Spotlight

Report:

Magic Quadrant for Augmented Data Quality Solutions

Top Products Added to Evaluation in 2024

Vendors or products added in this year’s report may indicate a change in the market, change in evaluation criteria, or change of focus by the vendor.


Top Products Removed from Evaluation in 2024

Vendors or products dropped from one year to the next may indicate a change in the market, change in evaluation criteria, or change of focus by the vendor.

Notable Context

Augmented data quality, driven by AI, metadata and knowledge graph, is dominating the data quality market. Traditional data quality vendors face fierce competition due to outdated technologies. The market has shifted focus to augmented data quality solutions, which bring greater automation and augmentation in data quality processes. Organizations face increasingly complex data quality challenges due to rapid growth of distributed data landscapes, data diversity, and growing number of new business requirements. The emerging use case in supporting AI-ready data for GenAI-related initiatives makes the demand even higher. By 2025, 90% of data quality technology buying decisions will focus on ease of use, automation, operational efficiency and interoperability as the critical decision factors. By 2025, 80% of mainstream data quality vendors will expand their product capabilities to provide greater data insights by discovering patterns, trends and relationships of data, in addition to error resolution.


FAQs

Q: Why do vendors appear one year and not the next?

A: Vendors are reviewed and adjusted based on market changes and inclusion criteria adjustments. A vendor's appearance in a Magic Quadrant one year and not the next does not necessarily indicate a changed opinion of that vendor - it may reflect a change in the market and evaluation criteria, or a change of focus by that vendor. The inclusion criteria represent specific attributes necessary for inclusion in this research. For this cycle, vendors must support augmentation of critical data quality functions by leveraging AI/ML features, graph analysis and metadata analytics. Vendors that did not demonstrate this were seen as lacking vision and were excluded. The market has started to recognize vendors that have a strong roadmap for augmented capabilities. Vendors that fail to pivot to augmented capabilities will be irrelevant after the market reconsolidates.


Q: How do I interpret a Gartner Magic Quadrant?

A: https://www.gartner.com/en/research/methodologies/magic-quadrants-research

Reference

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