Global Artificial Intelligence Based Software for Radiology 麻豆原创 Growth (Status and Outlook) 2024-2030

Publication ID:

LPI10242586

Publication Date:

October 23, 2024

Pages:

125

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

IT Services [2]

Software [3]

Computing & Electronics [4]

Description:

The global Artificial Intelligence Based Software for Radiology market size was valued at US$ million in 2023. With growing demand in downstream market, the Artificial Intelligence Based Software for Radiology is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during review period.
The research report highlights the growth potential of the global Artificial Intelligence Based Software for Radiology market. Artificial Intelligence Based Software for Radiology are expected to show stable growth in the future market. However, product differentiation, reducing costs, and supply chain optimization remain crucial for the widespread adoption of Artificial Intelligence Based Software for Radiology. 麻豆原创 players need to invest in research and development, forge strategic partnerships, and align their offerings with evolving consumer preferences to capitalize on the immense opportunities presented by the Artificial Intelligence Based Software for Radiology market.
AI can be used as an optimising tool to assist the technologist and radiologist in choosing a personalised patient's protocol, tracking the patient's dose parameters, providing an estimate of the radiation risks. AI can also aid the reporting workflow and help the linking between words, images, and quantitative data.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate 鈧�9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.102%, including software, hardware and services.
Key Features:
The report on Artificial Intelligence Based Software for Radiology market reflects various aspects and provide valuable insights into the industry.
麻豆原创 Size and Growth: The research report provide an overview of the current size and growth of the Artificial Intelligence Based Software for Radiology market. It may include historical data, market segmentation by Type (e.g., X-ray, Ultrasound), and regional breakdowns.
麻豆原创 Drivers and Challenges: The report can identify and analyse the factors driving the growth of the Artificial Intelligence Based Software for Radiology market, such as government regulations, environmental concerns, technological advancements, and changing consumer preferences. It can also highlight the challenges faced by the industry, including infrastructure limitations, range anxiety, and high upfront costs.
Competitive Landscape: The research report provides analysis of the competitive landscape within the Artificial Intelligence Based Software for Radiology market. It includes profiles of key players, their market share, strategies, and product offerings. The report can also highlight emerging players and their potential impact on the market.
Technological Developments: The research report can delve into the latest technological developments in the Artificial Intelligence Based Software for Radiology industry. This include advancements in Artificial Intelligence Based Software for Radiology technology, Artificial Intelligence Based Software for Radiology new entrants, Artificial Intelligence Based Software for Radiology new investment, and other innovations that are shaping the future of Artificial Intelligence Based Software for Radiology.
Downstream Procumbent Preference: The report can shed light on customer procumbent behaviour and adoption trends in the Artificial Intelligence Based Software for Radiology market. It includes factors influencing customer ' purchasing decisions, preferences for Artificial Intelligence Based Software for Radiology product.
Government Policies and Incentives: The research report analyse the impact of government policies and incentives on the Artificial Intelligence Based Software for Radiology market. This may include an assessment of regulatory frameworks, subsidies, tax incentives, and other measures aimed at promoting Artificial Intelligence Based Software for Radiology market. The report also evaluates the effectiveness of these policies in driving market growth.
Environmental Impact and Sustainability: The research report assess the environmental impact and sustainability aspects of the Artificial Intelligence Based Software for Radiology market.
麻豆原创 Forecasts and Future Outlook: Based on the analysis conducted, the research report provide market forecasts and outlook for the Artificial Intelligence Based Software for Radiology industry. This includes projections of market size, growth rates, regional trends, and predictions on technological advancements and policy developments.
Recommendations and Opportunities: The report conclude with recommendations for industry stakeholders, policymakers, and investors. It highlights potential opportunities for market players to capitalize on emerging trends, overcome challenges, and contribute to the growth and development of the Artificial Intelligence Based Software for Radiology market.
麻豆原创 Segmentation:
Artificial Intelligence Based Software for Radiology 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.
Segmentation by type
X-ray
Ultrasound
Others
Segmentation by application
Cardiac
Breast
Chest
Neuro
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
AI4MedImaging
annalise.ai
Visage Imaging
Cerebriu
Lunit
Smart Soft Healthcare
Radiobotics
AZmed
Vara
Deep01
Combinostics
iCAD
contextflow
Riverain Technologies
Siemens Healthineers

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Scope of the Report
1.1 麻豆原创 Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 麻豆原创 Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 麻豆原创 Estimation Caveats
2 Executive Summary
2.1 World 麻豆原创 Overview
2.1.1 Global Artificial Intelligence Based Software for Radiology 麻豆原创 Size 2019-2030
2.1.2 Artificial Intelligence Based Software for Radiology 麻豆原创 Size CAGR by Region 2019 VS 2023 VS 2030
2.2 Artificial Intelligence Based Software for Radiology Segment by Type
2.2.1 X-ray
2.2.2 Ultrasound
2.2.3 Others
2.3 Artificial Intelligence Based Software for Radiology 麻豆原创 Size by Type
2.3.1 Artificial Intelligence Based Software for Radiology 麻豆原创 Size CAGR by Type (2019 VS 2023 VS 2030)
2.3.2 Global Artificial Intelligence Based Software for Radiology 麻豆原创 Size 麻豆原创 Share by Type (2019-2024)
2.4 Artificial Intelligence Based Software for Radiology Segment by Application
2.4.1 Cardiac
2.4.2 Breast
2.4.3 Chest
2.4.4 Neuro
2.4.5 Others
2.5 Artificial Intelligence Based Software for Radiology 麻豆原创 Size by Application
2.5.1 Artificial Intelligence Based Software for Radiology 麻豆原创 Size CAGR by Application (2019 VS 2023 VS 2030)
2.5.2 Global Artificial Intelligence Based Software for Radiology 麻豆原创 Size 麻豆原创 Share by Application (2019-2024)
3 Artificial Intelligence Based Software for Radiology 麻豆原创 Size by Player
3.1 Artificial Intelligence Based Software for Radiology 麻豆原创 Size 麻豆原创 Share by Players
3.1.1 Global Artificial Intelligence Based Software for Radiology Revenue by Players (2019-2024)
3.1.2 Global Artificial Intelligence Based Software for Radiology Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Artificial Intelligence Based Software for Radiology Key Players Head office and Products Offered
3.3 麻豆原创 Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2022-2024)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Artificial Intelligence Based Software for Radiology by Regions
4.1 Artificial Intelligence Based Software for Radiology 麻豆原创 Size by Regions (2019-2024)
4.2 Americas Artificial Intelligence Based Software for Radiology 麻豆原创 Size Growth (2019-2024)
4.3 APAC Artificial Intelligence Based Software for Radiology 麻豆原创 Size Growth (2019-2024)
4.4 Europe Artificial Intelligence Based Software for Radiology 麻豆原创 Size Growth (2019-2024)
4.5 Middle East & Africa Artificial Intelligence Based Software for Radiology 麻豆原创 Size Growth (2019-2024)
5 Americas
5.1 Americas Artificial Intelligence Based Software for Radiology 麻豆原创 Size by Country (2019-2024)
5.2 Americas Artificial Intelligence Based Software for Radiology 麻豆原创 Size by Type (2019-2024)
5.3 Americas Artificial Intelligence Based Software for Radiology 麻豆原创 Size by Application (2019-2024)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Artificial Intelligence Based Software for Radiology 麻豆原创 Size by Region (2019-2024)
6.2 APAC Artificial Intelligence Based Software for Radiology 麻豆原创 Size by Type (2019-2024)
6.3 APAC Artificial Intelligence Based Software for Radiology 麻豆原创 Size by Application (2019-2024)
6.4 China
6.5 Japan
6.6 Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Artificial Intelligence Based Software for Radiology by Country (2019-2024)
7.2 Europe Artificial Intelligence Based Software for Radiology 麻豆原创 Size by Type (2019-2024)
7.3 Europe Artificial Intelligence Based Software for Radiology 麻豆原创 Size by Application (2019-2024)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Artificial Intelligence Based Software for Radiology by Region (2019-2024)
8.2 Middle East & Africa Artificial Intelligence Based Software for Radiology 麻豆原创 Size by Type (2019-2024)
8.3 Middle East & Africa Artificial Intelligence Based Software for Radiology 麻豆原创 Size by Application (2019-2024)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 麻豆原创 Drivers, Challenges and Trends
9.1 麻豆原创 Drivers & Growth Opportunities
9.2 麻豆原创 Challenges & Risks
9.3 Industry Trends
10 Global Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.1 Global Artificial Intelligence Based Software for Radiology Forecast by Regions (2025-2030)
10.1.1 Global Artificial Intelligence Based Software for Radiology Forecast by Regions (2025-2030)
10.1.2 Americas Artificial Intelligence Based Software for Radiology Forecast
10.1.3 APAC Artificial Intelligence Based Software for Radiology Forecast
10.1.4 Europe Artificial Intelligence Based Software for Radiology Forecast
10.1.5 Middle East & Africa Artificial Intelligence Based Software for Radiology Forecast
10.2 Americas Artificial Intelligence Based Software for Radiology Forecast by Country (2025-2030)
10.2.1 United States Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.2.2 Canada Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.2.3 Mexico Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.2.4 Brazil Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.3 APAC Artificial Intelligence Based Software for Radiology Forecast by Region (2025-2030)
10.3.1 China Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.3.2 Japan Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.3.3 Korea Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.3.4 Southeast Asia Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.3.5 India Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.3.6 Australia Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.4 Europe Artificial Intelligence Based Software for Radiology Forecast by Country (2025-2030)
10.4.1 Germany Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.4.2 France Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.4.3 UK Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.4.4 Italy Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.4.5 Russia Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.5 Middle East & Africa Artificial Intelligence Based Software for Radiology Forecast by Region (2025-2030)
10.5.1 Egypt Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.5.2 South Africa Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.5.3 Israel Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.5.4 Turkey Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.5.5 GCC Countries Artificial Intelligence Based Software for Radiology 麻豆原创 Forecast
10.6 Global Artificial Intelligence Based Software for Radiology Forecast by Type (2025-2030)
10.7 Global Artificial Intelligence Based Software for Radiology Forecast by Application (2025-2030)

11 Key Players Analysis
11.1 AI4MedImaging
11.1.1 AI4MedImaging Company Information
11.1.2 AI4MedImaging Artificial Intelligence Based Software for Radiology Product Offered
11.1.3 AI4MedImaging Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.1.4 AI4MedImaging Main Business Overview
11.1.5 AI4MedImaging Latest Developments
11.2 annalise.ai
11.2.1 annalise.ai Company Information
11.2.2 annalise.ai Artificial Intelligence Based Software for Radiology Product Offered
11.2.3 annalise.ai Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.2.4 annalise.ai Main Business Overview
11.2.5 annalise.ai Latest Developments
11.3 Visage Imaging
11.3.1 Visage Imaging Company Information
11.3.2 Visage Imaging Artificial Intelligence Based Software for Radiology Product Offered
11.3.3 Visage Imaging Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.3.4 Visage Imaging Main Business Overview
11.3.5 Visage Imaging Latest Developments
11.4 Cerebriu
11.4.1 Cerebriu Company Information
11.4.2 Cerebriu Artificial Intelligence Based Software for Radiology Product Offered
11.4.3 Cerebriu Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.4.4 Cerebriu Main Business Overview
11.4.5 Cerebriu Latest Developments
11.5 Lunit
11.5.1 Lunit Company Information
11.5.2 Lunit Artificial Intelligence Based Software for Radiology Product Offered
11.5.3 Lunit Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.5.4 Lunit Main Business Overview
11.5.5 Lunit Latest Developments
11.6 Smart Soft Healthcare
11.6.1 Smart Soft Healthcare Company Information
11.6.2 Smart Soft Healthcare Artificial Intelligence Based Software for Radiology Product Offered
11.6.3 Smart Soft Healthcare Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.6.4 Smart Soft Healthcare Main Business Overview
11.6.5 Smart Soft Healthcare Latest Developments
11.7 Radiobotics
11.7.1 Radiobotics Company Information
11.7.2 Radiobotics Artificial Intelligence Based Software for Radiology Product Offered
11.7.3 Radiobotics Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.7.4 Radiobotics Main Business Overview
11.7.5 Radiobotics Latest Developments
11.8 AZmed
11.8.1 AZmed Company Information
11.8.2 AZmed Artificial Intelligence Based Software for Radiology Product Offered
11.8.3 AZmed Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.8.4 AZmed Main Business Overview
11.8.5 AZmed Latest Developments
11.9 Vara
11.9.1 Vara Company Information
11.9.2 Vara Artificial Intelligence Based Software for Radiology Product Offered
11.9.3 Vara Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.9.4 Vara Main Business Overview
11.9.5 Vara Latest Developments
11.10 Deep01
11.10.1 Deep01 Company Information
11.10.2 Deep01 Artificial Intelligence Based Software for Radiology Product Offered
11.10.3 Deep01 Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.10.4 Deep01 Main Business Overview
11.10.5 Deep01 Latest Developments
11.11 Combinostics
11.11.1 Combinostics Company Information
11.11.2 Combinostics Artificial Intelligence Based Software for Radiology Product Offered
11.11.3 Combinostics Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.11.4 Combinostics Main Business Overview
11.11.5 Combinostics Latest Developments
11.12 iCAD
11.12.1 iCAD Company Information
11.12.2 iCAD Artificial Intelligence Based Software for Radiology Product Offered
11.12.3 iCAD Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.12.4 iCAD Main Business Overview
11.12.5 iCAD Latest Developments
11.13 contextflow
11.13.1 contextflow Company Information
11.13.2 contextflow Artificial Intelligence Based Software for Radiology Product Offered
11.13.3 contextflow Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.13.4 contextflow Main Business Overview
11.13.5 contextflow Latest Developments
11.14 Riverain Technologies
11.14.1 Riverain Technologies Company Information
11.14.2 Riverain Technologies Artificial Intelligence Based Software for Radiology Product Offered
11.14.3 Riverain Technologies Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.14.4 Riverain Technologies Main Business Overview
11.14.5 Riverain Technologies Latest Developments
11.15 Siemens Healthineers
11.15.1 Siemens Healthineers Company Information
11.15.2 Siemens Healthineers Artificial Intelligence Based Software for Radiology Product Offered
11.15.3 Siemens Healthineers Artificial Intelligence Based Software for Radiology Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.15.4 Siemens Healthineers Main Business Overview
11.15.5 Siemens Healthineers Latest Developments
12 Research Findings and Conclusion

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