Magic Quadrant for Data Integration Tools
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.
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.
The data integration tools market is thriving due to upcoming requirements for data fabric architectures and data product delivery, as well as the need for integrated data to support GenAI. Through 2026, manual data integration tasks will be reduced by up to 30% through the adoption of data fabric design patterns that support augmented data integration. By 2026, AI-augmented data management and integration will reduce the need for IT specialists (in particular, data integration developers and data engineers) by up to 40%. By 2025, data integration tools that do not provide capabilities for multicloud/hybrid data integration through a PaaS model will lose 50% of their market share to those vendors that do.
A: We review and adjust our inclusion criteria for Magic Quadrants as markets change. As a result of these adjustments, the mix of vendors in any Magic Quadrant may change over time. A vendor's appearance in a Magic Quadrant one year and not the next does not necessarily indicate that we have changed our opinion of that vendor. It may be a reflection of a change in the market and, therefore, changed evaluation criteria, or of a change of focus by that vendor.