클라우드 GPU 관리 소프트웨어 시장(2026-2030년)

The global cloud GPU management software market is forecasted to grow by USD 4929.8 mn during 2025-2030, accelerating at a CAGR of 26.8% during the forecast period. The report on the global cloud GPU management software market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by surge in complex generative ai and large language model deployments, imperative for capital efficiency and dynamic resource fractionalization, proliferation of heterogeneous hybrid and multi-cloud computational topologies.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global cloud GPU management software market is segmented as below:

By Deployment

• Public cloud
• Hybrid cloud
• Private cloud
• On-premises

By End-User

• Large enterprises
• SMEs

By Application

• GPU orchestration
• GPU scheduling
• GPU monitoring
• GPU resource sharing
• GPU cost optimization

Geography

• North America
  • US
  • Canada
  • Mexico
• APAC
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
• Europe
  • UK
  • Germany
  • France
  • The Netherlands
  • Italy
  • Spain
• Middle East and Africa
  • UAE
  • Turkey
  • South Africa
• South America
  • Brazil
  • Argentina
  • Colombia
• Rest of World (ROW)

This study identifies the escalation of enterprise sovereign cloud and data governance mandates as one of the prime reasons driving the global cloud GPU management software market growth during the next few years. Also, transition toward power-aware scheduling and energy telemetry orchestration and proliferation of edge ai deployments and autonomous distributed inference networks will lead to sizable demand in the market.

The report on the global cloud GPU management software market covers the following areas:

• Global cloud GPU management software market sizing
• Global cloud GPU management software market forecast
• Global cloud GPU management software market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global cloud GPU management software market vendors that include Advanced Micro Devices Inc., Armada Inc, ClearML Inc, CoreWeave Inc, DataRobot Inc., DigitalOcean Holdings Inc., Domino Data Lab Inc., GigaIO, Google LLC, Hyperstack, Lambda Inc., Liqid Inc, Microsoft Corp., Northflank Ltd, Nscale Limited, NVIDIA Corp., Oracle Corp., Paperspace Co., RunPod Inc., Together AI. Also, the global cloud GPU management software market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Deployment
  • Executive Summary - Chart on Market Segmentation by End-user
  • Executive Summary - Chart on Market Segmentation by Application
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2025
• 4.4 Market outlook: Forecast for 2025-2030

5 Historic Market Size

• 5.1 Global Cloud GPU Management Software Market 2020 - 2024
  • Historic Market Size - Data Table on Global Cloud GPU Management Software Market 2020 - 2024 ($ million)
• 5.2 Deployment segment analysis 2020 - 2024
  • Historic Market Size - Deployment Segment 2020 - 2024 ($ million)
• 5.3 End-user segment analysis 2020 - 2024
  • Historic Market Size - End-user Segment 2020 - 2024 ($ million)
• 5.4 Application segment analysis 2020 - 2024
  • Historic Market Size - Application Segment 2020 - 2024 ($ million)
• 5.5 Geography segment analysis 2020 - 2024
  • Historic Market Size - Geography Segment 2020 - 2024 ($ million)
• 5.6 Country segment analysis 2020 - 2024
  • Historic Market Size - Country Segment 2020 - 2024 ($ million)

6 Qualitative Analysis

• 6.1 Impact of AI on Global Cloud GPU Management Software Market
• 6.2 Impact of Geopolitical Conflicts on Global Cloud GPU Management Software Market

7 Five Forces Analysis

• 7.1 Five forces summary
  • Five forces analysis - Comparison between 2025 and 2030
• 7.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2025 and 2030
• 7.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2025 and 2030
• 7.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2025 and 2030
• 7.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2025 and 2030
• 7.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2025 and 2030
• 7.7 Market condition

8 Market Segmentation by Deployment

• 8.1 Market segments
• 8.2 Comparison by Deployment
• 8.3 Public cloud - Market size and forecast 2025-2030
• 8.4 Hybrid cloud - Market size and forecast 2025-2030
• 8.5 Private cloud - Market size and forecast 2025-2030
• 8.6 On-premises - Market size and forecast 2025-2030
• 8.7 Market opportunity by Deployment
  • Market opportunity by Deployment ($ million)

9 Market Segmentation by End-user

• 9.1 Market segments
• 9.2 Comparison by End-user
• 9.3 Large enterprises - Market size and forecast 2025-2030
• 9.4 SMEs - Market size and forecast 2025-2030
• 9.5 Market opportunity by End-user
  • Market opportunity by End-user ($ million)

10 Market Segmentation by Application

• 10.1 Market segments
• 10.2 Comparison by Application
• 10.3 GPU orchestration - Market size and forecast 2025-2030
• 10.4 GPU scheduling - Market size and forecast 2025-2030
• 10.5 GPU monitoring - Market size and forecast 2025-2030
• 10.6 GPU resource sharing - Market size and forecast 2025-2030
• 10.7 GPU cost optimization - Market size and forecast 2025-2030
• 10.8 Market opportunity by Application
  • Market opportunity by Application ($ million)

11 Customer Landscape

• 11.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

12 Geographic Landscape

• 12.1 Geographic segmentation
• 12.2 Geographic comparison
• 12.3 North America - Market size and forecast 2025-2030
  • 12.3.1 US - Market size and forecast 2025-2030
  • 12.3.2 Canada - Market size and forecast 2025-2030
  • 12.3.3 Mexico - Market size and forecast 2025-2030
• 12.4 APAC - Market size and forecast 2025-2030
  • 12.4.1 China - Market size and forecast 2025-2030
  • 12.4.2 Japan - Market size and forecast 2025-2030
  • 12.4.3 India - Market size and forecast 2025-2030
  • 12.4.4 South Korea - Market size and forecast 2025-2030
  • 12.4.5 Australia - Market size and forecast 2025-2030
  • 12.4.6 Indonesia - Market size and forecast 2025-2030
• 12.5 Europe - Market size and forecast 2025-2030
  • 12.5.1 UK - Market size and forecast 2025-2030
  • 12.5.2 Germany - Market size and forecast 2025-2030
  • 12.5.3 France - Market size and forecast 2025-2030
  • 12.5.4 The Netherlands - Market size and forecast 2025-2030
  • 12.5.5 Italy - Market size and forecast 2025-2030
  • 12.5.6 Spain - Market size and forecast 2025-2030
• 12.6 Middle East and Africa - Market size and forecast 2025-2030
  • 12.6.1 Saudi Arabia - Market size and forecast 2025-2030
  • 12.6.2 UAE - Market size and forecast 2025-2030
  • 12.6.3 Israel - Market size and forecast 2025-2030
  • 12.6.4 Turkey - Market size and forecast 2025-2030
  • 12.6.5 South Africa - Market size and forecast 2025-2030
• 12.7 South America - Market size and forecast 2025-2030
  • 12.7.1 Brazil - Market size and forecast 2025-2030
  • 12.7.2 Argentina - Market size and forecast 2025-2030
  • 12.7.3 Colombia - Market size and forecast 2025-2030
• 12.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

13 Drivers, Challenges, and Opportunity

• 13.1 Market drivers
  • Surge in complex generative AI and large language model deployments
  • Imperative for capital efficiency and dynamic resource fractionalization
  • Proliferation of heterogeneous hybrid and multi-cloud computational topologies
• 13.2 Market challenges
  • Extreme architectural heterogeneity and firmware interoperability friction
  • Stringent data sovereignty mandates and multi-tenant isolation vulnerabilities
  • Acute scarcity of specialized systems engineering talent
• 13.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2025 and 2030
• 13.4 Market opportunities
  • Escalation of enterprise sovereign cloud and data governance mandates
  • Transition toward power-aware scheduling and energy telemetry orchestration
  • Proliferation of edge AI deployments and autonomous distributed inference networks

14 Competitive Landscape

• 14.1 Overview
• 14.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 14.3 Landscape disruption
  • Overview on factors of disruption
• 14.4 Industry risks
  • Impact of key risks on business

15 Competitive Analysis

• 15.1 Companies profiled
  • Companies covered
• 15.2 Company ranking index
  • Company ranking index
• 15.3 Market positioning of companies
  • Matrix on companies position and classification
• 15.4 Armada Inc
  • Armada Inc - Overview
  • Armada Inc - Product / Service
  • Armada Inc - Key offerings
  • SWOT
• 15.5 ClearML Inc
  • ClearML Inc - Overview
  • ClearML Inc - Product / Service
  • ClearML Inc - Key offerings
  • SWOT
• 15.6 CoreWeave Inc
  • CoreWeave Inc - Overview
  • CoreWeave Inc - Product / Service
  • CoreWeave Inc - Key offerings
  • SWOT
• 15.7 DataRobot Inc.
  • DataRobot Inc. - Overview
  • DataRobot Inc. - Product / Service
  • DataRobot Inc. - Key offerings
  • SWOT
• 15.8 Domino Data Lab Inc.
  • Domino Data Lab Inc. - Overview
  • Domino Data Lab Inc. - Product / Service
  • Domino Data Lab Inc. - Key offerings
  • SWOT
• 15.9 GigaIO
  • GigaIO - Overview
  • GigaIO - Product / Service
  • GigaIO - Key offerings
  • SWOT
• 15.10 Google LLC
  • Google LLC - Overview
  • Google LLC - Product / Service
  • Google LLC - Key news
  • Google LLC - Key offerings
  • SWOT
• 15.11 Hyperstack
  • Hyperstack - Overview
  • Hyperstack - Product / Service
  • Hyperstack - Key offerings
  • SWOT
• 15.12 Lambda Inc.
  • Lambda Inc. - Overview
  • Lambda Inc. - Product / Service
  • Lambda Inc. - Key offerings
  • SWOT
• 15.13 Liqid Inc
  • Liqid Inc - Overview
  • Liqid Inc - Product / Service
  • Liqid Inc - Key offerings
  • SWOT
• 15.14 Microsoft Corp.
  • Microsoft Corp. - Overview
  • Microsoft Corp. - Business segments
  • Microsoft Corp. - Key news
  • Microsoft Corp. - Key offerings
  • Microsoft Corp. - Segment focus
  • SWOT
• 15.15 Nscale Limited
  • Nscale Limited - Overview
  • Nscale Limited - Product / Service
  • Nscale Limited - Key offerings
  • SWOT
• 15.16 NVIDIA Corp.
  • NVIDIA Corp. - Overview
  • NVIDIA Corp. - Business segments
  • NVIDIA Corp. - Key news
  • NVIDIA Corp. - Key offerings
  • NVIDIA Corp. - Segment focus
  • SWOT
• 15.17 Paperspace Co.
  • Paperspace Co. - Overview
  • Paperspace Co. - Product / Service
  • Paperspace Co. - Key offerings
  • SWOT
• 15.18 RunPod Inc.
  • RunPod Inc. - Overview
  • RunPod Inc. - Product / Service
  • RunPod Inc. - Key offerings
  • SWOT

16 Appendix

• 16.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 16.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 16.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 16.4 Research methodology
  • Research methodology
• 16.5 Data procurement
  • Information sources
• 16.6 Data validation
  • Data validation
• 16.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 16.8 Data synthesis
  • Data synthesis
• 16.9 360 degree market analysis
  • 360 degree market analysis
• 16.10 List of abbreviations
  • List of abbreviations