Global Big Data Analytics In Healthcare Market is growing at a CAGR of +19% from 2017-2021. This is attributed to the surge in digitalization of medical procedures and demand for analytic solutions to derive patient-centric insights on treatment procedures across North America, Europe, and Asia-Pacific.
The global big data analytics in healthcare market is segmented based on solution, deployment, end user, and geography. Based on solution, it is categorized into software and service. Considering deployment, it is bifurcated into on-premise and cloud deployment. Based on end user, it is divided into hospitals & clinics, finance & insurance agencies, and research organizations. Geographically, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
Due to significant growth in big data technologies such as tools for data orchestration, data mining and analyzing volumes of structured and unstructured data, adoption of big data in various industries has increased significantly. This has led to rapid increase in demand for big data analytics integration in healthcare services, on the back of which, the global big data analytics in healthcare market is gaining huge traction.
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Key Players in this Report:
The global big data analytics in healthcare market is expected to witness a high growth rate during the forecast period, owing to a rise in ICT expenditure by governments in several developed and the developing regions including North America, Europe, and Asia-Pacific. In addition, surge in digitalization of medical procedures and demand for analytic solutions to derive patient-centric insights on treatment procedures are anticipated to fuel the big data analytics in healthcare market growth. However, security concerns over patient information among end users and slow adoption of healthcare analytic solutions in the underdeveloped regions, including Latin America and Africa, obstruct the big data analytics in healthcare market growth.
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KEY BENEFITS FOR STAKEHOLDERS:
– The report provides an in-depth market analysis of big data analytics in healthcare globally, outlining the current trends, key driving factors, and potential areas for product investments.
– Key players are analyzed with respect to their primary offerings, recent investments, and future developmental strategies.
– A holistic approach of segmentation is carried out through an in-depth market study and discussions with several industry experts globally.
– The report provides highlights of the top investment pockets, key impacting factors, and winning strategies for the global big data analytics in the healthcare market.
– Market share of the key players is derived from a thorough analysis of respective players’ segment revenues and insights from industry leaders through guided discussions.
– The report further highlights the development trends in the global Big Data Analytics In Healthcare market. Factors that are driving the market growth and fueling its segments are also analyzed in the report. The report also highlights on its applications, types, deployments, components, developments of this market.
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The market has been also categorized in terms of application, types, deployments, services, and techniques. Moreover, the fundamental factors impacting the development of the market have been presented precisely. Furthermore, how the soaring number of supportive government initiatives has raised the adoption of his industry globally is also mentioned.
Table of Contents:
Global Big Data Analytics In Healthcare Market Research Report 2017-2021
Chapter 1 Big Data Analytics In Healthcare Market Overview
Chapter 2 Global Economic Impact
Chapter 3 Competition by Manufacturers
Chapter 4 Production, Revenue (Value) by Region (2017-2021)
Chapter 5 Supply (Production), Consumption, Export, Import by Regions (2017-2021)
Chapter 6 Production, Revenue (Value), Price Trend by Type
Chapter 7 Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Forecast (2017-2021)
Chapter 13 Appendix
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