Research Expert: Sarah Overall
  • Published: Jul 2025
  • Pages: 150
  • SKU: IRTNTR80688

  • Latest News- Cloud-Based AI Model Training Market: Solutions is expected to lead the Type segment during 2025-2029

    The Cloud-Based AI Model Training Market is being driven by Unprecedented computational demands of generative AI and foundational models

    The Cloud-Based AI Model Training Market is expected to grow at a CAGR of 32.8% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 17154.1 million. The cloud-based AI model training market is witnessing a significant shift towards Sovereign AI, driven by geopolitical tensions, data sovereignty regulations, and the desire for national economic and digital autonomy. This trend is leading nations and regional blocs to invest in domestic AI ecosystems, including local research champions, hardware development, and regional cloud infrastructure capable of training large-scale foundational models. This strategic pivot aims to reduce reliance on foreign, primarily US-based, hyperscale cloud providers for critical AI infrastructure, addressing concerns over data security and national security vulnerabilities. 

    Get more information on Cloud-Based AI Model Training Market by requesting a sample report

    Which Factors Are Causing a Surge in Market Growth?

    The market is segmented based on

    • Type
      • Solutions
      • Services
    • Deployment
      • Public cloud
      • Private cloud
      • Hybrid cloud
    • Technology
      • Machine learning
      • Deep learning
      • Natural language processing
    • Geography
      • North America
        • Canada
        • US
      • Europe
        • Germany
        • UK
        • France
        • Italy
      • APAC
        • China
        • India
        • Japan
      • South America
        • Brazil
      • Middle East and Africa

      According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows: 

      • Unprecedented computational demands of generative AI and foundational models
      • Democratization of AI development via cloud accessibility and economic efficiency
      • Accelerated innovation in specialized hardware and its seamless integration into cloud platforms

      However, the market also witnesses some limitations, which are as follows:

      • Acute scarcity and high cost of specialized AI accelerators
      • Data privacy, security, and governance complexities
      • Severe shortage of specialized AI and MLOps talent

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      Market Scope in Cloud-Based AI Model Training Market Research Report

      Market Scope

      Report Coverage

      Details

      Page number

      230

      Base year

      2024

      Historic period

      2019-2023

      Forecast period

      2025-2029

      Growth momentum & CAGR

      Accelerate at a CAGR of 32.8%

      Market growth 2025-2029

      USD 17154.1 million

      Market structure

      fragmentation

      YoY growth 2024-2025(%)

      28.2

      Key countries

      US, UK, Germany, Canada, France, China, India, Italy, Japan, and Brazil

      Competitive landscape

      Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks

      Find out which segment is leading the market by accessing the free PDF report

      Research Analysis Overview

      The Cloud-Based AI Model Training Market encompasses deep learning frameworks such as TensorFlow with integration, Pytorch implementation, and Keras API usage. It offers cloud storage solutions for data versioning and model architecture design, including neural network layers, activation functions, optimizer algorithms, and learning rate scheduling. Batch size selection, epoch definition, early stopping criteria, cross-validation metrics, and confusion matrix interpretation are essential for model evaluation. Precision and recall, f1-score calculation, AUC calculation, and ROC curve analysis ensure accurate model performance. Model interpretability, debugging strategies, error analysis techniques, performance tuning, cost optimization, and parallel computing are crucial for enhancing efficiency and effectiveness in cloud-based AI model training.

      Market Research Overview

      The Cloud-Based AI Model Training Market is a segment of the broader Global IT Software Market, focusing on companies providing specialized software for training artificial intelligence models in the cloud. This market encompasses innovative solutions utilizing GPU acceleration, distributed training, model parallelism, and data parallelism to enhance efficiency and scalability. These advanced techniques enable businesses to train complex AI models faster and more cost-effectively, thereby fueling the market's growth. Technavio's market analysis calculates the market size based on the combined revenue of these companies, including those offering cloud-based software solutions.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.


      Contacts

      Technavio Research
      Jesse Maida
      Media & Marketing Executive
      US: +1 844 364 1100
      UK: +44 203 893 3200
      Email: media@technavio.com
      Website: www.technavio.com/

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