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Big Data Opportunities in the US Medical Imaging Market

  • April 2015
  • 100 pages
  • Frost & Sullivan
Report ID: 2878599


Table of Contents

Assessing Market Opportunities for Big Data Management and Big Data Analytics in Medical Imaging

Medical imaging data volumes will soon be approaching the petabyte range forcing providers to explore Big Data tools to help capture, manage, view, and analyze data. Leading medical imaging and non-healthcare IT vendors are investing in solutions as well as business strategies to support the healthcare industry as it progresses on the Big Data journey. This study covers the US market for medical imaging Big Data management and medical imaging Big Data analytics solutions pertaining to large datasets that are in the order of petabytes, including profiles the key market participants, focusing on their Big Data solutions for the medical imaging industry and an opinion on their readiness for this market. The study period is 2014–2019.


-Data presented in this research was gathered through the following processes:
oIn-depth interviews conducted with healthcare supply chain managers and key opinion leaders (KOLs).
oSecondary research conducted using Frost & Sullivan proprietary content as well as publicly available sources of information such as government Web sites, academic and trade journals, and online media.
oMarket size and forecasts were developed using Frost & Sullivan proprietary forecasting tools. A discussion of forecast assumptions is provided.

Key Findings

What is Big Data in medical imaging?
Big Data in medical imaging refers to those datasets, including medical images and related datasets, that are in the order of petabytes ( terabytes or one million gigabytes) and are accessible to or managed by a single institution or governing entity. For the purpose of this research, the market opportunity for Big Data in medical imaging has been segmented into Big Data Management and Big Data Analytics.

How can we use it?
Leveraging Big Data in medical imaging requires a radically different approach than the conventional way of handling data, which relies on single, monolithic data archives. Often static and rigid, these conventional archives pose limits on scalability and sustainability as well as on usability.
Semantic technologies and a service-oriented architecture providing broker services for real-time, on-demand data access coupled with solid security services, are seen as the model of choice and the key for unlocking the potential of medical imaging Big Data.

What are the key growth drivers?
-Rising volumes of medical image datasets and accelerating trends towards provider consolidation and interconnectivity, leading to more archives falling into the realm of Big Data.
-Push for healthcare information technology (IT) interoperability and business intelligence in healthcare.
-Application of various enabling technologies that improve collection and dissemination of data to medical imaging.

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