India’s digital backbone is undergoing a structural evolution. As data volumes explode and ultra-low latency becomes non-negotiable for everything from autonomous systems to immersive media, the shift from centralised computing to distributed edge infrastructure is under way. At the core of this shift is the need to process data ­closer to where it is generated. Edge computing in India is an architectural realignment of where and how computing power is delivered. This trend is being accelerated by 5G roll-outs, artificial intelligence (AI) adoption, real-time analytics and regulatory mandates for data localisation.

A look at the technical enablers driving edge deployments…

Role of towercos in edge enablement

As edge computing gains traction, telecom tower companies (towercos) can play a pivotal role in enabling last-mile compute infrastructure. Traditionally operating as passive hosts for antennas and radio equipment, towercos could evolve into active parti­cipants in the edge ecosystem, ­supported­ by demand for low-latency services, the roll-out of 5G and the growing intersection of telecom and IT infrastructure.

India’s towercos operate more than 700,000 sites, many of which can potentially support edge deployments, thanks to existing assets like physical space, reliable power, and, in some cases, fibre connect­ivity. Their widespread presence in dense urban and peri-urban areas positions them well to host latency-sensitive workloads, ­especially if retrofitting proves more efficient than greenfield construction. To support edge computing, these tower sites could be upgraded to house prefabricated micro data centre modules. These modules can include integrated IT racks, AC and DC power feeds, battery backups, precision cooling and environmental control systems. Depending on how sites are configured, they could support a range of edge workloads, from multi-access edge computing (MEC) servers and caching nodes to AI inference modules. Moreover, network upgrades would also be essential. Tower sites are technically suited to support prefabricated micro data centre modules, given their existing access to power, fibre and secure shelter infrastructure. Software-defined networking and network slicing frameworks can make these sites more flexible and suitable for dynamic, multitenant workloads.

Some towercos are already exploring this. For instance, Indus Towers has announced capex plans to support 5G roll-out and digital infrastructure expansion, which includes investments in micro data centres and integrated digital solutions in the future.

At the same time, telcos are ­actively­ building out the network edge through MEC. By deploying MEC nodes at radio access network (RAN) aggregation points and 5G core locations, operators like Reliance Jio and Bharti Airtel are advancing edge infrastructure deployment in India. Jio has deployed MEC capabilities across more than 50 standalone 5G facilities, designed to bring compute closer to end-users for applications such as video analytics, immersive media and enterprise Internet of Things (IoT). Meanwhile, Airtel, via its Nxtra data centre arm, has partnered with IBM to deploy an edge computing platform across 120 network data centres in 20 cities, employing IBM Cloud Satellite and Red Hat OpenShift to enable latency‑sensitive workloads.

Role of digital infrastructure providers

As the demand for real-time processing pushes computing closer to end-users, digi­tal infrastructure providers in India are emerging as key enablers of edge capacity. Unlike towercos, which are adapting legacy tower sites, these players are building edge data centres from scratch. These facilities are modular, distributed and designed specifically for high-density, latency-sensitive workloads. Their focus extends beyond metros to Tier II and III cities, regions that currently lack robust edge infrastructure but are seeing rising demand for low-latency services.

For instance, ST Telemedia Global Data Centres India recently broke ground on its first edge data centre in Jaipur, a 165,000 square feet facility delivering 6 MW IT capacity, specifically designed to host AI and high-density workloads in a Tier II city. Unlike telcos, they are not tied to a specific network. This means that hyperscalers, telecom operators, content delivery networks and enterprises can co-locate infrastructure in a shared environment, reducing costs while improving interconnectivity. This multi-tenant, vendor-agnostic approach is critical for building a scalable and open edge ecosystem.

Hyperscalers and their edge playbook

Hyperscalers have spent the past decade building massive, centralised infrastructure in India. However, that model is no longer sufficient. As application needs shift towards ultra-low latency, real-time processing and data localisation, these players are now decentralising their footprints through an aggressive edge strategy. And they are not doing it alone, they are leaning heavily on telcos, towercos and digital infrastructure providers to reach the last mile. Instead of building hyperscale campuses in every region, hyperscalers can embed edge nodes within third-party infrastructure, co-located at telco data centres, RAN aggregation sites or fibre-linked infrastructure hubs. These nodes can extend public cloud closer to the user, running containerised workloads, AI models and content caches within milliseconds of demand. Services like Amazon Web Services (AWS) Local Zones and Google Distributed Cloud Edge exemplify the global move toward distributed cloud infrastructure. In India, AWS has launched Local Zones in Delhi and Kolkata, providing essential low-latency compute, storage and AI inference services to urban users.

Challenges in edge deployment

Deploying edge infrastructure in India comes with its own set of challenges. Power availability and quality, for instance, remain inconsistent in many Tier II and III cities. These locations are crucial for expanding real edge coverage, but without stable electricity, uptime and performance become real concerns. According to an industry report, India’s data centre capacity is projected to grow from 1.4 GW in 2023 to 9 GW by 2030. That growth will come at a cost. Data centres are expected to consume nearly 3 per cent of the country’s total electricity by 2030, up from under 1 per cent today. Real estate availability is another constraint. Urban centres are dense and expensive, making it difficult to acquire or retrofit space for edge sites. A separate report estimated that India will need an additional 45-50 million square feet of real estate and 40-45 TWh of incremental power for data centres by the end of the decade.

Standardisation is another pain point. With towercos, digital infrastructure providers, telcos, hyperscalers and enterprises all in the mix, interoperability across platforms, orchestration layers and monitoring systems is still evolving. Finally, there is the economics bottleneck. Edge deployments often demand significant upfront capital, but the return on investment is fragmented across ecosystem players, making cost-sharing models essential.

Securing the edge

Securing the edge should be foundational because edge computing introduces new threat vectors. Unlike centralised data centres with hardened perimeters and tightly controlled environments, edge sites are inherently more distributed, exposed and operationally diverse. Securing these environments requires a fundamental shift from perimeter-based models to zero-trust architectures and dynamic threat detection systems.

At the infrastructure level, edge sites – whether tower-based, modular data centres or MEC zones – must be physically secured against tampering, outages and unauthorised access. This involves hardened enclosures, biometric or token-based access controls and environmental monitoring to detect intrusion or environmental anomalies such as heat, vibration and humidity. Power integrity is equally critical, as outages at edge nodes can instantly disrupt real-time services.

From a network standpoint, zero-trust security models are being applied across edge deployments. Every device, ­container and application programming interface (API) request is treated as untrusted by default, with continuous authentication, identity enforcement and micro-segmentation. Secure boot, trusted platform modules and remote attestation are increasingly used to validate edge hardware and firmware integrity, especially important for unmanned or remote edge nodes.

Edge workloads also require software-defined perimeters and endpoint detection and response tools that are lightweight, cloud-managed and designed for resource-constrained environments. These tools must scale across hundreds or thousands of nodes and be centrally orchestrated.

Outlook

Edge computing is becoming a business and network necessity. According to industry estimates, India’s edge data centre market reached $524.8 million in 2024 and is projected to grow to $3 billion by 2033, at a CAGR of 19.5 per cent between 2025 and 2033. By 2025, over 40 per cent of digital workloads in India are expected to be processed outside traditional core data centres.

To meet this demand, India’s edge strategy will need to focus on interoperability, energy efficiency and automation. AI-­driven orchestration layers will become essential, intelligently placing workloads across edge, core and cloud based on proximity, latency and network conditions.

At the same time, edge and AI are converging fast. As use cases like large language models, computer vision and real-time inference move closer to where data is generated, edge infrastructure must evolve beyond generic compute.

Future-ready edge nodes will need to support low-power graphics processing units, dedicated AI accelerators and containerised machine learning oper­ations frameworks that can operate in constrained, latency-sensitive environments.

The next phase of evolution will be driven by smart caching, predictive scaling and software-defined interconnects that optimise performance across a distributed architecture. In a country like India, with enormous digital demand and deep infrastructure asymmetry, the edge is a strategic enabler of digital inclusion, bringing services, intelligence and opportunity closer to where people actually live and work.