AI in healthcare isĚýan 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 Healthcare AI and Machine Learning market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing 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.
This report aims to provide a comprehensive presentation of the global market for Healthcare AI and Machine Learning, 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.
Report Scope
The Healthcare AI and Machine Learning market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Healthcare AI and Machine Learning 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 Healthcare AI and Machine Learning companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
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–aware Computing
Computer Vision
Segment by Application
Hospitals
Pharmaceuticals
Patients
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
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 Healthcare AI and Machine Learning 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 main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Healthcare AI and Machine Learning Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Machine Learning
1.2.3 Natural Language Processing
1.2.4 Context–aware Computing
1.2.5 Computer Vision
1.3 Market by Application
1.3.1 Global Healthcare AI and Machine Learning Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Hospitals
1.3.3 Pharmaceuticals
1.3.4 Patients
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Healthcare AI and Machine Learning Market Perspective (2019-2030)
2.2 Healthcare AI and Machine Learning Growth Trends by Region
2.2.1 Global Healthcare AI and Machine Learning Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Healthcare AI and Machine Learning Historic Market Size by Region (2019-2024)
2.2.3 Healthcare AI and Machine Learning Forecasted Market Size by Region (2025-2030)
2.3 Healthcare AI and Machine Learning Market Dynamics
2.3.1 Healthcare AI and Machine Learning Industry Trends
2.3.2 Healthcare AI and Machine Learning Market Drivers
2.3.3 Healthcare AI and Machine Learning Market Challenges
2.3.4 Healthcare AI and Machine Learning Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Healthcare AI and Machine Learning Players by Revenue
3.1.1 Global Top Healthcare AI and Machine Learning Players by Revenue (2019-2024)
3.1.2 Global Healthcare AI and Machine Learning Revenue Market Share by Players (2019-2024)
3.2 Global Healthcare AI and Machine Learning Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Healthcare AI and Machine Learning Revenue
3.4 Global Healthcare AI and Machine Learning Market Concentration Ratio
3.4.1 Global Healthcare AI and Machine Learning Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Healthcare AI and Machine Learning Revenue in 2023
3.5 Healthcare AI and Machine Learning Key Players Head office and Area Served
3.6 Key Players Healthcare AI and Machine Learning Product Solution and Service
3.7 Date of Enter into Healthcare AI and Machine Learning Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Healthcare AI and Machine Learning Breakdown Data by Type
4.1 Global Healthcare AI and Machine Learning Historic Market Size by Type (2019-2024)
4.2 Global Healthcare AI and Machine Learning Forecasted Market Size by Type (2025-2030)
5 Healthcare AI and Machine Learning Breakdown Data by Application
5.1 Global Healthcare AI and Machine Learning Historic Market Size by Application (2019-2024)
5.2 Global Healthcare AI and Machine Learning Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Healthcare AI and Machine Learning Market Size (2019-2030)
6.2 North America Healthcare AI and Machine Learning Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Healthcare AI and Machine Learning Market Size by Country (2019-2024)
6.4 North America Healthcare AI and Machine Learning Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Healthcare AI and Machine Learning Market Size (2019-2030)
7.2 Europe Healthcare AI and Machine Learning Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Healthcare AI and Machine Learning Market Size by Country (2019-2024)
7.4 Europe Healthcare AI and Machine Learning Market Size by Country (2025-2030)
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 Healthcare AI and Machine Learning Market Size (2019-2030)
8.2 Asia-Pacific Healthcare AI and Machine Learning Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Healthcare AI and Machine Learning Market Size by Region (2019-2024)
8.4 Asia-Pacific Healthcare AI and Machine Learning Market Size by Region (2025-2030)
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 Healthcare AI and Machine Learning Market Size (2019-2030)
9.2 Latin America Healthcare AI and Machine Learning Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Healthcare AI and Machine Learning Market Size by Country (2019-2024)
9.4 Latin America Healthcare AI and Machine Learning Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Healthcare AI and Machine Learning Market Size (2019-2030)
10.2 Middle East & Africa Healthcare AI and Machine Learning Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Healthcare AI and Machine Learning Market Size by Country (2019-2024)
10.4 Middle East & Africa Healthcare AI and Machine Learning Market Size by Country (2025-2030)
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 Healthcare AI and Machine Learning Introduction
11.1.4 Intel Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.1.5 Intel Recent Development
11.2 Koninklijke Philips
11.2.1 Koninklijke Philips Company Detail
11.2.2 Koninklijke Philips Business Overview
11.2.3 Koninklijke Philips Healthcare AI and Machine Learning Introduction
11.2.4 Koninklijke Philips Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.2.5 Koninklijke Philips Recent Development
11.3 Microsoft
11.3.1 Microsoft Company Detail
11.3.2 Microsoft Business Overview
11.3.3 Microsoft Healthcare AI and Machine Learning Introduction
11.3.4 Microsoft Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.3.5 Microsoft Recent Development
11.4 Siemens Healthineers
11.4.1 Siemens Healthineers Company Detail
11.4.2 Siemens Healthineers Business Overview
11.4.3 Siemens Healthineers Healthcare AI and Machine Learning Introduction
11.4.4 Siemens Healthineers Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.4.5 Siemens Healthineers Recent Development
11.5 NVIDIA Corporation
11.5.1 NVIDIA Corporation Company Detail
11.5.2 NVIDIA Corporation Business Overview
11.5.3 NVIDIA Corporation Healthcare AI and Machine Learning Introduction
11.5.4 NVIDIA Corporation Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.5.5 NVIDIA Corporation Recent Development
11.6 Google
11.6.1 Google Company Detail
11.6.2 Google Business Overview
11.6.3 Google Healthcare AI and Machine Learning Introduction
11.6.4 Google Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.6.5 Google Recent Development
11.7 General Electric
11.7.1 General Electric Company Detail
11.7.2 General Electric Business Overview
11.7.3 General Electric Healthcare AI and Machine Learning Introduction
11.7.4 General Electric Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.7.5 General Electric Recent Development
11.8 Medtronic
11.8.1 Medtronic Company Detail
11.8.2 Medtronic Business Overview
11.8.3 Medtronic Healthcare AI and Machine Learning Introduction
11.8.4 Medtronic Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.8.5 Medtronic Recent Development
11.9 Micron Technology
11.9.1 Micron Technology Company Detail
11.9.2 Micron Technology Business Overview
11.9.3 Micron Technology Healthcare AI and Machine Learning Introduction
11.9.4 Micron Technology Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.9.5 Micron Technology Recent Development
11.10 Amazon Web Services (AWS)
11.10.1 Amazon Web Services (AWS) Company Detail
11.10.2 Amazon Web Services (AWS) Business Overview
11.10.3 Amazon Web Services (AWS) Healthcare AI and Machine Learning Introduction
11.10.4 Amazon Web Services (AWS) Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.10.5 Amazon Web Services (AWS) Recent Development
11.11 Johnson & Johnson Services
11.11.1 Johnson & Johnson Services Company Detail
11.11.2 Johnson & Johnson Services Business Overview
11.11.3 Johnson & Johnson Services Healthcare AI and Machine Learning Introduction
11.11.4 Johnson & Johnson Services Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.11.5 Johnson & Johnson Services Recent Development
11.12 Startup Ecosystem
11.12.1 Startup Ecosystem Company Detail
11.12.2 Startup Ecosystem Business Overview
11.12.3 Startup Ecosystem Healthcare AI and Machine Learning Introduction
11.12.4 Startup Ecosystem Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.12.5 Startup Ecosystem Recent Development
11.13 Merative
11.13.1 Merative Company Detail
11.13.2 Merative Business Overview
11.13.3 Merative Healthcare AI and Machine Learning Introduction
11.13.4 Merative Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.13.5 Merative Recent Development
11.14 CloudMedx
11.14.1 CloudMedx Company Detail
11.14.2 CloudMedx Business Overview
11.14.3 CloudMedx Healthcare AI and Machine Learning Introduction
11.14.4 CloudMedx Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.14.5 CloudMedx Recent Development
11.15 Oncora Medical
11.15.1 Oncora Medical Company Detail
11.15.2 Oncora Medical Business Overview
11.15.3 Oncora Medical Healthcare AI and Machine Learning Introduction
11.15.4 Oncora Medical Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.15.5 Oncora Medical Recent Development
11.16 Enlitic
11.16.1 Enlitic Company Detail
11.16.2 Enlitic Business Overview
11.16.3 Enlitic Healthcare AI and Machine Learning Introduction
11.16.4 Enlitic Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.16.5 Enlitic Recent Development
11.17 Lunit Inc.
11.17.1 Lunit Inc. Company Detail
11.17.2 Lunit Inc. Business Overview
11.17.3 Lunit Inc. Healthcare AI and Machine Learning Introduction
11.17.4 Lunit Inc. Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.17.5 Lunit Inc. Recent Development
11.18 Qure AI
11.18.1 Qure AI Company Detail
11.18.2 Qure AI Business Overview
11.18.3 Qure AI Healthcare AI and Machine Learning Introduction
11.18.4 Qure AI Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.18.5 Qure AI Recent Development
11.19 Arterys
11.19.1 Arterys Company Detail
11.19.2 Arterys Business Overview
11.19.3 Arterys Healthcare AI and Machine Learning Introduction
11.19.4 Arterys Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.19.5 Arterys Recent Development
11.20 COTA Healthcare
11.20.1 COTA Healthcare Company Detail
11.20.2 COTA Healthcare Business Overview
11.20.3 COTA Healthcare Healthcare AI and Machine Learning Introduction
11.20.4 COTA Healthcare Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.20.5 COTA Healthcare Recent Development
11.21 FDNA
11.21.1 FDNA Company Detail
11.21.2 FDNA Business Overview
11.21.3 FDNA Healthcare AI and Machine Learning Introduction
11.21.4 FDNA Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.21.5 FDNA Recent Development
11.22 Recursion
11.22.1 Recursion Company Detail
11.22.2 Recursion Business Overview
11.22.3 Recursion Healthcare AI and Machine Learning Introduction
11.22.4 Recursion Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.22.5 Recursion Recent Development
11.23 Atomwise
11.23.1 Atomwise Company Detail
11.23.2 Atomwise Business Overview
11.23.3 Atomwise Healthcare AI and Machine Learning Introduction
11.23.4 Atomwise Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.23.5 Atomwise Recent Development
11.24 Virgin Pulse
11.24.1 Virgin Pulse Company Detail
11.24.2 Virgin Pulse Business Overview
11.24.3 Virgin Pulse Healthcare AI and Machine Learning Introduction
11.24.4 Virgin Pulse Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.24.5 Virgin Pulse Recent Development
11.25 Babylon Health
11.25.1 Babylon Health Company Detail
11.25.2 Babylon Health Business Overview
11.25.3 Babylon Health Healthcare AI and Machine Learning Introduction
11.25.4 Babylon Health Revenue in Healthcare AI and Machine Learning Business (2019-2024)
11.25.5 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
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
Ěý
Ěý
*If Applicable.
