GPU as a Service (GPUaaS) is the usage of graphics processing units (GPUs) from a cloud environment when there is a requirement for processing massive volumes of data for scientific simulations, deep learning, video rendering, and other applications. A company that sells GPUs as a service entirely maintains the GPUs and enables consumers to rent computing power hourly or on a subscription basis. The performance of a single GPU-powered server can surpass the performance of many CPU-based servers. The result accelerates training deep learning models and computers that power AI applications.
The huge rise in machine learning and AI-based applications across numerous industries, including finance, healthcare, and automotive, is largely responsible for the market's growth. Due to this aspect, there is a growing need for scalable, affordable computing resources, which has led to the development of GPU as a Service, providing on-demand access to GPUs for parallel computation. Major participants provide services using software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS) model for creating cutting-edge products.
A pilot project called “Understanding the Value of a European Video Game Society,” which will be handled by ECORYS Europe, was launched by the European Parliament and the European Video Game Society in January 2022. This study will help the European Commission comprehend the video gaming industry and how it impacts various governmental regulations. With the growing popularity of the gaming industry in this region, it is expected that there will be growth in this market as they provide enhanced graphics and give high-quality gaming experience.
The Germany market dominated the Europe GPU as a Service Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $1.4 billion by 2030. The UK market is estimated to grow at a CAGR of 33.4% during (2023-2030). Additionally, The France market should witness a CAGR of 35.6% during (2023-2030).
Based on Enterprise Type, the market is segmented into Large Enterprises and Small & Medium Enterprises. Based on Deployment Type, the market is segmented into Private, Public, and Hybrid. Based on Application, the market is segmented into Telecom & IT, Manufacturing, BFSI, Healthcare, Automotive and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Amazon Web Services, Inc. (Amazon.com, Inc.), Google LLC (Alphabet Inc.), IBM Corporation, Alibaba Cloud (Alibaba Group Holding Limited), Lambda Inc., Hewlett Packard Enterprise Company (HP Development Company L.P.), Linode LLC (Akamai Technologies, Inc.), CoreWeave, Inc., Vultr (The Constant Company, LLC), and OVH Groupe S.A
Scope of the Study
By Enterprise Type
- Large Enterprises
- Small & Medium Enterprises
By Deployment Type
- Private
- Public
- Hybrid
By Application
- Telecom & IT
- Manufacturing
- BFSI
- Healthcare
- Automotive
- Others
By Country
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Key Market Players
List of Companies Profiled in the Report:
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Google LLC (Alphabet Inc.)
- IBM Corporation
- Alibaba Cloud (Alibaba Group Holding Limited)
- Lambda Inc.
- Hewlett Packard Enterprise Company (HP Development Company L.P.)
- Linode LLC (Akamai Technologies, Inc.)
- CoreWeave, Inc.
- Vultr (The Constant Company, LLC)
- OVH Groupe S.A
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
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Table of Contents
Companies Mentioned
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Google LLC (Alphabet Inc.)
- IBM Corporation
- Alibaba Cloud (Alibaba Group Holding Limited)
- Lambda Inc.
- Hewlett Packard Enterprise Company (HP Development Company L.P.)
- Linode LLC (Akamai Technologies, Inc.)
- CoreWeave, Inc.
- Vultr (The Constant Company, LLC)
- OVH Groupe S.A
Methodology
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