GPU as a Service (GPUaaS) Market Size - By Component (Software, Service), Service Model (SaaS, PaaS, IaaS), Delivery Model (Public, Private, Hybrid) End-user (Gaming, Design & Manufacturing, Automotive, Real Estate, Healthcare), By Application & Forecast 2024 – 2032

GPU as a Service Market Size

GPU as a Service Market size was valued at USD 6.4 billion in 2023 and is projected to grow at a CAGR of over 30% during 2024 to 2032. This growth is driven by the increasing adoption of cloud computing services, which are popular for their scalability, cost-effectiveness, and efficiency. According to data from the European Commission, over 45% of businesses in the EU purchased cloud computing services in 2023 for tasks such as email hosting, file storage, and office software.
 

This is a 4.2% increase from 2021. Large enterprises led this trend, with 77.6% using cloud services in 2023, up 6 percentage points from 2021. Medium-sized enterprises also increased their usage to 59%, up from 53% in 2021. GPUaaS aligns with this trend by providing scalable GPU resources via the cloud. This allows companies to access powerful computing capabilities without needing to manage physical hardware, easing the workload on IT teams and letting businesses focus on their core activities while using advanced GPU technology.
 

Traditional GPU hardware involves significant upfront costs for purchasing and maintaining physical GPUs. GPUaaS changes this by allowing businesses to pay only for the GPU resources they use, turning it into a more manageable operating expense. This pay-as-you-go model fits well with cloud services and simplifies cost management. With GPUaaS, businesses can also scale their GPU resources according to their current needs.
 

This flexibility is particularly useful for handling varying workloads, such as during peak usage times or sudden spikes in demand. By using GPUaaS, companies avoid the high costs and complexities of managing physical hardware while still meeting their performance needs. Additionally, this service provides quick access to powerful computing resources, which can speed up project timelines and boost innovation, giving businesses a competitive advantage. This is further expected to contribute to the growth of the GPUaaS market during the forecast period.
 

GPUaaS typically offers pre-configured environments that might not meet all the specific needs of an organization. Limited customization options can make it hard for users to adjust the GPU environment to their exact requirements. Additionally, businesses using GPUaaS have less control over the infrastructure compared to owning their own hardware. This lack of control can make it difficult to optimize performance and solve problems quickly. These issues are major factors hindering the growth of the market.
 

GPU as a Service Market Trends

The GPUaaS industry is witnessing a growing trend in its use for high-performance computing (HPC) tasks, such as scientific simulations, weather forecasting, and financial modeling. HPC applications need substantial computational power for simulations and modeling. GPUs speed up the processing of large datasets and complex calculations, enabling faster and more detailed simulations, like particle collisions. Climate scientists are increasingly using GPUaaS for weather forecasting and climate modeling.
 

By leveraging GPUs' parallel processing capabilities, researchers can analyze vast amounts of meteorological data to predict weather patterns and model climate changes with greater accuracy. This helps in understanding and mitigating the impacts of climate change.
 

Companies are forming strategic partnership to launch GPUaaS. For instance, in August 2024, Singtel, a telecom company from Singapore, partnered with Bridge Alliance to launch GPU-as-a-Service (GPUaaS) in Southeast Asia. This service will use Nvidia's H100 Tensor Core GPU clusters. Singtel will also be the first to introduce Nvidia's new GB200 AI servers. The service will expand to new AI-ready datacentres by Nxera, Singtel's regional datacentre business, in Singapore, Thailand, Indonesia, and Malaysia from the first half of 2025.
 

GPU as a Service Market Analysis

Based on the service model, the market is segmented into SaaS, PaaS and IaaS. The SaaS segment held over 55% of the market share in 2023 and is expected to cross USD 35 billion by 2032. The SaaS service model eliminates the need for hardware maintenance and updates, as the service provider manages software, patching, and scaling. This ease of use attracts companies looking to reduce operational burdens while accessing high-performance computing.
 

Additionally, SaaS-based GPUaaS allows organizations to scale their GPU resources as needed. This scalability is particularly beneficial for companies with changing workloads or those needing GPUs for specific projects, such as AI model training or 3D rendering, without long-term commitments. This is expected to drive the growth SaaS model during the forecast period.
 

Based on end-user, the GPU as a service market is segmented into gaming, design & manufacturing, automotive, real estate, healthcare and others. The gaming segment held around 31% of the market in 2023. Modern games need high-quality graphics, real-time rendering, and immersive environments, which require powerful GPUs. GPUaaS allows gaming companies to provide gamers with enhanced visual experiences, such as ray tracing and 4K resolution, without needing expensive gaming PCs. Additionally, GPUaaS can handle real-time rendering for complex scenes, simulations, and physics-based interactions, which are essential in modern, graphics-intensive games like first-person shooters (FPS), MMORPGs, and open-world titles.
 

North America holds around 37% of the GPU as a service market share in 2023 and is expected to expand significantly through 2032. The growth of the market in the region can be attributed to the presence of leading cloud service providers including AWS, Microsoft Corporation and Google LLC which are driving the expansion of GPUaaS offerings.
 

These companies offer scalable, reliable, and secure GPUaaS solutions, enabling enterprises to use cloud-based GPUs for various applications, including gaming, AI, and data analytics. Furthermore, the strong cloud infrastructure in the U.S. and Canada supports fast and widespread adoption of GPUaaS. These providers are continuously innovating and adding advanced GPUs to their platforms, making high-performance computing accessible to businesses of all sizes and boosting the region's market growth.
 

The European Union's high investment in AI and digital transformation is driving demand for GPUaaS, as AI research and development require significant GPU power. Countries including Germany, France, and the U.K. are witnessing growth in AI startups and academic institutions that use cloud-based GPUs for developing advanced AI applications, such as autonomous systems, robotics, and natural language processing. Also, the European AI strategy, which aims to enhance AI capabilities in healthcare, transport, and manufacturing, is further increasing the need for GPUaaS, allowing companies to scale AI infrastructure without large capital investments.
 

Major countries in the Asia Pacific including India, China, Japan and Singapore are experiencing a rapid adoption of AI and big data analytics, especially in sectors such as fintech, healthcare, and smart cities. The need for computational for AI applications and real-time data processing is driving these markets towards GPUaaS as a scalable solution.
 

GPU as a Service Market Share

Nvidia Corporation and Intel Corporation hold a market share of over 25% in the GPUaaS industry in 2023. Nvidia focuses on collaborating with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud to increase the adoption of its GPUs in the cloud. The company also integrates its NVIDIA AI and CUDA platform into cloud environments, allowing developers to use its GPUaaS offerings without needing physical hardware. These partnerships broaden NVIDIA's reach and make their GPUaaS solutions more accessible.
 

Intel is expanding its GPUaaS offerings by focusing on AI workloads with its Intel Xeon processors and Intel Data Center GPUs. By integrating with AI platforms, the company is positioning its GPUs to target industries such as healthcare, finance, and autonomous vehicles, where AI is in high demand. This strategy helps Intel capture a larger share of the growing AI-based GPUaaS industry.
 

GPU as a Service Market Companies

Major companies operating in the GPU industry are:

• Advanced Micro Devices, Inc.
• Alibaba Cloud
• Amazon Web Services Inc.
• Autodesk Inc.
• Google LLC
• Intel Corporation
• Microsoft Corporation
• Nvidia Corporation
• OVH Cloud
• Qualcomm Technologies
   

GPU as a Service Industry News

• In February 2024, NexGen Cloud signed with Weka to provide parallel access filesystem software for its GPU-as-a-Service customers. The company became Weka’s third GPU cloud farm customer after two North America based GPUaaS providers Applied Digital and Iris Energy.
   
• In April 2023, Catalyst Cloud released GPU as a service (GPUaaS), providing access to NVIDIA A100 GPU cards in the New Zealand market. The service targets customers in sectors such as AI, genomics, and big data analytics, enabling them to run computationally intensive applications, including image and video analysis, weather forecasting, and advanced translation services.
   

The GPU as a Service (GPUaaS) market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue (USD Billion) from 2021 to 2032, for the following segments:

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Market, By Component

• Software
  • CAD/CAM
  • Simulation
  • Imaging
  • Digital Video
  • Modeling and animation
  • Others
• Service
  • Managed services
  • Updates and maintenance
  • Compliance and security
  • Others

Market, By Delivery Model

• Public
• Private
• Hybrid

Market, By Service Model

• SaaS
• PaaS
• IaaS

Market, By End-user

• Gaming
• Design and Manufacturing
• Automotive
• Real estate
• Healthcare
• Others

Market, By Application

• AI & ML
• Graphics rendering
• Data analytics
• Scientific simulations
• Medical imaging
• Cryptocurrency mining
• Others

The above information is provided for the following regions and countries:

• North America
  • U.S.
  • Canada
• Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Russia
  • Nordics
  • Rest of Europe
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • ANZ
  • Southeast Asia
  • Rest of Asia Pacific
• Latin America
  • Brazil
  • Mexico
  • Argentina
  • Rest of Latin America
• MEA
  • South Africa
  • UAE
  • Saudi Arabia
  • Rest of MEA