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The Europe healthcare big data analytics market is currently witnessing robust growth. Healthcare big data analytics refers to the process of collecting, analyzing and leveraging consumer, patient, physical, and clinical data that is supported by high-performance analytics systems. The rise of value-based care and rapid digitization of healthcare information has prompted the industry to switch to big data analytics for making strategic decisions. In recent years, big data has become an integral part of the healthcare sector due to the availability of a vast amount of data, growing healthcare costs, and a focus on consumerism. This technology also helps in detecting healthcare frauds effectively, and analyzing clinical trials and patient records.
The Europe healthcare big data analytics market is primarily driven by increasing research and development (R&D) activities. This is due to constant government support and a well-established healthcare sector in the region. Besides this, the growing demand for smart connected devices is also propelling the growth of the market. Additionally, the increasing digitization has enabled various healthcare organizations to adopt big data analytics solutions as they help healthcare providers to customize treatment plans and reduce the inefficiency in clinical operations. Moreover, with the spread of the coronavirus disease (COVID-19), the healthcare industry in Europe has adopted descriptive analytics, predictive analytics, and prescriptive analytics, which enable doctors and hospital in-charge personnel to detect the critical condition of a patient by processing sensors data and instantly alert the doctors. Looking forward, the market is expected to continue its robust growth during the forecast period (2020-2025).
IMARC Group provides an analysis of the key trends in each sub-segment of the Europe healthcare big data analytics market report, along with forecasts for growth at the region level from 2020-2025. Our report has categorized the market based on region, component, analytics type, delivery model, application and end user.
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The competitive landscape of the industry has also been examined along with the profiles of the key players.
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