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  • Healthcare Predictive Analytics Market Type and Application, Trend, Growth Opportunities by Regions, Global Forecast to 2023

    (I-SoftwareNews.Com, November 06, 2018 ) The global healthcare predictive analytics market is segmented into its type, application, component, delivery model, end-user, and geography. On the basis of type, the market is divided into predictive analytics, descriptive analytics, and prescriptive analytics. Based on the application the market is segregated into financial analytics, clinical analytics, population health analytics and operational and administrative analytics. The financial analytics is further classified into claims processing, revenue cycle management, fraud, waste, and abuse (FWA), payment integrity and risk adjustment, the clinical analytics is further divided into comparative analytics/comparative effectiveness, quality improvement and clinical benchmarking, reporting and compliance and clinical decision support and precision health and the operational and administrative analytics is divided into workforce management, supply chain management and strategic analysis. On the basis of the component, the market is classified into services, software, and hardware.

    Healthcare predictive analytics industry will witness a strong growth with amount of healthcare data exceeding 187 thousand petabytes in 2015. Owing to the remarkable increase in healthcare database volume, healthcare providers are investing heavily on digital technology to manage crucial information. This healthcare transformation has pushed healthcare industry towards data integration and analytics leading to high demand for healthcare predictive analytics software worldwide.

    Top Companies Profiled in This Report Include

    IBM, Cerner, Verisk, McKesson, SAS, Oracle, Allscripts, Optum, MedeAnalytics

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    Based on application, the market is segmented into clinical analytics, financial analytics, operational and administrative analytics, and population health analytics. The clinical analytics segment is expected to register the highest CAGR during the forecast period. The high growth of this segment is attributed to the growing adoption of analytics by healthcare providers due to the rising pressure to curb healthcare costs, federal mandates such as the implementation of ICD-10 code sets, increasing adoption of electronic healthcare records, need to improve patient outcomes and reduce hospital readmission rates, and rising focus on personalized medicine-based analytics.

    The key shareholder in the healthcare predictive analytics market has been North America. The major factor contributing towards the growth in this region is the availability of skilled workforce. Growth is mainly centered in the U.S. and Canada. Following North America in its growth will be Asia Pacific. Major reasons for the growth include the rapid development of the information technology industry, economic development in this region and the tremendously rising IT outsourcing. Countries such as Japan, India, and China are important contributors in this region. A significant market share is also provided by regions such as Europe which includes the U.K., Germany and France, Latin America and the Middle East and Africa.

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    Table of Content

    1 Introduction
    1.1 Scope of Study
    1.2 Research Report Guidance

    2 Key Takeaways

    3 Healthcare Predictive Analytics Market Landscape
    3.1 Market Overview
    3.2 Market Segmentation
    3.3 PEST Analysis

    4 Healthcare Predictive Analytics Market-Key Industry Dynamics
    4.1 Key Market Drivers
    4.2 Key Market Restraints
    4.3 Key Market Opportunities
    4.4 Future Trends
    4.5 Impact Analysis

    5 Healthcare Predictive Analytics Market-Global Analysis
    5.1 Global Healthcare Predictive Analytics Market Overview
    5.2 Global Healthcare Predictive Analytics Market Forecasts and Analysis (US$ Mn)
    5.3 Market Positioning/Market Share
    5.4 Performance of Key Players
    5.5 Expert Opinions

    6 Healthcare Predictive Analytics Market-Global Regulatory Scenario

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    Rajat Sahni


    Source: EmailWire.Com


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