Malaysia Hyperscale Data Center Market Size and Share

Malaysia Hyperscale  Data Center Market (2025 - 2030)
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Malaysia Hyperscale Data Center Market Analysis by 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. Ongoing hyperscaler capital-expenditure announcements, government tax incentives and a rapid shift toward AI-ready facilities are accelerating deployments, while connectivity improvements and abundant green-power prospects amplify investor appetite. Self-build campuses still dominate capacity but high-density, multi-tenant colocation is growing faster, propelled by smaller cloud platforms seeking quick, capital-light entry. Mechanical infrastructure—especially liquid and immersion cooling—outpaces all other component spends as operators retrofit for GPU clusters. Regionally, Johor’s proximity to Singapore and lower land costs spur the fastest expansion, though the Klang Valley retains critical mass for talent and network density.

Key Report Takeaways

  • By data center type, hyperscaler self-build facilities held 55% of the Malaysia hyperscale data center market share in 2024; hyperscale colocation is advancing at a 38.4% CAGR to 2030.
  • By component, IT infrastructure accounted for 40% of the Malaysia hyperscale data center market size in 2024, and mechanical infrastructure is projected to rise at a 38.1% CAGR through 2030.
  • By tier standard, Tier III deployments commanded 73% share of the Malaysia hyperscale data center market size in 2024, while Tier IV facilities are expanding at a 37.5% CAGR between 2025-2030.
  • By end-user industry, cloud and IT services represented 50% of the Malaysia hyperscale data center market size in 2024, and media and entertainment is forecast to grow at a 38.3% CAGR through 2030.
  • By data center size, massive facilities captured 45% of capacity in 2024 and mega-scale campuses are growing at a 39.0% CAGR to 2030.

Segment Analysis

By Data Center Type: Self-build Dominance Faces Colocation Challenge

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.

Malaysia Hyperscale  Data Center Market: Market Share by Data Center Type
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By Component: IT Infrastructure Leads While Mechanical Systems Accelerate

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.

By Tier Standard: Tier III Dominance Challenged by Tier IV Growth

Tier III sites remain 73% of installed capacity, balancing cost and 99.982% availability. Enterprises migrating SAP HANA or low-latency SaaS workloads accept Tier III redundancy, and most content-delivery nodes follow suit. Government cloud baselines currently mirror this tier for general-purpose compute.

Tier IV, however, grows at 37.5% CAGR as digital-banking regulations and real-time AI training require 99.995% uptime. The Cyber Security Act 2024 classifies banking, telecom and transport systems as Critical Information Infrastructure, effectively mandating Tier IV for many new deployments. Oracle’s forthcoming Kedah campus targets this standard with dual power feeds and fault-tolerant switchgear. The Malaysia hyperscale data center market size allocated to Tier IV builds is therefore set to climb sharply within banking, healthcare and sovereign workloads.

By End-User Industry: Cloud Services Dominate Amid Media Growth

Cloud and IT services consumed 50% of 2024 demand as hyperscalers expanded ASEAN service portfolios from Malaysian availability zones. SaaS providers use Johor sites as redundant DR locations, reinforcing the Malaysia hyperscale data center market’s reputation for regional resilience. Telecommunications carriers, the next-largest slice, integrate edge nodes for 5G network-slicing trials.

Media and entertainment posts the highest 38.3% CAGR on the back of regional content-localisation policies and rising over-the-top streaming subscribers. ByteDance anchors GPU clusters in Johor to transcode short-form video at millisecond latencies. Government workloads increase steadily as ministries consolidate on a sovereign-cloud framework, while BFSI players leverage new digital-bank licences to capture under-banked segments.

Malaysia Hyperscale  Data Center Market: Market Share by End-user Industry
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By Data Center Size: Massive Facilities Lead While Mega-scale Accelerates

Massive sites between 25 MW and 60 MW hold 45% of installed load, reflecting hyperscalers’ preference for modular, multi-building campuses. These footprints balance scale economies with staged capex releases, making them the workhorse format of the Malaysia hyperscale data center market.

Mega-scale projects above 60 MW grow fastest at 39.0% CAGR, catalysed by GPU-cluster density and renewable-power purchase leverage. NTT’s 290 MW Johor campus and Vantage’s 256 MW Cyberjaya site epitomise this trend. STACK Infrastructure’s 220 MW expansion couples direct-liquid cooling with on-site battery storage to shave peak loads. Land-bank strategies now aim at 100-hectare zones to future-proof expansion corridors amid accelerating AI compute requirements.

Geography Analysis

The Klang Valley retains the country’s largest cluster owing to mature fiber backbones, skilled workforce and government proximity. Google’s selection of Elmina Business Park for its first campus underpins continued investor confidence despite water-stress cautions in Selangor. Microsoft’s three Greater Kuala Lumpur builds deepen the supply pipeline, yet escalating electricity tariffs push operators toward efficiency upgrades or partial off-grid solar-plus-storage solutions.  

Johor emerges as the fastest-growing node in the Malaysia hyperscale data center market, fuelled by land priced at discounts of up to 60% versus Singapore. JPMorgan forecasts capacity may top 5 GW by 2035, a scenario buttressed by Princeton Digital Group’s and NTT’s multi-hundred-megawatt commitments. State authorities, however, rejected 30% of January-May 2024 applications to preserve power and water reserves, signalling stricter sustainability gating that could elongate approval cycles for latecomers.  

East Malaysia’s Sarawak leverages its 6.2 GW hydropower base to court carbon-neutral campuses. Transmission bottlenecks to Peninsular load centres curtail export potential, but local demand for AI model-training farms supports green mega-campus concepts. Penang and Kedah maintain moderate share; semiconductor ecosystems there reduce spare-part lead times and enable frictionless trucking of prefabricated modules to new sites.

Competitive Landscape

Competition is moderate-fragmented as no operator exceeds a one-quarter share of installed IT load. Global hyperscalers, self-building core regions, rely on colocation for surge demand, ensuring diverse revenue per square-foot ratios across facilities. Equinix and Digital Realty employ global platform consistency to lure financial-services tenants adhering to cross-border transfer guidelines.  

Regional specialists like YTL Data Center and Princeton Digital Group exploit local land banks and utility partnerships for speed-to-power advantages. Digital Edge pilots hybrid super-capacitor storage with Donghwa ES to reduce generator run-time and thereby shrink Scope 1 emissions. Sustainable Metal Cloud’s immersion technology wins proof-of-concept deals with AI-focused research firms, offering 50% energy savings on comparable workloads.  

Innovation around renewable-energy hedging, edge-location fire sprinklers designed for immersion tanks and AI-driven DCIM is emerging as key differentiation. White-space opportunities persist in East Malaysia where hydropower-linked green attributes enable premium pricing for 24×7 clean-energy-matching contracts.

Malaysia Hyperscale Data Center Industry Leaders

  1. Microsoft Corporation

  2. Amazon Web Services

  3. Google (Alphabet Inc.)

  4. NTT Ltd.

  5. Keppel Data Centres

  6. *Disclaimer: Major Players sorted in no particular order
Malaysia Hyperscale  Data Center Market Concentration
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Recent Industry Developments

  • July 2025: Malaysia’s tariff restructure places data centers in an ultra-high-voltage band, lifting power costs by 10-15%.
  • May 2025: Google awards Gamuda a RM 1 billion construction package and purchases 389 acres in Negeri Sembilan.
  • April 2025: Malaysia issues Cross-Border Personal Data Transfer Guidelines defining adequacy standards.
  • March 2025: Microsoft confirms three Malaysian data centers launching by Q2 2025, projected to add 37,575 new jobs.

Table of Contents for Malaysia Hyperscale Data Center Industry Report

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
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Research Methodology Framework and Report Scope

Market Definitions and Key Coverage

Our study defines the Malaysia hyperscale data center market as the annual revenue earned from self-built or wholesale facilities engineered to operate beyond 10 MW of critical IT load. Figures are expressed in U.S. dollars and cover cloud operators' internal usage as well as contracted wholesale leases.

Scope Exclusions: Retail colocation suites, sites below 10 MW, edge micro-sites, and managed service revenues are excluded.

Segmentation Overview

  • 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)

Detailed Research Methodology and Data Validation

Primary Research

Structured interviews with facility developers, utility engineers, and cloud architects across Johor, Klang Valley, and Penang confirmed achievable PUE bands, contract pricing, and capacity ramp-up curves, closing gaps left by desk sources.

Desk Research

We compiled baseline data from the Malaysian Communications and Multimedia Commission, Energy Commission power statistics, Bank Negara capital-flow tables, and Malaysia Digital Economy Corporation investment trackers. Trade insights from the Asia Pacific Data Centre Association, customs import logs for servers, public filings archived in D&B Hoovers, and news captured through Dow Jones Factiva supplemented the picture. These sources illustrate, not exhaust, the reference pool used.

Market-Sizing and Forecasting

A top-down reconstruction begins with operational and announced MW capacity, reconciled with grid-connection data, then multiplied by average utilization and price per kW to reach 2025 revenue. Select bottom-up checks, sampled land-bank roll-ups and disclosed lease rates, calibrate totals. Core variables include grid tariffs, capacity additions, hyperscaler cloud bookings, subsea-cable upgrades, and renewable-quota uptake. A multivariate regression supported by ARIMA extensions projects the market to 2030; regional averages agreed during expert calls resolve missing datapoints.

Data Validation and Update Cycle

Outputs pass multi-layer variance checks; anomalies trigger re-work, and every assumption is re-signed before publication. The model refreshes yearly, with interim updates for major capacity or tariff shocks.

Why Mordor's Malaysia Hyperscale Data Center Baseline Commands Reliability

Published estimates diverge because each firm chooses different scopes, pricing bases, or refresh cadences.

Mordor Intelligence counts revenue from both self-build and wholesale hyperscale assets, applies constant 2024 exchange rates, and revisits drivers every twelve months, whereas other studies may track only CapEx, omit Johor's surge pipeline, or freeze rates for the entire study term.

Benchmark comparison

Market Size Anonymized source Primary gap driver
USD 6.03 B (2025) Mordor Intelligence -
USD 4.04 B (2024) Global Consultancy A Tracks total investment across all data-center types; measures CapEx, not revenue
USD 1.55 B (2024) Regional Consultancy B Blends hyperscale with managed and edge sites; excludes self-build capacity
USD 0.30 B (2025) Industry Association C Focuses on the Kuala Lumpur cluster; omits Johor mega-campus builds

Once differing scopes and metrics are reconciled, our disciplined model offers the most balanced and repeatable baseline for decision-makers.

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Key Questions Answered in the Report

What is the current size and growth outlook of the Malaysia hyperscale data center market?

The market stands at USD 6,035.12 million in 2025 and is projected to reach USD 40,167.84 million by 2031, registering a 37.15% CAGR

Which Malaysian region is expanding fastest for hyperscale capacity?

Johor is the country’s fastest-growing data-center cluster, with capacity expected to exceed 5 GW by 2035 thanks to lower land costs and direct links to Singapore

What government incentives are attracting data-center investors?

MyDIGITAL tax breaks, Malaysia Digital (MD) Status benefits and streamlined approvals through the Digital Investment Office shorten project lead times and cut corporate tax burdens for qualifying operators

How does limited renewable energy supply affect hyperscale expansion plans?

On-grid renewables cover only 19% of national generation, creating a shortfall against hyperscalers’ 100% clean-power goals and adding complexity to long-term power-purchase agreements

On-grid renewables cover only 19% of national generation, creating a shortfall against hyperscalers’ 100% clean-power goals and adding complexity to long-term power-purchase agreements

Mechanical systems—particularly liquid and immersion cooling designed for GPU-dense racks—are expanding at a 38.1% CAGR as operators retrofit for high-thermal AI workloads

What financial impact will the July 2025 electricity-tariff change have on operators?

Reclassification into the ultra-high-voltage band is expected to raise data-center power bills by 10-15%, adding roughly RM 63 million in annual costs for a 100 MW facility

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