The report on the global AI in medical imaging market provides qualitative and quantitative analysis for the period from 2019 to 2027. The report predicts the global AI in medical imaging market to grow with a healthy CAGR over the forecast period from 2021-2027. The study on AI in medical imaging market covers the analysis of the leading geographies such as North America, Europe, Asia-Pacific, and RoW for the period of 2019 to 2027.
The report on AI in medical imaging market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global AI in medical imaging market over the period of 2019 to 2027. Moreover, the report is a collective presentation of primary and secondary research findings.
Porter's five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global AI in medical imaging market over the period of 2019 to 2027. Further, IGR- Growth Matrix gave in the report brings an insight into the investment areas that existing or new market players can consider.
1) Drivers
The primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents who are approached include
1. Key Opinion Leaders associated with the Publisher
2. Internal and External subject matter experts
3. Professionals and participants from the industry
The primary research respondents typically include:
1. Executives working with leading companies in the market under review
2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/ country managers
5. Vice President level executives.
Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. At the publisher, each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.
The secondary sources of the data typically include:
1. Company reports and publications
2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies
The global AI in medical imaging market is segmented on the basis of component, application, and end user.
The companies covered in the report include:
2. Complete coverage of all the segments in the AI in medical imaging market to analyze the trends, developments in the global market and forecast of market size up to 2027.
3. Comprehensive analysis of the companies operating in the global AI in medical imaging market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. IGR- Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.
The report on AI in medical imaging market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global AI in medical imaging market over the period of 2019 to 2027. Moreover, the report is a collective presentation of primary and secondary research findings.
Porter's five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global AI in medical imaging market over the period of 2019 to 2027. Further, IGR- Growth Matrix gave in the report brings an insight into the investment areas that existing or new market players can consider.
Report Findings
1) Drivers
- Growing number of cross-industry partnerships and collaborations
- Growing awareness of the benefits offered by ai techniques
- Reluctance among medical practitioners to adopt ai-based technologies
- Untapped emerging markets
Research Methodology
A) Primary Research
The primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents who are approached include
1. Key Opinion Leaders associated with the Publisher
2. Internal and External subject matter experts
3. Professionals and participants from the industry
The primary research respondents typically include:
1. Executives working with leading companies in the market under review
2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/ country managers
5. Vice President level executives.
B) Secondary Research
Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. At the publisher, each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.
The secondary sources of the data typically include:
1. Company reports and publications
2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies
Segments Covered
The global AI in medical imaging market is segmented on the basis of component, application, and end user.
The Global AI in Medical Imaging Market by Component
- Software
- Service
The Global AI in Medical Imaging Market by Application
- Radiology
- In Vivo
- OB/GYN
- MRI
- CT
- Ultrasound
- IVD
The Global AI in Medical Imaging Market by End User
- Hospitals
- Diagnostic Laboratory
- Diagnostic Imaging Center
Company Profiles
The companies covered in the report include:
- NVIDIA Corporation
- IBM
- Intel
- Siemens Healthineers
- GE Healthcare
- Digital Diagnostics
- InformAI
- Day Zero Diagnostics
- Butterfly Network
- Zebra Medical Vision
What does this Report Deliver?
1. Comprehensive analysis of the global as well as regional markets of the AI in medical imaging market.2. Complete coverage of all the segments in the AI in medical imaging market to analyze the trends, developments in the global market and forecast of market size up to 2027.
3. Comprehensive analysis of the companies operating in the global AI in medical imaging market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. IGR- Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.
This product will be delivered within 1-3 business days.
Table of Contents
1. Preface
2. Executive Summary
3. Global AI in Medical Imaging Market Overview
5. Global AI in Medical Imaging Market by Component
6. Global AI in Medical Imaging Market by Application
7. Global AI in Medical Imaging Market by End User
8. Global AI in Medical Imaging Market by Region 2021-2027
9. Company Profiles and Competitive Landscape
Executive Summary
The report on AI in medical imaging market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global AI in medical imaging market over the period of 2019 to 2027. Moreover, the report is a collective presentation of primary and secondary research findings.Companies Mentioned
- NVIDIA Corporation
- IBM
- Intel
- Siemens Healthineers
- GE Healthcare
- Digital Diagnostics
- InformAI
- Day Zero Diagnostics
- Butterfly Network
- Zebra Medical Vision
