Austria Data Center Market Size and Share
Market Overview
| Study Period | 2019 - 2030 |
|---|---|
| Base Year For Estimation | 2024 |
| Forecast Data Period | 2025 - 2030 |
| Market Size (2025) | USD 233.56 Million |
| Market Size (2030) | USD 329.69 Million |
| Growth Rate (2025 - 2030) | 7.14% 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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Austria Data Center Market Analysis by Mordor Intelligence
The Austrian data center market size is projected to reach USD 233.56 billion in 2025 and is expected to expand to USD 329.69 billion by 2030, representing a 7.14% CAGR. In terms of IT load capacity, the market is expected to grow from 207 MW in 2025 to 316.5 MW by 2030, at a CAGR of 8.86% during the forecast period (2025-2030). Vienna’s dominance, robust hyperscale commitments, and a decisive push toward 100% renewable electricity underpin this trajectory. Growth in IT load capacity is signaling the need for infrastructure optimization to support AI-ready workloads. Operators are prioritizing energy-efficient, large-footprint campuses and leveraging government incentives that accelerate broadband, grid upgrades, and sustainability compliance. Medium facilities still anchor demand, yet Massive sites capture the fastest growth as cloud and AI workloads consolidate. Hyperscale and self-built footprints are eroding colocation’s traditional edge, while the BFSI sector’s digitization places mission-critical uptime at the center of expansion strategies.
Key Report Takeaways
- By hotspot, Vienna is projected to capture 74.79% of the Austrian data center market share in 2024, whereas the Rest of Austria is expected to expand at a 13.20% CAGR through 2030.
- By data center size, Massive facilities accounted for 8.90% CAGR growth between 2025 and 2030, while Medium sites held 51.66% of the Austria data center market size in 2024.
- By tier type, Tier 3 infrastructure retained 51.66% market share in 2024, but Tier 4 facilities are advancing at a 9.70% CAGR to 2030.
- By data center type, colocation led with a 68.31% revenue share in 2024, and hyperscale deployments are forecast to grow at a 15%.14% CAGR through 2030.
- By end user, IT and telecom commanded 45% of the Austria data center market size in 2024, whereas BFSI is growing at a 9.18% CAGR during the forecast horizon.
Austria Data Center Market Trends and Insights
Drivers Impact Analysis
| Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Surge in hyperscale investment commitments post-2025 | +1.8% | Vienna and the Rest of Austria | Medium term (2-4 years) |
| Growth of renewable-energy backed power purchase agreements | +1.2% | National, concentrated in wind-rich regions | Long term (≥ 4 years) |
| Government incentives for digital infrastructure | +0.9% | National, with early gains in Vienna | Short term (≤ 2 years) |
| Rising demand for low-latency edge nodes from Industry 4.0 factories | +1.1% | Rest of Austria, industrial clusters | Medium term (2-4 years) |
| Corporate PPAs for on-site micro-data centers in logistics hubs | +0.7% | Vienna and major logistics corridors | Medium term (2-4 years) |
| AI-driven cooling retrofits unlocking stranded capacity | +0.8% | Vienna and existing facilities | Short term (≤ 2 years) |
| Source: Mordor Intelligence | |||
Surge in Hyperscale Investment Commitments Post-2025
NTT DATA’s USD 10 billion global data center commitment through 2027, along with Microsoft’s new Austrian cloud region, has validated the hyperscale appetite for strategic Central European capacity.[1]NTT DATA, “NTT DATA Expands Global Data Center Footprint with Land Acquisitions Across Seven Strategic Markets,” services.global.ntt Operators are turning toward Vienna for its high interconnection density, while scouting secondary sites near Linz and Graz, as land around the capital becomes increasingly scarce. These moves accelerate a migration from retail colocation toward self-built campuses that integrate AI-optimized silicon, chip-to-chip liquid cooling, and on-site substations. The expansion directly supports land banking, labor, and fiber deployment activities throughout Austria, positioning Massive footprints as the scalability template of choice.
Growth of Renewable-Energy Backed Power Purchase Agreements
Austria aims to add 35 TWh of new renewables by 2030, including 17 TWh from solar and 12 TWh from wind, creating a stable pipeline for 15-year corporate PPAs. VERBUND and Axpo are structuring multitrack wind and hydro portfolios that de-risk energy procurement for hyperscalers. Forward-priced Contracts for Difference ensure predictable cost curves, enabling data center operators to hedge wholesale volatility and meet Scope 2 decarbonization targets. Competitive clean power access has become a key location filter for both multinational tenants and domestic enterprises with Science-Based Targets.
Government Incentives for Digital Infrastructure
The EUR 1.4 billion Digital Austria Act channels grants toward gigabit-speed fiber, rural last-mile projects, and fast-track permitting.[2]European Commission, “Digital connectivity in Austria,” digital-strategy.ec.europa.eu State subsidies cover up to 50% of new fiber trenching expenses in underserved towns, shrinking latency gaps between Vienna and secondary markets. The Renewable Expansion Acceleration Act further streamlines permits for photovoltaic and battery installations when co-located with data centers, favoring operators that integrate on-site generation. Collectively, these measures reduce CapEx payback periods and stimulate early corporate adoption of edge colocation racks, thereby increasing capital efficiency.
Rising Demand for Low-Latency Edge Nodes from Industry 4.0 Factories
Smart factories such as Eaton’s Schrems plant rely on sub-10 ms response times for AI-assisted quality inspection, press automation, and intralogistics orchestration. Localized data processing mitigates backhaul congestion and unlocks the advantages of predictive maintenance. Automotive and engineered-metal clusters in Upper Austria and Styria are collectively deploying thousands of industrial IoT sensors that require decentralized micro-data halls. This driver cultivates a layered topology where Small and Medium facilities backhaul to regional Massive sites for cost-efficient analytics, shifting investment toward the Rest of Austria corridors.
Restraints Impact Analysis
| Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Limited availability of large contiguous land parcels around Vienna | -0.8% | Vienna metropolitan area | Long term (≥ 4 years) |
| Rising construction material costs due to the green steel transition | -0.6% | National | Medium term (2-4 years) |
| Grid-connection queue delays tied to cross-border power flows | -0.5% | National, border regions | Medium term (2-4 years) |
| Increasing scrutiny over water-usage rights in alpine regions | -0.3% | Alpine regions, secondary markets | Long term (≥ 4 years) |
| Source: Mordor Intelligence | |||
Limited Availability of Large Contiguous Land Parcels Around Vienna
Industrial land zoned for high-density power draw is scarce within Vienna’s city limits. Existing sites command premium prices and often face heritage or residential objections that elongate permitting to 24 months or more. Consequently, operators are pre-leasing secondary plots in Lower Austria and Burgenland. While this diffusion supports regional development, it also introduces additional CapEx for substation builds and dark-fiber extensions, nudging new entrants toward hybrid architectures that combine Vienna metro meet-me-rooms with remote white-space pods.
Rising Construction-Material Costs Due to Green-Steel Transition
Voestalpine’s USD 2 billion retrofit of blast furnaces to hydrogen-ready electric arc furnaces increases domestic steel costs by 15-25%.[3]voestalpine AG, “voestalpine launches green steel transition roadmap,” voestalpine.com Data center shells, cages, and raised-floor systems absorb the uplift, inflating total build costs, especially for Tier 4 designs that require extensive redundancy. Smaller developers with thin balance sheets face delayed project milestones or higher debt servicing, consolidating opportunities among global specialists that hedge commodity exposure through volume agreements.
Segment Analysis
By Data Center Size: Massive Facilities Drive Future Growth
Massive campuses experienced an 8.90% CAGR between 2025 and 2030 as hyperscalers consolidated workloads and maximized PUE through custom liquid cooling. Although Medium sites held 51.66% of the Austria data center market size in 2024, their share is gradually eroding as AI training clusters migrate to multi-building compounds. The Austrian data center market size, linked to Massive footprints, is projected to reach USD 98 billion by 2030, supported by advanced substation tie-ins and 60 MW building blocks. Large facilities remain pivotal transition assets for enterprises shifting from on-premises racks, often repurposed as disaster-recovery nodes. Small and edge halls harvest demand from Industry 4.0 and smart-city applications, providing low-latency aggregation before backhauling to regional hubs. This tiered topology anchors a resilient use case mix while reinforcing capital inflows into land-rich outer corridors.
Operators prioritize modular prefabrication to compress build schedules by up to 30% and reduce on-site labor. Existing brownfield conversions around Vienna prune both timelines and permitting complexity, yet they seldom accommodate more than 10 MW increments. As a result, greenfield Massive sites in Lower Austria and Styria are absorbing outsized investment. The resulting geographic dispersion aligns with grid reinforcement roadmaps and renewable power corridors.
Note: Segment shares of all individual segments available upon report purchase
By Tier Type: Tier 4 Growth Reflects Mission-Critical Demands
Tier 3 facilities maintained a 51.66% share of the Austrian data center market size in 2024 by balancing cost and redundancy; however, Tier 4 footprints are expanding at a 9.70% CAGR, driven by BFSI and healthcare workloads. The Austrian data center market share for Tier 4 sites is set to increase as institutions adopt zero-downtime policies mandated by the EU Digital Operational Resilience Act reporting requirements. Operators justify elevated CapEx through premium pricing and multi-year take-or-pay contracts. Meanwhile, Tier 1 and Tier 2 halls cater to development and test environments, as well as disaster-recovery nodes, although their growth lags as enterprises shift critical systems to higher redundancy tiers.
Efficiencies such as distributed redundant switchboards and rack-level battery arrays help close the opex gap between Tier 3 and Tier 4, accelerating the latter’s adoption. Financial services and digital health platforms showcase early migrations, citing regulatory audits and cyber resilience ratings.
By Data Center Type: Hyperscale Disrupts Traditional Colocation
Colocation retained 68.31% of the revenue in 2024 by aggregating corporate tenants, yet the hyperscale and self-built segment is projected to track a 15.14% CAGR through 2030. Hyperscalers secure long-term PPAs, construct 50 MW blocks, and leverage automation that slices opex below USD 0.05 per kWh delivered, undercutting retail colocation. Consequently, the Austrian data center market is shifting toward joint-venture campuses, where anchor hyperscalers pre-lease up to 60% of the capacity, thereby reducing the risk for developers. Enterprise edge nodes stay relevant for latency-sensitive use cases, including autonomous logistics hubs on Vienna’s freight belt.
Operators such as CANCOM Austria integrate sovereign cloud rooms into hyperscale cores to retain mid-market clients that require data residency assurances. This hybrid pairing sustains colocation as an onboarding path rather than an end state, cushioning revenue transitions over the forecast horizon.
Note: Segment shares of all individual segments available upon report purchase
By End User: BFSI Leads Digital Transformation
IT and telecom accounted for 45% of the Austrian data center market size in 2024, leveraging 5G backhaul densification and cloud adoption. BFSI, however, posts the fastest 9.18% CAGR as digital banking, instant payments, and Basel III risk analytics heighten compute intensity. Banks migrate core systems to Tier 4 rooms in Vienna or redundant pods in St. Pölten, locking 10-year leases with integrated key-management hardware. Manufacturing’s adoption of real-time analytics in automotive stamping lines accelerates its share of edge rack demand, while government agencies digitize citizen services under the Digital Austria Act. Media and entertainment entities tap regional Massive sites for 8K streaming caches, and e-commerce platforms expand micro-fulfillment nodes tied to enterprise edge racks.
Regulatory shifts, such as the EU sustainability rating scheme, prompt all verticals to report Power Usage Effectiveness (PUE) and Water Usage Effectiveness (WUE) on an annual basis, creating a virtuous cycle for efficient designs.
Geography Analysis
Vienna’s mature fiber mesh, academic talent, and proximity to EU institutions contributed to a 74.79% Austrian data center market share in 2024. New entrants exploit the city’s premium peering lodges within the Floridsdorf corridor, sustaining low-latency hops to Frankfurt and Prague. Yet, escalating land prices spur expansions into the Rest of Austria, which is gaining momentum at a 13.20% CAGR through 2030. Lower Austria offers 30-hectare industrial plots with pricing under €50 per square meter, making them attractive for 100 MW campuses. Grid reinforcement projects budgeted at EUR 18.61 billion by 2030 backstop power headroom in peripheral regions.
Vienna remains the nerve center of enterprise IT, housing federal ministries, stock exchanges, and the headquarters of numerous global companies. Its entrenched metro dark-fiber grid and redundant 110 kV power loops sustain sub-1.3 PUE averages at flagship facilities. However, land scarcity pushes developers to retrofit warehouses, an approach that limits contiguous expansion to 5 MW per hall. Utility interconnection requests now queue for up to 15 months as cross-border flows with Slovakia and Hungary saturate existing lines. In response, operators adopt on-site battery-assisted peaks to shave grid draw during seasonal spikes.
Lower Austria and Upper Austria are absorbing hyperscale spillover, aided by highway fiber ducts and proximity to wind farms, which cut PPA premiums by 8%. Graz and Linz each offer university talent pools and STEM incubators, narrowing skill-set gaps previously exclusive to Vienna. Styria’s hydro-backed substations supply 99.9% renewable energy mixes, attracting sustainability-focused U.S. hyperscalers conducting EU data-sovereignty assessments.
Austria’s central location enables facilities to deliver sub-25 ms round-trip latency to Warsaw, Milan, and Munich, a unique cross-regional advantage that is further enhanced by the July 2025 Vienna-Zürich dark-fiber route.[4]A1 International Services, “Fastest dark fiber Vienna-Zürich,” internationalbusiness.a1.group Upcoming 400 kV transmission upgrades, co-funded by EU TEN-E initiatives, further relieve capacity bottlenecks, making the Rest of Austria's growth trajectories credible against Vienna’s incumbent gravity.
Competitive Landscape
Global colocation giants Digital Realty and NTT Corporation collectively operate more than 80 MW of data centers in Vienna, utilizing standardized designs that compress procurement cycles and align with enterprise multi-region contracts. Digital Realty’s ServiceFabric suite embeds cross-connect orchestration into its Vienna campus, supporting BFSI API call redundancy. NTT’s three-story modular blocks enable single-tenant pods for AI accelerators. Local champions Raiffeisen Rechenzentrum and conova communications differentiate on proximity, German-language support, and integrated managed services.
Competition pivots on renewable procurement, grid connection lead times, and sovereign cloud certifications. Operators advertise guarantees of 95-100% renewable supply, verified by Austrian Energy Agency certificates. CANCOM Austria’s sovereign data rooms, powered by HPE GreenLake, deliver hosted SAP HANA instances that comply with strict data-residency clauses, challenging multinationals to match these granular legal assurances. Meanwhile, build-to-suit developers such as DC-Squared bundle land acquisition and substation builds into turnkey packages, attracting U.S. edge operators seeking rapid entry into the EU.
Mergers focus on acquiring dark-fiber corridors and land parcels. With materials inflation adding up to 20% to shell costs, capital-rich players consolidate to leverage bulk procurement and hedge steel volatility. Vienna’s saturation fosters a barbell structure where global titans crowd the urban core and agile regional firms carve out edge niches in industrial towns.
Austria Data Center Industry Leaders
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Digital Realty Trust Inc.
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NTT Corporation
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Exoscale
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SAP SE
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IBM Corporation
- *Disclaimer: Major Players sorted in no particular order
Recent Industry Developments
- May 2025: NTT DATA acquired strategic land in Frankfurt and Berlin as part of a USD 10 billion expansion, positioning Austria for spillover demand.
- May 2025: Kontron AG reported EUR 385.4 million (USD 425.7 million) in Q1 revenue, up 8.2% year-over-year, underscoring Austrian momentum in IoT and edge computing.
- March 2025: The European Commission adopted a binding sustainability rating scheme for data centers, effective September 2024, elevating reporting mandates.
- January 2025: A1 Telekom Austria and Sunrise announced the fastest Vienna-Zürich dark-fiber route, operational July 2025.
Austria Data Center Market Report Scope
Vienna 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.| Large |
| Massive |
| Medium |
| Mega |
| Small |
| Tier 1 and 2 |
| Tier 3 |
| Tier 4 |
| Hyperscale/Self-built | ||
| Enterprise/Edge | ||
| Colocation | Non-Utilized | |
| Utilized | Retail Colocation | |
| Wholesale Colocation | ||
| BFSI |
| IT and ITES |
| E-Commerce |
| Government |
| Manufacturing |
| Media and Entertainment |
| Telecom |
| Other End Users |
| Vienna |
| Rest of Austria |
| 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 Hotspot | Vienna | ||
| Rest of Austria | |||
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. |
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
