Global and Japan Healthcare Predictive Analytics Market Size, Status and Forecast 2020-2026

SKU ID : QYR-16351813 | Publishing Date : 01-Sep-2020 | No. of pages : 95

Healthcare predictive analytics encompasses a variety of statistical techniques from data mining, predictive modelling, and machine learning, that analyze current and historical facts to make predictions about future or unknown health care events
Pressure to contain soaring health-care costs, introduction of advanced analytics, and increasing demand for personalized medication is expected to propel the lucrative growth of the healthcare predictive analytics market.

Market Analysis and Insights: Global Healthcare Predictive Analytics Market
The global Healthcare Predictive Analytics market size is projected to reach US$ 10740 million by 2026, from US$ 3039.2 million in 2020, at a CAGR of 23.4% during 2021-2026.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Healthcare Predictive Analytics market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Healthcare Predictive Analytics market in terms of revenue.
On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Healthcare Predictive Analytics market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Healthcare Predictive Analytics market.

Global Healthcare Predictive Analytics Scope and Market Size
Healthcare Predictive Analytics market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global Healthcare Predictive Analytics market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2015-2026.

Market segment by Type, the product can be split into


Diet Habits
Physiological Parameters
Vital Signs

Market segment by Application, split into


Healthcare Payers
Healthcare Providers
Others

Based on regional and country-level analysis, the Healthcare Predictive Analytics market has been segmented as follows:
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia-Pacific
Latin America
Mexico
Brazil
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of Middle East & Africa

In the competitive analysis section of the report, leading as well as prominent players of the global Healthcare Predictive Analytics market are broadly studied on the basis of key factors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on price and revenue (global level) by player for the period 2015-2020.

The key players covered in this study


Allscripts
Cerner Corporation
Elsevier
IBM
McKesson Corporation
MEDai
MedeAnalytics
Optum Health
Oracle
SAS
Verisk Analytics

Frequently Asked Questions

This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
  • By product type
  • By End User/Applications
  • By Technology
  • By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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