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Big Data Analytics In Healthcare Market Projected To Reach $67.82 Billion by 2025 With Growing at a CAGR of 19.1% | Analysis And Forecast By Top Key Players All Scripts, Cerner, Dell EMC, Epic System Corporation, General Electric Healthcare .
Big Data Analytics In Healthcare Market By Component (Software And Services), Deployment (On-Premise And Cloud), Analytics Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, And Diagnostic Analytics), Application (Clinical Analytics, Financial Analytics, And Operational Analytics), And End User (Hospitals & Clinics, Finance & Insurance Agencies, And Research Organizations): Global Opportunity Analysis And Industry Forecast, 2018 - 2025Big Data Analytics In Healthcare Market Overview:
Big data analytics in healthcare is an analytic solution that derives insights on patient information and improves treatment techniques by enabling evidence-based disease prevention modeling and diagnostic analysis. The key players, such as IBM Corporation, Optum, Microsoft, and others, provide innovative analytical solutions such as population health management, biometric analysis, clinical decision support, revenue cycle management, risk assessment, value-based analytics, and others to healthcare end users. In addition, big data analytics optimizes process-oriented expenditures in the healthcare industry by improving the population health, integrating performance modeling with financial and predictive care monitoring, and others. The global big data analytics in healthcare market size was valued at $16.87 billion in 2017, and is projected to reach $67.82 billion by 2025, growing at a CAGR of 19.1% from 2018 to 2025.
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The global big data analytics in healthcare market is segmented based on component, deployment, analytics type, application, end user, and region. In terms of component, the market is bifurcated into software and services. On the basis of deployment, it is fragmented into on-premise and cloud. Depending on analytics type, it is segregated into descriptive analytics, predictive analytics, prescriptive analytics, and diagnostic analytics.
By application, it is classified into clinical analytics, financial analytics, and operational analytics. By end user segment, it is divided into hospitals & clinics, finance & insurance agencies, and research organizations. Region wise, big data analytics in healthcare market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The global big data analytics in healthcare market is dominated by key players such as All Scripts, Cerner, Dell EMC, Epic System Corporation, GE Healthcare, Hewlett Packard Enterprise (HPE), International Business Machines (IBM) Corporation, Microsoft, Optum, and Oracle Corporation.
Key Benefits for Big Data Analytics In Healthcare Market:
• The study presents an in-depth analysis of the global big data analytics in healthcare market along with the current & future trends to elucidate the imminent investment pockets.
• Information about key drivers, restraints, and opportunities and their impact analysis on the market is provided in this study.
• Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the global big data analytics in healthcare industry.
• The quantitative analysis of the global big data analytics in healthcare market from 2017 to 2025 is provided to determine the market potential.
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Big Data Analytics In Healthcare Key Market Segments:
By Component
• Software
• Services
By Deployment
• On-premise
• Cloud
By Analytics Type
• Descriptive Analytics
• Predictive Analytics
• Prescriptive Analytics
• Diagnostic Analytics
By Applications
• Clinical Analytics
• Financial Analytics
• Operational Analytics
By End User
• Hospitals & Clinics
• Finance & Insurance Agencies
• Research Organizations
By Region
• North America
• Europe
• Rest of Europe
• Asia-Pacific
• LAMEA
• Latin America
• Middle East Africa
Key Market Players
All Scripts, Cerner, Dell EMC, Epic System Corporation, General Electric Healthcare, Hewlett Packard Enterprise (HPE), International Business Machines (IBM) Corporation, Microsoft, Optum, Oracle Corporation .
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