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Healthcare Predictive Analytics Market To Reach USD 28.77 Billion by 2027 With CAGR of 28.9% | Reports and Data

Reports And Data

Reports And Data

Exponential increase in healthcare database volume, increasing investments on digital tech to effectively manage available information

NEW YORK , NEW YORK, UNITED STATES, September 16, 2021 /EINPresswire.com/ -- According to the current analysis of Reports and Data, the Healthcare Predictive Analytics market is projected to grow at a rate of 28.9% in terms of value, from USD 3.74 Billion in 2019 to reach USD 28.77 Billion by 2027. The study covers Healthcare predictive analytics - analytical technique that analyses and predicts outcomes using statistical methods and technology, operating on massive amounts of relevant data for individual patients. Healthcare Predictive Analytics is widely being used in the healthcare sector all over the globe. The recent emergence of Healthcare Predictive Analytics as a time saving and cost minimizing tool is a major disruptive finding in the healthcare sector. In line with this, numerous firms and hospitals are adopting Healthcare Predictive Analytics, for time saving and cost cutting purpose. For instance, West Tennessee Healthcare saved more than 8,000 hours annually using Cerner's Continuous Advancement Services from an optimization project which reduced the number of discrete task assays that nurses completed on a timely basis.

Knowledge discovery, data mining, and machine learning techniques have recently attracted considerable attention, due to the growing amount of data available, and to the growing necessity to base the reasoning on evidence taken from physical measurements. Data-driven approaches to knowledge extraction have been developed as a consequence, complementing the more traditional human-centered approaches, by enabling systems to create new knowledge, update existing knowledge, and improve their performance without intervention and reprogramming. The organization (or representation) of medical knowledge is a very active research field, characterized by a wide range of tools, models and languages, which, together with the availability of increasing computer abilities, allows one to specify and emulate systems of growing complexity. Frame representations, semantic networks, conceptual graph representations are few popular basic representational schemes heavily used in the industry today. Exponential increase in healthcare database volume, increasing investments on digital tech to effectively manage available information, rising adoption of electronic health records to effectively manage patients health, adoption of advanced analytics, growing need for cost curbing tools such as healthcare predictive analytics, are some of the key factors propelling Healthcare Predictive Analytics market growth in the industry.

However, the high cost of analytics solutions, the dearth of skilled personnel, and operational gaps between payers and providers are the major hindrance for market growth during 2019-2026. Problems such as inaccurate diagnoses and poor drug-adherence pose challenges to individual health and safety. These challenges are now being alleviated, if not completely eradicated, with Healthcare Predictive Analytics using personalized drug regimes, follow-up alerts and real-time diagnosis monitoring. Pervasive and context-aware monitoring solutions are improving the quality of life for both patients suffering from chronic conditions and their relatives, as well as reducing long-term healthcare costs and improving the quality of care. The acquisition and representation of knowledge in clinical decision support systems is an actively evolving research field, characterized by modeling and software engineering issues of increasing complexity. The scope of designing knowledge-based systems in medicine is continuously evolving from being a mere diagnostic task to the broader issue of patient management, leading to a better integration in hospital information systems These benefits are expected to positively affect the Healthcare Predictive Analytics market.

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Key participants include

Cerner Corporation, McKesson Corporation, Verisk Analytics, Inc., IBM, Oracle, MedeAnalytics, Inc., SAS, Optum, Inc., Allscripts, and Inovalon

Market Overview:

The pharma and healthcare industry has undergone a revolutionary change owing to the COVID-19 pandemic with individuals increasing their focus on health and wellness. Companies operating in the industry have invested heavily in clinical trials and research studies to develop medications to cater to the growing unmet clinical demand on a global level. Implementation of cutting-edge technology in healthcare sector and increasing investment in research and development have contributed significantly to revenue growth of the market in the recent past. In addition, availability of favorable health insurance and reimbursement policies have also positively impacted the healthcare sector with more and more individuals opting to get treatment at hospital and clinical facilities. Rapid development of novel drugs and pharmaceuticals, increasing incidence of lifestyle and chronic diseases, establishment of state-of-the-art healthcare facilities, and rising availability of over-the-counter medications have significantly contributed to the revenue growth of the market.

The report has gather vital information about recent mergers and acquisitions, joint ventures, collaborations, partnerships, brand promotions, R&D activities, and government and corporate deals, among others through extensive primary and secondary research. The report also offers detailed analysis of each competitor along with their financial standing, global market position, product portfolio, manufacturing and production capacity, and business expansion plans.

The report offers a comprehensive overview of the regional bifurcation of the market with respect to market share, market size, revenue growth, import/export, production and consumption patterns, macro and micro economic growth factors, regulatory framework, investment and funding opportunities, and presence of key players in each region including North America, Asia Pacific, Latin America, Europe, and Middle East & Africa. The report offers a country-wise analysis to further discuss the revenue growth and lucrative growth opportunities for the Healthcare Predictive Analytics market in these key regions.

Further key findings from the report suggest

• Healthcare Predictive Analytics market is growing at a CAGR of 3% in North America followed by Asia Pacific and Europe, respectively. Growing adoption of electronic health records system to effectively manage patient health and reduce overall cost is the prominent factor to accelerate the market growth during forecast period across all regions

• As of 2018, financial application type segment is the dominating Healthcare Predictive Analytics which holds a significant share of the global healthcare predictive analytics market. European regional market is the prominent revenue generating source for this product segment, followed by North America, Asia-Pacific, and other regions

• Asia Pacific is expected to account for the third largest share of the global Healthcare Predictive Analytics market. Developing nations such China, and India are likely to witness significant growth

• The European region for Healthcare Predictive Analytics was valued the second-highest amongst all regions

• Reluctance to adopt healthcare predictive analytics in emerging countries and dearth of skilled professionals is likely to hinder the market growth during the forecast period

• Exponential increase in healthcare database volume, increasing investments on digital tech to effectively manage available information, rising adoption of electronic health records to effectively manage patients health are expected to alleviate restraints to industry growth

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For the purpose of this report, Reports and Data has segmented the Healthcare Predictive Analytics market on the basis of application, end use, and region:

Application Outlook (Revenue, USD Million; 2017-2027)

• Operations Management
• Financial
• Population Health
• Clinical Data

End-Use Outlook (Revenue, USD Million; 2017-2027)

• Payers
• Providers
• Others

Regional Outlook (Revenue, USD Million; 2017-2027)

• North America
• Europe
• Asia Pacific
• Latin America
• MEA

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About Reports and Data

Reports and Data is a market research and consulting company that provides syndicated research reports, customized research reports, and consulting services. Our solutions purely focus on your purpose to locate, target and analyze consumer behavior shifts across demographics, across industries and help client’s make a smarter business decision. We offer market intelligence studies ensuring relevant and fact-based research across a multiple industries including Healthcare, Technology, Chemicals, Power and Energy. We consistently update our research offerings to ensure our clients are aware about the latest trends existent in the market. Reports and Data has a strong base of experienced analysts from varied areas of expertise.

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