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The United States healthcare big data analytics market is currently witnessing strong growth. Big data analytics is a set of predictive models and statistical algorithms that are processed by data scientists and machine learning algorithms. It helps identify geographic markets with high growth potential by providing information about the needs and preferences of physicians and patients. In the United States, a large amount of data is generated in the healthcare industry driven by patient care, record keeping, and compliance and regulatory requirements. Along with this, the rise in value-based care and rapid digitalization of healthcare information has prompted healthcare providers across the country to shift toward big data analytics for making strategic decisions.
The United States healthcare big data analytics market is primarily driven by the need to eliminate incidences relating to adverse drug events (ADEs), as big data analytics help identify fatal prescription errors before they occur. Additionally, the growing adoption of electronic health records (EHR), along with the ever-increasing federal healthcare mandates to minimize healthcare costs, is propelling the growth of the market. Furthermore, the government is undertaking several initiatives to focus on personalized medicine, health management and value-added reimbursements. On account of this, organizations in the industry are leveraging big data analytics to reduce inefficiencies in clinical operations, research and development, and public healthcare. Moreover, hospitals and health systems in the United States have leveraged predictive models to gain insight into the coronavirus disease (COVID-19) outcomes, which, in turn, is driving the growth of the market. As a result of these factors, the market is expected to continue growing at a strong rate during the forecast period (2020-2025).
IMARC Group provides an analysis of the key trends in each sub-segment of the United States 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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