Healthcare Publications Big Data in Healthcare Market

The Analysis presents the study of Global Big Data in Healthcare facilitating the regional and
country wise analysis covering the strategic analysis of each market player and the market
share they hold
The Global Big Data in the Healthcare Market is expected to reach US$ 17,278.13 million by
2022, and the market is projected to grow at a CAGR of ~ 20.69 % during the forecast
period 2015-2022.
Key Players in the Global Big Data in Healthcare Market:
Cerner Corporation, Cognizant, Dell, GE Healthcare, Mckesson, Optum, Philips, Siemens,
Xerox and others.
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Market scenario:
Big data refers to the enormous amount of structured as well as unstructured data, which
helps organizations to improve their decision making processes. The term big data might
seem to refer huge volume of data, but that is not necessarily the case. It may also refer to
technology analytics services such as descriptive, predictive or prescriptive that any
organization utilize it to handle the data sets. Unstructured data refers to the data that does
not have a standardized form. Around 80% of the data in the business organizations is
unstructured and around 60% of the patient care information is in the unstructured format.
Big data provides insights to improve learning outcomes of research by comparing different
data sets and thus helps researchers to understand pattern and make predictions. Other
advantages are the competitive advantage by combining data from social media and
existing customer records to target customers for pricing and promotional strategies and to
prepare themselves for the future demand which is possible by analyzing customer data in
real time which introduces new capabilities such as location based services and new
marketing campaigns to increase revenue, analytics for a deeper level of customer
relationships, pricing accuracy, and for efficient loss prevention by reducing the fraudulent
claims, etc. Further pharmaceutical and biotechnological companies are harnessing the
power of big data for product cross selling, financial risk management, regulatory
compliance management, and others.
Big data analytics in pharmaceutical manufacturing will also help to better the forecast
production demand, understand the plant’s performance, and provide faster support
services to the customers. Manufacturers are able to view product quality and observe a
machine’s performance in real time. In healthcare, big data has added benefits such as
patient safety. Data from the U.S. healthcare systems alone has reached 150 Exabyte in
2011. Big data in healthcare is overwhelming not only because of its volume but also
because of its diversity (clinical and financial). With understanding about the trends and the
patterns within the data, healthcare systems can improve quality care of patients and curb
healthcare costs.
Segments:
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 and access points. The software type is sub-segmented into electronic
health record software (EHR), 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, and reporting & compliance. The