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.
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It’s the corporate sustainability reporting directive (CSRD) reporting season. You’ve been here before, haven’t you? Scope 1 emissions data is sitting in the environmental, health, and safety (EHS) system. Scope 2 is somewhere in facilities management’s domain. Scope 3? Oh, that’s buried in an endless spreadsheet from procurement. And then there’s the finance team—they’re working from their own model, which, as far as anyone can tell, wasn’t built by anyone still on the team. It’s chaos, and you’re left piecing it all together with email chains, late-night calls, and way too much coffee. The truth is, this isn’t just a technology problem. It’s an architecture problem. And most enterprises are still trying to solve it with duct tape and spreadsheets. Having spent years advising enterprises at enterprise risk management (ERM) and in the Big 4 advisory world, I’ve seen this play out time and again—different industries, different tools, but the same underlying challenge. The data problem is the problem. Everything else—strategy, compliance, disclosures—flows downstream from it. Let’s dive into why things are still broken and what it’s going to take to fix them.
If you’ve ever tried to map out where environmental, social, and governance (ESG) and EHS data reside in an enterprise, you’ll know it’s a labyrinth. Here’s a snapshot of the typical setup:
Each of these systems is owned by a different department, runs on a different release cycle, and operates with a different data model. None of them talks to each other natively. The result? Silos everywhere. The seam between ESG and EHS is where the most value—and the most risk—sits unmanaged. For example, incident data from EHS platforms often doesn’t make its way into ESG materiality assessments. Supply chain data is rarely integrated into social or governance disclosures. And don’t even get me started on HR and legal data—it’s often lumped into the “we’ll figure it out later” bucket. In my experience, the average enterprise has between four and seven systems holding material ESG/EHS data. Not one of those systems talks to another seamlessly. The result? A fragmented landscape that makes accurate, timely reporting nearly impossible.
You’re probably wondering: if this is such a widespread problem, why hasn’t anyone solved it? Well, they’ve tried. But the solutions haven’t lived up to the promise. Here are the three waves of attempted fixes I’ve seen over the years:
Ironically, the proliferation of SaaS tools over the last five years has made things worse. More tools mean more contracts, more vendor lock-in, and more disconnected data. Meanwhile, regulatory pressure from frameworks such as the CSRD, the UK sustainability disclosure requirements (SDR), and the Taskforce on Nature-related Financial Disclosures (TNFD) is outpacing most integration roadmaps. The result? Enterprises are stuck in a reactive mode, constantly playing catch-up instead of building a sustainable, scalable data ecosystem.
Let’s talk about what this fragmentation is really costing your enterprise. Because this isn’t just an inconvenience—it’s a drain on your resources, your reputation, and your ability to act strategically.
The conversations I’ve had with sustainability directors across sectors consistently surface the same frustration: The data exists. The problem is getting it to the right place, in the right form, at the right time.
The summer of 2026 has underscored the urgency of ESG compliance. Wildfires swept through southern France and Spain, marking the third consecutive extreme heat event in the region. These fires displaced over 300,000 people across the Gironde and Madrid regions and burned land well above the decade average for the third year in a row. For companies with operations, supply chains, or physical assets in affected regions, this posed a critical question: What are our TNFD physical risk disclosures, and do we have the data to support them? For most enterprises, the honest answer was no. As regulatory frameworks such as TNFD demand more detailed disclosures of physical and transitional risks, the lack of integrated data systems poses a significant liability. Each new framework, climate event, or enforcement cycle adds to what experts call “reporting debt”—the growing gap between regulatory obligations and the infrastructure to meet them.
The Zero License model introduced by Hexaware aligns seamlessly with the challenges outlined in the blog, particularly in addressing the fragmented and siloed nature of ESG and EHS data systems. Traditional ESG platforms and SaaS tools often exacerbate the problem by adding layers of complexity and locking enterprises into per-seat or per-module licensing models that restrict data access and collaboration. The Zero License approach shifts the focus from managing tools to achieving outcomes by introducing an AI-enabled integration layer that eliminates licensing friction, traces data lineage, and reconciles inconsistencies across systems. This model not only simplifies the technology landscape but also empowers enterprises to meet accelerating regulatory demands, such as CSRD and UK SDR, with greater efficiency and confidence. By removing the manual tax of reconciling disparate data sources and enabling seamless integration, Zero License provides a structural advantage for enterprises striving to achieve a unified “one source of truth” for sustainability reporting.
Here’s the good news: this problem can be fixed. But the solution isn’t another platform. It’s a data layer—a memory fabric—that sits across your existing systems and enables true integration. Here’s what that looks like:
Enterprises that solve this within the next 18 months will have a structural advantage. They’ll be faster, more transparent, and better positioned to navigate an increasingly complex regulatory landscape. Those that don’t? They’ll still be chasing their EHS manager for a spreadsheet the night before a board disclosure.
At Hexaware, we’re building exactly this kind of integration layer with Zero License. Whether it’s tackling ESG and EHS data silos, integrating AI into reporting, or preparing for CSRD, we’re here to help you build a data architecture that works—not just for this reporting season, but for the long haul. Empower your team. Eliminate the manual tax. And take control of your ESG and EHS data. You’ve got this—and we’re here to help. If this mirrors your experience, let’s talk.
It connects disparate systems—EHS platforms, GHG tools, ERPs, and procurement data—into one unified, auditable source of truth for environmental, social, and governance reporting.
Siloed data prevents full lineage tracking, making it impossible to demonstrate how disclosure numbers were derived, increasing regulatory non-compliance and audit exposure.
AI traces data lineage from source to disclosure, flags anomalies before reporting, and automates reconciliation across fragmented EHS and ESG systems.
It eliminates per-user and per-module fees on ESG platforms, removing budget-gated access so all teams can contribute and consume data freely.
By removing licensing barriers, enterprises avoid rationed data access, reduce analyst reconciliation time, and lower the total cost of compliance and disclosure.