Germany Data Center Market Size
| Icons | Lable | Value |
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Study Period | 2017 - 2029 |
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Market Volume (2024) | 1.72 Thousand MW |
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Market Volume (2029) | 2.36 Thousand MW |
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Largest Share by Tier Type | Tier 3 |
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CAGR (2024 - 2029) | 6.46 % |
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Fastest Growing by Tier Type | Tier 4 |
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Market Concentration | Medium |
Major Players |
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*Disclaimer: Major Players sorted in alphabetical order. |
Germany Data Center Market Analysis
The Germany Data Center Market size is estimated at 1.72 thousand MW in 2024, and is expected to reach 2.36 thousand MW by 2029, growing at a CAGR of 6.46%. Further, the market is expected to generate colocation revenue of USD 4,220.4 Million in 2024 and is projected to reach USD 5,770.2 Million by 2029, growing at a CAGR of 6.46% during the forecast period (2024-2029).
USD 4,220.40 Million
Market Size in 2024
USD 5,770.2 Million
Market Size in 2029
7.7%
CAGR (2017-2023)
6.5%
CAGR (2024-2029)
IT Load Capacity
1,723 MW
Value, IT Load Capacity, 2024
The IT load capacity of the German data center market may grow steadily and reach 2,356 MW by 2029. The increased data consumption and advanced network infrastructure would directly impact the need for data centers to store the data.
Total Raised Floor Space
Sq. Ft. 8.61 M
Volume, Raised Floor Space, 2024
Potential competitors looking forward to adding to their overall capacity through new facilities. Vantage Data Centers plans to expand its existing Berlin facilities BER-1 and BER-2, wit an IT load capacities of 16 MW and 40 MW by 2029.
Installed Racks
430,786
Volume, Installed Racks, 2024
The country's total number of installed racks is expected to reach 588,980 units by 2029. Frankfurt will likely house the maximum number of racks by 2029.
# of DC Operators & DC Facilities
40 and 141
Volume, DC Facilities, 2024
Germany's stringent data regulations have led companies to opt for data centers. Several initiatives taken by the government to make its cities smart are expected to propel the growth of the number of data centers to more than 142 by 2029.
Leading Market Player
18.6%
Market Share, Digital Realty Trust, Inc., Inc.
Digital Realty led the market with a share of 18.6% and an operational capacity of 287.3 MW. New entrants such as Maincube are expected to develop data center facilities in Frankfurt and Berlin.
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 4 segment leads the German data center market based on tier capacity. The segment's capacity is expected to grow from 524.3 MW in 2023 to 1112.5 MW by 2029, with a CAGR of 13.4%. With evolving technology, the German population is increasingly adopting various internet devices such as desktops, tablets, smartphones, consoles, and smart gear for streaming content, home security, online gaming, and other services.
- This trend has led to a shift from traditional desktops or laptops to a range of new devices. Initially, data centers were meant to cater to the minimal requirements of clients. Thus, they were small in size and had Tier 1 & 2 certifications and minimum racks.
- With the growing adoption of new devices and the implementation of a 5G network to provide the necessary speeds to use these devices at the fullest potential, companies are shifting toward facilities that offer uninterrupted computing services. Therefore, the market share of tier 4 facilities is expected to increase from 34% in 2023 to 47.2% in 2029.
- The number of people living in smart cities accounts for around 76%, which is expected to increase further. For instance, smart cities such as Weimar have transitioned their street lighting from traditional bulbs to smart LEDs due to rising energy prices. Around 83% of the lighting has been replaced with the smart lighting system, thus helping save energy of 100,000 kWh and reduce lighting expenses. Such infrastructural developments are supported by tier 3 and 4 facilities with minimal downtimes, thus complementing the growth of these segments in the market.
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Germany Data Center Market Trends
Surge in 5G-enabled smartphones and m-commerce is boosting the data center market
- Smartphone usage in Germany is expected to increase and register a CAGR of 1.4% by 2029. Smartphone usage is growing among the younger audience, with about 81% between the ages of 16 and 29 using their smartphones to shop online. It further highlights how m-commerce is driving the market growth. Also, the overall usage of the smartphone for shopping online increased from 54% in 2020 to about 60% in 2021, suggesting the digital inclusiveness of the market.
- The data from GFU suggested that the average price of a smartphone increased from about EUR 489 in 2018 to EUR 555 in 2021. Also, the smartphone revenue generated by the country increased from EUR 10,860 million in 2019 to EUR 11,930 in 2021. This highlights 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 Germany, users are expected to continue to buy the devices and leverage the growing bandwidth and network infrastructure. Major network service providers are aiming to extend the 5G service coverage to almost the entire population of the country by 2025, driving the smartphone market during the forecast period.
- With the smartphone adoption rate of 80% in 2021 to increase to about 84% by 2025 and an estimated subscriber penetration rate of 89% by 2025, the region is expected to see a rise in the number of smartphones. This would create more data-generating points, creating demand for data centers to provide the required processing platforms for smartphone-centric software and online storage options in Germany.
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Surge in adoption of FTTH technology boost the data center market
- Most of Germany's network and internet infrastructure comprises copper wire networks delivering the internet to households and businesses. The data provided by the Organization for Economic Cooperation and Development suggested only about 2% of the broadband connections accounted for pure fiber-optic systems in 2019, increasing to just 5.4% in 2022, which still indicated more than 90% of the rest of the connections to use improved copper connections. The companies used vectoring technology to enhance the copper wire network, which still could not get speeds exceeding 250 Mbps even in the areas with better network availability.
- Being a part of the EU, "Europe 2020" pushed the network development with a common goal to provide 100 Mbps to 50% of households by 2020. However, despite vectoring technology and large-scale DSL implementation, by 2017, only about 77% of German households received speeds of about 50 Mbps, far less than the targeted speeds. However, for fiber connectivity expansion, in 2019, the German government announced a plan to invest EUR 12 billion to achieve about 1,000 Mbps speed at a large scale by 2025.
- The requirement for faster network connectivity highlighted in the COVID-19 pandemic has hastened the introduction of FTTH in Germany. The data suggested that the country exhibited the third-highest growth rate in FTTH deployment in Europe, with an increase of about 66% in 2022, compared to 2021, with goals for considerable roll-outs by 2025. This would also attract more data center facilities and investment opportunities to leverage the developed conditions in Germany during the forecast period.
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OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT
- Availability of internet in households and increase in work-from-home video conferencing, video streaming, gaming si boosting the market demand
- German Digital Infrastructure Ministry subsidy for fiber-based telecom is boosting the market demand
- Mobile internet expansion in rural areas and deploying technologies like Open RAN to smoothen the extension of 5G technologies boost the market
Germany Data Center Industry Overview
The Germany Data Center Market is moderately consolidated, with the top five companies occupying 55.94%. The major players in this market are CyrusOne Inc., Digital Realty Trust Inc., Equinix Inc., Iron Mountain Incorporated and NTT Ltd (sorted alphabetically).
Germany Data Center Market Leaders
CyrusOne Inc.
Digital Realty Trust Inc.
Equinix Inc.
Iron Mountain Incorporated
NTT Ltd
Other important companies include Global Switch Holdings Limited, GlobalConnect AB, Leaseweb Global BV, Lumen Technologies Inc., Noris Network AG, Telehouse (KDDI Corporation), Vantage Data Centers LLC.
*Disclaimer: Major Players sorted in alphabetical order.
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Germany Data Center Market News
- January 2023: CyrusOne acquired an office complex in Frankfurt, Germany, planning to turn it into a data center campus. The investment group Corum had sold the Europark office complex in Frankfurt for EUR 95 million (USD 102.3 million), before confirming that CyrusOne was the buyer.
- November 2022: Lumen announced plans to sell its EMEA operations to Colt Technology Services. The communications company announced entering into an exclusive arrangement for the proposed sale of Lumen's Europe, Middle East, and Africa (EMEA) business to Colt for USD 1.8 billion. The deal was set to close as early as late 2023.
- November 2022: Vantage Data Centers announced delivering three new facilities in Berlin and Frankfurt and opening a new German office in Raunheim. Vantage welcomed a second data center on its 25-acre (10-hectare) Berlin I campus. The two-story, 130,000 square foot (12,000 square meters) facility offered 16MW of IT capacity to hyperscalers and large cloud providers. Once fully developed, the expanding campus would include 4 data centers totaling 56MW and 474,000 square feet (44,000 square meters).
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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.
Germany 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. Germany
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. Frankfurt
4.1.2. Rest of Germany
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. CyrusOne Inc.
5.3.2. Digital Realty Trust Inc.
5.3.3. Equinix Inc.
5.3.4. Global Switch Holdings Limited
5.3.5. GlobalConnect AB
5.3.6. Iron Mountain Incorporated
5.3.7. Leaseweb Global BV
5.3.8. Lumen Technologies Inc.
5.3.9. Noris Network AG
5.3.10. NTT Ltd
5.3.11. Telehouse (KDDI Corporation)
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, GERMANY, 2017 - 2029
- Figure 2:
- VOLUME OF RAISED FLOOR AREA, SQ.FT. ('000), GERMANY, 2017 - 2029
- Figure 3:
- VALUE OF COLOCATION REVENUE, USD MILLION, GERMANY, 2017 - 2029
- Figure 4:
- VOLUME OF INSTALLED RACKS, NUMBER, GERMANY, 2017 - 2029
- Figure 5:
- RACK SPACE UTILIZATION, %, GERMANY, 2017 - 2029
- Figure 6:
- COUNT OF SMARTPHONE USERS, IN MILLION, GERMANY, 2017 - 2029
- Figure 7:
- DATA TRAFFIC PER SMARTPHONE, GB, GERMANY, 2017 - 2029
- Figure 8:
- AVERAGE MOBILE DATA SPEED, MBPS, GERMANY, 2017 - 2029
- Figure 9:
- AVERAGE BROADBAND SPEED, MBPS, GERMANY, 2017 - 2029
- Figure 10:
- LENGTH OF FIBER CONNECTIVITY NETWORK, KILOMETER, GERMANY, 2017 - 2029
- Figure 11:
- VOLUME OF IT LOAD CAPACITY, MW, GERMANY, 2017 - 2029
- Figure 12:
- VOLUME OF HOTSPOT, MW, GERMANY, 2017 - 2029
- Figure 13:
- VOLUME SHARE OF HOTSPOT, %, GERMANY, 2017 - 2029
- Figure 14:
- VOLUME SIZE OF FRANKFURT, MW, GERMANY, 2017 - 2029
- Figure 15:
- VOLUME SHARE OF FRANKFURT, MW, HOTSPOT, %, GERMANY, 2017 - 2029
- Figure 16:
- VOLUME SIZE OF REST OF GERMANY, MW, GERMANY, 2017 - 2029
- Figure 17:
- VOLUME SHARE OF REST OF GERMANY, MW, HOTSPOT, %, GERMANY, 2017 - 2029
- Figure 18:
- VOLUME OF DATA CENTER SIZE, MW, GERMANY, 2017 - 2029
- Figure 19:
- VOLUME SHARE OF DATA CENTER SIZE, %, GERMANY, 2017 - 2029
- Figure 20:
- VOLUME SIZE OF LARGE, MW, GERMANY, 2017 - 2029
- Figure 21:
- VOLUME SIZE OF MASSIVE, MW, GERMANY, 2017 - 2029
- Figure 22:
- VOLUME SIZE OF MEDIUM, MW, GERMANY, 2017 - 2029
- Figure 23:
- VOLUME SIZE OF MEGA, MW, GERMANY, 2017 - 2029
- Figure 24:
- VOLUME SIZE OF SMALL, MW, GERMANY, 2017 - 2029
- Figure 25:
- VOLUME OF TIER TYPE, MW, GERMANY, 2017 - 2029
- Figure 26:
- VOLUME SHARE OF TIER TYPE, %, GERMANY, 2017 - 2029
- Figure 27:
- VOLUME SIZE OF TIER 1 AND 2, MW, GERMANY, 2017 - 2029
- Figure 28:
- VOLUME SIZE OF TIER 3, MW, GERMANY, 2017 - 2029
- Figure 29:
- VOLUME SIZE OF TIER 4, MW, GERMANY, 2017 - 2029
- Figure 30:
- VOLUME OF ABSORPTION, MW, GERMANY, 2017 - 2029
- Figure 31:
- VOLUME SHARE OF ABSORPTION, %, GERMANY, 2017 - 2029
- Figure 32:
- VOLUME SIZE OF NON-UTILIZED, MW, GERMANY, 2017 - 2029
- Figure 33:
- VOLUME OF COLOCATION TYPE, MW, GERMANY, 2017 - 2029
- Figure 34:
- VOLUME SHARE OF COLOCATION TYPE, %, GERMANY, 2017 - 2029
- Figure 35:
- VOLUME SIZE OF HYPERSCALE, MW, GERMANY, 2017 - 2029
- Figure 36:
- VOLUME SIZE OF RETAIL, MW, GERMANY, 2017 - 2029
- Figure 37:
- VOLUME SIZE OF WHOLESALE, MW, GERMANY, 2017 - 2029
- Figure 38:
- VOLUME OF END USER, MW, GERMANY, 2017 - 2029
- Figure 39:
- VOLUME SHARE OF END USER, %, GERMANY, 2017 - 2029
- Figure 40:
- VOLUME SIZE OF BFSI, MW, GERMANY, 2017 - 2029
- Figure 41:
- VOLUME SIZE OF CLOUD, MW, GERMANY, 2017 - 2029
- Figure 42:
- VOLUME SIZE OF E-COMMERCE, MW, GERMANY, 2017 - 2029
- Figure 43:
- VOLUME SIZE OF GOVERNMENT, MW, GERMANY, 2017 - 2029
- Figure 44:
- VOLUME SIZE OF MANUFACTURING, MW, GERMANY, 2017 - 2029
- Figure 45:
- VOLUME SIZE OF MEDIA & ENTERTAINMENT, MW, GERMANY, 2017 - 2029
- Figure 46:
- VOLUME SIZE OF TELECOM, MW, GERMANY, 2017 - 2029
- Figure 47:
- VOLUME SIZE OF OTHER END USER, MW, GERMANY, 2017 - 2029
- Figure 48:
- VOLUME SHARE OF MAJOR PLAYERS, %, GERMANY, 2022
Germany Data Center Industry Segmentation
Frankfurt 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 4 segment leads the German data center market based on tier capacity. The segment's capacity is expected to grow from 524.3 MW in 2023 to 1112.5 MW by 2029, with a CAGR of 13.4%. With evolving technology, the German population is increasingly adopting various internet devices such as desktops, tablets, smartphones, consoles, and smart gear for streaming content, home security, online gaming, and other services.
- This trend has led to a shift from traditional desktops or laptops to a range of new devices. Initially, data centers were meant to cater to the minimal requirements of clients. Thus, they were small in size and had Tier 1 & 2 certifications and minimum racks.
- With the growing adoption of new devices and the implementation of a 5G network to provide the necessary speeds to use these devices at the fullest potential, companies are shifting toward facilities that offer uninterrupted computing services. Therefore, the market share of tier 4 facilities is expected to increase from 34% in 2023 to 47.2% in 2029.
- The number of people living in smart cities accounts for around 76%, which is expected to increase further. For instance, smart cities such as Weimar have transitioned their street lighting from traditional bulbs to smart LEDs due to rising energy prices. Around 83% of the lighting has been replaced with the smart lighting system, thus helping save energy of 100,000 kWh and reduce lighting expenses. Such infrastructural developments are supported by tier 3 and 4 facilities with minimal downtimes, thus complementing the growth of these segments in the market.
| Hotspot | |
| Frankfurt | |
| Rest of Germany |
| Data Center Size | |
| Large | |
| Massive | |
| Medium | |
| Mega | |
| Small |
| Tier Type | |
| Tier 1 and 2 | |
| Tier 3 | |
| Tier 4 |
| Absorption | |||||||||||||||||
| Non-Utilized | |||||||||||||||||
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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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