The North America GPU as a Service Market should witness market growth of 33.5% CAGR during the forecast period (2023-2030).
The public cloud model's wide variety of capabilities, which include every aspect from fundamental networking, computing, and storage capabilities to artificial intelligence, natural language processing (NLP), and ordinary office applications, ultimately fuels growth. The use of GPU cloud-based technologies by the next generation of industrial solutions is driving the demand for GPUaaS.
The market participants are anticipated to be given different growth chances, presenting considerable opportunities for GPUaaS providers, as cloud technology is quickly taking over the technical or non-technical enterprises, and the trend is forecast to continue increasing in the coming years. The demand for GPUaaS is anticipated to rise as more businesses relocate their workloads to the cloud for improved performance and functionality. Additionally, expanding partnerships among cloud service providers, GPUaaS providers, hardware suppliers, and software developers may benefit the market.
The demand for GPU-based built-in computational units that efficiently operate on safety monitoring would certainly expand by several notches as a result of the aforementioned fact. The rising demand for cloud-based applications like graphic creation, image processing, and 3D visualization, among others, is driving the expansion of the market.
The United States has one of the world’s most significant automobile industry and the second-largest industry for vehicle sales and production globally. Additionally, the regional automotive industry is a leader in innovation. New initiatives in R&D are transforming the industry so that it can better respond to the opportunities of the twenty-first century. Over 70 U.S.-based R&D facilities are owned by international manufacturers. With the growing automotive industry, the demand for enhancing power and enabling faster, more accurate decision-making capabilities will grow, due to which the market will grow in this region.
The US market dominated the North America 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 $6.3 billion by 2030. The Canada market is estimated to witness a CAGR of 36.5% during (2023-2030). Additionally, The Mexico market would exhibit a CAGR of 35.3% 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 U.S., Mexico, Canada, and Rest of North America.
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
The public cloud model's wide variety of capabilities, which include every aspect from fundamental networking, computing, and storage capabilities to artificial intelligence, natural language processing (NLP), and ordinary office applications, ultimately fuels growth. The use of GPU cloud-based technologies by the next generation of industrial solutions is driving the demand for GPUaaS.
The market participants are anticipated to be given different growth chances, presenting considerable opportunities for GPUaaS providers, as cloud technology is quickly taking over the technical or non-technical enterprises, and the trend is forecast to continue increasing in the coming years. The demand for GPUaaS is anticipated to rise as more businesses relocate their workloads to the cloud for improved performance and functionality. Additionally, expanding partnerships among cloud service providers, GPUaaS providers, hardware suppliers, and software developers may benefit the market.
The demand for GPU-based built-in computational units that efficiently operate on safety monitoring would certainly expand by several notches as a result of the aforementioned fact. The rising demand for cloud-based applications like graphic creation, image processing, and 3D visualization, among others, is driving the expansion of the market.
The United States has one of the world’s most significant automobile industry and the second-largest industry for vehicle sales and production globally. Additionally, the regional automotive industry is a leader in innovation. New initiatives in R&D are transforming the industry so that it can better respond to the opportunities of the twenty-first century. Over 70 U.S.-based R&D facilities are owned by international manufacturers. With the growing automotive industry, the demand for enhancing power and enabling faster, more accurate decision-making capabilities will grow, due to which the market will grow in this region.
The US market dominated the North America 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 $6.3 billion by 2030. The Canada market is estimated to witness a CAGR of 36.5% during (2023-2030). Additionally, The Mexico market would exhibit a CAGR of 35.3% 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 U.S., Mexico, Canada, and Rest of North America.
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
- US
- Canada
- Mexico
- Rest of North America
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
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. North America GPU as a Service Market by Enterprise Type
Chapter 6. North America GPU as a Service Market by Deployment Type
Chapter 7. North America GPU as a Service Market by Application
Chapter 8. North America GPU as a Service Market by Country
Chapter 9. Company Profiles
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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