Healthcare Predictive Analytics Market, By Application (Clinical Data Analytics, Financial Data Analytics, Administrative Data Analytics, and Research Data Analytics), By Component (Software, Hardware, and Services), By Deployment (On Premise and Cloud Based), By End-User (Healthcare Providers, Industry, and Research Institutions), and By Geography (North America, Europe, Asia-Pacific, Middle East and Africa, and South America) - Size, Share, Outlook, and Opportunity Analysis, 2022 - 2028
Predictive analytics in healthcare refers to the analysis of current and historical healthcare data that allows healthcare professionals to find opportunities to make more effective and more efficient operational and clinical decisions, predict trends, and even manage the spread of the diseases. Clinicians, healthcare organizations, and health insurance companies use predictive analytics to articulate the likelihood of their patients developing certain medical conditions, such as cardiac problems, diabetes, stroke, or COPD, among others. It is useful at every step in a patient's journey, including diagnosis, prognosis, and treatment.
Market Dynamics:
Rising burden of chronic diseases, growing pressure to curb healthcare spending and improve patient outcomes, need of increasing efficiency in the healthcare sector, and use of analytics in precision and personalized medicine are some major factors expected to drive growth of the global healthcare predictive analytics market.
For instance, in September 2021, Sensyne Health Plc announces the launch of SENSIGHT, an AI enabled data analytics platform for the healthcare and life sciences sector. The new analytics platform is built on a rapidly growing, deep and broad set of de-identified patient data derived from the research partnerships Sensyne has entered into with the U.S. Health Systems and NHS Hospital Trusts in the U.K. that currently covers more than 22.5 million patients across a range of disease areas. The platform will evolve rapidly, adding researchable disease areas, analytical tools and patient data towards a planned data set of 100 million patients by 2024.
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