Global AI-Equipped MRI Machine Market 2023-2030

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     Magnetic resonance imaging (MRI) scans that were produced quickly and with coarse sampling can be reconstructed into high-quality images with diagnostic value comparable to that of conventional MRI scans using artificial intelligence (AI).


    Reconstructing MRI scans with AI promises to increase MRI access to more patients and shorten wait times for appointments because it is four times quicker than traditional scans. 




    Infographic: AI-Equipped MRI Machine Market, AI-Equipped MRI Machine Market Size, AI-Equipped MRI Machine Market Trends, AI-Equipped MRI Machine Market Forecast, AI-Equipped MRI Machine Market Risks, AI-Equipped MRI Machine Market Report, AI-Equipped MRI Machine Market Share


    The Global AI-equipped MRI machine market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.



    A new scanner from Philips that combines spectral CT with real-time, image-guided therapy hardware was also unveiled, along with a new portfolio of smart MRI devices with artificial intelligence programmes to aid in speeding up image acquisition and diagnosis.


    Additionally, the business revealed software for radiology control room consoles that aims to direct technicians through a scan and automate some of their workflow processes, such as exam planning and image post-processing.


     A completely sealed, helium-free scanner is a feature of the FDA-510(k) cleared MR 5300 1.5T system, which makes it appropriate for use in both well-equipped hospital radiology departments and outpatient clinics. To keep the MRI’s magnets cold in the past, imagers had to be constantly refilled with liquid helium.


    The more robust MR 7700 3.0T device, on the other hand, is built to handle sophisticated neuroscience and research applications. It can conduct multinuclei clinical exams, such as spectroscopy tests to look at the internal metabolism of tumour cells.


     On display at the Radiological Society of North America’s annual conference were both systems. (RSNA). This year’s RSNA will be devoted to the introduction of scalable, high-performance MR systems to the imaging industry. These systems will include intelligent software that will automate duties and lessen the workload of radiology departments and staff.


    Philips’ new SmartSpeed programme applies deep-learning algorithms directly to the MR signal output of the scanner to reduce the amount of time required to finish a scan and boost patient throughput.





    1. How many AI-equipped MRI machines are manufactured per annum globally? Who are the sub-component suppliers in different regions?
    2. Cost breakup of a Global AI-equipped MRI machine and key vendor selection criteria
    3. Where is the AI-equipped MRI machine manufactured? What is the average margin per unit?
    4. Market share of Global AI-equipped MRI machine market manufacturers and their upcoming products
    5. Cost advantage for OEMs who manufacture Global AI-equipped MRI machine in-house
    6. key predictions for next 5 years in Global AI-equipped MRI machine market
    7. Average B-2-B AI-equipped MRI machine market price in all segments
    8. Latest trends in AI-equipped MRI machine market, by every market segment
    9. The market size (both volume and value) of the AI-equipped MRI machine market in 2023-2030 and every year in between?
    10. Production breakup of AI-equipped MRI machine market, by suppliers and their OEM relationship


    Sl no Topic
    1 Market Segmentation
    2 Scope of the report
    3 Abbreviations
    4 Research Methodology
    5 Executive Summary
    6 Introduction
    7 Insights from Industry stakeholders
    8 Cost breakdown of Product by sub-components and average profit margin
    9 Disruptive innovation in the Industry
    10 Technology trends in the Industry
    11 Consumer trends in the industry
    12 Recent Production Milestones
    13 Component Manufacturing in US, EU and China
    14 COVID-19 impact on overall market
    15 COVID-19 impact on Production of components
    16 COVID-19 impact on Point of sale
    17 Market Segmentation, Dynamics and Forecast by Geography, 2023-2030
    18 Market Segmentation, Dynamics and Forecast by Product Type, 2023-2030
    19 Market Segmentation, Dynamics and Forecast by Application, 2023-2030
    20 Market Segmentation, Dynamics and Forecast by End use, 2023-2030
    21 Product installation rate by OEM, 2023
    22 Incline/Decline in Average B-2-B selling price in past 5 years
    23 Competition from substitute products
    24 Gross margin and average profitability of suppliers
    25 New product development in past 12 months
    26 M&A in past 12 months
    27 Growth strategy of leading players
    28 Market share of vendors, 2023
    29 Company Profiles
    30 Unmet needs and opportunity for new suppliers
    31 Conclusion
    32 Appendix
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