Hyperscale Data Center Market Trends, Growth, Demand and Forecast

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Date Submitted: 08/25/2016 04:03 AM

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Hyperscale Data Center Market Size is estimated to grow from $71.2 billion by 2022, with a CAGR of 20.7% from 2016 to 2022.

Hyperscale data center is designed to offer a single largely scalable compute architecture. The architecture is developed from small, individual servers called nodes that offer computing, networking, and storage solutions. These nodes are grouped together and managed as a single entity. The main idea behind developing hyperscale architecture is to start with small infrastructure in order to keep the initial investments as low as possible. With an increasing demand, new nodes can be added to the cluster in order to expand the initial infrastructure. Hyperscale data centers have been largely adopted by big companies such as Amazon and Google, thereby emerging as one of the fastest-growing technologies in the IT infrastructure world.

Browse full report with TOC@ https://marketreportscenter.com/reports/358578/world-hyperscale-data-center-market-opportunities-and-forecasts-2015-2022

Hyperscale data center offers a wide array of applications in various industries, namely IT & telecom, BFSI, government utilities, healthcare, energy, manufacturing, and others. The market has been analysed across different geographic regions including North America, Europe, Asia-Pacific and LAMEA.

The factors driving this market are energy efficiency, application of hyperscale data center across various industry domains, open compute project and reduced total cost of ownership. On the contrary, power failure and generation of enormous heat are some of the restraints for the world hyperscale data center market.

Key companies profiled in this report include Intel Corporation, Nlyte Software, Sandisk Corporation, Avago Technologies, Cisco Systems, INC., Hewlett-Packard, Ericsson, Cavium, Inc., International Business Machines Corporation and Mellanox Technologies, Inc.

SEGMENT OVERVIEW

The world hyperscale market has been segmented based on user type,...