USD 4.5 billion
Report ID:
SQMIG45E2159 |
Region:
Global |
Published Date: February, 2025
Pages:
197
|Tables:
99
|Figures:
76
GPU As a Service Market size was valued at USD 4.5 billion in 2023 and is poised to grow from USD 6.08 billion in 2024 to USD 67.92 billion by 2032, growing at a CAGR of 35.2% during the forecast period (2025-2032).
The global GPU as a service industry is witnessing a growing trend in its use for high-performance computing (HPC) tasks, such as scientific simulations, weather forecasting, and the financial modeling. HPC applications need substantial computational power for simulations and modeling.
The GPU as a service industry is growing rapidly due to the rising end-vertical applications of the services including intensive computing tasks, such as deep learning, machine learning, gaming, and data analytics along with scientific computing. The fraternity is run by a range of service providers that are constantly investing in means to upgrade the products and related outcomes.
Some of the key players include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform along with more specific and specialized service providers like Nimbix, Lunacloud, and Paperspace. The suppliers provide access to GPU systems across different frameworks like TensorFlow, Caffe, and the PyTorch. During the forecast period, the industry is likely to achieve high growth while having to navigate through roadblocks and certain challenges.
Market snapshot - 2025-2032
Global Market Size
USD 4.5 billion
Largest Segment
Subscription-based plans
Fastest Growth
Pay-per-use
Growth Rate
35.2% CAGR
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Global GPU As a Service Market is segmented by Component, Pricing Model, Organization Size, Vertical and region. Based on Component, the market is segmented into Solution and Services. Based on Pricing Model, the market is segmented into Pay-per-use and Subscription-based plans. Based on Organization Size, the market is segmented into Large Size Organization and Small & Medium Size Organizations. Based on Vertical, the market is segmented into BFSI, Media and Entertainment, IT & Telecommunication, Healthcare, Gaming, Automotive Industry and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
As per the global GPU as a service market forecast, the solution segment dominated the market with a revenue share of 56.5% in 2024. GPU as a Service (GPUaaS) is desirable for edge computing and IoT applications, where real-time data processing and AI inferencing are required at the network's edge. The efficiency of GPUs allows businesses to implement AI-driven solutions on edge devices with constrained resources. Businesses seek GPUaaS to enable real-time processing of data and models, supporting critical decision-making processes in dynamic environments like finance, logistics, and supply chain management. The segment's growth is driven by the need for faster and more powerful computing capabilities.
The services segment is expected to grow with the fastest CAGR from 2025 to 2032. By leveraging GPUaaS services, IT and Telecom companies can optimize their operations, deliver more advanced and innovative services to their customers, and gain a competitive edge in the rapidly evolving digital landscape. The flexibility and scalability of GPU as a Service (GPUaaS) make it a valuable resource for handling the growing computational demands of these industries. GPU as a Service (GPUaaS) allows users to provision virtual machines or instances equipped with powerful GPUs. These instances can be selected based on specific GPU types, memory, and computational power requirements.
As per the global GPU as a service market analysis, the subscription-based plans segment is estimated to dominate the market throughout the forecast period. Subscription-based plans often provide cost savings compared to pay-as-you-go models, especially for users who require GPU resources regularly and predictably. By committing to a subscription plan, users can secure access to GPUs at a lower cost per hour compared to on-demand pricing. Users involved in long-term projects or ongoing workloads find subscription-based plans more convenient and suitable. Instead of managing payments per hour, they can maintain consistent and uninterrupted access to GPU resources throughout their project.
The pay-per-use segment is expected to witness prominent growth over the forecast period. Pay-per-use pricing eliminates the need for upfront commitments or long-term contracts. It allows businesses and developers to access GPU resources without any initial investments, making GPU as a services more accessible to a wider audience. Major cloud service providers offering GPUaaS often compete on pay-per-use pricing, driving the growth of this segment. Competitive pricing helps attract users and encourages them to choose GPU as a Service (GPUaaS) for their computing needs. Users with sporadic or on-demand workloads benefit from pay-per-use pricing, as they can avoid paying for idle GPU resources when they are not actively using them.
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As per the GPU as a service market outlook, North America region dominated in 2024. The North America region has been experiencing significant growth and prominence as cloud computing, artificial intelligence (AI), and high-performance computing (HPC) have become integral to various industries. The increasing demand for AI and ML applications that require substantial computational power has fueled the adoption of GPU as a Service (GPUaaS). The GPU as a service market in the U.S. is anticipated to grow at a significant CAGR during the forecast period. There is a strong emphasis on innovation and technological advancements, especially in emerging technologies, such as AI, IoT, and robotics, in the U.S.
The GPU as a service market in Asia Pacific is anticipated to grow at a significant CAGR during the forecast period. The convergence of increasing computational demands and the proliferation of GPU-intensive applications have contributed to the remarkable growth of GPUaaS in Asia-Pacific. Major cloud service providers in the region, including Alibaba Cloud and Tencent Cloud, have been at the forefront of offering GPU instances as part of their cloud computing services, making GPUaaS readily accessible to businesses and developers. The rise of cloud gaming platforms and the ever-expanding applications of AI further propel the growth of GPUaaS in the region.
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GPU As a Service Market Drivers
Increased Computational Requirements for Training and Deploying Generative AI Models
Generative Artificial Intelligence (AI) is a revolutionary technology that presents significant computing challenges. Generative AI models are often complex and involve the processing of huge volumes of datasets. For instance, many inference calculations are executed every time a user uses DALL-E, an image generation model. This, in turn, increases the demand for powerful computing resources for efficient processing.
Surge in Complex Simulations and Deep Learning Workloads
The rapid evolution of large, complex simulations, and deep learning workloads has increased the use of HPC products and services to process large volumes of datasets, run analytics, and other applications in less time. Businesses in almost every sector are increasingly employing GPU-assisted HPC infrastructure for data-intensive computing. Moreover, several companies in the market are increasingly launching GPU as a service solution to maintain the highest level of performance and speed of HPC.
GPU As a Service Market Restraints
Data Security Concerns Coupled with Less Awareness in Developing Economies
Data security is one of the major issues that is anticipated to limit market growth. Since GPU as a service solution stores and processes data on the cloud, there is a higher risk of data loss, unauthorized access, and cyberattacks. GPU as a service solution providers must ensure that they have placed enough security measures in place to protect users' data.
High Incurrence of Cost and Lack of Awareness to Impede the Market Growth
The global GPU as a service market faces significant challenges due to the high costs associated with adopting and maintaining GPU infrastructure. One of the factors includes the high incurrence of costs, which is projected to hinder market growth. Moreover, the need for more awareness of technologically advanced methods and their misunderstanding of the advantages of GPU as a Service are other factors limiting the market growth.
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The market is characterized by strong competition, with a few major worldwide competitors owning a significant market share. The major focus is developing new products and collaborating among the key players. For instance, in March 2023, NVIDIA Corporation, a U.S.-based software company, partnered with Oracle Cloud, Google Cloud, and Microsoft Azure to unveil NVIDIA DGX Cloud, an advanced computing platform. This service gives enterprises swift and direct access to the essential infrastructure and software required to train advanced models in generative AI and other advanced applications.
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
According to SkyQuest analysis, the increasing volume of data and the demand for advanced data analytics have been major drivers behind the growing demand for graphics processing unit (GPU) acceleration, especially in GPU as a Service (GPUaaS). Despite challenges like high implementation costs and a lack of awareness about advanced technologies, the market continues to thrive due to the growing need for data analysis and visualization, particularly in emerging sectors like artificial intelligence and machine learning. 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 GPU as a service market is experiencing significant growth, driven by the increasing demand for specialized processors to handle complex graphics calculations across various industries such as manufacturing, automotive, real estate, and healthcare. The market's expansion is further fueled by the rising adoption of cloud-based GPU solutions, which offer cost-effective and scalable options for businesses.
Report Metric | Details |
---|---|
Market size value in 2023 | USD 4.5 billion |
Market size value in 2032 | USD 67.92 billion |
Growth Rate | 35.2% |
Base year | 2024 |
Forecast period | 2025-2032 |
Forecast Unit (Value) | USD Billion |
Segments covered |
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Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
Companies covered |
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Customization scope | Free report customization with purchase. Customization includes:-
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Table Of Content
Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
Methodology
For the GPU As a Service Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the GPU As a Service Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
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Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the GPU As a Service Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the GPU As a Service Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
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GPU As a Service Market size was valued at USD 3.49 Billion in 2023 and is poised to grow from USD 4.82 Billion in 2024 to USD 64.18 Billion by 2032, growing at a CAGR of 0.382 during the forecast period (2025-2032).
The market is characterized by strong competition, with a few major worldwide competitors owning a significant market share. The major focus is developing new products and collaborating among the key players. For instance, in March 2023, NVIDIA Corporation, a U.S.-based software company, partnered with Oracle Cloud, Google Cloud, and Microsoft Azure to unveil NVIDIA DGX Cloud, an advanced computing platform. This service gives enterprises swift and direct access to the essential infrastructure and software required to train advanced models in generative AI and other advanced applications. 'NVIDIA (US)', 'Amazon Web Services (US)', 'Microsoft (US)', 'Google Cloud (US)', 'IBM (US)', 'Alibaba Cloud (China)', 'Tencent Cloud (China)', 'Baidu (China)', 'ATOS (France)', 'Fujitsu (Japan)', 'Dell EMC (US)', 'Penguin Computing (US)', 'Nimbix (US)', 'ScaleMatrix (US)', 'Paperspace (US)', 'G-Core Labs (Germany)', 'Sheepdog Computing (US)', 'Anyscale (US)', 'Cerebras Systems (US)', 'Rescale (US)'
Generative Artificial Intelligence (AI) is a revolutionary technology that presents significant computing challenges. Generative AI models are often complex and involve the processing of huge volumes of datasets. For instance, many inference calculations are executed every time a user uses DALL-E, an image generation model. This, in turn, increases the demand for powerful computing resources for efficient processing.
Growing Demand for Games: There are about 3 billion gamers who are active worldwide. Approximately, 4 billion gamers are projected to exist worldwide in 2024. Not only on laptops or PC, also the games are also extensively played on mobile phones. Current smartphones have cutting-edge embedded chipsets that, depending on their programming, are capable of performing a wide range of functions. The performance of the GPUs, which are a crucial component of those chipsets as mobile games push the limits of their capabilities, is becoming more and more significant. Hence, growing demand for games from all around the world is estimated to boost the growth of the market.
As per the GPU as a service market outlook, North America region dominated in 2024. The North America region has been experiencing significant growth and prominence as cloud computing, artificial intelligence (AI), and high-performance computing (HPC) have become integral to various industries. The increasing demand for AI and ML applications that require substantial computational power has fueled the adoption of GPU as a Service (GPUaaS). The GPU as a service market in the U.S. is anticipated to grow at a significant CAGR during the forecast period. There is a strong emphasis on innovation and technological advancements, especially in emerging technologies, such as AI, IoT, and robotics, in the U.S. The GPU as a service market in Asia Pacific is anticipated to grow at a significant CAGR during the forecast period. The convergence of increasing computational demands and the proliferation of GPU-intensive applications have contributed to the remarkable growth of GPUaaS in Asia-Pacific. Major cloud service providers in the region, including Alibaba Cloud and Tencent Cloud, have been at the forefront of offering GPU instances as part of their cloud computing services, making GPUaaS readily accessible to businesses and developers. The rise of cloud gaming platforms and the ever-expanding applications of AI further propel the growth of GPUaaS in the region.
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