Showing posts with label Blade Server Market Research Report. Show all posts
Showing posts with label Blade Server Market Research Report. Show all posts

Friday, June 7, 2019

To Drive Blade Server Market in India over the Forecast Period: Ken Research


A blade server is a server frame housing many electronic circuits or modular, which improve numerous issues brought by data centers, including manageability and server density. Each of the blades can be managed & operated by administrator, which can be allocating to various applications or the end users. It includes its own processor, storage, memory, and operating system. The each of the blade of server in a frame acts as an independent server & can be dedicated to a distinct application. These ease in creating well-organized data center facility & also substitute the traditional rack or tower servers. Blade servers provides incorporated platform in an enterprise with dwelling multiple units in a single framework. They operate as a distinctive stripped-down adaptive server among a modular design that saves energy & space. Moreover, blade server installation also decreases various indirect operating costs for instance cabling cost, facilities charges, and others. Additionally, some of the major tasks achieved by blade server includes file sharing, virtual server platforms hosting, database & application hosting and audio & video content.

According to study, “Blade Server Market in India, By Products (x86 Servers, Non x86 Servers), By End User (SME, Enterprises), By Data Center Type (TIER 1, TIER 2, TIER 3, TIER 4), By Services - Trends & Forecast - 2015-2020” the major companies operating in the blade server market is India are Dell, Hewlett-Packard Development Company, L.P, CISCO Systems Inc., International Business Machine Corp (IBM), Oracle Corporation, Fujitsu Limited. Blade Servers provided by these companies are supporting myriad processor technologies & operating systems to facilitate clients to run various workloads within a single structural design. The blade servers offers vendors to reduce complexity, improve flexibility and improve system management which brings down cost significantly.

Based on product types, blade server market is segmented into x96 servers and non x86 servers. Based on data center type, market is segmented into tier 1, tier 2, tier 3 and tier 4. Based on services types, market is segmented into consulting services, installation & support service and professional services. Installation & support services are projected to direct the market over the estimate time frame on account of wide use of these services as a substitute of rack servers.

The blade server market is primarily driven by increase in load on data centers, followed by increase in adoption of virtualized applications, effective utilization of data center space, low power consumption over rack servers and cost reduction in expenses like cooling cost & cabling cost etc. In addition, some of the major restraint complexity involved in installing, high initial investment, and limited expansion & storage capacity.

The booming data centers in Hyderabad, Bangalore, and Chennai demand has led to development of blade server market. The rise of private endeavors in the cities have resulted in augmented usage of servers. Since the primary investment outlay is elevated, smaller players restrict their custom of the servers.

North American region presently holds the major market share in the blade server market, caused by presence of data driven enterprises. In Europe, market is substantially growing due to expansion of data centers & need for the density optimization. Moreover, Asia-Pacific region is projected to witness a high growth rate over the forecast period on an account of high economic growth and increase in demand for the data centers. Moreover, the Middle East region is on the rise of increased IT spending & virtualization applications. In near future, it is expected that the Indian blade server market to grow rapidly owing to high adoption of technological innovations and rise in demand of data centers.

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