Global big data analytics in healthcare market expected to generate revenue of around USD 68.03 billion by 2024, growing at a CAGR of around 19.34% between 2018 and 2024. Big data with respect to healthcare will be useful for health data of a particular population/particular person and possibly help to cure diseases, avoid epidemics, cut down costs, etc.
Big Data Analytics in Healthcare Market
The report covers forecast and analysis for the big data analytics in the healthcare market on a global and regional level. The study provides historical data from 2015 to 2017 along with a forecast from 2018 to 2024 based on revenue (USD Billion). The study includes drivers and restraints for the big data analytics in healthcare market along with the impact they have on the demand over the forecast period. Additionally, the report includes the study of opportunities available in the big data analytics in the healthcare market on a global as well as regional level.
In order to give the users of this report a comprehensive view on the big data analytics in the healthcare market, we have included competitive landscape and analysis of Porter’s Five Forces model for the market. The study encompasses a market attractiveness analysis, wherein product type, application, and end-user segments are benchmarked based on their market size, growth rate, and general attractiveness.
The report provides company market share analysis in order to give a broader overview of the key players in the big data analytics in the healthcare market. In addition, the report also covers key strategic developments of the market including acquisitions & mergers, new product launches, agreements, partnerships, collaborations & joint ventures, research & development, and regional expansion of major participants involved in the big data analytics in healthcare market on the global and regional basis.
Based on the component, the big data analytics in the healthcare market is segmented as software, hardware, and services. Software segment further sub-segmented into electronic health record software, practice management, and workforce management. Hardware segment further sub-segmented into data storage, routers, firewalls, virtual private networks, e-mail servers, and others. Based on deployment type, the big data analytics in the healthcare market is segmented into on-demand and on-premise. Based on analytics type, the big data analytics in the Healthcare market is segmented into descriptive, predictive, and prescriptive. Based on application, the big data analytics in the healthcare market is segmented into financial analytics, clinical data analytics, and others.
The regional segmentation includes the current and forecast demand for North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa with it further divided into major countries including the U.S. Canada, Germany, France, the UK, China, Japan, India, and Brazil. This segmentation includes the demand for big data analytics in healthcare tools based on individual segment and applications in all regions and countries.
The report also includes detailed profiles of end players such as Cerner Corporation, Dell, McKesson Corporation, Hewlett-Packard Co., GE Healthcare, Mckesson, Koninklijke Philips N.V., Epic System Corporation, Optum, Opera Solutions, Philips, Xerox, Teradata Corporation, Siemens Healthcare Gmbh, Mu Sigma, Splunk Inc., Cloudera, EMC, IBM, Cognizant Technology Solutions, Calpont Corporation, and Oracle Corporation among others.
Global Big Data Analytics in Healthcare Market: by Component
Global Big Data Analytics in Healthcare Market: by Deployment Type
Global Big Data Analytics in Healthcare Market: by Analytics Type
Global Big Data Analytics in Healthcare Market: by Application
Global Big Data Analytics in Healthcare Market: by Region