The Indo-Pacific Pivot: Capitalizing On The Infrastructure Supercycle.

The global data center industry is entering one of the most aggressive infrastructure expansion cycles it has ever experienced. Between 2025 and 2030, nearly one hundred gigawatts of new data center capacity is expected to be added worldwide, effectively doubling global installed capacity from roughly one hundred and three gigawatts to close to two hundred gigawatts. This scale of expansion is unprecedented in both speed and capital intensity, and yet it is being driven less by speculation and more by structural demand. Artificial intelligence, cloud adoption, digital public infrastructure and enterprise modernization are collectively reshaping how and where compute capacity is deployed.

While the Americas will continue to dominate global capacity in absolute terms, Asia Pacific has emerged as the most strategically important growth region of the decade. It is within this regional shift that India’s role becomes increasingly central. India is no longer a fringe participant in the global data center landscape. It is transitioning into a core market whose growth trajectory, cost structure and deployment timelines are influencing how global operators plan their portfolios.

India’s installed data center capacity today stands at approximately one to one point three gigawatts of IT load. By itself, that number appears modest when compared with mature markets in North America or parts of Europe. However, the relevance of India lies not in its current base, but in the steepness of its growth curve. Industry projections consistently point toward India reaching seven to nine gigawatts of installed capacity by 2030. That represents a five to seven fold expansion within a single decade, placing India among the fastest growing data center markets globally. This is not gradual maturation. It is rapid scale up occurring alongside the evolution of a new generation of digital workloads.

This expansion is already visible across India’s major data center hubs. Mumbai continues to anchor the market as the country’s largest concentration of capacity, while Chennai, Hyderabad, Bengaluru and the Delhi NCR region are scaling rapidly. Established operators such as Sify Technologies, Yotta Data Services and CtrlS have built large multi campus platforms across these cities, serving enterprise, cloud and hyperscale customers. Global players such as NTT and ST Telemedia Global Data Centres have also committed long term capital to India, recognizing the depth of demand and the opportunity to build at scale in a cost efficient environment. These deployments are not experimental in nature. They represent institutional grade infrastructure designed to support mission critical workloads for decades.

The demand profile underpinning this growth is evolving in ways that strongly favor India. Around 2027, global forecasts indicate a decisive shift in artificial intelligence workloads, with inference overtaking training as the dominant requirement. By 2030, traditional enterprise workloads are expected to account for roughly half of global demand, while AI inference could represent more than one third. This transition has profound implications for infrastructure design and location. Training workloads tend to concentrate in a small number of ultra dense campuses. Inference workloads, by contrast, are latency sensitive and geographically distributed, requiring compute closer to users, enterprises and digital platforms.

India’s digital economy aligns naturally with this inference led future. The country’s AI adoption is being driven by real time applications across digital payments, banking platforms, ecommerce, logistics, media streaming, healthcare systems and government digital services. These use cases demand availability, resilience and proximity rather than extreme density alone. As a result, India’s growth is likely to be characterized by a network of large metro and near metro data centers, supported by edge and regional facilities, rather than a narrow concentration of training megacampuses. This architectural fit places India at the center of the next phase of AI infrastructure rather than on its margins.

One of the most decisive factors supporting India’s expanding share in the global data center pie is deployability. In many mature global markets, the ability to build has become constrained not by capital or demand, but by power access. Grid interconnection timelines in cities such as Tokyo, Amsterdam, Frankfurt and London have stretched to six, eight or even ten years. These delays are forcing developers to redesign projects around self generation, private transmission lines or deferred delivery schedules. In contrast, India’s leading markets demonstrate materially shorter grid connection timelines. Mumbai, which accounts for a significant share of the country’s capacity, shows grid access timelines closer to two years. While India faces its own power challenges, the relative speed to connect capacity has emerged as a powerful competitive advantage in a world where timelines increasingly define feasibility.

Construction economics further reinforce this advantage. Global benchmarking consistently shows that data center construction costs in Tokyo and Singapore can reach fifteen to eighteen million dollars per megawatt. In the United States and Europe, costs typically fall in the ten to fourteen million dollar range. India sits at the lower end of the global spectrum, with average construction costs in Mumbai around six to seven million dollars per megawatt. This cost differential is not merely a financial footnote. It directly influences return expectations, capital deployment strategies and the willingness to scale rapidly.

Lower build costs allow operators in India to pursue larger campuses, phase capacity more flexibly and absorb higher specification requirements where needed without imposing unsustainable capital pressure. However, this advantage comes with an important caveat. Low cost does not mean low complexity. As capacity scales rapidly, India’s success will depend on execution discipline. Quality control, commissioning rigor, supply chain reliability and long term operational resilience will ultimately determine which platforms emerge as leaders.

India’s data center ecosystem is also expanding beyond traditional operators. Telecom and digital infrastructure players are playing an increasingly important role. Reliance Jio has integrated data centers into its broader digital and cloud strategy, aligning network, content and compute investments. In parallel, Nxtra by Airtel has built a pan India footprint supporting enterprise, cloud and edge use cases, leveraging Airtel’s network reach and enterprise relationships. This convergence of telecom, cloud and data center infrastructure is accelerating demand while also reshaping how capacity is consumed.

Another defining feature of India’s data center expansion is the growing involvement of real estate developers and infrastructure focused investors. Data centers have moved from being a niche alternative asset to a core real estate and infrastructure play. Developers such as RMZ Corp and Anant Raj Limited are leveraging land banks, capital access and execution capability to develop large scale data center campuses. Their entry reflects growing confidence in the long term stability of data center demand and the durability of the asset class. At the same time, international players such as Colt Data Centre Services are expanding their Indian presence, further validating the market’s maturity.

This influx of capital from diverse sources is reshaping India’s data center landscape. What was once dominated by a small number of specialized operators is now becoming a multi layered ecosystem involving telecom providers, hyperscalers, real estate developers, infrastructure funds and sovereign backed investors. The result is a more resilient market with multiple pathways to scale.

Viewed through an Indo Pacific lens, India’s role becomes even more significant. Southeast Asian hubs such as Singapore remain critical connectivity nodes, but face acute constraints related to land availability, power access and rising construction costs. Emerging markets across the region show demand growth but often lack execution depth. India occupies a unique middle ground, offering scale, affordability and a rapidly maturing execution ecosystem. This makes it a natural anchor for regional capacity planning, particularly as cross border data flows, AI adoption and digital trade continue to expand.

As India’s share in the global data center pie grows, the nature of the challenge is evolving. The question is no longer whether India can attract data center investment. That phase has passed. The focus now is on sustaining reliability, strengthening grid resilience, integrating renewable energy without compromising uptime and building a skilled workforce capable of operating at hyperscale standards. Battery energy storage, hybrid power strategies and private power procurement will play an increasingly important role in preserving India’s deployability advantage.

In the coming decade, global data center competition will be defined by three variables: speed to power, total delivered cost and execution maturity. India performs strongly on the first two and is rapidly improving on the third. This combination positions India not just as a beneficiary of the global data center supercycle, but as a market capacable of shaping how that cycle unfolds across the Indo Pacific.

India’s growing share in the global data center pie is therefore not accidental. It reflects a convergence of demand dynamics, economic advantage and timing. If execution capability continues to mature in parallel with capacity growth, India will move beyond being a growth market and become a structural pillar of the global digital infrastructure economy.

Topic Info

Expert: Chirag Kuntal

Library: Monitoring & Controls

Topic: The Indo-Pacific Pivot: Capitalizing On The Infrastructure Supercycle.

Date: 12 Jan 2026