Domino is a 2X Visionary in the 2025 Gartner® Magic Quadrant™ for DSML
Domino2025-05-30 | 6 min read

Domino Data Lab has been named a Visionary for the second consecutive year in the Gartner Data Science and Machine Learning (DSML) Magic Quadrant. For Domino, this consistent recognition underscores our role as a strategic partner for highly regulated enterprises navigating the ever-evolving AI landscape. We believe, it signals sustained market momentum and a reliable, forward-looking approach you can trust.
From our perspective, this repeated recognition in the Gartner DSML Magic Quadrant validates Domino's approach, built on three core pillars: data and infrastructure orchestration that unifies teams and tools without tradeoffs; an AI factory that turns experiments into production-ready applications; and a system of record for trusted, reusable AI with governance built in. Access the report.
Why enterprise AI governance matters in 2025
Effective AI governance has become a key differentiator for successful enterprise AI programs, allowing organizations to move from isolated experiments to production-ready applications that deliver measurable results. Organizations in regulated industries face significant challenges as they strive to scale AI initiatives while complying with complex regulatory requirements. Many AI projects stall after the pilot phase, creating a significant gap between AI experimentation and business value.
As the AI landscape matures, new regulations such as the EU AI Act, shift standards and governance approaches for enterprises. These changes come as organizations also grapple with infrastructure constraints, including GPU shortages and rising cloud costs that put upward pressure on AI budgets.
What 2X recognition signifies for AI leaders
Domino Data Lab has been named a Visionary in the 2025 Gartner Magic Quadrant for DSML Platforms. This report evaluates vendors based on two primary dimensions: Completeness of Vision and Ability to Execute.
Domino delivers an innovative approach on solving complex AI challenges. Gartner evaluated data science and machine learning vendors worldwide, with Domino, among other vendors, positioned in the Visionaries Quadrant.
Industry-specific governance approaches
Different industries face unique challenges when implementing AI governance. The most valuable enterprise AI use cases demand flexibility for innovation, standardization for production, and rigorous control over risk and quality. Domino helps industry-wide organizations streamline governance — empowering data science and IT teams, integrating seamlessly with the data ecosystem, and offering expertise to accelerate time-to-value for these complex, mission-critical initiatives.
Financial services: Model risk management and explainability
- Financial institutions, including banking and insurance, must meet strict requirements for model validation, documentation, and explainability.
- Domino provides tools for model risk management in fraud detection and credit applications.
- Financial services can maintain comprehensive audit trails while allowing data science teams to use their preferred tools and frameworks.
Life sciences: GxP compliance and research acceleration
- Pharmaceutical and healthcare organizations must balance innovation speed with rigorous documentation.
- Domino helps automate compliance documentation for regulatory submissions.
- Life sciences organizations can accelerate clinical research through reproducible workflows and standardized environment management.
Public sector: Transparency, security, and responsible AI
- Government agencies face unique requirements around transparency and security classifications.
- Domino supports these organizations with deployment options that meet strict security requirements.
- Public sector and agencies gain visibility into how models are developed and used while supporting responsible AI principles.
Each industry benefits from governance workflows that adapt to their specific regulatory needs while maintaining a common foundation for best practices.
Conclusion: Driving business value with governed AI
We believe being recognized as a Visionary in the Gartner Magic Quadrant for the second consecutive year validates Domino's approach to enterprise AI. The platform enables organizations to balance innovation with governance requirements, addressing the key challenges that prevent AI initiatives from effectively scaling.
By providing structured workflows, automated documentation, and efficient resource management, Domino helps regulated enterprises move beyond experimental AI to production applications that deliver measurable business value.
Download the complimentary 2025 Gartner Magic Quadrant for Data Science and Machine Learning Platforms report to see the complete analysis of the market and Domino's position as a Visionary.
Gartner Disclaimer:
Gartner, Magic Quadrant for Data Science and Machine Learning Platforms, Afraz Jaffri, Maryam Hassanlou, Tong Zhang, Deepak Seth, Yogesh Bhatt, 28 May 2025.
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Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino’s Enterprise AI Platform provides an integrated experience encompassing model development, MLOps, collaboration, and governance. With Domino, global enterprises can develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.