The North America Healthcare Predictive Analytics Market would witness market growth of 20.45% CAGR during the forecast period (2019-2025).
Healthcare Predictive Analytics is rapidly becoming the most-discussed, and perhaps the most-hyped topic in healthcare analytics. Predictive analytics is a well-studied discipline that has a long and sordid history of achievement in many sectors. Healthcare can learn useful lessons from this past achievement to jumpstart the use of predictive analytics to improve patient care, hospital administration, chronic disease management, and supply chain efficiencies.
Projections produced exclusively for the sake of predicting are, however, a waste of time and money. Prediction is most helpful in healthcare and other sectors when this understanding can be transmitted into practice. The readiness to intervene is the key to utilizing the potential of historical and real-time information. Crucially, for the best measure of efficacy and value, both the predictor and the intervention must be integrated into the same system and workflow where the trend occurs.
Based on Application, the market is segmented into Operations Management, Financial Analytics, Population Health and Clinical. Based on End User, the market is segmented into Healthcare Payers, Healthcare and Others. Based on Component, the market is segmented into Hardware, Software and Services. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report Allscripts Healthcare Solutions, Inc., Cerner Corporation, IBM Corporation, Information Builders, Inc., Medeanalytics, Inc., Unitedhealth Group, Inc., Oracle Corporation, Microsoft Corporation, Verisk Analytics, Inc. and Health Fidelity, Inc.
Market Segmentation:
By Application
By End User
By Component
By Country
Companies Profiled
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