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GPUaaS Market size to cross $80 Bn by 2032

  • Published Date: March 6, 2023

GPU as a Service (GPUaaS) Market size is anticipated to surpass USD 80 billion by 2032, according to a new research report by Global Market Insights Inc.

The rise in demand for smart TV and smartwatches across Asia Pacific countries will support the market demand. Devices like smart TVs and smartwatches require powerful GPUs to enable smooth and seamless display of high-quality animations and visuals. The rising number of smartphone users will fuel the demand for these devices as per studies, the number of mobile users in the U.S. was 248 million people in 2021 and this number is growing each day. The demand for GPU as a service will continue to increase as they provide the required computational capacity to support these devices.

Rising dependence on management services

The GPUaaS market from service segment is predicted to witness over 30% CAGR from 2023 to 2032. The rising need for high-performance computing resources across numerous sectors is fostering market development. Many businesses are employing cloud-based managed services for remote monitoring and administration of computing equipment. Organizations are highly dependent on managed services to maintain their business infrastructure efficiently and to concentrate on their core business operations.

Increasing adoption of the PaaS model

GPU as a Service market from private delivery model segment is estimated to exceed USD 10 billion by 2032. The growing popularity of the PaaS model and the emphasis on streamlining application management are set to drive segment growth. This approach has multiple advantages, including more agility, a quicker time to market, and cost savings. These are increasingly being adopted by different commercial companies to reduce business and technical risks and improve operational efficiency while easing infrastructural challenges.

Browse key industry insights spread across 280 pages with 334 market data tables and 34 figures & charts from the report, “GPU as a Service (GPUaaS) Market Size By Product (Software [Computer-aided Design (CAD)/Computer-aided Manufacturing (CAM), Simulation, Imaging, Digital Video, Modeling and Animation], Services [Managed Services, Updates & Maintenance, Compliance & Security]), By Application (Gaming, Design and Manufacturing, Automotive, Real Estate, Healthcare), By Service Model (SaaS, IaaS, PaaS), By Delivery Model (Public, Private, Hybrid), COVID-19 Impact Analysis, Regional Outlook, Application Potential, Competitive Market Share & Forecast, 2023 – 2032” in detail along with the table of contents:


Rising uptake of GPUaaS for design and manufacturing sector

The design and manufacturing segment will reach USD 15 billion by 2032. The development of next-generation products and devices requires the need for innovative solutions. As design technicians employ simulation and analysis tools in the designing process, the demand for GPUaaS is poised to rise. It allows designers to render their models in a more realistic way. Companies in the industrial sector have also started using high-performance GPUaaS solutions to create and develop 3D models.

 Robust consumer electronic sector in APAC

Asia Pacific GPUaaS market accounted for 35% revenue share in 2022. The expansion of the regional market is linked to countries like India and China as they have large marketplaces for consumer electronics. In January 2023, the average weekly smartphone sale in China reached 6.7 million units which was higher than the 5.5 million units in 2022. It is projected that there will be greater prospects for the creation of innovative consumer electronics items due to the growing tech-savvy population and a shift toward a healthy & fit lifestyle.

Presence of key players in the global GPU as a service industry

Companies operating in the GPU as a service market include AWS, Dassault Systems, Inc., IBM Corporation, NVIDIA Corporation, Google LLC, Intel Corporation, Penguin Computing Inc., Microsoft Corp., Nimbix, Inc., Qualcomm Technologies, Inc., Advanced Micro Devices (AMD) and ScaleMatrix Holdings, Inc. Companies are working on developing new products, strategies, mergers, and acquisitions to expand their market presence. In July 2022, NVIDIA released the most recent Nemo Megatron language model, which shortens training time by 30%. The new version has been modified which includes two ground-breaking technologies and a hyperparameter tool. This enhances the training data used for multiple GPU training and makes model deployment easier and much faster.

Authors: Preeti Wadhwani, Aayush Jain

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