Mega AI Data Centre Investments Propel India's 9 GW Vision by 2032

India is witnessing a historic influx of investments in the AI-enabled data centre infrastructure, with more than $100 billion committed by 2027 as global tech companies and local firms vie to set up computing power in the world’s fastest-growing digital economy. The sudden rise in investments is not only an indicator of India’s strategic role as a global AI hub but also of the tremendous rise in the demand for cloud and AI services.

The surge in internet consumption, particularly following the entry of Jio, has led to a massive gap between supply and demand. Currently, a significant portion of Indian data is still stored in foreign countries, highlighting the need for domestic infrastructure. Additionally, India remains one of the most cost-effective countries in the region for electricity, land, and construction. These factors, combined with robust digital growth and favorable policies, have made India an attractive location for data centre investments.

Why Large Scale/FII are Investing Data Centres in India

India’s internet consumption has seen a substantial increase, largely due to the entry of Jio. This has created a significant gap between the supply and demand for data storage and processing. The majority of Indian data is still stored in foreign countries, which underscores the need for domestic infrastructure. Moreover, India offers cost-effective solutions in terms of electricity, land, and construction, making it an attractive destination for data centre investments. The country’s digital growth and supportive policies have further enhanced its appeal.

Major Investments in AI Data Centers by Tech Giants

1. Google’s Visakhapatnam AI Hub

Google has announced its largest-ever investment in India, committing approximately $15 billion (USD) over five years from 2026 to 2030 to establish its first dedicated AI hub in Visakhapatnam, Andhra Pradesh. This Gigawatt-scale data centre campus will integrate large-scale compute capacity, renewable energy infrastructure, and expanded fiber-optic networks. Partnered with AdaniConneX and telecom major Airtel, this investment leverages Google’s existing R&D centres in Bengaluru, Hyderabad, and Pune to accelerate AI-driven transformation across Indian sectors.

2. Microsoft

Microsoft has made a two-phase investment in India, totaling $21.5 billion. In the first phase, they announced a $3 billion investment to expand AI and cloud capacity across Mumbai, Pune, Chennai, and the New Hyderabad region, launching in June 2026. The company is establishing hyperscale campuses with plans to train 10 million Indians in AI skills by 2030. In the second phase, on December 9, CEO Satya Nadella announced in a post on X that Microsoft will invest $17.5 billion in India for AI development (GPUs and data centres) over the next four years. While the exact megawatt capacity is not disclosed, it is positioned as a flagship AI data centre campus.

3. AWS’s $8.3 Billion Maharashtra Cloud Infrastructure

AWS has declared an investment of $8.3 billion for cloud infrastructure expansion in the Asia-Pacific (Mumbai) region by 2030, with an additional $2 billion reserved for the Telangana state. This brings the total AWS India commitment to $12.7 billion by 2030. This investment aims to support hyperscale and enterprise cloud adoption, driven by the increasing demand for AI services.

Major Domestic Industry Leaders

Reliance Industries Data Center Project

1. Jamnagar, Gujarat: Reliance Industries is targeting 3 gigawatts, potentially costing between $20 billion to $30 billion. The first phase alone will deliver 1 GW, surpassing any existing data centre globally. This facility features an integrated green energy complex combining solar, wind, green hydrogen, and the world’s largest petcoke gasifier facility for consistent power supply. NVIDIA Blackwell AI processors will power this mega project.

2. Visakhapatnam Campus: Planned to facilitate 1GW of electricity at full capacity, which is half of Mumbai’s annual electricity consumption. In a joint venture with Digital connexion (Canada’s Brookfield Infrastructure and US-based Digital Realty), Reliance is investing $11 billion to build across 400 acres by 2030. This facility will feature AI infrastructure with redundant power feeds, carrier-neutral connectivity, and renewable energy backing. Together, Reliance’s two projects total 4GW, more than four times India’s entire current data centre capacity.

3. TCS HyperVault Through TPG Collaboration: Tata Consultancy Services (TCS) departed from its usual asset-light model with the introduction of HyperVault, raising a whopping $1 billion from private equity investor TPG in November 2025. The total funding aims to target ₹18,000 crore ($2.2 billion) for constructing over 1 gigawatt (GW) of AI infrastructure with the scale of a cloud region across multiple clouds. This marks the largest enterprise investment in owned data centre assets in India.

Sify Technologies’ Multi-Market AI Expansion

- Visakhapatnam Hyperscale: Sify Technologies is investing ₹16,466 crore ($2 billion) for a 550 MW AI-ready facility developed in collaboration with Meta, which is committing ₹15,266 crore ($1.8 billion) for its 500 MW hyperscale AI data centre at Paradesipalem near Visakhapatnam. - Secondary Market Expansion: Sify plans to invest $5 billion to construct 20 smaller AI inference facilities in secondary cities such as Tier-2 and Tier-3 markets, making AI infrastructure access more equitable beyond metros. - NVIDIA DGX-Ready Data Centres: Sify’s data centres in Chennai, Mumbai, and Noida have been awarded the NVIDIA DGX-Ready Data Centre certification for liquid cooling.

Conclusion

The influx of investments in AI data centres underscores India’s strengths: affordable energy, significant renewable energy potential, a large pool of developers, and a strategically advantageous geographical position. India’s data centre market has attracted approximately $94 billion of investment since 2019, and this figure is expected to surpass $100 billion by 2027. These investments are not only boosting India’s digital infrastructure but also positioning the country as a global leader in AI and cloud services.