India data-center suppliers add $47bn in 2026 rally

A rally led by the data-center supply chain

An equal-weighted Bloomberg index tracking 28 Indian companies tied to the data-center ecosystem has added about $17 billion in market value this year, a rise of nearly 50%. The basket includes manufacturers of transformers, switchgear, wires and cables, and cooling systems that are required to build and operate data centers. The move reflects how investor attention is shifting from software narratives to the physical infrastructure needed for AI workloads. The same trend is also being reinforced by large, multi-year capex commitments being discussed across India’s AI and data-center ecosystem.

The central idea is straightforward: regardless of which AI applications win, data centers need power equipment, connectivity, and cooling. That “picks and shovels” framing was echoed by Nomura Holdings Inc. analysts led by Akash Gupta in a June 2 report, which said the most attractive exposure is in the industrial supply chain that builds, powers, and cools these facilities.

Sterlite Technologies becomes the poster child

The sharpest stock move in the group has been in Sterlite Technologies Ltd., the optical-fiber maker owned by the Vedanta Group. The stock has surged more than 530% this year. A key trigger cited was a $1.1 billion multi-year contract from a US-based hyperscaler signed last month.

Peers have also rallied. HFCL Ltd. has jumped 191% this year. MTAR Technologies Ltd., which makes precision cooling and power components, has more than trebled. Together, the moves show how investors are rewarding companies seen as direct beneficiaries of data-center buildouts, especially those linked to global hyperscaler procurement.

Why global AI demand is pulling Indian industrials into focus

One of the clearest transmission channels for AI spending into India has been power equipment, especially high-capacity transformers. Applied Materials, which has a global market capitalisation of $143 billion, has advocated modernising India’s power grid to support the country’s AI ambitions. The argument highlights a practical dependency: AI compute scales only when power generation, transmission, and distribution are ready.

The pricing gap for key equipment has become a talking point. A 500 MVA transformer costs about $1.5 million in India versus $14 million to $12 million in the US, according to the figures cited. The same data suggests Indian pricing is cheaper than China, Korea, or Mexico. This cost advantage is increasingly relevant as the US grapples with supply constraints.

Capacity expansions that are now paying off

The article also points to Indian manufacturers that expanded capacity ahead of domestic demand, and are now seeing benefits as global buyers look to diversify supply. Names mentioned include TARIL, BHEL, CG Power, Hitachi Energy India, Voltamp, and Apar. The theme is that earlier investments in capacity are now aligning with a surge in global requirements driven by data-center and AI infrastructure.

A case study cited is California-based Ayr Energy, which reportedly went from a $1 order book to a $100 million order book in 12 months by leveraging Indian manufacturing. The takeaway is not just export potential, but the role of India’s industrial base in supplying “critical infrastructure” for AI ambitions abroad.

Big-ticket commitments raise the ceiling for demand

Several large numbers in the article’s broader context point to how big the opportunity set could become. A “quick take” segment cited a $110 billion commitment over the next decade by Reliance and Adani to build India’s AI infrastructure, with data centers positioned as the core.

Separate context also referenced a $10 billion capex cycle aimed at expanding India’s data center capacity to 10.5 GW by 2031, from roughly 1.5 GW today. If these figures translate into project execution, the knock-on demand for transformers, switchgear, cables, fiber, cooling equipment, and construction capacity could remain elevated for years.

Where the “picks and shovels” exposure sits

The article groups the opportunity into four categories: power and electrical equipment, cables and connectivity, cooling and HVAC infrastructure, and data center real estate. On the equipment side, companies referenced across the supplied text include Siemens India, ABB India, and Hitachi Energy as suppliers of transformers and switchgear for high-density power loads.

For wiring and connectivity, Polycab and KEI were cited for power cables, and Tata Communications for fiber. For cooling, Blue Star and Voltas were named. The point made is that these categories may see demand irrespective of which AI applications dominate, because the underlying physical requirements remain the same.

Data center economics keep power in the spotlight

One reason power infrastructure keeps resurfacing in the narrative is operating economics. The context cited energy as 40% to 60% of data center operating expenses, making electricity sourcing and reliability central to viability. It also referenced renewable power purchase agreements (PPAs) as a way to lock in electricity costs.

This helps explain why grid readiness and equipment supply have become market-moving topics. The text also pointed investors to monitoring the Ministry of Power’s quarterly “Grid Readiness” reports, framing them as a practical indicator of how quickly capacity can be added without bottlenecks.

Project announcements add more datapoints

Beyond listed suppliers, the broader ecosystem includes new infrastructure initiatives. BharatGen signed an MoU with L&T Semiconductor Technologies and Larsen & Toubro-Vyoma to design, build, and deploy an end-to-end sovereign AI compute platform in India. The plan includes an AI-ready data center facility of 30 MW in Kanchipuram to support large-scale AI workloads.

Separately, L&T’s data centre arm Vyoma has partnered with Gujarat’s Department of Science and Technology for a 250 MW green AI-ready hyperscale data center campus in Dholera, with a proposed investment of Rs 25,000 crores. Internationally-linked connectivity plans were also referenced, including Google advancing its previously announced $15 billion AI hub in Visakhapatnam and an “India-America Connect” initiative for new subsea cable routes.

Key figures at a glance

Market impact and why it matters

The immediate market impact described is the sharp rise in valuations across the listed supply chain, led by companies with clearer linkage to data centers and AI infrastructure. The scale of the move, nearly 50% for the index and triple-digit gains in several stocks, suggests investors are pricing in sustained order inflows, not just one-off announcements.

At an industry level, the transformer cost comparison and the export-linked example of Ayr Energy reinforce India’s potential role as a competitive supplier as the US faces supply constraints. Meanwhile, the large capex and capacity targets cited, including 10.5 GW by 2031, underline why grid readiness and equipment lead times are becoming central to the story.

Conclusion

India’s data-center buildout theme is increasingly being expressed through “picks and shovels” companies that supply power equipment, cables, fiber, cooling systems, and construction capacity. The Bloomberg basket’s $17 billion market value addition and the outsized gains in stocks such as Sterlite Technologies highlight how quickly this narrative has moved into prices. The next signals investors are likely to track, based on the context provided, include execution milestones on large campuses, hyperscaler procurement visibility, and official grid readiness updates.