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.
Event
AI is no longer just an experiment in software development. It is now translating intent into code, automating workflows, and improving quality across the entire SDLC. The real question for enterprise leaders not whether to use AI, but how to scale it with speed, trust, and control.
Join us in New York on March 26, 2026, for an AI-Driven Software Engineering Roundtable, a focused, peer-level discussion with technology leaders who are shaping the future of modern engineering.
Roundtable Theme
AI in the SDLC: From Experimentation to Enterprise Advantage
AI is rapidly becoming a core layer of the software delivery lifecycle. Leaders today must figure out how to institutionalize AI in software development without slowing delivery, compromising quality, or losing governance.
This session will explore the shift through three critical lenses:
Enterprise Perspective: How do organizations embed enterprise AI into software delivery at scale while maintaining control, reliability, and compliance?
Engineering Perspective: What does an AI-native engineering workflow look like, and how does it improve both speed and quality across the SDLC?
Market Perspective: As models and platforms evolve quickly, what will enterprises invest in long term and what will they actually stick with?
Speakers
Join a select group of technology leaders for a candid, high-impact conversation on how AI is reshaping software engineering at scale.
Book a Meeting
Schedule some 1 on 1 time with our experts