GPU As A Service Market - Size, Share, Industry Trends, and Forecasts (2025-2032)

By Deployment Type:

Based on deployment type, the market is segmented into public cloud, private cloud, hybrid cloud.

Trends in the deployment type:

• Factors including the rapid pace of digital transformation and increasing consumer preference for flexible, scalable, reliable, and cost-effective cloud platform are primary determinants for driving the public cloud segment.
• Factors including ease of integration, flexibility, higher security, and more control over sensitive assets of an organization are key aspects driving the private cloud deployment segment.

The public cloud segment accounted for the largest revenue share of 56.53% in the overall GPU as a service market share in 2024, and it is anticipated to register significant CAGR growth during the forecast period.

• In public cloud deployment, computing services including GPU as-a-service are available on-demand to enterprises over the public internet.
• Moreover, cloud GPU resources including servers, storage, and others are typically owned and operated by a third-party cloud service provider and delivered over the internet.
• Moreover, public cloud deployment offers several benefits higher accessibility, no maintenance requirement, increased scalability, and relatively lower costs in comparison to other types of cloud deployment.
• Consequently, the above benefits related to public cloud deployment are further driving its adoption for the deployment of GPUaaS, in turn propelling GPU as a service market trends.

By Enterprise Type:

Based on enterprise type, the market is segmented into large enterprise and small and medium enterprise (SME).

Trends in the enterprise type:

• Increasing trend in the deployment of private cloud-based GPUaaS in large enterprises, due to its increased flexibility, higher security, and more control over sensitive assets of an enterprise.
• Factors including growing investments in the development of small and medium enterprises and rising deployment of public cloud-based GPUaaS in SMEs are key trends driving the small and medium enterprise segment.

Large enterprise segment accounted for the largest revenue share in the total GPU as a service market share in 2024.

• Large enterprises primarily use GPUaaS for extensive data analysis and training complex machine learning models. This is specifically prevalent in industries such as healthcare, finance, IT, and others.
• Moreover, large enterprises often use GPUaaS for applications involving high-performance computing (HPC), graphics rendering, AI workloads, and others that require real-time processing of large amounts of data.
• For instance, Krutrim offers Ola Krutrim Cloud in its solution offerings, which is a GPUaas that provides flexible, on-demand access to powerful NVIDIA GPUs for applications involving AI training and inference tasks. This service enables large enterprises to utilize cutting-edge hardware without the need for substantial upfront investments, in turn facilitating improved scalability and cost-efficiency for large enterprises.
• Therefore, the increasing adoption of GPUaaS in large enterprises is driving the GPU as a service market trends.

Small and medium enterprise (SME) segment is anticipated to register the fastest CAGR growth during the forecast period.

• Small and medium enterprises are companies that typically maintain workforce, revenues, and assets below a certain threshold.
• Moreover, SMEs usually account for the majority of the businesses that are operating across the world.
• Additionally, SMEs often use GPUaaS to develop and prototype applications that require intensive computation, including machine learning models and design applications among others.
• Similarly, small or medium businesses in creative fields can utilize GPUaaS to access high-quality rendering tools without the need to invest in expensive hardware.
• For instance, according to the U.S. Chamber of Commerce, the number of small businesses in the United States reached 33.2 million in 2022, representing nearly 99.9% of total businesses in the U.S.
• Thus, the rising number of small and medium enterprises is expected to boost the adoption of GPUaaS, in turn driving the GPU as a service market size during the forecast period.

By End Use:

Based on end use, the market is segmented into IT & telecom, BFSI, media and entertainment, gaming, automotive, healthcare, and others.

Trends in the end use:

• Increasing adoption of GPUaaS in the IT & telecom sector for facilitating applications involving AI/ML workloads, data analytics, and real-time processing, and others.
• There is a rising trend towards the utilization of GPUaaS in the gaming industry for providing a cost-efficient solution for game development, cloud gaming, and graphics rendering among others.

The IT & telecom segment accounted for the largest revenue share in the overall market in 2024.

• GPUaaS plays a vital role in the IT & telecom sector for applications involving AI/ML workloads, data analytics, and real-time processing, and others.
• IT & telecom service providers can use GPUaaS for analyzing large amounts of data sets generated from network traffic.
• Moreover, the use of GPUaaS enables IT and telecom companies to scale their GPU capabilities based on fluctuating demands.
• Additionally, the utilization of GPUaaS offers several benefits, including improved scalability, cost-efficiency, faster deployment, and others, which are further driving its adoption in the IT & telecom sector.
• According to the GPU as a service market analysis, the rising utilization of GPUaaS in the IT & telecommunication sector is driving the market.

The gaming segment is anticipated to register the fastest CAGR growth during the forecast period.

• GPUaaS are often used in the gaming sector for applications including game development, cloud gaming, and graphics rendering among others.
• GPUaaS plays a vital role in game streaming platforms by providing the necessary computational power for rendering games on remote servers, which enables players to enjoy high-quality gaming experiences even on lower-end devices.
• Moreover, game developers use GPUaaS for prototyping, testing, and rendering graphics, which facilitates faster iteration times without the need to invest in expensive hardware.
• Additionally, virtual reality (VR) and augmented reality (AR) applications require substantial graphical processing power. This can be attained through GPUaaS, which enables developers to create immersive gaming experiences without local hardware capabilities.
• Therefore, the growing gaming sector is projected to drive market growth during the forecast period.