Health Care Predictive Analytics Market is driven by rising attention toward personalized patient care, growing awareness in the market, and advancements in health care technologies led by increased health care spending
Predictive analytics is a technology used in the field of business intelligence that produces predictive
information for customers or organizations. Predictive analytics uses machine information, data mining,
and business intelligence tools in order to make predictions. Also, it involves statistics and different
modeling techniques to derive some information. Presence of a large volume of structured and
unstructured data and wide technology distribution are major factors driving the predictive analytics
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Developing countries worldwide are confronting issues caused by sudden increase in drug prices.
Governments of these countries are taking steps to provide good-quality affordable health care services.
These factors are projected to drive the health care predictive analytics market during the forecast period.
Additionally, rising attention toward personalized patient care, growing awareness in the market, and
advancements in health care technologies led by increased health care spending are fueling the market.
However, factors such as data insecurity, privacy issues, and lack of experienced professionals in the field
of predictive analytics are hindering the health care predictive analytics market.
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Rising adoption of electronic health records among patients and health care providers to better manage
the details has reduced the overall expenses associated with manual work. This has boosted the demand
for predictive analytics in the health care industry.
The global health care predictive analytics market can be segmented based on application and end-user.
Based on application, the health care predictive analytics market can be segmented into financial,
operations management, population health, and clinical. Based on end-user, the market can be
segmented into payers, p