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Singapore Existing & Upcoming Data Center Portfolio

  • Database

  • July 2024
  • Region: Singapore
  • Arizton
  • ID: 5983091
1h Free Analyst Time
1h Free Analyst Time

Speak directly to the analyst to clarify any post sales queries you may have.

This database (Excel) product covers the Singapore data center market portfolio analysis, which will provide the following information on the colocation data centers:

  • Detailed Analysis of 41 existing data centers
  • Detailed Analysis of 5 upcoming data centers
  • Locations covered: Eastern Singapore, Southern Singapore, and Northern Singapore
  • Existing white-floor space (square feet)
  • Upcoming white-floor space (square feet)
  • Current IT load capacity (2023)
  • Future capacity additions (2024-2028)
  • Retail Colocation Pricing:
    • Quarter Rack (1/4)
    • Half Rack Cabinets (1/2)
    • Full Rack Cabinet (42U/45U/47U/etc.)
  • Wholesale colocation (per kW) pricing

Key Market Highlights:

  • The existing data center capacity in Singapore is over 600 MW on full build, which is almost two times the country's current Upcoming capacity
  • Eastern Singapore, Northern Singapore, and Southern Singapore dominate existing data center capacity in Singapore
  • Around 70% of the upcoming capacity is concentrated in Eastern Singapore, Northern Singapore, Southern Singapore
  • Expansion of data center presence and AI demand will fuel strong growth across the market

The data points covered in the database across each facility are mentioned below:

Existing Data Centers (41 Facilities):

  • Market Snapshot
  • Location (Region/Country/City)
  • Facility Address
  • Operator/Owner Name
  • Data Center Name i.e., (SIN1 or STT Defu 3)
  • Core & Shell Area (White-Floor Area)
  • Core & Shell Power Capacity (IT Load Capacity)
  • Rack Capacity
  • Year of Operations
  • Design Standards (Tier I - IV)
  • Power/Cooling Redundancy

Upcoming Data Centers (5 Facilities):

  • Investment Snapshot
  • Location (Region/Country/City)
  • Investor Name
  • Area (White-Floor Area)
  • Power Capacity (IT Load Capacity)
  • Investment ($ Million)
  • Electrical Infrastructure Investment ($ Million)
  • Mechanical Infrastructure Investment ($ Million)
  • General Construction Services Investment ($ Million)
  • Announcement Year
  • Project Status (Opened/Under Construction/Announced & Planned)
  • Active or Expected Year of Opening

Target Audience:

  • Data center Real Estate Investment Trusts (REIT)
  • Data center Construction Contractors
  • Data center Infrastructure Providers
  • New Entrants
  • Consultants/Consultancies/Advisory Firms
  • Corporate and government agencies

Table of Contents

1. About the Database

2. Scope & Assumptions

3. Definitions

4. Snapshot: Existing & Upcoming Data Center Facility

5. Existing Data Center Database

6. Upcoming Data Center Facility

7. Existing Vs Upcoming Capacity (Infographics)

8. Colocation Pricing

Companies Mentioned

  • AirTrunk
  • BDx
  • CapitaLand
  • China Mobile International
  • Digital Realty
  • DODID
  • Epsilon Telecommunications
  • Equinix
  • Evoque Data Centre Solutions
  • Global Switch
  • INAP
  • Iron Mountain
  • Keppel DC REIT
  • Mapletree Investment Trust
  • NTT Global Data Centers
  • Princeton Digital Group
  • Racks Central
  • Singtel
  • ST Telemedia Global Data Centres
  • Telehouse (KDDI)
  • Telin Singapore

Methodology


Our research comprises a mix of primary and secondary research. The secondary research sources that are typically referred to include, but are not limited to, company websites, annual reports, financial reports, company pipeline charts, broker reports, investor presentations and SEC filings, journals and conferences, internal proprietary databases, news articles, press releases, and webcasts specific to the companies operating in any given market.

Primary research involves email interactions with the industry participants across major geographies. The participants who typically take part in such a process include, but are not limited to, CEOs, VPs, business development managers, market intelligence managers, and national sales managers. We primarily rely on internal research work and internal databases that we have populated over the years. We cross-verify our secondary research findings with the primary respondents participating in the study.



 

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