Market Overview
| Study Period | 2019 - 2030 |
|---|---|
| Base Year For Estimation | 2024 |
| Forecast Data Period | 2025 - 2030 |
| Market Size (2025) | USD 153.87 Billion |
| Market Size (2030) | USD 253.35 Billion |
| Growth Rate (2025 - 2030) | 10.49% CAGR |
| Market Concentration | Medium |
Major Players
*Disclaimer: Major Players sorted in no particular order Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0. |
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North America Data Center Market Analysis by Mordor Intelligence
The North America Data Center Market size is estimated at USD 153.87 billion in 2025, and is expected to reach USD 253.35 billion by 2030, at a CAGR of 10.49% during the forecast period (2025-2030). In terms of installed base, the market is expected to grow from 60.34 thousand megawatt in 2025 to 114.39 thousand megawatt by 2030, at a CAGR of 13.64% during the forecast period (2025-2030). The market segment shares and estimates are calculated and reported in terms of MW. Intense demand for generative-AI training clusters, each drawing 10-50 MW per hall, keeps new-build pipelines dominated by hyperscale designs optimized for high-density liquid cooling. Colocation operators benefit from preleasing that locks in customers 18-36 months before energization, preserving price discipline even as supply chain delays extend transformer deliveries to 24 months. Geographic diversification gathers momentum as tax-advantaged, renewable-heavy corridors in Texas, Illinois, and Canadian hydro provinces undercut legacy coastal power prices, while small modular reactors (SMRs) enter pilot stages to secure carbon-free baseload supply. Competitive intensity rises because hyperscale self-builds squeeze traditional retail colocation margins, opening white-space niches for edge-cloud and hybrid interconnection platforms.
Key Report Takeaways
- By data center size, medium-scale sites captured 14.93% share of the North America data center market size in 2024, while large campuses are set to climb at a 4.25% CAGR during the forecast window.
- By tier type, Tier 3 infrastructure accounted for 68.94% of the North America data center market share in 2024; Tier 4 is poised to expand at a 5.20% CAGR through 2030.
- By data center type, colocation services held 58.79% revenue share in 2024, whereas hyperscale self-built facilities are projected to advance at a 5.10% CAGR through 2030.
- By end user, IT and telecom commanded 68.50% of the North America data center market size in 2024; BFSI leads growth at a 4.39% CAGR through 2030.
- By geography, the United States dominated with 76.54% revenue share in 2024, yet Canada is on course to rise at a 6.00% CAGR to 2030.
North America Data Center Market Trends and Insights
Drivers Impact Analysis
| Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| AI and generative-AI workload surge | +1.20% | United States core hyperscale hubs | Short term (≤ 2 years) |
| Record-low vacancy-driven preleasing | +0.80% | U.S. primary markets; spillover into Canada | Medium term (2-4 years) |
| Tax incentives and renewable corridors | +0.60% | Midwest and Southwest U.S.; nationwide Canada | Long term (≥ 4 years) |
| Small modular reactor adoption | +0.40% | U.S. SMR pilot zones; selective Canada | Long term (≥ 4 years) |
| New subsea cable landings | +0.30% | Mid-Atlantic U.S. | Medium term (2-4 years) |
| Rural electric-co-op fiber buildouts | +0.20% | U.S. rural markets | Long term (≥ 4 years) |
| Source: Mordor Intelligence | |||
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AI and Generative-AI Workload Surge
Generative-AI model training requires roughly 10-100 times the compute of typical enterprise workloads, driving unprecedented rack densities well beyond 50 kW [1]NVIDIA Corporation, “Liquid-Cooled Reference Architecture for AI Data Centers,” nvidia.com. xAI’s 100,000-GPU Memphis cluster consumes 150 MW and illustrates how hyperscalers now size campuses expressly for accelerated computing demands. Operators respond with liquid and direct-chip cooling, high-amp busways, and 100G/400G optical fabrics that standard Tier 3 halls cannot cost-effectively retrofit. Enterprise buyers follow suit, pre-contracting inference-optimized blocks that piggyback hyperscale design standards. This wave locks in power contracts earlier, lifts land prices in fiber-rich counties, and compresses deployment cycles throughout the North America data center market. The runway remains long because leading LLM providers project parameter counts in the trillions, ensuring continuous refresh of AI-ready capacity.
Record-Low Vacancy-Driven Preleasing
Vacancy in Northern Virginia, Dallas-Fort Worth, and Silicon Valley fell below 2% during 2024, spurring enterprises to reserve suites two years before commissioning. Wholesale colocation pricing in top U.S. metros rose 15-25% year-over-year, a premium operators justify by offering immediate path-to-power plus sustainability credentials. Development capital now flows to secondary U.S. markets such as Columbus and Phoenix, yet transformer constraints keep near-term deliveries tight, reinforcing preleasing discipline. For Canada, low vacancy in Montreal and Toronto channels overflow demand into Calgary and Winnipeg, pushing investors to evaluate 100-MW-plus campuses tied to hydro grids. The result is heightened forward-contract visibility across the North America data center market that underpins steady margin outlooks through 2027.
Tax Incentives and Renewable Power Corridors
State and provincial incentive bundles shave 20-30% from total cost of ownership by marrying tax abatements with guaranteed access to clean power. Texas’s Chapter 313 program offers 10-year property-tax relief and sales-tax exemptions, while ERCOT’s deregulated market enables 24x7 wind-solar purchase agreements [2].Texas Comptroller, “Data Center Tax Incentives – Chapter 313,” comptroller.texas.gov Similar structures in Quebec provide 15-year fixed-rate hydroelectric contracts, cutting delivered power costs to <USD 0.04/kWh. Operators use these corridors to meet net-zero pledges without purchasing unbundled renewable certificates, reinforcing a migration away from legacy coastal hubs. Over the long term, incentive-driven site selection reshapes the geographic footprint of the North America data center market, spreading infrastructure into lower-population states and provinces with ample land, water, and power headroom.
Small Modular Reactors and On-Site Cogeneration Adoption
SMR technology offers 50-300 MW units that can be co-located within data center campuses, providing carbon-free baseload and grid-island resilience. Microsoft’s 835 MW purchase agreement tied to the Three Mile Island restart showcases early hyperscale commitment to nuclear baseload for AI estates[3].Microsoft Corporation, “Microsoft Invests $15 Billion in U.S. AI Infrastructure,” microsoft.com While NRC approvals push commercial deployment beyond 2028, design-certification wins by several vendors encourage operators to secure interconnection sites adjacent to decommissioned coal plants. Combining SMRs with cogeneration unlocks waste-heat reuse for district heating or adsorption cooling, boosting overall energy efficiency. Over the long term, SMRs can flatten power-price volatility and eliminate grid-curtailment risk, reinforcing hyperscale self-build economics inside the North America data center market.
Restraints Impact Analysis
| Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Utility transmission bottlenecks | -0.9% | High-growth U.S. clusters | Short term (≤ 2 years) |
| Transformer and switchgear shortages | -0.7% | Global supply chain; U.S. focus | Medium term (2-4 years) |
| Community zoning pushback | -0.4% | U.S. suburban expansion corridors | Medium term (2-4 years) |
| Cooling-water stress in arid markets | -0.3% | Southwest U.S. | Long term (≥ 4 years) |
| Source: Mordor Intelligence | |||
Utility Transmission Bottlenecks
PJM’s interconnection queue contains 40 GW of pending data center load; upgrades valued at USD 15 billion stretch average energization timelines to five years [4].PJM Interconnection, “Regional Transmission Upgrade Plans,” pjm.com Similar congestion plagues ERCOT and NYISO, forcing operators to procure temporary diesel generation or relocate builds to less-congested substations. Delays erode return on invested capital and can trigger contractual penalty clauses tied to client go-live dates. Until federal grid-modernization funds flow through 2027, transmission scarcity will temper near-term capacity additions throughout the North America data center market.
Transformer and Switchgear Shortages
Lead times for 100-MVA power transformers now exceed 24 months, triple the historical norm, due to limited global core-steel output and competing renewable-energy orders. Custom medium-voltage switchgear faces comparable delays, compelling developers to preorder equipment before land purchase-locking capital earlier in the project cycle. The constraint disproportionally affects 250-MW-plus campuses that require a dozen step-down transformers, nudging some hyperscalers toward staggered phase commissioning to de-risk schedule slips inside the North America data center market.
Segment Analysis
By Data Center Size: Large Facilities Command AI Scale
Large campuses ranging from 150 MW to 400 MW represent the fastest-growing size band at a 4.25% CAGR, reflecting hyperscalers’ preference for fewer, bigger footprints to streamline GPU cluster consolidation. Medium facilities still hold 14.93% of the North America data center market size, catering to enterprises seeking dedicated suites but lacking hyperscale volumes. Capital efficiency favors large builds because fixed development costs-substation, fiber, water rights-amortize across more IT load, trimming per-MW spend.
The land-banking race concentrates along high-capacity 230-kV transmission corridors where zoning supports multi-hall campuses. Meta’s 2.5 million-sq-ft DeKalb build embodies the template: 300 MW, liquid immersion bays, and onsite 120 MW spare pad to future-proof AI expansions. Insurance carriers flag aggregation risk; as a result, facility-level redundancy rises to N+2 for chillers and UPS blocks. Together, these factors reinforce the primacy of large-scale campuses in sustaining the North America data center market through 2030.
Note: Segment shares of all individual segments available upon report purchase
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By Tier Type: Tier 4 Adoption Accelerates
Tier 4 halls grew 5.20% CAGR through 2025 and are expected to maintain that clip because fault-tolerant, concurrently maintainable architectures minimize catastrophic GPU training restarts. Tier 3 facilities own 68.94% of the North America data center market share, serving most SaaS and ecommerce tenants that balance uptime against cost. Hardware density drives new Tier 4 design norms such as 100% lithium-ion UPS, segmented power trains, and dual 34.5 kV feeds, lifting capital intensity above USD 15 million per MW.
Financial-services compliance (SOX, PCI DSS) and AI model-training resilience both favor Tier 4, stimulating retrofits of legacy Tier 3 halls with additional distribution paths and controls. The Uptime Institute’s latest Tier Standard clarifies modular expansion methods, prompting operators to pre-plan knock-out panel bays for incremental growth This structured pathway to high availability ensures Tier 4 will capture outsized share of future capex inside the North America data center market.
By Data Center Type: Hyperscale Self-Build Momentum
Self-built hyperscale facilities are forecast to expand 5.10% CAGR, outpacing retail and wholesale colocation, as cloud providers internalize rising AI infrastructure budgets. Colocation retains a 58.79% foothold, offering flexible contracts and network-dense ecosystems for multicloud interconnect. The pivot to self-build stems from economies of scope-cloud operators align power procurement, hardware refresh, and software stack under one umbrella, improving margin leverage.
AWS’s USD 35 billion Virginia expansion typifies the commitment: 12 new halls across two counties, each pre-equipped for liquid cooling and direct-to-chip manifolds. Colocation incumbents counter via powered shell programs and joint ventures that let hyperscalers deploy at scale while retaining operator services. Over the forecast horizon, both models co-exist, but self-builds likely capture incremental high-density GPU deployments at the edge of the North America data center market.
Note: Segment shares of all individual segments available upon report purchase
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By End User: BFSI Leads Incremental Growth
IT and telecom remains the anchor tenant segment with 68.50% share of the North America data center market size, supplying network, CDN, and multicloud backbone workloads. Yet BFSI is set to expand at a 4.39% CAGR as algorithmic trading, fraud analytics, and real-time risk engines require sub-millisecond data paths. JPMorgan Chase’s 60-facility global estate exemplifies large-bank commitment to private compute enclaves for regulated workloads.
Regulatory thrusts-Basel III, SEC Rule 613 CAT-mandate granular data retention and synchronous replication across redundant spread-trading nodes, necessitating Tier 4 or better availability. Fintech disruptors increasingly colocate adjacent to exchange matching engines, boosting demand for micro-colocation cabinets positioned within 50 feet of latency-critical fiber meet-points. As digitization of finance accelerates, BFSI’s share of new MW adds will continue expanding inside the North America data center market.
Geography Analysis
The United States anchors the North America data center market, holding 76.54% share in 2024 thanks to dense fiber grids and deep capital pools. Virginia’s I-95 corridor alone routes more than 70% of global Internet packets and hosts over 2 GW of active IT load, with Microsoft injecting USD 15 billion for AI server farms across the state during 2025. Transmission congestion, however, pushes incremental builds into Texas, Ohio, and Iowa where deregulated power and workable land banks shorten entitlement cycles. Three hundred-mile dark-fiber spurs keep latency below 12 ms to Ashburn, preserving application-level performance.
Canada charts the fastest ascent, clocking a 6.00% CAGR to 2030 on the back of hydro-rich provinces offering delivered power below USD 0.04/kWh and 15-year rate locks. Quebec’s Investissement Québec program couples these rates with property-tax abatements, drawing hyperscalers and colocation giants to Montreal and Lévis for carbon-neutral capacity. Toronto’s existing metro network lifts cross-border connectivity, letting U.S. enterprises satisfy data-sovereignty rules while avoiding East-Coast grid constraints.
Mexico represents the emergent edge, with federal fiber-backhaul projects linking Mexico City, Guadalajara, and Monterrey by 2026. Nearshoring shifts in electronics and automotive manufacturing raise demand for local private-cloud zones supporting factory automation, while revised data-protection statutes encourage national hosting. Although Mexico’s share remains modest today, growth potential lies in modular 5-10 MW edge nodes proximal to industrial parks, a pattern mirroring rural U.S. electric-co-op builds and incrementally enlarging the overall North America data center market footprint.
Competitive Landscape
Moderate consolidation characterizes the North America data center industry, with the top 10 owners controlling roughly 60% of installed MW yet competing across divergent service models. Hyperscalers invest directly in land, power, and cooling innovation to tailor sites for GPU density, forgoing traditional colocation except for expansion bridging capacity. Colocation majors such as Digital Realty and Equinix pivot toward interconnection fabrics and hybrid-cloud on-ramps, embedding SDN overlays that deliver cross-region latency under 15 ms for enterprise multicloud workloads.
Technology differentiation centers on efficiency and sustainability. Operators deploy coolant-distribution units delivering 100 kW per 45U rack, collaborate with pump makers on dielectric fluids, and pilot zero-scope-1 designs featuring diesel-free emergency fuel cells. NVIDIA’s reference architecture codifies these liquid-cooling standards, driving campus retrofits among incumbents unable to air-cool next-generation GPU boards. Players that master high-density thermal management capture premium AI workloads and lock in multi-year power commitments that stabilize revenue streams inside the North America data center market.
M and A remains a strategic lever. Digital Realty’s USD 2.8 billion acquisition of eight CyrusOne sites added 450 MW to its portfolio while deepening hyperscale ties in Dallas, Phoenix, and Toronto. Investors view brownfield expansions as faster paths to revenue than greenfield builds hindered by equipment shortages. Private-equity-backed entrants purchase suburban industrial parks, convert them to 20-MW “edge metros,” and flip stabilized assets at sub-6% cap rates, maintaining transaction velocity despite rising interest rates.
North America Data Center Industry Leaders
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Amazon Web Services, Inc.
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Google Inc.
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Microsoft Corporation
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Digital Realty Trust, Inc.
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Equinix Inc.
- *Disclaimer: Major Players sorted in no particular order
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Recent Industry Developments
- January 2025: Amazon Web Services announced USD 11 billion expansion across Virginia, adding 12 facilities to satisfy AI and cloud demand.
- December 2024: Microsoft and Constellation restarted Three Mile Island Unit 1, yielding 835 MW of carbon-free power under a 20-year agreement.
- December 2024: Digital Realty Trust acquired eight CyrusOne data centers for USD 2.8 billion, strengthening capacity in Dallas, Phoenix, and Toronto.
- October 2024: Google committed USD 20 billion for new U.S. facilities in Ohio, Texas, and Virginia, each powered by 100% clean energy.
- September 2024: Meta broke ground on a 2.5 million-sq-ft, 300-MW campus in DeKalb, Illinois, optimized for AI training.
North America Data Center Market Report Scope
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. Canada, Mexico, United States are covered as segments by Country.
By Data Center Size
| Large |
| Massive |
| Medium |
| Mega |
| Small |
By Tier Type
| Tier 1 and 2 |
| Tier 3 |
| Tier 4 |
By Data Center Type
| Hyperscale/Self-built | ||
| Enterprise/Edge | ||
| Colocation | Non-Utilized | |
| Utilized | Retail Colocation | |
| Wholesale Colocation | ||
By End User
| BFSI |
| IT and ITES |
| E-Commerce |
| Government |
| Manufacturing |
| Media and Entertainment |
| Telecom |
| Other End Users |
By Country
| United States |
| Canada |
| Mexico |
| By Data Center Size | Large | ||
| Massive | |||
| Medium | |||
| Mega | |||
| Small | |||
| By Tier Type | Tier 1 and 2 | ||
| Tier 3 | |||
| Tier 4 | |||
| By Data Center Type | Hyperscale/Self-built | ||
| Enterprise/Edge | |||
| Colocation | Non-Utilized | ||
| Utilized | Retail Colocation | ||
| Wholesale Colocation | |||
| By End User | BFSI | ||
| IT and ITES | |||
| E-Commerce | |||
| Government | |||
| Manufacturing | |||
| Media and Entertainment | |||
| Telecom | |||
| Other End Users | |||
| By Country | United States | ||
| Canada | |||
| Mexico | |||
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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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