Hexaware Positioned as a Visionary in the 2026 Gartner® Magic Quadrant™ for Custom Software Development Services
Hexaware Positioned as a Visionary in the 2026 Gartner® Magic Quadrant™ for Custom Software Development Services
Gartner, Magic Quadrant for Custom Software Development Services, By Jaideep Thyagarajan, Ryan McKinney, Nathan Davie, 7 October 2026. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Hexaware.
Case Study
Today’s dynamic business landscape demands that enterprises be data driven. However, the journey to becoming data-centric comes with its unique challenges—from legacy system migration to efficient data monetization.
Hexaware, in collaboration with Snowflake, offers strategies to overcome these challenges, facilitating your enterprise transition into a data-rich environment.
Our innovative suite of services is designed to empower businesses to capitalize on their data. As a Premier Partner of Snowflake, Hexaware is committed to delivering top-tier data services, staying ahead of industry trends with our hands-on approach and growing team of Snowflake-certified professionals.
Leverage the power of Snowflake’s unified platform for a single source of truth and agility across regions and clouds, and enjoy the advantages of efficient, virtually unlimited scalability.
Learn more in our case-study.
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