GPU as a Service Market Size, Share, Growth Report 2030

GPU as a Service Market

GPU as a Service Market By Delivery Model (Private Cloud, Public Cloud, and Hybrid Cloud), By Component (Services and Software), By Application (Real Estate, Gaming, Automotive, Healthcare, and Others), and By Region - Global and Regional Industry Overview, Market Intelligence, Comprehensive Analysis, Historical Data, and Forecasts 2023 – 2030

Category: Technology & Media Report Format : PDF Pages: 199 Report Code: ZMR-5409 Published Date: Apr-2023 Status : Published
Market Size in 2022 Market Forecast in 2030 CAGR (in %) Base Year
USD 2.31 Billion USD 28.7 Billion 28.78% 2022

Industry Prospective:

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.

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GPU as a Service Market: Overview

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.

Key Insights: 

  • As per the analysis shared by our research analyst, the global GPU as a service market is estimated to grow annually at a CAGR of around 28.78% over the forecast period (2023-2030)
  • In terms of revenue, the global GPU as a service market size was valued at around USD 2.31 billion in 2022 and is projected to reach USD 28.7 billion, by 2030.
  • The GPU as a service market is projected to grow at a significant rate due to the increasing demand for machine learning (ML) and artificial intelligence (AI)
  • Based on application segmentation, healthcare was predicted to show maximum market share in the year 2022
  • Based on delivery model segmentation, the public cloud was the leading model in 2022
  • On the basis of region, North America was the leading revenue generator in 2022

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GPU as a Service Market: Growth Drivers

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.

GPU as a Service Market: Restraints

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.

GPU as a Service Market: Opportunities

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.

GPU as a Service Market: Challenges

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.

GPU as a Service Market: Segmentation

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.

Recent Developments:

  • In March 2023, Nvidia announced its partnership with technical giants like Oracle Cloud, Google Cloud, and Microsoft Azure amongst others to allow its AI supercomputer to be available for use as a cloud service. The new offering is called Nvidia DGX Cloud and its users can directly access its AI supercomputers
  • In October 2022, Intel announced the launch of data center GPUs that are specifically designed to act as a power source for cloud computing based on Android systems. The company rolled out Intel Arc 770 priced at $329 and data center for gaming computers falling in the mid-range
  • In September 2022, Nvidia announced the launch of Omniverse cloud services in over 100 nations, and the new launch is expected to power the metaverse. It is currently being used by more than 700 enterprises

GPU as a Service Market: Report Scope

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

GPU as a Service Market: Regional Analysis

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.

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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.

GPU as a Service Market: Competitive Analysis

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
  • Linode.

The global GPU as a service market is segmented as follows:

By Delivery Model

  • Private Cloud
  • Public Cloud
  • Hybrid Cloud

By Component

  • Services
  • Software

By Application

By Region

  • North America
    • The U.S.
    • Canada
  • Europe
    • France 
    • The UK
    • Spain
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Middle East & Africa

 

Table Of Content

Methodology

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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