GPU As a Service Market Size, Share, Growth Analysis, By Product(Software, CAD/CAM, Simulation, Imaging), By Service Model(SaaS, PaaS, IaaS), By Delivery Model(Public Cloud, Private Cloud, Hybrid Cloud), By Region - Industry Forecast 2024-2031


Report ID: SQMIG45E2159 | Region: Global | Published Date: March, 2024
Pages: 197 |Tables: 99 |Figures: 76

GPU As a Service Market Insights

Global GPU as a Service Market size was valued at USD 5 billion in 2022 and is poised to grow from USD 6,60 billion in 2023 to USD 60.83 billion by 2031, growing at a CAGR of 32% in the forecast period (2024-2031).

The global GPU as a Service (GPUaaS) market is experiencing rapid expansion, driven by the escalating demand for advanced computing power across diverse industries. This innovative cloud computing model allows businesses to access high-performance GPUs on a flexible pay-as-you-go basis, enabling them to tackle resource-intensive tasks such as artificial intelligence (AI) training, data analytics, and complex simulations. The market is poised to capitalize on the latest trends that are reshaping the technology landscape.

One prevailing trend is the convergence of GPUs with AI and machine learning (ML) frameworks. As AI adoption becomes pervasive, organizations are increasingly relying on GPUs to accelerate training and inference processes. This synergy between AI and GPUs is transforming industries ranging from healthcare, where AI assists in diagnostics, to finance, where GPUs enable rapid analysis of vast datasets. Another significant trend is the rise of hybrid and multi-cloud GPU deployments. Businesses are strategically distributing workloads across on-premises infrastructure, public clouds, and edge devices, optimizing resource utilization and minimizing latency for improved performance.

Market Snapshot - 2024-2031

Global Market Size

USD 5 billion

Largest Segment

SaaS

Fastest Growth

SaaS

Growth Rate

32% CAGR

Global GPU as a Service Market ($ Bn)
Country Share for Asia Pacific Region (%)

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GPU As a Service Market Segmental Analysis

The global GPU as a service market is segmented on the basis of Product, service model, delivery model, application, region. By product, the market is segmented into software, CAD/CAM, simulation, imaging, digital video, modeling & automation, others, service, managed service, updates & maintenance, compliance & Security, Others. By service model, the market is segmented into SaaS, PaaS, IaaS. By delivery model, the market is segmented into public cloud, private cloud, hybrid cloud. By application, the market is segmented into gaming, design & manufacturing, automotive, real estate, healthcare, others. By region, the market is segmented into North America, Europe, Latin America, Asia- Pacific, Middle East and Africa.

GPU As a Service Market Analysis By Service Model

The GPU as a service market share within the Software as a Service (SaaS) segment is on a robust trajectory. This trajectory is largely attributed to the growing strategic emphasis of enterprises towards provisioning SaaS-oriented solutions to their clientele. Notably, a case in point is Nvidia's introduction of the Omniverse Cloud in 2022, marking one of the pioneering SaaS solutions from the company designed specifically for the creation of applications in the emerging realm of the 'metaverse'. It is these strides in the domain of SaaS innovations that are anticipated to significantly bolster the overall revenue generation of the GPU as a service market .

Global GPU as a Service Market By Service Model

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GPU As a Service Market Regional Insights

North America, particularly the United States, has established itself as a prominent technological epicenter and a key player in the realm of GPU as a Service (GPUaaS). The landscape is enriched by the formidable presence of major tech conglomerates, proficient cloud service providers, and enterprising startups, all of which have collaboratively propelled the adoption of GPUaaS solutions. The regional spotlight on cutting-edge domains such as artificial intelligence (AI), machine learning, gaming, and data analytics has substantiated an intensified demand for GPUaaS. The heightened awareness and proactive integration of nascent technologies consistently position North America as an influential stronghold within the expansive realm of GPUaaS offerings

Contrastingly, Europe stands as another significant arena of interest for GPUaaS, particularly within sectors like automotive design, manufacturing, and healthcare. The European business landscape is notably characterized by a pronounced commitment to digital metamorphosis, harmoniously interwoven with an escalating appetite for high-performance computational capabilities. This symbiotic relationship has substantially fueled the assimilation of GPUaaS solutions. Moreover, a pivotal facet within the European context revolves around concerns encompassing data integrity, privacy, and security. Consequently, several European enterprises are exploring GPUaaS avenues as a means to achieve optimal regulatory compliance while simultaneously harnessing the prowess of sophisticated computational capabilities.

The Asia-Pacific region stands as a rapidly evolving technological theater, where nations like China, Japan, and South Korea are orchestrating remarkable strides across a spectrum of industries. This dynamic environment has significantly bolstered the growth of GPUaaS adoption, propelled in no small part by the surge in domains like AI, gaming, and entertainment. The gravitational pull of this transformational era is also being felt in the emerging economies of Southeast Asia. In these vibrant markets, the allure of cloud-based GPU resources has become compelling, offering businesses a cost-effective gateway to formidable computing power.

Global GPU as a Service Market By Geography
  • Largest
  • Fastest

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GPU As a Service Market Dynamics

GPU As a Service Market Drivers

Rise of AI and ML

  • The escalating demand for high-performance computing to support AI and machine learning applications is a significant driver for the GPU as a Service (GPUaaS) market. GPUs' parallel processing capabilities enhance the speed and efficiency of AI model training and inference, compelling businesses to adopt GPUaaS to access this computational power.

Cloud Adoption

  • The growing adoption of cloud computing models by businesses to enhance flexibility and reduce infrastructure costs is driving GPUaaS demand. Cloud-based GPU resources offer scalability and on-demand access, catering to organizations with varying computational needs without significant upfront investments.

Emergence of Virtualization

  • GPU virtualization technology allows multiple users to share a single physical GPU, increasing resource utilization. This trend aligns with the demand for efficient resource allocation and cost-effective solutions, making GPUaaS an attractive option for businesses.

GPU As a Service Market Restraints

Network Latency

  • Real-time applications that heavily rely on GPUs, such as gaming and AR/VR, require low latency. However, network latency can impact the performance of GPUaaS applications, causing challenges for applications that demand immediate response times.

Data Security Concerns

  • Entrusting sensitive data to remote GPU infrastructure raises concerns about data privacy and security. Organizations may hesitate to migrate sensitive workloads to the cloud due to fears of unauthorized access, data breaches, and compliance issues.

Complex Workload Migration

  • Migrating existing applications and workflows to GPUaaS can be complex and time-consuming. Compatibility issues, software adjustments, and learning curves for new platforms may hinder seamless migration.

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GPU As a Service Market Competitive Landscape

The competitive landscape of the global GPU as a Service (GPUaaS) market is characterized by dynamic innovation and fierce rivalry among key players. As of my last knowledge update in September 2021, prominent technology companies, cloud service providers, and specialized startups are vying for market dominance, continually enhancing their offerings to meet the evolving demands of industries.

Leading GPUaaS providers such as NVIDIA, Amazon Web Services (AWS), Google Cloud, and Microsoft Azure have established themselves as major contenders, leveraging their extensive infrastructure and technical prowess to offer high-performance GPU solutions. These industry giants compete not only in terms of computational power but also in providing comprehensive ecosystems, developer tools, and AI integration capabilities.

GPU As a Service Market Top Player’s Company Profiles

  • Microsoft (US)
  • IBM (US)
  • Alibaba Cloud (China)
  • Tencent Cloud (China)
  • Baidu (China)
  • ATOS (France)
  • Fujitsu (Japan)
  • Dell EMC (US)
  • Penguin Computing (US)
  • Nimbix (US)
  • ScaleMatrix (US)
  • Paperspace (US)
  • G-Core Labs (Germany)
  • Sheepdog Computing (US)
  • Anyscale (US)
  • Cerebras Systems (US)
  • Rescale (US)

GPU As a Service Market Recent Developments

  • Amazon Web Services will introduce their high-performance EC2 P4d instances, which are powered by NVIDIA A100 GPUs, in 2023. In the meanwhile, the business declared that it will be working with SageMaker Studio Lab to streamline GPU-based services.

     

  • Spanner for AI, a real-time machine learning tool powered by GPUs, was introduced by Google Cloud Platform in 2023. Additionally, the business revealed that Vertex AI Workbench with GPU integration is now available.

     

  • New NVv4 instances with NVIDIA A100 GPUs for HPC and AI workloads were announced by Microsoft Azure in 2023. Additionally, the business collaborated with Open AI to make its most recent language model accessible.

GPU As a Service Key Market Trends

  • Edge GPUaaS: The trend of extending GPUaaS capabilities to the edge is gaining momentum. Edge GPUaaS enables real-time processing for applications like edge AI, IoT, and remote monitoring, reducing latency and enhancing responsiveness.
  • Specialized GPU Instances: Providers are offering specialized GPU instances optimized for specific workloads, such as AI training, rendering, and scientific simulations. This trend allows users to select GPU configurations tailored to their specific needs.
  • Hybrid Cloud Deployments: Businesses are adopting hybrid cloud strategies that combine on-premises infrastructure with public and private cloud services. This approach optimizes GPU resource allocation, catering to varying computational requirements and data security concerns.

GPU As a Service Market SkyQuest Analysis

SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Product types team that Collects, Collates, Co-relates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.

According to our global GPU as a service market analysis, the global GPU as a Service (GPUaaS) market is undergoing a transformative phase, driven by the relentless demand for high-performance computing across diverse industries. The convergence of GPUs with cutting-edge technologies like AI, machine learning, and edge computing has positioned GPUaaS as a pivotal solution for organizations aiming to accelerate complex tasks and enhance operational efficiency.

Report Metric Details
Market size value in 2022 USD 5 billion
Market size value in 2031 USD 60.83 billion
Growth Rate 32%
Base year 2023
Forecast period 2024-2031
Forecast Unit (Value) USD Billion
Segments covered
  • Product
    • Software, CAD/CAM, Simulation, Imaging, Digital Video, Modeling & Automation, Others, Service, Managed Service, Updates & Maintenance, Compliance & Security, Others
  • Service Model
    • SaaS, PaaS, IaaS
  • Delivery Model
    • Public Cloud, Private Cloud, Hybrid Cloud
Regions covered North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA)
Companies covered
  • Microsoft (US)
  • IBM (US)
  • Alibaba Cloud (China)
  • Tencent Cloud (China)
  • Baidu (China)
  • ATOS (France)
  • Fujitsu (Japan)
  • Dell EMC (US)
  • Penguin Computing (US)
  • Nimbix (US)
  • ScaleMatrix (US)
  • Paperspace (US)
  • G-Core Labs (Germany)
  • Sheepdog Computing (US)
  • Anyscale (US)
  • Cerebras Systems (US)
  • Rescale (US)
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Table Of Content

Executive Summary

Market overview

  • Exhibit: Executive Summary – Chart on Market Overview
  • Exhibit: Executive Summary – Data Table on Market Overview
  • Exhibit: Executive Summary – Chart on GPU As a Service Market Characteristics
  • Exhibit: Executive Summary – Chart on Market by Geography
  • Exhibit: Executive Summary – Chart on Market Segmentation
  • Exhibit: Executive Summary – Chart on Incremental Growth
  • Exhibit: Executive Summary – Data Table on Incremental Growth
  • Exhibit: Executive Summary – Chart on Vendor Market Positioning

Parent Market Analysis

Market overview

Market size

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • SWOT Analysis

KEY MARKET INSIGHTS

  • Technology Analysis
    • (Exhibit: Data Table: Name of technology and details)
  • Pricing Analysis
    • (Exhibit: Data Table: Name of technology and pricing details)
  • Supply Chain Analysis
    • (Exhibit: Detailed Supply Chain Presentation)
  • Value Chain Analysis
    • (Exhibit: Detailed Value Chain Presentation)
  • Ecosystem Of the Market
    • Exhibit: Parent Market Ecosystem Market Analysis
    • Exhibit: Market Characteristics of Parent Market
  • IP Analysis
    • (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
  • Trade Analysis
    • (Exhibit: Data Table: Import and Export data details)
  • Startup Analysis
    • (Exhibit: Data Table: Emerging startups details)
  • Raw Material Analysis
    • (Exhibit: Data Table: Mapping of key raw materials)
  • Innovation Matrix
    • (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
  • Pipeline product Analysis
    • (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
  • Macroeconomic Indicators

COVID IMPACT

  • Introduction
  • Impact On Economy—scenario Assessment
    • Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
  • Revised Market Size
    • Exhibit: Data Table on GPU As a Service Market size and forecast 2021-2027 ($ million)
  • Impact Of COVID On Key Segments
    • Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
  • COVID Strategies By Company
    • Exhibit: Analysis on key strategies adopted by companies

MARKET DYNAMICS & OUTLOOK

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • Regulatory Landscape
    • Exhibit: Data Table on regulation from different region
  • SWOT Analysis
  • Porters Analysis
    • Competitive rivalry
      • Exhibit: Competitive rivalry Impact of key factors, 2021
    • Threat of substitute products
      • Exhibit: Threat of Substitute Products Impact of key factors, 2021
    • Bargaining power of buyers
      • Exhibit: buyers bargaining power Impact of key factors, 2021
    • Threat of new entrants
      • Exhibit: Threat of new entrants Impact of key factors, 2021
    • Bargaining power of suppliers
      • Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
  • Skyquest special insights on future disruptions
    • Political Impact
    • Economic impact
    • Social Impact
    • Technical Impact
    • Environmental Impact
    • Legal Impact

Market Size by Region

  • Chart on Market share by geography 2021-2027 (%)
  • Data Table on Market share by geography 2021-2027(%)
  • North America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • USA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Canada
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Europe
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Germany
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Spain
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • France
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • UK
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Europe
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Asia Pacific
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • China
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • India
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Japan
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Korea
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Asia Pacific
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Latin America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Brazil
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of South America
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Middle East & Africa (MEA)
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • GCC Countries
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Africa
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of MEA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)

KEY COMPANY PROFILES

  • Competitive Landscape
    • Total number of companies covered
      • Exhibit: companies covered in the report, 2021
    • Top companies market positioning
      • Exhibit: company positioning matrix, 2021
    • Top companies market Share
      • Exhibit: Pie chart analysis on company market share, 2021(%)

Methodology

For the GPU As a Service Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:

1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.

2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the GPU As a Service Market.

3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.

4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.

Analyst Support

Customization Options

With the given market data, our dedicated team of analysts can offer you the following customization options are available for the GPU As a Service Market:

Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.

Regional Analysis: Further analysis of the GPU As a Service Market for additional countries.

Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.

Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.

Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.

Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.

Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.

Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.

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FAQs

Global GPU as a Service Market size was valued at USD 5 billion in 2022 and is poised to grow from USD 6,60 billion in 2023 to USD 60.83 billion by 2031, growing at a CAGR of 32% in the forecast period (2024-2031).

The competitive landscape of the global GPU as a Service (GPUaaS) market is characterized by dynamic innovation and fierce rivalry among key players. As of my last knowledge update in September 2021, prominent technology companies, cloud service providers, and specialized startups are vying for market dominance, continually enhancing their offerings to meet the evolving demands of industries. 'NVIDIA (US)', 'Amazon Web Services (US)', 'Microsoft (US)', 'Google Cloud (US)', 'IBM (US)', 'Alibaba Cloud (China)', 'Tencent Cloud (China)', 'Baidu (China)', 'ATOS (France)', 'Fujitsu (Japan)', 'Dell EMC (US)', 'Penguin Computing (US)', 'Nimbix (US)', 'ScaleMatrix (US)', 'Paperspace (US)', 'G-Core Labs (Germany)', 'Sheepdog Computing (US)', 'Anyscale (US)', 'Cerebras Systems (US)', 'Rescale (US)'

The escalating demand for high-performance computing to support AI and machine learning applications is a significant driver for the GPU as a Service (GPUaaS) market. GPUs' parallel processing capabilities enhance the speed and efficiency of AI model training and inference, compelling businesses to adopt GPUaaS to access this computational power.

Edge GPUaaS: The trend of extending GPUaaS capabilities to the edge is gaining momentum. Edge GPUaaS enables real-time processing for applications like edge AI, IoT, and remote monitoring, reducing latency and enhancing responsiveness.

North America, particularly the United States, has established itself as a prominent technological epicenter and a key player in the realm of GPU as a Service (GPUaaS). The landscape is enriched by the formidable presence of major tech conglomerates, proficient cloud service providers, and enterprising startups, all of which have collaboratively propelled the adoption of GPUaaS solutions. The regional spotlight on cutting-edge domains such as artificial intelligence (AI), machine learning, gaming, and data analytics has substantiated an intensified demand for GPUaaS. The heightened awareness and proactive integration of nascent technologies consistently position North America as an influential stronghold within the expansive realm of GPUaaS offerings

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