by Artificial Intelligence in Diagnostics Market is predicted to register a compound annual growth rate (CAGR) of around 33.2% over the forecast period 2020 – 2027.
A new study on the global Artificial Intelligence in Diagnostics market has been published by Precedence Research. It presents a wealth of information on key market dynamics, including the drivers, market trends, and challenges, as well as the structure of the global Artificial Intelligence in Diagnostics market. The study offers valuable information about the global Artificial Intelligence in Diagnostics market to illustrate how the market would grow during the forecast period 2020-2027. The report provides the value and volume of the global Artificial Intelligence in Diagnostics market for the period 2020–2027, considering 2019 as the base year and 2027 as the forecast year. The report includes an elaborate executive summary, along with a snapshot of the growth behavior of various segments and sub-segments included in the scope of the study.
Key indicators of market growth, which include value chain as well as supply chain analyses, and Compound Annual Growth Rate (CAGR), are elucidated in the study in a comprehensive manner. This data can help readers interpret quantitative growth aspects of the global Artificial Intelligence in Diagnostics market during the forecast period.
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An extensive analysis on business strategies of leading market players is also featured in study on the global Artificial Intelligence in Diagnostics market. This can help readers understand principal factors to foresee growth in the global Artificial Intelligence in Diagnostics market. In this study, readers can also find specific data on the qualitative and quantitative growth avenues for the global market, which is expected to guide market players in making apt decisions in the future.
The report also delves into the competition landscape of the global Artificial Intelligence in Diagnostics market. Key players operating in the global market have been identified, and each one of these has been profiled for their distinguishing business attributes. Company overview, financial standings, recent developments, and SWOT are some of the attributes of players profiled in the global market report.
Key Players
- Siemens Healthcare GmbH
- GE Healthcare
- Aidoc
- Imagen Technologies
- AliveCor
- Zebra Medical Vision
- Vuno Inc.
- IDx Technologies Inc.
- Neural Analytics
- Riverain Technologies
Key Questions Answered in Artificial Intelligence in Diagnostics Market Study
– What are the key factors influencing the Artificial Intelligence in Diagnostics market in each region?
– What will be the CAGR of the global Artificial Intelligence in Diagnostics market between 2016 and 2027?
– What is the future scope and changing trends in technologies in the global Artificial Intelligence in Diagnostics market?
– Which factors will impede the growth of the global Artificial Intelligence in Diagnostics market during the forecast period?
– Which are the leading companies in the global Artificial Intelligence in Diagnostics market?
– Which region is set to expand at the fastest CAGR during the forecast period?
– What is the volume (Units) of different Artificial Intelligence in Diagnostics across all regions during the forecast period?
– Which segment will have the highest revenue globally in 2027 and which segment will expand at the fastest CAGR during the forecast period?
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Research Methodology
A unique research methodology has been utilized by precedence research to conduct a comprehensive research on the growth of the global Artificial Intelligence in Diagnostics market and arrive at conclusions on the future growth prospects of the market. This research methodology is a combination of primary and secondary research, which helps analysts warrant the accuracy and reliability of the drawn conclusions.
Secondary sources referred to by analysts during the production of the global Artificial Intelligence in Diagnostics market report include statistics from company annual reports, SEC filings, company websites, World Bank database, investor presentations, regulatory databases, government publications, and industry white papers. Analysts have also interviewed senior managers, product portfolio managers, CEOs, VPs, and market intelligence managers, who contributed to the production of our study on the market as a primary source.
These primary and secondary sources provided exclusive information during interviews, which serves as a validation from Artificial Intelligence in Diagnostics industry leaders. Access to an extensive internal repository and external proprietary databases allows this report to address specific details and questions about the global market with accuracy. The study also uses the top-down approach to assess the numbers for each segment and the bottom-up approach to counter-validate them. This has helped in making precedence research estimates on the future prospects of the global market more reliable and accurate.
Segmentation
By Component
- Hardware
- Software
- Services
By Diagnosis Type
- Radiology
- Pathology
- Cardiology
- Oncology
- Neurology
- Chest and Lung
- Others
By Regional Outlook
- North America
- U.S.
- Canada
- Europe
- U.K.
- Germany
- France
- Asia Pacific
- China
- India
- Japan
- South Korea
- Middle East & Africa
- Latin America
Table of Content
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
Chapter 5. Market Dynamics Analysis and Trends
5.1. Market Dynamics
5.1.1. Market Drivers
5.1.2. Market Restraints
5.1.3. Market Opportunities
5.2. Porter’s Five Forces Analysis
5.2.1. Bargaining power of suppliers
5.2.2. Bargaining power of buyers
5.2.3. Threat of substitute
5.2.4. Threat of new entrants
5.2.5. Degree of competition
Chapter 6. Competitive Landscape
6.1.1. Company Market Share/Positioning Analysis
6.1.2. Key Strategies Adopted by Players
6.1.3. Vendor Landscape
6.1.3.1. List of Suppliers
6.1.3.2. List of Buyers
Chapter 7. Global Artificial Intelligence in Diagnostics Market, By Component
7.1. Artificial Intelligence in Diagnostics Market, by Component Type, 2020-2027
7.1.1. Hardware
7.1.1.1. Market Revenue and Forecast (2016-2027)
7.1.2. Software
7.1.2.1. Market Revenue and Forecast (2016-2027)
7.1.3. Services
7.1.3.1. Market Revenue and Forecast (2016-2027)
Chapter 8. Global Artificial Intelligence in Diagnostics Market, By Diagnosis Type
8.1. Artificial Intelligence in Diagnostics Market, by Diagnosis Type, 2020-2027
8.1.1. Radiology
8.1.1.1. Market Revenue and Forecast (2016-2027)
8.1.2. Pathology
8.1.2.1. Market Revenue and Forecast (2016-2027)
8.1.3. Cardiology
8.1.3.1. Market Revenue and Forecast (2016-2027)
8.1.4. Oncology
8.1.4.1. Market Revenue and Forecast (2016-2027)
8.1.5. Neurology
8.1.5.1. Market Revenue and Forecast (2016-2027)
8.1.6. Chest and Lung
8.1.6.1. Market Revenue and Forecast (2016-2027)
8.1.7. Others
8.1.7.1. Market Revenue and Forecast (2016-2027)
Chapter 9. Global Artificial Intelligence in Diagnostics Market, Regional Estimates and Trend Forecast
9.1. North America
9.1.1. Market Revenue and Forecast, by Component (2016-2027)
9.1.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.1.3. U.S.
9.1.3.1. Market Revenue and Forecast, by Component (2016-2027)
9.1.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.1.4. Rest of North America
9.1.4.1. Market Revenue and Forecast, by Component (2016-2027)
9.1.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.2. Europe
9.2.1. Market Revenue and Forecast, by Component (2016-2027)
9.2.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.2.3. UK
9.2.3.1. Market Revenue and Forecast, by Component (2016-2027)
9.2.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.2.4. Germany
9.2.4.1. Market Revenue and Forecast, by Component (2016-2027)
9.2.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.2.5. France
9.2.5.1. Market Revenue and Forecast, by Component (2016-2027)
9.2.5.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.2.6. Rest of Europe
9.2.6.1. Market Revenue and Forecast, by Component (2016-2027)
9.2.6.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.3. APAC
9.3.1. Market Revenue and Forecast, by Component (2016-2027)
9.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.3.3. India
9.3.3.1. Market Revenue and Forecast, by Component (2016-2027)
9.3.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.3.4. China
9.3.4.1. Market Revenue and Forecast, by Component (2016-2027)
9.3.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.3.5. Japan
9.3.5.1. Market Revenue and Forecast, by Component (2016-2027)
9.3.5.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.3.6. Rest of APAC
9.3.6.1. Market Revenue and Forecast, by Component (2016-2027)
9.3.6.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.4. MEA
9.4.1. Market Revenue and Forecast, by Component (2016-2027)
9.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.4.3. GCC
9.4.3.1. Market Revenue and Forecast, by Component (2016-2027)
9.4.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.4.4. North Africa
9.4.4.1. Market Revenue and Forecast, by Component (2016-2027)
9.4.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.4.5. South Africa
9.4.5.1. Market Revenue and Forecast, by Component (2016-2027)
9.4.5.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.4.6. Rest of MEA
9.4.6.1. Market Revenue and Forecast, by Component (2016-2027)
9.4.6.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.5. Latin America
9.5.1. Market Revenue and Forecast, by Component (2016-2027)
9.5.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.5.3. Brazil
9.5.3.1. Market Revenue and Forecast, by Component (2016-2027)
9.5.3.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
9.5.4. Rest of LATAM
9.5.4.1. Market Revenue and Forecast, by Component (2016-2027)
9.5.4.2. Market Revenue and Forecast, by Diagnosis Type (2016-2027)
Chapter 10. Company Profiles
10.1. Siemens Healthcare GmbH
10.1.1. Company Overview
10.1.2. Product Offerings
10.1.3. Financial Performance
10.1.4. Recent Initiatives
10.2. GE Healthcare
10.2.1. Company Overview
10.2.2. Product Offerings
10.2.3. Financial Performance
10.2.4. Recent Initiatives
10.3. Aidoc
10.3.1. Company Overview
10.3.2. Product Offerings
10.3.3. Financial Performance
10.3.4. Recent Initiatives
10.4. Imagen Technologies
10.4.1. Company Overview
10.4.2. Product Offerings
10.4.3. Financial Performance
10.4.4. Recent Initiatives
10.5. AliveCor
10.5.1. Company Overview
10.5.2. Product Offerings
10.5.3. Financial Performance
10.5.4. Recent Initiatives
10.6. Zebra Medical Vision
10.6.1. Company Overview
10.6.2. Product Offerings
10.6.3. Financial Performance
10.6.4. Recent Initiatives
10.7. Vuno Inc.
10.7.1. Company Overview
10.7.2. Product Offerings
10.7.3. Financial Performance
10.7.4. Recent Initiatives
10.8. IDx Technologies Inc.
10.8.1. Company Overview
10.8.2. Product Offerings
10.8.3. Financial Performance
10.8.4. Recent Initiatives
10.9. Neural Analytics
10.9.1. Company Overview
10.9.2. Product Offerings
10.9.3. Financial Performance
10.9.4. Recent Initiatives
10.10. Riverain Technologies
10.10.1. Company Overview
10.10.2. Product Offerings
10.10.3. Financial Performance
10.10.4. Recent Initiatives
Chapter 11. Research Methodology
11.1. Primary Research
11.2. Secondary Research
11.3. Assumptions
Chapter 12. Appendix
12.1. About Us
12.2. Glossary of Terms
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