India’s digital infrastructure has expanded rapidly over the past decade, supported by rising data consumption, enterprise digitisation, and policy-led initiatives. The scale of this expansion is evident. According to JLL’s India Data Centre Market Dynamics report, India’s data centre capacity is projected to grow 77% by 2027, reaching 1.8 GW, while cloud spending continues to grow at a CAGR of 22.6%, with the Indian public cloud services market expected to reach $30.4 billion by 2029, according to IDC’s Worldwide Semi-annual Public Cloud Services Tracker.
This growth signals a clear shift. Infrastructure is no longer a background layer supporting business operations. It now sits at the centre of how enterprises design, deploy, and scale their systems.
Enterprises are operating across distributed environments
Enterprise IT environments have become inherently distributed. Most organisations today operate across a mix of public cloud, private infrastructure, and on-premise systems. Customer-facing applications are often hosted on hyperscale platforms. Sensitive data is increasingly retained within India to meet regulatory expectations. At the same time, certain critical workloads continue to run on private infrastructure for greater control and reliability.
This distributed model offers flexibility, but it also introduces complexity. As workloads become more data-intensive and time-sensitive, challenges related to latency, security consistency, and visibility across environments begin to surface. These challenges are even more pronounced in AI-led use cases, where the speed, location, and security of data processing directly impact outcomes.
The challenge has shifted from access to integration
Access to cloud infrastructure is no longer a constraint. The real challenge now lies in how effectively different environments are connected and managed. In many organisations, workloads operate across systems that are not fully aligned. Data moves across networks that are not optimised for real-time processing. Security policies differ across platforms, and monitoring remains fragmented. Over time, these gaps affect performance, increase operational risk, and limit scalability.
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The growing mismatch between cloud adoption and operational readiness is more apparent than ever before for businesses. Based on an EY survey, 64.5 percent of businesses have cited that data governance and security are the major obstacles to deploying GenAI, whereas 53 percent of businesses mentioned complex integration into legacy systems as their main problem in adopting the technology.
Infrastructure is expanding beyond the cloud
As enterprises scale, infrastructure is no longer limited to centralised cloud environments. It is extending across three critical layers: cloud-based interconnects, edge data centres, and high-performance networks. Cloud interconnects enable direct, secure connections between enterprise environments and hyperscale platforms, reducing latency and improving reliability. Edge data centres bring compute closer to where data is generated, supporting real-time processing for use cases such as AI inference, IoT, and video analytics. At the same time, network performance has become critical, as data movement between locations increasingly defines application performance.
This shift means that infrastructure must now be designed as a connected system, where compute, connectivity, and storage operate in coordination rather than isolation.
Cloud partners are becoming infrastructure integrators
This shift is redefining the role of cloud partners. Enterprises are seeking partners who can design and manage environments where connectivity, compute, cloud, and security operate as a coordinated system. The requirement is not just about availability, but consistency, consistent performance across locations, secure data movement between systems, and infrastructure aligned with compliance requirements.
For instance, in manufacturing, predictive maintenance systems rely on data generated at plant sites, processed locally for immediate decisions, and analysed centrally for long-term insights. This requires seamless coordination between edge infrastructure, centralised compute, and secure connectivity. The effectiveness of such systems depends on how well these layers are brought together.
Data sovereignty is influencing infrastructure decisions
Regulatory developments are further influencing how enterprises approach infrastructure. The Digital Personal Data Protection (DPDP) Act has made data governance a central consideration. Organisations are now required to maintain clear visibility over where data resides, how it is processed, and how it is secured. This is driving demand for localised infrastructure and controlled data flows.
Financial institutions are prioritising domestic infrastructure for critical workloads. Healthcare platforms are strengthening controls around sensitive data. Global organisations are building India-specific deployments to align with regulatory expectations. The focus is shifting towards infrastructure that can deliver both performance and compliance within defined regulatory boundaries.
AI workloads are raising infrastructure expectations
The growing adoption of AI is adding another layer of complexity. AI workloads require high-density compute, faster data movement, and consistent uptime. They also depend on environments where data can be accessed and processed without delay. Unlike traditional applications, AI systems are sensitive to infrastructure inefficiencies. Delays in data transfer, gaps in connectivity, or inconsistencies in compute availability can directly affect performance. This is leading organisations to reassess how their infrastructure is designed, with greater focus on alignment between compute, network, and storage layers.
The next phase will be defined by coordination
India’s digital infrastructure has reached a point where scale alone is no longer enough. The next phase of growth will be defined by how effectively different components such as cloud platforms, networks, edge infrastructure, and security frameworks are brought together. AI adoption, regulatory requirements, and enterprise digitisation are converging towards a common need: infrastructure that is reliable, compliant, and capable of supporting distributed operations at scale. Organisations that can design and manage such environments will play a defining role in the next phase of India’s digital growth. The focus is shifting from expansion to coordination, from access to alignment, and from infrastructure availability to infrastructure effectiveness.
The article has been written by Pinkesh Kotecha, Chairman & Managing Director, Ishan Technologies
