GPU as a Service Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032
Growth Factors of GPU as a Service Market
The GPU as a service market size was valued at USD 3.23 billion in 2023, and the market is now projected to grow from to USD 4.31 billion in 2024 to USD 49.84 billion by 2032, exhibiting a CAGR of 35.8% during the forecast period of 2024-2032.
Amid the widespread pandemic widespread, the GPU as a Service market experienced quickened development due to the broad selection of cloud administrations. With organizations prioritizing further work and cloud relocation, there was a surge in requests for adaptable computing assets. Expanded speculation in AI, ML, and IoT ventures drove the requirement for cloud GPUs to bolster these activities, impelling advertise extension despite worldwide challenges and in this manner revitalizing GPU as a Service market growth.
The expanding request for GPU-intensive applications, such as video altering and gaming, is anticipated to drive noteworthy development within the GPU as a Service market share. Businesses and analysts can use GPU as service arrangements to quicken machine learning and AI workloads, profiting from fetched effectiveness and on-demand adaptability. Moreover, the integration of cloud GPUs empowers farther get to these applications, adjusting to the developing drift of inaccessible work and virtualization, subsequently encouraging fueling market extension.
Moreover, the surge in requests for GPU-assisted HPC frameworks are driving advertises extension. Businesses over different segments are leveraging GPU as benefit arrangements to handle huge datasets and run analytics productively. For occasion, atNorth as of late propelled a GPUaaS solution aimed at quickening HPC workloads, and coordination HPC information center capabilities with driving GPU and AI computer programs for a comprehensive arrangement.
Comprehensive Analysis of GPU as a Service Market
Within the GPU as a Service market, the private cloud arrangement show is anticipated to lead, driven by rising information security dangers in cloud computing. Businesses prioritize private cloud setups to combat rising malware and phishing assaults, arranging a foundation for custom-fitted security measures. Then again, the crossover GPU cloud section is anticipated to witness noteworthy development, advertising cost-effectiveness, and adaptability benefits. Huge endeavors are balanced to rule market share, leveraging cloud GPUs to moderate framework support challenges and effectively handle compute-intensive workloads. In differentiate, little and medium-sized undertakings (SMEs) are expected to involve the most elevated development rates, adjusting to computerized situations to meet client requests and stay competitive. The pay-as-you-go estimating show is anticipated to rule, offering fetched productivity through adaptable installment choices and asset utilization optimization, whereas the IT & media transmission division leads in the application, driven by the era of gigantic information volumes and the request for progressed information analytics and machine learning capabilities.
The North America is balanced to rule the GPU as a Service market size of USD 0.95 billion in 2022 due to vigorous cloud computing selection, AI application progressions, and critical government speculations in AI inquiries, especially within the joined-together States. South America's showcase development is impelled by a flourishing startup biological system and expanding cloud arrangement selection, with Brazil leading the locale.
Key players within the GPU as a Service market, headquartered over different districts, play significant parts in forming the industry scene and driving showcase guidelines. These incorporate Amazon Web Administrations, Inc. (U.S.), Google (U.S.), Microsoft (U.S.), Vultr (U.S.), and IBM Organization (U.S.). These market pioneers center on persistent item advancements and vital activities such as mergers, acquisitions, and organizations to upgrade their market position. For occurrence, Vultr extended its offerings by presenting the inaccessible openness of the NVIDIA A16 GPU, complementing its existing GPU arrangements lineup. Also, key industry advancements, such as WekaIO's organization with NexGen Cloud Ltd., Yotta Infrastructure's collaboration with NVIDIA Enterprise, and CoreWeave's noteworthy Arrangement B financing, emphasize the energetic nature of the market and the vital maneuvers utilized by key players to capitalize on developing opportunities and remain ahead within the competitive scene.
In March 2023, Lambda Labs secured USD 44 million in a Series B speculation circular, signaling solid financial specialist certainty in its cloud GPU offerings. With plans to convey thousands of Nvidia's most recent H100 GPUs, Lambda Labs points to reinforcing its framework with high-speed arranged intercontinental over its information centers in San Francisco, Texas, California, and Allen.
Segmentation Table
Global GPU as a Service Market Scope
Study Period 2019-2032
Base Year 2023
Estimated Year 2024
Forecast Period 2024-2032
Historical Period 2019-2022
Growth Rate CAGR of 35.8% from 2024-2032
Unit Value (USD Billion)
Segmentation By Deployment Model, By Enterprise Type, By Pricing Model, By Application, and By Region
By Deployment Model Private GPU Cloud
Public GPU Cloud
Hybrid GPU Cloud
By Enterprise Type Small and Medium-sized Enterprises
Large Enterprises
By Pricing Model Pay-as-you-go
Subscription-based
ByApplication
Healthcare
BFSI
Manufacturing
IT & Telecommunication
Automotive
Others (Aerospace & Defense and Agriculture)
ByGeography North America
- U.S. (By Application)
- Canada (By Application)
- Mexico (ByApplication)
South America (By Grade, By Application, and By Country)
- Brazil (By Application)
- Mexico (By Application)
- Rest of South America (By Application)
Europe
- U.K. (By Application)
- Germany (By Application)
- France (By Application)
- Italy (By Application)
- Spain (By Application)
- Nordics (By Application)
- Rest of Europe
Middle East & Africa
- Turkey (By Application)
- Israel (By Application)
- GCC (By Application)
- Saudi (By Application)
- Rest of Middle East & Africa
Asia Pacific
- China (By Application)
- Japan (By Application)
- India (By Application)
- South Korea (By Application)
- ASEAN (By Application)
- Oceania (By Application)
- Rest of Asia Pacific
- 1. Introduction
- 1.1. Definition, By Segment
- 1.2. Research Methodology/Approach
- 1.3. Data Sources
- 2. Executive Summary
- 3. Market Dynamics
- 3.1. Macro and Micro Economic Indicators
- 3.2. Drivers, Restraints, Opportunities and Trends
- 3.3. Impact of Generative AI
- 4. Competition Landscape
- 4.1. Business Strategies Adopted by Key Players
- 4.2. Consolidated SWOT Analysis of Key Players
- 4.3. Global GPU as a Service Key Players Market Share/Ranking, 2023
- 5. Global GPU as a Service Market Size Estimates and Forecasts, By Segments, 2019-2032
- 5.1. Key Findings
- 5.2. By Deployment Model (USD)
- 5.2.1. Private GPU Cloud
- 5.2.2. Public GPU Cloud
- 5.2.3. Hybrid GPU Cloud
- 5.3. By Enterprise Type (USD)
- 5.3.1. Small and Medium-sized Enterprises
- 5.3.2. Large Enterprises
- 5.4. By Pricing Model (USD)
- 5.4.1. Pay-as-you-go
- 5.4.2. Subscription-based
- 5.5. By Application (USD)
- 5.5.1. Healthcare
- 5.5.2. BFSI
- 5.5.3. Manufacturing
- 5.5.4. IT & Telecommunication
- 5.5.5. Automotive
- 5.5.6. Others (Aerospace & Defense, etc.)
- 5.6. By Region (USD)
- 5.6.1. North America
- 5.6.2. South America
- 5.6.3. Europe
- 5.6.4. Middle East & Africa
- 5.6.5. Asia Pacific
- 6. North America GPU as a Service Market Size Estimates and Forecasts, By Segments, 2019-2032
- 6.1. Key Findings
- 6.2. By Deployment Model (USD)
- 6.2.1. Private GPU Cloud
- 6.2.2. Public GPU Cloud
- 6.2.3. Hybrid GPU Cloud
- 6.3. By Enterprise Type (USD)
- 6.3.1. Small and Medium-sized Enterprises
- 6.3.2. Large Enterprises
- 6.4. By Pricing Model (USD)
- 6.4.1. Pay-as-you-go
- 6.4.2. Subscription-based
- 6.5. By Application (USD)
- 6.5.1. Healthcare
- 6.5.2. BFSI
- 6.5.3. Manufacturing
- 6.5.4. IT & Telecommunication
- 6.5.5. Automotive
- 6.5.6. Others (Aerospace & Defense, etc.)
- 6.6. By Country (USD)
- 6.6.1. United States
- 6.6.1.1. By Application
- 6.6.2. Canada
- 6.6.2.1. By Application
- 6.6.3. Mexico
- 6.6.3.1. By Application
- 7. South America GPU as a Service Market Size Estimates and Forecasts, By Segments, 2019-2032
- 7.1. Key Findings
- 7.2. By Deployment Model (USD)
- 7.2.1. Private GPU Cloud
- 7.2.2. Public GPU Cloud
- 7.2.3. Hybrid GPU Cloud
- 7.3. By Enterprise Type (USD)
- 7.3.1. Small and Medium-sized Enterprises
- 7.3.2. Large Enterprises
- 7.4. By Pricing Model (USD)
- 7.4.1. Pay-as-you-go
- 7.4.2. Subscription-based
- 7.5. By Application (USD)
- 7.5.1. Healthcare
- 7.5.2. BFSI
- 7.5.3. Manufacturing
- 7.5.4. IT & Telecommunication
- 7.5.5. Automotive
- 7.5.6. Others (Aerospace & Defense, etc.)
- 7.6. By Country (USD)
- 7.6.1. Brazil
- 7.6.1.1. By Application
- 7.6.2. Argentina
- 7.6.2.1. By Application
- 7.6.3. Rest of South America
- 8. Europe GPU as a Service Market Size Estimates and Forecasts, By Segments, 2019-2032
- 8.1. Key Findings
- 8.2. By Deployment Model (USD)
- 8.2.1. Private GPU Cloud
- 8.2.2. Public GPU Cloud
- 8.2.3. Hybrid GPU Cloud
- 8.3. By Enterprise Type (USD)
- 8.3.1. Small and Medium-sized Enterprises
- 8.3.2. Large Enterprises
- 8.4. By Pricing Model (USD)
- 8.4.1. Pay-as-you-go
- 8.4.2. Subscription-based
- 8.5. By Application (USD)
- 8.5.1. Healthcare
- 8.5.2. BFSI
- 8.5.3. Manufacturing
- 8.5.4. IT & Telecommunication
- 8.5.5. Automotive
- 8.5.6. Others (Aerospace & Defense, etc.)
- 8.6. By Country (USD)
- 8.6.1. United Kingdom
- 8.6.1.1. By Application
- 8.6.2. Germany
- 8.6.2.1. By Application
- 8.6.3. France
- 8.6.3.1. By Application
- 8.6.4. Italy
- 8.6.4.1. By Application
- 8.6.5. Spain
- 8.6.5.1. By Application
- 8.6.6. Nordics
- 8.6.6.1. By Application
- 8.6.7. Rest of Europe
- 9. Middle East & Africa GPU as a Service Market Size Estimates and Forecasts, By Segments, 2019-2032
- 9.1. Key Findings
- 9.2. By Deployment Model (USD)
- 9.2.1. Private GPU Cloud
- 9.2.2. Public GPU Cloud
- 9.2.3. Hybrid GPU Cloud
- 9.3. By Enterprise Type (USD)
- 9.3.1. Small and Medium-sized Enterprises
- 9.3.2. Large Enterprises
- 9.4. By Pricing Model (USD)
- 9.4.1. Pay-as-you-go
- 9.4.2. Subscription-based
- 9.5. By Application (USD)
- 9.5.1. Healthcare
- 9.5.2. BFSI
- 9.5.3. Manufacturing
- 9.5.4. IT & Telecommunication
- 9.5.5. Automotive
- 9.5.6. Others (Aerospace & Defense, etc.)
- 9.6. By Country (USD)
- 9.6.1. Turkey
- 9.6.1.1. By Application
- 9.6.2. Israel
- 9.6.2.1. By Application
- 9.6.3. GCC
- 9.6.3.1. By Application
- 9.6.4. South Africa
- 9.6.4.1. By Application
- 9.6.5. Rest of MEA
- 10. Asia Pacific GPU as a Service Market Size Estimates and Forecasts, By Segments, 2019-2032
- 10.1. Key Findings
- 10.2. By Deployment Model (USD)
- 10.2.1. Private GPU Cloud
- 10.2.2. Public GPU Cloud
- 10.2.3. Hybrid GPU Cloud
- 10.3. By Enterprise Type (USD)
- 10.3.1. Small and Medium-sized Enterprises
- 10.3.2. Large Enterprises
- 10.4. By Pricing Model (USD)
- 10.4.1. Pay-as-you-go
- 10.4.2. Subscription-based
- 10.5. By Application (USD)
- 10.5.1. Healthcare
- 10.5.2. BFSI
- 10.5.3. Manufacturing
- 10.5.4. IT & Telecommunication
- 10.5.5. Automotive
- 10.5.6. Others (Aerospace & Defense, etc.)
- 10.6. By Country (USD)
- 10.6.1. China
- 10.6.1.1. By Application
- 10.6.2. India
- 10.6.2.1. By Application
- 10.6.3. Japan
- 10.6.3.1. By Application
- 10.6.4. South Korea
- 10.6.4.1. By Application
- 10.6.5. ASEAN
- 10.6.5.1. By Application
- 10.6.6. Oceania
- 10.6.6.1. By Application
- 10.6.7. Rest of Asia Pacific
- 11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
- 11.1. Alibaba Cloud
- 11.1.1. Overview
- 11.1.1.1. Key Management
- 11.1.1.2. Headquarters
- 11.1.1.3. Offerings/Business Segments
- 11.1.2. Key Details (Key details are consolidated data and not Deployment Model/service specific)
- 11.1.2.1. Employee Size
- 11.1.2.2. Past and Current Revenue
- 11.1.2.3. Geographical Share
- 11.1.2.4. Business Segment Share
- 11.1.2.5. Recent Developments
- 11.2. Vultr
- 11.2.1. Overview
- 11.2.1.1. Key Management
- 11.2.1.2. Headquarters
- 11.2.1.3. Offerings/Business Segments
- 11.2.2. Key Details (Key details are consolidated data and not Deployment Model/service specific)
- 11.2.2.1. Employee Size
- 11.2.2.2. Past and Current Revenue
- 11.2.2.3. Geographical Share
- 11.2.2.4. Business Segment Share
- 11.2.2.5. Recent Developments
- 11.3. Linode LLC.
- 11.3.1. Overview
- 11.3.1.1. Key Management
- 11.3.1.2. Headquarters
- 11.3.1.3. Offerings/Business Segments
- 11.3.2. Key Details (Key details are consolidated data and not Deployment Model/service specific)
- 11.3.2.1. Employee Size
- 11.3.2.2. Past and Current Revenue
- 11.3.2.3. Geographical Share
- 11.3.2.4. Business Segment Share
- 11.3.2.5. Recent Developments
- 11.4. Amazon Web Services, Inc.
- 11.4.1. Overview
- 11.4.1.1. Key Management
- 11.4.1.2. Headquarters
- 11.4.1.3. Offerings/Business Segments
- 11.4.2. Key Details (Key details are consolidated data and not Deployment Model/service specific)
- 11.4.2.1. Employee Size
- 11.4.2.2. Past and Current Revenue
- 11.4.2.3. Geographical Share
- 11.4.2.4. Business Segment Share
- 11.4.2.5. Recent Developments
- 11.5. Google
- 11.5.1. Overview
- 11.5.1.1. Key Management
- 11.5.1.2. Headquarters
- 11.5.1.3. Offerings/Business Segments
- 11.5.2. Key Details (Key details are consolidated data and not Deployment Model/service specific)
- 11.5.2.1. Employee Size
- 11.5.2.2. Past and Current Revenue
- 11.5.2.3. Geographical Share
- 11.5.2.4. Business Segment Share
- 11.5.2.5. Recent Developments
- 11.6. IBM Corporation
- 11.6.1. Overview
- 11.6.1.1. Key Management
- 11.6.1.2. Headquarters
- 11.6.1.3. Offerings/Business Segments
- 11.6.2. Key Details (Key details are consolidated data and not Deployment Model/service specific)
- 11.6.2.1. Employee Size
- 11.6.2.2. Past and Current Revenue
- 11.6.2.3. Geographical Share
- 11.6.2.4. Business Segment Share
- 11.6.2.5. Recent Developments
- 11.7. OVH SAS
- 11.7.1. Overview
- 11.7.1.1. Key Management
- 11.7.1.2. Headquarters
- 11.7.1.3. Offerings/Business Segments
- 11.7.2. Key Details (Key details are consolidated data and not Deployment Model/service specific)
- 11.7.2.1. Employee Size
- 11.7.2.2. Past and Current Revenue
- 11.7.2.3. Geographical Share
- 11.7.2.4. Business Segment Share
- 11.7.2.5. Recent Developments
- 11.8. Lambda Labs
- 11.8.1. Overview
- 11.8.1.1. Key Management
- 11.8.1.2. Headquarters
- 11.8.1.3. Offerings/Business Segments
- 11.8.2. Key Details (Key details are consolidated data and not Deployment Model/service specific)
- 11.8.2.1. Employee Size
- 11.8.2.2. Past and Current Revenue
- 11.8.2.3. Geographical Share
- 11.8.2.4. Business Segment Share
- 11.8.2.5. Recent Developments
- 11.9. Hewlett Packard Enterprise Development LP
- 11.9.1. Overview
- 11.9.1.1. Key Management
- 11.9.1.2. Headquarters
- 11.9.1.3. Offerings/Business Segments
- 11.9.2. Key Details (Key details are consolidated data and not Deployment Model/service specific)
- 11.9.2.1. Employee Size
- 11.9.2.2. Past and Current Revenue
- 11.9.2.3. Geographical Share
- 11.9.2.4. Business Segment Share
- 11.9.2.5. Recent Developments
- 11.10. CoreWeave
- 11.10.1. Overview
- 11.10.1.1. Key Management
- 11.10.1.2. Headquarters
- 11.10.1.3. Offerings/Business Segments
- 11.10.2. Key Details (Key details are consolidated data and not Deployment Model/service specific)
- 11.10.2.1. Employee Size
- 11.10.2.2. Past and Current Revenue
- 11.10.2.3. Geographical Share
- 11.10.2.4. Business Segment Share
- 11.10.2.5. Recent Developments
- 12. Key Takeaways
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