말레이시아의 하이퍼스케일 데이터센터 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2025-2030년)

According to Mordor Intelligence, the Malaysia hyperscale data center market size is valued at USD 6.03 Billion in 2025 and is forecast to reach USD 40.16 Billion by 2031, expanding at a 37.15% CAGR.

This report is Segmented by Data Center Type (Hyperscale Self-Build, Hyperscale Colocation), Component (IT Infrastructure, Electrical Infrastructure, and More), Tier Standard (Tier III, Tier IV), End-User Industry (Cloud and IT Services, Telecom, and More), Data Center Size (Large <=25 MW, and More). The Market Size and Forecasts are Provided in Terms of Value (USD).

Malaysia Hyperscale Data Center Market Trends and Insights

Surge in Hyperscaler CAPEX Announcements Drives Market Expansion

An unprecedented USD 14.7 billion pipeline from Google, AWS, Oracle and Microsoft has repositioned the Malaysia hyperscale data center market as a top-tier regional hub within 18 months. These investments dwarf Singapore's decade-long tally, sparking parallel spending on power distribution, liquid-cooling systems and inter-campus fiber rings. Competitive dynamics among the "big four" are elevating design standards, prompting 300 MW-plus campuses built for AI training clusters. Secondary suppliers-from switchgear to chilled-water modules-have accelerated footprint expansions inside Malaysia, reinforcing a virtuous supply-chain cycle for the sector.

E-commerce and Digital Banking Transformation Accelerates Cloud Adoption

Digital-economy output will exceed 25% of national GDP in 2025, propelled by e-commerce peaks and newly licensed digital banks that demand sub-10 ms latency. Shopping festivals 11.11 and 12.12 push transaction volumes that only hyperscale facilities can absorb, while TikTok Shop's regional surge underscores the importance of AI-driven content moderation nodes. Digital-bank applicants such as GXBank cite Tier IV mandates for uninterrupted ledger processing. Although 5G monetisation trails expectations, forthcoming edge-zones tied to national stand-alone 5G roll-outs will lift utilisation rates across distributed clusters.

Limited Renewable Energy Supply Constrains Hyperscaler Expansion

Grid renewables cover just 19% of national generation, well below hyperscalers' 100% carbon-free targets. Coal and gas still represent 81% of supply, limiting issuance of corporate PPAs despite the 2024 Green Electricity Tariff. Tenaga Nasional Berhad's USD 10.3 billion grid-modernisation plan aims to integrate more renewables, but timelines risk lagging new AI workloads scheduled for 2026-2027. Sarawak's hydropower surplus offers a workaround, yet transmission bottlenecks to Peninsular load centres remain unresolved.

Other drivers and restraints analyzed in the detailed report include:

1. Government Policy Framework Provides Competitive Advantages
2. International Subsea Cable Infrastructure Enhances Connectivity
3. Rising Construction and Operational Costs Challenge Profitability

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Self-built campuses held 55% of the Malaysia hyperscale data center market share in 2024 as hyperscalers prioritised bespoke layouts and direct control over mechanical-electrical-plumbing systems. The Malaysia hyperscale data center market size linked to self-build projects is supported by Google's USD 2 billion Klang Valley campus and AWS's USD 6.2 billion tri-availability-zone commitment. Oracle's USD 6.5 billion pledge further entrenches the model, ensuring anchor tenants for upstream power-distribution upgrades. Yet self-builds face land scarcity and lengthy grid connection lead times.

Colocation, expanding at 38.4% CAGR, offers rapid turn-up through shared power and cooling blocks. Princeton Digital Group's 150 MW AI-ready JH1 campus in Johor illustrates how large-scale colocation can secure green financing aligned with hyperscaler sustainability clauses. Digital Edge and STT GDC leverage multi-tenant cost amortisation to deploy immersion-cooling racks at scale. Over 2025-2031, rising AI inference-zone demand and capital-budget flexibility are expected to erode the self-build share, although both models will coexist across workload tiers.

IT stacks-servers, storage and networking-absorbed 40% of 2024 spending as GPU-dense nodes and 400G/800G switches powered AI and high-frequency analytics. The Malaysia hyperscale data center market benefits from persistent-memory adoption that reduces read-latency for e-commerce peak loads. Electrical systems, the next largest cost block, increasingly employ modular, containerised UPS strings to shorten build times.

Mechanical infrastructure rises fastest at 38.1% CAGR because liquid-cooling and single-phase immersion solutions are essential for racks surpassing 70 kW. Operators trial direct-to-chip cold-plate loops that lower facility PUE by up to 0.15 points. Sustainable Metal Cloud demonstrates 50% energy savings in comparative trials, nudging peers toward similar designs. As mechanical capex rises, service-life extension strategies-such as refrigerant-free adiabatic systems for Sarawak's hydropower-backed campuses-gain traction.

Complete Report Scope:

• By Data Center Type
  • Hyperscale Self-build
  • Hyperscale Colocation
• By Component
  • IT Infrastructure
    • Server Infrastructure
    • Storage Infrastructure
    • Network Infrastructure
  • Electrical Infrastructure
    • UPS Systems
    • Generators
    • Power Distribution Units
    • Transfer Switches and Switchgear
    • Other Electrical Infrastructure
  • Mechanical Infrastructure
    • Cooling Systems
    • Racks
    • Other Mechanical Infrastructure
  • General Construction
    • Core and Shell Development
    • Installation and Commissioning Services
    • Design Engineering
    • Fire Detection, Suppression and Physical Security
    • DCIM / BMS Solutions
• By Tier Standard
  • Tier III
  • Tier IV
• By End-user Industry
  • Cloud and IT Services
  • Telecom
  • Media and Entertainment
  • Government
  • BFSI
  • Manufacturing
  • E-Commerce
  • Other End-users
• By Data Center Size
  • Large ( Less than or equal to 25 MW)
  • Massive (Greater than 25 MW and Less than equal to 60 MW)
  • Mega (Greater than 60 MW)

List of Companies Covered in this Report:

1. Amazon Web Services
2. Microsoft Corporation
3. Alphabet Inc. (Google)
4. Meta Platforms Inc.
5. Alibaba Cloud
6. Tencent Cloud
7. Oracle Cloud
8. Digital Realty
9. Equinix Inc.
10. NTT Ltd.
11. AirTrunk
12. Keppel Data Centres
13. YTL Data Center
14. TM One / AIMS DC
15. Princeton Digital Group
16. EdgeConneX
17. GDS Holdings
18. SCALA Data Centers
19. Iron Mountain Data Centers
20. STACK Infrastructure
21. Vantage Data Centers
22. CoreWeave Inc.
23. OVHcloud

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Surge in hyperscaler CAPEX announcements (AWS, Microsoft, Google)
  • 4.2.2 Rapid adoption of e-commerce and digital banking requiring low-latency cloud zones
  • 4.2.3 Government incentives under MyDIGITAL and Tax-free Green Lane schemes
  • 4.2.4 New international subsea cable landings boosting bandwidth diversity
  • 4.2.5 Green Electricity Tariff enabling 24x7 renewable PPAs (under-reported)
  • 4.2.6 Hydropower surplus in Sarawak and Sabah lowering PUE for East-Malaysia campuses (under-reported)
• 4.3 Market Restraints
  • 4.3.1 Limited on-grid renewable energy versus hyperscaler sustainability targets
  • 4.3.2 High construction costs driven by imported MEP equipment and land premiums
  • 4.3.3 Water-stress restrictions in Selangor limiting evaporative cooling deployments (under-reported)
  • 4.3.4 Slow 5G DWN monetisation delaying edge-DC utilisation (under-reported)
• 4.4 Value / Supply-Chain Analysis
• 4.5 Technological Outlook

5 ARTIFICIAL INTELLIGENCE (AI) INCLUSION IN HYPERSCALE DATA CENTER (Sub-segments are subject to change depending on Availability of Data)

• 5.1 AI Workload Impact: Rise of GPU-Packed Racks and High Thermal Load Management
• 5.2 Rapid Shift toward 400G and 800G Ethernet Local OEM Integration and Compatibility Demands
• 5.3 Innovations in Liquid Cooling: Immersion and Cold Plate Trends
• 5.4 AI-Based Data Center Management (DCIM) Adoption Role of Cloud Providers

6 REGULATORY AND COMPLIANCE FRAMEWORK

7 KEY DATA CENTER STATISTICS

• 7.1 Existing Hyperscale Data Center Facilities in Malaysia (in MW) (Hyperscale Self build VS Colocation)
• 7.2 List of Upcoming Hyperscale Data Center in Malaysia
• 7.3 List of Hyperscale Data Center Operators in Malaysia
• 7.4 Analysis on Data Center CAPEX in Malaysia

8 MARKET SIZE AND GROWTH FORECASTS (VALUE AND VOLUME)

• 8.1 By Data Center Type
  • 8.1.1 Hyperscale Self-build
  • 8.1.2 Hyperscale Colocation
• 8.2 By Component
  • 8.2.1 IT Infrastructure
    • 8.2.1.1 Server Infrastructure
    • 8.2.1.2 Storage Infrastructure
    • 8.2.1.3 Network Infrastructure
  • 8.2.2 Electrical Infrastructure
    • 8.2.2.1 UPS Systems
    • 8.2.2.2 Generators
    • 8.2.2.3 Power Distribution Units
    • 8.2.2.4 Transfer Switches and Switchgear
    • 8.2.2.5 Other Electrical Infrastructure
  • 8.2.3 Mechanical Infrastructure
    • 8.2.3.1 Cooling Systems
    • 8.2.3.2 Racks
    • 8.2.3.3 Other Mechanical Infrastructure
  • 8.2.4 General Construction
    • 8.2.4.1 Core and Shell Development
    • 8.2.4.2 Installation and Commissioning Services
    • 8.2.4.3 Design Engineering
    • 8.2.4.4 Fire Detection, Suppression and Physical Security
    • 8.2.4.5 DCIM / BMS Solutions
• 8.3 By Tier Standard
  • 8.3.1 Tier III
  • 8.3.2 Tier IV
• 8.4 By End-user Industry
  • 8.4.1 Cloud and IT Services
  • 8.4.2 Telecom
  • 8.4.3 Media and Entertainment
  • 8.4.4 Government
  • 8.4.5 BFSI
  • 8.4.6 Manufacturing
  • 8.4.7 E-Commerce
  • 8.4.8 Other End-users
• 8.5 By Data Center Size
  • 8.5.1 Large ( Less than or equal to 25 MW)
  • 8.5.2 Massive (Greater than 25 MW and Less than equal to 60 MW)
  • 8.5.3 Mega (Greater than 60 MW)

9 COMPETITIVE LANDSCAPE

• 9.1 Market Share Analysis
• 9.2 Company Profiles {(includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)}
  • 9.2.1 Amazon Web Services
  • 9.2.2 Microsoft Corporation
  • 9.2.3 Alphabet Inc. (Google)
  • 9.2.4 Meta Platforms Inc.
  • 9.2.5 Alibaba Cloud
  • 9.2.6 Tencent Cloud
  • 9.2.7 Oracle Cloud
  • 9.2.8 Digital Realty
  • 9.2.9 Equinix Inc.
  • 9.2.10 NTT Ltd.
  • 9.2.11 AirTrunk
  • 9.2.12 Keppel Data Centres
  • 9.2.13 YTL Data Center
  • 9.2.14 TM One / AIMS DC
  • 9.2.15 Princeton Digital Group
  • 9.2.16 EdgeConneX
  • 9.2.17 GDS Holdings
  • 9.2.18 SCALA Data Centers
  • 9.2.19 Iron Mountain Data Centers
  • 9.2.20 STACK Infrastructure
  • 9.2.21 Vantage Data Centers
  • 9.2.22 CoreWeave Inc.
  • 9.2.23 OVHcloud

10 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 10.1 White-space and Unmet-Need Assessment