What is the Size of Healthcare Predictive Analytics Market ? :
The latest research study “Healthcare Predictive Analytics Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028” by IMARC Group, finds that the global healthcare predictive analytics market size reached US$ 7.8 Billion in 2022. Looking forward, IMARC Group expects the market to reach a value of US$ 27.6 Billion by 2028, exhibiting a growth rate (CAGR) of 22% during 2023-2028.
Healthcare predictive analytics represents advanced software systems that can automatically analyze a large amount of historical and current data to offer actionable insights, enhance decision-making, and optimize treatment outcomes within the healthcare industry. They include several solutions, such as clinical data analytics, financial data analytics, research data analytics, operation management, etc. Healthcare predictive analytics services aid in facilitating more effective courses of treatment, predicting a patient's vulnerability to a particular medical condition, ensuring improved scheduling for both patients and staff, and allowing effective resource allocation. They also assist in remote monitoring, treatment course designing, prognosis, clinical decision support, etc. Consequently, they find extensive utilization in healthcare and pharmaceutical sectors across the globe.
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Competitive Landscape with Key Players:
The competitive landscape of the industry has also been examined along with the profiles of the key players being
Global Healthcare Predictive Analytics Market Development and Growth:
The growing healthcare industry across countries and the escalating adoption of electronic health record (EHR) systems to effectively manage patient outcomes and provide complete, accurate, and up-to-date information are primarily driving the healthcare predictive analytics market. In addition to this, the elevating integration of advanced technologies, including the internet of things (IoT) and big data that help to collect patient records and test results, analyze disease patterns, and increase patient comfort and convenience, is acting as another significant growth-inducing factor. Apart from this, the shifting preferences toward the system, owing to its cost-effectiveness and efficient fraud detection and decision-making capabilities, are also positively influencing the global market. Moreover, the expanding geriatric population, which is prone to chronic diseases, and the inflating investments by government bodies to make significant improvements in healthcare infrastructure are expected to propel the healthcare predictive analytics market in the coming years.
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