AI in healthcare is听an umbrella term to describe the application of machine learning (ML) algorithms and other cognitive technologies in medical settings. In the simplest sense, AI is when computers and other machines mimic human cognition, and are capable of learning, thinking, and making decisions or taking actions.
The global market for Healthcare AI and Machine Learning 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 Healthcare AI and Machine Learning, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Healthcare AI and Machine Learning by region & country, by Type, and by Application.
The Healthcare AI and Machine Learning 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 Healthcare AI and Machine Learning.
Market Segmentation
By Company
Intel
Koninklijke Philips
Microsoft
Siemens Healthineers
NVIDIA Corporation
Google
General Electric
Medtronic
Micron Technology
Amazon Web Services (AWS)
Johnson & Johnson Services
Startup Ecosystem
Merative
CloudMedx
Oncora Medical
Enlitic
Lunit Inc.
Qure AI
Arterys
COTA Healthcare
FDNA
Recursion
Atomwise
Virgin Pulse
Babylon Health
Segment by Type:
Machine Learning
Natural Language Processing
Context鈥揳ware Computing
Computer Vision
Segment by Application
Hospitals
Pharmaceuticals
Patients
Others
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 Healthcare AI and Machine Learning 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 Healthcare AI and Machine Learning 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 Healthcare AI and Machine Learning 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 Market Overview
1.1 Healthcare AI and Machine Learning Product Introduction
1.2 Global Healthcare AI and Machine Learning Market Size Forecast
1.3 Healthcare AI and Machine Learning Market Trends & Drivers
1.3.1 Healthcare AI and Machine Learning Industry Trends
1.3.2 Healthcare AI and Machine Learning Market Drivers & Opportunity
1.3.3 Healthcare AI and Machine Learning Market Challenges
1.3.4 Healthcare AI and Machine Learning Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Healthcare AI and Machine Learning Players Revenue Ranking (2023)
2.2 Global Healthcare AI and Machine Learning Revenue by Company (2019-2024)
2.3 Key Companies Healthcare AI and Machine Learning Manufacturing Base Distribution and Headquarters
2.4 Key Companies Healthcare AI and Machine Learning Product Offered
2.5 Key Companies Time to Begin Mass Production of Healthcare AI and Machine Learning
2.6 Healthcare AI and Machine Learning Market Competitive Analysis
2.6.1 Healthcare AI and Machine Learning Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Healthcare AI and Machine Learning Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Healthcare AI and Machine Learning as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Machine Learning
3.1.2 Natural Language Processing
3.1.3 Context鈥揳ware Computing
3.1.4 Computer Vision
3.2 Global Healthcare AI and Machine Learning Sales Value by Type
3.2.1 Global Healthcare AI and Machine Learning Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Healthcare AI and Machine Learning Sales Value, by Type (2019-2030)
3.2.3 Global Healthcare AI and Machine Learning Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Hospitals
4.1.2 Pharmaceuticals
4.1.3 Patients
4.1.4 Others
4.2 Global Healthcare AI and Machine Learning Sales Value by Application
4.2.1 Global Healthcare AI and Machine Learning Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Healthcare AI and Machine Learning Sales Value, by Application (2019-2030)
4.2.3 Global Healthcare AI and Machine Learning Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Healthcare AI and Machine Learning Sales Value by Region
5.1.1 Global Healthcare AI and Machine Learning Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Healthcare AI and Machine Learning Sales Value by Region (2019-2024)
5.1.3 Global Healthcare AI and Machine Learning Sales Value by Region (2025-2030)
5.1.4 Global Healthcare AI and Machine Learning Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Healthcare AI and Machine Learning Sales Value, 2019-2030
5.2.2 North America Healthcare AI and Machine Learning Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Healthcare AI and Machine Learning Sales Value, 2019-2030
5.3.2 Europe Healthcare AI and Machine Learning Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Healthcare AI and Machine Learning Sales Value, 2019-2030
5.4.2 Asia Pacific Healthcare AI and Machine Learning Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Healthcare AI and Machine Learning Sales Value, 2019-2030
5.5.2 South America Healthcare AI and Machine Learning Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Healthcare AI and Machine Learning Sales Value, 2019-2030
5.6.2 Middle East & Africa Healthcare AI and Machine Learning Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Healthcare AI and Machine Learning Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Healthcare AI and Machine Learning Sales Value
6.3 United States
6.3.1 United States Healthcare AI and Machine Learning Sales Value, 2019-2030
6.3.2 United States Healthcare AI and Machine Learning Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Healthcare AI and Machine Learning Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Healthcare AI and Machine Learning Sales Value, 2019-2030
6.4.2 Europe Healthcare AI and Machine Learning Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Healthcare AI and Machine Learning Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Healthcare AI and Machine Learning Sales Value, 2019-2030
6.5.2 China Healthcare AI and Machine Learning Sales Value by Type (%), 2023 VS 2030
6.5.3 China Healthcare AI and Machine Learning Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Healthcare AI and Machine Learning Sales Value, 2019-2030
6.6.2 Japan Healthcare AI and Machine Learning Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Healthcare AI and Machine Learning Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Healthcare AI and Machine Learning Sales Value, 2019-2030
6.7.2 South Korea Healthcare AI and Machine Learning Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Healthcare AI and Machine Learning Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Healthcare AI and Machine Learning Sales Value, 2019-2030
6.8.2 Southeast Asia Healthcare AI and Machine Learning Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Healthcare AI and Machine Learning Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Healthcare AI and Machine Learning Sales Value, 2019-2030
6.9.2 India Healthcare AI and Machine Learning Sales Value by Type (%), 2023 VS 2030
6.9.3 India Healthcare AI and Machine Learning Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Intel
7.1.1 Intel Profile
7.1.2 Intel Main Business
7.1.3 Intel Healthcare AI and Machine Learning Products, Services and Solutions
7.1.4 Intel Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.1.5 Intel Recent Developments
7.2 Koninklijke Philips
7.2.1 Koninklijke Philips Profile
7.2.2 Koninklijke Philips Main Business
7.2.3 Koninklijke Philips Healthcare AI and Machine Learning Products, Services and Solutions
7.2.4 Koninklijke Philips Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.2.5 Koninklijke Philips Recent Developments
7.3 Microsoft
7.3.1 Microsoft Profile
7.3.2 Microsoft Main Business
7.3.3 Microsoft Healthcare AI and Machine Learning Products, Services and Solutions
7.3.4 Microsoft Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.3.5 Siemens Healthineers Recent Developments
7.4 Siemens Healthineers
7.4.1 Siemens Healthineers Profile
7.4.2 Siemens Healthineers Main Business
7.4.3 Siemens Healthineers Healthcare AI and Machine Learning Products, Services and Solutions
7.4.4 Siemens Healthineers Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.4.5 Siemens Healthineers Recent Developments
7.5 NVIDIA Corporation
7.5.1 NVIDIA Corporation Profile
7.5.2 NVIDIA Corporation Main Business
7.5.3 NVIDIA Corporation Healthcare AI and Machine Learning Products, Services and Solutions
7.5.4 NVIDIA Corporation Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.5.5 NVIDIA Corporation Recent Developments
7.6 Google
7.6.1 Google Profile
7.6.2 Google Main Business
7.6.3 Google Healthcare AI and Machine Learning Products, Services and Solutions
7.6.4 Google Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.6.5 Google Recent Developments
7.7 General Electric
7.7.1 General Electric Profile
7.7.2 General Electric Main Business
7.7.3 General Electric Healthcare AI and Machine Learning Products, Services and Solutions
7.7.4 General Electric Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.7.5 General Electric Recent Developments
7.8 Medtronic
7.8.1 Medtronic Profile
7.8.2 Medtronic Main Business
7.8.3 Medtronic Healthcare AI and Machine Learning Products, Services and Solutions
7.8.4 Medtronic Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.8.5 Medtronic Recent Developments
7.9 Micron Technology
7.9.1 Micron Technology Profile
7.9.2 Micron Technology Main Business
7.9.3 Micron Technology Healthcare AI and Machine Learning Products, Services and Solutions
7.9.4 Micron Technology Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.9.5 Micron Technology Recent Developments
7.10 Amazon Web Services (AWS)
7.10.1 Amazon Web Services (AWS) Profile
7.10.2 Amazon Web Services (AWS) Main Business
7.10.3 Amazon Web Services (AWS) Healthcare AI and Machine Learning Products, Services and Solutions
7.10.4 Amazon Web Services (AWS) Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.10.5 Amazon Web Services (AWS) Recent Developments
7.11 Johnson & Johnson Services
7.11.1 Johnson & Johnson Services Profile
7.11.2 Johnson & Johnson Services Main Business
7.11.3 Johnson & Johnson Services Healthcare AI and Machine Learning Products, Services and Solutions
7.11.4 Johnson & Johnson Services Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.11.5 Johnson & Johnson Services Recent Developments
7.12 Startup Ecosystem
7.12.1 Startup Ecosystem Profile
7.12.2 Startup Ecosystem Main Business
7.12.3 Startup Ecosystem Healthcare AI and Machine Learning Products, Services and Solutions
7.12.4 Startup Ecosystem Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.12.5 Startup Ecosystem Recent Developments
7.13 Merative
7.13.1 Merative Profile
7.13.2 Merative Main Business
7.13.3 Merative Healthcare AI and Machine Learning Products, Services and Solutions
7.13.4 Merative Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.13.5 Merative Recent Developments
7.14 CloudMedx
7.14.1 CloudMedx Profile
7.14.2 CloudMedx Main Business
7.14.3 CloudMedx Healthcare AI and Machine Learning Products, Services and Solutions
7.14.4 CloudMedx Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.14.5 CloudMedx Recent Developments
7.15 Oncora Medical
7.15.1 Oncora Medical Profile
7.15.2 Oncora Medical Main Business
7.15.3 Oncora Medical Healthcare AI and Machine Learning Products, Services and Solutions
7.15.4 Oncora Medical Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.15.5 Oncora Medical Recent Developments
7.16 Enlitic
7.16.1 Enlitic Profile
7.16.2 Enlitic Main Business
7.16.3 Enlitic Healthcare AI and Machine Learning Products, Services and Solutions
7.16.4 Enlitic Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.16.5 Enlitic Recent Developments
7.17 Lunit Inc.
7.17.1 Lunit Inc. Profile
7.17.2 Lunit Inc. Main Business
7.17.3 Lunit Inc. Healthcare AI and Machine Learning Products, Services and Solutions
7.17.4 Lunit Inc. Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.17.5 Lunit Inc. Recent Developments
7.18 Qure AI
7.18.1 Qure AI Profile
7.18.2 Qure AI Main Business
7.18.3 Qure AI Healthcare AI and Machine Learning Products, Services and Solutions
7.18.4 Qure AI Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.18.5 Qure AI Recent Developments
7.19 Arterys
7.19.1 Arterys Profile
7.19.2 Arterys Main Business
7.19.3 Arterys Healthcare AI and Machine Learning Products, Services and Solutions
7.19.4 Arterys Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.19.5 Arterys Recent Developments
7.20 COTA Healthcare
7.20.1 COTA Healthcare Profile
7.20.2 COTA Healthcare Main Business
7.20.3 COTA Healthcare Healthcare AI and Machine Learning Products, Services and Solutions
7.20.4 COTA Healthcare Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.20.5 COTA Healthcare Recent Developments
7.21 FDNA
7.21.1 FDNA Profile
7.21.2 FDNA Main Business
7.21.3 FDNA Healthcare AI and Machine Learning Products, Services and Solutions
7.21.4 FDNA Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.21.5 FDNA Recent Developments
7.22 Recursion
7.22.1 Recursion Profile
7.22.2 Recursion Main Business
7.22.3 Recursion Healthcare AI and Machine Learning Products, Services and Solutions
7.22.4 Recursion Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.22.5 Recursion Recent Developments
7.23 Atomwise
7.23.1 Atomwise Profile
7.23.2 Atomwise Main Business
7.23.3 Atomwise Healthcare AI and Machine Learning Products, Services and Solutions
7.23.4 Atomwise Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.23.5 Atomwise Recent Developments
7.24 Virgin Pulse
7.24.1 Virgin Pulse Profile
7.24.2 Virgin Pulse Main Business
7.24.3 Virgin Pulse Healthcare AI and Machine Learning Products, Services and Solutions
7.24.4 Virgin Pulse Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.24.5 Virgin Pulse Recent Developments
7.25 Babylon Health
7.25.1 Babylon Health Profile
7.25.2 Babylon Health Main Business
7.25.3 Babylon Health Healthcare AI and Machine Learning Products, Services and Solutions
7.25.4 Babylon Health Healthcare AI and Machine Learning Revenue (US$ Million) & (2019-2024)
7.25.5 Babylon Health Recent Developments
8 Industry Chain Analysis
8.1 Healthcare AI and Machine Learning Industrial Chain
8.2 Healthcare AI and Machine Learning 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 Healthcare AI and Machine Learning Sales Model
8.5.2 Sales Channel
8.5.3 Healthcare AI and Machine Learning 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
Intel
Koninklijke Philips
Microsoft
Siemens Healthineers
NVIDIA Corporation
Google
General Electric
Medtronic
Micron Technology
Amazon Web Services (AWS)
Johnson & Johnson Services
Startup Ecosystem
Merative
CloudMedx
Oncora Medical
Enlitic
Lunit Inc.
Qure AI
Arterys
COTA Healthcare
FDNA
Recursion
Atomwise
Virgin Pulse
Babylon Health
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听
*If Applicable.
