The AI DevOps Market is being driven by Escalating complexity of modern IT and cloud environments
The AI DevOps Market is expected to grow at a CAGR of 26.6% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 8612.8 million. The AI DevOps market is experiencing a transformative trend with the increasing adoption of generative AI-powered assistants, or copilots, which are integrated into various stages of software development and operations. This shift from traditional AI, focusing primarily on analytical and predictive tasks, to generative AI, actively collaborating with human engineers in creative and problem-solving processes, is a significant paradigm change. Initially gaining popularity through AI coding assistants, this trend has expanded to include planning, testing, security, and operations, resulting in a more integrated and intelligent workflow. In the development phase, this trend has matured, with Microsoft's release of GitHub Copilot for Business in February 2023 and the more advanced GitHub Copilot Enterprise in February 2024, setting a new standard for AI-assisted coding within the industry.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
226 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 26.6% |
Market growth 2025-2029 |
USD 8612.8 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
25.3 |
Key countries |
US, Germany, China, Canada, UK, France, Japan, Australia, India, and South Korea |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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The AI DevOps market encompasses various stages of machine learning model development, including model deployment, training, data preprocessing, feature engineering, model selection, and hyperparameter tuning. It also covers production monitoring, model debugging, version control, code quality, collaboration tools, and automation tools. Additionally, it emphasizes testing frameworks, security best practices, observability tools, data security, access control, infrastructure security, continuous integration, continuous delivery, and continuous deployment. Agile methodologies, devops culture, team collaboration, knowledge sharing, best practices, process optimization, and performance metrics are also integral components of this market.
The AI DevOps market encompasses businesses specializing in Machine Learning Operations (MLOps), DevSecOps integration, Continuous Integration/Continuous Delivery (CI/CD) pipelines, and AI model monitoring. Technavio's market analysis for the IT software industry calculates the market size based on the consolidated revenue of these companies, providing software solutions that integrate MLOps practices, DevSecOps, CI/CD pipelines, and AI model monitoring for enhanced business efficiency and productivity. These solutions cater to both enterprise and technical applications, as well as cloud-based software, excluding interactive home entertainment software and database management software providers.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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