The global Artificial Intelligence in Medical Diagnostics market size was valued at USD million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of % during review period.
Artificial intelligence in healthcare is the use of complex algorithms and software in another words artificial intelligence (AI) to emulate human cognition in the analysis, interpretation, and comprehension of complicated medical and healthcare 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 and deep learning. 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 use of AI is predicted to decrease medical costs as there will be more accuracy in diagnosis and better predictions in the treatment plan as well as more prevention of disease.
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.
The publisher report includes an overview of the development of the Artificial Intelligence in Medical Diagnostics industry chain, the market status of Cardiology (Software, Hardware), Oncology (Software, Hardware), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Artificial Intelligence in Medical Diagnostics.
Regionally, the report analyzes the Artificial Intelligence in Medical Diagnostics markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Artificial Intelligence in Medical Diagnostics market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Artificial Intelligence in Medical Diagnostics market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Artificial Intelligence in Medical Diagnostics industry.
The report involves analyzing the market at a macro level:
麻豆原创 Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Software, Hardware).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Artificial Intelligence in Medical Diagnostics market.
Regional Analysis: The report involves examining the Artificial Intelligence in Medical Diagnostics market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
麻豆原创 Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Artificial Intelligence in Medical Diagnostics market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Artificial Intelligence in Medical Diagnostics:
Company Analysis: Report covers individual Artificial Intelligence in Medical Diagnostics players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Artificial Intelligence in Medical Diagnostics This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Cardiology, Oncology).
Technology Analysis: Report covers specific technologies relevant to Artificial Intelligence in Medical Diagnostics. It assesses the current state, advancements, and potential future developments in Artificial Intelligence in Medical Diagnostics areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Artificial Intelligence in Medical Diagnostics market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
麻豆原创 Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
麻豆原创 Segmentation
Artificial Intelligence in Medical Diagnostics market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
麻豆原创 segment by Type
Software
Hardware
Services
麻豆原创 segment by Application
Cardiology
Oncology
Pathology
Radiology
Chest and Lung
Neurology
Others
麻豆原创 segment by players, this report covers
Aidoc
AliveCor
GE Healthcare
Imagen Technologies
Vuno Inc.
IDx Technologies Inc.
Siemens Healthcare GmbH
Neural Analytics
Riverain Technologies,
Zebra Medical Vision
麻豆原创 segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Artificial Intelligence in Medical Diagnostics product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Artificial Intelligence in Medical Diagnostics, with revenue, gross margin and global market share of Artificial Intelligence in Medical Diagnostics from 2019 to 2024.
Chapter 3, the Artificial Intelligence in Medical Diagnostics competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Artificial Intelligence in Medical Diagnostics market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Artificial Intelligence in Medical Diagnostics.
Chapter 13, to describe Artificial Intelligence in Medical Diagnostics research findings and conclusion.
Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.
1 麻豆原创 Overview
1.1 Product Overview and Scope of Artificial Intelligence in Medical Diagnostics
1.2 麻豆原创 Estimation Caveats and Base Year
1.3 Classification of Artificial Intelligence in Medical Diagnostics by Type
1.3.1 Overview: Global Artificial Intelligence in Medical Diagnostics 麻豆原创 Size by Type: 2019 Versus 2023 Versus 2030
1.3.2 Global Artificial Intelligence in Medical Diagnostics Consumption Value 麻豆原创 Share by Type in 2023
1.3.3 Software
1.3.4 Hardware
1.3.5 Services
1.4 Global Artificial Intelligence in Medical Diagnostics 麻豆原创 by Application
1.4.1 Overview: Global Artificial Intelligence in Medical Diagnostics 麻豆原创 Size by Application: 2019 Versus 2023 Versus 2030
1.4.2 Cardiology
1.4.3 Oncology
1.4.4 Pathology
1.4.5 Radiology
1.4.6 Chest and Lung
1.4.7 Neurology
1.4.8 Others
1.5 Global Artificial Intelligence in Medical Diagnostics 麻豆原创 Size & Forecast
1.6 Global Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Forecast by Region
1.6.1 Global Artificial Intelligence in Medical Diagnostics 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
1.6.2 Global Artificial Intelligence in Medical Diagnostics 麻豆原创 Size by Region, (2019-2030)
1.6.3 North America Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Prospect (2019-2030)
1.6.4 Europe Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Prospect (2019-2030)
1.6.5 Asia-Pacific Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Prospect (2019-2030)
1.6.6 South America Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Prospect (2019-2030)
1.6.7 Middle East and Africa Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Prospect (2019-2030)
2 Company Profiles
2.1 Aidoc
2.1.1 Aidoc Details
2.1.2 Aidoc Major Business
2.1.3 Aidoc Artificial Intelligence in Medical Diagnostics Product and Solutions
2.1.4 Aidoc Artificial Intelligence in Medical Diagnostics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.1.5 Aidoc Recent Developments and Future Plans
2.2 AliveCor
2.2.1 AliveCor Details
2.2.2 AliveCor Major Business
2.2.3 AliveCor Artificial Intelligence in Medical Diagnostics Product and Solutions
2.2.4 AliveCor Artificial Intelligence in Medical Diagnostics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.2.5 AliveCor Recent Developments and Future Plans
2.3 GE Healthcare
2.3.1 GE Healthcare Details
2.3.2 GE Healthcare Major Business
2.3.3 GE Healthcare Artificial Intelligence in Medical Diagnostics Product and Solutions
2.3.4 GE Healthcare Artificial Intelligence in Medical Diagnostics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.3.5 GE Healthcare Recent Developments and Future Plans
2.4 Imagen Technologies
2.4.1 Imagen Technologies Details
2.4.2 Imagen Technologies Major Business
2.4.3 Imagen Technologies Artificial Intelligence in Medical Diagnostics Product and Solutions
2.4.4 Imagen Technologies Artificial Intelligence in Medical Diagnostics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.4.5 Imagen Technologies Recent Developments and Future Plans
2.5 Vuno Inc.
2.5.1 Vuno Inc. Details
2.5.2 Vuno Inc. Major Business
2.5.3 Vuno Inc. Artificial Intelligence in Medical Diagnostics Product and Solutions
2.5.4 Vuno Inc. Artificial Intelligence in Medical Diagnostics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.5.5 Vuno Inc. Recent Developments and Future Plans
2.6 IDx Technologies Inc.
2.6.1 IDx Technologies Inc. Details
2.6.2 IDx Technologies Inc. Major Business
2.6.3 IDx Technologies Inc. Artificial Intelligence in Medical Diagnostics Product and Solutions
2.6.4 IDx Technologies Inc. Artificial Intelligence in Medical Diagnostics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.6.5 IDx Technologies Inc. Recent Developments and Future Plans
2.7 Siemens Healthcare GmbH
2.7.1 Siemens Healthcare GmbH Details
2.7.2 Siemens Healthcare GmbH Major Business
2.7.3 Siemens Healthcare GmbH Artificial Intelligence in Medical Diagnostics Product and Solutions
2.7.4 Siemens Healthcare GmbH Artificial Intelligence in Medical Diagnostics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.7.5 Siemens Healthcare GmbH Recent Developments and Future Plans
2.8 Neural Analytics
2.8.1 Neural Analytics Details
2.8.2 Neural Analytics Major Business
2.8.3 Neural Analytics Artificial Intelligence in Medical Diagnostics Product and Solutions
2.8.4 Neural Analytics Artificial Intelligence in Medical Diagnostics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.8.5 Neural Analytics Recent Developments and Future Plans
2.9 Riverain Technologies,
2.9.1 Riverain Technologies, Details
2.9.2 Riverain Technologies, Major Business
2.9.3 Riverain Technologies, Artificial Intelligence in Medical Diagnostics Product and Solutions
2.9.4 Riverain Technologies, Artificial Intelligence in Medical Diagnostics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.9.5 Riverain Technologies, Recent Developments and Future Plans
2.10 Zebra Medical Vision
2.10.1 Zebra Medical Vision Details
2.10.2 Zebra Medical Vision Major Business
2.10.3 Zebra Medical Vision Artificial Intelligence in Medical Diagnostics Product and Solutions
2.10.4 Zebra Medical Vision Artificial Intelligence in Medical Diagnostics Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.10.5 Zebra Medical Vision Recent Developments and Future Plans
3 麻豆原创 Competition, by Players
3.1 Global Artificial Intelligence in Medical Diagnostics Revenue and Share by Players (2019-2024)
3.2 麻豆原创 Share Analysis (2023)
3.2.1 麻豆原创 Share of Artificial Intelligence in Medical Diagnostics by Company Revenue
3.2.2 Top 3 Artificial Intelligence in Medical Diagnostics Players 麻豆原创 Share in 2023
3.2.3 Top 6 Artificial Intelligence in Medical Diagnostics Players 麻豆原创 Share in 2023
3.3 Artificial Intelligence in Medical Diagnostics 麻豆原创: Overall Company Footprint Analysis
3.3.1 Artificial Intelligence in Medical Diagnostics 麻豆原创: Region Footprint
3.3.2 Artificial Intelligence in Medical Diagnostics 麻豆原创: Company Product Type Footprint
3.3.3 Artificial Intelligence in Medical Diagnostics 麻豆原创: Company Product Application Footprint
3.4 New 麻豆原创 Entrants and Barriers to 麻豆原创 Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 麻豆原创 Size Segment by Type
4.1 Global Artificial Intelligence in Medical Diagnostics Consumption Value and 麻豆原创 Share by Type (2019-2024)
4.2 Global Artificial Intelligence in Medical Diagnostics 麻豆原创 Forecast by Type (2025-2030)
5 麻豆原创 Size Segment by Application
5.1 Global Artificial Intelligence in Medical Diagnostics Consumption Value 麻豆原创 Share by Application (2019-2024)
5.2 Global Artificial Intelligence in Medical Diagnostics 麻豆原创 Forecast by Application (2025-2030)
6 North America
6.1 North America Artificial Intelligence in Medical Diagnostics Consumption Value by Type (2019-2030)
6.2 North America Artificial Intelligence in Medical Diagnostics Consumption Value by Application (2019-2030)
6.3 North America Artificial Intelligence in Medical Diagnostics 麻豆原创 Size by Country
6.3.1 North America Artificial Intelligence in Medical Diagnostics Consumption Value by Country (2019-2030)
6.3.2 United States Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Forecast (2019-2030)
6.3.3 Canada Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Forecast (2019-2030)
6.3.4 Mexico Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Forecast (2019-2030)
7 Europe
7.1 Europe Artificial Intelligence in Medical Diagnostics Consumption Value by Type (2019-2030)
7.2 Europe Artificial Intelligence in Medical Diagnostics Consumption Value by Application (2019-2030)
7.3 Europe Artificial Intelligence in Medical Diagnostics 麻豆原创 Size by Country
7.3.1 Europe Artificial Intelligence in Medical Diagnostics Consumption Value by Country (2019-2030)
7.3.2 Germany Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Forecast (2019-2030)
7.3.3 France Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Forecast (2019-2030)
7.3.4 United Kingdom Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Forecast (2019-2030)
7.3.5 Russia Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Forecast (2019-2030)
7.3.6 Italy Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Forecast (2019-2030)
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence in Medical Diagnostics Consumption Value by Type (2019-2030)
8.2 Asia-Pacific Artificial Intelligence in Medical Diagnostics Consumption Value by Application (2019-2030)
8.3 Asia-Pacific Artificial Intelligence in Medical Diagnostics 麻豆原创 Size by Region
8.3.1 Asia-Pacific Artificial Intelligence in Medical Diagnostics Consumption Value by Region (2019-2030)
8.3.2 China Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Forecast (2019-2030)
8.3.3 Japan Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Forecast (2019-2030)
8.3.4 South Korea Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Forecast (2019-2030)
8.3.5 India Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Forecast (2019-2030)
8.3.6 Southeast Asia Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Forecast (2019-2030)
8.3.7 Australia Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Forecast (2019-2030)
9 South America
9.1 South America Artificial Intelligence in Medical Diagnostics Consumption Value by Type (2019-2030)
9.2 South America Artificial Intelligence in Medical Diagnostics Consumption Value by Application (2019-2030)
9.3 South America Artificial Intelligence in Medical Diagnostics 麻豆原创 Size by Country
9.3.1 South America Artificial Intelligence in Medical Diagnostics Consumption Value by Country (2019-2030)
9.3.2 Brazil Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Forecast (2019-2030)
9.3.3 Argentina Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Forecast (2019-2030)
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence in Medical Diagnostics Consumption Value by Type (2019-2030)
10.2 Middle East & Africa Artificial Intelligence in Medical Diagnostics Consumption Value by Application (2019-2030)
10.3 Middle East & Africa Artificial Intelligence in Medical Diagnostics 麻豆原创 Size by Country
10.3.1 Middle East & Africa Artificial Intelligence in Medical Diagnostics Consumption Value by Country (2019-2030)
10.3.2 Turkey Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Forecast (2019-2030)
10.3.3 Saudi Arabia Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Forecast (2019-2030)
10.3.4 UAE Artificial Intelligence in Medical Diagnostics 麻豆原创 Size and Forecast (2019-2030)
11 麻豆原创 Dynamics
11.1 Artificial Intelligence in Medical Diagnostics 麻豆原创 Drivers
11.2 Artificial Intelligence in Medical Diagnostics 麻豆原创 Restraints
11.3 Artificial Intelligence in Medical Diagnostics Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 Artificial Intelligence in Medical Diagnostics Industry Chain
12.2 Artificial Intelligence in Medical Diagnostics Upstream Analysis
12.3 Artificial Intelligence in Medical Diagnostics Midstream Analysis
12.4 Artificial Intelligence in Medical Diagnostics Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
Aidoc
AliveCor
GE Healthcare
Imagen Technologies
Vuno Inc.
IDx Technologies Inc.
Siemens Healthcare GmbH
Neural Analytics
Riverain Technologies,
Zebra Medical Vision
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*If Applicable.