Northbrook, IL 60062 -- (SBWIRE) -- 08/11/2023 -- The global Hyperscale Computing Market size is expected to grow from USD 40.9 billion in 2023 to USD 109.2 billion by 2028 at a compound annual growth rate (CAGR) of 21.7% during the forecast period, according to research report by MarketsandMarkets™.

Hyperscale computing has emerged as a game-changer in the digital era, revolutionizing the way businesses scale their computing resources. With its ability to provide scalable, flexible, and cost-effective infrastructure, the hyperscale computing market is experiencing significant growth and transforming industries across the globe. In today's data-driven world, businesses generate vast amounts of data, and traditional IT infrastructures often struggle to handle the increasing workload.

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Moreover, hyperscale computing offers the ability to process and analyze vast volumes of data; organizations can unlock valuable insights, drive data-driven decision-making, and foster innovation. Industries such as retail and e-commerce, finance, healthcare, and manufacturing leverage hyperscale computing to optimize operations, enhance customer experiences, and gain a competitive edge. The scalability and performance offered by hyperscale computing open doors to advanced technologies such as artificial intelligence, machine learning, and big data analytics, driving transformative changes in various sectors.

By offering, the services segment is expected to capture the highest CAGR during the forecast period.

The Hyperscale computing market by offering, includes solutions and services. The hyperscale computing market covers various services, including consulting, integration and implementation, and training, support, and maintenance. Service providers in the hyperscale computing market offer consulting services to help organizations assess their requirements, define their infrastructure strategy, and develop a roadmap for hyperscale adoption. It assists in designing and architecting the infrastructure to ensure scalability, performance, and reliability. The implementation and setup of software and networking components are all included in integration and implementation services, assuring resource use and seamless integration. This comprises activities such as network configuration, virtualization, and workload movement. To reduce downtime and disruptions, service providers also provide support services such as technical help, problem-solving, and issue resolution. They help resolve potential network problems, hardware or software breakdowns, and other operational difficulties.

Based on application, the cloud computing segment is expected to account for the largest market share during the forecast period.

The hyperscale computing market, by application, is segmented into cloud computing, big data, IoT, and other applications. It is expected that during the forecast period, the cloud computing segment is estimated to account for the largest market size and share in the hyperscale computing market. Hyperscale computing allows cloud providers to scale their infrastructure rapidly and seamlessly. By utilizing hyperscale architectures, cloud providers can add and remove computing resources on-demand, matching their users' dynamic needs, and enabling cloud providers to provision resources flexibly and granularly. With hyperscale architectures, cloud providers can allocate compute, storage, and networking resources in a highly dynamic and efficient manner, ensuring optimal utilization and cost-effectiveness. Users can easily scale up or down their resource allocations based on their needs, paying only for their consumption. This scalability ensures that cloud services can handle fluctuating workloads efficiently, providing high performance and availability.

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North America is projected to hold the largest market share during the forecast period.

The hyperscale computing market by region has been segmented into North America, Europe, Asia Pacific, the Middle East and Africa, and Latin America. As per region, North America is estimated to account for the largest market share in the global hyperscale computing market in 2023, and this trend is expected to continue during the forecast period. The hyperscale computing market in North America has been studied for countries including the US and Canada. The adoption of the hyperscale computing solution is expected to be the highest in North America compared to other regions. The rising need for cloud services, big data analytics, artificial intelligence, and other data-intensive applications has led to tremendous growth in hyperscale computing in North America in recent years. The development and expansion of hyperscale infrastructure by the "Big Three" cloud providers, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), have further fuelled the market growth in the region. These businesses run sizable data centers all over the region to provide their consumers with cloud services.

Some of the significant hyperscale computing market vendors are AWS (US), Google (US), Microsoft Corporation (US), IBM Corporation (US), Oracle Corporation (US), HPE (US), Alibaba Cloud (China), Tencent Cloud (China), Salesforce (US), Huawei (China), Viavi Solutions (US), Broadcom (US), AFL Hyperscale (US), OVHcloud (France), Iron Mountain (US), DigitalOcean (US), Rackspace (US), NTT Communications (Japan), and Digital Reality (US).

Key Dynamic Factors For Hyperscale Computing Market:

The Hyperscale Computing Market was experiencing significant growth and evolution driven by several dynamic factors. Here are some of the key dynamic factors that were influencing the Hyperscale Computing Market:

Hyperscale computing solutions are in high demand due to the rising popularity of cloud computing services that make use of hyperscale systems. To achieve scalability, flexibility, and cost-efficiency, organisations from a variety of industries are switching to cloud-based infrastructure.

Data Explosion: The demand for hyperscale computing capabilities is fueled by the quick expansion of data created from a variety of sources, including IoT devices, social media, and online transactions. Hyperscale architectures are made to effectively process and store enormous amounts of data.

Businesses are experiencing a digital transition in order to be competitive and relevant. Modern workloads, services, and applications that support digital initiatives can be deployed and managed using hyperscale computing.

Artificial intelligence (AI) and machine learning (ML) applications are in high demand, which is why strong computing resources are required. The computational demands of running and training AI/ML models are well-suited to hyperscale infrastructure.

E-commerce and online services are in great demand due to the development of e-commerce, streaming services, social networking platforms, and online gaming. The infrastructure needed to manage big user bases and significant transaction volumes is provided by hyperscale data centres.

While hyperscale computing is frequently associated with centralised data centres, edge computing—processing data closer to its source—is becoming more and more popular. Hyperscale architectures must be modified to allow distributed computing at the edge in order to keep up with this trend.

Energy Efficiency and Sustainability: Due to the huge energy consumption of hyperscale data centres, there is an increasing focus on enhancing energy efficiency and implementing sustainable practises to reduce the negative environmental effects of these massive operations.

Global Connectivity: Hyperscale computing facilitates cross-regional user experiences that are seamless. International data laws, data sovereignty, and the need to reduce network latency for large user populations are all variables that have an impact on the market.

Innovation is fueled by intense competition among hyperscale computing providers, which also promotes improvements in software efficiency, data centre effectiveness, and hardware design. To draw clients, providers work constantly to improve performance, cut prices, and introduce new services.

Security and compliance are crucial given the growing amount of sensitive data processed, stored, and transported through hyperscale data centres. Solutions with strong security capabilities and regulatory compliance are in great demand.

Hybrid and Multi-Cloud Strategies: To mix on-premises infrastructure with hyperscale cloud services, many organisations use hybrid and multi-cloud strategies. This dynamic opens doors for service providers who offer seamless administration and integration across many contexts.

Regulatory Environment: The way that hyperscale computing providers store, process, and handle data is affected by changes in data privacy rules and data residency requirements. To ensure compliance and prevent legal problems, providers must understand and follow these regulations.

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Competitive and Segmentation Analysis:

The market for hyperscale computing displays a complex segmentation structure that fits the various needs of contemporary organisations and industries. The deployment style, which includes private cloud deployments, hybrid strategies that integrate on-premises infrastructure and cloud resources, and public cloud hyperscale providers, is one of the main segmentation considerations. Every deployment strategy meets a different set of organisational requirements, from cost-effectiveness and scalability to data security and management.

Given that different industries have different needs, vertical segmentation is also essential. In order to manage user interactions, data processing, and content distribution at fast rates, industries including e-commerce, social media, gaming, and streaming services need hyperscale computing. While this is going on, hyperscale computing is being used by sectors including healthcare, finance, and manufacturing to handle complicated simulations, analyse medical data, conduct financial modelling, and spur innovation.

By the services provided, such as infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS), the hyperscale computing market is further divided. While PaaS offers tools and services to simplify the development and deployment of applications, IaaS provides the basic computing power, storage, and networking necessary to construct and manage applications. SaaS eliminates the requirement for consumers to manage supporting infrastructure by delivering ready-to-use software programmes over the internet.

There is fierce competition among a few group of significant businesses that control the market for hyperscale computing. The world's top hyperscale cloud providers, including Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and IBM Cloud, strive to offer leading services, a global infrastructure, and cutting-edge capabilities to businesses and organisations throughout the world.

These giants set themselves apart through their products, financial arrangements, geographic reach, and inventiveness. In order to meet the demands of rising technology trends like edge computing, containerization, and AI/ML, they continuously invest in extending their data centre footprint, improving service performance, and launching new services.

There are additionally specialised businesses and local service providers who serve particular sectors of the economy or geographical areas. These players frequently concentrate on providing specialised services, adhering to regional laws, and providing individualised customer assistance. New players and startups are also innovating as the industry changes to address particular problems in the hyperscale computing environment, such improving data centre energy efficiency or creating new hardware designs.

In this cutthroat business environment, strategic partnerships, alliances, and acquisitions are frequent. In order to deliver integrated solutions that improve their products, cloud providers collaborate with hardware and software makers, software suppliers, and IT firms. To bolster their skills, they also buy businesses with expertise in fields like AI, data analytics, and security.

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