Machine Learning (ML) provides methods, techniques, and tools that can help solving diagnostic and prognostic problems in a variety of medical domains.
Market Analysis and Insights: Global Machine Learning in Medicine Market
The global Machine Learning in Medicine market is projected to grow from US$ million in 2024 to US$ million by 2030, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
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 Covers:
This report presents an overview of global market for Machine Learning in Medicine market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Machine Learning in Medicine, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Machine Learning in Medicine, 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 Machine Learning in Medicine revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global Machine Learning in Medicine 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 2019 to 2030. Evaluation and forecast the market size for Machine Learning in Medicine revenue, projected growth trends, production technology, application and end-user industry.
Market Segmentation
By Company
Google
Bio Beats
Jvion
Lumiata
DreaMed
Healint
Arterys
Atomwise
Health Fidelity
Ginger
Segment by Type
Supervised Learning
Unsupervised Learning
Semi Supervised Learning
Reinforced Leaning
Segment by Application
Diagnosis
Drug Discovery
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
China
Asia (excluding China)
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America, Middle East & Africa
Brazil
Mexico
Turkey
Israel
GCC Countries
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 Machine Learning in Medicine 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 Machine Learning in Medicine 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 (US & Canada) 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, Machine Learning in Medicine revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions
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 Machine Learning in Medicine Market Size Growth Rate by Type, 2019 VS 2023 VS 2030
1.2.2 Supervised Learning
1.2.3 Unsupervised Learning
1.2.4 Semi Supervised Learning
1.2.5 Reinforced Leaning
1.3 Market by Application
1.3.1 Global Machine Learning in Medicine Market Size Growth Rate by Application, 2019 VS 2023 VS 2030
1.3.2 Diagnosis
1.3.3 Drug Discovery
1.3.4 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning in Medicine Market Perspective (2019-2030)
2.2 Global Machine Learning in Medicine Growth Trends by Region
2.2.1 Machine Learning in Medicine Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Machine Learning in Medicine Historic Market Size by Region (2019-2024)
2.2.3 Machine Learning in Medicine Forecasted Market Size by Region (2025-2030)
2.3 Machine Learning in Medicine Market Dynamics
2.3.1 Machine Learning in Medicine Industry Trends
2.3.2 Machine Learning in Medicine Market Drivers
2.3.3 Machine Learning in Medicine Market Challenges
2.3.4 Machine Learning in Medicine Market Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Machine Learning in Medicine by Players
3.1.1 Global Machine Learning in Medicine Revenue by Players (2019-2024)
3.1.2 Global Machine Learning in Medicine Revenue Market Share by Players (2019-2024)
3.2 Global Machine Learning in Medicine Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Machine Learning in Medicine, Ranking by Revenue, 2022 VS 2023 VS 2024
3.4 Global Machine Learning in Medicine Market Concentration Ratio
3.4.1 Global Machine Learning in Medicine Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Learning in Medicine Revenue in 2023
3.5 Global Key Players of Machine Learning in Medicine Head office and Area Served
3.6 Global Key Players of Machine Learning in Medicine, Product and Application
3.7 Global Key Players of Machine Learning in Medicine, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Learning in Medicine Breakdown Data by Type
4.1 Global Machine Learning in Medicine Historic Market Size by Type (2019-2024)
4.2 Global Machine Learning in Medicine Forecasted Market Size by Type (2025-2030)
5 Machine Learning in Medicine Breakdown Data by Application
5.1 Global Machine Learning in Medicine Historic Market Size by Application (2019-2024)
5.2 Global Machine Learning in Medicine Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Machine Learning in Medicine Market Size (2019-2030)
6.2 North America Machine Learning in Medicine Market Size by Type
6.2.1 North America Machine Learning in Medicine Market Size by Type (2019-2024)
6.2.2 North America Machine Learning in Medicine Market Size by Type (2025-2030)
6.2.3 North America Machine Learning in Medicine Market Share by Type (2019-2030)
6.3 North America Machine Learning in Medicine Market Size by Application
6.3.1 North America Machine Learning in Medicine Market Size by Application (2019-2024)
6.3.2 North America Machine Learning in Medicine Market Size by Application (2025-2030)
6.3.3 North America Machine Learning in Medicine Market Share by Application (2019-2030)
6.4 North America Machine Learning in Medicine Market Size by Country
6.4.1 North America Machine Learning in Medicine Market Size by Country: 2019 VS 2023 VS 2030
6.4.2 North America Machine Learning in Medicine Market Size by Country (2019-2024)
6.4.3 North America Machine Learning in Medicine Market Size by Country (2025-2030)
6.4.4 U.S.
6.4.5 Canada
7 Europe
7.1 Europe Machine Learning in Medicine Market Size (2019-2030)
7.2 Europe Machine Learning in Medicine Market Size by Type
7.2.1 Europe Machine Learning in Medicine Market Size by Type (2019-2024)
7.2.2 Europe Machine Learning in Medicine Market Size by Type (2025-2030)
7.2.3 Europe Machine Learning in Medicine Market Share by Type (2019-2030)
7.3 Europe Machine Learning in Medicine Market Size by Application
7.3.1 Europe Machine Learning in Medicine Market Size by Application (2019-2024)
7.3.2 Europe Machine Learning in Medicine Market Size by Application (2025-2030)
7.3.3 Europe Machine Learning in Medicine Market Share by Application (2019-2030)
7.4 Europe Machine Learning in Medicine Market Size by Country
7.4.1 Europe Machine Learning in Medicine Market Size by Country: 2019 VS 2023 VS 2030
7.4.2 Europe Machine Learning in Medicine Market Size by Country (2019-2024)
7.4.3 Europe Machine Learning in Medicine Market Size by Country (2025-2030)
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 Machine Learning in Medicine Market Size (2019-2030)
8.2 China Machine Learning in Medicine Market Size by Type
8.2.1 China Machine Learning in Medicine Market Size by Type (2019-2024)
8.2.2 China Machine Learning in Medicine Market Size by Type (2025-2030)
8.2.3 China Machine Learning in Medicine Market Share by Type (2019-2030)
8.3 China Machine Learning in Medicine Market Size by Application
8.3.1 China Machine Learning in Medicine Market Size by Application (2019-2024)
8.3.2 China Machine Learning in Medicine Market Size by Application (2025-2030)
8.3.3 China Machine Learning in Medicine Market Share by Application (2019-2030)
9 Asia (excluding China)
9.1 Asia Machine Learning in Medicine Market Size (2019-2030)
9.2 Asia Machine Learning in Medicine Market Size by Type
9.2.1 Asia Machine Learning in Medicine Market Size by Type (2019-2024)
9.2.2 Asia Machine Learning in Medicine Market Size by Type (2025-2030)
9.2.3 Asia Machine Learning in Medicine Market Share by Type (2019-2030)
9.3 Asia Machine Learning in Medicine Market Size by Application
9.3.1 Asia Machine Learning in Medicine Market Size by Application (2019-2024)
9.3.2 Asia Machine Learning in Medicine Market Size by Application (2025-2030)
9.3.3 Asia Machine Learning in Medicine Market Share by Application (2019-2030)
9.4 Asia Machine Learning in Medicine Market Size by Region
9.4.1 Asia Machine Learning in Medicine Market Size by Region: 2019 VS 2023 VS 2030
9.4.2 Asia Machine Learning in Medicine Market Size by Region (2019-2024)
9.4.3 Asia Machine Learning in Medicine Market Size by Region (2025-2030)
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 Machine Learning in Medicine Market Size (2019-2030)
10.2 Middle East, Africa, and Latin America Machine Learning in Medicine Market Size by Type
10.2.1 Middle East, Africa, and Latin America Machine Learning in Medicine Market Size by Type (2019-2024)
10.2.2 Middle East, Africa, and Latin America Machine Learning in Medicine Market Size by Type (2025-2030)
10.2.3 Middle East, Africa, and Latin America Machine Learning in Medicine Market Share by Type (2019-2030)
10.3 Middle East, Africa, and Latin America Machine Learning in Medicine Market Size by Application
10.3.1 Middle East, Africa, and Latin America Machine Learning in Medicine Market Size by Application (2019-2024)
10.3.2 Middle East, Africa, and Latin America Machine Learning in Medicine Market Size by Application (2025-2030)
10.3.3 Middle East, Africa, and Latin America Machine Learning in Medicine Market Share by Application (2019-2030)
10.4 Middle East, Africa, and Latin America Machine Learning in Medicine Market Size by Country
10.4.1 Middle East, Africa, and Latin America Machine Learning in Medicine Market Size by Country: 2019 VS 2023 VS 2030
10.4.2 Middle East, Africa, and Latin America Machine Learning in Medicine Market Size by Country (2019-2024)
10.4.3 Middle East, Africa, and Latin America Machine Learning in Medicine Market Size by Country (2025-2030)
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 Google
11.1.1 Google Company Details
11.1.2 Google Business Overview
11.1.3 Google Machine Learning in Medicine Introduction
11.1.4 Google Revenue in Machine Learning in Medicine Business (2019-2024)
11.1.5 Google Recent Developments
11.2 Bio Beats
11.2.1 Bio Beats Company Details
11.2.2 Bio Beats Business Overview
11.2.3 Bio Beats Machine Learning in Medicine Introduction
11.2.4 Bio Beats Revenue in Machine Learning in Medicine Business (2019-2024)
11.2.5 Bio Beats Recent Developments
11.3 Jvion
11.3.1 Jvion Company Details
11.3.2 Jvion Business Overview
11.3.3 Jvion Machine Learning in Medicine Introduction
11.3.4 Jvion Revenue in Machine Learning in Medicine Business (2019-2024)
11.3.5 Jvion Recent Developments
11.4 Lumiata
11.4.1 Lumiata Company Details
11.4.2 Lumiata Business Overview
11.4.3 Lumiata Machine Learning in Medicine Introduction
11.4.4 Lumiata Revenue in Machine Learning in Medicine Business (2019-2024)
11.4.5 Lumiata Recent Developments
11.5 DreaMed
11.5.1 DreaMed Company Details
11.5.2 DreaMed Business Overview
11.5.3 DreaMed Machine Learning in Medicine Introduction
11.5.4 DreaMed Revenue in Machine Learning in Medicine Business (2019-2024)
11.5.5 DreaMed Recent Developments
11.6 Healint
11.6.1 Healint Company Details
11.6.2 Healint Business Overview
11.6.3 Healint Machine Learning in Medicine Introduction
11.6.4 Healint Revenue in Machine Learning in Medicine Business (2019-2024)
11.6.5 Healint Recent Developments
11.7 Arterys
11.7.1 Arterys Company Details
11.7.2 Arterys Business Overview
11.7.3 Arterys Machine Learning in Medicine Introduction
11.7.4 Arterys Revenue in Machine Learning in Medicine Business (2019-2024)
11.7.5 Arterys Recent Developments
11.8 Atomwise
11.8.1 Atomwise Company Details
11.8.2 Atomwise Business Overview
11.8.3 Atomwise Machine Learning in Medicine Introduction
11.8.4 Atomwise Revenue in Machine Learning in Medicine Business (2019-2024)
11.8.5 Atomwise Recent Developments
11.9 Health Fidelity
11.9.1 Health Fidelity Company Details
11.9.2 Health Fidelity Business Overview
11.9.3 Health Fidelity Machine Learning in Medicine Introduction
11.9.4 Health Fidelity Revenue in Machine Learning in Medicine Business (2019-2024)
11.9.5 Health Fidelity Recent Developments
11.10 Ginger
11.10.1 Ginger Company Details
11.10.2 Ginger Business Overview
11.10.3 Ginger Machine Learning in Medicine Introduction
11.10.4 Ginger Revenue in Machine Learning in Medicine Business (2019-2024)
11.10.5 Ginger 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
Google
Bio Beats
Jvion
Lumiata
DreaMed
Healint
Arterys
Atomwise
Health Fidelity
Ginger
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*If Applicable.
