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Dataiku Named a Leader for Unified AI Governance in IDC MarketScape 2025-2026

As enterprises scale generative AI and AI agents across the business, governance has evolved from a compliance function into core operational infrastructure. 

Organizations need to manage risk, ensure accountability, and maintain visibility — all without slowing innovation.

The IDC MarketScape: Worldwide Unified AI Governance Platforms 2025–2026 Vendor Assessment reflects this shift. And we’re proud to share that Dataiku has been named a Leader in the assessment.

 “Organizations should consider Dataiku if they need unified governance for analytics, traditional machine learning, generative AI, and agentic systems in a single platform that embeds governance controls throughout the entire AI lifecycle, rather than treating governance as a separate add-on.”

IDC MarketScape: Worldwide Unified AI Governance Platforms 2025-2026

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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.

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Why Unified AI Governance Matters Now

AI portfolios are expanding quickly. Models, GenAI applications, and AI agents are moving into production across teams, tools, and clouds. This speed is often faster than governance frameworks can adapt.

According to the IDC MarketScape report, “Over the past two years, AI governance has become increasingly important to organizations around the world. Challenges ranging from detecting and reducing false signals to identifying and removing bias from AI-generated responses have emerged as organizations begin to adopt traditional machine learning (ML), generative AI (GenAI), and agentic AI at scale.

In response to these challenges, vendors have begun to develop, sell, and deploy end-to-end, unified AI governance solutions that include all the features necessary to establish a trusted AI environment and ensure compliance with regulations at the highest level.” Rather than governance for governance sake, it’s enabling enterprise AI to scale responsibly and efficiently.

Why IDC MarketScape Recognized Dataiku as a Leader

The IDC MarketScape evaluation looks at both current capabilities and long-term alignment with enterprise needs. Dataiku was recognized for the following strengths:

Embedded Governance With Enforced Deployment Controls

Dataiku embeds governance directly into the AI development and deployment workflow, using built-in enforcement mechanisms that prevent noncompliant AI systems from being deployed into production. 

Project standards automatically validate each project's compliance against organizational policies prior to release, while the Govern Node enforces mandatory signoffs and approvals through customizable workflows. These workflows include automated review cycles, flexible reviewer assignments, and granular notifications, ensuring that only validated, compliant, and trusted AI assets advance to production environments.

End-to-End Lifecycle Governance

Dataiku provides full life-cycle governance that spans DataOps, MLOps, and LLMOps, unifying every stage of the AI life cycle — from design and experimentation through data preparation, machine learning, generative AI, and application development to production orchestration and monitoring — within a single integrated platform. 

This holistic approach removes the need for multiple point solutions by embedding governance, compliance, and scalability throughout the process rather than adding them later. Organizations gain consistent control through unified metadata management, approval workflows, audit trails, and monitoring tools that apply seamlessly across traditional analytics, machine learning models, and agentic AI systems, reducing tool sprawl and ensuring cohesive, end-to-end governance.

Enabling AI at Scale Without Slowing the Business

True unified AI governance avoids additional friction. Instead, it gives teams the confidence to move faster, collaborate more effectively, and deliver measurable business value responsibly.

That’s precisely what the IDC MarketScape 2026 is designed to help technology leaders evaluate. 

See How Dataiku Delivers Unified AI Governance

Explore Dataiku AI Governance

IDC MarketScape: Worldwide Unified AI Governance Platforms 2025–2026 Vendor Assessment, Doc #US53514825, December 2025. IDC does not endorse any vendor, product, or service depicted in its research publications.

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