HEALTHCARE

Market Overview: Healthcare predictive analytics are used to monitor healthcare information and come up with predictions regarding clinical outcomes, disease prognosis, financial affairs, and others. The healthcare predictive analytics market is marked by widespread usage of data-driven systems that analyze vast amounts of data to come up with actionable insight and projections. The increasing use of electronic healthcare records (EHR) is likely to be a major driver for the global healthcare predictive analytics market over the forecast period. Electronic healthcare records allow healthcare agencies to compile a detailed database about patients and medications, leading to more accurate decision making and safer clinical outcomes. The growing use of EHR in hospitals and other healthcare agencies has led to a growing demand for healthcare predictive analytics. The global Healthcare Predictive Analytics Market is expected to exhibit a strong 29.3% CAGR over the forecast period ( ...

Market Highlights It is estimated that the global Healthcare Predictive Analytics Market is expected to register a CAGR ~29.3% during the forecast period of 2018–2023 . Healthcare predictive analytics industry will witness a strong growth with amount of healthcare data exceeding 187 thousand petabytes in 2015. The remarkable increase in healthcare database volume, along with the healthcare providers are investing heavily on digital technology to manage crucial information is anticipated to fuel the growth of the market. On the other hand, factors such as political instability, economic stress, and lack of proactive government-led initiatives question the availability and accessibility of adequate funding are expected to hamper the growth of the market. The global healthcare predictive analytics market is conquered by several players. The key players are involved in new product launches, as well as strategic collaborations in order to brace their position in the market. Acce...