세계의 GPUaaS(GPU As A Service) 시장 예측(-2030년) : 서비스 모델별, GPU 유형별, 배포별, 기업 유형별, 용도별, 지역별

The GPU as a Service market is expected to be worth USD 8.21 billion in 2025 and is estimated to reach USD 26.62 billion by 2030, growing at a CAGR of 26.5% between 2025 and 2030. The growth of the GPU as a Service market is driven by increasing demand for high-performance GPUs in video rendering, 3D content creation, and real-time applications. Industries like gaming, film production, and architecture require scalable and cost-effective GPU solutions for complex visual effects (VFX) and simulations. GPUaaS eliminates the need for expensive on-premises GPU clusters, providing on-demand access to cloud resources. Additionally, the rise of real-time rendering engines like Unreal Engine 5 and AI-driven content generation further accelerates market growth, enabling immersive virtual experiences and reducing production timelines for studios, developers, and content creators.

"High-end GPU segment to have highest CAGR in the forecasted timeline."

The high-end GPU segment will witness a rapid growth in the GPU as a Service market driven by increasing requirement for accelerated computation in AI, ML, and complicated simulations. High-end GPUs like NVIDIA's H100 Tensor Core GPUs and AMD's Instinct MI300X provide immense computing capabilities making them suitable to train large language models (LLMs) and generative AI applications. For example, Amazon Web Services (AWS) provides EC2 UltraClusters with NVIDIA H100 GPUs to support trillion-parameter AI models. Similarly, Microsoft Azure and Google Cloud integrate high-end GPUs to provide scalable AI infrastructure for enterprises.The film and gaming industries are also contributing to this growth, using high-end GPUs for real-time rendering, special effects (VFX), and immersive virtual experiences. Platforms such as Epic Games' Unreal Engine 5 utilize GPUaaS for photorealistic virtual productions. Also, sectors such as healthcare and scientific research utilize GPUaaS for drug discovery and medical imaging analysis. With increased adoption of AI across industries, businesses opt for high-end GPUs to address growing computational needs. The flexible pay-as-you-go cloud model provides greater access to such powerful assets, further increasing the growth of the high-end GPU segment.

"By Enterprise Type- Large Enterprises segment will hold largest market share of GPU as a Service market in 2030"

The large enterprise segment will hold the highest market share within the GPU as a Service market given their high computing requirements and widespread AI deployment. Multinational conglomerates, Fortune 500 firms and industry titans from sectors such as healthcare, finance, automotive, and media utilize GPUaaS for AI applications such as medical imaging, drug discovery, fraud detection, and real-time analytics to a large extent. The need for scalable GPU resources to manage complex workloads, including large language model (LLM) training and algorithmic trading, drives this growth. Cloud service providers offer tailored solutions with dedicated GPU clusters, high-bandwidth networking, and enterprise-grade security to meet the customization needs of large enterprises. In addition, the scalability of multi-cloud and hybrid cloud deployments allows companies to optimize costs while ensuring low latency and high availability. Enterprises benefit from long-term contracts, constructing predictable GPU usage costs and gaining access to the latest GPU technology. Industries with mission-critical applications often allocate dedicated GPU resources for activities such as autonomous car development and financial modeling. With increasing AI adoption and rising dependence on data-driven decisions, the large corporations will continue to rule the GPUaaS market, leveraging its flexibility and cost-effectiveness for scalable computing.

"Asia Pacific is expected to hold high CAGR in during the forecast period."

Asia Pacific is expected to grow significantly in the GPU as a Service market as a result of accelerating growth in cloud computing, rising adoption of AI, and heavy investments in data center infrastructure. The growth is being led by China, Japan, South Korea, and India through government initiatives, private investment, and technological innovations. For instance, In May 2023, the Chinese government made plans to construct AI industrial bases, driving AI research. Moreover, policies such as the Shenzhen AI Regulation support AI adoption by pushing public data sharing and corporate innovation. Japan is seeing huge investments in AI infrastructure. Microsoft invested USD 2.9 billion in Japan's cloud and AI infrastructure in April 2024, and Oracle pledged USD 8 billion to build cloud data centers. These projects give businesses access to scalable GPU capacity for AI applications. India is also moving ahead with GPUaaS adoption with its IndiaAI initiative. In March 2024, the Indian government sanctioned USD 124 billion in investments to deploy more than 10,000 GPUs, enabling AI research and startups. These strategic investments and efforts make Asia Pacific a high-growth region in the GPUaaS market.

Extensive primary interviews were conducted with key industry experts in the GPU as a Service market space to determine and verify the market size for various segments and subsegments gathered through secondary research. The break-up of primary participants for the report has been shown below: The study contains insights from various industry experts, from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows:

• By Company Type: Tier 1 - 60%, Tier 2 - 20%, and Tier 3 - 20%
• By Designation: Managers - 50%, Directors - 20%, and Others - 30%
• By Region: North America - 40%, Europe - 10%, Asia Pacific - 30%, and RoW - 20%

The report profiles key players in the GPU as a Service market with their respective market ranking analysis. Prominent players profiled in this report are Amazon web Servies, Inc. (US), Microsoft (US), Google (US), Oracle (US), IBM (US), Coreweave (US), Alibaba Cloud (China), Lambda (US), Tencent Cloud (China), Jarvislabs.ai (India), among others.

Apart from this, Fluidstack (UK), OVH SAS (France), E2E Networks Limited (India), RunPod (US), ScaleMatrix Holdings, Inc. (US), Vast.ai (US), AceCloud (India), Snowcell (Norway), Linode LLC. (US), Yotta Infrastructure (India), VULTR (US), DigitalOcean, LLC. (US), Rackspace Technology (US), Gcore (Luxembourg), and Nebius B.V. (Amsterdam), are among a few emerging companies in the GPU as a Service market.

Research Coverage: This research report categorizes the GPU as a Service market based on service model, GPU type, business model, deployment, enterprise type, application, and region. The report describes the major drivers, restraints, challenges, and opportunities pertaining to the GPU as a Service market and forecasts the same till 2030. Apart from these, the report also consists of leadership mapping and analysis of all the companies included in the GPU as a Service ecosystem.

Key Benefits of Buying the Report The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall GPU as a Service market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

• Analysis of key drivers (growing demand for cloud-based AI and ML workloads fueling the growth of the GPUaaS market, Increasing need for cost-effective GPU solutions for enterprises, and growing adoption of GPUaaS in gaming and virtualization) influencing the growth of the GPU as a Service market.
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the GPU as a Service market.
• Market Development: Comprehensive information about lucrative markets - the report analysis the GPU as a Service market across varied regions
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the GPU as a Service market
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players like Amazon web Servies, Inc. (US), Microsoft (US), Google (US), Oracle (US), IBM (US), among others in the GPU as a Service market.

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
• 1.3 STUDY SCOPE
  • 1.3.1 MARKETS COVERED AND REGIONAL SCOPE
  • 1.3.2 INCLUSIONS AND EXCLUSIONS
  • 1.3.3 YEARS CONSIDERED
• 1.4 CURRENCY CONSIDERED
• 1.5 LIMITATIONS
• 1.6 STAKEHOLDERS

2 RESEARCH METHODOLOGY

• 2.1 RESEARCH DATA
  • 2.1.1 SECONDARY AND PRIMARY RESEARCH
  • 2.1.2 SECONDARY DATA
    • 2.1.2.1 List of key secondary sources
    • 2.1.2.2 Key data from secondary sources
  • 2.1.3 PRIMARY DATA
    • 2.1.3.1 List of primary interview participants
    • 2.1.3.2 Breakdown of primaries
    • 2.1.3.3 Key data from primary sources
    • 2.1.3.4 Key industry insights
• 2.2 MARKET SIZE ESTIMATION METHODOLOGY
  • 2.2.1 TOP-DOWN APPROACH
    • 2.2.1.1 Approach to arrive at market size using top-down analysis (supply side)
  • 2.2.2 BOTTOM-UP APPROACH
    • 2.2.2.1 Approach to arrive at market size using bottom-up analysis (demand side)
• 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
• 2.4 RESEARCH ASSUMPTIONS
• 2.5 RESEARCH LIMITATIONS
• 2.6 RISK ANALYSIS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

• 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN GPU AS A SERVICE MARKET
• 4.2 GPU AS A SERVICE MARKET, BY GPU TYPE
• 4.3 GPU AS A SERVICE MARKET, BY ENTERPRISE TYPE
• 4.4 GPU AS A SERVICE MARKET, BY APPLICATION
• 4.5 GPU AS A SERVICE MARKET IN ASIA PACIFIC, BY APPLICATION AND COUNTRY
• 4.6 GPU AS A SERVICE MARKET, BY COUNTRY

5 MARKET OVERVIEW

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS
  • 5.2.1 DRIVERS
    • 5.2.1.1 Surging use of cloud-powered AI, ML, and DL frameworks
    • 5.2.1.2 Increasing need for budget-friendly yet high-performance GPU solutions from enterprises
    • 5.2.1.3 Growing deployment of GPU as a service model in gaming and virtualization applications
  • 5.2.2 RESTRAINTS
    • 5.2.2.1 Supply chain bottlenecks and AI demand dynamics
  • 5.2.3 OPPORTUNITIES
    • 5.2.3.1 Revolutionizing media production workflows
    • 5.2.3.2 Increasing investments in AI infrastructure by cloud service providers
    • 5.2.3.3 Rise of pure-play GPU companies
  • 5.2.4 CHALLENGES
    • 5.2.4.1 Managing high power consumption and cooling needs in cloud GPUs
    • 5.2.4.2 Confronting security, performance, and scalability challenges in multi-tenant environments
• 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.4 PRICING ANALYSIS
  • 5.4.1 INDICATIVE PRICING OF GPU TYPES, BY KEY PLAYER, 2024
  • 5.4.2 INDICATIVE PRICING OF GPU TYPES, 2024
  • 5.4.3 AVERAGE SELLING PRICE TREND OF HIGH-END GPUS, BY REGION, 2021-2024
  • 5.4.4 AVERAGE SELLING PRICE TREND OF MID-RANGE GPUS, BY REGION, 2021-2024
  • 5.4.5 AVERAGE SELLING PRICE TREND OF ENTRY-LEVEL GPU TYPE, BY REGION, 2021-2024
• 5.5 VALUE CHAIN ANALYSIS
• 5.6 ECOSYSTEM ANALYSIS
• 5.7 TECHNOLOGY ANALYSIS
  • 5.7.1 KEY TECHNOLOGIES
    • 5.7.1.1 Cloud infrastructure and virtualization
    • 5.7.1.2 Containerization and orchestration
  • 5.7.2 COMPLEMENTARY TECHNOLOGIES
    • 5.7.2.1 High-bandwidth memory (HBM3/E)
  • 5.7.3 ADJACENT TECHNOLOGIES
    • 5.7.3.1 High-performance computing (HPC)
• 5.8 PATENT ANALYSIS
• 5.9 TRADE ANALYSIS
  • 5.9.1 IMPORT DATA (HS CODE 847330)
  • 5.9.2 EXPORT DATA (HS CODE 847330)
• 5.10 KEY CONFERENCES AND EVENTS, 2025-2026
• 5.11 CASE STUDY ANALYSIS
  • 5.11.1 NEARMAP REDUCES COMPUTING COST AND INCREASES DATA PROCESSING CAPACITY USING AMAZON EC2 G4 INSTANCES
  • 5.11.2 SOLUNA DEPLOYS AARNA.ML'S GPU CLOUD MANAGEMENT SOFTWARE TO BOOST ITS MARKETPLACE REACH
  • 5.11.3 COMPUTER VISION TECHNOLOGY COMPANY INCREASES GPU UTILIZATION TO IMPROVE PRODUCTIVITY AND REDUCE DL TRAINING TIME
  • 5.11.4 EPFL OPTIMIZES AI INFRASTRUCTURE TO PRIORITIZE WORKLOAD DEMANDS USING RUN:AI'S GPU ORCHESTRATION PLATFORM
• 5.12 INVESTMENT AND FUNDING SCENARIO
• 5.13 REGULATORY LANDSCAPE
  • 5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.13.2 STANDARDS
• 5.14 PORTER'S FIVE FORCES ANALYSIS
  • 5.14.1 THREAT OF NEW ENTRANTS
  • 5.14.2 THREAT OF SUBSTITUTES
  • 5.14.3 BARGAINING POWER OF SUPPLIERS
  • 5.14.4 BARGAINING POWER OF BUYERS
  • 5.14.5 INTENSITY OF COMPETITIVE RIVALRY
• 5.15 KEY STAKEHOLDERS AND BUYING PROCESS
  • 5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 5.15.2 BUYING CRITERIA

6 GPU AS A SERVICE PRICING MODELS

• 6.1 INTRODUCTION
• 6.2 ON-DEMAND INSTANCES
• 6.3 RESERVED INSTANCES
• 6.4 SPOT INSTANCES

7 GPU AS A SERVICE MARKET, BY SERVICE MODEL

• 7.1 INTRODUCTION
• 7.2 IAAS
  • 7.2.1 RISE IN EDGE COMPUTING AND REAL-TIME DATA PROCESSING TO BOOST SEGMENTAL GROWTH
• 7.3 PAAS
  • 7.3.1 COST EFFICIENCY, SCALABILITY, AND OPERATIONAL SIMPLICITY TO CONTRIBUTE TO SEGMENTAL GROWTH

8 GPU AS A SERVICE MARKET, BY GPU TYPE

• 8.1 INTRODUCTION
• 8.2 HIGH-END GPUS
  • 8.2.1 MOUNTING ADOPTION IN AI RESEARCH, NEXT-GEN CLOUD COMPUTING, AND COMPLEX HPC APPLICATIONS TO DRIVE MARKET
• 8.3 MID-RANGE GPUS
  • 8.3.1 GROWING EMERGENCE AS COST-EFFECTIVE ALTERNATIVE TO HIGH-END GPUS TO FUEL SEGMENTAL GROWTH
• 8.4 ENTRY-LEVEL GPUS
  • 8.4.1 RISING ADOPTION TO SUPPORT DIGITAL TRANSFORMATION BY SMALL BUSINESSES TO BOLSTER SEGMENTAL GROWTH

9 GPU AS A SERVICE MARKET, BY DEPLOYMENT

• 9.1 INTRODUCTION
• 9.2 PUBLIC CLOUD
  • 9.2.1 SCALABILITY AND HIGH-PERFORMANCE COMPUTING CAPABILITIES TO AUGMENT SEGMENTAL GROWTH
• 9.3 PRIVATE CLOUD
  • 9.3.1 ENHANCED CONTROL, SECURITY, AND CUSTOMIZATION TO FOSTER SEGMENTAL GROWTH
• 9.4 HYBRID CLOUD
  • 9.4.1 ABILITY TO HANDLE DYNAMIC WORKLOADS AND DATA SECURITY TO ACCELERATE SEGMENTAL GROWTH

10 GPU AS A SERVICE MARKET, BY ENTERPRISE TYPE

• 10.1 INTRODUCTION
• 10.2 LARGE ENTERPRISES
  • 10.2.1 RISING DEMAND FOR AI-POWERED SOLUTIONS, BIG DATA ANALYTICS, AND REAL-TIME DECISION-MAKING TO DRIVE MARKET
• 10.3 SMES
  • 10.3.1 INCREASING ADOPTION OF CLOUD-BASED AI SERVICES TO BOOST SEGMENTAL GROWTH

11 GPU AS A SERVICE MARKET, BY APPLICATION

• 11.1 INTRODUCTION
• 11.2 AI & ML
  • 11.2.1 TRAINING
    • 11.2.1.1 Requirement for high computational power to contribute to segmental growth
  • 11.2.2 INFERENCE
    • 11.2.2.1 Rapid advances in edge computing to accelerate segmental growth
• 11.3 HPC
  • 11.3.1 LOW UPFRONT COSTS AND SCALABILITY OF GPU AS A SERVICE IN AI-DRIVEN RESEARCH AND REAL-TIME PROCESSING TO FUEL SEGMENTAL GROWTH
• 11.4 MEDIA & ENTERTAINMENT
  • 11.4.1 VIDEO PROCESSING & STREAMING
    • 11.4.1.1 Rising emphasis on optimizing compression, reducing latency, and enhancing video resolution to foster segmental growth
  • 11.4.2 3D RENDERING & ANIMATION
    • 11.4.2.1 Growing focus on accelerating visual effects, motion graphics, and 3D animation workflows to drive market
  • 11.4.3 GAMING & INTERACTIVE MEDIA
    • 11.4.3.1 Increasing development of real-time ray tracing, AI-generated graphics, and virtual world simulations to augment segmental growth
  • 11.4.4 OTHER MEDIA & ENTERTAINMENT APPLICATIONS
• 11.5 OTHER APPLICATIONS

12 GPU AS A SERVICE MARKET, BY REGION

• 12.1 INTRODUCTION
• 12.2 NORTH AMERICA
  • 12.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
  • 12.2.2 US
    • 12.2.2.1 Rising deployment of AI for data-driven decision-making and automation to drive market
  • 12.2.3 CANADA
    • 12.2.3.1 Increasing establishment of data centers and cloud computing adoption to boost market growth
  • 12.2.4 MEXICO
    • 12.2.4.1 Growing implementation of digital transformation policies to enhance operational efficiency to fuel market growth
• 12.3 EUROPE
  • 12.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
  • 12.3.2 UK
    • 12.3.2.1 Thriving video game industry to contribute to market growth
  • 12.3.3 GERMANY
    • 12.3.3.1 Increasing investment in AI to enhance automation and predictive maintenance to create lucrative opportunities
  • 12.3.4 FRANCE
    • 12.3.4.1 Growing emphasis on technological and industrial innovation to boost market growth
  • 12.3.5 ITALY
    • 12.3.5.1 Rising focus on enhancing digital infrastructure development to fuel market growth
  • 12.3.6 SPAIN
    • 12.3.6.1 Increasing migration toward cloud platforms to spur demand
  • 12.3.7 POLAND
    • 12.3.7.1 Rapid advances in high-performance computing to contribute to market growth
  • 12.3.8 NORDICS
    • 12.3.8.1 Rising adoption of accelerated computing technology in data centers to foster market growth
  • 12.3.9 REST OF EUROPE
• 12.4 ASIA PACIFIC
  • 12.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
  • 12.4.2 CHINA
    • 12.4.2.1 Rapid proliferation of IoT devices and immense data generation to drive market
  • 12.4.3 JAPAN
    • 12.4.3.1 Increasing investment in AI and cloud infrastructure to fuel market growth
  • 12.4.4 SOUTH KOREA
    • 12.4.4.1 Rising development of AI chips and server solutions by tech giants to accelerate market growth
  • 12.4.5 INDIA
    • 12.4.5.1 Rapid establishment of AI research centers to offer lucrative growth opportunities
  • 12.4.6 AUSTRALIA
    • 12.4.6.1 Increasing development of robust AI ecosystem through strategic investments to augment market growth
  • 12.4.7 INDONESIA
    • 12.4.7.1 Mounting adoption of cloud services to contribute to market growth
  • 12.4.8 MALAYSIA
    • 12.4.8.1 Rising deployment of AI-driven solutions by industries to fuel market growth
  • 12.4.9 THAILAND
    • 12.4.9.1 Increasing investment in smart cities, fintech, and healthcare AI to bolster market growth
  • 12.4.10 VIETNAM
    • 12.4.10.1 Rapid expansion of 5G infrastructure, cloud computing, and AI-driven digital services to drive market
  • 12.4.11 REST OF ASIA PACIFIC
• 12.5 ROW
  • 12.5.1 MACROECONOMIC OUTLOOK FOR ROW
  • 12.5.2 MIDDLE EAST
    • 12.5.2.1 Bahrain
      • 12.5.2.1.1 Government initiatives to foster innovation and digital transformation to foster market growth
    • 12.5.2.2 Kuwait
      • 12.5.2.2.1 Growing focus on optimizing data processing and enhancing network performance to drive market
    • 12.5.2.3 Oman
      • 12.5.2.3.1 Rising awareness about benefits of HPC technology to contribute to market growth
    • 12.5.2.4 Qatar
      • 12.5.2.4.1 Burgeoning investment in digital infrastructure to augment market growth
    • 12.5.2.5 Saudi Arabia
      • 12.5.2.5.1 Increasing deployment of cloud computing and HPC technologies to accelerate market growth
    • 12.5.2.6 UAE
      • 12.5.2.6.1 Rising adoption of 5G and advanced networks to bolster market growth
    • 12.5.2.7 Rest of Middle East
  • 12.5.3 AFRICA
    • 12.5.3.1 South Africa
      • 12.5.3.1.1 Mounting demand for cloud computing to drive market
    • 12.5.3.2 Other African countries
  • 12.5.4 SOUTH AMERICA
    • 12.5.4.1 Expansion of cloud data centers to boost market growth

13 COMPETITIVE LANDSCAPE

• 13.1 INTRODUCTION
• 13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2023-2025
• 13.3 REVENUE ANALYSIS, 2022-2024
• 13.4 MARKET SHARE ANALYSIS, 2024
• 13.5 COMPANY VALUATION AND FINANCIAL METRICS
• 13.6 BRAND COMPARISON
• 13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
  • 13.7.1 STARS
  • 13.7.2 EMERGING LEADERS
  • 13.7.3 PERVASIVE PLAYERS
  • 13.7.4 PARTICIPANTS
  • 13.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
    • 13.7.5.1 Company footprint
    • 13.7.5.2 Region footprint
    • 13.7.5.3 Service model footprint
    • 13.7.5.4 GPU type footprint
    • 13.7.5.5 Deployment footprint
    • 13.7.5.6 Enterprise type footprint
    • 13.7.5.7 Application footprint
• 13.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
  • 13.8.1 PROGRESSIVE COMPANIES
  • 13.8.2 RESPONSIVE COMPANIES
  • 13.8.3 DYNAMIC COMPANIES
  • 13.8.4 STARTING BLOCKS
  • 13.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    • 13.8.5.1 Detailed list of key startups/SMEs
    • 13.8.5.2 Competitive benchmarking of key startups/SMEs
• 13.9 COMPETITIVE SCENARIO
  • 13.9.1 PRODUCT LAUNCHES
  • 13.9.2 DEALS

14 COMPANY PROFILES

• 14.1 KEY PLAYERS
  • 14.1.1 AMAZON WEB SERVICES, INC.
    • 14.1.1.1 Business overview
    • 14.1.1.2 Products/Solutions/Services offered
    • 14.1.1.3 Recent developments
      • 14.1.1.3.1 Product launches
      • 14.1.1.3.2 Deals
    • 14.1.1.4 MnM view
      • 14.1.1.4.1 Key strengths/Right to win
      • 14.1.1.4.2 Strategic choices
      • 14.1.1.4.3 Weaknesses/Competitive threats
  • 14.1.2 MICROSOFT
    • 14.1.2.1 Business overview
    • 14.1.2.2 Products/Solutions/Services offered
    • 14.1.2.3 Recent developments
      • 14.1.2.3.1 Deals
    • 14.1.2.4 MnM view
      • 14.1.2.4.1 Key strengths/Right to win
      • 14.1.2.4.2 Strategic choices
      • 14.1.2.4.3 Weaknesses/Competitive threats
  • 14.1.3 GOOGLE
    • 14.1.3.1 Business overview
    • 14.1.3.2 Products/Solutions/Services offered
    • 14.1.3.3 Recent developments
      • 14.1.3.3.1 Product launches
      • 14.1.3.3.2 Deals
    • 14.1.3.4 MnM view
      • 14.1.3.4.1 Key strengths/Right to win
      • 14.1.3.4.2 Strategic choices
      • 14.1.3.4.3 Weaknesses/Competitive threats
  • 14.1.4 ORACLE
    • 14.1.4.1 Business overview
    • 14.1.4.2 Products/Solutions/Services offered
    • 14.1.4.3 Recent developments
      • 14.1.4.3.1 Product launches
      • 14.1.4.3.2 Deals
    • 14.1.4.4 MnM view
      • 14.1.4.4.1 Key strengths/Right to win
      • 14.1.4.4.2 Strategic choices
      • 14.1.4.4.3 Weaknesses/Competitive threats
  • 14.1.5 IBM
    • 14.1.5.1 Business overview
    • 14.1.5.2 Products/Solutions/Services offered
    • 14.1.5.3 Recent developments
      • 14.1.5.3.1 Product launches
      • 14.1.5.3.2 Deals
    • 14.1.5.4 MnM view
      • 14.1.5.4.1 Key strengths/Right to win
      • 14.1.5.4.2 Strategic choices
      • 14.1.5.4.3 Weaknesses/Competitive threats
  • 14.1.6 COREWEAVE
    • 14.1.6.1 Business overview
    • 14.1.6.2 Products/Solutions/Services offered
    • 14.1.6.3 Recent developments
      • 14.1.6.3.1 Product launches
      • 14.1.6.3.2 Deals
      • 14.1.6.3.3 Expansions
  • 14.1.7 ALIBABA CLOUD
    • 14.1.7.1 Business overview
    • 14.1.7.2 Products/Solutions/Services offered
    • 14.1.7.3 Recent developments
      • 14.1.7.3.1 Expansions
  • 14.1.8 LAMBDA
    • 14.1.8.1 Business overview
    • 14.1.8.2 Products/Solutions/Services offered
    • 14.1.8.3 Recent developments
      • 14.1.8.3.1 Deals
  • 14.1.9 TENCENT CLOUD
    • 14.1.9.1 Business overview
    • 14.1.9.2 Products/Solutions/Services offered
    • 14.1.9.3 Recent developments
      • 14.1.9.3.1 Expansions
  • 14.1.10 JARVISLABS.AI
    • 14.1.10.1 Business overview
    • 14.1.10.2 Products/Solutions/Services offered
• 14.2 OTHER PLAYERS
  • 14.2.1 FLUIDSTACK
  • 14.2.2 OVH SAS
  • 14.2.3 E2E NETWORKS LIMITED
  • 14.2.4 RUNPOD
  • 14.2.5 SCALEMATRIX HOLDINGS, INC.
  • 14.2.6 VAST.AI
  • 14.2.7 ACECLOUD
  • 14.2.8 SNOWCELL
  • 14.2.9 LINODE LLC
  • 14.2.10 YOTTA INFRASTRUCTURE
  • 14.2.11 VULTR
  • 14.2.12 DIGITALOCEAN, LLC
  • 14.2.13 RACKSPACE TECHNOLOGY
  • 14.2.14 GCORE
  • 14.2.15 NEBIUS B.V.

15 APPENDIX

• 15.1 DISCUSSION GUIDE
• 15.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 15.3 CUSTOMIZATION OPTIONS
• 15.4 RELATED REPORTS
• 15.5 AUTHOR DETAILS