New Zealand Data Center Market Size
| Icons | Lable | Value |
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Study Period | 2017 - 2029 |
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Market Volume (2024) | 164.8 MW |
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Market Volume (2029) | 354.1 MW |
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Largest Share by Tier Type | Tier 3 |
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CAGR (2024 - 2029) | 16.53 % |
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Fastest Growing by Tier Type | Tier 4 |
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Market Concentration | Low |
Major Players |
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*Disclaimer: Major Players sorted in alphabetical order. |
New Zealand Data Center Market Analysis
The New Zealand Data Center Market size is estimated at 164.8 MW in 2024, and is expected to reach 354.1 MW by 2029, growing at a CAGR of 16.53%. Further, the market is expected to generate colocation revenue of USD 24.8 Million in 2024 and is projected to reach USD 40.1 Million by 2029, growing at a CAGR of 10.07% during the forecast period (2024-2029).
USD 24.81 Million
Market Size in 2024
USD 40.09 Million
Market Size in 2029
17.2%
CAGR (2017-2023)
10.1%
CAGR (2024-2029)
IT Load Capacity
164.8 MW
Value, IT Load Capacity, 2024
The IT load capacity of the data center market in New Zealand may grow steadily and reach 354.2 MW by 2029. Auckland has the fastest growth rate of 22.21%, expected to increase the IT load capacity to 106.05 MW by 2029.
Total Raised Floor Space
Sq. Ft. 0.49 M
Volume, Raised Floor Space, 2024
The country's total raised floor area is expected to reach 0.8 million sq. ft by 2029. Cloud and government are expected to contribute the highest market share. The cloud sector is expected to exhibit the fastest growth rate of 20.64%.
Installed Racks
22,577
Volume, Installed Racks, 2024
The country's total number of installed racks may reach 36,870 units by 2029. The presence of various end users in the country also enables operators to set up facilities, thereby driving the entire market.
# of DC Operators & DC Facilities
23 and 48
Volume, DC Facilities, 2024
The growing demand for cloud and colocation services in New Zealand has boosted investments in the country. Auckland is New Zealand's premier data center hub, hosting approximately 50% of the country's data centers.
Leading Market Player
21.4%
Market Share, Datacom Group Ltd, 2023
Datacom Group Ltd operates four data centers in the country, one each in Auckland, Wellington, Christchurch, and Hamilton. The Kapua facility at Hamilton, the biggest data center, with an IT load capacity of 14 MW.
Tier 3 DC facilities dominates the market share in the region, Tier 4 is fastest growing DC market in the region
- Tier 1 and Tier 2 facilities are losing demand due to their inability to meet the growing uninterrupted business services. A growing number of global companies are creating business continuity services and are gradually shifting priority to Tier 3 and 4 data centers.
- The Tier 3 sector in the New Zealand data center market reached an IT load capacity of 47.03 MW in 2022 and is expected to register a CAGR of 5.63% to reach a capacity of 69.03 MW by 2029. Increased investments in the building affect data center infrastructure and technological advancements. It is expected to create lucrative opportunities for market growth by 2029.
- Tier 4 data centers are expected to be the fastest-growing segment, with a CAGR of 31.53%. The segment amounted to just 2 MW in 2022 and is expected to touch 13.62 MW by 2029.
- Pandemic-led demand for video conferencing, online schooling, entertainment, social networking, and platforms to support remote working led to a 47% Y-o-Y surge in global internet traffic in 2020, eclipsing initial forecasts of 28%. These services need data center facilities with minimum times and 24/7 support, which Tier 3 and 4 facilities can offer.
- Other major demand drivers include global technology services companies catering to growing corporate requirements for remote working and other virtual arrangements. The wider adoption of 5G and further digitalization of healthcare and other government services will be the primary demand drivers of Tier 3 and Tier 4 data center growth within Asia-Pacific.
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New Zealand Data Center Market Trends
Surge in internet banking subscribers and digital inclusion in shopping trends boost the market demand
- Smartphone connections in the country have been consistently growing over the years by a small margin. Smartphone users are expected to increase from 6.48 million in 2022 to 7.10 million by 2029.
- Between January 2020 and January 2021, the number of mobile connections in New Zealand increased by 78 thousand (+1.2%). In January 2021, the number of mobile connections in New Zealand was equivalent to 135.6% of the total population.
- The majority of New Zealanders own a smartphone. In 2022, smartphone penetration in the country was expected to be around 92%. In 2021, post-paid mobile phone connections accounted for the country's vast majority of mobile subscriptions. Vodafone, Spark, and 2degrees were the leading mobile phone providers, with a more than 90% combined market share.
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High levels of broadband and fiber cable connection along with increase in online gaming and ecommerce purchase shall boost the market demand
- The country officially ended the support for 2G services in 2020 and is expected to stop the services for 3G by the end of 2023.
- The country has witnessed increased speeds of 4G and 5G over the years, peaking at 66 Mbps and 431 Mbps by 2029, for 4G and 5G, respectively. Vodafone had the highest average 5G download speed of the operators surveyed, according to data collected in New Zealand between January and March 2022. Vodafone customers using a 5G-enabled device saw an average download speed of 253.8 Mbps.
- The country officially launched 5G in 2019 and witnessed an average speed of 159.47 Mbps. New Zealanders require large amounts of data for everyday living, from communicating via social media platforms to purchasing goods online and for entertainment.
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OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT
- Deployment of 5G and surge in the adoption of OTT SVoD is boosting the data center market
- Government initiative towards national broadband strategy and fixed network investment by telecom companies is boosting the market demand
- Adoption of FTTx, full fiber and ultrafast broadband is boosting the market demand
New Zealand Data Center Industry Overview
The New Zealand Data Center Market is fragmented, with the top five companies occupying 38.85%. The major players in this market are Canberra Data Centers, Chorus, Plan B Limited, Spark New Zealand Limited and Vocus Group Limited (sorted alphabetically).
New Zealand Data Center Market Leaders
Canberra Data Centers
Chorus
Plan B Limited
Spark New Zealand Limited
Vocus Group Limited
Other important companies include Advantage Computers Limited, Datacom Group Ltd, DTS New Zealand Limited, HD Net Limited, Mikipro Limited, SiteHost NZ, T4 Group (Advanced Data Centres).
*Disclaimer: Major Players sorted in alphabetical order.
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New Zealand Data Center Market News
- April 2020: Voyager Internet completed its acquisition of HD Net. Both the companies were started at the same time period. The HD data center is the primary reason that Voyager was attracted to HD. The continued growth of cloud services and as a permanent home for Voyager to grow its infrastructure technology base from makes longer-term strategic sense.
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.
New Zealand 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鈥�
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. New Zealand
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. Auckland
4.1.2. Christchurch
4.1.3. Hamilton
4.1.4. Wellington
4.1.5. Rest of New Zealand
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. Advantage Computers Limited
5.3.2. Canberra Data Centers
5.3.3. Chorus
5.3.4. Datacom Group Ltd
5.3.5. DTS New Zealand Limited
5.3.6. HD Net Limited
5.3.7. Mikipro Limited
5.3.8. Plan B Limited
5.3.9. SiteHost NZ
5.3.10. Spark New Zealand Limited
5.3.11. T4 Group (Advanced Data Centres)
5.3.12. Vocus Group Limited
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鈥檚 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, NEW ZEALAND, 2017 - 2029
- Figure 2:
- VOLUME OF RAISED FLOOR AREA, SQ.FT. ('000), NEW ZEALAND, 2017 - 2029
- Figure 3:
- VALUE OF COLOCATION REVENUE, USD MILLION, NEW ZEALAND, 2017 - 2029
- Figure 4:
- VOLUME OF INSTALLED RACKS, NUMBER, NEW ZEALAND, 2017 - 2029
- Figure 5:
- RACK SPACE UTILIZATION, %, NEW ZEALAND, 2017 - 2029
- Figure 6:
- COUNT OF SMARTPHONE USERS, IN MILLION, NEW ZEALAND, 2017 - 2029
- Figure 7:
- DATA TRAFFIC PER SMARTPHONE, GB, NEW ZEALAND, 2017 - 2029
- Figure 8:
- AVERAGE MOBILE DATA SPEED, MBPS, NEW ZEALAND, 2017 - 2029
- Figure 9:
- AVERAGE BROADBAND SPEED, MBPS, NEW ZEALAND, 2017 - 2029
- Figure 10:
- LENGTH OF FIBER CONNECTIVITY NETWORK, KILOMETER, NEW ZEALAND, 2017 - 2029
- Figure 11:
- VOLUME OF IT LOAD CAPACITY, MW, NEW ZEALAND, 2017 - 2029
- Figure 12:
- VOLUME OF HOTSPOT, MW, NEW ZEALAND, 2017 - 2029
- Figure 13:
- VOLUME SHARE OF HOTSPOT, %, NEW ZEALAND, 2017 - 2029
- Figure 14:
- VOLUME SIZE OF AUCKLAND, MW, NEW ZEALAND, 2017 - 2029
- Figure 15:
- VOLUME SHARE OF AUCKLAND, MW, HOTSPOT, %, NEW ZEALAND, 2017 - 2029
- Figure 16:
- VOLUME SIZE OF CHRISTCHURCH, MW, NEW ZEALAND, 2017 - 2029
- Figure 17:
- VOLUME SHARE OF CHRISTCHURCH, MW, HOTSPOT, %, NEW ZEALAND, 2017 - 2029
- Figure 18:
- VOLUME SIZE OF HAMILTON, MW, NEW ZEALAND, 2017 - 2029
- Figure 19:
- VOLUME SHARE OF HAMILTON, MW, HOTSPOT, %, NEW ZEALAND, 2017 - 2029
- Figure 20:
- VOLUME SIZE OF WELLINGTON, MW, NEW ZEALAND, 2017 - 2029
- Figure 21:
- VOLUME SHARE OF WELLINGTON, MW, HOTSPOT, %, NEW ZEALAND, 2017 - 2029
- Figure 22:
- VOLUME SIZE OF REST OF NEW ZEALAND, MW, NEW ZEALAND, 2017 - 2029
- Figure 23:
- VOLUME SHARE OF REST OF NEW ZEALAND, MW, HOTSPOT, %, NEW ZEALAND, 2017 - 2029
- Figure 24:
- VOLUME OF DATA CENTER SIZE, MW, NEW ZEALAND, 2017 - 2029
- Figure 25:
- VOLUME SHARE OF DATA CENTER SIZE, %, NEW ZEALAND, 2017 - 2029
- Figure 26:
- VOLUME SIZE OF LARGE, MW, NEW ZEALAND, 2017 - 2029
- Figure 27:
- VOLUME SIZE OF MASSIVE, MW, NEW ZEALAND, 2017 - 2029
- Figure 28:
- VOLUME SIZE OF MEDIUM, MW, NEW ZEALAND, 2017 - 2029
- Figure 29:
- VOLUME SIZE OF MEGA, MW, NEW ZEALAND, 2017 - 2029
- Figure 30:
- VOLUME SIZE OF SMALL, MW, NEW ZEALAND, 2017 - 2029
- Figure 31:
- VOLUME OF TIER TYPE, MW, NEW ZEALAND, 2017 - 2029
- Figure 32:
- VOLUME SHARE OF TIER TYPE, %, NEW ZEALAND, 2017 - 2029
- Figure 33:
- VOLUME SIZE OF TIER 1 AND 2, MW, NEW ZEALAND, 2017 - 2029
- Figure 34:
- VOLUME SIZE OF TIER 3, MW, NEW ZEALAND, 2017 - 2029
- Figure 35:
- VOLUME SIZE OF TIER 4, MW, NEW ZEALAND, 2017 - 2029
- Figure 36:
- VOLUME OF ABSORPTION, MW, NEW ZEALAND, 2017 - 2029
- Figure 37:
- VOLUME SHARE OF ABSORPTION, %, NEW ZEALAND, 2017 - 2029
- Figure 38:
- VOLUME SIZE OF NON-UTILIZED, MW, NEW ZEALAND, 2017 - 2029
- Figure 39:
- VOLUME OF COLOCATION TYPE, MW, NEW ZEALAND, 2017 - 2029
- Figure 40:
- VOLUME SHARE OF COLOCATION TYPE, %, NEW ZEALAND, 2017 - 2029
- Figure 41:
- VOLUME SIZE OF HYPERSCALE, MW, NEW ZEALAND, 2017 - 2029
- Figure 42:
- VOLUME SIZE OF RETAIL, MW, NEW ZEALAND, 2017 - 2029
- Figure 43:
- VOLUME SIZE OF WHOLESALE, MW, NEW ZEALAND, 2017 - 2029
- Figure 44:
- VOLUME OF END USER, MW, NEW ZEALAND, 2017 - 2029
- Figure 45:
- VOLUME SHARE OF END USER, %, NEW ZEALAND, 2017 - 2029
- Figure 46:
- VOLUME SIZE OF BFSI, MW, NEW ZEALAND, 2017 - 2029
- Figure 47:
- VOLUME SIZE OF CLOUD, MW, NEW ZEALAND, 2017 - 2029
- Figure 48:
- VOLUME SIZE OF E-COMMERCE, MW, NEW ZEALAND, 2017 - 2029
- Figure 49:
- VOLUME SIZE OF GOVERNMENT, MW, NEW ZEALAND, 2017 - 2029
- Figure 50:
- VOLUME SIZE OF MANUFACTURING, MW, NEW ZEALAND, 2017 - 2029
- Figure 51:
- VOLUME SIZE OF MEDIA & ENTERTAINMENT, MW, NEW ZEALAND, 2017 - 2029
- Figure 52:
- VOLUME SIZE OF TELECOM, MW, NEW ZEALAND, 2017 - 2029
- Figure 53:
- VOLUME SIZE OF OTHER END USER, MW, NEW ZEALAND, 2017 - 2029
- Figure 54:
- VOLUME SHARE OF MAJOR PLAYERS, %, NEW ZEALAND, 2022
New Zealand Data Center Industry Segmentation
Auckland, Christchurch, Hamilton, Wellington are covered as segments by Hotspot. Large, Massive, Medium, Mega, Small are covered as segments by Data Center Size. Tier 1 and 2, Tier 3, Tier 4 are covered as segments by Tier Type. Non-Utilized, Utilized are covered as segments by Absorption.
- Tier 1 and Tier 2 facilities are losing demand due to their inability to meet the growing uninterrupted business services. A growing number of global companies are creating business continuity services and are gradually shifting priority to Tier 3 and 4 data centers.
- The Tier 3 sector in the New Zealand data center market reached an IT load capacity of 47.03 MW in 2022 and is expected to register a CAGR of 5.63% to reach a capacity of 69.03 MW by 2029. Increased investments in the building affect data center infrastructure and technological advancements. It is expected to create lucrative opportunities for market growth by 2029.
- Tier 4 data centers are expected to be the fastest-growing segment, with a CAGR of 31.53%. The segment amounted to just 2 MW in 2022 and is expected to touch 13.62 MW by 2029.
- Pandemic-led demand for video conferencing, online schooling, entertainment, social networking, and platforms to support remote working led to a 47% Y-o-Y surge in global internet traffic in 2020, eclipsing initial forecasts of 28%. These services need data center facilities with minimum times and 24/7 support, which Tier 3 and 4 facilities can offer.
- Other major demand drivers include global technology services companies catering to growing corporate requirements for remote working and other virtual arrangements. The wider adoption of 5G and further digitalization of healthcare and other government services will be the primary demand drivers of Tier 3 and Tier 4 data center growth within Asia-Pacific.
| Hotspot | |
| Auckland | |
| Christchurch | |
| Hamilton | |
| Wellington | |
| Rest of New Zealand |
| 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 掳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鈥檚 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: (饾憞饾憸饾憽饾憥饾憴 饾惙饾憥饾憽饾憥 饾惗饾憭饾憶饾憽饾憭饾憻 饾惛饾憶饾憭饾憻饾憯饾懄 饾惗饾憸饾憶饾憼饾憿饾憵饾憹饾憽饾憱饾憸饾憶)/(饾憞饾憸饾憽饾憥饾憴 饾惣饾憞 饾惛饾憺饾憿饾憱饾憹饾憵饾憭饾憶饾憽 饾惛饾憶饾憭饾憻饾憯饾懄 饾惗饾憸饾憶饾憼饾憿饾憵饾憹饾憽饾憱饾憸饾憶). 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 鈮� 5,000 Sq. ft or the number of racks that can be installed is 鈮� 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 鈮� 225,001 Sq. ft or the number of racks that can be installed is 鈮� 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
糖心vlog传媒 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聽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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