China Data Center Market Size
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Study Period | 2017 - 2029 |
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Market Volume (2024) | 2.32 Thousand MW |
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Market Volume (2029) | 3.35 Thousand MW |
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Largest Share by Tier Type | Tier 3 |
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CAGR (2024 - 2029) | 7.64 % |
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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 |
China Data Center Market Analysis
The China Data Center Market size is estimated at 2.32 thousand MW in 2024, and is expected to reach 3.35 thousand MW by 2029, growing at a CAGR of 7.64%. Further, the market is expected to generate colocation revenue of USD 4,293 Million in 2024 and is projected to reach USD 6,204.6 Million by 2029, growing at a CAGR of 7.64% during the forecast period (2024-2029).
USD 4,293.05 Million
Market Size in 2024
USD 6,204.5 Million
Market Size in 2029
44.2%
CAGR (2017-2023)
7.6%
CAGR (2024-2029)
IT Load Capacity
2,317 MW
Value, IT Load Capacity, 2024
The IT load capacity of the Chinese data center market expected to reach a capacity of 3348.8 MW by 2029. Factors such as digital transactions, online gaming, and adoption of smart home automation, witnessed an increase in data consumption.
Total Raised Floor Space
Sq. Ft. 8.30 M
Volume, Raised Floor Space, 2024
The total raised floor area of the country is expected to reach 11.9 million sq. ft by 2029. Space DC Pte Ltd is expected to strengthen its position in the Chinese market with the launch of its 225 MW DC facility in Wuhan by 2024-25.
Installed Racks
414,758
Volume, Installed Racks, 2024
The total number of installed racks is expected to reach 599,433 units by 2029. Hebei is expected to house the maximum number of racks in the coming years.
# of DC Operators & DC Facilities
14 and 157
Volume, DC Facilities, 2024
DC facilities are shifting towards tier 4 standards due to the increasing uptime demand and 24/7 service continuity contracts. Digital Group has the highest number of Tier 4 certified facilities, in terms of IT load capacity.
Leading Market Player
29.5%
Market Share, Space DC Pte Ltd., 2023
Space DC Pte Ltd is a leading player in the Chinese data center market. It is expected to maintain its leading position by expanding its mega data center facilities in Hubei and Guangzhou during the forecast period.
Tier 3 data center accounted for majority share in terms of volume in 2023, Tier 4 is fastest growing segment
- Tier 3 data centers are the most preferred due to features such as on-site assistance, power, and cooling redundancy. The segment is expected to grow from 1,115.1 MW in 2022 to 1,874 MW by 2029 at a CAGR of 5.7%. These data centers are mainly chosen by companies for storing and processing business-critical data to cater to their growing business and scalability needs. There are around 110 Tier 3 data centers in the country, and around 37 upcoming data centers are under construction with Tier 3 specifications.
- Tier 4 data centers are the next most preferred by large businesses due to their performance, lower downtime, and 99.99% uptime. These data centers are relatively costly; however, the performance offered by them outweighs the price and supports the competitive and growing needs of large businesses. In 2022, the country had seven Tier 4 data centers owned by Princeton Digital Group and SpaceDC Pte Ltd.
- Tier 1 & 2 data centers are the least preferred due to their higher downtime durations, power and cooling redundancies, and on-site remote assistance. Since these data centers are relatively cheap compared to Tier 3 and Tier 4, small businesses and startup companies prefer them. Since Tier 1 & 2 data centers are the least preferred, stagnant growth could be seen during the forecast period.
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China Data Center Market Trends
Huawei, Apple, Xiaomi, Oppo, and Vivo offer cheap smartphones with high end features which attracts consumers to spend more these products creating a hige demand in smartphones in the country
- The number of Chinese smartphone users was 950 million in 2022, and the figure is expected to reach 1.8 billion by the end of the forecast period (2023-2029), registering a CAGR of 10.2%. The spread of 4G and 5G connectivity across the country has improved mobile communication, making smartphones a basic necessity for people.
- Chinese smartphone companies are offering affordable smartphones with high-end features, leading to an increase in smartphone users in the country. Around 50% of users replace their phones every 12-18 months, making companies innovate their phones frequently. Currently, the major market players are Huawei, Apple, Xiaomi, Oppo, and Vivo.
- This increase in smartphone users has positively impacted the growth of the data center market in the country. During the study period, when the number of smartphone users increased fivefold, the number of racks in data centers increased from around 70k in 2017 to 280k in 2021. This trend is expected to be witnessed during the forecast period as well.
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Chinese government's "Broadband China Strategy coupled with increased fiber connectivity, boost the data centers in the country
- The Chinese government's "Broadband China Strategy," drafted in 2013 and implemented in 2015, is accredited for spreading broadband connectivity across the country, primarily in remote locations. In 2021, under this strategy, the broadband speed reached 100 Mbps for residential use in cities and 20 Mbps in rural regions. On the other hand, the broadband speed for commercial/industrial use increased from an average speed of 100 Mbps in 2015 to 1 Gbps in 2021. With further expansion of the fiber connectivity network, average speeds are estimated to rise significantly in the coming years.
- In order to provide high data speeds, the Chinese market increased the distance of laying fiber optic cables over the years. The deployment of optic fiber cable networks in the country registered a CAGR of 8.5% during 2017-2022. The deployment of fiber optic cables spurred last-mile internet connectivity in the country. As these cables offer better connectivity and higher bandwidths, most companies replaced them with traditional copper cables to offer better and upgraded services.
- Stable broadband speed, predominantly via fiber cables, is crucial for the expansion of data centers and their communication with other data centers and internet exchanges (IX). It has become common for companies to store their business's critical data in the cloud, colocation, and in-house. Within these storage locations, various services are provided to their customers across different servers. With the increase in the number of points of communication, it becomes critical to keep communication as fast as possible. Therefore, strong broadband connectivity across the country is expected to support the data centers to maintain 100% uptime during the forecast period.
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OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT
- Increasing usage of OTT subscriptions and mobile gaming along with social media penetration increases the data center market
- Implementation of national FTTH standards across the country, increases the data center demand in China
- Increase in the penetration rate of the 5G network in the country, drives the data center market
China Data Center Industry Overview
The China Data Center Market is fragmented, with the top five companies occupying 22.39%. The major players in this market are China Telecom Corporation Ltd, Equinix Inc., GLP Pte Limited, Keppel DC REIT Management Pte. Ltd and Princeton Digital Group (sorted alphabetically).
China Data Center Market Leaders
China Telecom Corporation Ltd
Equinix Inc.
GLP Pte Limited
Keppel DC REIT Management Pte. Ltd
Princeton Digital Group
Other important companies include BDx Data Center Pte. Ltd, Chayora Ltd, Chindata Group Holdings Ltd, GDS Service Co. Ltd, Space DC Pte Ltd, Telehouse (KDDI Corporation), Zenlayer Inc..
*Disclaimer: Major Players sorted in alphabetical order.
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China Data Center Market News
- December 2022: Edgeconnex has entered into strategic partnership with Chayora Ltd for providing its services in China.
- September 2022: Chindata Group Holdings Ltd has recently acquired green energy of 100 million Kwh by participating in China nationwide green energy transcation. This would help the company reduce carbon emissions by 94000 tons.
- June 2022: Keppel Data centers Pte Ltd has acquired two data centres in Jiangmen, and Guangdong from Guangdong Bluesea development Co. Ltd.
Free with this Report
We provide a complimentary and exhaustive set of data points on the country and regional level metrics that present the fundamental structure of the industry. Presented in the form of 50+ free charts, the sections cover difficult to find data on various countries on smartphone users, data traffic per smartphone, mobile and broadband data speed, fiber connectivity network, and submarine cables.
China 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 China
- 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 Beijing
- 6.1.2 Guangdong
- 6.1.3 Hebei
- 6.1.4 Jiangsu
- 6.1.5 Shanghai
- 6.1.6 Rest of China
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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 BDx Data Center Pte. Ltd
- 7.3.2 Chayora Ltd
- 7.3.3 China Telecom Corporation Ltd
- 7.3.4 Chindata Group Holdings Ltd
- 7.3.5 Equinix Inc.
- 7.3.6 GDS Service Co. Ltd
- 7.3.7 GLP Pte Limited
- 7.3.8 Keppel DC REIT Management Pte. Ltd
- 7.3.9 Princeton Digital Group
- 7.3.10 Space DC Pte Ltd
- 7.3.11 Telehouse (KDDI Corporation)
- 7.3.12 Zenlayer Inc.
- 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, CHINA, 2017 - 2029
- Figure 2:
- VOLUME OF RAISED FLOOR AREA, SQ.FT. ('000), CHINA, 2017 - 2029
- Figure 3:
- VALUE OF COLOCATION REVENUE, USD MILLION, CHINA, 2017 - 2029
- Figure 4:
- VOLUME OF INSTALLED RACKS, NUMBER, CHINA, 2017 - 2029
- Figure 5:
- RACK SPACE UTILIZATION, %, CHINA, 2017 - 2029
- Figure 6:
- COUNT OF SMARTPHONE USERS, IN MILLION, CHINA, 2017 - 2029
- Figure 7:
- DATA TRAFFIC PER SMARTPHONE, GB, CHINA, 2017 - 2029
- Figure 8:
- AVERAGE MOBILE DATA SPEED, MBPS, CHINA, 2017 - 2029
- Figure 9:
- AVERAGE BROADBAND SPEED, MBPS, CHINA, 2017 - 2029
- Figure 10:
- LENGTH OF FIBER CONNECTIVITY NETWORK, KILOMETER, CHINA, 2017 - 2029
- Figure 11:
- VOLUME OF IT LOAD CAPACITY, MW, CHINA, 2017 - 2029
- Figure 12:
- VOLUME OF HOTSPOT, MW, CHINA, 2017 - 2029
- Figure 13:
- VOLUME SHARE OF HOTSPOT, %, CHINA, 2017 - 2029
- Figure 14:
- VOLUME SIZE OF BEIJING, MW, CHINA, 2017 - 2029
- Figure 15:
- VOLUME SHARE OF BEIJING, MW, HOTSPOT, %, CHINA, 2017 - 2029
- Figure 16:
- VOLUME SIZE OF GUANGDONG, MW, CHINA, 2017 - 2029
- Figure 17:
- VOLUME SHARE OF GUANGDONG, MW, HOTSPOT, %, CHINA, 2017 - 2029
- Figure 18:
- VOLUME SIZE OF HEBEI, MW, CHINA, 2017 - 2029
- Figure 19:
- VOLUME SHARE OF HEBEI, MW, HOTSPOT, %, CHINA, 2017 - 2029
- Figure 20:
- VOLUME SIZE OF JIANGSU, MW, CHINA, 2017 - 2029
- Figure 21:
- VOLUME SHARE OF JIANGSU, MW, HOTSPOT, %, CHINA, 2017 - 2029
- Figure 22:
- VOLUME SIZE OF SHANGHAI, MW, CHINA, 2017 - 2029
- Figure 23:
- VOLUME SHARE OF SHANGHAI, MW, HOTSPOT, %, CHINA, 2017 - 2029
- Figure 24:
- VOLUME SIZE OF REST OF CHINA, MW, CHINA, 2017 - 2029
- Figure 25:
- VOLUME SHARE OF REST OF CHINA, MW, HOTSPOT, %, CHINA, 2017 - 2029
- Figure 26:
- VOLUME OF DATA CENTER SIZE, MW, CHINA, 2017 - 2029
- Figure 27:
- VOLUME SHARE OF DATA CENTER SIZE, %, CHINA, 2017 - 2029
- Figure 28:
- VOLUME SIZE OF LARGE, MW, CHINA, 2017 - 2029
- Figure 29:
- VOLUME SIZE OF MASSIVE, MW, CHINA, 2017 - 2029
- Figure 30:
- VOLUME SIZE OF MEDIUM, MW, CHINA, 2017 - 2029
- Figure 31:
- VOLUME SIZE OF MEGA, MW, CHINA, 2017 - 2029
- Figure 32:
- VOLUME SIZE OF SMALL, MW, CHINA, 2017 - 2029
- Figure 33:
- VOLUME OF TIER TYPE, MW, CHINA, 2017 - 2029
- Figure 34:
- VOLUME SHARE OF TIER TYPE, %, CHINA, 2017 - 2029
- Figure 35:
- VOLUME SIZE OF TIER 1 AND 2, MW, CHINA, 2017 - 2029
- Figure 36:
- VOLUME SIZE OF TIER 3, MW, CHINA, 2017 - 2029
- Figure 37:
- VOLUME SIZE OF TIER 4, MW, CHINA, 2017 - 2029
- Figure 38:
- VOLUME OF ABSORPTION, MW, CHINA, 2017 - 2029
- Figure 39:
- VOLUME SHARE OF ABSORPTION, %, CHINA, 2017 - 2029
- Figure 40:
- VOLUME SIZE OF NON-UTILIZED, MW, CHINA, 2017 - 2029
- Figure 41:
- VOLUME OF COLOCATION TYPE, MW, CHINA, 2017 - 2029
- Figure 42:
- VOLUME SHARE OF COLOCATION TYPE, %, CHINA, 2017 - 2029
- Figure 43:
- VOLUME SIZE OF HYPERSCALE, MW, CHINA, 2017 - 2029
- Figure 44:
- VOLUME SIZE OF RETAIL, MW, CHINA, 2017 - 2029
- Figure 45:
- VOLUME SIZE OF WHOLESALE, MW, CHINA, 2017 - 2029
- Figure 46:
- VOLUME OF END USER, MW, CHINA, 2017 - 2029
- Figure 47:
- VOLUME SHARE OF END USER, %, CHINA, 2017 - 2029
- Figure 48:
- VOLUME SIZE OF BFSI, MW, CHINA, 2017 - 2029
- Figure 49:
- VOLUME SIZE OF CLOUD, MW, CHINA, 2017 - 2029
- Figure 50:
- VOLUME SIZE OF E-COMMERCE, MW, CHINA, 2017 - 2029
- Figure 51:
- VOLUME SIZE OF GOVERNMENT, MW, CHINA, 2017 - 2029
- Figure 52:
- VOLUME SIZE OF MANUFACTURING, MW, CHINA, 2017 - 2029
- Figure 53:
- VOLUME SIZE OF MEDIA & ENTERTAINMENT, MW, CHINA, 2017 - 2029
- Figure 54:
- VOLUME SIZE OF TELECOM, MW, CHINA, 2017 - 2029
- Figure 55:
- VOLUME SIZE OF OTHER END USER, MW, CHINA, 2017 - 2029
- Figure 56:
- VOLUME SHARE OF MAJOR PLAYERS, %, CHINA, 2022
China Data Center Industry Segmentation
Beijing, Guangdong, Hebei, Jiangsu, Shanghai 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.
- Tier 3 data centers are the most preferred due to features such as on-site assistance, power, and cooling redundancy. The segment is expected to grow from 1,115.1 MW in 2022 to 1,874 MW by 2029 at a CAGR of 5.7%. These data centers are mainly chosen by companies for storing and processing business-critical data to cater to their growing business and scalability needs. There are around 110 Tier 3 data centers in the country, and around 37 upcoming data centers are under construction with Tier 3 specifications.
- Tier 4 data centers are the next most preferred by large businesses due to their performance, lower downtime, and 99.99% uptime. These data centers are relatively costly; however, the performance offered by them outweighs the price and supports the competitive and growing needs of large businesses. In 2022, the country had seven Tier 4 data centers owned by Princeton Digital Group and SpaceDC Pte Ltd.
- Tier 1 & 2 data centers are the least preferred due to their higher downtime durations, power and cooling redundancies, and on-site remote assistance. Since these data centers are relatively cheap compared to Tier 3 and Tier 4, small businesses and startup companies prefer them. Since Tier 1 & 2 data centers are the least preferred, stagnant growth could be seen during the forecast period.
| Hotspot | Beijing | ||
| Guangdong | |||
| Hebei | |||
| Jiangsu | |||
| Shanghai | |||
| Rest of China | |||
| 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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