2.2 North America Artificial Intelligence In Healthcare Service Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Artificial Intelligence In Healthcare Service Sales Value, 2019-2030
5.3.2 Europe Artificial Intelligence In Healthcare Service Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence In Healthcare Service Sales Value, 2019-2030
5.4.2 Asia Pacific Artificial Intelligence In Healthcare Service Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Artificial Intelligence In Healthcare Service Sales Value, 2019-2030
5.5.2 South America Artificial Intelligence In Healthcare Service Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence In Healthcare Service Sales Value, 2019-2030
5.6.2 Middle East & Africa Artificial Intelligence In Healthcare Service Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence In Healthcare Service Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Artificial Intelligence In Healthcare Service Sales Value
6.3 United States
6.3.1 United States Artificial Intelligence In Healthcare Service Sales Value, 2019-2030
6.3.2 United States Artificial Intelligence In Healthcare Service Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Artificial Intelligence In Healthcare Service Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Artificial Intelligence In Healthcare Service Sales Value, 2019-2030
6.4.2 Europe Artificial Intelligence In Healthcare Service Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Artificial Intelligence In Healthcare Service Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Artificial Intelligence In Healthcare Service Sales Value, 2019-2030
6.5.2 China Artificial Intelligence In Healthcare Service Sales Value by Type (%), 2023 VS 2030
6.5.3 China Artificial Intelligence In Healthcare Service Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Artificial Intelligence In Healthcare Service Sales Value, 2019-2030
6.6.2 Japan Artificial Intelligence In Healthcare Service Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Artificial Intelligence In Healthcare Service Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Artificial Intelligence In Healthcare Service Sales Value, 2019-2030
6.7.2 South Korea Artificial Intelligence In Healthcare Service Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Artificial Intelligence In Healthcare Service Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence In Healthcare Service Sales Value, 2019-2030
6.8.2 Southeast Asia Artificial Intelligence In Healthcare Service Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Artificial Intelligence In Healthcare Service Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Artificial Intelligence In Healthcare Service Sales Value, 2019-2030
6.9.2 India Artificial Intelligence In Healthcare Service Sales Value by Type (%), 2023 VS 2030
6.9.3 India Artificial Intelligence In Healthcare Service Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 IBM
7.1.1 IBM Profile
7.1.2 IBM Main Business
7.1.3 IBM Artificial Intelligence In Healthcare Service Products, Services and Solutions
7.1.4 IBM Artificial Intelligence In Healthcare Service Revenue (US$ Million) & (2019-2024)
7.1.5 IBM Recent Developments
7.2 Microsoft
7.2.1 Microsoft Profile
7.2.2 Microsoft Main Business
7.2.3 Microsoft Artificial Intelligence In Healthcare Service Products, Services and Solutions
7.2.4 Microsoft Artificial Intelligence In Healthcare Service Revenue (US$ Million) & (2019-2024)
7.2.5 Microsoft Recent Developments
7.3 Enlitic
7.3.1 Enlitic Profile
7.3.2 Enlitic Main Business
7.3.3 Enlitic Artificial Intelligence In Healthcare Service Products, Services and Solutions
7.3.4 Enlitic Artificial Intelligence In Healthcare Service Revenue (US$ Million) & (2019-2024)
7.3.5 Arterys Recent Developments
7.4 Arterys
7.4.1 Arterys Profile
7.4.2 Arterys Main Business
7.4.3 Arterys Artificial Intelligence In Healthcare Service Products, Services and Solutions
7.4.4 Arterys Artificial Intelligence In Healthcare Service Revenue (US$ Million) & (2019-2024)
7.4.5 Arterys Recent Developments
7.5 Atomwise
7.5.1 Atomwise Profile
7.5.2 Atomwise Main Business
7.5.3 Atomwise Artificial Intelligence In Healthcare Service Products, Services and Solutions
7.5.4 Atomwise Artificial Intelligence In Healthcare Service Revenue (US$ Million) & (2019-2024)
7.5.5 Atomwise Recent Developments
7.6 Freenome
7.6.1 Freenome Profile
7.6.2 Freenome Main Business
7.6.3 Freenome Artificial Intelligence In Healthcare Service Products, Services and Solutions
7.6.4 Freenome Artificial Intelligence In Healthcare Service Revenue (US$ Million) & (2019-2024)
7.6.5 Freenome Recent Developments
7.7 Butterfly Network
7.7.1 Butterfly Network Profile
7.7.2 Butterfly Network Main Business
7.7.3 Butterfly Network Artificial Intelligence In Healthcare Service Products, Services and Solutions
7.7.4 Butterfly Network Artificial Intelligence In Healthcare Service Revenue (US$ Million) & (2019-2024)
7.7.5 Butterfly Network Recent Developments
7.8 Jvion
7.8.1 Jvion Profile
7.8.2 Jvion Main Business
7.8.3 Jvion Artificial Intelligence In Healthcare Service Products, Services and Solutions
7.8.4 Jvion Artificial Intelligence In Healthcare Service Revenue (US$ Million) & (2019-2024)
7.8.5 Jvion Recent Developments
7.9 Apixio
7.9.1 Apixio Profile
7.9.2 Apixio Main Business
7.9.3 Apixio Artificial Intelligence In Healthcare Service Products, Services and Solutions
7.9.4 Apixio Artificial Intelligence In Healthcare Service Revenue (US$ Million) & (2019-2024)
7.9.5 Apixio Recent Developments
7.10 Roche(Flatiron Health)
7.10.1 Roche(Flatiron Health) Profile
7.10.2 Roche(Flatiron Health) Main Business
7.10.3 Roche(Flatiron Health) Artificial Intelligence In Healthcare Service Products, Services and Solutions
7.10.4 Roche(Flatiron Health) Artificial Intelligence In Healthcare Service Revenue (US$ Million) & (2019-2024)
7.10.5 Roche(Flatiron Health) Recent Developments
7.11 Ayasdi
7.11.1 Ayasdi Profile
7.11.2 Ayasdi Main Business
7.11.3 Ayasdi Artificial Intelligence In Healthcare Service Products, Services and Solutions
7.11.4 Ayasdi Artificial Intelligence In Healthcare Service Revenue (US$ Million) & (2019-2024)
7.11.5 Ayasdi Recent Developments
7.12 Welltok
7.12.1 Welltok Profile
7.12.2 Welltok Main Business
7.12.3 Welltok Artificial Intelligence In Healthcare Service Products, Services and Solutions
7.12.4 Welltok Artificial Intelligence In Healthcare Service Revenue (US$ Million) & (2019-2024)
7.12.5 Welltok Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence In Healthcare Service Industrial Chain
8.2 Artificial Intelligence In Healthcare Service Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Artificial Intelligence In Healthcare Service Sales Model
8.5.2 Sales Channel
8.5.3 Artificial Intelligence In Healthcare Service Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
IBM
Microsoft
Enlitic
Arterys
Atomwise
Freenome
Butterfly Network
Jvion
Apixio
Roche(Flatiron Health)
Ayasdi
Welltok
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听
*If Applicable.