The healthcare industries have been making rapid strides with respect to the cost and quality of care, increasingly fueled by extensive digitization of healthcare systems, world over. One of the impacts of the strides has invariably been the proliferation of complex heterogeneous data in diverse formats, especially unstructured data. The drive for big data analytics in healthcare industries stems from the need for analysis, integration, and the management of vast volumes of data. These data are produced largely from various electronic health records (EHR) and biomedical data of patients.
Advances in genomics, epigenomes, transcriptomics, proteomics, metabolomics, and pharmacogenomics, have contributed from the staggering rate of medical data generation. These data, undoubtedly, pack huge amount of knowledge to expand our understanding of patient care. The growing role of big data analytics in developing predictive models of care in the healthcare industries will open new, exciting frontiers in the market. Some of the other capabilities of big data analytics are providing analytical capability for patterns of care, decision support capability, reducing waste, and enhancing care delivery.
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Global Big Data Analytics in Healthcare Witness Most Promising Rise in Demand
Healthcare organizations world over are focused on leveraging the potential of these big data analytics technologies to enable them to provide best care and services for patient populations. The uptake of big data analytics has rather been slow compared to other end-use industries. However, in recent years, helped by data mining techniques and advances in healthcare IT infrastructure, the market for big data analytics in healthcare has been making large leaps in recent years. In addition, there has been rising use cases of big data analytics in various biosciences applications, especially for drug discovery and genomic sequencing. Coupled with this, the growing affordability of big data software and services is a notable factor aiding in the rapid evolution of the big data analytics in healthcare market.
The growing preference of cloud-based data analytics solutions among providers, payers, and patients is also creating lucrative avenues in the big data analytics in healthcare market. The growth in the big data analytics in healthcare market is also fueled by the growing focus of health policy makers on developing cost-effective models of healthcare services for worldwide populations.
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The study offers an in-depth assessment of various customers’ journeys pertinent to the market and its segments. It offers various customer impressions about the products and service use. The analysis takes a closer look at their pain points and fears across various customer touch points. The consultation and business intelligence solutions will help interested stakeholders, including CXOs, define customer experience maps tailored to their needs. This will help them aim at boosting customer engagement with their brands.
Key Players of Big Data Analytics in Healthcare Report:
The study takes a critical look at profiling of key players, their research and development initiatives, and the strategies adopted by them to consolidate their shares and positions in the market. Some of the key players in the big data analytics in healthcare market are Oracle Corporation, Siemens Healthcare Gmbh, Cognizant Technology Solutions, Hewlett-Packard Co., Koninklijke Philips N.V., and GE Healthcare.
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