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Italy Existing & Upcoming Data Center Portfolio

  • Database

  • July 2024
  • Region: Italy
  • Arizton
  • ID: 5794201
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 Italy data center market portfolio analysis, which will provide the following information on the colocation data centers:

  • Detailed Analysis of 48 existing data centers
  • Detailed Analysis of 12 upcoming data centers
  • Locations covered: Ancona, Arcene, Arezzo, Bologna, Frosinone, Massarosa, Milan, Padua, Palermo, Pavia, Perugia, Piacenza, Pisa, Rome, Trento, Treviso, Turin, Venice
  • 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:

  • Upcoming data center capacity in Italy is over 250 MW on complete build, which is almost the current existing capacity in the country
  • Milan, Rome, and Arezzo dominate existing data center capacity in Italy
  • Around 98% of the upcoming capacity is concentrated in Milan
  • Emerging data center locations are Rome and Arezzo

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

Existing Data Centers (48 Facilities):

  • Market Snapshot
  • Location (Region/Country/City)
  • Facility Address
  • Operator/Owner Name
  • Data Center Name, i.e., (IT4 or AVALON 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 (12 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

  • APPLiCO Digital Lab
  • Aruba
  • AtlasEdge
  • BT Italia
  • Caldera21 (CDLAN )
  • Compass Datacenters
  • Data4 Group
  • Digital Realty
  • Elmec Informatica
  • Eni
  • Equinix
  • Fastnet
  • Fastweb
  • Irideos
  • IT Gate
  • Itnet
  • MIX
  • Naquadria
  • Nehos
  • NS3
  • Open Hub Med
  • Rack One
  • Retelit
  • Seeweb
  • STACK Infrastructure
  • Telecom Italia
  • Unidata
  • University of Trento
  • Covi Costruziono,Dedagroup
  • GPI & ISA
  • Vantage Data Centers
  • Vianova
  • Vitali


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.