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印度数据中心容量到2030年将增长五倍India's data centre capacity set for 5x surge by 2030

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印度数据中心行业即将迎来前所未有的投资热潮,预计到2030年3月,装机容量将增加五倍,达到约7.5吉瓦。据Crisil Ratings(克瑞西尔评级)周二(11月3日)发布的一份报告,这一扩张预计将在未来四个财年吸引超过3万亿卢比的投资。这种增长由生成式人工智能、企业数字化和数据消费激增所驱动,将改变印度的数字基础设施格局。

India's data centre industry is poised for an unprecedented investment boom, with installed capacity expected to increase five-fold to around 7.5 gigawatts by March 2030. The expansion is expected to attract investments of more than ₹3 lakh crore over the next four financial years, according to a report by Crisil Ratings on Tuesday, November 3. The growth, driven by generative artificial intelligence , enterprise digitalisation and rising data consumption, is set to transform India's digital infrastructure landscape.

然而,该行业将不断增长的需求转化为可持续回报的能力,将取决于电力接入的及时性、监管审批以及项目执行的纪律性。

However, the industry's ability to convert rising demand into sustainable returns will depend on timely power connectivity, regulatory approvals and disciplined project execution."

Crisil Ratings表示:“近一半的新增产能已在长期合同下锁定,限制了投机性开发并降低了承租风险。由云采用和计算密集型GenAI工作负载驱动的与超大规模客户的预先捆绑,从一开始就提供了收入确定性。这有助于降低项目风险,即使计划建设的规模和速度加剧了执行要求。”

Nearly half of the upcoming capacity is already committed under long-term contracts, limiting speculative development and reducing offtake risk," Crisil Ratings said. "Upfront tie-ups with hyperscalers, driven by cloud adoption and compute-intensive GenAI workloads, provide revenue certainty from the outset. This helps de-risk projects, even as the scale and speed of the planned build-out intensify execution requirements."

来自全球超大规模客户的强劲需求,在云采用和日益计算密集型的GenAI工作负载支持下,也在鼓励投资并减少承租不确定性。印度的成本优势增强了数据中心吸引力印度具有竞争力的成本结构正增加其作为数据中心目的地的吸引力。得益于相对有竞争力的土地、建设和劳动力成本,开发成本比几个竞争的亚太市场低约20%。

Strong demand from global hyperscalers, supported by cloud adoption and increasingly compute-intensive GenAI workloads, is also encouraging investments and reducing offtake uncertainty. India's cost advantage strengthens data centre appealIndia's competitive cost structure is adding to its appeal as a data centre destination. Development costs are around 20% lower than in several competing Asia-Pacific markets, supported by relatively competitive land, construction and labour costs.

加上较低的电价,这使得租金水平能比同类市场低30%-35%。

Combined with lower power tariffs, this allows rental rates to remain 30-35% below those in peer markets.

由可再生能源供电的大型园区的可用性,也增强了印度对寻求履行可持续发展承诺的超大规模数据中心运营商的吸引力。Crisil Ratings董事Anand Kulkarni表示:“印度的结构性成本优势进一步增强了其作为数据中心目的地的吸引力。得益于更具竞争力的土地、建设和劳动力成本,开发成本比亚太地区几个竞争对手市场低约五分之一。加上较低的电价,这使得租金比同类市场低30%-35%。开发由可再生能源供电的大型园区的能力也与超大规模运营商的可持续发展目标高度契合,强化了印度的竞争定位。”

The availability of large campuses powered by renewable energy also strengthens India's appeal among hyperscalers seeking to meet their sustainability commitments. Anand Kulkarni, Director at Crisil Ratings, said, "India's structural cost advantages further strengthen its attractiveness as a data centre destination. Development costs are around one-fifth lower than in several competing Asia-Pacific markets owing to more competitive land, construction and labour costs. Combined with lower power tariffs, this translates into rentals that are 30-35% lower than in peer markets. The ability to develop large, renewable-powered campuses also aligns well with the sustainability goals of hyperscalers, reinforcing India's competitive positioning."

电力基础设施带来执行挑战然而,计划扩张的规模给电力基础设施带来了巨大压力。Crisil Ratings表示,约6吉瓦的即将投产产能中,近四分之三预计将集中在维沙卡帕特南、孟买和海得拉巴。

Power infrastructure poses execution challengesHowever, the scale of the planned expansion is putting considerable pressure on power infrastructure. Nearly three-fourths of the approximately 6 GW of upcoming capacity is expected to be concentrated in Visakhapatnam, Mumbai and Hyderabad, Crisil Ratings said.

这些城市的数据中心产能可能分别相当于其当前峰值电力需求的约80%、60%和20%。这种集中使得及时的电网接入和输电能力扩张至关重要,以避免投产延误和成本超支。需求可见性和预先承诺为应对这些执行挑战提供了一定保护。

Data centre capacity in these cities could be equivalent to around 80%, 60% and 20%, respectively, of their current peak electricity demand. This concentration makes timely grid connectivity and transmission capacity expansion critical to avoiding commissioning delays and cost overruns. Demand visibility and advance commitments offer some protection against these execution challenges.

印度现有数据中心设施的运营利用率约为90%,而目前在建产能中已有超过95%被预订。这些高预订水平有望帮助开发商在项目投运后相对较快地提升运营并产生现金流。更长的合同改善了收入可预见性这些合同的质量也有所提升,更长的承诺期提供了更强的收入可预测性。Crisil Ratings(克瑞尔评级)副总监Nitin Bansal(尼廷·班萨尔)表示:“签约收入的质量也得到了加强。合同期限已从过去的10-12年延长至15-20年,增强了现金流可预见性。此外,高昂的迁移成本和不断上升的替换性资本支出应有助于客户留存,尽管尚未建立有意义的合同续约记录。”

Existing data centre facilities in India are operating at around 90% utilisation, while more than 95% of the capacity currently under construction has already been contracted. These high pre-commitment levels should help developers ramp up operations and generate cash flows relatively quickly once projects are commissioned. Longer contracts improve revenue visibilityThe quality of these contracts has also improved, with longer commitments providing greater revenue predictability. Nitin Bansal, Associate Director at Crisil Ratings, said, "The quality of contracted revenues has also strengthened. Contract tenors have lengthened to 15-20 years from 10-12 years earlier, enhancing cash flow visibility. Furthermore, high migration costs and rising replacement capex should support customer retention, although a meaningful contract renewal track record is yet to be established."

他补充称,开发商需要确保现有设施通过及时升级以支持更高的功率密度和先进的冷却基础设施,从而保持对新一代生成式AI工作负载的适用性。超大规模客户集中度可能给租金率带来压力然而,对超大规模客户日益增长的依赖也带来了自身的风险。预计到2030财年,其租赁数据中心产能的份额将从2026财年的60-65%增至75-80%,使开发商面临更大的客户集中度和议价能力风险。

He added that developers would need to ensure existing facilities remain relevant for next-generation GenAI workloads through timely upgrades to support higher power density and advanced cooling infrastructure. Hyperscaler concentration could pressure rental ratesHowever, growing reliance on hyperscalers brings its own set of risks. Their share of leased data centre capacity is expected to increase to 75-80% by fiscal 2030 from 60-65% in fiscal 2026, exposing developers to greater customer concentration and bargaining-power risks.

尽管租金率目前总体保持稳定,但产能的加速扩充可能会增强超大规模客户的谈判地位,并对定价构成压力,从而可能影响项目回报。高资本支出将考验信用概况该行业的信用概况也将因建设设施所需的巨额前期资本支出而在收入产生前接受考验。

While rental rates have remained broadly stable so far, accelerated capacity additions could strengthen hyperscalers' negotiating position and put pressure on pricing, potentially affecting project returns. High capital expenditure to test credit profilesThe sector's credit profile will also be tested by the substantial upfront capital expenditure required to build facilities before revenue generation begins.

投资通常比现金流早24-36个月发生,使得债务水平在中期内维持在高位。

Investments typically precede cash flows by 24-36 months, keeping debt levels elevated over the medium term.

然而,随着项目投入运营,签约产能转为运营产能且利用率提升,现金流生成能力应会增强,支持杠杆率逐步下降。投资周期既蕴含重大增长机遇,也构成巨大执行挑战。长期合同、高利用率以及印度的成本优势,为扩张和信用稳定性奠定了坚实基础。不过,开发商能否获取电力、获得监管批准、按期投产项目并控制成本,将决定其能否将需求繁荣转化为可持续的财务表现。生成式人工智能驱动的需求能否持久,以及行业能否适应快速演变的算力需求,也将塑造长期回报。

However, as projects are commissioned, contracted capacity becomes operational and utilisation improves, cash generation should strengthen, supporting a gradual reduction in leverage. The investment cycle presents both a significant growth opportunity and a substantial execution challenge. Long-term contracts, high utilisation and India's cost advantages provide a strong foundation for expansion and credit stability. However, developers' ability to secure power, obtain regulatory approvals, commission projects on schedule and contain costs will determine whether they can convert the demand boom into sustainable financial performance. The durability of GenAI-led demand and the industry's ability to accommodate rapidly evolving computing requirements will also shape returns over the longer term.

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