GPU as a Service（GPUaaS）市場：企業評価レポート　2025年 – ミニレポートシリーズ

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Report Overview

The GPU as a Service Companies Quadrant is a comprehensive industry analysis that provides valuable insights into the global market for GPU as a Service. This quadrant offers a detailed evaluation of key market players, technological advancements, product innovations, and emerging trends shaping the industry. MarketsandMarkets 360 Quadrants evaluated over 100 companies, of which the Top 14 GPU as a Service Companies were categorized and recognized as the quadrant leaders.

GPU as a service (GPUaaS) refers to a cloud-based offering that provides users with remote access to high-performance graphics processing units (GPUs) via the internet. Instead of investing in costly GPU hardware, businesses and developers can rent GPU capacity on-demand to perform computationally intensive tasks, including artificial intelligence (AI), machine learning, gaming, and video rendering. By adopting a pay-as-you-go cloud model, GPUaaS enables enterprises to scale operations flexibly and cost-effectively without the need for substantial upfront infrastructure investments. This model is particularly valuable for companies seeking GPU acceleration capabilities without maintaining physical hardware.

The growing adoption of AI and ML technologies across sectors such as healthcare, financial services, automotive, and media & entertainment is the key driver for GPUaaS demand. These applications often require significant computing resources for model training, real-time inference, and complex data processing—making cloud-based GPU solutions an optimal fit. In addition, industries including gaming, virtual reality (VR), augmented reality (AR), and 3D content creation are leveraging GPUaaS to enhance graphics performance and user engagement. This report segments the GPU as a service market based on service model, GPU type, deployment, enterprise size, and application, analyzing each across four major regions covered in the study.

Key growth drivers for the GPU as a service market include the rising demand for cloud-based AI and ML processing, the need for affordable GPU options for businesses, and the accelerating adoption of GPUaaS in gaming and virtualization use cases. However, market growth is being restrained by limited access to high-end GPU units due to ongoing supply chain challenges.

The 360 Quadrant maps the GPU as a Service companies based on criteria such as revenue, geographic presence, growth strategies, investments, and sales strategies for the market presence of the GPU as a Service quadrant. The top criteria for product footprint evaluation included By Service Model IAAS and PAAS), By Type (High-End GPUs, Mid-Range GPUs and Entry-Level GPUs), By Development (Public Cloud, Private Cloud and Hybrid Cloud), By Enterprise Type (Large Enterprises and SMEs) and By Application (AL & ML, HPC, Media and Entertainment and other applications).

Key Players

Key players in the GPU as a Service market include major global corporations and specialized innovators such as AMAZON WEB SERVICES, INC., MICROSOFT, GOOGLE, ORACLE, IBM, COREWEAVE, ALIBABA CLOUD, LAMBDA, TENCENT CLOUD, and JARVISLABS.AI. These companies are actively investing in research and development, forming strategic partnerships, and engaging in collaborative initiatives to drive innovation, expand their global footprint, and maintain a competitive edge in this rapidly evolving market.

Top 3 Companies

Amazon Web Services, Inc.
Amazon Web Services, Inc. (AWS), a subsidiary of Amazon.com, is a dominant force in the GPUaaS sector, offering a comprehensive range of GPU-enabled cloud services. Its GPU instances support a wide variety of workloads—from AI/ML applications to graphics-intensive tasks. Utilizing advanced GPUs like the NVIDIA T4, A100, and Blackwell B100, AWS ensures efficient scaling and processing of machine learning tasks. Its global infrastructure and ongoing innovation efforts reinforce AWS’s strong market leadership.

Microsoft

Microsoft plays a pivotal role in the GPUaaS market through its Azure cloud services. Azure’s NV and ND series are purpose-built for performance-heavy operations like AI training and large-scale data analysis. Collaborations with NVIDIA to integrate cutting-edge GPU technologies have elevated Microsoft’s capabilities in supporting demanding AI workflows. Its widespread global network and strategic focus make Microsoft a powerful player in the GPUaaS domain.

Google
Google Cloud is known for delivering high-performance GPU solutions, especially with its A4X virtual machines designed for processing large datasets and solving complex AI problems. Through deep integration with NVIDIA’s latest GPUs, Google provides the speed and reliability needed for advanced AI reasoning. Google’s focus on innovation and scalability continues to strengthen its position in the GPUaaS market.

Table of Contents

1 INTRODUCTION 11
1.1 MARKET DEFINITION 11
1.2 INCLUSIONS AND EXCLUSIONS 11
1.3 STAKEHOLDERS 12
2 EXECUTIVE SUMMARY 13
3 MARKET OVERVIEW 17
3.1 INTRODUCTION 17
3.2 MARKET DYNAMICS 17
3.2.1 DRIVERS 18
3.2.1.1 Surging use of cloud-powered AI, ML, and DL frameworks 18
3.2.1.2 Increasing need for budget-friendly yet high-performance GPU solutions from enterprises 19
3.2.1.3 Growing deployment of GPU as a service model in gaming and virtualization applications 20
3.2.2 RESTRAINTS 21
3.2.2.1 Supply chain bottlenecks and AI demand dynamics 21
3.2.3 OPPORTUNITIES 22
3.2.3.1 Revolutionizing media production workflows 22
3.2.3.2 Increasing investments in AI infrastructure by cloud service providers 23
3.2.3.3 Rise of pure-play GPU companies 23
3.2.4 CHALLENGES 24
3.2.4.1 Managing high power consumption and cooling needs in cloud GPUs 24
3.2.4.2 Confronting security, performance, and scalability challenges in multi-tenant environments 24
3.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 25
3.4 VALUE CHAIN ANALYSIS 25
3.5 ECOSYSTEM ANALYSIS 27
3.6 TECHNOLOGY ANALYSIS 29
3.6.1 KEY TECHNOLOGIES 29
3.6.1.1 Cloud infrastructure and virtualization 29
3.6.1.2 Containerization and orchestration 29
3.6.2 COMPLEMENTARY TECHNOLOGIES 30
3.6.2.1 High-bandwidth memory (HBM3/E) 30
3.6.3 ADJACENT TECHNOLOGIES 30
3.6.3.1 High-performance computing (HPC) 30
3.7 PATENT ANALYSIS 31
3.8 PORTER’S FIVE FORCES ANALYSIS 34
3.8.1 THREAT OF NEW ENTRANTS 35
3.8.2 THREAT OF SUBSTITUTES 36
3.8.3 BARGAINING POWER OF SUPPLIERS 36
3.8.4 BARGAINING POWER OF BUYERS 36
3.8.5 INTENSITY OF COMPETITIVE RIVALRY 36
4 COMPETITIVE LANDSCAPE 37
4.1 INTRODUCTION 37
4.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2023–2025 37
4.3 REVENUE ANALYSIS, 2022–2024 38
4.4 MARKET SHARE ANALYSIS, 2024 39
4.5 COMPANY VALUATION AND FINANCIAL METRICS 42
4.6 BRAND COMPARISON 44
4.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024 45
4.7.1 STARS 45
4.7.2 EMERGING LEADERS 45
4.7.3 PERVASIVE PLAYERS 45
4.7.4 PARTICIPANTS 45
4.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024 47
4.7.5.1 Company footprint 47
4.7.5.2 Region footprint 48
4.7.5.3 Service model footprint 49
4.7.5.4 GPU type footprint 50
4.7.5.5 Deployment footprint 51
4.7.5.6 Enterprise type footprint 52
4.7.5.7 Application footprint 53
4.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024 54
4.8.1 PROGRESSIVE COMPANIES 54
4.8.2 RESPONSIVE COMPANIES 54
4.8.3 DYNAMIC COMPANIES 54
4.8.4 STARTING BLOCKS 54
4.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024 56
4.8.5.1 Detailed list of key startups/SMEs 56
4.8.5.2 Competitive benchmarking of key startups/SMEs 57
4.9 COMPETITIVE SCENARIO 58
4.9.1 PRODUCT LAUNCHES 58
4.9.2 DEALS 60
5 COMPANY PROFILES 62
5.1 KEY PLAYERS 62
5.1.1 AMAZON WEB SERVICES, INC. 62
5.1.1.1 Business overview 62
5.1.1.2 Products/Solutions/Services offered 63
5.1.1.3 Recent developments 64
5.1.1.3.1 Product launches 64
5.1.1.3.2 Deals 65
5.1.1.4 MnM view 65
5.1.1.4.1 Key strengths/Right to win 65
5.1.1.4.2 Strategic choices 65
5.1.1.4.3 Weaknesses/Competitive threats 65
5.1.2 MICROSOFT 66
5.1.2.1 Business overview 66
5.1.2.2 Products/Solutions/Services offered 67
5.1.2.3 Recent developments 69
5.1.2.3.1 Deals 69
5.1.2.4 MnM view 69
5.1.2.4.1 Key strengths/Right to win 69
5.1.2.4.2 Strategic choices 69
5.1.2.4.3 Weaknesses/Competitive threats 69
5.1.3 GOOGLE 70
5.1.3.1 Business overview 70
5.1.3.2 Products/Solutions/Services offered 71
5.1.3.3 Recent developments 72
5.1.3.3.1 Product launches 72
5.1.3.3.2 Deals 72
5.1.3.4 MnM view 73
5.1.3.4.1 Key strengths/Right to win 73
5.1.3.4.2 Strategic choices 73
5.1.3.4.3 Weaknesses/Competitive threats 73
5.1.4 ORACLE 74
5.1.4.1 Business overview 74
5.1.4.2 Products/Solutions/Services offered 75
5.1.4.3 Recent developments 76
5.1.4.3.1 Product launches 76
5.1.4.3.2 Deals 76
5.1.4.4 MnM view 77
5.1.4.4.1 Key strengths/Right to win 77
5.1.4.4.2 Strategic choices 77
5.1.4.4.3 Weaknesses/Competitive threats 77
5.1.5 IBM 78
5.1.5.1 Business overview 78
5.1.5.2 Products/Solutions/Services offered 80
5.1.5.3 Recent developments 80
5.1.5.3.1 Product launches 80
5.1.5.3.2 Deals 81
5.1.5.4 MnM view 82
5.1.5.4.1 Key strengths/Right to win 82
5.1.5.4.2 Strategic choices 82
5.1.5.4.3 Weaknesses/Competitive threats 82
5.1.6 COREWEAVE 83
5.1.6.1 Business overview 83
5.1.6.2 Products/Solutions/Services offered 84
5.1.6.3 Recent developments 85
5.1.6.3.1 Product launches 85
5.1.6.3.2 Deals 86
5.1.6.3.3 Expansions 87
5.1.7 ALIBABA CLOUD 88
5.1.7.1 Business overview 88
5.1.7.2 Products/Solutions/Services offered 88
5.1.7.3 Recent developments 89
5.1.7.3.1 Expansions 89
5.1.8 LAMBDA 90
5.1.8.1 Business overview 90
5.1.8.2 Products/Solutions/Services offered 90
5.1.8.3 Recent developments 91
5.1.8.3.1 Deals 91
5.1.9 TENCENT CLOUD 92
5.1.9.1 Business overview 92
5.1.9.2 Products/Solutions/Services offered 93
5.1.9.3 Recent developments 93
5.1.9.3.1 Expansions 93
5.1.10 JARVISLABS.AI 94
5.1.10.1 Business overview 94
5.1.10.2 Products/Solutions/Services offered 94
5.2 OTHER PLAYERS 95
5.2.1 FLUIDSTACK 95
5.2.2 OVH SAS 96
5.2.3 E2E NETWORKS LIMITED 97
5.2.4 RUNPOD 98
5.2.5 SCALEMATRIX HOLDINGS, INC. 99
5.2.6 VAST.AI 100
5.2.7 ACECLOUD 101
5.2.8 SNOWCELL 102
5.2.9 LINODE LLC 103
5.2.10 YOTTA INFRASTRUCTURE 104
5.2.11 VULTR 105
5.2.12 DIGITALOCEAN, LLC 106
5.2.13 RACKSPACE TECHNOLOGY 107
5.2.14 GCORE 108
5.2.15 NEBIUS B.V. 109
6 APPENDIX 110
6.1 RESEARCH METHODOLOGY 110
6.1.1 RESEARCH DATA 110
6.1.1.1 Secondary data 111
6.1.1.2 Primary data 112
6.1.2 RESEARCH ASSUMPTIONS 112
6.1.3 RESEARCH LIMITATIONS 113
6.1.4 RISK ANALYSIS 113
6.2 COMPANY EVALUATION MATRIX: METHODOLOGY 114
6.3 AUTHOR DETAILS 117

List of Tables

TABLE 1 ROLE OF COMPANIES IN GPU AS A SERVICE ECOSYSTEM 28
TABLE 2 LIST OF PATENTS, 2021–2024 32
TABLE 3 GPU AS A SERVICE MARKET: PORTER’S FIVE FORCES ANALYSIS 35
TABLE 4 GPU AS A SERVICE MARKET: OVERVIEW OF STRATEGIES ADOPTED
BY KEY PLAYERS, JANUARY 2023–MARCH 2025 37
TABLE 5 GPU AS A SERVICE MARKET: DEGREE OF COMPETITION, 2024 40
TABLE 6 GPU AS A SERVICE MARKET: REGION FOOTPRINT 48
TABLE 7 GPU AS A SERVICE MARKET: SERVICE MODEL FOOTPRINT 49
TABLE 8 GPU AS A SERVICE MARKET: GPU TYPE FOOTPRINT 50
TABLE 9 GPU AS A SERVICE MARKET: DEPLOYMENT FOOTPRINT 51
TABLE 10 GPU AS A SERVICE MARKET: ENTERPRISE TYPE FOOTPRINT 52
TABLE 11 GPU AS A SERVICE MARKET: APPLICATION FOOTPRINT 53
TABLE 12 GPU AS A SERVICE MARKET: DETAILED LIST OF KEY STARTUPS/SMES 56
TABLE 13 GPU AS A SERVICE MARKET:
COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES 57
TABLE 14 GPU AS A SERVICE MARKET: PRODUCT LAUNCHES, JANUARY 2023–MARCH 2025 58
TABLE 15 GPU AS A SERVICE MARKET: DEALS, JANUARY 2023–MARCH 2025 60
TABLE 16 AMAZON WEB SERVICES, INC.: COMPANY OVERVIEW 62
TABLE 17 AMAZON WEB SERVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 63
TABLE 18 AMAZON WEB SERVICES, INC.: PRODUCT LAUNCHES 64
TABLE 19 AMAZON WEB SERVICES, INC.: DEALS 65
TABLE 20 MICROSOFT: COMPANY OVERVIEW 66
TABLE 21 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED 67
TABLE 22 MICROSOFT: DEALS 69
TABLE 23 GOOGLE: COMPANY OVERVIEW 70
TABLE 24 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 71
TABLE 25 GOOGLE: PRODUCT LAUNCHES 72
TABLE 26 GOOGLE: DEALS 72
TABLE 27 ORACLE: COMPANY OVERVIEW 74
TABLE 28 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 75
TABLE 29 ORACLE: PRODUCT LAUNCHES 76
TABLE 30 ORACLE: DEALS 76
TABLE 31 IBM: COMPANY OVERVIEW 78
TABLE 32 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED 80
TABLE 33 IBM: PRODUCT LAUNCHES 80
TABLE 34 IBM: DEALS 81
TABLE 35 COREWEAVE: COMPANY OVERVIEW 83
TABLE 36 COREWEAVE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 84
TABLE 37 COREWEAVE: PRODUCT LAUNCHES 85
TABLE 38 COREWEAVE: DEALS 86
TABLE 39 COREWEAVE: EXPANSIONS 87
TABLE 40 ALIBABA CLOUD: COMPANY OVERVIEW 88
TABLE 41 ALIBABA CLOUD: PRODUCTS/SOLUTIONS/SERVICES OFFERED 88
TABLE 42 ALIBABA CLOUD: EXPANSIONS 89
TABLE 43 LAMBDA: COMPANY OVERVIEW 90
TABLE 44 LAMBDA: PRODUCTS/SOLUTIONS/SERVICES OFFERED 90
TABLE 45 LAMBDA: DEALS 91
TABLE 46 TENCENT CLOUD: COMPANY OVERVIEW 92
TABLE 47 TENCENT CLOUD: PRODUCTS/SERVICES/SOLUTIONS OFFERED 93
TABLE 48 TENCENT CLOUD: EXPANSIONS 93
TABLE 49 JARVISLABS.AI: COMPANY OVERVIEW 94
TABLE 50 JARVISLABS.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED 94
TABLE 51 FLUIDSTACK: COMPANY OVERVIEW 95
TABLE 52 OVH SAS: COMPANY OVERVIEW 96
TABLE 53 E2E NETWORKS LIMITED: COMPANY OVERVIEW 97
TABLE 54 RUNPOD: COMPANY OVERVIEW 98
TABLE 55 SCALEMATRIX HOLDINGS, INC.: COMPANY OVERVIEW 99
TABLE 56 VAST.AI: COMPANY OVERVIEW 100
TABLE 57 ACECLOUD: COMPANY OVERVIEW 101
TABLE 58 SNOWCELL: COMPANY OVERVIEW 102
TABLE 59 LINODE LLC: COMPANY OVERVIEW 103
TABLE 60 YOTTA INFRASTRUCTURE: COMPANY OVERVIEW 104
TABLE 61 VULTR: COMPANY OVERVIEW 105
TABLE 62 DIGITALOCEAN, LLC: COMPANY OVERVIEW 106
TABLE 63 RACKSPACE TECHNOLOGY: COMPANY OVERVIEW 107
TABLE 64 GCORE: COMPANY OVERVIEW 108
TABLE 65 NEBIUS B.V.: COMPANY OVERVIEW 109
TABLE 66 GPU AS A SERVICE MARKET: RESEARCH ASSUMPTIONS 112
TABLE 67 GPU AS A SERVICE MARKET: RISK ANALYSIS 113

List of Figures

FIGURE 1 HIGH-END GPUS SEGMENT TO HOLD LARGEST MARKET SHARE IN 2030 14
FIGURE 2 IAAS SEGMENT TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD 14
FIGURE 3 PUBLIC CLOUD SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2030 15
FIGURE 4 AI & ML SEGMENT TO REGISTER HIGHEST CAGR BETWEEN 2025 AND 2030 15
FIGURE 5 ASIA PACIFIC TO EXHIBIT HIGHEST CAGR IN
GPU AS A SERVICE MARKET FROM 2025 TO 2030 16
FIGURE 6 GPU AS A SERVICE MARKET: DRIVERS, RESTRAINTS,
OPPORTUNITIES, AND CHALLENGES 17
FIGURE 7 GPU AS A SERVICE MARKET: IMPACT ANALYSIS OF DRIVERS 18
FIGURE 8 GPU AS A SERVICE MARKET: IMPACT ANALYSIS OF RESTRAINTS 21
FIGURE 9 GPU AS A SERVICE MARKET: IMPACT ANALYSIS OF OPPORTUNITIES 22
FIGURE 10 GPU AS A SERVICE MARKET: IMPACT ANALYSIS OF CHALLENGES 24
FIGURE 11 TRENDS/DISRUPTIONS INFLUENCING CUSTOMER BUSINESS 25
FIGURE 12 GPU AS A SERVICE MARKET: VALUE CHAIN ANALYSIS 26
FIGURE 13 GPU AS A SERVICE ECOSYSTEM ANALYSIS 27
FIGURE 14 PATENTS APPLIED AND GRANTED, 2014–2024 31
FIGURE 15 GPU AS A SERVICE MARKET: PORTER’S FIVE FORCES ANALYSIS 35
FIGURE 16 GPU AS A SERVICE MARKET: REVENUE ANALYSIS OF
TOP FIVE PLAYERS, 2022–2024 39
FIGURE 17 MARKET SHARE ANALYSIS OF COMPANIES OFFERING
GPU AS A SERVICE SOLUTIONS, 2024 39
FIGURE 18 COMPANY VALUATION 42
FIGURE 19 FINANCIAL METRICS (EV/EBITDA) 43
FIGURE 20 BRAND COMPARISON 44
FIGURE 21 GPU AS A SERVICE MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024 46
FIGURE 22 GPU AS A SERVICE MARKET: COMPANY FOOTPRINT 47
FIGURE 23 GPU AS A SERVICE MARKET: COMPANY EVALUATION MATRIX
(STARTUPS/SMES), 2024 55
FIGURE 24 AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT 63
FIGURE 25 MICROSOFT: COMPANY SNAPSHOT 67
FIGURE 26 GOOGLE: COMPANY SNAPSHOT 71
FIGURE 27 ORACLE: COMPANY SNAPSHOT 75
FIGURE 28 IBM: COMPANY SNAPSHOT 79
FIGURE 29 COREWEAVE: COMPANY SNAPSHOT 84
FIGURE 30 TENCENT CLOUD: COMPANY SNAPSHOT 92
FIGURE 31 GPU AS A SERVICE MARKET: RESEARCH DESIGN 110

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