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.
Report
From Pilots to Autonomy: Scaling AI in Manufacturing
Senior technology and operations leaders convened at the April 2026 Engineering and Manufacturing Roundtable to examine the rapid rise of Agentic AI in manufacturing and what it takes for enterprises to move from experimentation to fully autonomous operations. This report captures the most important insights and priorities shaping the next era of intelligent production.
Modern manufacturers are accelerating investments in smart manufacturing, exploring new AI use cases in manufacturing, and navigating the complexities of manufacturing digital transformation. Yet the roundtable made one reality clear: technology is no longer the bottleneck—enterprise readiness is.
Inside the report, you’ll discover how leaders are rethinking governance, data strategy, and operating models to scale AI systems that enhance autonomy, improve resilience, and enable optimized throughput. You’ll also see how AI applies to real-world challenges, such as AI-driven field service operations, predictive decision-making, and AI for OEE improvement.
The discussion also details the new capabilities required for an effective Enterprise AI adoption strategy, including guardrails for human‑in‑the‑loop oversight and frameworks for operational ownership across plants and business units.
Download the full roundtable report to understand the signals shaping AI adoption over the next 12–24 months—and what competitive leaders are doing right now to prepare.
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