Canada Data Center Market Size
| Icons | Lable | Value |
|---|---|---|
|
Study Period | 2017 - 2029 |
|
Market Volume (2024) | 0.75 Thousand MW |
|
|
Market Volume (2029) | 1.16 Thousand MW |
|
Largest Share by Tier Type | Tier 3 |
|
|
CAGR (2024 - 2029) | 8.97 % |
|
|
Fastest Growing by Tier Type | Tier 4 |
Major Players |
||
|
||
|
*Disclaimer: Major Players sorted in alphabetical order. |
Canada Data Center Market Analysis
The Canada Data Center Market size is estimated at 0.75 thousand MW in 2024, and is expected to reach 1.16 thousand MW by 2029, growing at a CAGR of 8.97% during the forecast period (2024-2029).
USD 3,470.32 Million
Market Size in 2024
USD 5,332.8 Million
Market Size in 2029
11.1%
CAGR (2017-2023)
9.0%
CAGR (2024-2029)
IT Load Capacity
754.6 MW
Value, IT Load Capacity, 2024
The IT load capacity of the data center market will have steady growth and is expected to reach 1,159.6 MW by 2029. Canada is investing in IoT, AI, and other technologies, resulting in more data generation thus creating market demand.
Total Raised Floor Space
Sq. Ft.3.77 M
Volume, Raised Floor Space, 2024
The total raised floor area of the country is expected to increase to 5.3 million sq. ft by 2029. Canadian government investment in expansion of fiber connectivity across the country would increase the demand for DC facilities.
Installed Racks
188,645
Volume, Installed Racks, 2024
The number of installed racks is expected to reach 289,890 units by 2029. Quebec is expected to house the maximum number of racks by 2029. The availability of renewable energy, cheap electricity, data laws would grow DC facilities.
# of DC Operators & DC Facilities
44 and 113
Volume, DC Facilities, 2024
Good connectivity, growing demand for IoT, and increasing government incentives for land and tax are some factors that have triggered the growth of data center facilities in Canada.
Leading Market Player
22.7%
Market Share, Vantage Data Centers LLC, LLC
Vantage Data Centers LLC led the market in 2023 with a share of 22.7% and an operational capacity of 158 MW, followed by companies such as Stack Infrastructure at 20.5% with an operating capacity of 129.9 MW.
Tier 3 data center accounted for majority share in terms of volume in 2023, Tier 4 is fastest growing segment
- Increased use of IoT platforms by varying sectors, such as manufacturing, agriculture, and cities, has contributed to the growing data consumption, which has triggered the demand for data centers in Canada.
- For instance, out of the 189,874 farms in Canada, autosteer equipment are currently used by 27%, GPS mapping by 13%, drone usage at 3.5%, and robotic milkers at 1.2%. Agriculture IoT may help farmers increase their profitability by providing real-time insights about the crops.
- Similarly, IoT platforms used in the manufacturing sector may help companies improvise supply chain processes and increase their profitability. As IoT platforms have started gaining traction, these huge amounts of generated data may require an increasing number of servers to process them faster.
- Since tier 4 data centers offer higher bandwidth speed, low latency, better connectivity, disaster recovery options and others, most companies opt for tier 4 data centers. These data centers help companies cater to their growing business requirements, optimize efficiency, and offer better services to the consumer. Tier 4 data centers are anticipated to record a CAGR of 22.68%, which is quite higher than the growth of tier 3 at 5.79% and tier 1&2 at 0.76%.
Understand The Key Trends Shaping This Market
Download PDF
Canada Data Center Market Trends
Increasing time on mobile apps and increasing 5G users to boost the market growth
- Data consumption through smartphones is expected to increase over the forecast period in Canada, recording a CAGR of about 8.6% from 2022 to 2029. A significant increase in data consumption was observed around 2020, contributed by remote working during the COVID-19 pandemic. Canadians spent an average of 4.4 hours on mobile apps in 2021, up from 3.9 hours in 2020. This highlights the significant smartphone usage contributed by apps, which majorly adds to data consumption.
- As the country plans to develop more smart cities in the future, it will integrate IoT, blockchain, AI, and other cutting-edge technologies, resulting in more significant data generation. According to the Government of Canada's Smart Cities Challenge launched in 2017, more than 225 municipalities expressed an inclination to explore the plan's advantages by filing their applications, demonstrating interest in developing more smart regions in the future. This would further be bolstered by the emergence of 5G services in smartphones and other faster network technologies, giving rise to wider deployment of smart devices that are controlled by apps in smartphones.
- The revenue generated from some of the most downloaded games in Canada across Android and iOS smartphones amounted to more than USD 1.1 million, signifying the high involvement of users in the app and subsequent in-app purchases, despite them registering a lesser number of downloads compared to social media apps. The number of 5G users is expected to increase from 7% in 2021 to about 62% by 2025, further contributing to data consumption and network evolution over the forecast period.
Understand The Key Trends Shaping This Market
Download PDF
Rising smartphone ownership and increasing in number of app downloads to boost the market growth
- Smartphone usage in Canada is expected to record a CAGR of about 1.92% from 2022 to 2029. As of 2016, the smartphone ownership rate in Canada was about 76%, which increased to about 80.3% by 2018 and reached nearly 89% by 2021. The increase from 84.4% smartphone ownership in 2020 to 89% a year later can be attributed to the COVID-19 pandemic-led changes, primarily for remote education and working patterns. The smartphone ownership rates are estimated to reach about 90% by 2025. The increase is majorly supported by the decreasing monthly smartphone price index, decreasing from about 97.1 in January 2016 to about 42.8 in January 2021.
- Although the data plans in Canada are on the higher side compared to other countries, different facilities, like contracting through a network operator, help in owning one. Customers can opt from among nine national operators in choosing their required plan, further supporting the ownership of smartphones in the country.
- Data regarding the number of apps downloaded on Android smartphones highlighted that social media and online gaming apps account for the highest number of downloads. A similar trend was observed in the apps downloaded by iPhone users, with social media and online gaming apps accounting for the maximum usage. Revenue from e-commerce sales in Canada through smartphones accounted for about USD 28 billion. It is expected to reach about USD 57 billion by 2025, in line with the estimated increase in smartphone usage in the country.
- The rising usage of smartphones is increasing data consumption. Over the forecast period, the country is expected to attract more apps and online platforms, requiring more processing and storage spaces and directly boosting the need for more data centers.
Understand The Key Trends Shaping This Market
Download PDF
OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT
- Increasing government investment in strengthening 5G services to boost the market growth
- Mobile operators and government investment to expand fiber connectivity to boost the market growth
- Government investment to support broadband accessibility to boost market growth
Canada Data Center Industry Overview
The Canada Data Center Market is fragmented, with the top five companies occupying 33.46%. The major players in this market are Beanfield Technologies, Inc. (Beanfield Metroconnect), Cyxtera Technologies, Digital Realty Trust, Inc., Equinix, Inc. and Sungard Availability Services LP (sorted alphabetically).
Canada Data Center Market Leaders
Beanfield Technologies, Inc. (Beanfield Metroconnect)
Cyxtera Technologies
Digital Realty Trust, Inc.
Equinix, Inc.
Sungard Availability Services LP
Other important companies include CentriLogic, Inc., Cologix, Inc., Core Data Centres, Inc., eStruxture Data Centers Inc., Fibre Centre, Rack and data, Vantage Data Centers, LLC.
*Disclaimer: Major Players sorted in alphabetical order.
Need More Details on Market Players and Competitors?
Download PDF
Canada Data Center Market News
- June 2022: Cologix announced its continued strategic partnership with Console Connect by PCCW Global by deploying the Console Connect Software-Defined Interconnection platform at Cologix’s TOR1 data center in Toronto. This marked Console Connect’s second PoP within Cologix’s Canadian market and interconnection ecosystem. The first was available in December 2021 at Cologix’s MTL7 data center in Montréal.
- May 2022: NetIX, the Bulgarian global platform, partnered with data center company eStruxture to provide global connectivity solutions in Canada. According to eStruxture, the collaboration would enable customers to access all of NetIX’s global locations, Internet Exchange Points (IXPs), and NetIX’s Global Internet Exchange (GIX) peering solutions directly from any one of eStruxture’s data centers through the Tunnelling over Internet (ToI) service.
- March 2022: Vantage Data Centers announced the investment of an additional CAD 900 million to scale its Canadian operations rapidly. These included the development of a third campus in Montreal and the expansion of two existing campuses in Montreal and Quebec City. These developments would bring the total number of Vantage campuses in the Province of Quebec to 4.
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.
Canada Data Center Market Report - Table of Contents
EXECUTIVE SUMMARY & KEY FINDINGS
REPORT OFFERS
1. INTRODUCTION
1.1. Study Assumptions & Market Definition
1.2. Scope of the Study
1.3. Research Methodology
2. MARKET OUTLOOK
2.1. IT Load Capacity
2.2. Raised Floor Space
2.3. Colocation Revenue
2.4. Installed Racks
2.5. Rack Space Utilization
2.6. Submarine Cable
3. Key Industry Trends
3.1. Smartphone Users
3.2. Data Traffic Per Smartphone
3.3. Mobile Data Speed
3.4. Broadband Data Speed
3.5. Fiber Connectivity Network
3.6. Regulatory Framework
3.6.1. Canada
3.7. Value Chain & Distribution Channel Analysis
4. MARKET SEGMENTATION (INCLUDES MARKET SIZE IN VOLUME, FORECASTS UP TO 2029 AND ANALYSIS OF GROWTH PROSPECTS)
4.1. Hotspot
4.1.1. Ontario
4.1.2. Quebec
4.1.3. Rest of Canada
4.2. Data Center Size
4.2.1. Large
4.2.2. Massive
4.2.3. Medium
4.2.4. Mega
4.2.5. Small
4.3. Tier Type
4.3.1. Tier 1 and 2
4.3.2. Tier 3
4.3.3. Tier 4
4.4. Absorption
4.4.1. Non-Utilized
4.4.2. Utilized
4.4.2.1. By Colocation Type
4.4.2.1.1. Hyperscale
4.4.2.1.2. Retail
4.4.2.1.3. Wholesale
4.4.2.2. By End User
4.4.2.2.1. BFSI
4.4.2.2.2. Cloud
4.4.2.2.3. E-Commerce
4.4.2.2.4. Government
4.4.2.2.5. Manufacturing
4.4.2.2.6. Media & Entertainment
4.4.2.2.7. Telecom
4.4.2.2.8. Other End User
5. COMPETITIVE LANDSCAPE
5.1. Market Share Analysis
5.2. Company Landscape
5.3. 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).
5.3.1. Beanfield Technologies, Inc. (Beanfield Metroconnect)
5.3.2. CentriLogic, Inc.
5.3.3. Cologix, Inc.
5.3.4. Core Data Centres, Inc.
5.3.5. Cyxtera Technologies
5.3.6. Digital Realty Trust, Inc.
5.3.7. Equinix, Inc.
5.3.8. eStruxture Data Centers Inc.
5.3.9. Fibre Centre
5.3.10. Rack and data
5.3.11. Sungard Availability Services LP
5.3.12. Vantage Data Centers, LLC
5.4. LIST OF COMPANIES STUDIED
6. KEY STRATEGIC QUESTIONS FOR DATA CENTER CEOS
7. APPENDIX
7.1. Global Overview
7.1.1. Overview
7.1.2. Porter’s Five Forces Framework
7.1.3. Global Value Chain Analysis
7.1.4. Global Market Size and DROs
7.2. Sources & References
7.3. List of Tables & Figures
7.4. Primary Insights
7.5. Data Pack
7.6. Glossary of Terms
List of Tables & Figures
- Figure 1:
- VOLUME OF IT LOAD CAPACITY, MW, CANADA, 2017 - 2029
- Figure 2:
- VOLUME OF RAISED FLOOR AREA, SQ.FT. ('000), CANADA, 2017 - 2029
- Figure 3:
- VALUE OF COLOCATION REVENUE, USD MILLION, CANADA, 2017 - 2029
- Figure 4:
- VOLUME OF INSTALLED RACKS, NUMBER, CANADA, 2017 - 2029
- Figure 5:
- RACK SPACE UTILIZATION, %, CANADA, 2017 - 2029
- Figure 6:
- COUNT OF SMARTPHONE USERS, NUMBER, CANADA, 2017 - 2029
- Figure 7:
- DATA TRAFFIC PER SMARTPHONE, GB, CANADA, 2017 - 2029
- Figure 8:
- AVERAGE MOBILE DATA SPEED, MBPS, CANADA, 2017 - 2029
- Figure 9:
- AVERAGE BROADBAND SPEED, MBPS, CANADA, 2017 - 2029
- Figure 10:
- LENGTH OF FIBER CONNECTIVITY NETWORK, KILOMETER, CANADA, 2017 - 2029
- Figure 11:
- VOLUME OF IT LOAD CAPACITY, MW, CANADA, 2017 - 2029
- Figure 12:
- VOLUME OF HOTSPOT, MW, CANADA, 2017 - 2029
- Figure 13:
- VOLUME SHARE OF HOTSPOT, %, CANADA, 2017 - 2029
- Figure 14:
- VOLUME SIZE OF HOTSPOT, MW, CANADA, 2017 - 2029
- Figure 15:
- VOLUME SHARE OF ONTARIO, MW, HOTSPOT, %, CANADA, 2017 - 2029
- Figure 16:
- VOLUME SIZE OF HOTSPOT, MW, CANADA, 2017 - 2029
- Figure 17:
- VOLUME SHARE OF QUEBEC, MW, HOTSPOT, %, CANADA, 2017 - 2029
- Figure 18:
- VOLUME SIZE OF HOTSPOT, MW, CANADA, 2017 - 2029
- Figure 19:
- VOLUME SHARE OF REST OF CANADA, MW, HOTSPOT, %, CANADA, 2017 - 2029
- Figure 20:
- VOLUME OF DATA CENTER SIZE, MW, CANADA, 2017 - 2029
- Figure 21:
- VOLUME SHARE OF DATA CENTER SIZE, %, CANADA, 2017 - 2029
- Figure 22:
- VOLUME SIZE OF DATA CENTER SIZE, MW, CANADA, 2017 - 2029
- Figure 23:
- VOLUME SIZE OF DATA CENTER SIZE, MW, CANADA, 2017 - 2029
- Figure 24:
- VOLUME SIZE OF DATA CENTER SIZE, MW, CANADA, 2017 - 2029
- Figure 25:
- VOLUME SIZE OF DATA CENTER SIZE, MW, CANADA, 2017 - 2029
- Figure 26:
- VOLUME SIZE OF DATA CENTER SIZE, MW, CANADA, 2017 - 2029
- Figure 27:
- VOLUME OF TIER TYPE, MW, CANADA, 2017 - 2029
- Figure 28:
- VOLUME SHARE OF TIER TYPE, %, CANADA, 2017 - 2029
- Figure 29:
- VOLUME SIZE OF TIER TYPE, MW, CANADA, 2017 - 2029
- Figure 30:
- VOLUME SIZE OF TIER TYPE, MW, CANADA, 2017 - 2029
- Figure 31:
- VOLUME SIZE OF TIER TYPE, MW, CANADA, 2017 - 2029
- Figure 32:
- VOLUME OF ABSORPTION, MW, CANADA, 2017 - 2029
- Figure 33:
- VOLUME SHARE OF ABSORPTION, %, CANADA, 2017 - 2029
- Figure 34:
- VOLUME SIZE OF ABSORPTION, MW, CANADA, 2017 - 2029
- Figure 35:
- VOLUME OF COLOCATION TYPE, MW, CANADA, 2017 - 2029
- Figure 36:
- VOLUME SHARE OF COLOCATION TYPE, %, CANADA, 2017 - 2029
- Figure 37:
- VOLUME SIZE OF COLOCATION TYPE, MW, CANADA, 2017 - 2029
- Figure 38:
- VOLUME SIZE OF COLOCATION TYPE, MW, CANADA, 2017 - 2029
- Figure 39:
- VOLUME SIZE OF COLOCATION TYPE, MW, CANADA, 2017 - 2029
- Figure 40:
- VOLUME OF END USER, MW, CANADA, 2017 - 2029
- Figure 41:
- VOLUME SHARE OF END USER, %, CANADA, 2017 - 2029
- Figure 42:
- VOLUME SIZE OF END USER, MW, CANADA, 2017 - 2029
- Figure 43:
- VOLUME SIZE OF END USER, MW, CANADA, 2017 - 2029
- Figure 44:
- VOLUME SIZE OF END USER, MW, CANADA, 2017 - 2029
- Figure 45:
- VOLUME SIZE OF END USER, MW, CANADA, 2017 - 2029
- Figure 46:
- VOLUME SIZE OF END USER, MW, CANADA, 2017 - 2029
- Figure 47:
- VOLUME SIZE OF END USER, MW, CANADA, 2017 - 2029
- Figure 48:
- VOLUME SIZE OF END USER, MW, CANADA, 2017 - 2029
- Figure 49:
- VOLUME SIZE OF END USER, MW, CANADA, 2017 - 2029
- Figure 50:
- VOLUME SHARE OF MAJOR PLAYERS, %, CANADA, 2022
Canada Data Center Industry Segmentation
Ontario, Quebec 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.
- Increased use of IoT platforms by varying sectors, such as manufacturing, agriculture, and cities, has contributed to the growing data consumption, which has triggered the demand for data centers in Canada.
- For instance, out of the 189,874 farms in Canada, autosteer equipment are currently used by 27%, GPS mapping by 13%, drone usage at 3.5%, and robotic milkers at 1.2%. Agriculture IoT may help farmers increase their profitability by providing real-time insights about the crops.
- Similarly, IoT platforms used in the manufacturing sector may help companies improvise supply chain processes and increase their profitability. As IoT platforms have started gaining traction, these huge amounts of generated data may require an increasing number of servers to process them faster.
- Since tier 4 data centers offer higher bandwidth speed, low latency, better connectivity, disaster recovery options and others, most companies opt for tier 4 data centers. These data centers help companies cater to their growing business requirements, optimize efficiency, and offer better services to the consumer. Tier 4 data centers are anticipated to record a CAGR of 22.68%, which is quite higher than the growth of tier 3 at 5.79% and tier 1&2 at 0.76%.
| Hotspot | |
| Ontario | |
| Quebec | |
| Rest of Canada |
| Data Center Size | |
| Large | |
| Massive | |
| Medium | |
| Mega | |
| Small |
| Tier Type | |
| Tier 1 and 2 | |
| Tier 3 | |
| Tier 4 |
| Absorption | |||||||||||||||||
| Non-Utilized | |||||||||||||||||
|
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?
