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Big Data Analytics in Healthcare Market Opportunities, Growth Factors, Ongoing Trends, Market Revenue Upto 2026.

02-20-2018 02:37 PM CET | Business, Economy, Finances, Banking & Insurance

Press release from: Fact.MR

Fact.MR

Fact.MR

Growth of the global big data analytics in healthcare market is anticipated to remain influenced by a slew of factors including surging government initiatives for increasing EHR adoption, rising pressure to curtail healthcare costs, soaring availability of big data in healthcare, growing venture capital investments, increasing focus to improve patient outcomes, and soaring technological advancements. This Fact.MR report analyzes the expansion of global big data analytics in healthcare market till date, and provides key insights on the growth of the market during the forecast period, 2017-2022.

Big Data Analytics Enhancing Decision Making Capacity of Healthcare Enterprises

Big data analytics has paved a new path for healthcare organizations to devise actionable insights, boost up the outcomes, reduce time to value, and organize their future vision. This approach has been deemed helpful in providing insightful information to healthcare enterprises with regard to their planning, measurements, and management. The evaluated results further help in enhancing decision making capacity of these enterprises. By recording disease outbreaks and analyzing disease patterns, big data analytics approach can improve public health issues. Large quantity of data help in determining needs, offering required services, and predicting & preventing future crises. Big data analytics approach also helps in evaluating standard medical data, structured or unstructured, for predicting patients at risk and providing them with effective care.

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On the back of rising pressure of curbing healthcare costs, growing adherence toward electronic health records (EHRs), emphasis on improving patient outcomes and reducing hospital readmission rates have spurred the adoption of CRM analytics tool. CRM analytics will remain the most lucrative tool in the market, followed by financial analytics, production reporting, and supply chain analytics, which are increasingly adopted for complying with federal mandates regarding ICD-10 code sets’ implementation.

Key Research Findings from Fact.MR’s Report on Big Data Analytics in Healthcare Market

Healthcare provider will continue to be the dominant spender in the global big data analytics in healthcare market

Access operational information will remain the fastest expanding application of big data analytics in healthcare, followed by access transactional data

Sales of cloud-based deployment of big data analytics in healthcare will register the highest CAGR through 2026

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.

Browse Full Report With TOC- https://www.factmr.com/report/369/big-data-analytics-healthcare-market

Table of Content

Global Economic Outlook
Global Big Data & Analytics in Healthcare Market - Executive Summary
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
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
4.2. Global Big Data & Analytics in Healthcare Market Size and Forecast By Tool Type, 2012-2026
       4.2.1. Data Warehouse Analytics Market Size and Forecast, 2012-2026
                4.2.1.1. Revenue (US$ Mn) Comparison, By Region
                4.2.1.2. Market Share Comparison, By Region
                4.2.1.3. Y-o-Y growth Comparison, By Region
       4.2.2. Financial Analytics Market Size and Forecast, 2012-2026
                4.2.2.1. Revenue (US$ Mn) Comparison, By Region
                4.2.2.2. Market Share Comparison, By Region
                4.2.2.3. Y-o-Y growth Comparison, By Region
       4.2.3. Production Reporting Market Size and Forecast, 2012-2026
                4.2.3.1. Revenue (US$ Mn) Comparison, By Region
                4.2.3.2. Market Share Comparison, By Region
                4.2.3.3. Y-o-Y growth Comparison, By Region
       4.2.4. CRM Analytics  Market Size and Forecast, 2012-2026
                4.2.4.1. Revenue (US$ Mn) Comparison, By Region
                4.2.4.2. Market Share Comparison, By Region
                4.2.4.3. Y-o-Y growth Comparison, By Region
       4.2.5. Predictive Analytics Market Size and Forecast, 2012-2026
                4.2.5.1. Revenue (US$ Mn) Comparison, By Region
                4.2.5.2. Market Share Comparison, By Region
                4.2.5.3. Y-o-Y growth Comparison, By Region
Continue…..

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About Fact.MR

Fact.MR is a fast-growing market research firm that offers the most comprehensive suite of syndicated and customized market research reports. We believe transformative intelligence can educate and inspire businesses to make smarter decisions. We know the limitations of the one-size-fits-all approach; that’s why we publish multi-industry global, regional, and country-specific research reports.

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