India Data Center Market Size
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Study Period | 2017 - 2029 |
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Market Volume (2024) | 2.01 Thousand MW |
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Market Volume (2029) | 4.77 Thousand MW |
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Largest Share by Tier Type | Tier 3 |
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CAGR (2024 - 2029) | 18.79 % |
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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 |
India Data Center Market Analysis
The India Data Center Market size is estimated at 2.01 thousand MW in 2024, and is expected to reach 4.77 thousand MW by 2029, growing at a CAGR of 18.79%. Further, the market is expected to generate colocation revenue of USD 1,926.1 Million in 2024 and is projected to reach USD 4,597.3 Million by 2029, growing at a CAGR of 19.00% during the forecast period (2024-2029).
USD 1,926.11 Million
Market Size in 2024
USD 4,597.3 Million
Market Size in 2029
14.1%
CAGR (2017-2023)
19%
CAGR (2024-2029)
IT Load Capacity
2,014.5 MW
Value, IT Load Capacity, 2024
The IT load capacity of the Indian data center market may grow steadily and reach 4765.2 MW by 2029. Mumbai is poised to remain a major attraction to DC operators, including Sify, Equinix, NXTRA, Colt, and NTT Ltd.
Total Raised Floor Space
Sq. Ft. 6.01 M
Volume, Raised Floor Space, 2024
Adoption of smart technologies by urban population and attractive incentives offered by state governments has led data center operators setting up huge data processing facilities in the country.
Installed Racks
300,582
Volume, Installed Racks, 2024
The country's total number of installed racks is expected to reach 710,993 units by 2029. Mumbai is expected to house the maximum number of racks by 2029.
# of DC Operators & DC Facilities
22 and 114
Volume, DC Facilities, 2024
The data centers in the region are majorly tier 3 facilities with a gradual inclination toward tier 4 DC standards. This transformation will improve the DC performance and reduce the downtime of facilities.
Leading Market Player
22.3%
Market Share, STT GDC Pte Ltd, 2023
STT Telemedia leads the Indian data center market with facilities across Bangalore, Chennai, Hyderabad, Kolkata, NCR, Ahmedabad, Mumbai, and Pune. The company is projected to expand its facilities across the country in the coming years.
Tier 3 data center accounted for majority share in terms of volume in 2023, and is expected to dominate through out the forecasted period
- The growing urban population's adoption of smart technologies and attractive incentives offered by state governments has led data center operators setting up huge data processing facilities in the country.
- As businesses evolve in India, large businesses increasingly focus on tier 3 and tier 4 data centers due to their lower downtime, disaster recovery, and onsite assistance facility. This has led to the growth of tier 3 and tier 4 data centers in the region.
- Tier 3 data centers are expected to grow from 888.5 MW in 2022 to 3365.0 MW by 2029 at a CAGR of 16.20%. Similarly, tier 4 data centers operated at a capacity of 211.9 MW in 2021. This capacity is expected to increase from 211.9 MW in 2022 to 1380.2 MW by 2029 at a CAGR of 29.54%.
- As a result of low demand, tier 1 & 2 data center is expected to stagnate during the forecast period.
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India Data Center Market Trends
Growth of telecom operators such as Jio, and others providing smartphones and internet services at resonable rates, it has boosted the data centers market
- Indian smartphone users are expected to grow from 794.4 million in 2022 to 1.2 billion in 2029 at a CAGR of 5.52%. Government initiatives such as the “Make in India” movement have offered incentives to the smartphone industry, which has resulted in India producing smartphones with specifications that run applications seamlessly and at an affordable cost.
- The growth of telecom operators, such as Jio, has revolutionized the internet industry with their packages at a reasonable cost. In addition to that, the data demand increased continuously, with the government encouraging digital payments and services online.
- With the launch of the 5G network in India, data consumption is expected to rapidly increase, as Indian users have a heavy inclination toward online OTT content, gaming, shopping, smart home automation applications, online security cams, etc., which is expected to further propel the demand for data centers.
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Increasing household access to broadband and growing Internet exchanges are driving the market growth.
- A copper-based internet connection provides speeds of up to 300 Mbps whereas a fiber optic internet speeds are upto 10 Gbps. Earlier, the broadband network in India was more inclined toward copper cable connections. New innovations such as cloud technology have led to the adoption of fiber optic cables that offer higher speeds to move data stored in the cloud. Users are switching to fiber optic cables, which connect cloud servers with data centers. Hence, in terms of connectivity, the demand for copper cables is on the decline.
- Broadband connections rose from 6.1 crore in March 2014 to 81.62 crores in September 2022 growing by 1238%. The flagship BharatNet project is being implemented in phases to give broadband access to all 2.6 lakh Gramme Panchayats (GPs) in the country. Phase-I was finished in December 2017 and covered over 1 lakh GPs. As of October 2022, 6,00,898 km of Optical Fibre Cable had been laid under the project, 1,90,364 GPs had been connected by Optical Fibre Cable (OFC), and 1,77,665 GPs were Service Ready on OFC. Furthermore, 4466 GPs have been linked by satellite media. 1,82,131 GPs are ready to serve. This statistic shows an increase in broadband data usage.
- The growing urban population increasingly uses devices such as smart TVs, smartphones, and smart lighting systems, which has led to increased demand for higher bandwidth speeds that can only be achieved through the use of these fiber optic cables.
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OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT
- Rising OTT subscription and ecommerce sales boost the data center growth
- The increasing expansion rate of fiber optics and the use of internet exchanges in France show the demand for data centers.
- Increased use of voice applications, such as Skype, Microsoft Teams, Zoom, and Google Meet and rising penetration of 5G network would bloster the data centers market.
India Data Center Industry Overview
The India Data Center Market is fragmented, with the top five companies occupying 36.48%. The major players in this market are Equinix Inc., NTT Ltd, Nxtra Data Ltd, Sify Technologies Ltd and STT GDC Pte Ltd (sorted alphabetically).
India Data Center Market Leaders
Equinix Inc.
NTT Ltd
Nxtra Data Ltd
Sify Technologies Ltd
STT GDC Pte Ltd
Other important companies include CtrlS Datacenters Ltd, ESDS Software Solution Ltd, Go4hosting, Pi Datacenters Pvt Ltd, Reliance, WebWerks, Yotta Infrastructure Solutions.
*Disclaimer: Major Players sorted in alphabetical order.
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India Data Center Market News
- November 2022: STT Telemedia has signed a Memorandum of Understanding with the Indian Government, wherein they plan to expand further by opening new data center facilities in Karnataka withing the span of ten years.
- October 2022: Pi Datcenters has entered into a joint venture with Sequretek, a company which offers cybersecurity solutions. The partnership is aimed at providing data security for Pi data centers cloud and other service offerings.
- September 2022: Nxtra data has announced hydrogen fuel cell implementation in their Karnataka data center facility which would help reduce carbon emissions.
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.
India 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 India
- 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 Bangalore
- 6.1.2 Chennai
- 6.1.3 Hyderabad
- 6.1.4 Mumbai
- 6.1.5 NCR
- 6.1.6 Pune
- 6.1.7 Rest of India
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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 CtrlS Datacenters Ltd
- 7.3.2 Equinix Inc.
- 7.3.3 ESDS Software Solution Ltd
- 7.3.4 Go4hosting
- 7.3.5 NTT Ltd
- 7.3.6 Nxtra Data Ltd
- 7.3.7 Pi Datacenters Pvt Ltd
- 7.3.8 Reliance
- 7.3.9 Sify Technologies Ltd
- 7.3.10 STT GDC Pte Ltd
- 7.3.11 WebWerks
- 7.3.12 Yotta Infrastructure Solutions
- 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, INDIA, 2017 - 2029
- Figure 2:
- VOLUME OF RAISED FLOOR AREA, SQ.FT. ('000), INDIA, 2017 - 2029
- Figure 3:
- VALUE OF COLOCATION REVENUE, USD MILLION, INDIA, 2017 - 2029
- Figure 4:
- VOLUME OF INSTALLED RACKS, NUMBER, INDIA, 2017 - 2029
- Figure 5:
- RACK SPACE UTILIZATION, %, INDIA, 2017 - 2029
- Figure 6:
- COUNT OF SMARTPHONE USERS, IN MILLION, INDIA, 2017 - 2029
- Figure 7:
- DATA TRAFFIC PER SMARTPHONE, GB, INDIA, 2017 - 2029
- Figure 8:
- AVERAGE MOBILE DATA SPEED, MBPS, INDIA, 2017 - 2029
- Figure 9:
- AVERAGE BROADBAND SPEED, MBPS, INDIA, 2017 - 2029
- Figure 10:
- LENGTH OF FIBER CONNECTIVITY NETWORK, KILOMETER, INDIA, 2017 - 2029
- Figure 11:
- VOLUME OF IT LOAD CAPACITY, MW, INDIA, 2017 - 2029
- Figure 12:
- VOLUME OF HOTSPOT, MW, INDIA, 2017 - 2029
- Figure 13:
- VOLUME SHARE OF HOTSPOT, %, INDIA, 2017 - 2029
- Figure 14:
- VOLUME SIZE OF BANGALORE, MW, INDIA, 2017 - 2029
- Figure 15:
- VOLUME SHARE OF BANGALORE, MW, HOTSPOT, %, INDIA, 2017 - 2029
- Figure 16:
- VOLUME SIZE OF CHENNAI, MW, INDIA, 2017 - 2029
- Figure 17:
- VOLUME SHARE OF CHENNAI, MW, HOTSPOT, %, INDIA, 2017 - 2029
- Figure 18:
- VOLUME SIZE OF HYDERABAD, MW, INDIA, 2017 - 2029
- Figure 19:
- VOLUME SHARE OF HYDERABAD, MW, HOTSPOT, %, INDIA, 2017 - 2029
- Figure 20:
- VOLUME SIZE OF MUMBAI, MW, INDIA, 2017 - 2029
- Figure 21:
- VOLUME SHARE OF MUMBAI, MW, HOTSPOT, %, INDIA, 2017 - 2029
- Figure 22:
- VOLUME SIZE OF NCR, MW, INDIA, 2017 - 2029
- Figure 23:
- VOLUME SHARE OF NCR, MW, HOTSPOT, %, INDIA, 2017 - 2029
- Figure 24:
- VOLUME SIZE OF PUNE, MW, INDIA, 2017 - 2029
- Figure 25:
- VOLUME SHARE OF PUNE, MW, HOTSPOT, %, INDIA, 2017 - 2029
- Figure 26:
- VOLUME SIZE OF REST OF INDIA, MW, INDIA, 2017 - 2029
- Figure 27:
- VOLUME SHARE OF REST OF INDIA, MW, HOTSPOT, %, INDIA, 2017 - 2029
- Figure 28:
- VOLUME OF DATA CENTER SIZE, MW, INDIA, 2017 - 2029
- Figure 29:
- VOLUME SHARE OF DATA CENTER SIZE, %, INDIA, 2017 - 2029
- Figure 30:
- VOLUME SIZE OF LARGE, MW, INDIA, 2017 - 2029
- Figure 31:
- VOLUME SIZE OF MASSIVE, MW, INDIA, 2017 - 2029
- Figure 32:
- VOLUME SIZE OF MEDIUM, MW, INDIA, 2017 - 2029
- Figure 33:
- VOLUME SIZE OF MEGA, MW, INDIA, 2017 - 2029
- Figure 34:
- VOLUME SIZE OF SMALL, MW, INDIA, 2017 - 2029
- Figure 35:
- VOLUME OF TIER TYPE, MW, INDIA, 2017 - 2029
- Figure 36:
- VOLUME SHARE OF TIER TYPE, %, INDIA, 2017 - 2029
- Figure 37:
- VOLUME SIZE OF TIER 1 AND 2, MW, INDIA, 2017 - 2029
- Figure 38:
- VOLUME SIZE OF TIER 3, MW, INDIA, 2017 - 2029
- Figure 39:
- VOLUME SIZE OF TIER 4, MW, INDIA, 2017 - 2029
- Figure 40:
- VOLUME OF ABSORPTION, MW, INDIA, 2017 - 2029
- Figure 41:
- VOLUME SHARE OF ABSORPTION, %, INDIA, 2017 - 2029
- Figure 42:
- VOLUME SIZE OF NON-UTILIZED, MW, INDIA, 2017 - 2029
- Figure 43:
- VOLUME OF COLOCATION TYPE, MW, INDIA, 2017 - 2029
- Figure 44:
- VOLUME SHARE OF COLOCATION TYPE, %, INDIA, 2017 - 2029
- Figure 45:
- VOLUME SIZE OF HYPERSCALE, MW, INDIA, 2017 - 2029
- Figure 46:
- VOLUME SIZE OF RETAIL, MW, INDIA, 2017 - 2029
- Figure 47:
- VOLUME SIZE OF WHOLESALE, MW, INDIA, 2017 - 2029
- Figure 48:
- VOLUME OF END USER, MW, INDIA, 2017 - 2029
- Figure 49:
- VOLUME SHARE OF END USER, %, INDIA, 2017 - 2029
- Figure 50:
- VOLUME SIZE OF BFSI, MW, INDIA, 2017 - 2029
- Figure 51:
- VOLUME SIZE OF CLOUD, MW, INDIA, 2017 - 2029
- Figure 52:
- VOLUME SIZE OF E-COMMERCE, MW, INDIA, 2017 - 2029
- Figure 53:
- VOLUME SIZE OF GOVERNMENT, MW, INDIA, 2017 - 2029
- Figure 54:
- VOLUME SIZE OF MANUFACTURING, MW, INDIA, 2017 - 2029
- Figure 55:
- VOLUME SIZE OF MEDIA & ENTERTAINMENT, MW, INDIA, 2017 - 2029
- Figure 56:
- VOLUME SIZE OF TELECOM, MW, INDIA, 2017 - 2029
- Figure 57:
- VOLUME SIZE OF OTHER END USER, MW, INDIA, 2017 - 2029
- Figure 58:
- VOLUME SHARE OF MAJOR PLAYERS, %, INDIA, 2022
India Data Center Industry Segmentation
Bangalore, Chennai, Hyderabad, Mumbai, NCR, Pune 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 growing urban population's adoption of smart technologies and attractive incentives offered by state governments has led data center operators setting up huge data processing facilities in the country.
- As businesses evolve in India, large businesses increasingly focus on tier 3 and tier 4 data centers due to their lower downtime, disaster recovery, and onsite assistance facility. This has led to the growth of tier 3 and tier 4 data centers in the region.
- Tier 3 data centers are expected to grow from 888.5 MW in 2022 to 3365.0 MW by 2029 at a CAGR of 16.20%. Similarly, tier 4 data centers operated at a capacity of 211.9 MW in 2021. This capacity is expected to increase from 211.9 MW in 2022 to 1380.2 MW by 2029 at a CAGR of 29.54%.
- As a result of low demand, tier 1 & 2 data center is expected to stagnate during the forecast period.
| Hotspot | Bangalore | ||
| Chennai | |||
| Hyderabad | |||
| Mumbai | |||
| NCR | |||
| Pune | |||
| Rest of India | |||
| 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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