
Report ID: SQMIG45E2159
Skyquest Technology's expert advisors have carried out comprehensive research on the gpu as a service market to identify the major global and regional market trends and growth opportunities for leading players and new entrants in this market. The analysis is based on in-depth primary and secondary research to understand the major market drivers and restraints shaping the future development and growth of the industry.
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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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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