Switzerland Data Center Market Size
|
Study Period | 2017 - 2029 |
|
Market Volume (2024) | 534.8 MW |
|
|
Market Volume (2029) | 676.2 MW |
|
Largest Share by Tier Type | Tier 3 |
|
|
CAGR (2024 - 2029) | 4.80 % |
|
|
Fastest Growing by Tier Type | Tier 4 |
Major Players |
||
|
||
|
*Disclaimer: Major Players sorted in no particular order |
Switzerland Data Center Market Analysis
The Switzerland Data Center Market size is estimated at 534.8 MW in 2024, and is expected to reach 676.2 MW by 2029, growing at a CAGR of 4.80%. Further, the market is expected to generate colocation revenue of USD 1,701.2 Million in 2024 and is projected to reach USD 2,361.1 Million by 2029, growing at a CAGR of 6.77% during the forecast period (2024-2029).
USD 1,701.22 Million
Market Size in 2024
USD 2,361.03 Million
Market Size in 2029
9.1%
CAGR (2017-2023)
6.77%
CAGR (2024-2029)
IT Load Capacity
534.8 MW
Value, IT Load Capacity, 2024
The growing average data volume due to rising OTT subscription numbers for smartphones and mobile gaming is further driving the demand for data processing and storage facilities for the live streaming of games and video content.
Total Raised Floor Space
Sq. Ft. 2.05 M
Volume, Raised Floor Space, 2024
The total raised floor area of the country has been driven by growing cloud use across companies because of their increasing integration of emerging technologies like artificial intelligence, big data, and blockchain.
Installed Racks
102,848
Volume, Installed Racks, 2024
Zurich is expected to house the maximum number of racks by 2029. Interxion (Digital Realty Trust Inc.) focuses on establishing a new facility, ZUR3, with an IT load capacity of 17.6 MW in two phases.
# of DC Operators & DC Facilities
41 and 81
Volume, DC Facilities, 2024
Zurich holds the major share in the country. Majorly, factors that contribute to the growth of the data center in the country include cloud adoption, an increase in broadband connectivity, and smartphone penetration.
Leading Market Player
20.8%
Market Share, STACK Infrastructure Inc., Inc.
STACK Infrastructure Inc. was the leading player in the Swiss market, with five facilities and 102 MW in operation. It is expected to roll out one DC facility with a capacity of more than 1 MW during the forecast period.
Tier 3 data center accounted for majority share in terms of volume in 2023, and is expected to dominate through out the forecasted period
- The Tier 3 segment of the market had the largest market share of 81.5%, with an IT load capacity of 371 MW in 2022. It is further projected to exhibit a CAGR of 1.9%, surpassing 435.49 MW by 2029. On the other hand, tier 4 data centers are expected to gain traction with a projected CAGR of 15.49% to reach a capacity of 226 MW by 2029.
- Tier 1&2 segments already have an adequate supply of retail colocation and large-scale builds to cater to the increasing hyperscale cloud requirements, which are driving the demand as the need for lower latency and more efficiency is growing.
- Facilities in Tier 1 and Tier 2 data centers gradually lose their demand and display a decrease in growth in the upcoming years. Tier 1&2 facilities are expected to hold a market share of nearly 1.6% by 2029 with minimal growth. This is a result of the prolonged and inconsistent outages. Most users eventually switch to Tier 3 and Tier 4 facilities, holding 62.4% and 36% of market shares, respectively, owing to the increased demand for storing, processing, and analyzing data.
- The fintech sector of the economy is expanding. In 2018, SIX, which is the main infrastructure provider for the Swiss financial market, plans cloud for banking in Switzerland.
- Tier 4 data centers are expected to expand significantly in the years to come due to the fact that more businesses are providing cloud-based services, which caused more businesses to construct facilities to provide colocation space with the best technology. For instance, cloud expenditure in Switzerland was already CHF 4.93 billion in 2021, and only 5% of companies adopted cloud services by 2022.
Understand The Key Trends Shaping This Market
Download PDF
Switzerland Data Center Market Trends
Increasing consumption of data in social media usage, video-on-demand and online gaming drives the demand for market
- The total data traffic per smartphone in the country is expected to witness a CAGR of 9.6% during the forecast period to reach a value of 44.5 GB by 2029. The consumption of data by multiple end users motivates this trend. For instance, as of 2021, in Switzerland, time spent on the internet was 3.6 hours per day by young people, and the average time spent on smartphones was 2 hours and 29 minutes per day. Considering the above factors, such as an increase in data consumption, time spent on smartphones, and growth of digitalization across all end users, leads to the rise of data traffic per smartphone.
- The growing average data volume due to rising OTT subscription numbers for smartphones and mobile gaming is further driving the demand for data processing and storage facilities for the live streaming of games and video content. In 2020, 42% of Swiss consumers accessed pay-per-view video-on-demand services like Netflix, Swisscom TV, and Amazon Prime. This represented an increase of 33% over the prior year, 2019.
- The mobile games business has tremendous growth potential in the coming year, despite already being the largest video game segment. The mobile gaming phenomenon Pokémon Go, games like Harry Potter: Wizards Unite, and Nintendo's expanding support for mobile games are key growth drivers for the industry. Additionally, the expansion of the market is greatly influenced by the mobile versions of the well-known online games Fortnite and PUBG. Thus, the needs of the end users are changing, and the demand for more data storage contributes to the growth of the data center market in Switzerland.
Understand The Key Trends Shaping This Market
Download PDF
Rising smartphone ownership and increase in number of app downloads boost the market growth
- The total number of smartphone users in the country is expected to witness a CAGR of 1.6% during the forecast period to reach a value of 9 million by 2029. Digital usage is expanding rapidly in Switzerland. Consumer behavior has been impacted by the quick adoption of the internet and smartphone technology in various businesses. For instance, purchasing power parity (PPP) increased from USD 68.8 thousand in 2016 to USD 71 thousand in 2021. As a result, more people can purchase smartphones, which results in a growing number of smartphone users.
- The internet penetration of the country increased from 89% in 2016 to 96% in 2021, while at the same time, the number of smartphone users increased from 6.9 million in 2016 to 7.9 million in 2021. Owing to such extensive use, digital payment services were promoted, and their application increased due to the COVID-19 pandemic.
- Due to its high GDP and location between France, Italy, and Germany, Switzerland has a significant market for luxury goods and a high demand for cross-border e-commerce. Cash is still common, while cards are frequently used in Switzerland. Invoices are famous for e-commerce payments, while TWINT is a new and increasingly popular local payment method with 3 million users. Used for both e-commerce and at the point of sale, TWINT combines mobile payments with QR technology, which is predicted to have a long-term impact on the market. The rising use of smartphones in the Swiss market results in a constant increase in data, necessitating an increase in storage space and data centers must manage the sheer amount of data. Thus, the requirement for racks in Swiss data centers may increase as the number of smartphone users rises.
Understand The Key Trends Shaping This Market
Download PDF
OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT
- Increasing network investments to expand 5G network by provider such as Ericsson and increase in online service is boosting the market demand
- Increasing fiber cable network across country with increasing investments by provider such as Lumen Technologies leads to the growth in the market
- Surge in the usage of FTTx and FTTTH in household and enterprises is boosting the market demand
Switzerland Data Center Industry Overview
The Switzerland Data Center Market is fragmented, with the top five companies occupying 32.49%. The major players in this market are Equinix Inc., EXA Infrastructure, Green Datacenter, Interxion (Digital Reality Trust Inc.) and NTT Ltd (sorted alphabetically).
Switzerland Data Center Market Leaders
Equinix Inc.
EXA Infrastructure
Green Datacenter
Interxion (Digital Reality Trust Inc.)
NTT Ltd
Other important companies include DATAWIRE AG, ewl Energie Wasser Luzern Holding AG, NorthC Datacenters III BV, NTS Workspace AG, Stack Infrastructure Inc., Vantage Data Centers LLC, Zugernet (Acdalis AG).
*Disclaimer: Major Players sorted in alphabetical order.
Need More Details on Market Players and Competitors?
Download PDF
Switzerland Data Center Market News
- January 2023: A new data center facility has opened in Zurich's Dielsdorf neighborhood owing to Swiss data center operator Green. On a 46,000 sqm (495,150 sq ft) site, the Zurich Metro campus will eventually consist of three buildings (M, N, and O).
- September 2022: In Switzerland's Zurich, Equinix has expanded the size of one of its data centers. An extra 850 square meters (9,150 square feet) of whitespace and more than 200 cabinets have been added to the colocation giant's ZH4 IBX.
- June 2022: The second data center in Zurich will be erected in the Beringen industrial district, on the site of a former tennis club, according to STACK Infrastructure ("STACK"), the digital infrastructure partner of the enterprises and a global developer and operator of data centers.
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.
Switzerland 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
-
5.6 Regulatory Framework
- 5.6.1 Switzerland
- 5.7 Value Chain & Distribution Channel Analysis
6. MARKET SEGMENTATION (INCLUDES MARKET SIZE IN VOLUME, FORECASTS UP TO 2029 AND ANALYSIS OF GROWTH PROSPECTS)
-
6.1 Hotspot
- 6.1.1 Zurich
- 6.1.2 Rest of Switzerland
-
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
-
6.3 Tier Type
- 6.3.1 Tier 1 and 2
- 6.3.2 Tier 3
- 6.3.3 Tier 4
-
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
-
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 DATAWIRE AG
- 7.3.2 Equinix Inc.
- 7.3.3 ewl Energie Wasser Luzern Holding AG
- 7.3.4 EXA Infrastructure
- 7.3.5 Green Datacenter
- 7.3.6 Interxion (Digital Reality Trust Inc.)
- 7.3.7 NorthC Datacenters III BV
- 7.3.8 NTS Workspace AG
- 7.3.9 NTT Ltd
- 7.3.10 Stack Infrastructure Inc.
- 7.3.11 Vantage Data Centers LLC
- 7.3.12 Zugernet (Acdalis AG)
- 7.4 LIST OF COMPANIES STUDIED
8. KEY STRATEGIC QUESTIONS FOR DATA CENTER CEOS
9. APPENDIX
-
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, SWITZERLAND, 2017 - 2029
- Figure 2:
- VOLUME OF RAISED FLOOR AREA, SQ.FT. ('000), SWITZERLAND, 2017 - 2029
- Figure 3:
- VALUE OF COLOCATION REVENUE, USD MILLION, SWITZERLAND, 2017 - 2029
- Figure 4:
- VOLUME OF INSTALLED RACKS, NUMBER, SWITZERLAND, 2017 - 2029
- Figure 5:
- RACK SPACE UTILIZATION, %, SWITZERLAND, 2017 - 2029
- Figure 6:
- COUNT OF SMARTPHONE USERS, IN MILLION, SWITZERLAND, 2017 - 2029
- Figure 7:
- DATA TRAFFIC PER SMARTPHONE, GB, SWITZERLAND, 2017 - 2029
- Figure 8:
- AVERAGE MOBILE DATA SPEED, MBPS, SWITZERLAND, 2017 - 2029
- Figure 9:
- AVERAGE BROADBAND SPEED, MBPS, SWITZERLAND, 2017 - 2029
- Figure 10:
- LENGTH OF FIBER CONNECTIVITY NETWORK, KILOMETER, SWITZERLAND, 2017 - 2029
- Figure 11:
- VOLUME OF IT LOAD CAPACITY, MW, SWITZERLAND, 2017 - 2029
- Figure 12:
- VOLUME OF HOTSPOT, MW, SWITZERLAND, 2017 - 2029
- Figure 13:
- VOLUME SHARE OF HOTSPOT, %, SWITZERLAND, 2017 - 2029
- Figure 14:
- VOLUME SIZE OF ZURICH, MW, SWITZERLAND, 2017 - 2029
- Figure 15:
- VOLUME SHARE OF ZURICH, MW, HOTSPOT, %, SWITZERLAND, 2017 - 2029
- Figure 16:
- VOLUME SIZE OF REST OF SWITZERLAND, MW, SWITZERLAND, 2017 - 2029
- Figure 17:
- VOLUME SHARE OF REST OF SWITZERLAND, MW, HOTSPOT, %, SWITZERLAND, 2017 - 2029
- Figure 18:
- VOLUME OF DATA CENTER SIZE, MW, SWITZERLAND, 2017 - 2029
- Figure 19:
- VOLUME SHARE OF DATA CENTER SIZE, %, SWITZERLAND, 2017 - 2029
- Figure 20:
- VOLUME SIZE OF LARGE, MW, SWITZERLAND, 2017 - 2029
- Figure 21:
- VOLUME SIZE OF MASSIVE, MW, SWITZERLAND, 2017 - 2029
- Figure 22:
- VOLUME SIZE OF MEDIUM, MW, SWITZERLAND, 2017 - 2029
- Figure 23:
- VOLUME SIZE OF MEGA, MW, SWITZERLAND, 2017 - 2029
- Figure 24:
- VOLUME SIZE OF SMALL, MW, SWITZERLAND, 2017 - 2029
- Figure 25:
- VOLUME OF TIER TYPE, MW, SWITZERLAND, 2017 - 2029
- Figure 26:
- VOLUME SHARE OF TIER TYPE, %, SWITZERLAND, 2017 - 2029
- Figure 27:
- VOLUME SIZE OF TIER 1 AND 2, MW, SWITZERLAND, 2017 - 2029
- Figure 28:
- VOLUME SIZE OF TIER 3, MW, SWITZERLAND, 2017 - 2029
- Figure 29:
- VOLUME SIZE OF TIER 4, MW, SWITZERLAND, 2017 - 2029
- Figure 30:
- VOLUME OF ABSORPTION, MW, SWITZERLAND, 2017 - 2029
- Figure 31:
- VOLUME SHARE OF ABSORPTION, %, SWITZERLAND, 2017 - 2029
- Figure 32:
- VOLUME SIZE OF NON-UTILIZED, MW, SWITZERLAND, 2017 - 2029
- Figure 33:
- VOLUME OF COLOCATION TYPE, MW, SWITZERLAND, 2017 - 2029
- Figure 34:
- VOLUME SHARE OF COLOCATION TYPE, %, SWITZERLAND, 2017 - 2029
- Figure 35:
- VOLUME SIZE OF HYPERSCALE, MW, SWITZERLAND, 2017 - 2029
- Figure 36:
- VOLUME SIZE OF RETAIL, MW, SWITZERLAND, 2017 - 2029
- Figure 37:
- VOLUME SIZE OF WHOLESALE, MW, SWITZERLAND, 2017 - 2029
- Figure 38:
- VOLUME OF END USER, MW, SWITZERLAND, 2017 - 2029
- Figure 39:
- VOLUME SHARE OF END USER, %, SWITZERLAND, 2017 - 2029
- Figure 40:
- VOLUME SIZE OF BFSI, MW, SWITZERLAND, 2017 - 2029
- Figure 41:
- VOLUME SIZE OF CLOUD, MW, SWITZERLAND, 2017 - 2029
- Figure 42:
- VOLUME SIZE OF E-COMMERCE, MW, SWITZERLAND, 2017 - 2029
- Figure 43:
- VOLUME SIZE OF GOVERNMENT, MW, SWITZERLAND, 2017 - 2029
- Figure 44:
- VOLUME SIZE OF MANUFACTURING, MW, SWITZERLAND, 2017 - 2029
- Figure 45:
- VOLUME SIZE OF MEDIA & ENTERTAINMENT, MW, SWITZERLAND, 2017 - 2029
- Figure 46:
- VOLUME SIZE OF TELECOM, MW, SWITZERLAND, 2017 - 2029
- Figure 47:
- VOLUME SIZE OF OTHER END USER, MW, SWITZERLAND, 2017 - 2029
- Figure 48:
- VOLUME SHARE OF MAJOR PLAYERS, %, SWITZERLAND, 2022
Switzerland Data Center Industry Segmentation
Zurich 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 Tier 3 segment of the market had the largest market share of 81.5%, with an IT load capacity of 371 MW in 2022. It is further projected to exhibit a CAGR of 1.9%, surpassing 435.49 MW by 2029. On the other hand, tier 4 data centers are expected to gain traction with a projected CAGR of 15.49% to reach a capacity of 226 MW by 2029.
- Tier 1&2 segments already have an adequate supply of retail colocation and large-scale builds to cater to the increasing hyperscale cloud requirements, which are driving the demand as the need for lower latency and more efficiency is growing.
- Facilities in Tier 1 and Tier 2 data centers gradually lose their demand and display a decrease in growth in the upcoming years. Tier 1&2 facilities are expected to hold a market share of nearly 1.6% by 2029 with minimal growth. This is a result of the prolonged and inconsistent outages. Most users eventually switch to Tier 3 and Tier 4 facilities, holding 62.4% and 36% of market shares, respectively, owing to the increased demand for storing, processing, and analyzing data.
- The fintech sector of the economy is expanding. In 2018, SIX, which is the main infrastructure provider for the Swiss financial market, plans cloud for banking in Switzerland.
- Tier 4 data centers are expected to expand significantly in the years to come due to the fact that more businesses are providing cloud-based services, which caused more businesses to construct facilities to provide colocation space with the best technology. For instance, cloud expenditure in Switzerland was already CHF 4.93 billion in 2021, and only 5% of companies adopted cloud services by 2022.
| Hotspot | Zurich | ||
| Rest of Switzerland | |||
| 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 |
Need A Different Region Or Segment?
Customize Now
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. |
Need More Details on Market Definition?
Ask a Question
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
Get More Details On Research Methodology
Download PDF
80% of our clients seek made-to-order reports. How do you want us to tailor yours?
