Norway Data Center Market Size
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Study Period | 2017 - 2029 |
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Market Volume (2024) | 443.8 MW |
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Market Volume (2029) | 696.6 MW |
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Largest Share by Tier Type | Tier 3 |
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CAGR (2024 - 2029) | 9.43 % |
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Fastest Growing by Tier Type | Tier 4 |
Major Players |
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*Disclaimer: Major Players sorted in no particular order |
Norway Data Center Market Analysis
The Norway Data Center Market size is estimated at 443.8 MW in 2024, and is expected to reach 696.6 MW by 2029, growing at a CAGR of 9.43%. Further, the market is expected to generate colocation revenue of USD 902.8 Million in 2024 and is projected to reach USD 1,416.9 Million by 2029, growing at a CAGR of 9.43% during the forecast period (2024-2029).
USD 902.81 Million
Market Size in 2024
USD 1,416.8 Million
Market Size in 2029
7.5%
CAGR (2017-2023)
9.4%
CAGR (2024-2029)
IT Load Capacity
443.8 MW
Value, IT Load Capacity, 2024
The IT load capacity of the Norway data center market expected to reach 696.5 MW by 2029. The inclusion of 5G in the country has led to an increase in the consumption of data, which has triggered the growth of data centers in the country.
Total Raised Floor Space
Sq. Ft. 2.21 M
Volume, Raised Floor Space, 2024
Growing awareness among countries to increase sustainability practices and offer a better quality of life to its citizens has led to the rising number of smart cities in Norway. Such instances have led to increased consumption of data.
Installed Racks
110,960
Volume, Installed Racks, 2024
Oslo will likely house the maximum number of racks by 2029. The increase is attributed to companies like Stack Infrastructure announcing plans to open a massive data center facility of 36 MW in Oslo by 2029.
# of DC Operators & DC Facilities
15 and 38
Volume, DC Facilities, 2024
Good connectivity, low electricity bills, growing demand for renewable energy, and government incentives on land and tax are a few factors boosting the growth of data center facilities in the country.
Leading Market Player
26.9%
Market Share, Green Mountain AS, 2023
Green Mountain AS led the market with a share of 26.9%. It announced its plans to open data center facilities in varying locations in the country, including Fredrikstad, Sarpsbog, and Tromso.
Tier 3 data center accounted for majority share in terms of volume in 2023, and is expected to dominate through out the forecasted period
- Growing awareness among countries to increase sustainability practices and offer a better quality of life to its citizens has led to the rising number of smart cities in Norway. Evolving smart cities, in addition to factors such as the use of smart devices for streaming, playing games, transactions, online food ordering, home security, and lighting, have led to increased consumption of data.
- Tier 3 and tier 4 data centers have advanced infrastructure facilities and offer additional features such as remote assistance, disaster recovery, lower downtime, and low latency; therefore, large enterprises like content-oriented companies prefer using these data centers. Tier 3 and tier 4 facilities are expected to dominate the market during the forecast period, with 59.2% and 39.5%, respectively, of the studied market by 2029. Tier 3 is expected to witness a decrease in market share, while tier 4 data centers will gain traction due to the country's increasing digital inclusion.
- For instance, around 1.9 million people used food delivery applications for ordering food in Norway, which generated an annual value of around USD 223.9 million in 2022, suggesting the growing acceptance of quick commerce software. Also, since the number of users accessing social media in Norway increased from 3 million in 2014 to 4.75 million in 2022, this has led to clients opting for tier 4 data centers to provide uninterrupted service. Streaming services require delivering high-quality content and low latency for the best viewing experience.
- Hence, growing data consumption is expected to increase the IT load capacity of tier 4 data centers from 105.2 MW in 2023 to 293.4 MW by 2029 at a CAGR of 18.65%.
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Norway Data Center Market Trends
Increasing number of 5G-enabled smartphones and internet surge lead to boost the market demand
- Smartphone usage in Norway will increase at a CAGR of about 0.89% from 2022 to 2029. About 86% users accessed the internet everyday using their smartphones in Norway in 2021, compared to about 85% accessing in 2018, and 74% in 2016. As of 2021, the users aged between the age group of 16-19 years comprised about 99%, followed by 96% belonging to the age group of 20-24 years and 25 to 44 years, highlighting how the young and mature audience, both contribute significantly to the overall smartphone adoption.
- The data from Eurostat suggested that about 75% of internet users shopped online in 2018 in Norway, including about 40% accessing the e-commerce platforms through their smartphones. Mobile call service revenue increased from NOK 20.39 billion in 2019 to NOK 21.39 billion in 2021. This highlighted the buying power and requirement of smartphones among the buyers in the country, contributing to the increasing number of smartphones. As more 5G-enabled smartphones are available in Norway, users will continue to buy the devices and leverage the high average download speeds.
- With a high smartphone adoption rate of more than 96% of users preferring Apple smartphones in 2020, compared to about 91% accessing smartphones as of 2017, the growth rate is bound to increase with high uptake during the forecast period. As the country is set to account for better penetration, the rise in the number of 5G-enabled smartphones in the region may create more data-generating points and demand for data centers to provide the required processing platform for smartphone-centric software and online storage options in Norway.
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Increasing FTTH users and fiber network is boosting the data speed leading to demand for data center
- Broadband connectivity in Norway accounted for a major dependence on fiber connectivity as of 2022. Since only a few wholesale network users depended on copper-based broadband networks, most service providers are considering shutting down the copper network, shifting the services completely to fiber and DSL-supported services. As of 2023, Telenor, one of the major service providers, announced shutting down its copper network, emphasizing 5G and fiber roll-outs.
- The overall broadband speeds of the country accounted for about 109.42 Mbps in 2022, compared to about 104.02 Mbps in 2021. The drastic shift to fiber may attract major infrastructural opportunities for the service providers by extending the services for FTTH users. This shift is supported by strategic partnerships among service providers, including the three-year partnership for fiber and FWA between Eltel Norway and Viken Fiber, accounting for about NOK 200 million.
- As of 2020, the number of fixed broadband connections in Norway was reported to be about 2.3 million by the World Bank, increasing from about 2.21 million in 2018. With operators like Bayonette introducing FTTH services with data transfer capabilities of about 1 Gbps in 2013, the scenario is set to evolve for faster broadband speeds delivered through the fiber network in the country. The faster data transmission achieved due to the better FTTH services in the country is expected to contribute significantly to data generation, directly impacting the demand for data centers.
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OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT
- Increasing smart cities initiatives and ‘work from home’ trend lead to increase in market demand
- Increasing fiber connectivity by player such as Telenor to deepen the internal fiber conenections leads to increase in market demand
- Roll-out of commercial 5G network services and initiatives towards faster wireless communication due to smart city development leads to market growth
Norway Data Center Industry Overview
The Norway Data Center Market is fragmented, with the top five companies occupying 21.24%. The major players in this market are AQ Compute Data Center (Aquila Capital Management GmbH), Bulk Infrastructure Group AS, GlobalConnect AB, Orange Business Services AS (Basefarm) and Storespeed AS (sorted alphabetically).
Norway Data Center Market Leaders
AQ Compute Data Center (Aquila Capital Management GmbH)
Bulk Infrastructure Group AS
GlobalConnect AB
Orange Business Services AS (Basefarm)
Storespeed AS
Other important companies include Blix Solutions AS, BlueFjords, Green Mountain AS, Lefdal Mine Data Center AS, New Mining (Dataroom AS), Nordic Hub Data Centers AS, Stack Infrastructure Inc..
*Disclaimer: Major Players sorted in alphabetical order.
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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.
Norway 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 Norway
- 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 Oslo
- 6.1.2 Vestland
- 6.1.3 Rest of Norway
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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 AQ Compute Data Center (Aquila Capital Management GmbH)
- 7.3.2 Blix Solutions AS
- 7.3.3 BlueFjords
- 7.3.4 Bulk Infrastructure Group AS
- 7.3.5 GlobalConnect AB
- 7.3.6 Green Mountain AS
- 7.3.7 Lefdal Mine Data Center AS
- 7.3.8 New Mining (Dataroom AS)
- 7.3.9 Nordic Hub Data Centers AS
- 7.3.10 Orange Business Services AS (Basefarm)
- 7.3.11 Stack Infrastructure Inc.
- 7.3.12 Storespeed AS
- 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, NORWAY, 2017 - 2029
- Figure 2:
- VOLUME OF RAISED FLOOR AREA, SQ.FT. ('000), NORWAY, 2017 - 2029
- Figure 3:
- VALUE OF COLOCATION REVENUE, USD MILLION, NORWAY, 2017 - 2029
- Figure 4:
- VOLUME OF INSTALLED RACKS, NUMBER, NORWAY, 2017 - 2029
- Figure 5:
- RACK SPACE UTILIZATION, %, NORWAY, 2017 - 2029
- Figure 6:
- COUNT OF SMARTPHONE USERS, IN MILLION, NORWAY, 2017 - 2029
- Figure 7:
- DATA TRAFFIC PER SMARTPHONE, GB, NORWAY, 2017 - 2029
- Figure 8:
- AVERAGE MOBILE DATA SPEED, MBPS, NORWAY, 2017 - 2029
- Figure 9:
- AVERAGE BROADBAND SPEED, MBPS, NORWAY, 2017 - 2029
- Figure 10:
- LENGTH OF FIBER CONNECTIVITY NETWORK, KILOMETER, NORWAY, 2017 - 2029
- Figure 11:
- VOLUME OF IT LOAD CAPACITY, MW, NORWAY, 2017 - 2029
- Figure 12:
- VOLUME OF HOTSPOT, MW, NORWAY, 2017 - 2029
- Figure 13:
- VOLUME SHARE OF HOTSPOT, %, NORWAY, 2017 - 2029
- Figure 14:
- VOLUME SIZE OF OSLO, MW, NORWAY, 2017 - 2029
- Figure 15:
- VOLUME SHARE OF OSLO, MW, HOTSPOT, %, NORWAY, 2017 - 2029
- Figure 16:
- VOLUME SIZE OF VESTLAND, MW, NORWAY, 2017 - 2029
- Figure 17:
- VOLUME SHARE OF VESTLAND, MW, HOTSPOT, %, NORWAY, 2017 - 2029
- Figure 18:
- VOLUME SIZE OF REST OF NORWAY, MW, NORWAY, 2017 - 2029
- Figure 19:
- VOLUME SHARE OF REST OF NORWAY, MW, HOTSPOT, %, NORWAY, 2017 - 2029
- Figure 20:
- VOLUME OF DATA CENTER SIZE, MW, NORWAY, 2017 - 2029
- Figure 21:
- VOLUME SHARE OF DATA CENTER SIZE, %, NORWAY, 2017 - 2029
- Figure 22:
- VOLUME SIZE OF LARGE, MW, NORWAY, 2017 - 2029
- Figure 23:
- VOLUME SIZE OF MASSIVE, MW, NORWAY, 2017 - 2029
- Figure 24:
- VOLUME SIZE OF MEDIUM, MW, NORWAY, 2017 - 2029
- Figure 25:
- VOLUME SIZE OF MEGA, MW, NORWAY, 2017 - 2029
- Figure 26:
- VOLUME SIZE OF SMALL, MW, NORWAY, 2017 - 2029
- Figure 27:
- VOLUME OF TIER TYPE, MW, NORWAY, 2017 - 2029
- Figure 28:
- VOLUME SHARE OF TIER TYPE, %, NORWAY, 2017 - 2029
- Figure 29:
- VOLUME SIZE OF TIER 1 AND 2, MW, NORWAY, 2017 - 2029
- Figure 30:
- VOLUME SIZE OF TIER 3, MW, NORWAY, 2017 - 2029
- Figure 31:
- VOLUME SIZE OF TIER 4, MW, NORWAY, 2017 - 2029
- Figure 32:
- VOLUME OF ABSORPTION, MW, NORWAY, 2017 - 2029
- Figure 33:
- VOLUME SHARE OF ABSORPTION, %, NORWAY, 2017 - 2029
- Figure 34:
- VOLUME SIZE OF NON-UTILIZED, MW, NORWAY, 2017 - 2029
- Figure 35:
- VOLUME OF COLOCATION TYPE, MW, NORWAY, 2017 - 2029
- Figure 36:
- VOLUME SHARE OF COLOCATION TYPE, %, NORWAY, 2017 - 2029
- Figure 37:
- VOLUME SIZE OF HYPERSCALE, MW, NORWAY, 2017 - 2029
- Figure 38:
- VOLUME SIZE OF RETAIL, MW, NORWAY, 2017 - 2029
- Figure 39:
- VOLUME SIZE OF WHOLESALE, MW, NORWAY, 2017 - 2029
- Figure 40:
- VOLUME OF END USER, MW, NORWAY, 2017 - 2029
- Figure 41:
- VOLUME SHARE OF END USER, %, NORWAY, 2017 - 2029
- Figure 42:
- VOLUME SIZE OF BFSI, MW, NORWAY, 2017 - 2029
- Figure 43:
- VOLUME SIZE OF CLOUD, MW, NORWAY, 2017 - 2029
- Figure 44:
- VOLUME SIZE OF E-COMMERCE, MW, NORWAY, 2017 - 2029
- Figure 45:
- VOLUME SIZE OF GOVERNMENT, MW, NORWAY, 2017 - 2029
- Figure 46:
- VOLUME SIZE OF MANUFACTURING, MW, NORWAY, 2017 - 2029
- Figure 47:
- VOLUME SIZE OF MEDIA & ENTERTAINMENT, MW, NORWAY, 2017 - 2029
- Figure 48:
- VOLUME SIZE OF TELECOM, MW, NORWAY, 2017 - 2029
- Figure 49:
- VOLUME SIZE OF OTHER END USER, MW, NORWAY, 2017 - 2029
- Figure 50:
- VOLUME SHARE OF MAJOR PLAYERS, %, NORWAY, 2022
Norway Data Center Industry Segmentation
Oslo, Vestland 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.
- Growing awareness among countries to increase sustainability practices and offer a better quality of life to its citizens has led to the rising number of smart cities in Norway. Evolving smart cities, in addition to factors such as the use of smart devices for streaming, playing games, transactions, online food ordering, home security, and lighting, have led to increased consumption of data.
- Tier 3 and tier 4 data centers have advanced infrastructure facilities and offer additional features such as remote assistance, disaster recovery, lower downtime, and low latency; therefore, large enterprises like content-oriented companies prefer using these data centers. Tier 3 and tier 4 facilities are expected to dominate the market during the forecast period, with 59.2% and 39.5%, respectively, of the studied market by 2029. Tier 3 is expected to witness a decrease in market share, while tier 4 data centers will gain traction due to the country's increasing digital inclusion.
- For instance, around 1.9 million people used food delivery applications for ordering food in Norway, which generated an annual value of around USD 223.9 million in 2022, suggesting the growing acceptance of quick commerce software. Also, since the number of users accessing social media in Norway increased from 3 million in 2014 to 4.75 million in 2022, this has led to clients opting for tier 4 data centers to provide uninterrupted service. Streaming services require delivering high-quality content and low latency for the best viewing experience.
- Hence, growing data consumption is expected to increase the IT load capacity of tier 4 data centers from 105.2 MW in 2023 to 293.4 MW by 2029 at a CAGR of 18.65%.
| Hotspot | Oslo | ||
| Vestland | |||
| Rest of Norway | |||
| 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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