Singapore Data Center Market Size
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Study Period | 2017 - 2029 |
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Market Volume (2024) | 0.88 Thousand MW |
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Market Volume (2029) | 1.02 Thousand MW |
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Largest Share by Tier Type | Tier 3 |
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CAGR (2024 - 2029) | 2.89 % |
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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 |
Singapore Data Center Market Analysis
The Singapore Data Center Market size is estimated at 0.88 thousand MW in 2024, and is expected to reach 1.02 thousand MW by 2029, growing at a CAGR of 2.89%. Further, the market is expected to generate colocation revenue of USD 4,036.2 Million in 2024 and is projected to reach USD 7,748.8 Million by 2029, growing at a CAGR of 13.93% during the forecast period (2024-2029).
USD 4,036.24 Million
Market Size in 2024
USD 7,748.8 Million
Market Size in 2029
18.1%
CAGR (2017-2023)
13.9%
CAGR (2024-2029)
IT Load Capacity
881 MW
Value, IT Load Capacity, 2024
The IT load capacity of the data center market will grow steadily and is expected to reach 1,016 MW by 2029. Adoption in smart city projects such as video monitoring program and investment by companies would increase DC facilities.
Total Raised Floor Space
Sq. Ft. 2.83 M
Volume, Raised Floor Space, 2024
The total raised floor space in the country is expected to reach 3.3 million sq. ft by 2029. The inclusion of 5G in the country has led to an increase in the consumption of data, would triggered the growth of data centers in the country.
Installed Racks
141,966
Volume, Installed Racks, 2024
The total number of installed racks is expected to reach 165,468 by 2029. West Singapore is expected to house the maximum number of racks over the years.
# of DC Operators & DC Facilities
28 and 46
Volume, DC Facilities, 2024
There are 46 colocation data center facilities in Singapore. The rising demand for more eco-friendly data processing facilities and revised regulatory norms will oversee a controlled expansion of the market studied.
Leading Market Player
12.4%
Market Share, STT GDC Pte Ltd, 2023
STT GDC Pte Ltd is the leading player in the Indonesian data center market and is further poised to continue its leadership by rolling out a massive data center with 33 MW capacity during the forecast period.
Tier 3 holds the majority market share in 2023, Tier 4 is the fastest growing data center
- The tier 3 and 4 segments are expected to hold the highest market share during the forecast period. The tier 3 segment is expected to hold the highest market share of 71.5% in 2023. However, its share may decrease marginally to 61.4% in 2029 due to the upcoming tier 4 data centers.
- The tier 3 segment is expected to record a CAGR of 0.43% during the forecast period, majorly due to the upcoming data centers from Keppel Data Center and STT GDC Pte Ltd, which plan to launch three facilities with a cumulative IT load capacity of 90 MW.
- The tier 1 & 2 segment is expected to record a CAGR of 1.88% during the forecast period, with a market share of 12.1% by 2029. The growth trend is majorly due to the upcoming data centers from NTT Ltd, which plans to launch one facility with an IT load capacity of 5 MW.
- Both the tier 1 & 2 and tier 3 segments may witness a dip in their market share due to the growth of the tier 4 segment, with a CAGR of 12.69% and an IT load capacity of 269.65 MW during the forecast period.
- In Singapore, 7% of total electricity consumption goes to data centers, which may grow to more than 12% by 2030. As a result, the country aims to efficiently use data centers by equipping them with modern infrastructure and cooling techniques. Operators are considering investing in more efficient cooling solutions, such as district cooling, and greener options for powering data centers, such as engaging in Power Purchase Agreements (PPAs). Tier 4-certified facilities may help operators achieve these standards, thus boosting the segment's growth.
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Singapore Data Center Market Trends
Growing application of connected devices and smart homes to boost the market demand
- The country has a smaller population compared to other Southeast Asian countries, owing to which the number of smartphone users is comparatively lesser than the rest.
- The country is expected to grow significantly and reach 6.21 million users by 2029, from 5.4 million users in 2022.
- According to Hootsuite, the country has a 100% urbanized population with 8.7 million cellular mobile connections, accounting for 147% of the population. This data suggests that each citizen in the country owns more than one cellular device. The growing application of connected devices and smart homes also boosted the demand for digital data and increased network traffic. Such factors are anticipated to increase the number of smartphone users in the country.
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Singtel's expanding 5G network in partnership with Ericsson boost the data center demand
- Singapore was one of the early adopters of the 5G network in 2020, while the presence of 2G was decommissioned as early as 2016. As of 2022, 4G dominated the market with 49.7 Mbps, while its speed is expected to reach 54.75 Mbps by 2029.
- The country's 5G network is booming and is expected to reach 946.04 Mbps by 2029. 5G networks and services are expected to form the backbone of growth in the telecom sector over the coming years as service providers seek new ways to engage customers in a market that is otherwise already saturated.
- Singtel is ramping up its 5G standalone (SA) deployment in Singapore by expanding the network and developing new 5G use cases in partnership with Ericsson. In a press release, the Swedish vendor stated its plans to power Singtel’s 5G SA network with 5G radio access products and cloud-native dual-mode 5G Core network solutions. In September 2021, Singtel confirmed that its 5G network covers over two-thirds of Singapore. New 5G sites were added in densely populated areas like Choa Chu Kang, Punggol, Sembawang, and Tampines.
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OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT
- 13.3 GB per month and growing would drive the data centers market
- Growing demand for the bandwidth, FTTH penetration, and Government initivatives to develop fiber Deployment drives the growth of the market
- Transition to Fiber and roll out of fiber optic cables nationwide trends boost the market demand
Singapore Data Center Industry Overview
The Singapore Data Center Market is fragmented, with the top five companies occupying 29.81%. The major players in this market are China Mobile International Ltd, Cyxtera Technologies, Digital Realty Trust Inc., Equinix Inc. and Rackspace Technology Inc. (sorted alphabetically).
Singapore Data Center Market Leaders
China Mobile International Ltd
Cyxtera Technologies
Digital Realty Trust Inc.
Equinix Inc.
Rackspace Technology Inc.
Other important companies include 1-Net Singapore Pte Ltd (Mediacorp), Air Trunk Operating Pty Ltd, Empyrion DC, Global Switch Holdings Limited, PhoenixNAP, Princeton Digital Group, STT GDC Pte Ltd.
*Disclaimer: Major Players sorted in alphabetical order.
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Singapore Data Center Market News
- November 2022: AirTrunk completed the final phase of SGP1 data center expanding the total capacity of the data center to more than 78 MW to deploy hyperscale capacity at at unprecedented speed and scale.
- September 2022: Equinix, Inc. announced a partnership with the Centre for Energy Research & Technology (CERT) under the National University of Singapore's (NUS) College of Design and Engineering to explore technologies that enable the use of hydrogen as a green fuel source for mission-critical data center infrastructure.
- June 2022: phoenixNAP announced that it has entered into a partnership with Pliops, a leading provider of data processors for cloud and enterprise data centers. Through this collaboration, phoenixNAP will delivers on-demand cloud services that meet the needs of performance-sensitive users.
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.
Singapore 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 Singapore
- 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 East Singapore
- 6.1.2 West Singapore
- 6.1.3 Rest of Singapore
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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 1-Net Singapore Pte Ltd (Mediacorp)
- 7.3.2 Air Trunk Operating Pty Ltd
- 7.3.3 China Mobile International Ltd
- 7.3.4 Cyxtera Technologies
- 7.3.5 Digital Realty Trust Inc.
- 7.3.6 Empyrion DC
- 7.3.7 Equinix Inc.
- 7.3.8 Global Switch Holdings Limited
- 7.3.9 PhoenixNAP
- 7.3.10 Princeton Digital Group
- 7.3.11 Rackspace Technology Inc.
- 7.3.12 STT GDC Pte Ltd
- 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, SINGAPORE, 2017 - 2029
- Figure 2:
- VOLUME OF RAISED FLOOR AREA, SQ.FT. ('000), SINGAPORE, 2017 - 2029
- Figure 3:
- VALUE OF COLOCATION REVENUE, USD MILLION, SINGAPORE, 2017 - 2029
- Figure 4:
- VOLUME OF INSTALLED RACKS, NUMBER, SINGAPORE, 2017 - 2029
- Figure 5:
- RACK SPACE UTILIZATION, %, SINGAPORE, 2017 - 2029
- Figure 6:
- COUNT OF SMARTPHONE USERS, IN MILLION, SINGAPORE, 2017 - 2029
- Figure 7:
- DATA TRAFFIC PER SMARTPHONE, GB, SINGAPORE, 2017 - 2029
- Figure 8:
- AVERAGE MOBILE DATA SPEED, MBPS, SINGAPORE, 2017 - 2029
- Figure 9:
- AVERAGE BROADBAND SPEED, MBPS, SINGAPORE, 2017 - 2029
- Figure 10:
- LENGTH OF FIBER CONNECTIVITY NETWORK, KILOMETER, SINGAPORE, 2017 - 2029
- Figure 11:
- VOLUME OF IT LOAD CAPACITY, MW, SINGAPORE, 2017 - 2029
- Figure 12:
- VOLUME OF HOTSPOT, MW, SINGAPORE, 2017 - 2029
- Figure 13:
- VOLUME SHARE OF HOTSPOT, %, SINGAPORE, 2017 - 2029
- Figure 14:
- VOLUME SIZE OF EAST SINGAPORE, MW, SINGAPORE, 2017 - 2029
- Figure 15:
- VOLUME SHARE OF EAST SINGAPORE, MW, HOTSPOT, %, SINGAPORE, 2017 - 2029
- Figure 16:
- VOLUME SIZE OF WEST SINGAPORE, MW, SINGAPORE, 2017 - 2029
- Figure 17:
- VOLUME SHARE OF WEST SINGAPORE, MW, HOTSPOT, %, SINGAPORE, 2017 - 2029
- Figure 18:
- VOLUME SIZE OF REST OF SINGAPORE, MW, SINGAPORE, 2017 - 2029
- Figure 19:
- VOLUME SHARE OF REST OF SINGAPORE, MW, HOTSPOT, %, SINGAPORE, 2017 - 2029
- Figure 20:
- VOLUME OF DATA CENTER SIZE, MW, SINGAPORE, 2017 - 2029
- Figure 21:
- VOLUME SHARE OF DATA CENTER SIZE, %, SINGAPORE, 2017 - 2029
- Figure 22:
- VOLUME SIZE OF LARGE, MW, SINGAPORE, 2017 - 2029
- Figure 23:
- VOLUME SIZE OF MASSIVE, MW, SINGAPORE, 2017 - 2029
- Figure 24:
- VOLUME SIZE OF MEDIUM, MW, SINGAPORE, 2017 - 2029
- Figure 25:
- VOLUME SIZE OF MEGA, MW, SINGAPORE, 2017 - 2029
- Figure 26:
- VOLUME SIZE OF SMALL, MW, SINGAPORE, 2017 - 2029
- Figure 27:
- VOLUME OF TIER TYPE, MW, SINGAPORE, 2017 - 2029
- Figure 28:
- VOLUME SHARE OF TIER TYPE, %, SINGAPORE, 2017 - 2029
- Figure 29:
- VOLUME SIZE OF TIER 1 AND 2, MW, SINGAPORE, 2017 - 2029
- Figure 30:
- VOLUME SIZE OF TIER 3, MW, SINGAPORE, 2017 - 2029
- Figure 31:
- VOLUME SIZE OF TIER 4, MW, SINGAPORE, 2017 - 2029
- Figure 32:
- VOLUME OF ABSORPTION, MW, SINGAPORE, 2017 - 2029
- Figure 33:
- VOLUME SHARE OF ABSORPTION, %, SINGAPORE, 2017 - 2029
- Figure 34:
- VOLUME SIZE OF NON-UTILIZED, MW, SINGAPORE, 2017 - 2029
- Figure 35:
- VOLUME OF COLOCATION TYPE, MW, SINGAPORE, 2017 - 2029
- Figure 36:
- VOLUME SHARE OF COLOCATION TYPE, %, SINGAPORE, 2017 - 2029
- Figure 37:
- VOLUME SIZE OF HYPERSCALE, MW, SINGAPORE, 2017 - 2029
- Figure 38:
- VOLUME SIZE OF RETAIL, MW, SINGAPORE, 2017 - 2029
- Figure 39:
- VOLUME SIZE OF WHOLESALE, MW, SINGAPORE, 2017 - 2029
- Figure 40:
- VOLUME OF END USER, MW, SINGAPORE, 2017 - 2029
- Figure 41:
- VOLUME SHARE OF END USER, %, SINGAPORE, 2017 - 2029
- Figure 42:
- VOLUME SIZE OF BFSI, MW, SINGAPORE, 2017 - 2029
- Figure 43:
- VOLUME SIZE OF CLOUD, MW, SINGAPORE, 2017 - 2029
- Figure 44:
- VOLUME SIZE OF E-COMMERCE, MW, SINGAPORE, 2017 - 2029
- Figure 45:
- VOLUME SIZE OF GOVERNMENT, MW, SINGAPORE, 2017 - 2029
- Figure 46:
- VOLUME SIZE OF MANUFACTURING, MW, SINGAPORE, 2017 - 2029
- Figure 47:
- VOLUME SIZE OF MEDIA & ENTERTAINMENT, MW, SINGAPORE, 2017 - 2029
- Figure 48:
- VOLUME SIZE OF TELECOM, MW, SINGAPORE, 2017 - 2029
- Figure 49:
- VOLUME SIZE OF OTHER END USER, MW, SINGAPORE, 2017 - 2029
- Figure 50:
- VOLUME SHARE OF MAJOR PLAYERS, %, SINGAPORE, 2022
Singapore Data Center Industry Segmentation
East Singapore, West Singapore 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 and 4 segments are expected to hold the highest market share during the forecast period. The tier 3 segment is expected to hold the highest market share of 71.5% in 2023. However, its share may decrease marginally to 61.4% in 2029 due to the upcoming tier 4 data centers.
- The tier 3 segment is expected to record a CAGR of 0.43% during the forecast period, majorly due to the upcoming data centers from Keppel Data Center and STT GDC Pte Ltd, which plan to launch three facilities with a cumulative IT load capacity of 90 MW.
- The tier 1 & 2 segment is expected to record a CAGR of 1.88% during the forecast period, with a market share of 12.1% by 2029. The growth trend is majorly due to the upcoming data centers from NTT Ltd, which plans to launch one facility with an IT load capacity of 5 MW.
- Both the tier 1 & 2 and tier 3 segments may witness a dip in their market share due to the growth of the tier 4 segment, with a CAGR of 12.69% and an IT load capacity of 269.65 MW during the forecast period.
- In Singapore, 7% of total electricity consumption goes to data centers, which may grow to more than 12% by 2030. As a result, the country aims to efficiently use data centers by equipping them with modern infrastructure and cooling techniques. Operators are considering investing in more efficient cooling solutions, such as district cooling, and greener options for powering data centers, such as engaging in Power Purchase Agreements (PPAs). Tier 4-certified facilities may help operators achieve these standards, thus boosting the segment's growth.
| Hotspot | East Singapore | ||
| West Singapore | |||
| Rest of Singapore | |||
| 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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