Italy Data Center Market Size
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Study Period | 2017 - 2029 |
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Market Volume (2024) | 411.4 MW |
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Market Volume (2029) | 805.2 MW |
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Largest Share by Tier Type | Tier 4 |
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CAGR (2024 - 2029) | 14.37 % |
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Fastest Growing by Tier Type | Tier 3 |
Major Players |
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*Disclaimer: Major Players sorted in no particular order |
Italy Data Center Market Analysis
The Italy Data Center Market size is estimated at 411.4 MW in 2024, and is expected to reach 805.2 MW by 2029, growing at a CAGR of 14.37%. Further, the market is expected to generate colocation revenue of USD 2,006 Million in 2024 and is projected to reach USD 3,926.3 Million by 2029, growing at a CAGR of 14.37% during the forecast period (2024-2029).
USD 2006.01 Million
Market Size in 2024
USD 3,926.2 Million
Market Size in 2029
17.4%
CAGR (2017-2023)
14.4%
CAGR (2024-2029)
IT Load Capacity
411.4 MW
Value, IT Load Capacity, 2024
The IT load capacity of the Italian data center market may grow steadily and reach 805.2 MW by 2029. Media & entertainment, manufacturing, BFSI, and e-commerce primarily catalyse growing IT load capacity by increasing data consumption.
Total Raised Floor Space
Sq. Ft. 2.74 M
Volume, Raised Floor Space, 2024
The market is witnessing the entry of new players into the market, including the joint venture between Compass Data Centers and Hines. This joint venture would build a major facility with a capacity of 48 MW.
Installed Racks
137,135
Volume, Installed Racks, 2024
The country's total number of installed racks is expected to reach 268,408 units by 2029. Greater Milan will likely house the maximum number of racks by 2029.
# of DC Operators & DC Facilities
16 and 29
Volume, DC Facilities, 2024
Due to the growing demand of digitalization and the land required for the development of data centers is easily available and affordable, resulting in the increasing number of facilities from 29 to 31 in the future.
Leading Market Player
18.6%
Market Share, Aruba S.p.a, 2023
Aruba led the market in 2023, with a share of 18.6% and an operational capacity of 72.8 MW. The company is expected to strengthen its presence in the Italian market by developing DC facility with an IT load capacity of 30 MW in Rome.
Tier 4 data center accounted for majority share in terms of volume in 2023, and is expected to dominate through out the forecasted period
- The initial data centers were built in accordance with the minimal demand. Hence the data structure facilities created were small. These facilities were mainly Tier 1 & 2 certified due to their minimal requirements, and they had minimum racks installed. These data centers are expected to hold 3% of the market share, which is expected to decrease to 1% by 2029, with the segment accounting for an IT load capacity of 14.1 MW.
- Tier 4 data centers lead the market in terms of capacity. Tier 4 data center capacity is expected to increase from 227.6 MW in 2023 to 918.2 MW in 2029 at a CAGR of 26.2%. The increasing demand for smartphone applications to view streaming content, play online games, and shop online by Italian users has led data center companies to increase the number of racks in their facilities.
- Tier 3 facilities are expected to witness the second-highest growth of 15.8% during the forecast period, while the segment's IT load capacity is expected to grow from 163.06 MW in 2023 to 394.08 MW by 2029. It is also expected to hold a market share of 40.5% in 2023, which is expected to decrease to 29.7% by 2029, owing to the increasing development and infrastructural advancements of facilities to procure Tier 4 certification from the Uptime Institute.
- As more cities adopt smart systems and evolve into smart cities, the demand for huge facilities to process data is expected to grow proportionally. The number of subscribers to VOD in Italy increased by five times, from 3.3 million in 2017 to 15 million in 2021. Thus, BFSI, media and entertainment, and manufacturing are end-user segments expected to boost the growth of Tier 4 and Tier 3 facilities in line with huge data generation.
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Italy Data Center Market Trends
Increment in the subscriber penetration rate is boosting the market demand
- Italy has increasing smartphone usage in the country, with a smartphone adoption rate expected to increase from 77% in 2021 to 81% in 2025. Despite a decreasing population, the expected increment in the subscriber penetration rate from 89% in 2021 to 90% by 2025 reflects a promising scenario for adoption.
- However, the decreasing population with a negative growth rate and higher average age play a crucial role in determining device usage in the country. The data from ISTAT highlighted the average age of the population in 2021 to be 45.9 years, compared to 44.9 years in 2017.
- Italy has a unique demographical scenario regarding digitalization and adopting the latest telecommunications technology. The country was among the initial ones to deploy a 3G network and has been ahead of the international timeline. The government legislation on the 'Right To Repair' and 'Planned Obsolescence Law' would allow users to repair their phones more, which may help them avoid expenditure on new smartphones. This may further hamper the growth of the number of new smartphones in the market. This may further lead to a decrease in data generation due to lesser data-generating points in Italy, affecting the demand for data centers in the region.
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Investments in the country's FTTH broadband service is boosting the market demand
- Italy has been a significant consumer of broadband services, with companies offering broadband and ultra-broadband services. The overall broadband connections in the country increased from about 62.4% in 2011 to about 93.5% by the end of 2021. The pandemic influenced the restructuring of the services, creating significant demand to utilize the infrastructure for broadband services in Italy. This was also evident in the increase in data traffic by about 150%, from 17,700 to more than 44,200 PB from 2017 to 2021, which further highlights the future growth prospects.
- Fiber connectivity in the region increased from 1.3% in 2011 to 64.4% in 2018, including FTTH and FTTC services. The data from AGCOM highlighted the monthly data consumption per broadband line from 96.6 GB in 2017 to about 210 GB in 2019. Broadband access through residential and business ultra-broadband services by the end of 2021 reached 18.7 million units, accounting for about 31.7 lines for every 100 inhabitants.
- The investments in the country's FTTH broadband services would shape the market during the forecast period. With the significant investments in the past, the infrastructure was greatly benefitted, which would be carried forward by the operators accordingly. In April 2022, prominent players like Telecom Italia's FiberCop and TLC Telecomunicazioni signed an agreement to develop FTTH access jointly. The deep penetration of broadband services availed by the Italian population may help data center facilities to deliver data faster and leverage the network to interact with internet exchanges and telecommunication operators, as required.
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OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT
- Surge in 5G smartphones is boosting the market growth
- Increase in fiber deployment and significant number of internet exchanges is driving the market demand
- Increase in network infrastructure in rural and urban area of the region drives the market demand
Italy Data Center Industry Overview
The Italy Data Center Market is fairly consolidated, with the top five companies occupying 68.57%. The major players in this market are Aruba SpA, Data4, Equinix, Inc., Irideos SpA and Vantage Data Centers LLC (sorted alphabetically).
Italy Data Center Market Leaders
Aruba SpA
Data4
Equinix, Inc.
Irideos SpA
Vantage Data Centers LLC
Other important companies include AtlasEdge Data Centres, CDLAN SpA, IT.Gate S.p.A., ITnet S.r.l, MIX SRL, Seeweb Srl, Stack Infrastructure, Inc..
*Disclaimer: Major Players sorted in alphabetical order.
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Italy Data Center Market News
- December 2022: Aruba launched 2 new data centers at its Bergamo campus in Lombardy. The company reported its IT3 technology campus in Ponte San Pietro outside Milan to also home two further ‘future-proof’ data centers. The company mentioned investing EUR 500 million (USD 521.9 million) in the new facilities.
- July 2022: Stack Infrastructure launched its third data center facility in Italy. The company announced opening its third data center in Siziano; the new MIL02 facility spanned around 9,000 sq m (97,000 sq ft) with a power of 10MW.
- July 2022: Aruba was building a 30MW data center campus in Rome, due to be completed in the first quarter of 2023. The company reported its IT4 hyper cloud data center to sit in a 74,000 sq m site in the East of Rome and comprise five data centers of 6MW each.
Free with this Report
We provide a complimentary and exhaustive set of data points on the country and regional level metrics that present the fundamental structure of the industry. Presented in the form of 50+ free charts, the sections cover difficult to find data on various countries on smartphone users, data traffic per smartphone, mobile and broadband data speed, fiber connectivity network, and submarine cables.
Italy Data Center Market Report - Table of Contents
1. EXECUTIVE SUMMARY & KEY FINDINGS
2. REPORT OFFERS
3. INTRODUCTION
- 3.1 Study Assumptions & Market Definition
- 3.2 Scope of the Study
- 3.3 Research Methodology
4. MARKET OUTLOOK
- 4.1 It Load Capacity
- 4.2 Raised Floor Space
- 4.3 Colocation Revenue
- 4.4 Installed Racks
- 4.5 Rack Space Utilization
- 4.6 Submarine Cable
5. Key Industry Trends
- 5.1 Smartphone Users
- 5.2 Data Traffic Per Smartphone
- 5.3 Mobile Data Speed
- 5.4 Broadband Data Speed
- 5.5 Fiber Connectivity Network
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5.6 Regulatory Framework
- 5.6.1 Italy
- 5.7 Value Chain & Distribution Channel Analysis
6. MARKET SEGMENTATION (INCLUDES MARKET SIZE IN VOLUME, FORECASTS UP TO 2029 AND ANALYSIS OF GROWTH PROSPECTS)
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6.1 Hotspot
- 6.1.1 Greater Milan
- 6.1.2 Rest of Italy
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6.2 Data Center Size
- 6.2.1 Large
- 6.2.2 Massive
- 6.2.3 Medium
- 6.2.4 Mega
- 6.2.5 Small
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6.3 Tier Type
- 6.3.1 Tier 1 and 2
- 6.3.2 Tier 3
- 6.3.3 Tier 4
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6.4 Absorption
- 6.4.1 Non-Utilized
- 6.4.2 Utilized
- 6.4.2.1 By Colocation Type
- 6.4.2.1.1 Hyperscale
- 6.4.2.1.2 Retail
- 6.4.2.1.3 Wholesale
- 6.4.2.2 By End User
- 6.4.2.2.1 BFSI
- 6.4.2.2.2 Cloud
- 6.4.2.2.3 E-Commerce
- 6.4.2.2.4 Government
- 6.4.2.2.5 Manufacturing
- 6.4.2.2.6 Media & Entertainment
- 6.4.2.2.7 Telecom
- 6.4.2.2.8 Other End User
7. COMPETITIVE LANDSCAPE
- 7.1 Market Share Analysis
- 7.2 Company Landscape
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7.3 Company Profiles (includes Global Level Overview, Market Level Overview, Core Business Segments, Financials, Headcount, Key Information, Market Rank, Market Share, Products and Services, and Analysis of Recent Developments).
- 7.3.1 Aruba SpA
- 7.3.2 AtlasEdge Data Centres
- 7.3.3 CDLAN SpA
- 7.3.4 Data4
- 7.3.5 Equinix, Inc.
- 7.3.6 Irideos SpA
- 7.3.7 IT.Gate S.p.A.
- 7.3.8 ITnet S.r.l
- 7.3.9 MIX SRL
- 7.3.10 Seeweb Srl
- 7.3.11 Stack Infrastructure, Inc.
- 7.3.12 Vantage Data Centers LLC
- 7.4 LIST OF COMPANIES STUDIED
8. KEY STRATEGIC QUESTIONS FOR DATA CENTER CEOS
9. APPENDIX
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9.1 Global Overview
- 9.1.1 Overview
- 9.1.2 Porter’s Five Forces Framework
- 9.1.3 Global Value Chain Analysis
- 9.1.4 Global Market Size and DROs
- 9.2 Sources & References
- 9.3 List of Tables & Figures
- 9.4 Primary Insights
- 9.5 Data Pack
- 9.6 Glossary of Terms
List of Tables & Figures
- Figure 1:
- VOLUME OF IT LOAD CAPACITY, MW, ITALY, 2017 - 2029
- Figure 2:
- VOLUME OF RAISED FLOOR AREA, SQ.FT. ('000), ITALY, 2017 - 2029
- Figure 3:
- VALUE OF COLOCATION REVENUE, USD MILLION, ITALY, 2017 - 2029
- Figure 4:
- VOLUME OF INSTALLED RACKS, NUMBER, ITALY, 2017 - 2029
- Figure 5:
- RACK SPACE UTILIZATION, %, ITALY, 2017 - 2029
- Figure 6:
- COUNT OF SMARTPHONE USERS, IN MILLION, ITALY, 2017 - 2029
- Figure 7:
- DATA TRAFFIC PER SMARTPHONE, GB, ITALY, 2017 - 2029
- Figure 8:
- AVERAGE MOBILE DATA SPEED, MBPS, ITALY, 2017 - 2029
- Figure 9:
- AVERAGE BROADBAND SPEED, MBPS, ITALY, 2017 - 2029
- Figure 10:
- LENGTH OF FIBER CONNECTIVITY NETWORK, KILOMETER, ITALY, 2017 - 2029
- Figure 11:
- VOLUME OF IT LOAD CAPACITY, MW, ITALY, 2017 - 2029
- Figure 12:
- VOLUME OF HOTSPOT, MW, ITALY, 2017 - 2029
- Figure 13:
- VOLUME SHARE OF HOTSPOT, %, ITALY, 2017 - 2029
- Figure 14:
- VOLUME SIZE OF GREATER MILAN, MW, ITALY, 2017 - 2029
- Figure 15:
- VOLUME SHARE OF GREATER MILAN, MW, HOTSPOT, %, ITALY, 2017 - 2029
- Figure 16:
- VOLUME SIZE OF REST OF ITALY, MW, ITALY, 2017 - 2029
- Figure 17:
- VOLUME SHARE OF REST OF ITALY, MW, HOTSPOT, %, ITALY, 2017 - 2029
- Figure 18:
- VOLUME OF DATA CENTER SIZE, MW, ITALY, 2017 - 2029
- Figure 19:
- VOLUME SHARE OF DATA CENTER SIZE, %, ITALY, 2017 - 2029
- Figure 20:
- VOLUME SIZE OF LARGE, MW, ITALY, 2017 - 2029
- Figure 21:
- VOLUME SIZE OF MASSIVE, MW, ITALY, 2017 - 2029
- Figure 22:
- VOLUME SIZE OF MEDIUM, MW, ITALY, 2017 - 2029
- Figure 23:
- VOLUME SIZE OF MEGA, MW, ITALY, 2017 - 2029
- Figure 24:
- VOLUME SIZE OF SMALL, MW, ITALY, 2017 - 2029
- Figure 25:
- VOLUME OF TIER TYPE, MW, ITALY, 2017 - 2029
- Figure 26:
- VOLUME SHARE OF TIER TYPE, %, ITALY, 2017 - 2029
- Figure 27:
- VOLUME SIZE OF TIER 1 AND 2, MW, ITALY, 2017 - 2029
- Figure 28:
- VOLUME SIZE OF TIER 3, MW, ITALY, 2017 - 2029
- Figure 29:
- VOLUME SIZE OF TIER 4, MW, ITALY, 2017 - 2029
- Figure 30:
- VOLUME OF ABSORPTION, MW, ITALY, 2017 - 2029
- Figure 31:
- VOLUME SHARE OF ABSORPTION, %, ITALY, 2017 - 2029
- Figure 32:
- VOLUME SIZE OF NON-UTILIZED, MW, ITALY, 2017 - 2029
- Figure 33:
- VOLUME OF COLOCATION TYPE, MW, ITALY, 2017 - 2029
- Figure 34:
- VOLUME SHARE OF COLOCATION TYPE, %, ITALY, 2017 - 2029
- Figure 35:
- VOLUME SIZE OF HYPERSCALE, MW, ITALY, 2017 - 2029
- Figure 36:
- VOLUME SIZE OF RETAIL, MW, ITALY, 2017 - 2029
- Figure 37:
- VOLUME SIZE OF WHOLESALE, MW, ITALY, 2017 - 2029
- Figure 38:
- VOLUME OF END USER, MW, ITALY, 2017 - 2029
- Figure 39:
- VOLUME SHARE OF END USER, %, ITALY, 2017 - 2029
- Figure 40:
- VOLUME SIZE OF BFSI, MW, ITALY, 2017 - 2029
- Figure 41:
- VOLUME SIZE OF CLOUD, MW, ITALY, 2017 - 2029
- Figure 42:
- VOLUME SIZE OF E-COMMERCE, MW, ITALY, 2017 - 2029
- Figure 43:
- VOLUME SIZE OF GOVERNMENT, MW, ITALY, 2017 - 2029
- Figure 44:
- VOLUME SIZE OF MANUFACTURING, MW, ITALY, 2017 - 2029
- Figure 45:
- VOLUME SIZE OF MEDIA & ENTERTAINMENT, MW, ITALY, 2017 - 2029
- Figure 46:
- VOLUME SIZE OF TELECOM, MW, ITALY, 2017 - 2029
- Figure 47:
- VOLUME SIZE OF OTHER END USER, MW, ITALY, 2017 - 2029
- Figure 48:
- VOLUME SHARE OF MAJOR PLAYERS, %, ITALY, 2022
Italy Data Center Industry Segmentation
Greater Milan are covered as segments by Hotspot. Large, Massive, Medium, Mega, Small are covered as segments by Data Center Size. Tier 1 and 2, Tier 3, Tier 4 are covered as segments by Tier Type. Non-Utilized, Utilized are covered as segments by Absorption.
- The initial data centers were built in accordance with the minimal demand. Hence the data structure facilities created were small. These facilities were mainly Tier 1 & 2 certified due to their minimal requirements, and they had minimum racks installed. These data centers are expected to hold 3% of the market share, which is expected to decrease to 1% by 2029, with the segment accounting for an IT load capacity of 14.1 MW.
- Tier 4 data centers lead the market in terms of capacity. Tier 4 data center capacity is expected to increase from 227.6 MW in 2023 to 918.2 MW in 2029 at a CAGR of 26.2%. The increasing demand for smartphone applications to view streaming content, play online games, and shop online by Italian users has led data center companies to increase the number of racks in their facilities.
- Tier 3 facilities are expected to witness the second-highest growth of 15.8% during the forecast period, while the segment's IT load capacity is expected to grow from 163.06 MW in 2023 to 394.08 MW by 2029. It is also expected to hold a market share of 40.5% in 2023, which is expected to decrease to 29.7% by 2029, owing to the increasing development and infrastructural advancements of facilities to procure Tier 4 certification from the Uptime Institute.
- As more cities adopt smart systems and evolve into smart cities, the demand for huge facilities to process data is expected to grow proportionally. The number of subscribers to VOD in Italy increased by five times, from 3.3 million in 2017 to 15 million in 2021. Thus, BFSI, media and entertainment, and manufacturing are end-user segments expected to boost the growth of Tier 4 and Tier 3 facilities in line with huge data generation.
| Hotspot | Greater Milan | ||
| Rest of Italy | |||
| Data Center Size | Large | ||
| Massive | |||
| Medium | |||
| Mega | |||
| Small | |||
| Tier Type | Tier 1 and 2 | ||
| Tier 3 | |||
| Tier 4 | |||
| Absorption | Non-Utilized | ||
| Utilized | By Colocation Type | Hyperscale | |
| Retail | |||
| Wholesale | |||
| Utilized | By End User | BFSI | |
| Cloud | |||
| E-Commerce | |||
| Government | |||
| Manufacturing | |||
| Media & Entertainment | |||
| Telecom | |||
| Other End User |
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Market Definition
- IT LOAD CAPACITY - The IT load capacity or installed capacity, refers to the amount of energy consumed by servers and network equipments placed in a rack installed. It is measured in megawatt (MW).
- ABSORPTION RATE - It denotes the extend to which the data center capacity has been leased out. For instance, a 100 MW DC has leased out 75 MW, then absorption rate would be 75%. It is also referred as utilization rate and leased-out capacity.
- RAISED FLOOR SPACE - It is an elevated space build over the floor. This gap between the original floor and the elevated floor is used to accommodate wiring, cooling, and other data center equipment. This arrangement assist in having proper wiring and cooling infrastructure. It is measured in square feet (ft^2).
- DATA CENTER SIZE - Data Center Size is segmented based on the raised floor space allocated to the data center facilities. Mega DC - # of Racks must be more than 9000 or RFS (raised floor space) must be more than 225001 Sq. ft; Massive DC - # of Racks must be in between 9000 and 3001 or RFS must be in between 225000 Sq. ft and 75001 Sq. ft; Large DC - # of Racks must be in between 3000 and 801 or RFS must be in between 75000 Sq. ft and 20001 Sq. ft; Medium DC # of Racks must be in between 800 and 201 or RFS must be in between 20000 Sq. ft and 5001 Sq. ft; Small DC - # of Racks must be less than 200 or RFS must be less than 5000 Sq. ft.
- TIER TYPE - According to Uptime Institute the data centers are classified into four tiers based on the proficiencies of redundant equipment of the data center infrastructure. In this segment the data center are segmented as Tier 1,Tier 2, Tier 3 and Tier 4.
- COLOCATION TYPE - The segment is segregated into 3 categories namely Retail, Wholesale and Hyperscale Colocation service. The categorization is done based on the amount of IT load leased out to potential customers. Retail colocation service has leased capacity less than 250 kW; Wholesale colocation services has leased capacity between 251 kW and 4 MW and Hyperscale colocation services has leased capacity more than 4 MW.
- END CONSUMERS - The Data Center Market operates on a B2B basis. BFSI, Government, Cloud Operators, Media and Entertainment, E-Commerce, Telecom and Manufacturing are the major end-consumers in the market studied. The scope only includes colocation service operators catering to the increasing digitalization of the end-user industries.
| Keyword | Definition |
|---|---|
| Rack Unit | Generally referred as U or RU, it is the unit of measurement for the server unit housed in the racks in the data center. 1U is equal to 1.75 inches. |
| Rack Density | It defines the amount of power consumed by the equipment and server housed in a rack. It is measured in kilowatt (kW). This factor plays a critical role in data center design and, cooling and power planning. |
| IT Load Capacity | The IT load capacity or installed capacity, refers to the amount of energy consumed by servers and network equipment placed in a rack installed. It is measured in megawatt (MW). |
| Absorption Rate | It denotes how much of the data center capacity has been leased out. For instance, if a 100 MW DC has leased out 75 MW, then the absorption rate would be 75%. It is also referred to as utilization rate and leased-out capacity. |
| Raised Floor Space | It is an elevated space built over the floor. This gap between the original floor and the elevated floor is used to accommodate wiring, cooling, and other data center equipment. This arrangement assists in having proper wiring and cooling infrastructure. It is measured in square feet/meter. |
| Computer Room Air Conditioner (CRAC) | It is a device used to monitor and maintain the temperature, air circulation, and humidity inside the server room in the data center. |
| Aisle | It is the open space between the rows of racks. This open space is critical for maintaining the optimal temperature (20-25 °C) in the server room. There are primarily two aisles inside the server room, a hot aisle and a cold aisle. |
| Cold Aisle | It is the aisle wherein the front of the rack faces the aisle. Here, chilled air is directed into the aisle so that it can enter the front of the racks and maintain the temperature. |
| Hot Aisle | It is the aisle where the back of the racks faces the aisle. Here, the heat dissipated from the equipment’s in the rack is directed to the outlet vent of the CRAC. |
| Critical Load | It includes the servers and other computer equipment whose uptime is critical for data center operation. |
| Power Usage Effectiveness (PUE) | It is a metric which defines the efficiency of a data center. It is calculated by: (𝑇𝑜𝑡𝑎𝑙 𝐷𝑎𝑡𝑎 𝐶𝑒𝑛𝑡𝑒𝑟 𝐸𝑛𝑒𝑟𝑔𝑦 𝐶𝑜𝑛𝑠𝑢𝑚𝑝𝑡𝑖𝑜𝑛)/(𝑇𝑜𝑡𝑎𝑙 𝐼𝑇 𝐸𝑞𝑢𝑖𝑝𝑚𝑒𝑛𝑡 𝐸𝑛𝑒𝑟𝑔𝑦 𝐶𝑜𝑛𝑠𝑢𝑚𝑝𝑡𝑖𝑜𝑛). Further, a data center with a PUE of 1.2-1.5 is considered highly efficient, whereas, a data center with a PUE >2 is considered highly inefficient. |
| Redundancy | It is defined as a system design wherein additional component (UPS, generators, CRAC) is added so that in case of power outage, equipment failure, the IT equipment should not be affected. |
| Uninterruptible Power Supply (UPS) | It is a device that is connected in series with the utility power supply, storing energy in batteries such that the supply from UPS is continuous to IT equipment even during utility power is snapped. The UPS primarily supports the IT equipment only. |
| Generators | Just like UPS, generators are placed in the data center to ensure an uninterrupted power supply, avoiding downtime. Data center facilities have diesel generators and commonly, 48-hour diesel is stored in the facility to prevent disruption. |
| N | It denotes the tools and equipment required for a data center to function at full load. Only "N" indicates that there is no backup to the equipment in the event of any failure. |
| N+1 | Referred to as 'Need plus one', it denotes the additional equipment setup available to avoid downtime in case of failure. A data center is considered N+1 when there is one additional unit for every 4 components. For instance, if a data center has 4 UPS systems, then for to achieve N+1, an additional UPS system would be required. |
| 2N | It refers to fully redundant design wherein two independent power distribution system is deployed. Therefore, in the event of a complete failure of one distribution system, the other system will still supply power to the data center. |
| In-Row Cooling | It is the cooling design system installed between racks in a row where it draws warm air from the hot aisle and supplies cool air to the cold aisle, thereby maintaining the temperature. |
| Tier 1 | Tier classification determines the preparedness of a data center facility to sustain data center operation. A data center is classified as Tier 1 data center when it has a non-redundant (N) power component (UPS, generators), cooling components, and power distribution system (from utility power grids). The Tier 1 data center has an uptime of 99.67% and an annual downtime of <28.8 hours. |
| Tier 2 | A data center is classified as Tier 2 data center when it has a redundant power and cooling components (N+1) and a single non-redundant distribution system. Redundant components include extra generators, UPS, chillers, heat rejection equipment, and fuel tanks. The Tier 2 data center has an uptime of 99.74% and an annual downtime of <22 hours. |
| Tier 3 | A data center having redundant power and cooling components and multiple power distribution systems is referred to as a Tier 3 data center. The facility is resistant to planned (facility maintenance) and unplanned (power outage, cooling failure) disruption. The Tier 3 data center has an uptime of 99.98% and an annual downtime of <1.6 hours. |
| Tier 4 | It is the most tolerant type of data center. A Tier 4 data center has multiple, independent redundant power and cooling components and multiple power distribution paths. All IT equipment are dual powered, making them fault tolerant in case of any disruption, thereby ensuring interrupted operation. The Tier 4 data center has an uptime of 99.74% and an annual downtime of <26.3 minutes. |
| Small Data Center | Data center that has floor space area of ≤ 5,000 Sq. ft or the number of racks that can be installed is ≤ 200 is classified as a small data center. |
| Medium Data Center | Data center which has floor space area between 5,001-20,000 Sq. ft, or the number of racks that can be installed is between 201-800, is classified as a medium data center. |
| Large Data Center | Data center which has floor space area between 20,001-75,000 Sq. ft, or the number of racks that can be installed is between 801-3,000, is classified as a large data center. |
| Massive Data Center | Data center which has floor space area between 75,001-225,000 Sq. ft, or the number of racks that can be installed is between 3001-9,000, is classified as a massive data center. |
| Mega Data Center | Data center that has a floor space area of ≥ 225,001 Sq. ft or the number of racks that can be installed is ≥ 9001 is classified as a mega data center. |
| Retail Colocation | It refers to those customers who have a capacity requirement of 250 kW or less. These services are majorly opted by small and medium enterprises (SMEs). |
| Wholesale Colocation | It refers to those customers who have a capacity requirement between 250 kW to 4 MW. These services are majorly opted by medium to large enterprises. |
| Hyperscale Colocation | It refers to those customers who have a capacity requirement greater than 4 MW. The hyperscale demand primarily originates from large-scale cloud players, IT companies, BFSI, and OTT players (like Netflix, Hulu, and HBO+). |
| Mobile Data Speed | It is the mobile internet speed a user experiences via their smartphones. This speed is primarily dependent on the carrier technology being used in the smartphone. The carrier technologies available in the market are 2G, 3G, 4G, and 5G, where 2G provides the slowest speed while 5G is the fastest. |
| Fiber Connectivity Network | It is a network of optical fiber cables deployed across the country, connecting rural and urban regions with high-speed internet connection. It is measured in kilometer (km). |
| Data Traffic per Smartphone | It is a measure of average data consumption by a smartphone user in a month. It is measured in gigabyte (GB). |
| Broadband Data Speed | It is the internet speed that is supplied over the fixed cable connection. Commonly, copper cable and optic fiber cable are used in both residential and commercial use. Here, optic cable fiber provides faster internet speed than copper cable. |
| Submarine Cable | A submarine cable is a fiber optic cable laid down at two or more landing points. Through this cable, communication and internet connectivity between countries across the globe is established. These cables can transmit 100-200 terabits per second (Tbps) from one point to another. |
| Carbon Footprint | It is the measure of carbon dioxide generated during the regular operation of a data center. Since, coal, and oil & gas are the primary source of power generation, consumption of this power contributes to carbon emissions. Data center operators are incorporating renewable energy sources to curb the carbon footprint emerging in their facilities. |
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Research Methodology
Mordor Intelligence follows a four-step methodology in all our reports.
- Step-1: Identify Key Variables: In order to build a robust forecasting methodology, the variables and factors identified in Step-1 are tested against available historical market numbers. Through an iterative process, the variables required for market forecast are set and the model is built on the basis of these variables.
- Step-2: Build a Market Model: Market-size estimations for the forecast years are in nominal terms. Inflation is not a part of the pricing, and the average selling price (ASP) is kept constant throughout the forecast period for each country.
- Step-3: Validate and Finalize: In this important step, all market numbers, variables and analyst calls are validated through an extensive network of primary research experts from the market studied. The respondents are selected across levels and functions to generate a holistic picture of the market studied.
- Step-4: Research Outputs: Syndicated Reports, Custom Consulting Assignments, Databases & Subscription Platforms
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