Russia Data Center Market Size
| Icons | Lable | Value |
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Study Period | 2017 - 2029 |
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Market Volume (2024) | 0.85 Thousand MW |
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Market Volume (2029) | 1.52 Thousand MW |
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Largest Share by Tier Type | Tier 3 |
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CAGR (2024 - 2029) | 12.32 % |
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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. |
Russia Data Center Market Analysis
The Russia Data Center Market size is estimated at 0.85 thousand MW in 2024, and is expected to reach 1.52 thousand MW by 2029, growing at a CAGR of 12.32%. Further, the market is expected to generate colocation revenue of USD 1,761.9 Million in 2024 and is projected to reach USD 1,974.7 Million by 2029, growing at a CAGR of 2.31% during the forecast period (2024-2029).
USD 1,761.93 Million
Market Size in 2024
USD 1,974.7 Million
Market Size in 2029
20.1%
CAGR (2017-2023)
2.3%
CAGR (2024-2029)
IT Load Capacity
848 MW
Value, IT Load Capacity, 2024
Data adoption in smart city projects such as video monitoring program and investment by companies such as linxdatacenter and ixcellerate leads to boost the market demand.
Total Raised Floor Space
Sq. Ft. 2.42 M
Volume, Raised Floor Space, 2024
Businesses in Russia increasingly utilize modern technology to streamline their daily operations. By 2025, most companies plan to introduce cloud infrastructure into their business processes.
Installed Racks
121,145
Volume, Installed Racks, 2024
Moscow is expected to house the maximum number of racks by 2029. IXcellerate with Moscow Five (MOS5) campus on 34 acres in Moscow with up to 200 MW planned with a design capacity of around 20,000 rack spaces.
# of DC Operators & DC Facilities
31 and 103
Volume, DC Facilities, 2024
In 2024, there were 99 colocation DC facilities in Russia. Majorly, factors that contribute to the growth of the DC facilities in the country include cloud adoption, an increase in broadband connectivity, and smartphone penetration.
Leading Market Player
18.7%
Market Share, Rostelecom, 2023
Rostelecom was the leading player in the Russian market in the historical period, with 19 facilities and 128.3 MW in operation. It is expected to roll out five data centers with a capacity of 56 MW during the forecast period.
Tier 3 data center accounted for majority share in terms of volume in 2023, and tier 4 is expected to dominate through out the forecasted period
- The tier 3 segment in Russia reached an IT load capacity of 459.63 MW in 2022. They are projected to register a CAGR of 5.63%, surpassing 700.98 MW by 2029. The tier 4 segment is projected to register a CAGR of 32.83% to reach an IT load capacity of 782.78 MW by 2029.
- Tier 1 & 2 facilities are gradually losing their demand, which may continue in the coming years. Tier 1 & 2 facilities are expected to hold a market share of nearly 2.3% by 2029. This minimal growth is likely to be a result of prolonged and inconsistent outages. Most users will eventually switch to tier 3 and 4 facilities, which currently hold 55.6% and 42.1% of the market, respectively, due to the increased demand for storing, processing, and analyzing data.
- The e-commerce and BFSI segments are expanding. In recent years, Russia has seen a rise in the use of online and mobile banking. For instance, the volume of online sales of physical goods in Russia grew 1.5-fold Y-o-Y in the first half of 2022 to 2.2 trillion. In 2020, domestic Russian online sales of physical items reached USD 37 billion, an increase of 58% from 2019.
- Tier 4 data centers are projected to grow significantly in the coming years as more businesses are providing cloud-based services. Therefore, many data center providers are constructing facilities to provide colocation spaces with the best technology.
- The Russian invasion of Ukraine in 2022 boosted the prices of cloud services significantly as major Western manufacturers stopped supplying IT equipment to the Russian market due to logistical issues and the increased value of the Dollar and Euro.
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Russia Data Center Market Trends
Increasing surge of mobile internet services and application leads to boost the market demand
- The total number of smartphone users was 110.20 million in 2022. It is expected to reach 129.41 million in 2029, registering a CAGR of 2.6% during the forecast period.
- Smartphone users are rising owing to the growing demand for mobile internet services and applications and the real-time need for information exchange. Consumer behavior has been impacted by the widespread adoption of the Internet and smartphone technology in various businesses. For instance, in 2017, Russia sold 28.4 million smartphones, 6% more than in 2016. The market grew by 17.3% and reached USD 5.5 billion. Russians bought 27.6 million smartphones in 2014. Due to the ruble's fall in December 2014, high-end devices were in demand, especially smartphones. The overall smartphone market shrank by around 5% in 2015.
- In 2018, smartphone prices increased in Russia as consumers switched from low-cost phones to mid-range ones. Chinese manufacturers are making more products in the middle segment, luring customers with various incentives. From 2018 to 2021, the Russian market grew twice as fast as before the 2014 crisis. Chinese brands lost 50% of sales in 2021, and 8.5 lakh 5G smartphones were sold in five months. In 2022, device sales declined 20%, with market volume at 26.5 million units at the end of 2022 against 32.5 million in 2021. In addition, Russia experienced a smartphone shortage in 2022 as Chinese firms, including Apple and Samsung, withdrew from Russia in March 2022 over the country's invasion of Ukraine.
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Increasing use of Fiber internet connections and FTTx Internet connections in household leads to the growth in market
- A copper-based internet connection provides up to 300 Mbps speed, whereas a fiber optic internet connection can reach up to 10 Gbps. Fiber internet connections became increasingly popular in Russia during the period under consideration. FTTx Internet households generated 99.7 Gigabytes of Internet traffic per month in 2021, 90.8% more than other broadband households. This is due to the increase in internet users, which creates a need for storing larger sizes and volumes of data.
- As of April 2021, Russia was ranked 51st in the world for fixed broadband speeds. This was due to fixed broadband speeds increasing by 36.9% over the previous year. Download speeds for Russian providers in Q1 2021 varied substantially, with MTS reporting the fastest median download speeds at 71.97 Mbps and a median download speed of 66.52 Mbps. Dom.ru was slower than MTS. The next fastest provider was Beeline, with median download and upload speeds of 57.29 Mbps and 65.18 Mbps, respectively. Rostelecom and TTK had download speeds of 50.11 Mbps and 45.52 Mbps, and upload speeds of 55.17 Mbps and 54.36 Mbps, respectively, making them the two slowest providers in Russia.
- MTS was the significant fixed broadband service provider, with a median download speed of 106.52 Mbps in Moscow in Q1 2021. Rostelecom was the fastest provider in Chelyabinsk (65.21 Mbps) and St. Petersburg (77.00 Mbps). Ufanet was the quickest provider in Kazan (87.33 Mbps), and Dom.ru was the fastest in Rostov-on-Don (72.62 Mbps) and Samara (66.27 Mbps). Thus, the rise in fixed broadband speeds will lead to more service-oriented applications among end-user industries and is expected to contribute to the growth of data processing facilities in the coming years.
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OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT
- Rise in online shopping and social media users leads to market demand
- Increasing growth of FTTx and Fiber network investments leads to the major market growth
- Increasing initiatives towards 5G development by companies such as MTS, Ericsson and Nokia is boosting the demand for market
Russia Data Center Industry Overview
The Russia Data Center Market is moderately consolidated, with the top five companies occupying 43.40%. The major players in this market are IXELERATE LLC, MTS PJSC (MTS Group), Rostelecom, Selectel Ltd and Yandex.Cloud LLC (sorted alphabetically).
Russia Data Center Market Leaders
IXELERATE LLC
MTS PJSC (MTS Group)
Rostelecom
Selectel Ltd
Yandex.Cloud LLC
Other important companies include 3Data, DataPro, Linxdatacenter, Nekstremum LLC, RackStore, Rosenergoatom, Stack.Net (Stack Group).
*Disclaimer: Major Players sorted in alphabetical order.
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Russia Data Center Market News
- October 2022: DataPro Moscow II, the first data center in Eastern Europe with a Tier-IV integrity level, was opened by the DataPro corporation, an independent operator of data processing facilities in Russia. The new DataPro data center can accommodate 1,600 racks in total. The initial batch of 800 racks is currently in use. By the end of 2020, the second lot of 800 racks will be usable. It will enable DataPro to hold second place in the Russian commercial data-center market with 3,600 racks overall in its data centers.
- September 2022: Yandex plans to construct a brand-new 63MW data center in western Russia's Kaluga Oblast. The brand-new building will be situated in Kaluga's Grabtsevo Industrial Park, around 100 miles south of Moscow. With a 130,000 square meter footprint and 63 MW of power, the new data center can accommodate more than 3,800 server racks with a 15 kW load.
- May 2022: The Russian data center company 3data and the investment firm Alias Group will build a data center in Krasnodar. A new facility will open in the Krasnodar Territory, according to 3data. According to the business, the facility will open around the end of 2023 under a franchise agreement with the investment firm Alias Group.
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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.
Russia 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鈥�
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. Russia
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. Moscow
4.1.2. Rest of Russia
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. 3Data
5.3.2. DataPro
5.3.3. IXELERATE LLC
5.3.4. Linxdatacenter
5.3.5. MTS PJSC (MTS Group)
5.3.6. Nekstremum LLC
5.3.7. RackStore
5.3.8. Rosenergoatom
5.3.9. Rostelecom
5.3.10. Selectel Ltd
5.3.11. Stack.Net (Stack Group)
5.3.12. Yandex.Cloud 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鈥檚 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, RUSSIA, 2017 - 2029
- Figure 2:
- VOLUME OF INSTALLED RACKS, NUMBER, RUSSIA, 2017 - 2029
- Figure 3:
- RACK SPACE UTILIZATION, %, RUSSIA, 2017 - 2029
- Figure 4:
- COUNT OF SMARTPHONE USERS, IN MILLION, RUSSIA, 2017 - 2029
- Figure 5:
- DATA TRAFFIC PER SMARTPHONE, GB, RUSSIA, 2017 - 2029
- Figure 6:
- AVERAGE MOBILE DATA SPEED, MBPS, RUSSIA, 2017 - 2029
- Figure 7:
- AVERAGE BROADBAND SPEED, MBPS, RUSSIA, 2017 - 2029
- Figure 8:
- LENGTH OF FIBER CONNECTIVITY NETWORK, KILOMETER, RUSSIA, 2017 - 2029
- Figure 9:
- VOLUME OF IT LOAD CAPACITY, MW, RUSSIA, 2017 - 2029
- Figure 10:
- VOLUME OF HOTSPOT, MW, RUSSIA, 2017 - 2029
- Figure 11:
- VOLUME SHARE OF HOTSPOT, %, RUSSIA, 2017 - 2029
- Figure 12:
- VOLUME SIZE OF MOSCOW, MW, RUSSIA, 2017 - 2029
- Figure 13:
- VOLUME SHARE OF MOSCOW, MW, HOTSPOT, %, RUSSIA, 2017 - 2029
- Figure 14:
- VOLUME SIZE OF REST OF RUSSIA, MW, RUSSIA, 2017 - 2029
- Figure 15:
- VOLUME SHARE OF REST OF RUSSIA, MW, HOTSPOT, %, RUSSIA, 2017 - 2029
- Figure 16:
- VOLUME OF DATA CENTER SIZE, MW, RUSSIA, 2017 - 2029
- Figure 17:
- VOLUME SHARE OF DATA CENTER SIZE, %, RUSSIA, 2017 - 2029
- Figure 18:
- VOLUME SIZE OF LARGE, MW, RUSSIA, 2017 - 2029
- Figure 19:
- VOLUME SIZE OF MASSIVE, MW, RUSSIA, 2017 - 2029
- Figure 20:
- VOLUME SIZE OF MEDIUM, MW, RUSSIA, 2017 - 2029
- Figure 21:
- VOLUME SIZE OF MEGA, MW, RUSSIA, 2017 - 2029
- Figure 22:
- VOLUME SIZE OF SMALL, MW, RUSSIA, 2017 - 2029
- Figure 23:
- VOLUME OF TIER TYPE, MW, RUSSIA, 2017 - 2029
- Figure 24:
- VOLUME SHARE OF TIER TYPE, %, RUSSIA, 2017 - 2029
- Figure 25:
- VOLUME SIZE OF TIER 1 AND 2, MW, RUSSIA, 2017 - 2029
- Figure 26:
- VOLUME SIZE OF TIER 3, MW, RUSSIA, 2017 - 2029
- Figure 27:
- VOLUME SIZE OF TIER 4, MW, RUSSIA, 2017 - 2029
- Figure 28:
- VOLUME OF ABSORPTION, MW, RUSSIA, 2017 - 2029
- Figure 29:
- VOLUME SHARE OF ABSORPTION, %, RUSSIA, 2017 - 2029
- Figure 30:
- VOLUME SIZE OF NON-UTILIZED, MW, RUSSIA, 2017 - 2029
- Figure 31:
- VOLUME OF COLOCATION TYPE, MW, RUSSIA, 2017 - 2029
- Figure 32:
- VOLUME SHARE OF COLOCATION TYPE, %, RUSSIA, 2017 - 2029
- Figure 33:
- VOLUME SIZE OF HYPERSCALE, MW, RUSSIA, 2017 - 2029
- Figure 34:
- VOLUME SIZE OF RETAIL, MW, RUSSIA, 2017 - 2029
- Figure 35:
- VOLUME SIZE OF WHOLESALE, MW, RUSSIA, 2017 - 2029
- Figure 36:
- VOLUME OF END USER, MW, RUSSIA, 2017 - 2029
- Figure 37:
- VOLUME SHARE OF END USER, %, RUSSIA, 2017 - 2029
- Figure 38:
- VOLUME SIZE OF BFSI, MW, RUSSIA, 2017 - 2029
- Figure 39:
- VOLUME SIZE OF CLOUD, MW, RUSSIA, 2017 - 2029
- Figure 40:
- VOLUME SIZE OF E-COMMERCE, MW, RUSSIA, 2017 - 2029
- Figure 41:
- VOLUME SIZE OF GOVERNMENT, MW, RUSSIA, 2017 - 2029
- Figure 42:
- VOLUME SIZE OF MANUFACTURING, MW, RUSSIA, 2017 - 2029
- Figure 43:
- VOLUME SIZE OF MEDIA & ENTERTAINMENT, MW, RUSSIA, 2017 - 2029
- Figure 44:
- VOLUME SIZE OF TELECOM, MW, RUSSIA, 2017 - 2029
- Figure 45:
- VOLUME SIZE OF OTHER END USER, MW, RUSSIA, 2017 - 2029
- Figure 46:
- VOLUME SHARE OF MAJOR PLAYERS, %, RUSSIA, 2022
Russia Data Center Industry Segmentation
Moscow are covered as segments by Hotspot. Large, Massive, Medium, Mega, Small are covered as segments by Data Center Size. Tier 1 and 2, Tier 3, Tier 4 are covered as segments by Tier Type. Non-Utilized, Utilized are covered as segments by Absorption.
- The tier 3 segment in Russia reached an IT load capacity of 459.63 MW in 2022. They are projected to register a CAGR of 5.63%, surpassing 700.98 MW by 2029. The tier 4 segment is projected to register a CAGR of 32.83% to reach an IT load capacity of 782.78 MW by 2029.
- Tier 1 & 2 facilities are gradually losing their demand, which may continue in the coming years. Tier 1 & 2 facilities are expected to hold a market share of nearly 2.3% by 2029. This minimal growth is likely to be a result of prolonged and inconsistent outages. Most users will eventually switch to tier 3 and 4 facilities, which currently hold 55.6% and 42.1% of the market, respectively, due to the increased demand for storing, processing, and analyzing data.
- The e-commerce and BFSI segments are expanding. In recent years, Russia has seen a rise in the use of online and mobile banking. For instance, the volume of online sales of physical goods in Russia grew 1.5-fold Y-o-Y in the first half of 2022 to 2.2 trillion. In 2020, domestic Russian online sales of physical items reached USD 37 billion, an increase of 58% from 2019.
- Tier 4 data centers are projected to grow significantly in the coming years as more businesses are providing cloud-based services. Therefore, many data center providers are constructing facilities to provide colocation spaces with the best technology.
- The Russian invasion of Ukraine in 2022 boosted the prices of cloud services significantly as major Western manufacturers stopped supplying IT equipment to the Russian market due to logistical issues and the increased value of the Dollar and Euro.
| Hotspot | |
| Moscow | |
| Rest of Russia |
| 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 掳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鈥檚 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: (饾憞饾憸饾憽饾憥饾憴 饾惙饾憥饾憽饾憥 饾惗饾憭饾憶饾憽饾憭饾憻 饾惛饾憶饾憭饾憻饾憯饾懄 饾惗饾憸饾憶饾憼饾憿饾憵饾憹饾憽饾憱饾憸饾憶)/(饾憞饾憸饾憽饾憥饾憴 饾惣饾憞 饾惛饾憺饾憿饾憱饾憹饾憵饾憭饾憶饾憽 饾惛饾憶饾憭饾憻饾憯饾懄 饾惗饾憸饾憶饾憼饾憿饾憵饾憹饾憽饾憱饾憸饾憶). 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 鈮� 5,000 Sq. ft or the number of racks that can be installed is 鈮� 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 鈮� 225,001 Sq. ft or the number of racks that can be installed is 鈮� 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
糖心vlog传媒 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聽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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