GPU As A Service (GPUaaS) Market Size, Share & Trends Analysis Report By Component (Solution, Services), By Industry Vertical (BFSI, Gaming), By Pricing Model, By Organization Size, By Region, And Segment Forecasts, 2023 - 2030

Report Overview

The global GPU as a service (GPUaaS) market size was estimated at USD 3.005 billion in 2022 and is projected to grow at a compound annual growth rate (CAGR) of 20.3% from 2023 to 2030. 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). GPUs excel at parallel processing, making them highly efficient at handling the computational demands of large-scale data processing and analysis tasks. Data-driven businesses often are required to perform complex data analytics, such as running machine learning algorithms, deep learning models, and statistical analyses. GPUs can accelerate these computations, reducing the time required to derive meaningful insights.

Cloud gaming platforms have become increasingly popular. GPUaaS is crucial in delivering high-quality gaming experiences to players without powerful gaming hardware. The powerful GPUs in the cloud can handle resource-intensive gaming tasks and render high-quality graphics, ensuring that players enjoy immersive and visually stunning gaming experiences. For instance, NVIDIA GeForce NOW is a cloud gaming platform developed by NVIDIA Corporation, a U.S.-based GPU manufacturer. GeForce NOW allows users to stream and play games from the cloud on various devices, including laptops, desktops, smartphones, and NVIDIA SHIELD devices.

GPU as a Service (GPUaaS) is extensively utilized in artificial intelligence (AI) and machine learning (ML) applications due to its ability to accelerate computations and handle the complex processing demands of AI/ML algorithms. GPUaaS is important in the AI and ML landscape, expediting the development, training, and deployment of intricate models and facilitating the integration of AI-driven solutions in diverse industries. For instance, Amazon SageMaker, a service provided by Amazon Web Services (AWS), is a fully managed platform for building, training, and deploying machine learning models. SageMaker leverages GPUaaS to deliver high-performance and scalable ML solutions to businesses and developers.

Component Insights

In terms of component, the solution segment dominated the market in 2022 with a revenue share of 56.83%. GPUaaS is sought after 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 anticipated to grow with the fastest CAGR of 21.1% from 2023 to 2030. 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 GPUaaS make it a valuable resource for handling the growing computational demands of these industries. The GPUaaS services allow 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.

Pricing Model Insights

In terms of pricing model, the subscription-based plans segment dominated the market in 2022 with a revenue share of 55.27%. 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 anticipated to witness the fastest CAGR of 21.1% 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 GPUaaS 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 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.

Organization Size Insights

In terms of organization size, the large-size organization segment led the market in 2022 with a revenue share of 57.04%. GPUaaS offers scalability to accommodate varying computational demands. Large organizations often have fluctuating workloads, and GPUaaS allows them to scale GPU resources depending on their needs, ensuring optimal performance and resource utilization. GPUaaS can be quickly provisioned and deployed, allowing large organizations to access GPU resources without the time-consuming process of acquiring and setting up dedicated hardware. This speed of deployment facilitates faster development and testing of applications.

GPUaaS operates on a pay-as-you-go model, allowing SMEs to access powerful GPU resources without significant upfront investments in dedicated hardware. This cost-effective approach enables SMEs to leverage advanced computing capabilities within budget constraints. By deploying GPUaaS, SMEs gain access to cutting-edge GPU technology without the burden of managing hardware upgrades. This access to advanced technology empowers them to remain competitive and innovative in their industries. SMEs often have varying computational needs, and GPUaaS provides the flexibility to scale GPU resources based on demand.

Industry Vertical Insights

In terms of industry vertical, the gaming segment dominated the market in 2022 with a revenue share of 25.14%. Cloud gaming platforms are built on GPUaaS, enabling users to stream and play games directly from the cloud without needing powerful gaming hardware. Players can access high-quality games on various devices, including laptops, smartphones, and smart TVs. Game designers can create visually stunning and realistic game environments with the help of GPUaaS. Players enjoy an immersive gaming experience because of the powerful GPU resources supporting advanced rendering techniques, high-resolution textures, and complex visual effects.

GPU as a Service (GPUaaS) is experiencing significant growth in the IT and Telecom industries due to its transformative impact on computing capabilities. As data-driven technologies, AI, and high-performance computing continue to play pivotal roles in these sectors, the demand for powerful GPU resources has surged. GPUaaS caters to this demand by providing on-demand access to high-performance GPUs without large upfront investments in hardware. Moreover, the rapid rise of cloud-based services has contributed to the proliferation of GPUaaS. Cloud service providers are integrating GPU resources into their offerings, enabling businesses to harness GPUs' full potential while enjoying cloud computing's flexibility and scalability.

Regional Insights

Based on region, North America dominated the market in 2022 with a revenue share of 34.0%. The GPUaaS market in North America 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 GPUaaS. Cloud service providers in this region, including major players like Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP), have been actively offering GPU instances to satisfy this demand. GPUaaS enables businesses and researchers to scale their computational capabilities as needed, optimizing efficiency and cost-effectiveness by providing on-demand access to powerful GPU resources.

The Asia Pacific region is anticipated to grow with the fastest CAGR of 22.0% from 2023 to 2030. The convergence of increasing computational demands and the proliferation of GPU-intensive applications have contributed to the remarkable growth of GPUaaS in Asia Pacific, empowering organizations to innovate, analyze data, and deliver exceptional user experiences. 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.

Key Companies & Market Share Insights

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 collaboration 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. Some prominent players in the global GPU as a service (GPUaaS) market include:

• Amazon Web Services (AWS)

• Arm Holding PLC

• Fujitsu Ltd

• HCL Technologies

• IBM Corporation

• Intel Corporation

• Microsoft Corporation

• NVIDIA Corporation

• Oracle Corporation

• Qualcomm Technologies, Inc.

GPU As A Service (GPUaaS) Market Report Scope

Global GPU As A Service (GPUaaS) Market Report Segmentation

This report forecasts revenue growth on global, regional, and country levels and provides an analysis of the industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the GPU as a service (GPUaaS) Market report based on component, pricing model, organization size, industry vertical, and region:

• Component Outlook (Revenue, USD Million, 2017 - 2030)

  • Solution

  • Services

• Pricing Model Outlook (Revenue, USD Million, 2017 - 2030)

  • Pay-per-use

  • Subscription-based plans

• Organization Size Outlook (Revenue, USD Million, 2017 - 2030)

  • Large Size Organization

  • Small & Medium Size Organizations

• Industry Vertical Outlook (Revenue, USD Million, 2017 - 2030)

  • BFSI

  • Media and Entertainment

  • IT & Telecommunication

  • Healthcare

  • Gaming

  • Automotive Industry

  • Others

• Regional Outlook (Revenue, USD Million, 2017 - 2030)

  • North America

    • U.S.

    • Canada

  • Europe

    • UK

    • Germany

    • France

  • Asia Pacific

    • China

    • Japan

    • India

    • South Korea

    • Australia

  • Latin America

    • Brazil

    • Mexico

  • Middle East and Africa

    • KSA

    • UAE

    • South Africa