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Global Machine Learning in Medical Imaging Market Research Report 2024
Synopsis
Medical imaging analytics tools become more readily available, providers are likely to find strong incentives to investigate the best way to integrate artificial intelligence/machine learning into their imaging strategies. Machine Learning in Medical Imaging has awfully increasing development trend.
The global Machine Learning in Medical Imaging 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 Machine Learning in Medical Imaging, 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 Machine Learning in Medical Imaging.
Report Scope
The Machine Learning in Medical Imaging 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 Machine Learning in Medical Imaging 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 Machine Learning in Medical Imaging 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
Zebra
Arterys
Aidoc
MaxQ AI
Google
Tencent
Alibaba
Segment by Type
Supervised Learning
Unsupervised Learning
Semi Supervised Learning
Reinforced Leaning
Segment by Application
Breast
Lung
Neurology
Cardiovascular
Liver
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 Machine Learning in Medical Imaging 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.
Medical imaging analytics tools become more readily available, providers are likely to find strong incentives to investigate the best way to integrate artificial intelligence/machine learning into their imaging strategies. Machine Learning in Medical Imaging has awfully increasing development trend.
The global Machine Learning in Medical Imaging 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 Machine Learning in Medical Imaging, 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 Machine Learning in Medical Imaging.
Report Scope
The Machine Learning in Medical Imaging 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 Machine Learning in Medical Imaging 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 Machine Learning in Medical Imaging 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
Zebra
Arterys
Aidoc
MaxQ AI
Tencent
Alibaba
Segment by Type
Supervised Learning
Unsupervised Learning
Semi Supervised Learning
Reinforced Leaning
Segment by Application
Breast
Lung
Neurology
Cardiovascular
Liver
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 Machine Learning in Medical Imaging 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.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Machine Learning in Medical Imaging 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 Medical Imaging Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Breast
1.3.3 Lung
1.3.4 Neurology
1.3.5 Cardiovascular
1.3.6 Liver
1.3.7 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning in Medical Imaging Market Perspective (2019-2030)
2.2 Machine Learning in Medical Imaging Growth Trends by Region
2.2.1 Global Machine Learning in Medical Imaging Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Machine Learning in Medical Imaging Historic Market Size by Region (2019-2024)
2.2.3 Machine Learning in Medical Imaging Forecasted Market Size by Region (2025-2030)
2.3 Machine Learning in Medical Imaging Market Dynamics
2.3.1 Machine Learning in Medical Imaging Industry Trends
2.3.2 Machine Learning in Medical Imaging Market Drivers
2.3.3 Machine Learning in Medical Imaging Market Challenges
2.3.4 Machine Learning in Medical Imaging Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Machine Learning in Medical Imaging Players by Revenue
3.1.1 Global Top Machine Learning in Medical Imaging Players by Revenue (2019-2024)
3.1.2 Global Machine Learning in Medical Imaging Revenue Market Share by Players (2019-2024)
3.2 Global Machine Learning in Medical Imaging Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Machine Learning in Medical Imaging Revenue
3.4 Global Machine Learning in Medical Imaging Market Concentration Ratio
3.4.1 Global Machine Learning in Medical Imaging Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Learning in Medical Imaging Revenue in 2023
3.5 Machine Learning in Medical Imaging Key Players Head office and Area Served
3.6 Key Players Machine Learning in Medical Imaging Product Solution and Service
3.7 Date of Enter into Machine Learning in Medical Imaging Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Learning in Medical Imaging Breakdown Data by Type
4.1 Global Machine Learning in Medical Imaging Historic Market Size by Type (2019-2024)
4.2 Global Machine Learning in Medical Imaging Forecasted Market Size by Type (2025-2030)
5 Machine Learning in Medical Imaging Breakdown Data by Application
5.1 Global Machine Learning in Medical Imaging Historic Market Size by Application (2019-2024)
5.2 Global Machine Learning in Medical Imaging Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Machine Learning in Medical Imaging Market Size (2019-2030)
6.2 North America Machine Learning in Medical Imaging Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Machine Learning in Medical Imaging Market Size by Country (2019-2024)
6.4 North America Machine Learning in Medical Imaging Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine Learning in Medical Imaging Market Size (2019-2030)
7.2 Europe Machine Learning in Medical Imaging Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Machine Learning in Medical Imaging Market Size by Country (2019-2024)
7.4 Europe Machine Learning in Medical Imaging 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 Machine Learning in Medical Imaging Market Size (2019-2030)
8.2 Asia-Pacific Machine Learning in Medical Imaging Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Machine Learning in Medical Imaging Market Size by Region (2019-2024)
8.4 Asia-Pacific Machine Learning in Medical Imaging 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 Machine Learning in Medical Imaging Market Size (2019-2030)
9.2 Latin America Machine Learning in Medical Imaging Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Machine Learning in Medical Imaging Market Size by Country (2019-2024)
9.4 Latin America Machine Learning in Medical Imaging Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine Learning in Medical Imaging Market Size (2019-2030)
10.2 Middle East & Africa Machine Learning in Medical Imaging Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Machine Learning in Medical Imaging Market Size by Country (2019-2024)
10.4 Middle East & Africa Machine Learning in Medical Imaging Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Zebra
11.1.1 Zebra Company Detail
11.1.2 Zebra Business Overview
11.1.3 Zebra Machine Learning in Medical Imaging Introduction
11.1.4 Zebra Revenue in Machine Learning in Medical Imaging Business (2019-2024)
11.1.5 Zebra Recent Development
11.2 Arterys
11.2.1 Arterys Company Detail
11.2.2 Arterys Business Overview
11.2.3 Arterys Machine Learning in Medical Imaging Introduction
11.2.4 Arterys Revenue in Machine Learning in Medical Imaging Business (2019-2024)
11.2.5 Arterys Recent Development
11.3 Aidoc
11.3.1 Aidoc Company Detail
11.3.2 Aidoc Business Overview
11.3.3 Aidoc Machine Learning in Medical Imaging Introduction
11.3.4 Aidoc Revenue in Machine Learning in Medical Imaging Business (2019-2024)
11.3.5 Aidoc Recent Development
11.4 MaxQ AI
11.4.1 MaxQ AI Company Detail
11.4.2 MaxQ AI Business Overview
11.4.3 MaxQ AI Machine Learning in Medical Imaging Introduction
11.4.4 MaxQ AI Revenue in Machine Learning in Medical Imaging Business (2019-2024)
11.4.5 MaxQ AI Recent Development
11.5 Google
11.5.1 Google Company Detail
11.5.2 Google Business Overview
11.5.3 Google Machine Learning in Medical Imaging Introduction
11.5.4 Google Revenue in Machine Learning in Medical Imaging Business (2019-2024)
11.5.5 Google Recent Development
11.6 Tencent
11.6.1 Tencent Company Detail
11.6.2 Tencent Business Overview
11.6.3 Tencent Machine Learning in Medical Imaging Introduction
11.6.4 Tencent Revenue in Machine Learning in Medical Imaging Business (2019-2024)
11.6.5 Tencent Recent Development
11.7 Alibaba
11.7.1 Alibaba Company Detail
11.7.2 Alibaba Business Overview
11.7.3 Alibaba Machine Learning in Medical Imaging Introduction
11.7.4 Alibaba Revenue in Machine Learning in Medical Imaging Business (2019-2024)
11.7.5 Alibaba 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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