As data centres become integral to India's digital future, there is an opportunity for this power- and water-guzzling industry to be energy efficient and sustainable
Now, much like the rest of the country, data centres are largely powered by coal-led thermal power.
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n February 13, Prime Minister Narendra Modi and US President Donald Trump discussed enhancing collaborations in technology, which included investments in next-generation data centres as part of broader initiatives in artificial intelligence (AI) infrastructure. Two days earlier, on February 11, during the inaugural India Energy Week held in Delhi, Modi spoke about India’s commitment to be a global energy leader, reiterating the country’s targets of building 500 GW of non-fossil fuel capacity by 2030. The question is: Can these contradictory ambitions fuel each other?
“The rise of AI, an increasing move towards cloud computing, and data localisation regulations mean the demand for data centres will continue to grow significantly,” says Sunil Gupta, co-founder, CEO and MD, Yotta Data Services. His company, which specialises in hyperscale data centres, cloud services and managed IT solutions, is backed by the Hiranandani Group, and is partnering with Nvidia to enhance AI capabilities in India.
Gupta explains that India is home to around 3 percent of the world’s data centres but produces about 20 percent of the world’s data. “It is estimated that India’s data centre market will grow by 21 percent to reach 3.4 GW by 2030,” he says. As per the Economic Survey 2024-25, the data centre market in India is expected to grow from $4.5 billion in 2023 to $11.6 billion in 2032, at a compound annual growth rate (CAGR) of 10.98 percent.
So, why is the growth of AI-led data centres paradoxical with India’s larger energy transition targets? Because right now, much like the rest of the country, data centres are largely powered by coal-led thermal power. Coal occupied 72.5 percent of the 1,519 billion units of power (1 unit is 1,000 watts per hour) generated in India, according to government data as on January 31.