Global Big Data Spending in Healthcare Industry - Market Research 2015-2019
- Published: Sep 2015
- Pages: 65
- SKU: IRTNTR7023
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Overview of big data healthcare market
Healthcare data ranges from patient data medical records, clinical data, data from sensors monitoring vital signs; news feeds to social media data. This high volume of complex electronic health data is difficult to manage with conventional data management tools. Big data in healthcare can be used to predict epidemics, support clinical decisions, improve the quality of life and avoid preventable deaths. Consequently, the healthcare big data market is predicted to grow at a tremendous rate of around 42% during the forecast period.
The synergy between big data and cloud computing will help the healthcare sector reap benefits from government incentives for the use of EHRs. As most of the big data would be stored in the cloud, healthcare organizations would also be able to access it using mobile devices reducing overhead costs.
Segmentation of the big data healthcare market by category
The services segment is predicted to account for around 52% of the market share by the end of 2019, followed by the software and hardware segments. The services segment comprises of both professional and cloud-based big data services such as consulting, development & integration, and process management. Cloud-based big data services such as IaaS, PaaS, Maas, CaaS, SaaS, and XaaS are being introduced in most of the healthcare organizations that would help in cost-effective, anywhere-anytime access to information.
Segmentation of the global big data spending in the healthcare industry by geography
The Americas dominate the big data healthcare market, with a share of nearly 63%. The high growth in this region is a result of the big data initiatives launched by the federal government such as the Affordable Care Act and HITECH Act to promote Big Data and reduce healthcare expenses.
According to the WHO, US leads the market in this region fueled by mounting annual health care expenses which are more than 17% of its GDP.
The APAC region has the lowest market share but is predicted to see growth in the market during the forecast period. Countries like Australia, China, India, Singapore, and South Korea are expected to lead in healthcare big data analytics spending.
Vendor landscape of the global big data healthcare market
The global healthcare big data market is dominated by big players such as HP, IBM, and SAP. Competition in this market is expected to increase due to partnerships and mergers during the forecast period. High deployment cost and rapid innovations in Big Data analytics are the major barriers for new vendors in the market.
The leading vendors in the market are -
Other prominent vendors in the market include Accenture, Amazon Web Services, CareFusion, Cerner, Cognizant, 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.
Other sections of the report include an analysis of the following
- What are the key factors driving the healthcare big data market?
- What are the key market trends impacting the growth of healthcare big data?
- What are the various opportunities and threats faced by the vendors in the global big data healthcare industry?
- What is the growth forecast for the key segments of the big data spending in the healthcare industry?
- What are the trending factors influencing the market shares of the Americas, EMEA, and APAC?
- What are the key outcomes of the five forces analysis of the global big data healthcare industry?
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Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.
- Market size and forecast
- Market segmentation
- Geographical insights
- Competitive landscape
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