12 March 2025

It’s Official: Qlik is a Leader in the 2025 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions

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For the sixth time, Gartner has named Qlik a Leader in the Magic Quadrant for Augmented Data Quality Solutions for 2025.

In the age of AI, data quality is not just important; it is critical. AI initiatives will fail without trusted, quality data, whether they are delivering reliable AI-driven insights or powering generative AI models.

Qlik realised that AI is only as good as the data that supports it. That’s why we’re happy to hear that Gartner has named Qlik a Leader once again. We believe the recognition confirms Qlik’s strategy and the confidence that 40,000 clients and 1,850 partners worldwide have placed in it. By integrating data quality processes across Qlik’s whole data and analytics platform. Qlik ensures trust and high-quality data at every stage, from ingestion to insight.

Key takeaways:

  • Qlik is at the forefront of data quality innovation, enabling AI use cases with the Qlik Trust Score for AI. New interfaces between OpenAI and Pinecone enable RAG scenarios, curated data products, and API-driven data preparation.
  • Qlik Cloud’s acquisition of Kyndi, along with its excellent structured data capabilities, provides expanded solutions for processing and managing high-quality unstructured data.
  • Qlik users can employ AI and ML to improve data quality through automated standardization, anomaly detection, and intelligent remediation. Models that learn from metadata and user comments power all of them.
  • Qlik’s hybrid and multi-cloud support enables businesses to optimize costs, scale efficiently, and maintain control across different deployments.

With AI transforming businesses, the demand for trustworthy, high-quality data has never been higher. We are happy that Gartner has once again recognized Qlik as a Leader in this category for 2025. This verified Qlik’s dedication to innovation, data integrity, and AI-powered insights.

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Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. These search publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 

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Barry has over 20 years experience as a Data & Analytics architect, developer, trainer and author. He will gladly help you with any questions you may have.