클라우드 기반 AI 모델 트레이닝 시장(2026-2030년)

The global cloud-based ai model training market is forecasted to grow by USD 25092.1 mn during 2025-2030, accelerating at a CAGR of 35.6% during the forecast period. The report on the global cloud-based ai model training 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 industrialization of sovereign ai and regional cloud ecosystems, strategic proliferation of generative ai and foundation model development, growth of agentic ai and real-time infrastructure scaling.

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-based ai model training market is segmented as below:

By Type

• Solutions
• Services

By Deployment

• Public cloud
• Private cloud
• Hybrid cloud

By Technology

• Machine learning
• Deep learning
• Natural language processing

Geography

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

This study identifies the development multi-cloud orchestration and model interoperability frameworks as one of the prime reasons driving the global cloud-based ai model training market growth during the next few years. Also, integration of sovereign clouds and data residency compliance and strategic expansion of energy-aware training and greenops performance metrics will lead to sizable demand in the market.

The report on the global cloud-based ai model training market covers the following areas:

• Global cloud-based ai model training market sizing
• Global cloud-based ai model training market forecast
• Global cloud-based ai model training 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-based ai model training market vendors that include Alibaba Cloud, Amazon Web Services Inc., Baidu Inc., CoreWeave Inc, Cyfuture India Pvt Ltd, Databricks Inc., Fractal Analytics Pvt. Ltd., Google LLC, Huawei Technologies Co. Ltd., Hugging Face Inc., IBM Corp., Infosys Ltd., Lambda Inc., Microsoft Corp., NVIDIA Corp., Oracle Corp., SenseTime Group Inc., Tata Elxsi Ltd., Tencent Holdings Ltd., V7 Ltd.. Also, the global cloud-based ai model training 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 Type
  • Executive Summary - Chart on Market Segmentation by Deployment
  • Executive Summary - Chart on Market Segmentation by Technology
  • 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-Based AI Model Training Market 2020 - 2024
  • Historic Market Size - Data Table on Global Cloud-Based AI Model Training Market 2020 - 2024 ($ million)
• 5.2 Type segment analysis 2020 - 2024
  • Historic Market Size - Type Segment 2020 - 2024 ($ million)
• 5.3 Deployment segment analysis 2020 - 2024
  • Historic Market Size - Deployment Segment 2020 - 2024 ($ million)
• 5.4 Technology segment analysis 2020 - 2024
  • Historic Market Size - Technology 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 geopolitical conflict for global cloud-based AI model training 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 Type

• 8.1 Market segments
• 8.2 Comparison by Type
• 8.3 Solutions - Market size and forecast 2025-2030
• 8.4 Services - Market size and forecast 2025-2030
• 8.5 Market opportunity by Type
  • Market opportunity by Type ($ million)

9 Market Segmentation by Deployment

• 9.1 Market segments
• 9.2 Comparison by Deployment
• 9.3 Public cloud - Market size and forecast 2025-2030
• 9.4 Private cloud - Market size and forecast 2025-2030
• 9.5 Hybrid cloud - Market size and forecast 2025-2030
• 9.6 Market opportunity by Deployment
  • Market opportunity by Deployment ($ million)

10 Market Segmentation by Technology

• 10.1 Market segments
• 10.2 Comparison by Technology
• 10.3 Machine learning - Market size and forecast 2025-2030
• 10.4 Deep learning - Market size and forecast 2025-2030
• 10.5 Natural language processing - Market size and forecast 2025-2030
• 10.6 Market opportunity by Technology
  • Market opportunity by Technology ($ 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 Europe - Market size and forecast 2025-2030
  • 12.4.1 Germany - Market size and forecast 2025-2030
  • 12.4.2 UK - Market size and forecast 2025-2030
  • 12.4.3 France - Market size and forecast 2025-2030
  • 12.4.4 Italy - Market size and forecast 2025-2030
  • 12.4.5 The Netherlands - Market size and forecast 2025-2030
  • 12.4.6 Spain - Market size and forecast 2025-2030
• 12.5 APAC - Market size and forecast 2025-2030
  • 12.5.1 China - Market size and forecast 2025-2030
  • 12.5.2 Japan - Market size and forecast 2025-2030
  • 12.5.3 India - Market size and forecast 2025-2030
  • 12.5.4 South Korea - Market size and forecast 2025-2030
  • 12.5.5 Australia - Market size and forecast 2025-2030
  • 12.5.6 Indonesia - Market size and forecast 2025-2030
• 12.6 South America - Market size and forecast 2025-2030
  • 12.6.1 Brazil - Market size and forecast 2025-2030
  • 12.6.2 Argentina - Market size and forecast 2025-2030
  • 12.6.3 Chile - Market size and forecast 2025-2030
• 12.7 Middle East and Africa - Market size and forecast 2025-2030
  • 12.7.1 Saudi Arabia - Market size and forecast 2025-2030
  • 12.7.2 UAE - Market size and forecast 2025-2030
  • 12.7.3 South Africa - Market size and forecast 2025-2030
  • 12.7.4 Israel - Market size and forecast 2025-2030
  • 12.7.5 Turkey - 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
  • Industrialization of sovereign AI and regional cloud ecosystems
  • Strategic proliferation of generative AI and foundation model development
  • Growth of agentic AI and real-time infrastructure scaling
• 13.2 Market challenges
  • Escalation of data sovereignty mandates and regional training fragmentation
  • Intensification of thermal management complexity and power grid constraints
  • Persistence of advanced packaging bottlenecks and semiconductor supply fragility
• 13.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2025 and 2030
• 13.4 Market opportunities
  • Development multi-cloud orchestration and model interoperability frameworks
  • Integration of sovereign clouds and data residency compliance
  • Strategic expansion of energy-aware training and GreenOps performance metrics

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 Alibaba Cloud
  • Alibaba Cloud - Overview
  • Alibaba Cloud - Product / Service
  • Alibaba Cloud - Key offerings
  • SWOT
• 15.5 Amazon Web Services Inc.
  • Amazon Web Services Inc. - Overview
  • Amazon Web Services Inc. - Product / Service
  • Amazon Web Services Inc. - Key offerings
  • SWOT
• 15.6 Baidu Inc.
  • Baidu Inc. - Overview
  • Baidu Inc. - Business segments
  • Baidu Inc. - Key news
  • Baidu Inc. - Key offerings
  • Baidu Inc. - Segment focus
  • SWOT
• 15.7 Databricks Inc.
  • Databricks Inc. - Overview
  • Databricks Inc. - Product / Service
  • Databricks Inc. - Key offerings
  • SWOT
• 15.8 Fractal Analytics Pvt. Ltd.
  • Fractal Analytics Pvt. Ltd. - Overview
  • Fractal Analytics Pvt. Ltd. - Product / Service
  • Fractal Analytics Pvt. Ltd. - Key offerings
  • SWOT
• 15.9 Google LLC
  • Google LLC - Overview
  • Google LLC - Product / Service
  • Google LLC - Key offerings
  • SWOT
• 15.10 Huawei Technologies Co. Ltd.
  • Huawei Technologies Co. Ltd. - Overview
  • Huawei Technologies Co. Ltd. - Product / Service
  • Huawei Technologies Co. Ltd. - Key offerings
  • SWOT
• 15.11 IBM Corp.
  • IBM Corp. - Overview
  • IBM Corp. - Business segments
  • IBM Corp. - Key news
  • IBM Corp. - Key offerings
  • IBM Corp. - Segment focus
  • SWOT
• 15.12 Infosys Ltd.
  • Infosys Ltd. - Overview
  • Infosys Ltd. - Business segments
  • Infosys Ltd. - Key offerings
  • Infosys Ltd. - Segment focus
  • SWOT
• 15.13 Microsoft Corp.
  • Microsoft Corp. - Overview
  • Microsoft Corp. - Business segments
  • Microsoft Corp. - Key news
  • Microsoft Corp. - Key offerings
  • Microsoft Corp. - Segment focus
  • SWOT
• 15.14 NVIDIA Corp.
  • NVIDIA Corp. - Overview
  • NVIDIA Corp. - Business segments
  • NVIDIA Corp. - Key news
  • NVIDIA Corp. - Key offerings
  • NVIDIA Corp. - Segment focus
  • SWOT
• 15.15 Oracle Corp.
  • Oracle Corp. - Overview
  • Oracle Corp. - Business segments
  • Oracle Corp. - Key news
  • Oracle Corp. - Key offerings
  • Oracle Corp. - Segment focus
  • SWOT
• 15.16 SenseTime Group Inc.
  • SenseTime Group Inc. - Overview
  • SenseTime Group Inc. - Product / Service
  • SenseTime Group Inc. - Key offerings
  • SWOT
• 15.17 Tata Elxsi Ltd.
  • Tata Elxsi Ltd. - Overview
  • Tata Elxsi Ltd. - Business segments
  • Tata Elxsi Ltd. - Key offerings
  • Tata Elxsi Ltd. - Segment focus
  • SWOT
• 15.18 Tencent Holdings Ltd.
  • Tencent Holdings Ltd. - Overview
  • Tencent Holdings Ltd. - Business segments
  • Tencent Holdings Ltd. - Key offerings
  • Tencent Holdings Ltd. - Segment focus
  • 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