AI in Medical imaging can be described as the diagnostic procedure that involves the creation of visual aids and image representations of the human body, and involves the monitoring of performance and functioning of the organs of the human body. There is a change in the way the diagnostics and the entire procedure is carried out with the integration of artificial intelligence (AI) in healthcare and medical imaging. The AI assists the surgeons in carrying out the image capturing process and the diagnosis of these images for the conclusion and personalized treatment with respect to every individual and patient. Artificial intelligence mainly consists of robots and machine learning. Machine learning involves the recognition and application of algorithm in computer systems for rendering of images. Whereas, robots are engaged in the assistance of patients, doctors and operators in the visualization and diagnostic procedures.
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The rising demand for the influx of large and complex datasets, government initiatives to promote the use of AI-based technologies, increasing attention to lessen radiologists’ workload, Artificial Intelligence (AI) tools in the medical industry, increased funding for AI-based start-ups by private players, and an increase in cross-industry collaborations and partnerships are some of the factors driving this market.
Diseases are becoming more common, which has increased the number of diagnostic procedures performed, which has increased the market demand. Additionally, AI-driven medical imaging offers patients earlier detection, better diagnosis, and individualized care. AI-based medical imaging systems have seen numerous technological improvements and are becoming more and more popular in high-income nations. The creation of integrated rtiI software, which can easily be integrated into imaging devices (such as MRI or CT scanners), is one of the advancements that make it possible to automate medical image processing. In addition, other developments include the incorporation of smartphone technology and Artificial Intelligence in medical imaging, allowing front-line healthcare professionals to use a smartphone to do non-invasive condition screenings.
Key companies profiled
Siemens Healthineers; General Electric; Koninklije Philips; IBM; Agfa-Gevaert Group/Agfa Health Care; Arterys; AZmed; Caption Health; Gleamer; Butterfly Network
Key Segments Covered :
Component Type
Imaging Type
- 2D Imaging
- 3D Imaging
- 4D Imaging
Technology
- X-Ray
- Computed Tomography
- Magnetic Resonance Imaging
- Ultrasound Imaging
- Molecular Imaging
Application
- Orthopedic
- Dental
- Neurology
- Cardiology
- Oncology
- Gynecology
- Others
Industry Vertical
- Hospitals
- Clinics
- Research Laboratories
- Diagnostic Centers
- Healthcare
- Pharmaceuticals
- Medical Devices
- Others
By Region
- North America (U.S., Canada)
- Europe (France, Germany, Italy, Spain, UK, Russia, Rest of Europe)
- Asia-Pacific (China, Japan, India, South Korea, Australia, Thailand, Malaysia, Indonesia, Rest of Asia-Pacific)
- LAMEA (Latin America, Middle East, Africa)
Highlights of the Report:
- The report identifies the causes of low productivity and market failures of global Ai In Medical Imaging market. The report tries to identify the external factors, industry dynamics, and firm-level operational factors for global Ai In Medical Imaging market.
- The report studies the large-scale players, key markets, new entrants, new technologies, and other attributes contributing majorly to the global Ai In Medical Imaging market.
Key benefits of the report:
- This study presents the analytical depiction of the global AI in medical imaging market along with the current trends and future estimations to determine the imminent investment pockets.
- The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of global AI in medical imaging market share.
- The current market is quantitatively analyzed from 2022 to 2030 to highlight the global AI in medical imaging market growth scenario.
- Porter’s five forces analysis illustrates the potency of buyers & suppliers in the AI in medical imaging market.
- The report provides detailed global AI in medical imaging market analysis based on competitive intensity and how the competition will take shape in coming years.
Our report offers:
– Market share assessments for the regional and country level segments.
– Market share analysis of the top industry players.
– Strategic recommendations for the new entrants.
– Market forecasts for a minimum of 9 years of all the mentioned segments, sub segments and the regional markets.
– Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations).
– Strategic recommendations in key business segments based on the market estimations.
– Competitive landscaping mapping the key common trends.
– Company profiling with detailed strategies, financials, and recent developments.
– Supply chain trends mapping the latest technological advancements.
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