Thailand Data Center Market Size
| Icons | Lable | Value |
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Study Period | 2017 - 2029 |
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Market Volume (2024) | 200.07 MW |
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Market Volume (2029) | 269.90 MW |
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Largest Share by Tier Type | Tier 3 |
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CAGR (2024 - 2029) | 6.17 % |
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Fastest Growing by Tier Type | Tier 3 |
Major Players |
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*Disclaimer: Major Players sorted in alphabetical order. |
Thailand Data Center Market Analysis
The Thailand Data Center Market size is estimated at 200.07 MW in 2024, and is expected to reach 269.90 MW by 2029, growing at a CAGR of 6.17% during the forecast period (2024-2029).
USD 277.11 Million
Market Size in 2024
USD 308.4 Million
Market Size in 2029
14.4%
CAGR (2017-2023)
2.2%
CAGR (2024-2029)
IT Load Capacity
200.1 MW
Value, IT Load Capacity, 2024
Thailand shows a strong level of digital readiness with a high penetration rate for internet usage, social media engagement, mobile connections, online shopping, and digital payments, which would increase IT load capacity.
Total Raised Floor Space
Sq. Ft. 0.62 M
Volume, Raised Floor Space, 2024
Cloud, telecom, and BFSI are the top three end-user segments, creating more need for data storage space. In Malaysia, mobile subscriptions are more than 50 million in 2024.
Installed Racks
31,400
Volume, Installed Racks, 2024
Bangkok holds a major share, and with its strategic location in the center of ASEAN markets, it is well-positioned to connect investors to new opportunities arising from the increasing border trade, creating more need for installed racks.
# of DC Operators & DC Facilities
21 and 42
Volume, DC Facilities, 2024
The occupancy rate of data center facilities is expected to increase from 85% in 2023 to 88% by 2029, which will improve operating costs. Tier 3 DC facilities holds the highest market share and is fastest growing category in the country.
Leading Market Player
15%
Market Share, STT GDC Pte Ltd, 2023
STT GDC Pte Ltd leads the market and is further building to support the growing demand for digital infrastructure due to the rising consumption of rich media and the digital transformation of business and government enterprises.
Tier 3 DC facilities dominates the market share in the region and is expected to dominate in coming years
- The country has no facility certified with Tier 1 and Tier 2. The tier 3 data center segment reached an IT load capacity of 71.48 MW in 2021. The capacity is anticipated to grow from 74.33 MW in 2022 to 199.55 MW by 2029 at a CAGR of 15.15%. The tier 4 data center segment reached an IT load capacity of 20 MW in 2021. The capacity is anticipated to grow from 20 MW in 2022 to 50 MW by 2029 at a CAGR of 13.99%.
- In most Thai facilities, IT components can be replaced or removed without interrupting routine data center operations, so most facilities are Tier 3 certified.
- Currently, only one facility in Thailand has Tier 4 certification, i.e., SUPERNAP Thailand. It has a high fault-tolerant facility, which is ideal for consistently high traffic levels. National Telecom (NT), TOT, and SUPERNAP (Thailand) signed an MOU supporting governmental digital modernization, which is called the Data Center and Cloud Services Partnership Program.
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Thailand Data Center Market Trends
Increasing number of digital consumers boost the data center demand in country
- The total number of smartphone users in the country was 57 million in 2022, which is expected to increase and register a CAGR of 0.83% during the forecast period to reach 60.2 million by 2029.
- Thailand shows a strong level of digital readiness with a high penetration rate for internet usage, social media engagement, mobile connections, online shopping, and digital payments, according to the "Digital 2022: Thailand." An increase in domestic e-commerce merchants also promotes sales growth. Cross-border spending is half (50%) of Thailand's total e-commerce spend. The Thai mobile commerce market is already the dominant e-commerce sales channel in the country, used for 52% of all online shopping transactions and worth USD 13.6 billion. This makes the country one of the regional forerunners for mobile commerce.
- Thailand was expected to end 2022 with a 5G coverage of over 85% of the country's population. With newer partnerships and development, the usage of 5G in smartphones is increasing. For instance, in July 2022, Ericsson and the King Mongkut University of Technology Thonburi (KMUTT) announced a partnership to support Thai students in building 5G ICT skills for the future. As the pioneer in launching 5G commercial service in Southeast Asia, Thailand is well positioned to develop its ambitious Industry 4.0 wireless ecosystem to enhance the consumer mobile experience and support the digitization of its manufacturing, energy, and healthcare industries.
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The increasing investments for the expansion of 5G network by Operators drives the growth of the market
- Thailand has one of the highest penetration rates of 5G in the ASEAN region, with 9.2%, only behind Singapore, with 13.9%. Thailand's 5G subscriptions are expected to reach 70 million by 2027, or 73% of the total subscriptions in mobile services, according to Digital Economy and Society (DES).
- Thailand was one of the first markets to launch 5G in the Asia-Pacific region, with AIS and TrueMove H both launching commercial 5G services during Q1 2020. Driving 5G adoption in the market is one of the primary objectives for AIS and TrueMove H, and each had targeted 2 million 5G connections by the end of 2021. In 2021, users saw the fastest average overall and 5G download speeds on AIS' network. The operator won overall Download Speed Experience with a score of 19.4 Mbps, 1.7 Mbps (9.7%) ahead of second-placed TrueMove H. AIS also won the 5G Download Speed Experience award, clocking in at 180.3 Mbps and commanding a major lead of 57.4 Mbps (46.7%) over the runner-up TrueMove H. DTAC lagged behind its rivals.
- OpenGov Asia recently reported that the Thai Ministry of Digital Economy and Society (MDES), Digital Economy Promotion Agency (DEPA), and a Chinese multinational technology company announced the launch of the Thailand 5G Ecosystem Innovation Center (5G EIC) in Bangkok. This launch aims to accelerate 5G innovation through ecosystem collaboration and boost the digital economy. The rise of data centers in the nation is facilitated by the rising mobile internet speeds, which directly impacts data traffic and raises the demand for more racks.
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OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT
- Growing number of smartphone users, digitalization of different services, and increasing digital payments across the country boosts the market growth
- The increasing investments in fiber infrastructre improvements across the nation drives the market growth
- The increasing fiber infrastructre across the country drives the market growth
Thailand Data Center Industry Overview
The Thailand Data Center Market is moderately consolidated, with the top five companies occupying 40.98%. The major players in this market are CS LOXINFO PUBLIC COMPANY LIMITED, NTT Ltd., STT GDC Pte Ltd, True Internet Data Center Co. Ltd and United Information Highway Co., Ltd. (sorted alphabetically).
Thailand Data Center Market Leaders
CS LOXINFO PUBLIC COMPANY LIMITED
NTT Ltd.
STT GDC Pte Ltd
True Internet Data Center Co. Ltd
United Information Highway Co., Ltd.
Other important companies include AIMS DATA CENTRE (THAILAND) LTD, Internet Thailand Public Company Limited, ISPIO (NIPA Technology Co. ltd), JasTel Network Co.,Ltd, Proen Proimage Engineering & Communication, SUPERNAP (THAILAND) COMPANY LIMITED, TCC Technology.
*Disclaimer: Major Players sorted in alphabetical order.
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Thailand Data Center Market News
- April 2022: SUPERNAP (Thailand) signs PPA with WHA Utilities & Power to power its hyperscale data center.In line with the company’s policy to help save the planet, reduce global warming and greenhouse effect, the project will also help SUPERNAP (Thailand), and its clients, to reduce electricity costs significantly throughout the system’s life, while offsetting 18,250 tons of CO2 emission to the environment.
- November 2021: True Internet Data Center Co., Ltd. announced to expand its services both in Thailand and overseas countries. True IDC-East Bangna expansion will be the second building of the total of 4 planned buildings. It will also be equipped with a data center system. With the first phase being completed in 2019, the second phase will be ready for service in 2022. The rest of the expansion will be continued until all of the 4 phases are completed through the total investment of THB 3,000 million.
- September 2021: ST Telemedia Global Data Centres announced the official opening of STT Bangkok 1, the first carrier-neutral hyperscale data centre in Bangkok built to global standards. It is both hyperscale-ready and carrier-neutral.
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.
Thailand 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. Thailand
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. Bangkok
4.1.2. Rest of Thailand
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. AIMS DATA CENTRE (THAILAND) LTD
5.3.2. CS LOXINFO PUBLIC COMPANY LIMITED
5.3.3. Internet Thailand Public Company Limited
5.3.4. ISPIO (NIPA Technology Co. ltd)
5.3.5. JasTel Network Co.,Ltd
5.3.6. NTT Ltd.
5.3.7. Proen Proimage Engineering & Communication
5.3.8. STT GDC Pte Ltd
5.3.9. SUPERNAP (THAILAND) COMPANY LIMITED
5.3.10. TCC Technology
5.3.11. True Internet Data Center Co. Ltd
5.3.12. United Information Highway Co., Ltd.
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, THAILAND, 2017 - 2029
- Figure 2:
- VOLUME OF RAISED FLOOR AREA, SQ.FT. ('000), THAILAND, 2017 - 2029
- Figure 3:
- VALUE OF COLOCATION REVENUE, USD MILLION, THAILAND, 2017 - 2029
- Figure 4:
- VOLUME OF INSTALLED RACKS, NUMBER, THAILAND, 2017 - 2029
- Figure 5:
- RACK SPACE UTILIZATION, %, THAILAND, 2017 - 2029
- Figure 6:
- COUNT OF SMARTPHONE USERS, NUMBER, THAILAND, 2017 - 2029
- Figure 7:
- DATA TRAFFIC PER SMARTPHONE, GB, THAILAND, 2017 - 2029
- Figure 8:
- AVERAGE MOBILE DATA SPEED, MBPS, THAILAND, 2017 - 2029
- Figure 9:
- AVERAGE BROADBAND SPEED, MBPS, THAILAND, 2017 - 2029
- Figure 10:
- LENGTH OF FIBER CONNECTIVITY NETWORK, KILOMETER, THAILAND, 2017 - 2029
- Figure 11:
- VOLUME OF IT LOAD CAPACITY, MW, THAILAND, 2017 - 2029
- Figure 12:
- VOLUME OF HOTSPOT, MW, THAILAND, 2017 - 2029
- Figure 13:
- VOLUME SHARE OF HOTSPOT, %, THAILAND, 2017 - 2029
- Figure 14:
- VOLUME SIZE OF HOTSPOT, MW, THAILAND, 2017 - 2029
- Figure 15:
- VOLUME SHARE OF BANGKOK, MW, HOTSPOT, %, THAILAND, 2017 - 2029
- Figure 16:
- VOLUME SIZE OF HOTSPOT, MW, THAILAND, 2017 - 2029
- Figure 17:
- VOLUME SHARE OF REST OF THAILAND, MW, HOTSPOT, %, THAILAND, 2017 - 2029
- Figure 18:
- VOLUME OF DATA CENTER SIZE, MW, THAILAND, 2017 - 2029
- Figure 19:
- VOLUME SHARE OF DATA CENTER SIZE, %, THAILAND, 2017 - 2029
- Figure 20:
- VOLUME SIZE OF DATA CENTER SIZE, MW, THAILAND, 2017 - 2029
- Figure 21:
- VOLUME SIZE OF DATA CENTER SIZE, MW, THAILAND, 2017 - 2029
- Figure 22:
- VOLUME SIZE OF DATA CENTER SIZE, MW, THAILAND, 2017 - 2029
- Figure 23:
- VOLUME SIZE OF DATA CENTER SIZE, MW, THAILAND, 2017 - 2029
- Figure 24:
- VOLUME SIZE OF DATA CENTER SIZE, MW, THAILAND, 2017 - 2029
- Figure 25:
- VOLUME OF TIER TYPE, MW, THAILAND, 2017 - 2029
- Figure 26:
- VOLUME SHARE OF TIER TYPE, %, THAILAND, 2017 - 2029
- Figure 27:
- VOLUME SIZE OF TIER TYPE, MW, THAILAND, 2017 - 2029
- Figure 28:
- VOLUME SIZE OF TIER TYPE, MW, THAILAND, 2017 - 2029
- Figure 29:
- VOLUME SIZE OF TIER TYPE, MW, THAILAND, 2017 - 2029
- Figure 30:
- VOLUME OF ABSORPTION, MW, THAILAND, 2017 - 2029
- Figure 31:
- VOLUME SHARE OF ABSORPTION, %, THAILAND, 2017 - 2029
- Figure 32:
- VOLUME SIZE OF ABSORPTION, MW, THAILAND, 2017 - 2029
- Figure 33:
- VOLUME OF COLOCATION TYPE, MW, THAILAND, 2017 - 2029
- Figure 34:
- VOLUME SHARE OF COLOCATION TYPE, %, THAILAND, 2017 - 2029
- Figure 35:
- VOLUME SIZE OF COLOCATION TYPE, MW, THAILAND, 2017 - 2029
- Figure 36:
- VOLUME SIZE OF COLOCATION TYPE, MW, THAILAND, 2017 - 2029
- Figure 37:
- VOLUME SIZE OF COLOCATION TYPE, MW, THAILAND, 2017 - 2029
- Figure 38:
- VOLUME OF END USER, MW, THAILAND, 2017 - 2029
- Figure 39:
- VOLUME SHARE OF END USER, %, THAILAND, 2017 - 2029
- Figure 40:
- VOLUME SIZE OF END USER, MW, THAILAND, 2017 - 2029
- Figure 41:
- VOLUME SIZE OF END USER, MW, THAILAND, 2017 - 2029
- Figure 42:
- VOLUME SIZE OF END USER, MW, THAILAND, 2017 - 2029
- Figure 43:
- VOLUME SIZE OF END USER, MW, THAILAND, 2017 - 2029
- Figure 44:
- VOLUME SIZE OF END USER, MW, THAILAND, 2017 - 2029
- Figure 45:
- VOLUME SIZE OF END USER, MW, THAILAND, 2017 - 2029
- Figure 46:
- VOLUME SIZE OF END USER, MW, THAILAND, 2017 - 2029
- Figure 47:
- VOLUME SIZE OF END USER, MW, THAILAND, 2017 - 2029
- Figure 48:
- VOLUME SHARE OF MAJOR PLAYERS, %, THAILAND, 2022
Thailand Data Center Industry Segmentation
Bangkok 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 country has no facility certified with Tier 1 and Tier 2. The tier 3 data center segment reached an IT load capacity of 71.48 MW in 2021. The capacity is anticipated to grow from 74.33 MW in 2022 to 199.55 MW by 2029 at a CAGR of 15.15%. The tier 4 data center segment reached an IT load capacity of 20 MW in 2021. The capacity is anticipated to grow from 20 MW in 2022 to 50 MW by 2029 at a CAGR of 13.99%.
- In most Thai facilities, IT components can be replaced or removed without interrupting routine data center operations, so most facilities are Tier 3 certified.
- Currently, only one facility in Thailand has Tier 4 certification, i.e., SUPERNAP Thailand. It has a high fault-tolerant facility, which is ideal for consistently high traffic levels. National Telecom (NT), TOT, and SUPERNAP (Thailand) signed an MOU supporting governmental digital modernization, which is called the Data Center and Cloud Services Partnership Program.
| Hotspot | |
| Bangkok | |
| Rest of Thailand |
| 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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