Sales of Big Data Analytics in the Healthcare Market Will Generate Over $45,000 Million in Revenue Through 2026 A new report collated by Fact.MR projects the global big data analytics in healthcare market to exhibit a high double-digit CAGR through the forecast period 2017 to 2026. Over US$ 45,000 Mn revenues will be reaped from worldwide sales of big data analytics in the healthcare market by 2026-end. Global Big Data Analytics market study sheds light on the important growth dynamics expected to prevail across the assessment period. (Insert forecast period). The study offers statistics of key segments across prominent geographies, along with a detailed mapping of the global competitive landscape. For detailed insights on enhancing your product footprint, request for a sample here – https://www.factmr.com/connectus/sample?flag=S&rep_id=369 The market report tracks the global sales of Big Data Analytics in 20+ high growth markets, along with analysing the impact of COVID-19 has had on information & communication technology (ICT) industry and Big Data Analytics sector in particular. Big Data Analytics to Boost Precision Medicine Research Precision medicine holds potential to shift from the one-size-fits-all approach toward using patient-specific therapeutics by using large amount of data gathered from tools including genomics, mobile biometric sensors, and smartphone apps. Health data is enabling doctors in building predictive models and better patient profiles for more effective anticipation, diagnosis and treatment of various diseases. In addition, partnerships and collaborations between healthcare organizations and researchers have resulted into the development of data pools, which can be used for constructing better personalized healthcare models. Such new capabilities are yet at a nascent phase, and big data capabilities & policies are expected to expand for enabling patient data to constantly inform health research. Market analysis of Big Data Analytics in Healthcare Several healthcare organizations are already using big data analytics, and majority among these believe big data analytics would save them over 25% in annual costs in the upcoming years. One of the several ways that big data analytics can enable cost reduction is by curtailing the hospital readmission rate. The big data analytics approach is adhered by healthcare organizations while seeking relationships consistent with readmissions, which they could not predict or understand before. For critical insights on this market, request for methodology here – https://www.factmr.com/connectus/sample?flag=RM&rep_id=369 Once these relationships are identified, healthcare organizations can set up protocols for dealing with patients and prevent readmission. In addition, big data analytics can enable forecasting operating room demands, optimizing staffing, streamlining patient care, and creating measures for improving pharmaceutical supply chain.