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Covid-19 Impact on Big Data Analytics in Healthcare Market, Global Research Reports 2020-2021
SKU ID : QYR-15646723 | Publishing Date : 11-May-2020 | No. of pages : 98
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Big data analytics in healthcare is a complete solution package offered by key analytic solution providers, such as IBM Corporation, Cognizant, Health Catalyst, Medeanalytics, Inc., McKesson Corporation, and others, to predict, manage, and maintain various analytical platforms in cloud and on-premise deployment. It also provides intuitive analysis on healthcare-related processes that start from pre-hospitalization to post medical cost calculation.
Technological advancements and extensive use of cloud deployment platform have contributed to the adoption of big data analytics in healthcare market in North America. Moreover, increase in the adoption of big data analytics for healthcare-related applications, such as cost-effective medication, insurance planning with respect to population health, and diagnostic approaches in Asia-Pacific, have encouraged vendors to invest in product development in big data analytics in healthcare market.
This report provides a complete quantitative data and qualitative analysis on the global market for Big Data Analytics in Healthcare. Market size is analysed by country, product type, application, and competitors. Expanded coverage includes additional end-user industry breakdowns and in-depth producer profiles.
Prior to COVID-19, the global market for Big Data Analytics in Healthcare was anticipated to grow from US$ XX million in 2020 to US$ XX million by 2026; it is expected to grow at a CAGR of xx% during 2021–2026, whereas post-COVID-19 scenario, the market for Big Data Analytics in Healthcare is projected to grow from US$ XX million in 2020 (a change by ~XX% compared to market estimated for 2020 before the outbreak of COVID-19) to US$ XX billion by 2026; it is expected to grow at a CAGR of XX% during 2021–2026.
This report covers market size and forecasts of Big Data Analytics in Healthcare, including the following market information:
Global Big Data Analytics in Healthcare Market Size, 2019-2021, and 2020 (quarterly data), (US$ Million)
Global Big Data Analytics in Healthcare Market Size by Type and by Application, 2019-2021, and 2020 (quarterly data), (US$ Million)
Global Big Data Analytics in Healthcare Market Size by Region (and Key Countries), 2019-2021, and 2020 (quarterly data), (US$ Million)
Global Big Data Analytics in Healthcare Market Size by Company, 2019- 2020 (quarterly data), (US$ Million)
Key market players
Major competitors identified in this market include Cisco, Cognizant, Health Catalyst, IBM, McKesson, MEDEANALYTICS, Microsoft, Oracle, SAS Institute, Vizient, etc.
Based on the Region:
Asia-Pacific (China, Japan, South Korea, India and ASEAN)
North America (US and Canada)
Europe (Germany, France, UK and Italy)
Rest of World (Latin America, Middle East & Africa)
Based on the Type:
Software
Service
Based on the Application:
Hospitals & Clinics
Finance & Insurance Agencies
Research Organization
Technological advancements and extensive use of cloud deployment platform have contributed to the adoption of big data analytics in healthcare market in North America. Moreover, increase in the adoption of big data analytics for healthcare-related applications, such as cost-effective medication, insurance planning with respect to population health, and diagnostic approaches in Asia-Pacific, have encouraged vendors to invest in product development in big data analytics in healthcare market.
This report provides a complete quantitative data and qualitative analysis on the global market for Big Data Analytics in Healthcare. Market size is analysed by country, product type, application, and competitors. Expanded coverage includes additional end-user industry breakdowns and in-depth producer profiles.
Prior to COVID-19, the global market for Big Data Analytics in Healthcare was anticipated to grow from US$ XX million in 2020 to US$ XX million by 2026; it is expected to grow at a CAGR of xx% during 2021–2026, whereas post-COVID-19 scenario, the market for Big Data Analytics in Healthcare is projected to grow from US$ XX million in 2020 (a change by ~XX% compared to market estimated for 2020 before the outbreak of COVID-19) to US$ XX billion by 2026; it is expected to grow at a CAGR of XX% during 2021–2026.
This report covers market size and forecasts of Big Data Analytics in Healthcare, including the following market information:
Global Big Data Analytics in Healthcare Market Size, 2019-2021, and 2020 (quarterly data), (US$ Million)
Global Big Data Analytics in Healthcare Market Size by Type and by Application, 2019-2021, and 2020 (quarterly data), (US$ Million)
Global Big Data Analytics in Healthcare Market Size by Region (and Key Countries), 2019-2021, and 2020 (quarterly data), (US$ Million)
Global Big Data Analytics in Healthcare Market Size by Company, 2019- 2020 (quarterly data), (US$ Million)
Key market players
Major competitors identified in this market include Cisco, Cognizant, Health Catalyst, IBM, McKesson, MEDEANALYTICS, Microsoft, Oracle, SAS Institute, Vizient, etc.
Based on the Region:
Asia-Pacific (China, Japan, South Korea, India and ASEAN)
North America (US and Canada)
Europe (Germany, France, UK and Italy)
Rest of World (Latin America, Middle East & Africa)
Based on the Type:
Software
Service
Based on the Application:
Hospitals & Clinics
Finance & Insurance Agencies
Research Organization
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.
