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 & Securi

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

Global GPU as a Service Market is slated to grow substantially through 2032 credited to the growing transition of organizations from on-premises data centers to cloud platforms. The population is expected to become more tech-savvy and adopt a fitter, healthier lifestyle, which will increase the prospects for the production of consumer electronic devices, in turn fueling the demand for GPU as a service.

Leading companies in the market are working on developing long-term partnerships to introduce devices that are easily accessible and offer reliable service. For instance, in October 2022, Ansys launched Ansys Gateway through Amazon Web Services. This service enables the customers to use Ansys products in a customized workspace on AWS, making it easier to acquire scalable and quick technical solutions. To increase the accessibility of simulation software, Ansys Gateway powered by Amazon allows access to Ansys apps & higher processing resources on the cloud.

The GPU as a Service market has been divided in terms of product, service model, delivery model, application, and region.

Based on service model, the IaaS segment is speculated to grow at 35% CAGR from 2023 to 2032 attributed to the significant rise of the IaaS service model due to its additional advantages such as providing basic compute, network, and storage capabilities to customers on demand, through the internet, as well as on a pay-as-you-go basis.

With respect to the delivery model, the hybrid segment is projected to expand significantly over the review timeline. The hybrid model allows users to maintain an ideal balance between features and cost to support the lucrative enterprise implementation of GPUaaS. This along with flexibility, easy to use, and more are some of the other benefits provided by the hybrid model, which will in turn foster the segmental growth.

Considering the application, the automotive sector is anticipated to foresee tremendous use of GPU as a service. This can be credited to the product’s ability to display and power the ADAS feature that come as a standard in the cars manufactured today.

From the regional outlook, the Latin America GPU as a Service market is poised to hold over USD 3.5 billion market share by 2032. One of the main factors supporting the growth of the GPU as a Service market in Latin America is the huge rise in the usage of cloud infrastructure along with industrial internet of things (IIoT) solutions. Demand for GPU as a Service has been expanding quickly as more firms adopt these solutions to boost their operational effectiveness and acquire a competitive edge.