Maharashtra has issued a Letter of Intent to AirTrunk for a massive data centre project in Raigad, marking one of the biggest digital infrastructure commitments in the state. The proposed campus is expected to see an investment of ₹2 lakh crore and is planned around 3 GW of capacity, positioning it among India’s largest future data centre builds.
The project is being linked to the Raigad Pen Growth Centre, an emerging development zone near Mumbai that is gaining traction as data centre expansion moves beyond the city’s core. This shift reflects a broader trend in the Mumbai region, where land and power constraints are pushing large-scale infrastructure projects toward nearby districts with greater room for expansion.
Why Raigad Matters
Raigad is becoming an important part of the next wave of India’s data centre story because it offers the scale needed for hyperscale builds. As demand for cloud, AI, and digital services grows, developers are increasingly looking for locations that can support large power loads, long-term growth, and proximity to Mumbai’s connectivity ecosystem.
AirTrunk’s India move also fits into a larger regional strategy. The company entered the Indian market through its acquisition of Lumina CloudInfra, which gave it access to an India-focused pipeline and established development capabilities, strengthening its ability to scale quickly in one of the world’s fastest-growing digital infrastructure markets.
India’s Data Centre Shift
Mumbai remains India’s largest data centre market, but the growth pattern is clearly changing. With capacity and land limitations in the city, more projects are now moving toward surrounding corridors such as Thane, Navi Mumbai, Panvel, and Raigad, where developers can build larger campuses with better long-term scalability.
AirTrunk’s proposed investment adds momentum to this shift and signals rising global confidence in India’s digital infrastructure opportunity. The scale of the project suggests a market increasingly being shaped not just by connectivity needs, but by the infrastructure required to support cloud workloads, enterprise digitisation, and AI compute demand.
