• State of Agentic AI Report: Key Findings Based on Docker’sState of Agentic AI report, a global survey of more than 800 developers, platform engineers, and technology decision-makers, this blog summarizes key findings of what’s really happening as agentic AI scales within organizations. • Drawing on insights from decision-makers and purchase influencers worldwide, we’ll give you a preview on not only where teams are seeing early wins but also what’s still missing to move from experimentation to enterprise-grade adoption. • Rapid adoption, early maturity 60% of organizations already have AI agents in production, and 94% view building agents as a strategic priority, but most deployments remain internal and focused on productivity and operational efficiency. • Security and complexity are the top barriers 40% of respondents cite security as the #1 challenge in scaling agentic AI, with 45% struggling to ensure tools are secure and enterprise-ready. • Technical complexity compounds the challenge. • One in three organizations (33%) report orchestration difficulties as multi-model and multi-cloud environments proliferate (79% of organizations run agents across two or more environments).

Article Summaries:

  • Docker’s State of Agentic AI report surveyed over 800 tech leaders worldwide. It found that 60 % of organizations already run AI agents in production, and 94 % consider building agents a strategic priority, though most deployments remain internal and productivity‑focused. Security is the top barrier, cited by 40 % of respondents, with 45 % struggling to secure tools and 33 % facing orchestration challenges across multi‑model, multi‑cloud environments. While 85 % know the Model Context Protocol, many report security and manageability issues. Vendor lock‑in worries affect 76 % globally, rising to 88 % in France. Containers dominate agent infrastructure (94 % use them), and the industry expects a decade‑long shift toward enterprise‑grade, trust‑layer‑enabled agent ecosystems.

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