AI in Medical Imaging Market, By Imaging Modality (Computed Tomography (CT), Magnetic Resonance Imaging (MRI), X-Ray Imaging, Ultrasound, Others), By Application (Radiology, Oncology, Cardiology, Neurology, Others), By Deployment (Cloud-based and On-premise), By End User (Hospitals and Diagnostic Centers, Specialty Clinics, Research Institutes, Others), By Geography (North America, Latin America, Asia Pacific, Europe, Middle East, and Africa)

Published In : Sep 2024

Code : CMI7369

Pages :168

Formats :

Excel and PDF

Industry : Healthcare IT

Market Concentration and Competitive Landscape

AI in Medical Imaging Market Concentration By Players

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Increasing adoption of AI-based medical imaging systems in hospitals and diagnostic centers

Due to proven success of AI in medical imaging applications, there has been rise in adoption across hospitals and diagnostic centers. AI demonstrates the ability to augment and enhance radiologists' expertise through capabilities like automatic analysis, prioritization and quantification of images. Early adopters have reported improved efficiency, reduced workload pressures and better consistency in reporting. AI excels in analysis of huge volume of previous scans that can beyond human capabilities.

For cash-strapped public hospitals grappling with radiologist shortages, AI brings timely interventions at lower costs as compared to hiring additional specialists. AI eliminates the need or delays in seeking expert opinion from other facilities or cities. Even large private healthcare networks are recognizing AI as strategic necessity rather than just an option to boost their brand differentiation.

Government policies play a catalytic role in wider deployment. Regulatory bodies in some countries are promoting standardized AI frameworks, validation processes and data sharing to facilitate integrated hospital rollouts. Vendors are heavily investing in developing versatile AI platforms that can scale across departments from radiology to cardiology to pathology. Cloud-based delivery models are also gaining acceptance, making even small clinics capable of accessing sophisticated AI technologies on-demand as services.

For instance, in March 2024, Philips and Synthetic MR announced collaboration in the field of medical diagnostics by launching an AI-powered quantitative brain imaging system. This innovative technology, called Smart Quant Neuro 3D, aims to revolutionize the diagnosis and analysis of neurological disorders, including dementia, traumatic brain injuries (TBI), and multiple sclerosis (MS).

Key Players Insights