Pune, Maharastra -- (SBWIRE) -- 09/10/2015 -- According to the Global Big Data Spending in Healthcare Industry 2015-2019 report, healthcare reforms have generated large volumes of medical and commercial data. The real-time analysis of this data offers powerful insights about patient health and helps monitor patients effectively. The growing volumes of data, the processing requirements of large volumes of data, and the need to derive actionable insights are major issues for many healthcare organizations. Big data provides the necessary technologies to process large volumes of data and provide insights to all stakeholders, resulting in better patient care and cost reductions. It helps optimize patient outcomes while reducing costs by providing faster treatment, improving physician performance, avoiding re-admissions, and offering personalized medicine. Patients also play a significant role in reducing healthcare costs by participating in healthcare decisions. All these factors fuel big data spending by healthcare organizations.
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Big data in the healthcare industry refers to a large and complex electronic health data that is difficult to manage with conventional software or hardware or data management tools. Big data in the healthcare industry is tremendous because of its volume, variety, and velocity required to manage it. This includes a wide variety of data ranging from patient data in electronic medical records, clinical data, data from sensors monitoring vital signs, emergency care data to news feeds. Also, it includes social media data from Facebook, Twitter, and blogs, and data from clinical decision support systems such as medical imaging, pharmacy, lab, prescriptions, and insurance. Big data in the healthcare industry is gaining traction to improve the quality of healthcare services. It also supports a wide range of healthcare functions such as disease surveillance, clinical decision support, and population health management. Also, big data analytics in the healthcare industry helps generate powerful insights about patient health and behaviour and hence improve the quality of healthcare at lower costs.
The analysts forecast global big data spending in the healthcare industry to grow at a CAGR of 42% over the period 2014-2019.
Covered in this report
This report covers the current scenario and the growth prospects of the global big data spending in the healthcare industry for the period of 2015-2019. To calculate the market size, the report considers revenue generated as a result of big data spending in the healthcare industry.
The market is segmented into the following based on category:
-Hardware
-Software
-Services
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The report, Global Big Data Spending in Healthcare Industry 2015-2019, has been prepared based on an in-depth market analysis with inputs from industry experts. This report covers the Americas, APAC, and EMEA; it also covers the landscape of the global big data spending in the healthcare industry and its growth prospects in the coming years. The report includes a discussion of the key vendors operating in this market.
Key regions
-Americas
-APAC
-EMEA
Key vendors
-Dell
-HP
-IBM
-SAP
Other prominent vendors: Accenture, Amazon Web Services, CareFusion, Cerner, Cognizant Technology, Epic Systems, Explorys, EMC, GNS Healthcare, Google, Humedica, InterSystems, McKesson, Microsoft, NTT Data, Oracle, Palantir, Philips Healthcare, PwC, SAS Institute, Siemens, Sogeti Healthcare, Teradata and UnitedHealth Group.
Key market driver
-Growing demand for better patient care and cost reductions
-For a full, detailed list, view our report
Key market challenge
-Increased complexity and cost of big data adoption
-For a full, detailed list, view our report
Key market trend
-Growing application of mobile technology
-For a full, detailed list, view our report
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