NSE-listed companies building, equipping, and operating India's data centre boom — from colocation operators and server manufacturers to fibre suppliers and power infrastructure providers.
Sectors represented: Media Entertainment & Publication, Realty, Construction, Capital Goods, Information Technology
Indian Cloud Computing Market. . (USD Bn). Rising Adoption of Edge & Decentralized. Computing. Demand for localized & decentralized storage to. reduce latency & dependency on hyperscalers. Growth in edge computing driving need for arket. . (USD Bn). Rising Adoption of Edge & Decentralized. Computing. Demand for localized & decentralized storage to. reduce latency & dependency on hyperscalers.
India’s Data Center Boom: Delhi NCR to Witness Significant Growth. Source: Cushman & Wakefield Research. 977 MW. Total Colo capacity. as of 2023. 2.32 GW. . Additional Colo. capacity. (U/C & Planned) %. 15%. 2%. India’s Data Center Boom: Delhi NCR to Witness Significant Growth. Source: Cushman & Wakefield Research. 977 MW. Total Colo capacity. as of 2023. 2.32 GW. . Additional Colo. capacity.
Building on four. decades of expertise in mission-critical power. infrastructure, we are developing a national. digital infrastructure platform under the Techno. Digital brand — combining hyperscale campuses. with a nationwide edge network that extends -critical power. infrastructure, we are developing a national. digital infrastructure platform under the Techno.
In parallel, IT load capacity is. expected to increase sharply from ~4.5 GW in 2025 to. ~12.5 GW by 2030, reflecting a robust ~22.7% CAGR. over the period. This growth is translating into substantial power demand. expansion. capacity is. expected to increase sharply from ~4.5 GW in 2025 to. ~12.5 GW by 2030, reflecting a robust ~22.7% CAGR. over the period.
AI rack could increase to more than 1.5. MW by the end of 2030, nearly 100 times. the power consumption of a. conventional rack. ding to Bank of America estimates. cited by Reuters, power consumption per. AI rack could increase to more than 1.5. MW by the end of 2030, nearly 100 times. the power consumption of a. conventional rack. As power density. increases, the corresponding.
Driving the future of digital infrastructure, the organization has established itself as a trusted partner in. data center consulting, design, engineering, construction, certification, and operations across hyperscale,. colocation, enterprise, government, and institutional sectors. self as a trusted partner in.
Our data centre business plays a critical role in driving. energy efficiency at scale while supporting the growing. demand for digital infrastructure. Anchoring this capability. is ‘Nxtra by Airtel’, which operates India’s largest network. with 14 hyperscale/core facilities and 120+ edge data. centres. ng the growing. demand for digital infrastructure. Anchoring this capability.
Security System, and. DAS Systems Design. and Implementation. Geographic and. account strategy. Appointed dedicated. regional leaders and built. highly focussed account. plans across priority. geographic clusters ity System, and. DAS Systems Design. and Implementation. Geographic and. account strategy. Appointed dedicated. regional leaders and built. highly focussed account.
Ready to deploy scalable. capacity, from 50 to 500 MW,. strategically situated near. customer base and economic. centres in major metros. Free-Scale Facilities. Modular data center solutions. up to 50 MW for accelerating. your time to market. AdaniConneX Promise:. Energy-as-a-Solution (EaaS) tomer base and economic. centres in major metros. Free-Scale Facilities. Modular data center solutions.
Source: https://www.jll.com/content/dam/jllcom/en/in/documents/reports/research-reports/25-insights-india-data- centre-. market-dynamics-report-h12025.pdf?utm_medium=email&utm_campaign&utm_source&utm_content=78836.
Rising Capex by Hyperscalers, USD Bn. 44. 62. 83. 102. 124. 156. 38. 40. 45. 50. 56. 64. 202520262027202820292030. 82. 103. 128. 153. 181. 219. Non-AI Workload. AI Workload. Data Center IT Capex to reach $2.8T by. 2029. 11. Source: Mckinsey. Source: Morgan Stanley, Citi Research 56. 38. 40. 45. 50. 56. 64. 202520262027202820292030. 82. 103. 128. 153. 181. 219. Non-AI Workload. AI Workload.
These trends are expected to strengthen demand for AI-ready PCs, processors, GPUs, memory, storage and other. computing components. 14. https://www.gartner.com/en/newsroom/press-releases/2025-11-18-gartner-forecasts-india-it-spending-to-exceed-176-billion-us-dollars-in-2026. 15. https://www.jll.com/en-uk/insights/market-outlook/global-data-centers. 16.
The mechanism is arithmetic, not correlative —. which is why this remains the single largest driver and. why the CEA's trajectory to approximately 70% non-. fossil capacity by 2035-36. 31. provides demand visibility. extending well beyond any conventional capex cycle. Battery energy storage: a distinct category,. not an extension pproximately 70% non-. fossil capacity by 2035-36. 31.