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PUBLISHER: IDC | PRODUCT CODE: 1876407

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PUBLISHER: IDC | PRODUCT CODE: 1876407

Asia/Pacific (Excluding Japan) Datacenter Deployment Model and Spend Forecast, 2025-2029

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PAGES: 22 Pages
DELIVERY TIME: 1-2 business days
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In summary, the APEJ datacenter market is entering a period of exponential and transformative growth, driven by cloud, AI, and digital services. Although the growth prospects are exceptional, the sector faces mounting pressure to address energy consumption and carbon emissions. Technology suppliers must prioritize sustainability, invest in next-generation infrastructure, and collaborate with ecosystem partners to capture emerging opportunities. The ability to deliver scalable, energy-efficient solutions that meet evolving customer and regulatory demands will be the key to success in this dynamic and rapidly expanding market."The APEJ datacenter market is rapidly evolving with cloud and AI driving growth, but rising energy use and emissions demand urgent action. Technology suppliers must focus on sustainability and scalable, efficient infrastructure to stay competitive," says Mikhail Jaura, senior research analyst on cloud and datacenter services, IDC Asia/Pacific.

Product Code: AP52286625

IDC Market Forecast Figure

Executive Summary

  • A Record Year for Datacenter Development: 2025

Advice for Technology Suppliers

  • Key Recommendations for Market Participants

Market Forecast

Market Context

  • Drivers and Inhibitors
    • Drivers
      • AI-Ready Datacenters
      • Sustainability and Energy Efficiency
      • Regulatory Compliance, Data Sovereignty, and Government Incentives
    • Inhibitors
      • Infrastructure and Regulatory Challenges
      • Cost, Supply Chain, and Talent Pressures
  • Significant Market Developments
  • Changes from Prior Forecast

Market Definition

  • Types of Datacenter Ownership
  • Types of SPs
    • Hyperscalers
    • Cloud SPs
    • Digital SPs
    • Communication Services
    • Dedicated Hosting and Managed Services
  • Determination of Datacenter Demand from Colocation

Methodology

Related Research

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