The global healthcare predictive analytics market is expected to grow substantially, reaching $22.39 billion by 2026. Rising volumes of healthcare data, investments in digital technologies, and adoption of electronic health records are fueling growth of 28.9% annually. Predictive analytics can help curb costs by saving time. Major players in the market include Cerner, McKesson, IBM, and Optum, which provide solutions for operations, finance, population health and clinical applications to payers, providers, and other organizations. The market is expanding beyond diagnostics into broader patient management and integration with hospital systems.

1. Healthcare
Predictive Analytics
Market To Reach USD
22,390.3 Million By
2026
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2. Exponential increase in healthcare database volume, increasing investments on digital
tech to effectively manage available information, rising adoption of electronic health
records to effectively manage patients health, adoption of advanced analytics, growing
need for cost curbing tools such as healthcare predictive analytics software are key factors
contributing to high CAGR of Healthcare Predictive Analytics market during forecast
period.
Market Size – USD 2,904.2 million in 2018, Market Growth - CAGR of 28.9%, Market Trends
– Product launches and research for Healthcare Predictive Analytics
According to the current analysis of Reports and Data, the global Healthcare Predictive Analytics
market was valued at USD 2,904.2 million in 2018 and is expected to reach USD 22,390.3 million
by the year 2026, at a CAGR of 28.9 %. The study covers Healthcare predictive analytics -
analytical technique that analyses and predicts outcomes using statistical methods and
technology, operating on massive amounts of relevant data for individual patients.
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3. Market Summary
Beneficial Aspects of the Report:
Healthcare Predictive Analytics is widely being used in the healthcare sector all over the globe. The recent
emergence of Healthcare Predictive Analytics as a time saving and cost minimizing tool is a major
disruptive finding in the healthcare sector. In line with this, numerous firms and hospitals are adopting
Healthcare Predictive Analytics, for time saving and cost cutting purpose. For instance, West Tennessee
Healthcare saved more than 8,000 hours annually using Cerner's Continuous Advancement Services from
an optimization project which reduced the number of discrete task assays that nurses completed on a
timely basis. Knowledge discovery, data mining, and machine learning techniques have recently attracted
considerable attention, due to the growing amount of data available, and to the growing necessity to base
the reasoning on evidence taken from physical measurements.
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4. Market Summary
Some of the key players operating in the Market include:
Cerner Corporation, McKesson Corporation, Verisk Analytics, Inc., IBM, Oracle, MedeAnalytics, Inc., SAS,
Optum, Inc., Allscripts, and Inovalon
Application Type (Revenue, USD Million; 2016–2026)
Operations Management
Financial
Population Health
Clinical Data
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predictive-analytics-market
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5. Market Summary
Further key findings from the report suggest
End Use (Revenue, USD Million; 2016–2026)
Payers
Providers
Others
The scope of designing knowledge-based systems in medicine is continuously evolving from being a
mere diagnostic task to the broader issue of patient management, leading to a better integration in
hospital information systems These benefits are expected to positively affect the Healthcare Predictive
Analytics market.
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