It is estimated that the global healthcare predictive analytics market trend is assessed to flourish a sound CAGR of more than 29.50% to reach USD 65.5 billion during the appraisal time frame from 2022 to 2030. The global healthcare predictive analytics market is expected to witness tremendous growth owing to the government initiatives to increase EHR adoption, growing venture capital investments, growing pressure to curb healthcare spending and improve patient outcomes. Other key factors such as rising healthcare costs; curb fraudulent claims, optimize provider networks, operational costs; increasing competition, the growing need to increase memberships are compelling healthcare payers to adopt analytics solutions.
However, factors such as lack of trained medical professionals is expected to curb the growth of the market during the forecast period.
On the regional basis, the healthcare predictive analytics market research in the Americas is predicted to dominate the market during the forecast period. The North American region holds substantial share in the global market.
Healthcare Predictive Analytics refers to the use of advanced analytics techniques, machine learning algorithms, and artificial intelligence to analyze historical data and predict future outcomes. The technology aims to identify patterns, trends, and associations in vast amounts of patient information to provide actionable insights. These insights empower healthcare providers, administrators, and policymakers to make informed decisions, reduce costs, and enhance patient care.
Healthcare predictive analytics is the application of data mining, statistical modeling, machine learning, and artificial intelligence techniques to analyze and process healthcare data and generate insights for improving patient outcomes, reducing costs, enhancing quality, and optimizing operations. Healthcare predictive analytics can help healthcare organizations, hospitals, and doctors to deliver data-based high-quality care, precise diagnoses, and individualized treatments.
The healthcare predictive analytics market is a rapidly growing and evolving sector that is driven by various factors, such as the increasing volume and variety of healthcare data; the rising demand for evidence-based decision making; the growing adoption of electronic health records (EHRs), population health management (PHM), and telehealth; the emergence of new technologies such as cloud computing, big data, and internet of things (IoT); and the rising awareness and preference for preventive and personalized care.
Some of the key players in the global intraocular lens market are IBM Corporation (US), Optum, Inc. (US), Cerner Corporation (US), SAS Institute, Inc. (US), Allscripts Health Solutions (US), McKesson Corporation (US), MedeAnalytics, Inc. (US), Inovalon (US), Oracle Corporation (US), Health Catalyst (US), SCIO Health Analytics (US), Verscend Technologies, Inc. (US), CitiusTech, Inc. (US), Wipro Limited (India), and VitreosHealth (US).
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