DUBLIN–(BUSINESS WIRE)–The “Global Medical Image Management Market Size, Share, Growth Analysis, By Product, By End users – Industry Forecast 2022-2028” report has been added to ResearchAndMarkets.com’s offering.
The global Medical Image Management Market size was valued at USD 3.85 billion in 2021 and it is expected to reach a value of USD 6.51 billion by 2028, at a CAGR of 7.8% over the forecast period (2022-2028).
Merge Healthcare Inc
Mach7 Technologies Ltd.
INFINITT Healthcare Co., Ltd.
Canon Medical Systems Corporation
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Segments covered in this report
Global Medical Image Management Market is segmented based on product, end user, and region. Based on product, the medical image management market is segmented into picture archiving and Communication Systems (PACS), Vendor Neutral Archives (VNA), Application-independent Clinical Archives (AICA), and Universal Viewer. On the basis of end user, it is categorized into hospitals, diagnostic imaging centers, and other end users. Based on region, it is categorized into North America, Europe, Asia-Pacific, Latin America, and MEA.
The medical image management market driver is the increasing demand for diagnostic imaging services. As the global population grows and ages, there is a higher demand for medical imaging to diagnose and treat various health conditions. Another driver is the growing adoption of electronic health records (EHRs), which require efficient management and sharing of medical images.
The medical image management market restraint is the high cost of medical imaging equipment and software. This makes it difficult for small and medium-sized healthcare providers to invest in advanced medical image management systems. Another restraint is the lack of interoperability between different systems, which can hinder the sharing of medical images and patient data.
A major trend is the adoption of cloud-based solutions. Cloud-based systems offer increased flexibility and scalability, as well as improved data security and accessibility.
Another trend is the growing use of artificial intelligence (AI) and machine learning (ML) in medical image analysis, which can help to improve diagnostic accuracy and efficiency. Finally, there is a trend towards greater collaboration and integration between different healthcare providers and systems, which can help to improve patient outcomes and reduce costs.
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