AI in Medical Imaging Market report aims to provide a 360-degree view of the market in terms of cutting-edge technology, key developments, drivers, restraints and future trends with impact analysis of these trends on the market for short-term, mid-term and long-term during the forecast period. Further, the report also covers key players profiling with detailed SWOT analysis, financial facts and key developments of products/service from the past three years.
AI in Medical Imaging Market to 2027 – Global Analysis and Forecasts By Product (Systems and Services & Software), Application (Cardiology, Oncology, Neurology, Gastroenterology,Musculoskeletal, and Others), End User (Hospital, Ambulatory Surgical Centers, and Diagnostic Centers), and Geography
MARKET INTRODUCTION
Artificial intelligence (AI) is field of the computer science that allows machine to do interactive functions similar to humans. The AI allow systems to do activities such as speech recognition, learning, data monitoring, data recording and more. The use of AI technology in medical imaging allows to capture the part of the body and it visualizes the affected areas and assists in the treatments.
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Key Benefits-
- To provide detailed information regarding the major factors (drivers, restraints, opportunities, challenges, and trends) influencing the growth of the global AI in Medical Imaging Market
- To forecast the size of the market segments with respect to four major regional segments, namely, North America, Europe, Asia Pacific, and the Rest of the World (Latin America and the Middle East & Africa)
Some of the Major Players In AI in Medical Imaging Market:
- General Electric
- IBM Watson Health
- Koninklijke Philips N.V.
- SAMSUNG HEALTHCARE
- Medtronic
- EchoNous, Inc.
- Enlitic, Inc.
- Siemens Healthcare GmbH
- Intel Corporation
- NVIDIA Corporation
MARKET SCOPE
The “Global AI in Medical Imaging Market Analysis to 2027” is a specialized and in-depth study of the medical device industry with a special focus on the global market trend analysis. The report aims to provide an overview of AI in medical imaging market with detailed market segmentation by product, application, end user and geography. The global AI in medical imaging market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading AI in medical imaging market players and offers key trends and opportunities in the market.
MARKET SEGMENTATION
The global AI in medical imaging market is segmented on the basis of product, application and end user. Based product, the market is segmented as systems, and services & software. On the basis of the application the market is segmented as cardiology, oncology, neurology, gastroenterology, musculoskeletal, and others. The market on the basis of the end user is classified as hospitals, ambulatory surgical centers and diagnostic centers.
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REGIONAL FRAMEWORK
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global AI in medical imaging market based on various segments. It also provides market size and forecast estimates from year 2017 to 2027 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The AI in medical imaging market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 18 countries globally along with current trend and opportunities prevailing in the region.
The report analyzes factors affecting AI in medical imaging market from both demand and supply side and further evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South & Central America after evaluating political, economic, social and technological factors effecting the artificial kidney market in these regions.
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