Big Data Analytics in Healthcare Market 2017-26: Global Trends in the Competitive, Technological and R&D Landscape

Rockville, US, 2018-Jun-11 — /EPR Network/ — The rapidly expanding big data analytics in healthcare market is the focus of a new report added to the market intelligence repository of Fact.MR. This 170-page broad study is headlined as “Big Data & Analytics in Healthcare Market Research Forecast, Trend Analysis & Competition Tracking: Global Review 2017 to 2026” which noticeably examines the prospects of the global big data analytics in healthcare industry till the end of 2022, using the market’s development trajectory in the recent past as the key indicator of actionable insights into the market’s growth pattern. A blend of primary & secondary research has been implemented for offering estimates and forecasts on the concerned market.

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Big Data Analytics to Boost Precision Medicine Research

Precision medicine holds potential to shift from the one-size-fits-all approach toward using patient-specific therapeutics by using large amount of data gathered from tools including genomics, mobile biometric sensors, and smartphone apps. Health data is enabling doctors in building predictive models and better patient profiles for more effective anticipation, diagnosis and treatment of various diseases. In addition, partnerships and collaborations between healthcare organizations and researchers have resulted into the development of data pools, which can be used for constructing better personalized healthcare models. Such new capabilities are yet at a nascent phase, and big data capabilities & policies are expected to expand for enabling patient data to constantly inform health research.

Big Data Analytics to help Healthcare Organizations in Cutting Costs

Several healthcare organizations are already using big data analytics, and majority among these believe big data analytics would save them over 25% in annual costs in the upcoming years. One of the several ways that big data analytics can enable cost reduction is by curtailing the hospital readmission rate. The big data analytics approach is adhered by healthcare organizations while seeking relationships consistent with readmissions, which they could not predict or understand before. Once these relationships are identified, healthcare organizations can set up protocols for dealing with patients and prevent readmission. In addition, big data analytics can enable forecasting operating room demands, optimizing staffing, streamlining patient care, and creating measures for improving pharmaceutical supply chain.

Competition Tracking

Competition in the global big data analytics in healthcare market is expected to intensify on the back of mergers and partnerships between prominent players. New marker entrant face barriers such as high deployment cost, and find it difficult to cope up with well-established players in terms of innovation and quality. Key market players identified by the report include IBM Corporation, OptumHealth Care Solutions, Microsoft Corp, McKesson, MedeAnalytics, Verisk Analytics, Allscripts Healthcare Solutions, Oracle Corp, Zephyr Health, Cisco Systems Inc., Infosys, SAS Institute, Alteryx, SAP SE, and Denodo Technologies Inc.

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Table of Contents:

1. Global Economic Outlook
2. Global Big Data & Analytics in Healthcare Market – Executive Summary
3. Global Big Data & Analytics in Healthcare Market Overview
   3.1. Introduction
   3.1.1. Global Big Data & Analytics in Healthcare Market Taxonomy
   3.1.2. Global Big Data & Analytics in Healthcare Market Definition
   3.2. Global Big Data & Analytics in Healthcare Market Size (US$ Mn) and Forecast, 2012-2026
   3.2.1. Global Big Data & Analytics in Healthcare Market Y-o-Y Growth
   3.3. Global Big Data & Analytics in Healthcare Market Dynamics
   3.4. Value Chain
   3.5. Architecture of Big Data Analytics
   3.6. Modern Data Platform (Technology Roadmap)
   3.7. Integration of Data Sets for Major Opportunities
   3.8. Client Survey about Deployment of Big Data & Analytics Technology
   3.9 Four Dimensions (4 V’s) of Big Data
   3.10. Outline of Big Data Analytics in Healthcare Methodology
   3.11 Global Healthcare Spending of Top 10 Countries
   3.12 United States Healthcare Spending by type of services/products & Major source of Funds, 2016
   3.13. Key Participants Market Presence (Intensity Map) By Region
4. Global Big Data & Analytics in Healthcare Market Analysis and Forecast 2012-2026 
   4.1. Global Big Data & Analytics in Healthcare Market Size and Forecast By Spender Type, 2012-2026
   4.1.1. Healthcare Payer  Market Size and Forecast, 2012-2026
   4.1.1.1. Revenue (US$ Mn) Comparison, By Region
   4.1.1.2. Market Share Comparison, By Region
   4.1.1.3. Y-o-Y growth Comparison, By Region
   4.1.2. Healthcare Provider Market Size and Forecast, 2012-2026
   4.1.2.1. Revenue (US$ Mn) Comparison, By Region
   4.1.2.2. Market Share Comparison, By Region
   4.1.2.3. Y-o-Y growth Comparison, By Region

Continued……..

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