Key Insights on Big Data Analytics in Healthcare Market for Forecast Period 2017 - 2026

A new report collated by Fact.MR projects the global big data analytics in healthcare market to exhibit a high double-digit CAGR through the forecast period 2017 to 2026. Over US$ 45,000 Mn revenues will be reaped from worldwide sales of big data analytics in the healthcare sector by 2026-end. 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 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.

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

- Asia-Pacific excluding Japan (APEJ) is anticipated to remain the fast-expanding as well as the most remunerative market for big data analytics in healthcare. North America and Europe will also remain lucrative regions for expansion of the market, with revenues projected to increase at an approximately equal CAGR through 2026. The markets in Latin America and Japan will reflect a relatively higher CAGR than those in North America and Europe, although accounting for relatively lower revenues during the forecast period.

- Healthcare provider is expected to remain the dominant spender in the global big data analytics in healthcare market. However, revenues from healthcare payer will increase at a significantly higher CAGR than those from healthcare provider during 2017 to 2026.

- CRM analytics is expected to remain preferred among tools for big data analytics in healthcare, followed by financial analytics and production reporting. Sales of visual analytics will exhibit the fastest expansion through 2026, based on tool type.

Access operational information is anticipated to remain the largest application of big data analytics in healthcare, in terms of revenues.

- Although on-premises deployment will remain sought-after in the market, sales of cloud-based deployment will register a relatively faster expansion through 2026.

- In this highly competitive market, healthcare settings are expected to be the highest gainers. In current market scenario, vendors are increasingly competing to outdo the others, and focusing more on offering innovative healthcare services. Key companies profiled by Fact.MR’s report include Denodo Technologies Inc., Alteryx, SAP SE, SAS Instiute, Infosys, Cisco Systems Inc., Zephyr Health, Cerner Corp, Oracle Corp, MEDai’s Health, McKesson, Microsoft Corp, and OptumHealth Care Solutions.

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.

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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
.......

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