By Yash AI
India’s Data Centre Boom: AI Drives $25 Billion Cooling Investment
New Delhi/Mumbai: India’s data centre industry is undergoing a major transformation, driven by the rapid adoption of artificial intelligence (AI). Industry estimates suggest that nearly $25 billion (₹2 lakh crore) will be invested in advanced cooling infrastructure over the coming years. As AI workloads increase, data centres are facing unprecedented power consumption and heat generation challenges.
AI Workloads Push Data Centres to Thermal Limits
AI technologies such as generative AI, machine learning, and large language models are reshaping how data centres operate. Unlike traditional cloud workloads, AI servers—especially GPU-based systems—consume significantly more power and generate intense heat.
Typically, a standard rack in a traditional data centre operates at 5–10 kW. However, AI-focused racks can exceed 30–80 kW, forcing operators to rethink infrastructure strategies. As a result, cooling systems have shifted from being a support function to becoming a core component of data centre design and planning.
Cooling Infrastructure Emerges as a Key Cost Driver
Cooling already accounts for 30–40% of total energy consumption in data centres. As AI-driven density increases, this share will likely rise further unless companies adopt more efficient technologies.
To address these challenges, companies are actively investing in:
- Direct-to-chip liquid cooling
- Immersion cooling systems
- Rear-door heat exchangers
- AI-driven thermal management solutions
Among these, liquid cooling is gaining strong traction. It efficiently supports high-density workloads while reducing energy consumption compared to traditional air-based systems.
Moreover, industry analysts expect cooling investments to play a major role in India’s data centre expansion. The country’s capacity is projected to grow from around 800 MW in 2024 to over 1 GW by 2027.
India’s Data Centre Market Gains Strong Momentum
India continues to emerge as one of the fastest-growing data centre markets globally. Several structural factors are driving this growth:
- Data localisation regulations
- Rapid rollout of 5G networks
- Expansion of digital services and OTT platforms
- Increasing enterprise cloud adoption
At the same time, key cities are leading this expansion:
- Mumbai remains the largest data centre hub due to strong submarine cable connectivity
- Chennai is emerging as a major international data gateway
- Hyderabad and Bengaluru are growing as hyperscale and technology hubs
- Delhi-NCR continues to drive enterprise and government demand
As a result, India’s total data centre capacity is expected to more than double within the next 3 to 5 years.
Hyperscalers and Investors Drive Expansion
Global hyperscalers and domestic players are aggressively expanding their presence in India. Companies such as Amazon Web Services, Microsoft Azure, Google Cloud, Yotta Infrastructure, and AdaniConneX are investing heavily in both capacity and advanced infrastructure.
Importantly, these investments are not limited to expansion alone. Companies are also upgrading facilities to support next-generation AI workloads, which require higher efficiency and better thermal management.
Cooling Becomes Critical for Digital Growth
As India accelerates its digital transformation, the data centre industry is shifting from capacity-driven growth to efficiency-driven innovation.
Cooling has now become a strategic priority, directly impacting:
- Operational costs
- Energy efficiency
- Sustainability goals
- Long-term scalability
Furthermore, as AI adoption continues to rise, the demand for advanced cooling solutions will increase significantly. This shift will play a crucial role in shaping the future of India’s digital infrastructure.
Conclusion
India is steadily moving toward becoming a global data powerhouse. However, managing heat efficiently will be just as important as increasing computing power.
The projected $25 billion investment in cooling infrastructure highlights a critical reality: the future of AI and digital growth will depend not only on processing capabilities but also on the ability to sustain them efficiently.
