Market Size in 2022 | Market Forecast in 2030 | CAGR (in %) | Base Year |
---|---|---|---|
USD 2.31 Billion | USD 28.7 Billion | 28.78% | 2022 |
The global GPU as a service market size was worth around USD 2.31 billion in 2022 and is predicted to grow to around USD 28.7 billion by 2030 with a compound annual growth rate (CAGR) of roughly 28.78% between 2023 and 2030.
The report analyzes the global GPU as a service market drivers, restraints/challenges, and the effect they have on the demands during the projection period. In addition, the report explores emerging opportunities in the GPU as a service industry.
GPU as a service (GPUaaS) is a business model in the cloud computing sector that allows users to use graphical positioning units on a rent-basis using pay-per-view features. The GPU as a service industry is growing rapidly due to the rising end-vertical applications of the services including intensive computing tasks, such as deep learning, machine learning, gaming, and data analytics along with scientific computing. The fraternity is run by a range of service providers that are constantly investing in means to upgrade the products and related outcomes.
Some of the key players include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform along with more specific and specialized service providers like Nimbix, Lunacloud, and Paperspace. The suppliers provide access to GPU systems across different frameworks like TensorFlow, Caffe, and PyTorch. During the forecast period, the industry is likely to achieve high growth while having to navigate through roadblocks and certain challenges.
Increasing demand for ML and AI to propel market growth
The global GPU as a service industry is expected to grow owing to the increasing demand for machine learning and AI solutions in the technologically-driven world. These advanced technical features are becoming increasingly popular in revolutionizing the world due to their capabilities to solve complex mathematical and scientific problems. As humankind aims to cross all technical and research boundaries across sectors, AI and ML systems are expected to soon become integral to the economic growth of many nations.
Some factors that are pushing the utilization of these advanced systems include features like personalized customer experience, predictive maintenance, and enabling image or speech recognition. Furthermore, GPUaaS offer tremendous flexibility and scalability since these services can be toned up or down depending on the client's need and the customers have to pay only for the used services.
Existing concerns over vendor lock-in to restrict market expansion
Vendor lock-in is a situation in which the client becomes excessively reliant on a certain service provider, vendor, or technology and hence it becomes difficult for them to switch to other options otherwise they may have to bear significant losses or service disruptions. In the global industry, various companies are now witnessing a rising number of concerns over vendor lock-in and it may restrict industrial growth over the coming years. Furthermore, the adoption of GPUaaS necessitates the use of skilled professionals trained in machine learning, GPU programming, and deep learning. The lack of professionals could limit the growth of the global GPU as a service market.
Growing cloud adoption to provide multiple growth opportunities
As cloud technology is soon taking over the technical or non-technical industries and the trend is expected to continue growing in the coming years, the global industry players are projected to be provided with multiple growth opportunities presenting significant opportunities for GPUaaS providers. As more organizations move their workloads to the cloud for better functionality and performance output, the demand for GPUaaS is expected to increase. In addition to this, growing collaborations between cloud providers, GPUaaS providers, hardware vendors, and software providers could work in the favor of the GPU as a service industry.
Reducing the cost of the services poses a challenge for the market
The services offered in the global GPU as a service industry are highly expensive owing to the complex nature of the devices and the service. The high cost may prohibit certain segments of the potential client group to adopt these computer resources required for the functioning of GPUaaS. In addition to this, the service is not well-performing in on-premises settings and thus has a limited performance scale.
The global GPU as a service market is segmented based on delivery model, component, application, and region.
Based on delivery mode, the global market segments are private cloud, public cloud, and hybrid cloud. During 2022, the highest growth was in the public cloud segment since many companies and small to large organizations moved their workload to public cloud service providers like AWS. As per the Synergy Research Group, the global public cloud market grew by over 35% during 2020. Some factors that contribute to the high segmental growth include higher cost-effectiveness since it is based on a pay-per-view model and scalability. Public cloud providers typically offer high levels of reliability and uptime making them highly efficient.
Based on component, the GPU as a service industry segments are services and software.
Based on application, the global industry is divided into real estate, gaming, automotive, healthcare, and others. As per the recent trend, the healthcare sector is expected to emerge as the highest contributing sector during the forecast period. GPUaaS in healthcare is highly advantageous when used in areas like medical imaging, disease diagnosis, drug discovery, and personalized medicine. The global healthcare AI sector may grow by more than 45% by the end of the decade.
Report Attributes | Report Details |
---|---|
Report Name | GPU as a Service Market Research Report |
Market Size in 2022 | USD 2.31 Billion |
Market Forecast in 2030 | USD 28.7 Billion |
Growth Rate | CAGR of 28.78% |
Number of Pages | 199 |
Key Companies Covered | DigitalOcean, Amazon Web Services (AWS), Oracle Cloud, Microsoft Azure, OVHcloud, Google Cloud, Qarnot Computing, IBM Cloud, Packet, INVIDIA Cloud, Vultr, Scaleway, Igneous, HPE GreenLake, Paperspace, NetApp, Alibaba Cloud, Hetzner, Rescale, and Linode. |
Segments Covered | By Delivery Model, By Component, And By Region |
Regions Covered | North America, Europe, Asia Pacific (APAC), Latin America, Middle East, and Africa (MEA) |
Base Year | 2022 |
Historical Year | 2017 to 2021 |
Forecast Year | 2023 - 2030 |
Customization Scope | Avail customized purchase options to meet your exact research needs. Request For Customization |
North America to generate the highest revenue in coming years
North America is expected to hold the largest share of the global GPU as a service market. The growth may be driven by the growing number of several key players in the region along with the surging rate of cloud technology adoption across small, medium, and large size companies. Rising investments and integration of AI technologies in some of the fastest-growing industries like healthcare, finance, and technology could lead to higher regional revenue.
The United States is expected to dominate the largest part of the regional market mainly due to its existing large and growing economy along with robust technology infrastructure. Growth in Asia-Pacific is expected to be a result of rising investment in technical growth in China and India along with surging interest from already established technical giants in Japan and South Korea. Other regions like Latin America, Africa, and the Middle East are expected to experience moderate growth in the industry.
The global GPU as a service market is home to players like
By Delivery Model
By Component
By Application
By Region
FrequentlyAsked Questions
GPU as a service (GPUaaS) is a business model in the cloud computing sector that allows users to use graphical positioning units on a rent-basis using pay-per-view features.
The global GPU as a service industry is expected to grow owing to the increasing demand for machine learning and AI solutions in the technologically-driven world.
According to study, the global GPU as a service market size was worth around USD 2.31 billion in 2022 and is predicted to grow to around USD 28.7 billion by 2030.
The CAGR value of GPU as a service market is expected to be around 28.78% during 2023-2030.
North America is expected to hold the largest share of the global GPU as a service market.
The global GPU as a service market is home to players like DigitalOcean, Amazon Web Services (AWS), Oracle Cloud, Microsoft Azure, OVHcloud, Google Cloud, Qarnot Computing, IBM Cloud, Packet, INVIDIA Cloud, Vultr, Scaleway, Igneous, HPE GreenLake, Paperspace, NetApp, Alibaba Cloud, Hetzner, Rescale, and Linode.
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