Indonesia Data Center Market Size
| Icons | Lable | Value |
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Study Period | 2017 - 2029 |
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Market Volume (2024) | 0.65 Thousand MW |
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Market Volume (2029) | 1.41 Thousand MW |
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Largest Share by Tier Type | Tier 3 |
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CAGR (2024 - 2029) | 16.92 % |
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Fastest Growing by Tier Type | Tier 4 |
Major Players |
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*Disclaimer: Major Players sorted in alphabetical order. |
Indonesia Data Center Market Analysis
The Indonesia Data Center Market size is estimated at 0.65 thousand MW in 2024, and is expected to reach 1.41 thousand MW by 2029, growing at a CAGR of 16.92%. Further, the market is expected to generate colocation revenue of USD 4,012.7 Million in 2024 and is projected to reach USD 11,193.7 Million by 2029, growing at a CAGR of 22.77% during the forecast period (2024-2029).
USD 4,012.70 Million
Market Size in 2024
USD 11,193.7 Million
Market Size in 2029
20.1%
CAGR (2017-2023)
22.7%
CAGR (2024-2029)
IT Load Capacity
647 MW
Value, IT Load Capacity, 2024
The Indonesian data center market is projected to witness steady growth during the forecast period, with the total IT load capacity expected to reach 1,413.49 MW by 2029.
Total Raised Floor Space
Sq. Ft. 2.36 M
Volume, Raised Floor Space, 2024
The total raised floor space in the country is expected to reach 4.3 million sq. ft by 2029. Companies such as STT GDS and DCI Indonesia have announced the construction of new hyperscale data center facilities.
Installed Racks
118,121
Volume, Installed Racks, 2024
The total number of installed racks is expected to reach 218,855 by 2029. Greater Jakarta is expected to house the maximum number of racks in the coming years.
# of DC Operators & DC Facilities
25 and 72
Volume, DC Facilities, 2024
The increasing uptime demand and 24/7 service continuity contracts are expected to drive the construction of tier 3 and 4 data centers in the country in the coming years.
Leading Market Player
9.3%
Market Share, Space DC Pte Ltd., 2023
Space DC Pte Ltd is a leading player in the Indonesian data center market. It is projected to continue its leadership position by rolling out a mega data center with 600 MW capacity 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 had a market share of over 50% in the Indonesian data center market in 2022. It is further projected to register a CAGR of 15% to reach an IT load capacity of 652.6 MW by 2029. On the other hand, the tier 4 segment is expected to witness the highest growth of 25.9% by 2029. Implementation of standards in the data center facilities ensures minimal downtown while increasing the efficiency of facilities. Therefore, data centers with additional redundant equipment in place for backup are preferred by customers.
- Tier 1 & 2 facilities are losing their demand as they are incompetent in fulfilling the growing uninterrupted services of businesses. The growing number of global conglomerates has given rise to business continuity services 24*7, which has gradually shifted the preference toward tier 3 and 4 data centers.
- As of 2022, there were nearly 25 tier 3 data center facilities in the country, followed by eight tier 4 data centers. PT DCI Indonesia Tbk's JK1 facility was the first data center in the country to receive the Tier 4 certification in 2013. Since then, NTT and Digital Edge (Singapore) Pte Ltd have had to build tier 4 data centers in the country. The growing demand from customers is expected to drive the construction of tier 3 and 4 data centers in the country in the coming years.
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Indonesia Data Center Market Trends
Rising demand for 5G smartphones at reasonable price led to increased sales in smartphones, this would create data center demand
- Smartphone users in Indonesia are witnessing steady growth owing to the availability of 4G services nationwide and the launch of 5G in 2021. The user base reached 170 million in 2021 from 107 million in 2016, exhibiting a CAGR of 9.7% during the historical period. Smartphone penetration more than tripled from 43% in 2016 to 72% in 2021.
- Improvement in the 4G network and the launch of 5G technology are touted to drive smartphone penetration in the country further. 5G smartphones in the price bracket of USD 350-450 gained major traction in 2022. From the customer's perspective, these smartphones offer better performance and connectivity, and 5G support makes them future-ready compared to 4G smartphones in the same price segment.
- This growth in 4G and 5G smartphones and affordable data packs are projected to drive data consumption among the populace, thus impacting the Indonesian data center market positively. As more smartphones were sold, average screen time increased from 45 minutes in 2016 to 5 hours in 2022. This change in smartphone usage patterns is also triggered by the ease of services by various digital apps, which ultimately rely on either cloud or data centers to provide their services. For instance, the BFSI segment has majorly benefited by providing digital services in the country via smartphones. In 2022, over 70% of banking transactions were carried out via smartphones. BFSI, one of the country's major end users of data centers, is projected to invest more in colocation services in the coming years. Therefore, the growing smartphone user base in the country is predicted to positively drive the Indonesian data center market during the forecast period.
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"Digital Indonesia Roadmap 2021-2024 launched by Indonesian Government boost the market demand
- The average broadband speed over FTTx connection stood at 21.2 Mbps in 2022 compared to 12.6 Mbps via copper cables. The government drafted the "Digital Indonesia Roadmap 2021-2024," which focuses on digital infrastructure improvement in the country. It is touted to boost the average broadband speed over fiber and copper cable during the forecast period.
- The fixed broadband connections in the country reached 12.4 million in 2021, where 77% of the user base experiences had an average speed of ≥ 10 Mbps. The broadband network in Indonesia is expensive and slow due to the high price and the low quality of internet connectivity. The country comprises 17,000 islands with a disparity in economic development and connectivity between islands, a major bottleneck in providing uniform broadband connectivity, primarily in eastern islands. To address this disparity, the Indonesian government completed the Palapa Ring Project in 2019, with seven island groupings (Sumatra, Jawa, Kalimantan, Nusa Tenggara, Sulawesi, Maluku, and Papua) connected with stable broadband connectivity.
- The growing demand for the internet in the country drives companies to establish new networks. In September 2022, Indonesian operator Indosat Ooredoo Hutchison (IOH) announced to broaden its service portfolio by launching a fiber-to-the-home (FTTH) service, branded Indosat HiFi, as it looks to capitalize on the growing demand for high-speed internet access at home.
- With the internet being the primary requirement for the smooth operation of any data center and the rise in average broadband speed, predominantly FTTx, and with improvement in digital infrastructure in the eastern region of the country, data center construction projects are expected to be more focused in the country during the forecast period.
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OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT
- Prioritizing digital initiatives, such as 5G, digital payment and attracting sizable population of working immigrants boost the market demand
- Increasing Fiber connectivity projects in the country to drive the market
- The launch of the 5G network and expansion of 4G network to drive the data centers market
Indonesia Data Center Industry Overview
The Indonesia Data Center Market is fragmented, with the top five companies occupying 12.95%. The major players in this market are EdgeConneX Inc., EdgeConneX Inc., NTT Ltd, PT Sigma Tata Sadaya and PT. Faasri Utama Sakti (sorted alphabetically).
Indonesia Data Center Market Leaders
EdgeConneX Inc.
EdgeConneX Inc.
NTT Ltd
PT Sigma Tata Sadaya
PT. Faasri Utama Sakti
Other important companies include BDx Data Center Pte Ltd, Digital Edge (Singapore) Holdings Pte Ltd, Nusantara Data Center, Princeton Digital Group, PT CBN Nusantara, PT DCI Indonesia Tbk, PT. Supra Primatama Nusantara, Space DC Pte Ltd.
*Disclaimer: Major Players sorted in alphabetical order.
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Indonesia Data Center Market News
- September 2022: The company commenced construction on a 23MW data center in Jakarta, Indonesia, marking the company’s third site in South East Asia as it capitalizes on the region’s rapid digital transformation in the wake of the global pandemic.The new facility will offer 3,430 cabinets and an IT load of 23MW and is designed to cater for the growing demand for high power density applications from cloud-driven hyperscale deployments, local and international network and financial service providers. It is expected to complete by Q4 2023.
- August 2022: PT Sigma Cipta Caraka (SCA), also known as telkomsigma, transfers its data centre business to PT Telkom Data Ekosistem (TDE), which is worth a total of IDR 2.01 trillion. The parent company PT Telkom Indonesia (Persero) Tbk (TLKM), claimed that this transfer of the data centre business line is related to the business restructuring program held by Telkom Group.
- June 2022: The company announced the launch of BDx Indonesia, following the completion of a USD 300 million joint venture agreement with PT Indosat Tbk (Indosat Ooredoo Hutchison or IOH) and PT Aplikanusa Lintasarta, Big Data Exchange (BDx).
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.
Indonesia 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. Indonesia
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. Greater Jakarta
4.1.2. Rest of Indonesia
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. BDx Data Center Pte Ltd
5.3.2. Digital Edge (Singapore) Holdings Pte Ltd
5.3.3. EdgeConneX Inc.
5.3.4. EdgeConneX Inc.
5.3.5. NTT Ltd
5.3.6. Nusantara Data Center
5.3.7. Princeton Digital Group
5.3.8. PT CBN Nusantara
5.3.9. PT DCI Indonesia Tbk
5.3.10. PT Sigma Tata Sadaya
5.3.11. PT. Faasri Utama Sakti
5.3.12. PT. Supra Primatama Nusantara
5.3.13. Space DC Pte 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, INDONESIA, 2017 - 2029
- Figure 2:
- VOLUME OF RAISED FLOOR AREA, SQ.FT. ('000), INDONESIA, 2017 - 2029
- Figure 3:
- VALUE OF COLOCATION REVENUE, USD MILLION, INDONESIA, 2017 - 2029
- Figure 4:
- VOLUME OF INSTALLED RACKS, NUMBER, INDONESIA, 2017 - 2029
- Figure 5:
- RACK SPACE UTILIZATION, %, INDONESIA, 2017 - 2029
- Figure 6:
- COUNT OF SMARTPHONE USERS, IN MILLION, INDONESIA, 2017 - 2029
- Figure 7:
- DATA TRAFFIC PER SMARTPHONE, GB, INDONESIA, 2017 - 2029
- Figure 8:
- AVERAGE MOBILE DATA SPEED, MBPS, INDONESIA, 2017 - 2029
- Figure 9:
- AVERAGE BROADBAND SPEED, GBPS, INDONESIA, 2017 - 2029
- Figure 10:
- LENGTH OF FIBER CONNECTIVITY NETWORK, KILOMETER, INDONESIA, 2017 - 2029
- Figure 11:
- VOLUME OF IT LOAD CAPACITY, MW, INDONESIA, 2017 - 2029
- Figure 12:
- VOLUME OF HOTSPOT, MW, INDONESIA, 2017 - 2029
- Figure 13:
- VOLUME SHARE OF HOTSPOT, %, INDONESIA, 2017 - 2029
- Figure 14:
- VOLUME SIZE OF GREATER JAKARTA, MW, INDONESIA, 2017 - 2029
- Figure 15:
- VOLUME SHARE OF GREATER JAKARTA, MW, HOTSPOT, %, INDONESIA, 2017 - 2029
- Figure 16:
- VOLUME SIZE OF REST OF INDONESIA, MW, INDONESIA, 2017 - 2029
- Figure 17:
- VOLUME SHARE OF REST OF INDONESIA, MW, HOTSPOT, %, INDONESIA, 2017 - 2029
- Figure 18:
- VOLUME OF DATA CENTER SIZE, MW, INDONESIA, 2017 - 2029
- Figure 19:
- VOLUME SHARE OF DATA CENTER SIZE, %, INDONESIA, 2017 - 2029
- Figure 20:
- VOLUME SIZE OF LARGE, MW, INDONESIA, 2017 - 2029
- Figure 21:
- VOLUME SIZE OF MASSIVE, MW, INDONESIA, 2017 - 2029
- Figure 22:
- VOLUME SIZE OF MEDIUM, MW, INDONESIA, 2017 - 2029
- Figure 23:
- VOLUME SIZE OF MEGA, MW, INDONESIA, 2017 - 2029
- Figure 24:
- VOLUME SIZE OF SMALL, MW, INDONESIA, 2017 - 2029
- Figure 25:
- VOLUME OF TIER TYPE, MW, INDONESIA, 2017 - 2029
- Figure 26:
- VOLUME SHARE OF TIER TYPE, %, INDONESIA, 2017 - 2029
- Figure 27:
- VOLUME SIZE OF TIER 1 AND 2, MW, INDONESIA, 2017 - 2029
- Figure 28:
- VOLUME SIZE OF TIER 3, MW, INDONESIA, 2017 - 2029
- Figure 29:
- VOLUME SIZE OF TIER 4, MW, INDONESIA, 2017 - 2029
- Figure 30:
- VOLUME OF ABSORPTION, MW, INDONESIA, 2017 - 2029
- Figure 31:
- VOLUME SHARE OF ABSORPTION, %, INDONESIA, 2017 - 2029
- Figure 32:
- VOLUME SIZE OF NON-UTILIZED, MW, INDONESIA, 2017 - 2029
- Figure 33:
- VOLUME OF COLOCATION TYPE, MW, INDONESIA, 2017 - 2029
- Figure 34:
- VOLUME SHARE OF COLOCATION TYPE, %, INDONESIA, 2017 - 2029
- Figure 35:
- VOLUME SIZE OF HYPERSCALE, MW, INDONESIA, 2017 - 2029
- Figure 36:
- VOLUME SIZE OF RETAIL, MW, INDONESIA, 2017 - 2029
- Figure 37:
- VOLUME SIZE OF WHOLESALE, MW, INDONESIA, 2017 - 2029
- Figure 38:
- VOLUME OF END USER, MW, INDONESIA, 2017 - 2029
- Figure 39:
- VOLUME SHARE OF END USER, %, INDONESIA, 2017 - 2029
- Figure 40:
- VOLUME SIZE OF BFSI, MW, INDONESIA, 2017 - 2029
- Figure 41:
- VOLUME SIZE OF CLOUD, MW, INDONESIA, 2017 - 2029
- Figure 42:
- VOLUME SIZE OF E-COMMERCE, MW, INDONESIA, 2017 - 2029
- Figure 43:
- VOLUME SIZE OF GOVERNMENT, MW, INDONESIA, 2017 - 2029
- Figure 44:
- VOLUME SIZE OF MANUFACTURING, MW, INDONESIA, 2017 - 2029
- Figure 45:
- VOLUME SIZE OF MEDIA & ENTERTAINMENT, MW, INDONESIA, 2017 - 2029
- Figure 46:
- VOLUME SIZE OF TELECOM, MW, INDONESIA, 2017 - 2029
- Figure 47:
- VOLUME SIZE OF OTHER END USER, MW, INDONESIA, 2017 - 2029
- Figure 48:
- VOLUME SHARE OF MAJOR PLAYERS, %, INDONESIA, 2022
Indonesia Data Center Industry Segmentation
Greater Jakarta 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 had a market share of over 50% in the Indonesian data center market in 2022. It is further projected to register a CAGR of 15% to reach an IT load capacity of 652.6 MW by 2029. On the other hand, the tier 4 segment is expected to witness the highest growth of 25.9% by 2029. Implementation of standards in the data center facilities ensures minimal downtown while increasing the efficiency of facilities. Therefore, data centers with additional redundant equipment in place for backup are preferred by customers.
- Tier 1 & 2 facilities are losing their demand as they are incompetent in fulfilling the growing uninterrupted services of businesses. The growing number of global conglomerates has given rise to business continuity services 24*7, which has gradually shifted the preference toward tier 3 and 4 data centers.
- As of 2022, there were nearly 25 tier 3 data center facilities in the country, followed by eight tier 4 data centers. PT DCI Indonesia Tbk's JK1 facility was the first data center in the country to receive the Tier 4 certification in 2013. Since then, NTT and Digital Edge (Singapore) Pte Ltd have had to build tier 4 data centers in the country. The growing demand from customers is expected to drive the construction of tier 3 and 4 data centers in the country in the coming years.
| Hotspot | |
| Greater Jakarta | |
| Rest of Indonesia |
| 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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