The Big Data in Healthcare Market is growing profusely. The largest market share attributes to the rapidly accumulating structured and unstructured data in the burgeoning healthcare sector. Besides, rising uptake of technology analytics services, such as descriptive and predictive/ prescriptive in healthcare organizations to handle data sets, foster the market growth.
The global Big Data in Healthcare Market Trendsin the healthcare sector is at $8.49 billion in 2015 and is expected to grow at a CAGR 20.69 % due to several forces, for instance, government initiatives, pressure to curb healthcare costs, new technological advancement such as mHealth, Internet of Things (IOT), and wearables among others.
Pharmaceutical and biotechnological companies are harnessing big data capabilities for product cross-selling, financial risk management, regulatory compliance management, and other purposes. Therefore, the increasing adoption of big data analytics and numbers of pharmaceutical and biotechnological companies increases the market size. Moreover, raising awareness about advantages and diversity of clinical & financial analytics escalates the market growth.
Key players profiled in the report are Cerner Corporation, Cognizant, Dell, GE Healthcare, Mckesson, Optum, Philips, Siemens, Xerox and others.
Taste the market data and market information presented through more than 50 market data tables and figures spread over 80 pages of the project report. Avail the in-depth table of content (TOC) & market synopsis on Global Big data in healthcare market Research Report Forecast till 2022.
Market Drivers and Restraints:
Drivers
Increasing government initiatives.
Pressure to curb healthcare costs.
Advances in mHealth, Internet of Things (IoT), and wearables.
Restraints
Prohibitive prices of big data analytics.
Lack of expertise required to use these analytics.
Lack of awareness about the benefits of big data analytics.
Segmentation:
The global big data in healthcare market has been segmented on the basis of components and services. The components is segmented into hardware and software type. The hardware segment is further sub-segmented into routers firewalls, virtual private network (VPN), data storage (data centers/storage on premise, storage on cloud/storage on demand), email servers, and wireless & access points. The software type is sub-segmented into electronic health record (EHR) software, practice management software, revenue cycle management software, workforce management software, and others. The software deployment type is sub-segmented into software on premise and software on demand.
On the basis of analytic service type, the market is segmented into descriptive analytics, predictive analytics, and prescriptive analytics. On the basis of analytic service applications, the market is segmented into clinical data analytics, financial analytics, and operational analytics. The clinical data analytics is sub-segmented into quality care, population health management, clinical decision support, precision health, reporting, and compliance. The financial analytics is sub-segmented into claims processing, revenue cycle, management, and risk assessment. The operational analytics is sub-segmented into workforce analytics and supply chain analytics.
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