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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Digital transformation can create meaningful improvements across an enterprise, but deciding where to start is often harder than identifying what could be improved.
Most large organizations already have digital investments in place. They may have cloud platforms, modern applications, analytics capabilities, automated processes, and digital customer channels. At the same time, they may still rely on legacy systems, fragmented data, manual workflows, or disconnected technology initiatives.
This makes a simple question difficult to answer: What should we transform next?
A digital maturity assessment can help enterprise leaders answer that question with greater clarity.
Rather than looking at technology in isolation, a maturity assessment provides a structured view of the organization’s current capabilities across areas such as strategy, technology, data, processes, people, customer experience, and governance. The results can then be used to identify gaps, compare priorities, and build a transformation roadmap.
The value is not the maturity score itself. The value comes from using the assessment to make better decisions about where to invest, what to address first, and what can wait.
A digital maturity assessment evaluates how effectively an organization uses digital capabilities to support its business objectives.
It looks at the organization’s current state and compares it with the capabilities required to achieve its future goals.
The dimensions can vary depending on the organization and assessment framework. Common areas include:
There is no universal maturity model that fits every enterprise. The assessment should reflect the organization’s industry, business model, strategic priorities, and transformation objectives.
For example, the Digital Maturity Framework identifies 17 competencies, including culture, leadership, budget, innovation, technology, and data, and describes five maturity levels for each. The ISO Digital Capability Maturity Assessment Models, designed for national standards bodies, take a similar approach by tying maturity assessment to corporate strategy, a transformation roadmap, implementation, and measurement.
The common principle is straightforward: understand the current capability before deciding how to improve it.
Transformation programs often fail to deliver their intended value when organizations focus on individual technology initiatives without considering the wider capabilities needed to support them.
For example, an organization might want to introduce AI-powered decision-making. But if its data is fragmented, governance is unclear, and employees lack the skills to use the new capability, the technology investment may not deliver the expected outcome.
A maturity assessment brings these dependencies into view. It can help leaders understand:
A 2026 Springer study proposes a multi-dimensional, hierarchical digital transformation maturity index for e-business environments, intended to help managers optimize transformation investments.
This makes maturity assessment useful as a decision-making tool rather than simply a benchmarking exercise.
A digital maturity assessment should begin with the business strategy.
The question is not simply, “How digitally mature are we?” A more useful question is, “Are our digital capabilities strong enough to support where the business needs to go?”
Suppose an enterprise wants to improve customer retention through more personalized digital experiences. The assessment should then examine the capabilities that support that objective. These might include:
Another organization may have a priority around operational efficiency. Its assessment might focus more heavily on process automation, application modernization, data integration, and workforce capabilities.
This strategy-first approach keeps the assessment connected to business outcomes.
Once strategic priorities are clear, organizations can assess their current capabilities.
Consider whether digital priorities are clearly defined and connected to the wider business strategy. Questions might include:
Digital maturity is partly an organizational issue. A strong technology team cannot compensate for unclear priorities or fragmented decision-making.
Assess the application and infrastructure environment. Look at:
The goal is not to label legacy technology as automatically bad. Some older systems continue to support critical business processes effectively. The important question is whether the existing environment can support the organization’s future requirements.
Assess how easily the organization can access, manage, govern, and use data. Consider:
A mature data environment should support business decisions rather than simply store information.
Examine how work gets done. Look for manual activities, duplicated work, inconsistent processes, unnecessary handoffs, and opportunities for automation.
Process maturity matters because digital technology often delivers value by changing how work is performed, rather than simply replacing one tool with another.
Assess whether employees have the capabilities needed to support the transformation strategy. This may include digital skills, data literacy, AI skills, technology expertise, change management, and leadership capabilities.
Training can address some gaps. Others may require new roles, new operating models, or external expertise.
Digital maturity should also be considered from the perspective of the people using the organization’s services and systems. Look at:
Technology can be technically sound while still creating friction for users.
One of the biggest risks in a maturity assessment is relying entirely on opinions.
A leadership team may believe that data is well governed. A business team may have a different experience. Technology teams may assess application integration differently from the employees who use those applications every day.
A stronger assessment combines multiple sources of evidence. These can include:
The objective is to create a realistic view of current capabilities. The more evidence-based the assessment, the more useful its findings are when leaders need to make investment decisions.
Many maturity assessments use levels to describe capability. For example, an organization might use a five-level scale ranging from foundational or ad hoc capabilities through to optimized and continuously improving capabilities.
The exact labels matter less than having a consistent definition for each level.
A maturity score should describe a capability, not become a target in itself. An enterprise does not necessarily need to reach the highest maturity level in every area. If a particular capability has little connection to the organization’s strategic objectives, investing heavily to reach a higher maturity level may not make business sense.
This is one of the most important principles for using a digital maturity assessment effectively:
Maturity should be evaluated in the context of business priorities.
Once the assessment is complete, leaders will likely have a list of capability gaps. The next step is deciding which ones matter most. A useful way to prioritize gaps is to consider four questions:
This approach helps move from a maturity assessment to an investment conversation.
A maturity heatmap can make assessment findings easier for leaders to understand. For each capability, show:
For example:
| Capability | Current State | Desired State | Priority |
| Data integration | Fragmented | Connected | High |
| Cloud adoption | Developing | Scaled | Medium |
| Process automation | Limited | Optimized | High |
| Digital customer experience | Established | Personalized | High |
| AI capabilities | Experimental | Production-ready | Medium |
The actual categories and ratings should come from the organization’s assessment. The value of the heatmap is that it helps leaders see where capability gaps intersect with strategic priorities.
Not every transformation initiative has the same role. Some initiatives create foundational capabilities that enable other work.
For example, improving data integration may not immediately create a visible customer benefit. But it could enable analytics, AI, personalization, and better reporting across multiple functions.
Other initiatives may produce more direct business outcomes. A mature transformation portfolio should consider both. This prevents organizations from focusing only on visible projects while overlooking the foundational work required to support them.
The assessment should ultimately lead to a roadmap. A practical roadmap can group initiatives into three categories.
These are high-priority initiatives with a clear business case that can be started using the organization’s current capabilities.
These initiatives may depend on foundational work or require additional preparation.
These may be strategically relevant but have lower urgency, higher complexity, or dependencies that need to be resolved first.
The roadmap should also show relationships between initiatives. For example:
Data modernization → data integration → advanced analytics → AI-enabled decision-making
This makes dependencies visible and helps leaders sequence investment more effectively.
The Industry IoT Consortium’s Industry Digital Transformation Framework similarly calls for aligning an organization’s digital maturity level with its transformation objectives and turning the transformation vision into a clear, actionable roadmap.
A maturity assessment can help answer another important question: where should transformation funding go?
Rather than distributing investment evenly across capability areas, leaders can focus resources where improvements are most closely connected to strategic outcomes.
For example, if customer experience is a major business priority and the assessment identifies fragmented customer data as a significant barrier, data integration may become a higher investment priority than upgrading a lower-impact internal system.
This creates a stronger connection between maturity, investment, and business value. It also gives leaders a clearer explanation for why certain initiatives should happen before others.
Transformation does not have to begin with a multi-year program. Some maturity gaps can be addressed through focused initiatives that deliver visible improvements. A quick win could involve:
Quick wins should still connect to the wider roadmap. The objective is not to collect isolated successes. It is to demonstrate value while building capabilities that support the next stage of transformation.
Digital maturity is not static. New technologies emerge. Business priorities change. Customer expectations evolve. Organizations also learn from their transformation initiatives.
A maturity assessment can therefore be repeated periodically. The ISO digital maturity approach explicitly supports continuous learning and improvement, including regular reflection on progress, rather than treating assessment as a one-time activity.
Repeating the assessment can help leaders determine:
This turns maturity assessment into part of the transformation management process.
Treating the score as the objective
A high maturity score does not automatically mean the organization is achieving its business goals.
Assessing technology alone
Digital maturity also involves people, processes, leadership, culture, data, and customer experiences.
Trying to fix every gap
Not every weakness requires immediate investment. Priorities should be linked to strategic value.
Using a generic maturity model without context
A framework can provide structure, but the assessment should reflect the organization’s business model and transformation objectives.
Creating a roadmap without dependencies
Some initiatives cannot succeed until foundational capabilities are improved. The roadmap should make these relationships visible.
Conducting the assessment once and moving on
Maturity changes over time. Reassessment can help organizations adjust their priorities as transformation progresses.
A digital maturity assessment is most useful when it changes how leaders make decisions.
The assessment provides the starting point: a clearer understanding of current capabilities. The next step is to connect that understanding to business strategy. Identify which gaps affect strategic goals, determine which capabilities need to improve, prioritize the investments, and build a roadmap that sequences the work.
This creates a practical path from assessment to action.
For enterprise leaders, the goal is not to make every part of the organization equally digital or reach an arbitrary maturity level. The goal is to develop the capabilities that help the business achieve its priorities.
Hexaware helps organizations navigate digital transformation with a practical, supportive approach, bringing together technology, data, cloud, AI, modernization, and other capabilities based on each organization’s transformation needs.
A well-designed maturity assessment gives leaders something more useful than a score. It gives them a clearer view of where they stand, what is holding transformation back, and where the next investment can create meaningful value.
A digital maturity assessment evaluates an organization’s capabilities across areas such as strategy, technology, data, processes, people, governance, and customer experience. It helps leaders understand the current state and identify areas that may need to improve to support business objectives.
It helps organizations make transformation decisions based on their current capabilities rather than assumptions. The findings can reveal gaps, dependencies, and opportunities that inform investment and transformation priorities.
The areas depend on the organization’s goals, but commonly include digital strategy, leadership, technology, data, processes, customer and employee experience, skills, culture, governance, and innovation.
The assessment identifies capability gaps and allows leaders to compare them based on strategic importance, business impact, dependencies, feasibility, and urgency. This helps determine which initiatives should happen now, next, or later.
No. The appropriate maturity level depends on the organization’s business strategy and requirements. Investing in a capability beyond what the business needs may not provide enough value to justify the additional cost and effort.
There is no single schedule that works for every organization. Enterprises undergoing significant transformation can reassess periodically to track progress, validate investments, and identify new priorities as business and technology requirements change.