India AI data centre investment could hit $435 billion by 2030: Report

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India AI data centre investment could hit $435 billion by 2030: Report

Synopsis

India's data centre capacity needs to grow nearly fifteenfold by 2030 — from 1.6 GW to as much as 23 GW — requiring up to $435 billion in cumulative investment. The OmniScience Capital report's sharpest insight: the biggest winners may not be the data centre builders themselves, but the 230-plus listed companies across India's power, cooling, and electrical equipment value chains that make AI infrastructure physically possible.

Key Takeaways

India may need 19–23 GW of data centre capacity by 2030 , up from 1.6 GW today — a near-fifteenfold expansion.
Cumulative investment required is estimated at $350–$435 billion by 2030, per OmniScience Capital .
Around $160 billion in investments have already been announced or are under implementation.
Operating this capacity could consume 150–170 TWh of electricity annually — roughly 6 per cent of India's projected 2030 demand, rising to 8 per cent by 2035.
The non-compute ecosystem spans 11–12 sub-sectors and over 230 listed companies in India's power value chain alone.

India may need to deploy between $350 billion and $435 billion in cumulative investment by 2030 to build out the AI data centre infrastructure required to support its rapidly expanding digital economy, according to a report released on Wednesday, 29 July 2025 by OmniScience Capital. The country's operational data centre capacity would need to scale from roughly 1.6 GW today to 19–23 GW by the end of the decade — a near-fifteenfold expansion.

Scale of the Opportunity

The OmniScience Capital report positions India as one of the world's largest generators of digital data, accounting for an estimated 15–20 per cent of global data generation. Widespread AI adoption across sectors is expected to accelerate demand for compute and storage infrastructure at an unprecedented pace.

Notably, approximately $160 billion in investments have already been announced or are currently under implementation, signalling strong early momentum behind India's emergence as a global AI infrastructure hub.

Beyond the Data Centre: The Non-Compute Ecosystem

The report argues that the investment opportunity extends well beyond data centre developers themselves. Every additional megawatt of AI infrastructure requires a vast non-compute ecosystem — spanning electricity generation, transmission, transformers, switchgear, industrial cables, backup power, cooling systems, HVAC, networking, security, and building automation.

Collectively, this ecosystem cuts across 11–12 infrastructure sub-sectors, offering a broad and diversified set of entry points for investors and industry participants. The report identifies over 230 listed companies across India's power value chain alone, with additional opportunities in cooling, networking, security, and facility infrastructure.

Power Demand: A Critical Constraint

Operating 19–23 GW of data centre capacity would require approximately 150–170 TWh of electricity annually by 2030 — equivalent to roughly 6 per cent of India's projected electricity demand that year. By 2035, that share could rise to 8 per cent, placing significant pressure on the country's generation and transmission infrastructure.

This comes amid India's broader push to expand renewable energy capacity, raising questions about whether green power can keep pace with AI-driven electricity demand at this scale.

What Industry Leaders Are Saying

Ashwini Shami, President and Chief Portfolio Manager at OmniScience Capital, said: 'As one of the world's fastest-growing digital economies, India holds immense potential in AI data centres. While domestic frontier AI model developers and semiconductor players are still emerging, the most direct path to participating in the AI revolution today is through non-compute infrastructure.'

Shami added that as India's AI infrastructure scales, companies across utilities, transmission, and electrical equipment will likely emerge as key beneficiaries of this long-term structural trend.

What Comes Next

With capital already rotating into power and electrical equipment plays, analysts expect investor focus to shift progressively from data centre developers to the broader infrastructure supply chain. The diversified nature of the ecosystem means that even if AI adoption timelines shift, multiple sub-sectors stand to benefit across different phases of the buildout. How India manages the electricity intensity of this expansion will be a defining policy challenge through the rest of the decade.

Point of View

But the more consequential finding is structural: India's AI infrastructure race will be won or lost in the non-compute supply chain — transformers, cables, cooling, and grid capacity — not in the server halls themselves. With over 230 listed power-sector companies identified as potential beneficiaries, this is as much a utilities and electrical equipment story as it is a tech story. The electricity demand projection — up to 8 per cent of national demand by 2035 — also raises a question mainstream coverage is underplaying: can India's renewable energy build-out keep pace, or will AI data centres end up running on coal? That tension will define both the economics and the politics of this boom.
NationPress
29 Jul 2026

Frequently Asked Questions

How much investment does India's AI data centre sector need by 2030?
According to an OmniScience Capital report released on 29 July 2025, India's AI data centre build-out could require between $350 billion and $435 billion in cumulative investment by 2030. Around $160 billion of that has already been announced or is under implementation.
How much will India's data centre capacity need to grow by 2030?
India's operational data centre capacity would need to expand from approximately 1.6 GW today to 19–23 GW by 2030 — a near-fifteenfold increase — to support AI and digital data growth, according to the OmniScience Capital report.
How much electricity will India's data centres consume by 2030?
Operating 19–23 GW of data centre capacity would require roughly 150–170 TWh of electricity annually by 2030, equivalent to about 6 per cent of India's projected electricity demand that year. By 2035, that share could rise to 8 per cent.
Which sectors benefit most from India's AI infrastructure boom?
Beyond data centre developers, the OmniScience Capital report highlights a non-compute ecosystem spanning 11–12 sub-sectors — including power generation, transmission, transformers, cooling systems, and networking — as key beneficiaries. Over 230 listed companies in India's power value chain alone stand to gain.
What did OmniScience Capital's president say about India's AI potential?
Ashwini Shami, President and Chief Portfolio Manager at OmniScience Capital, said India holds 'immense potential in AI data centres' as one of the world's fastest-growing digital economies. He noted that the most direct investment path today is through non-compute infrastructure, given that domestic AI model developers and semiconductor players are still emerging.
Nation Press
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