PUBLISHER: The Business Research Company | PRODUCT CODE: 2149372
PUBLISHER: The Business Research Company | PRODUCT CODE: 2149372
Artificial intelligence (AI) DevOps refers to the integration of artificial intelligence techniques into DevOps practices to automate, optimize, and enhance the software development lifecycle, including coding, testing, deployment, and monitoring. It enables intelligent decision-making, predictive analytics, and self-healing systems to improve the efficiency, reliability, and speed of continuous delivery pipelines.
The primary components of artificial intelligence (AI) DevOps include platform software and services. Platform software refers to tools and platforms that support the development, testing, deployment, monitoring, and management of artificial intelligence and machine learning models throughout their operational lifecycle. These solutions are deployed through cloud-based, on-premises, and hybrid cloud models and are adopted by small and medium-sized enterprises and large enterprises. The various applications include artificial intelligence model development, artificial intelligence model training, artificial intelligence model deployment, artificial intelligence model monitoring and management, and generative artificial intelligence applications, and they are used by end-use industries such as information technology and telecommunications, banking, financial services and insurance, healthcare and life sciences, manufacturing, retail and e-commerce, automotive, and government and defense.
Tariffs are influencing the artificial intelligence (AI) DevOps market by increasing the cost of imported servers, computing hardware, networking equipment, and semiconductor components that support AI workloads and DevOps infrastructure. This can raise infrastructure and deployment costs across platform software and services, with AI model development, training, deployment, and monitoring applications particularly affected in regions dependent on imported technology such as Asia-Pacific, Europe, and Latin America. Cloud-based and hybrid cloud deployments may face indirect cost pressures through higher data center equipment and infrastructure expenses. However, tariffs are also encouraging regional technology sourcing, domestic data center investment, cloud infrastructure expansion, and greater development of localized AI and DevOps capabilities, strengthening long-term supply chain resilience.
The artificial intelligence (AI) devops market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) devops market statistics, including artificial intelligence (AI) devops industry global market size, regional shares, competitors with a artificial intelligence (AI) devops market share, detailed artificial intelligence (AI) devops market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) devops industry. This artificial intelligence (AI) devops market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The artificial intelligence (AI) devops market size has grown exponentially in recent years. It will grow from $4.98 billion in 2025 to $6.09 billion in 2026 at a compound annual growth rate (CAGR) of 22.4%. The growth in the historic period can be attributed to rising demand for faster software delivery, increasing adoption of continuous integration and continuous delivery practices, growing complexity of software development, increasing need for automated testing and deployment, and rising demand for improved application reliability.
The artificial intelligence (AI) devops market size is expected to see exponential growth in the next few years. It will grow to $13.48 billion in 2030 at a compound annual growth rate (CAGR) of 22.0%. The growth in the forecast period can be attributed to increasing demand for AI-powered code optimization, rising adoption of predictive incident detection, growing need for autonomous infrastructure remediation, increasing deployment of AI model operations platforms, and rising demand for intelligent DevOps observability. Major trends in the forecast period include increasing adoption of AI-assisted software development, rising use of predictive analytics for DevOps operations, growing adoption of self-healing software infrastructure, increasing automation of continuous integration and continuous delivery pipelines, and rising use of intelligent software monitoring and incident management.
The increasing adoption of cloud computing across enterprises is expected to drive the growth of the artificial intelligence (AI) DEVOPS market in the coming years. Cloud computing across enterprises refers to the use of shared, scalable, and on-demand computing resources, such as storage, applications, and processing power, delivered over the internet to support business operations across multiple organizations. The increasing adoption of cloud computing across enterprises is attributed to its ability to reduce information technology costs by eliminating the need for large upfront investments in physical infrastructure and lowering ongoing expenses related to maintenance, upgrades, and in-house information technology management. The increasing adoption of cloud computing across enterprises is driving artificial intelligence (AI) DevOps by providing scalable infrastructure, on-demand computing resources, and cloud-native services that enable faster AI model development, deployment, automation, and continuous monitoring. For instance, in January 2026, according to Eurostat, a Luxembourg-based official European Union statistical office, in 2025, 52.74% of EU enterprises used paid cloud computing services, primarily for e-mail, office software, and file storage, showing an increase compared with 2023. Therefore, the increasing adoption of cloud computing across enterprises is driving the growth of the artificial intelligence (AI) DEVOPS market.
Major companies operating in the artificial intelligence (AI) DevOps market are focusing on developing innovative solutions, such as agentic AI-driven automation platforms, to improve infrastructure provisioning, deployment efficiency, and real-time system optimization. Agentic AI-driven automation platforms are systems that use autonomous AI agents to independently plan, execute, and optimize complex workflows, including software deployment, infrastructure management, and operational troubleshooting, with minimal human intervention. For instance, in December 2025, DuploCloud Inc., a US-based AI DevOps automation company, launched AI DevOps engineers designed to perform real infrastructure operations, including provisioning, troubleshooting, and optimization tasks. The platform introduces specialized AI agents for Kubernetes management, observability, compliance, cost optimization, and architecture management, operating through DuploCloud's orchestration layer that connects AI agents with enterprise DevOps tools and cloud environments. Additionally, the system incorporates an Agentic Help Desk that enables conversational interactions for incident resolution, deployment execution, and ticket triaging while maintaining human oversight and compliance visibility.
In November 2023, Broadcom Inc., a US-based technology company, acquired VMware, Inc. for $61 billion. Through this acquisition, Broadcom aimed to strengthen its infrastructure software portfolio, expand its hybrid and private cloud capabilities, and accelerate its strategy of becoming a leading infrastructure technology company serving enterprise customers worldwide. VMware Inc. is a US-based company that provides a comprehensive suite of AI and DevOps tools.
Major companies operating in the artificial intelligence (AI) devops market are Amazon Web Services Inc., Google LLC, Microsoft Corporation, International Business Machines Corporation, Oracle Corporation, Intel Corporation, Atlassian Corporation, Datadog Inc., Dynatrace Inc., Progress Software Corporation, GitLab Inc., JFrog Ltd., Perforce Software Inc., DataRobot Inc., Harness Inc., CloudBees Inc., Zymr Inc., DBmaestro Ltd., Rootly Inc.
North America was the dominant region in the artificial intelligence (AI) devops market in 2025. Asia-Pacific is expected to be the rapidly growing region in the forecast period. The regions covered in the artificial intelligence (AI) devops market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the artificial intelligence (AI) devops market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The artificial intelligence (AI) DEVOPS market consists of revenues earned by entities by providing services such as predictive monitoring, intelligent infrastructure management, and automated testing. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence DevOps market also includes sales of containerization platforms, infrastructure as code tools, and kubernetes-based orchestration systems. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
Artificial Intelligence (AI) DEVOPS Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses artificial intelligence (ai) devops market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for artificial intelligence (ai) devops ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) devops market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
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