State of Agentic AI Report: Key Findings

Source: Docker Blog

Based on Docker’s State of Agentic AI report, a global survey of more than 800 developers, platform engineers, and technology decision‑makers, this summary highlights key findings on how agentic AI is scaling within organizations. Drawing on insights from decision‑makers and purchase influencers worldwide, we preview where teams are seeing early wins and 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.
• 94 % view building agents as a strategic priority.
• Most deployments remain internal and focus 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.
• 45 % struggle 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.

MCP shows promise but isn’t enterprise‑ready

• 85 % of teams are familiar with the Model Context Protocol (MCP).
• Most report significant security, configuration, and manageability issues that prevent production‑scale deployment.

Fear of vendor lock‑in is real

Enterprises worry about dependencies in core agent and agentic infrastructure layers such as model hosting, LLM providers, and cloud platforms.

• 76 % of global respondents report active concerns about vendor lock‑in.
• Regional concerns: 88 % in France, 83 % in Japan, and 82 % in the UK.

Containerization remains foundational

• 94 % use containers for agent development or production.
• 98 % follow the same cloud‑native workflows as traditional software, establishing containers as the proven substrate for agentic AI infrastructure.

Long‑term outlook

Rather than a “year of the agents,” the data points to a decade‑long transformation. Organizations are laying the governance and trust foundations now for scalable, enterprise‑grade agent ecosystems.

The path forward

The path forward doesn’t require reinvention so much as consolidation around a trust layer:

• Access to trusted content and components that can be safely discovered and reused.
• Secure‑by‑default runtimes.
• Standardized orchestration and policy.
• Portable, auditable packaging.

Agentic AI’s near‑term value is already real in internal workflows; unlocking the next wave depends on standardizing how we secure, orchestrate, and ship agents. Teams that invest now in this trust layer, on top of the container foundations they already know, will be first to scale agents from local productivity to durable, enterprise‑wide outcomes.

Download the full report:
State of Agentic AI report

Learn more

• Get your copy of the latest State of Agentic AI report.
• Learn more about Docker’s AI solutions.