State of Agentic AI Report: Key Findings

Docker Blog

by Yiwen Xu

February 20, 2026

AI-Generated Deep Dive Summary

Docker’s latest *State of Agentic AI* report reveals that organizations are rapidly adopting agentic AI, with 60% already deploying AI agents in production. Despite this progress, challenges such as security concerns, technical complexity, and vendor lock-in remain significant barriers to enterprise-scale adoption. The report highlights how teams are leveraging containers—94% of respondents use containers for agent development or production—as the foundational technology for agentic AI infrastructure. However, long-term success will require addressing gaps in governance, trust, and standardization. Key findings show that while 94% of organizations view building AI agents as a strategic priority, most deployments are still limited to internal productivity and operational efficiency. Security is cited as the top challenge by 40% of respondents, with concerns around securing tools and ensuring they are enterprise-ready. Additionally, 76% of global enterprises worry about vendor lock-in, particularly in core infrastructure layers like model hosting and cloud platforms. The report also explores the potential of the Model Context Protocol (MCP), which is widely recognized but faces hurdles such as security vulnerabilities and configuration issues. Containers continue to play a pivotal role, with 98% of organizations following cloud-native workflows for agent development and production. However, scaling agentic AI will require focusing on trust, secure-by-default runtimes, standardized orchestration, and portable packaging. For DevOps professionals, the findings underscore the importance of containers in enabling agentic AI while highlighting the need to address long-term challenges like governance, security, and standardization. The report suggests that investing in a “trust layer” for AI agents—built on top of existing container foundations—will be critical for unlocking their full enterprise potential.

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Originally published on Docker Blog on 2/20/2026