June 5, 2019

Predictive Analytics in Healthcare Market Global Industry Insights and Future Prospects 2026

The Global Predictive Analytics in Healthcare Market was estimated to be valued at USD XX million in 2019 and is projected to reach USD XX million by 2026, at a CAGR of XX% during 2019 to 2026. The increase in efficiency in the healthcare sector, emergence of personalized and evidence-based medicine, and rise in demand to curtail healthcare expenditure, are factors augmenting the predictive analytics in healthcare market globally.


However, lack of robust infrastructure for effective functionality and limited skilled IT professionals in healthcare are some of the major factors impeding the growth of the market.


The key players profiled in the market include Allscripts Healthcare Solutions Inc., Cerner Corporation, IBM Corporation, Information Builders Inc., Mede Analytics, Inc. Optum Inc., Oracle Corporation, SAS Institute, Inc. Microsoft Corporation, and Verisk Analytics.


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Key Benefits of the Report:

  • Global, regional, country, application and end user market size and their forecast from 2015-2026
  • Identification and detailed analysis on key market dynamics, such as, drivers, restraints, opportunities, and challenges influencing growth of the market
  • Detailed analysis on industry outlook with market specific PESTLE, and supply chain to better understand the market and build expansion strategies
  • Identification of key market players and comprehensively analyze their market share and core competencies, detailed financial positions, key products, and unique selling points
  • Analysis on key players’ strategic initiatives and competitive developments, such as joint ventures, mergers, and new product launches in the market
  • Expert interviews and their insights on market shift, current and future outlook, and factors impacting vendors’ short term and long term strategies
  • Detailed insights on emerging regions, application and end user with qualitative and quantitative information and facts.


Target Audience:      

  • Predictive Analytics in Healthcare Service providers
  • Traders, Importers, and Exporters
  • Raw Material Suppliers and Distributors
  • Research and Consulting Firms
  • Government and Research Organizations
  • Associations and Industry Bodies.


Global Predictive Analytics in Healthcare Industry 2019 Market Research Report is spread across 121 pages and provides exclusive vital statistics, data, information, trends and competitive landscape details in this niche sector.


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Research Methodology

The market is derived through extensive use of secondary, primary, in-house research followed by expert validation and third party perspective, such as, analyst reports of investment banks. The secondary research is the primary base of our study wherein we conducted extensive data mining, referring to verified data sources, such as, white papers, government and regulatory published articles, technical journals, trade magazines, and paid data sources.


Forecasting, regional demand & supply factors, recent investments, market dynamics including technical growth scenario, consumer behavior, and end use trends and dynamics, and production capacity were taken into consideration. Different weightages have been assigned to these parameters and quantified their market impacts using the weighted average analysis to derive the market growth rate.


The market estimates and forecasts have been verified through exhaustive primary research with the Key Industry Participants (KIPs), which typically include:

  • Suppliers
  • Distributors
  • Raw Material Providers
  • Government Body & Associations
  • Research Institutes.


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Table Of Content

1. Introduction

2. Research Methodology

3. Executive Summary

4. Global Predictive Analytics in Healthcare Market Overview

5. Global Predictive Analytics in Healthcare Market, by Application

6. Global Predictive Analytics in Healthcare Market, by End User

7. Global Predictive Analytics in Healthcare Market, by Region

8. Competitive Landscape

9. Company Profiles

10. Key Insights.


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