Artificial intelligence in the medical imaging market is expected to experience market growth during the forecast period of 2021 to 2028. Data Bridge Market Research analyzes the market to reach an estimated value of USD 1,579.33 million and grow at a CAGR of 4.11% in this preceding- mentioned forecast period. The increase in the number of diagnostic procedures is driving artificial intelligence in the medical imaging market.
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 the performance and functioning of organs in the human body. With the integration of artificial intelligence (AI) in healthcare and medical imaging, there is a change in the way diagnoses and the whole procedure are performed. AI assists surgeons in performing the process of capturing images and how to diagnose those images for conclusion and personalized treatment based on each individual and patient. Artificial intelligence mainly consists of two types, robots and machine learning. Machine learning involves the recognition and application of algorithms in computer systems for rendering images. Whereas,
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Artificial Intelligence in Medical Imaging Market Scope and Market Size
Artificial Intelligence in Medical Imaging Market is segmented on the basis of technology, offering, type of deployment, application, clinical applications and end user. The growth among these segments will help you analyze low growth segments within the industries and provide users with valuable market insight and market insights to help them make strategic decisions for identification of major market applications.
- On the basis of technology, artificial intelligence in medical imaging market is segmented into deep learning, computer vision NLP and others.
- On the basis of supply, the artificial intelligence in medical imaging market is segmented into hardware, software and services.
- Based on deployment type, artificial intelligence in medical imaging market is segmented into on-premises and cloud-based.
- On the basis of application, the Artificial Intelligence in Medical Imaging market is segmented into X-ray, CT, MRI, Ultrasound and molecular imaging .
- Based on clinical application, artificial intelligence in medical imaging market is segmented into breast, lung, neurology, cardiovascular, liver, prostate, colon, musculoskeletal and others.
- The artificial intelligence in medical imaging market is also segmented on the basis of end-user role in hospitals, clinics, research labs, and others.
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Country Level Analysis of Artificial Intelligence in Medical Imaging Market
Artificial Intelligence in Medical Imaging Market is analyzed and market size insights and trends are provided by country, technology, offering, deployment type, application, clinical applications and end-user as listed above .
The countries covered in the Artificial Intelligence in Medical Imaging market report are US, Canada & Mexico North America, Germany, France, UK, Netherlands- Bas, Switzerland, Belgium, Russia, Italy, Spain, Turkey, the rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in Asia-Pacific (APAC), Saudi Arabia, United Arab Emirates, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) in as part of the Middle East and Africa (MEA), Brazil, Argentina and rest of South America as part of South America.
North America and Europe dominate the artificial intelligence in medical imaging market owing to the increase in technologically advanced healthcare infrastructure and high disposable income in this region. Asia-Pacific is the expected region in terms of growth of artificial intelligence in medical imaging market owing to rapidly changing healthcare infrastructure in countries such as China, Indonesia and the United States. ‘India.
The country section of the Artificial Intelligence in Medical Imaging market report also provides individual market impacting factors and regulatory changes in the country market that are impacting current and future trends of the market. Data points such as consumption volumes, production sites and volumes, import and export analysis, price trend analysis, raw material cost, value chain analysis Downstream and Upstream are some of the major indicators used to forecast the market scenario for each country. In addition, the presence and availability of global brands and the challenges they face due to significant or rare competition from local and national brands, the impact of domestic tariffs and trade routes are considered while providing a forecast analysis of national data.
Competitive Landscape and Market Share Analysis of Artificial Intelligence in Medical Imaging
Artificial Intelligence in Medical Imaging market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, research and development investment, new market initiatives, global presence, locations and production facilities, production capacities, company strengths and weaknesses, product launch, product breadth and breadth, application dominance. The data points provided above are only related to the companies’ emphasis on artificial intelligence in the medical imaging market.
The key players covered in the Artificial Intelligence in Medical Imaging market report are BenevolentAI, OrCam, Babylon, Freenome Inc., Clarify Health Solutions, BioXcel Therapeutics, Ada Health GmbH, GNS Healthcare, Zebra Medical Vision Inc. , Qventus Inc, IDx Technologies Inc., K Health, Prognos, Medopad Ltd., Viz.ai Inc., Voxel Technology, Renalytix AI plc, Beijing Pushing Technology Co. Ltd., PAIGE, mPulse Mobile, Suki AI Inc., BERG LLC, Zealth Inc., OWKIN INC., and Your.MD Ltd. UK among other national and global players. Market share data is available separately for Global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America . DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
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