Forecast On Ready To Use Big Data Analytics in Healthcare Market Global Industry Analysis and Trends till 2020

Fact.MR’s recently compiled report estimates the global market for big data analytics in healthcare to register an outstanding expansion during the forecast period (2017-2026). Revenues from global sales of big data analytics in healthcare sector are estimated to exceed US$ 45,000 Mn by 2026-end.

Drive toward electronic medical records, coupled with favorable government policies has further driven the adoption of big data analytics in healthcare sector. However, majority of medical professionals lack the skill set needed for leveraging information offered by the big data analytics, which continues to be a major restraint for growth of the market. Government and healthcare organizations are therefore focusing on proper training of professionals for making them capable of utilizing the data obtained in a meaningful manner for better drafting of healthcare policies and improving patient outcomes.

Request Sample Report @ https://www.factmr.com/connectus/sample?flag=S&rep_id=369 

Big data analytics (BDA) is a combination of data management tools, techniques, and application for effectively analysing big data sets, in order to derive information on business processes and customer interactions. Big data analytics can process both structure as well as unstructured data obtained from various sources.

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.

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.

Speak To Research Analyst For Detailed Insights @ https://www.factmr.com/connectus/sample?flag=AE&rep_id=369 

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

Table of Contents Covered in the report are:

1. Global Economic Outlook

2. Global Big Data & Analytics in Healthcare Market – Executive Summary

You can Buy This Report from Here @ https://www.factmr.com/checkout/369/S  

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
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
4.2.6. Visual Analytics Market Size and Forecast, 2012-2026
4.2.6.1. Revenue (US$ Mn) Comparison, By Region
4.2.6.2. Market Share Comparison, By Region
4.2.6.3. Y-o-Y growth Comparison, By Region
4.2.7. Risk Management Analytics Market Size and Forecast, 2012-2026
4.2.7.1. Revenue (US$ Mn) Comparison, By Region
4.2.7.2. Market Share Comparison, By Region
4.2.7.3. Y-o-Y growth Comparison, By Region
4.2.8. Supply chain Analytics Market Size and Forecast, 2012-2026
4.2.8.1. Revenue (US$ Mn) Comparison, By Region
4.2.8.2. Market Share Comparison, By Region
4.2.8.3. Y-o-Y growth Comparison, By Region
4.2.9. Test Analytics Market Size and Forecast, 2012-2026
4.2.9.1. Revenue (US$ Mn) Comparison, By Region
4.2.9.2. Market Share Comparison, By Region
4.2.9.3. Y-o-Y growth Comparison, By Region
4.3. Global Big Data & Analytics in Healthcare Market Size and Forecast By Application Type, 2012-2026
4.3.1. Access Clinical Information  Market Size and Forecast, 2012-2026
4.3.1.1. Revenue (US$ Mn) Comparison, By Region
4.3.1.2. Market Share Comparison, By Region
4.3.1.3. Y-o-Y growth Comparison, By Region
4.3.2. Access Operational Information Market Size and Forecast, 2012-2026
4.3.2.1. Revenue (US$ Mn) Comparison, By Region
4.3.2.2. Market Share Comparison, By Region
4.3.2.3. Y-o-Y growth Comparison, By Region
4.3.3. Access Transactional Data Market Size and Forecast, 2012-2026
4.3.3.1. Revenue (US$ Mn) Comparison, By Region
4.3.3.2. Market Share Comparison, By Region
4.3.3.3. Y-o-Y growth Comparison, By Region
4.3.4. Other Applications Market Size and Forecast, 2012-2026
4.3.4.1. Revenue (US$ Mn) Comparison, By Region
4.3.4.2. Market Share Comparison, By Region
4.3.4.3. Y-o-Y growth Comparison, By Region

And Continue…

Share this post

Post Comment