Healthcare Predictive Analytics Market Top Scenario, SWOT Analysis, Business Overview, Forecast 2023

Research Reports

Jan 22, 2021

The growing interest in population health management systems is likely to be a major driver for the global healthcare predictive analytics market over the forecast period. Prediction and prevention of diseases goes hand in hand, leading to governments investing heavily in predictive analytics for use in healthcare applications. Population health management systems store healthcare data for large populations and can predict outbreaks of certain chronic diseases.

The global healthcare predictive analytics market is expected to exhibit a robust 29.3% CAGR over the forecast period from 2018 to 2023, according to the latest research report from Market Research Future (MRFR). The global healthcare predictive analytics market is expected to grow significantly over the forecast period due to the growing awareness about the utility of predictive analytics in the healthcare sector.

Only a small portion of healthcare agencies use automated supply chain, leading to lapses and inefficiencies in the chain. This can be prevented by the use of predictive analytics, making supply chains more efficient. Ensuring strong data security is also likely to be a major application for healthcare predictive analytics in the coming years.

Regional Analysis:

The Americas, further segmented into North and Latin America, hold the dominant share in the global healthcare predictive analytics market, led by North America. The U.S. holds the largest share in the global healthcare predictive analytics market and is likely to remain a major regional market over the forecast period.

North America is home to several leading players in the global healthcare predictive analytics market, leading to widespread incorporation of healthcare predictive analytics solutions in the region. This is a major driver for the Americas market for healthcare predictive analytics. Europe holds the second largest share in the global healthcare predictive analytics market, with Asia Pacific expected to exhibit the highest growth rate over the forecast period.

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Segmentation:

The global healthcare predictive analytics market is segmented on the basis of component, application, end user, and region.

The healthcare predictive analytics market, by component, is categorized into services, software, and hardware.

Based on application, the healthcare predictive analytics market is segmented into operations management, financial, population health, and clinical. The operations management segment is further divided into demand forecasting, workforce planning and scheduling, inpatient scheduling, and outpatient scheduling. The financial segment is further divided into revenue cycle management, fraud detection, and others

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Competitive Leaderboard:

Leading players in the global healthcare predictive analytics market include IBM, Cerner Corporation, Verisk Analytics Inc., McKesson Corporation, SAS, Oracle, Allscripts, Optum Inc., MedeAnalytics Inc., Inovalon, Health Catalyst, SCIO Health Analytics, Verscend Technologies Inc., CitiusTech Inc., Wipro Limited, and VitreosHealth.

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