Dataiku named a Leader in the 2026 IDC MarketScape for agentic AI platforms

AI agents are moving out of pilots and into the systems enterprises run on every day. That shift raises the stakes. Each agent in production has to work with the models, clouds, and data already in place, and meet the same security and compliance bar from first build through every update.

IDC MarketScape has now published its first evaluation of the platforms built for this moment. We're proud to share that Dataiku has been named a Leader in the IDC MarketScape: Worldwide Agentic AI Platforms 2026 Vendor Assessment, Neil Ward-Dutton, Doc. #US54140926, October 2026.

We believe this recognition reflects how CIOs and CTOs now evaluate agentic AI — by how well a platform supports the full agent lifecycle, from first build to governed production on the infrastructure they already have.

"Dataiku suits enterprises wanting a governed, model- and cloud-agnostic platform to build high-value AI agents on their existing data and machine learning investments — especially those that are regulated or sovereignty-conscious, needing on-premises or air-gapped deployment."

IDC MarketScape: Worldwide Agentic AI Platforms 2026 Vendor Assessment

^{IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of technology and suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each supplier’s position within a given market. The Capabilities score measures supplier product, go-to-market and business execution in the short-term. The Strategy score measures alignment of supplier strategies with customer requirements in a 3-5 year timeframe. Supplier market share is represented by the size of the icons.}

Why the agent lifecycle matters now

Agent pilots are becoming production deployments across teams, tools, and clouds. In many enterprises, that growth is outpacing the controls built to keep it in check.

Every agent in production depends on models that keep evolving, data spread across many systems, and policies that have to hold through each update. Managing that across dozens or hundreds of agents calls for one platform that covers the full lifecycle: build, deploy, monitor, and govern.

"The platform decision is becoming a lifecycle decision, not a build decision. Dataiku was recognized in this assessment for supporting agents across that whole lifecycle, on the clouds, data, and models enterprises already run on. That's a shift we're seeing across the market as buyers get more disciplined about what they put into production."

Neil Ward-Dutton, Research VP, Agentic Automation & AI Technologies at IDC

Why we believe IDC MarketScape recognized Dataiku as a Leader

The IDC MarketScape assessed vendors on both current capabilities and long-term strategy. According to the report, "Dataiku's agentic AI platform draws agent build and deploy capabilities from the core Dataiku platform and Agent Hub; orchestration, security, and governance capabilities are fed by its LLM Mesh."

Teams can build agents in a visual designer or with third-party coding tools, then run them all under one set of controls. IDC MarketScape noted three strengths in Dataiku's approach.

Agnostic, sophisticated agent management layer

Dataiku's LLM Mesh lets agents use any LLM and data source and provides one place where sophisticated operational controls can be applied to agents. A unified monitoring capability creates one place to track health, drift, and performance of data pipelines, ML models, and agentic applications and to analyze the root causes of any problems. agent lifecycle governance

As well as having LLM Mesh apply operational controls to AI agents, Dataiku Govern provides workflow tooling that customers can use to define and enforce approval and compliance policies as part of the agent development and deployment lifecycle. Sovereign, full-stack deployment

The entire Dataiku stack can be deployed on-premises or even air-gapped for sensitive workloads.

Building the foundation for enterprise agentic AI

As models converge, every enterprise has access to the same raw capability. We believe the advantage comes from everything around the models. Namely, the people building with them, the orchestration connecting them, and the governance keeping them in check.

Dataiku brings agent development, orchestration, monitoring, and governance together in a single platform. Teams can build on the models, clouds, and infrastructure they already have, and adapt as those choices change.

"Nobody knows which model, tool, or cloud will matter in three years, but enterprises can't wait to find out," said Florian Douetteau, CEO and co-founder of Dataiku. "The agents they put into production today have to meet the same security and compliance bar, whatever they run on next. That's what a platform has to deliver."

We believe our recognition as a Leader reinforces our commitment to helping enterprises turn agentic AI into governed, production-ready systems that deliver measurable value.

^{Source: IDC MarketScape: Worldwide Agentic AI Platforms 2026 Vendor Assessment, Doc. #US54140926, October 2026}