Evaluating India’s Hyperscale Data Centre Sector: Resource and Policy Challenges

India’s digital infrastructure boom presents significant economic opportunities but also raises pressing challenges for resource management and public policy.

The global digital economy is undergoing a structural realignment. From being characterized by a virtual economy, driven by software services, global economic activity is shifting towards the build-up of capital-dense physical infrastructure. Traditionally, India has had a position within the global division of labour, which is primarily focused on the export of software and information technology-enabled services (ITES) through back-office and IT outsourcing models. However, due to the current macro-technological trends such as the commercialization of generative artificial intelligence (AI), the popularization of cloud architectures, and the regulation of data sovereignty rules, India has been mandated to hasten towards the accumulation of domestic physical capital.

Infrastructure like data centres, which are large-scale facilities engineered for housing compute clusters, data storage arrays, and networks, has transitioned from being backend functionality into critically important physical infrastructure at the national level. The exponential increase in global and domestic investments in the Indian data centre sector will bolster India’s technological capabilities at the sovereign level. However, at the same time, it entails significant systemic externalities due to its impact on regional electrical grids, local hydrological stress, and the strain on urban industrial zoning. This article investigates the economic, technological, and environmental impacts of data centre proliferation in India, examines its resource streams, and recommends necessary policy measures for aligning digital expansion with national sustainability agendas.

Market Dynamics and Structural Forces

The scale of data centre expansion within India follows an exponential trajectory. Statistics show that by 2019, the Indian data centre operational infrastructure was approximately 350 MW; by 2024, this figure had increased threefold to nearly 1,000 MW or 1 GW. Estimates further project that by 2027, the Indian market is likely to have 1.8 GW of data centre capacity (Governing AI Infrastructure, 2026). However, the speed of growth is determined by more than the continuation of trends in the past; there are three distinct factors influencing the matter.

Firstly, the paradigm shift from legacy software applications to AI-powered technologies demands significant changes in industry technical specifications. High computational power is needed to train and fine-tune AI models, which, in contrast to CPUs, consume less power and necessitate different specifications. Second, regulatory requirements regarding domestic data localization have intensified significantly. Regulations and frameworks, notably from the Reserve Bank of India (RBI) for financial data and the Digital Personal Data Protection (DPDP) Act, have legally required the storage and processing of sensitive personal and financial data pertaining to Indian citizens exclusively within national borders. This regulatory firewall is essential, precluding hyper-scalers from directing Indian data traffic to large overseas clusters. Third, there is exceptional demand scalability from end consumers. Extremely low costs for mobile broadband plans, combined with smartphone popularity, have made India one of the world’s top internet bandwidth consumers.

Macroeconomic and Ecological Implications

The fast growth of computing assets creates significant issues at the crossroads of digital growth and physical resource limits. The first major challenge focuses on maintaining electrical grid load balancing and, relatedly, the demand for decarbonisation. Computing infrastructure demands a relatively flat electrical load; while manufacturing can turn off their machines and engage in demand response events at a critical grid moment, data centres have strict uptime Service Level Agreement (SLA) commitments. The heat map chart below illustrates these challenges. As the overall infrastructure load nears 1.0% to 2.0% of India’s total grid capacity, the computing infrastructure facilities present base load variability that can pressure state distribution utilities (DISCOMs) already struggling to balance climate-related peak deficits (Governing AI Infrastructure, 2026). Another dilemma concerns global hyper-scalers that commit to net zero principles but operate in a real world infrastructure where stability depends upon coal fired power plants, thus the footprint of the digital economy rises in line with usage.

The geographical deployment of data centre assets within India is highly asymmetrical, exhibiting a intense pattern of spatial clustering. The Mumbai metropolitan region commands the dominant market share of operational capacity. This concentration is driven by Mumbai’s direct access to international submarine cable landing stations, robust sub-station power infrastructure, and proximity to major financial services markets. Secondary clusters have developed in Chennai, Bengaluru, Hyderabad, and the National Capital Region (NCR). Another important issue is related to the massive quantity of water required by cooling equipment. Many standard facilities in tropical and subtropical climate regions rely on the use of large, open-loop evaporative cooling towers that release the heat dissipated from the data centre into the local ambient air, consuming in the process a substantial quantity of water.

Data centre water consumption in India is expected to reach approximately 358 billion litres annually by 2030 (Governing AI Infrastructure, 2026).In many cases, data centre facilities as discussed above are located in urban centres that face severe groundwater deficits, such as Chennai and Bengaluru, and this industrial demand on water resources exacerbates local environmental concerns and may present regulatory risk. Finally, the spatial footprint of digital infrastructure growth displaces industrial zoning in urban areas. A unique hyperscale facility demands a nearby supply of high-voltage electrical infrastructure, and readily available dark fibre networks mean demand is concentrated in certain urban industrial locations. These location requirements create local “gold rushes” in real estate and raise property values, potentially excluding more labour-intensive industrial activity that would create far more jobs per square meter of infrastructure space.

Policy Recommendations and Institutional Solutions

To balance digital growth with sustainability principles, Indian policy should move away from simplistic real-estate based financial incentives toward stringent, performance-based efficiency standards.

Codification of Advanced Thermal Management Standards

Conventional air-cooling technologies in high-temperature regions are suboptimal. Ministry of Electronics and Information Technology (MeitY) must implement an updated building code to mandate specific advanced thermal engineering standards for any new facilities over 10MW. First, policy should favour use of liquid immersion cooling technologies in which computer equipment is submerged in a dielectric fluid to deliver optimized efficiency figures below 1.2 Power Usage Effectiveness (PUE), thereby drastically minimizing excess power consumption (Fiorillo et al., 2026). Second, the open-loop evaporative cooling tower should be prohibited in water-scarce geographies to favour closed-loop cooling systems (dry cooling or adiabatic cooling systems), thereby reducing wasteful water consumption by industrial facilities.

Spatial Diversification via Algorithmic Planning

A concentration of digital infrastructure facilities in Tier 1 cities strains both the grid capacity and the physical resource base. Authorities should use Geographic Information Systems (GIS) techniques to identify optimal alternative development sites with the aid of Multi-Criteria Decision Analysis (MCDA) methodology (Fiorillo et al., 2026). Providing such alternate locations with targeted financial incentives, simplified approval processes, and subsidized fibre infrastructure deployment to selected Tier-2 logistics hubs, such as Nagpur, Indore, Kochi or Bhubaneswar, would shift grid load elsewhere and ease the pressure on certain cities with water scarcity, coastal megacities being most prone.

Institutionalisation of Green Energy Open Access and Storage Mandates

To clean up the energy supply feeding into these infrastructure assets, federal or central authorities must streamline cross-state Green Energy Open Access frameworks. This will simplify administrative procedures for operators seeking to purchase electricity directly from large independent renewable energy projects. Furthermore, future policy should include mandatory provisions that mandate that every new hyperscale facility deploy either utility-scale Battery Energy Storage Systems (BESS) or green hydrogen fuel cell solutions for power backups, gradually eliminating reliance on the industrial diesel generators (DG) used for backups during grid disruptions.

Circular Economy Integration for E-Waste Mitigation

The rapid pace of hardware innovation driven by rapid AI advancement means that computing assets typically become obsolete after 3-5 years. Policymakers must create robust Extended Producer Responsibility (EPR) frameworks specific to data centres that include regulations around the appropriate decommissioning of equipment, facilitated paths for recovering precious metals, and certified recycling of electronic components, so that these large streams of hazardous e-waste do not simply enter the informal processing ecosystem.

Conclusion

The emergence of India’s massive global data centre industry presents an enormous development milestone for India’s digital future, and its ambition to be more tech-sovereign. But without policy guardrails, this building boom could outstrip local grid capacity and the already scarce municipal water resources available to the nation. Forging a high-performance, resource-efficient digital infrastructure foundation through the development of targeted policies such as binding liquid cooling standards, fostering the emergence of Tier 2 cities, and improving the availability of green power to data centres is an imperative.

References

Fiorillo, M., Sharma, A., and Kumar, R. (2026). ‘Cooling Strategies for Energy-efficient Data Centers: Narrative Review and Future Perspective’, International Research Journal of Multidisciplinary Scope (IRJMS), 7(2), pp. 1350–1364.

Governing AI Infrastructure. (2026). Governing AI Infrastructure: How India Can Steer the Boom Towards Sustainability and Security. New York: Columbia University Academic Commons. Available at: https://academiccommons.columbia.edu/doi/10.7916/wp81-q357/download (Accessed: 25 June 2026).

JLL Research. (2024). India Data Center Market Update & Trajectory Reports. Mumbai: JLL India Insights.

Goldman Sachs Equity Research. (2024). Generational Growth AI, data centers and the coming US/Global power demand surge. Global Investment Research Report.

International Energy Agency (IEA). (2022). International review of energy efficiency in Data Centers for IEA EBC Building Energy Codes Working Group. IEA EBC TCP Publications.