We're proud to share that Camunda has been positioned as a Leader in the IDC MarketScape: Worldwide Agentic AI Platforms 2026 Vendor Assessment. We believe this recognition validates the vision we've been building toward for years: a single, governed platform where deterministic control and dynamic AI agent behavior work side by side.

IDC defines an agentic AI platform as a software system that enables organizations to build, deploy, govern, and orchestrate AI agents — autonomous, AI-powered components capable of reasoning, decision-making, and multi-step task execution without continuous human oversight. That definition should sound familiar to anyone who has followed Camunda's evolution. In our view, long before "agentic AI" was a category, we were solving the harder problem underneath it: how do you coordinate complex, long-running work across systems, people, and now agents, without losing control of it?

Why we think this market is different from typical AI hype

Enterprises don't have a shortage of AI agents. They have a shortage of trust in what those agents do once they're live. Automation and AI initiatives often live in silos — agents bolted onto existing processes with no shared model of what's actually supposed to happen, who's accountable when it doesn't, and how to prove any of it after the fact. The result is pilot sprawl: promising demos that never make it to production because there's no governance layer strong enough to carry real operational risk.

We believe that's the gap IDC MarketScape's evaluation criteria are built to measure — not just whether a platform can string together agent calls, but whether it can do so with the openness, functionality, service depth, and evidence of customer trust that enterprises actually require before they'll hand agents real authority. Camunda was recognized in the MarketScape for nearly every one of these categories, on both the strategy axis and the capabilities axis — a shape of result we think reflects something structural about how we've approached this market, not a lucky quarter.

The Camunda vision: governance as architecture, not an afterthought

Our core differentiator is that Camunda orchestrates agents from the outside and the inside. Agents participate as coordinated steps in a larger business process, while enforceable, auditable checkpoints sit between every agent decision and the action that follows it. That's not a policy layer bolted on top — it's a property of the BPMN model itself. Every tool call, every reasoning step, every handoff between agent and human is captured natively in Operate, giving customers a real answer to "why did the agent do that?" instead of a pile of raw logs to parse.

This is also why we've built Camunda to span the full automation spectrum in a single model. Zeebe, our distributed orchestration engine, runs deterministic workflow logic and dynamic, agent-driven reasoning side by side — the same engine that already handles millions of concurrent, long-running process instances for mission-critical enterprise work. Teams can dial agent autonomy up or down incrementally as trust grows, rather than standing up a separate "AI process" that breaks the moment reality changes. And because Camunda is open and composable by design — orchestrating agents from any provider or framework via APIs, MCP, and A2A protocols — customers aren't locked into a single model, vendor, or agent runtime.

The evaluation's own strengths analysis echoed this back to us: governed "outside and inside" agent orchestration, a full automation spectrum on a proven engine, and an open, portable stack deployable to any CNCF-certified Kubernetes distribution.

Proof in production, not just on paper

None of this matters if it doesn't hold up with real customers running real workloads. Wellpointe, a healthcare organization, used Camunda to automate 85% of complex medication orders, saving 15 minutes per order through event-driven process automation. Hapag-Lloyd, a global logistics leader, turned to agentic orchestration to close the gap between a 5-day dispute resolution SLA and an actual average of 10–15 days caused by fragmented legacy systems and manual handoffs. These aren't pilots — they're production deployments delivering measurable outcomes, which is exactly the kind of evidence we believe IDC MarketScape's evaluation weighs heavily.

And we're not done innovating

We think what excites us most about this Leader recognition as a Leader is that we believe it validates a vision that's still compounding. Camunda isn't just a place agents run — it's built to become a platform where every process makes the next one faster, safer, and cheaper to run.

That flywheel has three parts. The agentic orchestration core — Zeebe — is the engine underneath it all, running deterministic workflow and agent-driven, dynamic work in a single governed model. Whatever an agent decides in the moment, accountability is always modeled in the process itself, producing durable, auditable execution rather than a black box.

ProcessOS is the enabler that turns that engine into a continuous improvement loop. Now available as part of the platform, ProcessOS acts as an AI-native process intelligence layer: discovering how an organization actually operates today, re-engineering those processes for an AI-native world, generating the executable BPMN, connectors, and decision logic to run them, and then continuously optimizing them in production against the outcomes that matter. It doesn't bolt AI onto existing steps — it works backwards from business outcomes and builds organizational memory that compounds over time.

That compounding is the third part of the flywheel: every process Zeebe runs and ProcessOS touches generates execution data — token cost, cycle time, escalation rate, tool selection, outcome against KPI. As that data accumulates, the platform doesn't just run processes; it starts improving them, so the next process an organization builds is faster to design and safer to run than the last.

We're pairing that flywheel with continued investment in Camunda Hub, our emerging enterprise control plane for governance, private catalog, and multi-cluster management at scale, and in an AI-native developer experience — including a production-grade Skills Repository that teaches coding agents like Claude Code, Cursor, and Copilot the right patterns for building on Camunda. Together, these investments are what let us take the strengths this evaluation recognized — governed orchestration, openness, and a proven engine — and keep compounding them rather than standing still.

What's next

Being named a Leader is a milestone, not a finish line. Our roadmap for the next twelve months centers on three themes: deepening agentic orchestration with ProcessOS and expanded MCP/A2A support, consolidating governance and cluster management into Camunda Hub, and sharpening the AI-native developer experience with a production-grade Skills Repository for coding agents.

Thank you to every customer, partner, and Camundi who helped get us here. If you're evaluating how to bring AI agents into mission-critical, regulated, or long-running processes without losing control of them, we'd love to show you what governed agentic orchestration looks like in practice.Request a demo or learn more about ouragentic orchestration platform.

Access your copy of the IDC MarketScape for Agentic AI Platforms MarketScape2026 excerpt

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