Figure 1. Gartner MQ for Augmented Data Quality Solutions

Data quality has never mattered more, and we are proud that Informatica has once again been recognized as a Leader in the Gartner® Magic Quadrant™ for Augmented Data Quality Solutions (Figure 1).

We feel this recognition reflects our long-standing commitment to helping organizations deliver trusted, high-quality data at enterprise scale. As AI moves from pilot projects to a core business capability, augmented data quality is no longer a downstream cleanup task — it is an essential foundation for innovation.

Organizations today are in a race to become data-driven, but they face two major roadblocks.

Growing data complexity.

Data landscapes continue to expand across hybrid and multi-cloud environments. Traditional, manual approaches to data quality struggle to keep pace with the scale, speed and diversity of modern data.

The AI trust gap.

Confidence in AI is rising, but many organizations acknowledge that their ability to govern, validate and observe the data fueling AI models lags behind. This gap between trust and operational readiness introduces risk and is a common reason AI initiatives struggle moving beyond pilot to production.

Augmented data quality helps organizations shift from reactive to proactive data quality practices. By applying AI and metadata-driven intelligence to automate quality management, organizations can:

• Identify and address data issues earlier, closer to the source
• Enforce consistent quality standards across systems and domains
• Reduce manual effort and operational friction
• Build a reliable data foundation for analytics, operations and generative AI

Together, these benefits help create data quality that scales with the business and supports faster, more confident decision-making.

High-quality data is the starting point, but real value comes from consistency, visibility and control. When data quality is embedded across integration, governance and mastering processes, teams can work from a shared, trusted view of data.

This is especially critical for AI. Fluent, confident-sounding AI outputs must be earned through verifiable, well-governed data. Augmented data quality provides continuous validation and monitoring, which helps ensure AI outcomes are not only intelligent but also trustworthy.

At Informatica, we believe data quality should not exist in isolation. It must be an integral part of a unified data management platform.

Our AI-powered Intelligent Data Management Cloud™ enables organizations to define quality rules once and apply them consistently wherever data is used. This platform-driven approach helps scale trust and visibility across the enterprise while helping reduce tool, policy and process fragmentation. As data and AI usage grows, this foundation of trust grows with it.

As AI continues to evolve, the need for augmented, scalable and automated data quality will only intensify. We believe our continued placement as a Leader in this Gartner evaluation reinforces our focus on delivering the innovation organizations need to reduce risk, move faster and unlock greater value from their data.

Ready to build a stronger foundation of trust for your AI initiatives?

Download your complimentary copy of the Gartner Magic Quadrant for Augmented Data Quality Solutions to learn more.

^{Gartner Magic Quadrant for Augmented Data Quality Solutions, Sue Waite, Divya Radhakrishnan, Amy Bickel, 11 February 2026}

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