Global Hyperscale Data Center Market Size By Component (Solution, Service), By End-User (Cloud Providers, Colocation Providers, Enterprises), By Industry ( IT And Telecom, Research And Academics, Government And Defense, Retail), By Geographic Scope And Forecast

Hyperscale Data Center Market Size And Forecast

Hyperscale Data Center Market size was valued at USD 95.09 Billion in 2022 and is projected to reach USD 500.52 Billion by 2030, growing at a CAGR of 23.25% from 2022 to 2030.

The Growing need for enhanced application performance, growing investment in data center technology, and growing popularity of cloud-based infrastructure are some reasons fuelling the demand in the Hyperscale Data Center Market. The Global Hyperscale Data Center Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.

Global Hyperscale Data Center Market Definition

Hyperscale Data Centers were created to provide the goal of providing a single, highly scalable computer architecture. The architecture is made up of several small servers called nodes that offer storage, networking, and processing. Starting small and adding more nodes to the existing design as the demand grows is a popular strategy to build a hyperscale data center. This helps keep the initial costs low. This architecture can also be combined with an organization’s existing architecture. A Hyperscale (or Enterprise Hyperscale) data center is a facility that is owned and operated by the organization that it serves. AWS, Microsoft, Google, and Apple are among the companies involved.

Individuals and organizations can rely on them for reliable, scalable apps and a storage variety of services. Cloud and massive data storage necessitate hyper-scale computing. Has at least 10,000 square feet of space and 500 cabinets or more. Typically, an ultra-high-speed, high-fiber-count network connects a minimum of 5,000 servers. External businesses may be used for initial fit-outs before they are maintained internally. The High Fiber Count used across the network is the most visible distinction between Enterprise and Hyperscale networks According to The National Renewable Energy Laboratory (NREL), High-performance computing—This design is a computing-intensive, high-speed application that processes complicated algorithms utilized in science, engineering, and business.

High-performance computing data centers feature denser loads per rack, ranging from 70 to 100 kW, yet they only account for a small portion of total data center power consumption. Single-customer hyperscale design can be scaled up or down depending on the demands of a single organization hyperscale (cloud services, big data, distributed or grid computing). Single-customer hyper-scale data centers are modularly constructed to allow for smooth expansion of computing capacity. The power output ranges from 100 kW to 100 MW. Datacenter redundancy occurs as part of a bigger strategy (data mirroring,)

Global Hyperscale Data Center Market Overview

The Global Hyperscale Data Center Market Increase due to the architecture is made up of small nodes which are small, standalone servers that provide computing, networking, and storage services. These nodes are combined and operated as a single entity. The primary principle behind hyperscale architecture is to start with a minimal infrastructure to keep initial costs low. order to expand the initial infrastructure, new nodes can be added to the cluster as demand grows. Big firms like Amazon and Google have largely adopted hyper-scale data centers, making them one of the fastest-growing technologies in the IT infrastructure sector. Cos of the increasing computing and storage requirements for high-end applications, data centers have recently evolved into an extraordinarily powerful design. The increasing use of Web 2.0, social media, online game hosting, , cloud computing, , and Hadoop has resulted in a rise in data center complexities.

For example, higher infrastructural requirements for better application performance, energy efficiency, and server density are required by increasing the use of Web 2.0, social media, online game hosting, e-commerce, cloud computing, big data, and Hadoop Previously, data centers were built on specialized infrastructures for each job, such as , blade systems, and dedicated computing, but this technology is no longer capable of supporting today’s software. Businesses and their relationships with their data and IT operations are at the heart of the hyper-scale computing boom. Companies and businesses do not want to invest millions of dollars in the construction and operation of a . Cloud computing, software platforms, social media, and content delivery are some of the primary drivers impacting hyperscale data center growth.

With over 2.28 billion users globally, social media has evolved into a strong tool for generating large amounts of data in the form of blogs, tweets, updates, photos, and videos. Global IP data traffic surged from 96,054 petabytes per month in 2016 to 150,910 petabytes per month in 2018, according to Cisco Systems, and is expected to reach 278,108 petabytes per month by 2021. Power outages and the generation of massive amounts of heat, on the other hand, are some of the industry’s stumbling blocks. Delivering necessary architecture swiftly to fulfill market demands is a big component of the cloud and data center balance. Working with architecture that facilitates convergence, which is designed and built as an interoperable end-to-end solution, allows you to have faster implementation by streamlining the process of designing, specifying, installing, and managing the increasingly complex physical infrastructure required to optimize the data center.

Scaling is used in hyperscale data centers to receive, process, and route traffic. Horizontal scaling to expand the number of machines and vertical scaling to improve the power of machines already in use are examples of this. A hyperscale data center enables enterprises to control all areas of production through constant automation. This involves managing high-traffic websites and complex workloads such as cryptography, genomic processing, and three-dimensional graphics that require specialized processing. Organizations face challenges storing their ever-increasing data quantities in typical data centers, which are addressed by hyperscale data centers. They assist enterprises in lowering expenses while guaranteeing excellent user experiences, independent of data usage levels.

Global Hyperscale Data Center Market Segmentation Analysis

The Global Hyperscale Data Center Market is Segmented on the basis of Component, End-User, Industry, And Geography.

Hyperscale Data Center Market, By Component

• Solution
• Service

Based on Component, The market is segmented into Solution and Service. Due to increased demand for solutions from IT firms to carry out corporate operations successfully, the solution category accounted for the largest segment in 2020. Different pieces are required for an order Hyperscale Data Centers to work properly. Companies all over the world are attempting to convert their operations to software-defined networking in order to improve performance, which is propelling the segment forward. To balance workloads among servers, a hyperscale data center is used An overheating server can quickly affect other servers and network equipment. High-intensity workloads will be reallocated or redistributed to processors that can manage the functions and workload in a hyperscale data center.

Hyperscale Data Center Market, By End-User

• Cloud Provider
• Colocation Providers
• Enterprises

Based on End-User, The market is segmented into Cloud providers, Colocation providers, and Enterprises. A vendor that provides cloud-based architecture or storage services is known as a cloud service provider. They serve up all of the cloud environment’s maintenance, leaving the customer to focus on the data and applications they’re storing there. Companies that supply cloud-based or SaaS applications are frequently referred to as cloud service providers, Enterprises now hold the largest market share and are expected to grow significantly during the projected period.

This is because to the fact that businesses receive massive amounts of data on daily basis, and if they do not manage and retain this data properly, they will lose their reputation and suffer extinction. Large enterprises’ workloads have recently been distributed among larger and more efficient architectures, and hyper-scale data centers have become commonplace for companies such as Amazon, Facebook, Apple, and others, with these companies investing at least USD 1 billion USD in a single architecture facility.

Hyperscale Data Center Market, By Industry

• Banking, Financial Services, and Insurance (BFSI)
• IT and Telecom
• Research and Academics
• Government and Defence
• Retail
• Manufacturing
• Others

Based on Industry, The market is segmented into Banking, Financial Services, and Insurance (BFSI), IT and Telecom, Research and Academics, Government and Defense, Retail, Manufacturing, and Others. IT and Telecom industry is dominating the Hyperscale Data Center Market with the highest market share. IT and Telecom industry require a very advanced Hyperscale Data Center in order to process their streams of data and store them efficiently because the data stored by this industry is major and this industry requires enhanced computing processes to complete tasks in milliseconds of time in order to satisfy the need of the organization.

Hyperscale Data Center Market, By Geography

• North America
• Europe
• Asia Pacific
• Rest of the world

On the basis of Geography, The Global Hyperscale Data Center Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. Asia Pacific region is expected to witness maximum growth. The largest share of the market will be dominated by North America due to. The architecture is made up of small nodes which are small, standalone servers that provide computing, networking, and storage services. These nodes are combined and operated as a single entity. The primary principle behind hyperscale architecture is to start with a minimal infrastructure to keep initial costs low. order to expand the initial infrastructure, new nodes can be added to the cluster as demand grows. Big firms like Amazon and Google have largely adopted hyper-scale data centers, making them one of the fastest-growing technologies in the IT infrastructure sector.

Key Players

The “Global Hyperscale Data Center Market” study report will provide valuable insight with an emphasis on the global market including some of the major players such as NVIDIA Corporation, Cisco Systems, Inc., Ericsson, Huawei Technologies Co. Ltd., IBM, HP, Dell Inc., Orange Business Services, Cavium, and Lenovo Group Ltd. Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and global market ranking analysis of the above-mentioned players.

Key Developments

• IBM a Europe-based cloud provider OVHcloud and a data management firm Atempo Group publicized that they are working on a storage-as-a-service solution for data centers across Europe in January 2021, and are planning to roll the service out worldwide in upcoming months.
• Data center start-up Novva was launched with USD 1 billion as an investment in July 2020, this investment was backed by a real estate investment firm known as CIM Group, the construction has already started for a massive data center campus in Utah.

Report Scope

Top Trending Reports

Research Methodology of Market Research