Data Center Automation Market Size and Share
Market Overview
| Study Period | 2021 - 2032 |
|---|---|
| Market Size (2027) | USD 26.22 Billion |
| Market Size (2032) | USD 89.56 Billion |
| Growth Rate (2027 - 2032) | 27.85 % |
| Fastest Growing Market | Asia Pacific |
| Largest Market | North America |
| Market Concentration | Medium |
Major Players *Disclaimer: Major Players sorted in no particular order Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0. | |
Data Center Automation Market Analysis by Mordor Intelligence
The data center automation market size is projected to expand from USD 20.51 billion in 2026 to USD 89.56 billion by 2032, registering a CAGR of 27.85% between 2027 and 2032. AI and high-performance computing workloads are changing how the data center automation market serves operators that plan, run, and expand critical infrastructure. Large cloud providers are increasing investment in capacity and AI infrastructure, which raises the need for automation that can connect new equipment blocks quickly and reliably. The data center automation market is also moving toward integrated systems that combine facility control, power monitoring, and software-based operations. Energy rules and efficiency targets are making automated monitoring more important across the data center automation market. Vendors that can provide tested modular designs and integrated control platforms have a stronger position as deployment schedules become shorter.
Key Report Takeaways
- By component type, hardware held 41.08% of revenue in 2026, while software is projected to expand at a 32.79% CAGR through 2032.
- By data center size, hyperscale facilities are projected to record the highest CAGR, at 34.52%, through 2032, and the segment generated 39.43% share in 2026.
- By tier type, Tier 3 accounted for 55.27% of revenue in 2026, while Tier 4 is projected to grow at a 34.01% CAGR through 2032.
- By geography, North America held 39.24% of revenue in 2026, while Asia-Pacific is projected to expand at a 33.37% CAGR through 2032.
Note: Market numbers in this report are based on Mordor Intelligence's proprietary estimation framework, which combines nine months of actuals with Q4 projections for base year 2026.
Market Trends and Insights
Drivers Impact Analysis of Data Center Automation Market*
| Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Surge in AI and HPC Workloads Driving Automation Reliability | +7.5% | Global, concentrated in North America, Asia-Pacific, and European data center hubs | Medium term (2-4 years) |
| Growing Automation and Monitoring Demand in Hyperscale Data Centers | +6.5% | Global, with North America and Asia-Pacific leading hyperscale build-out | Short term (≤ 2 years) |
| Energy Efficiency and Sustainability Targets in Tier 3 and Tier 4 Facilities | +4.0% | Global, with strongest regulatory pressure in Europe, Germany, and Japan | Long term (≥ 4 years) |
| Rising Integration of PLCs and BMS in HVAC, Power, and Cooling Systems | +3.5% | Global, with rapid adoption in hyperscale and colocation facilities | Short term (≤ 2 years) |
| Modernization of Legacy Building Automation and Control Infrastructure | +2.5% | North America and Europe, where aging enterprise and colocation portfolios are largest | Medium term (2-4 years) |
| Increased Investments by Colocation and Retail Operators in Control Systems | +2.0% | Global, with acceleration in South America, Middle East and Africa, and Southeast Asia | Medium term (2-4 years) |
| Source: Mordor Intelligence | |||
Surge in AI and HPC Workloads Driving Automation Reliability
The data center automation market is gaining from AI workloads that create more demanding power, cooling, and control conditions. A GPU cluster using more than 1 MW per rack can create sub-second changes in power demand. These changes require coordinated control across cooling, power distribution, and uninterruptible power supply systems. Meta deployed unified AI agents for autonomous capacity efficiency across its global hyperscale infrastructure in May 2026, showing how operators are applying closed-loop control to reliability needs. The International Energy Agency projects global data center electricity use will reach 945 TWh by 2030, with accelerated servers accounting for almost half of the net increase in demand.[1] Colocation operators hosting AI inference in Tier 3 facilities are now bringing these needs into the data center automation market, alongside hyperscale campuses.
Growing Automation and Monitoring Demand in Hyperscale Data Centers
The data center automation market is being shaped by hyperscale campuses built around modular, pretested automation blocks. This approach reduces reliance on bespoke engineering at each site and supports phased capacity additions. Siemens, NVIDIA, and Fluence published a reference architecture in June 2026 for a 136-MW facility with a 100-MW IT load. The design used factory-tested medium- and low-voltage skids and aligned the facility with NVIDIA DSX Vera Rubin. Vendors that can provide validated designs for hyperscaler compute systems can build longer-term procurement relationships. The model also makes it harder for suppliers without proven interoperability and tested reference designs to compete for large projects.
Energy Efficiency and Sustainability Targets in Tier 3 and Tier 4 Facilities
The data center automation market is driven by energy-efficiency regulations that make automated control a compliance requirement. Germany requires new data centers commissioned from July 2026 to reach a power usage effectiveness value of 1.2 or lower. Existing German facilities must meet limits of 1.5 by July 2027 and 1.3 by July 2030, with noncompliance subject to fines of up to EUR 100,000 (USD 112.87 thousand). Japan announced that new facilities established from fiscal year 2029 must meet a power usage effectiveness of 1.3 or lower, and that reporting obligations now extend to cloud tenant operators. These requirements broaden the demand for monitoring and reporting of energy performance from facility owners to infrastructure users. ASHRAE 90.4-2025 also brought greenhouse gas emissions and water consumption into its scope, increasing the importance of control systems that track environmental measures.
Rising Integration of PLCs and BMS in HVAC, Power, and Cooling Systems
The data center automation market is benefiting from the integration of programmable logic controllers and building management systems. AI-era facilities need cooling, HVAC, and power systems to operate as a coordinated control layer. Emerson introduced its DeltaV Automation Platform for Data Centers on August 3, 2026, combining distributed control systems and programmable logic controllers into a single architecture. Operators increasingly seek systems that natively support Redfish, BACnet, Modbus, OPC UA, SNMP, and REST APIs. For the data center automation market, this support can reduce the need for protocol converters and ease direct integration with management platforms. Integrated control systems can also shorten installation time when deployed across power, mechanical, and thermal equipment.
Restraints Impact Analysis of Data Center Automation Market*
| Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| High Capital and Integration Costs | -3.5% | Global, most pronounced in small and medium data centers and emerging markets | Medium term (2-4 years) |
| Complex Interoperability Across Multi-Vendor Systems | -2.5% | Global, with highest friction in enterprise and colocation facilities with mixed-vendor estates | Long term (≥ 4 years) |
| Cybersecurity Risks Associated with Connected Automation Networks | -1.5% | Global, most acute in North America and Europe where OT and IT convergence is furthest advanced | Medium term (2-4 years) |
| Shortage of Skilled Automation and Controls Personnel | -1.0% | Global, particularly constraining in Asia-Pacific emerging markets and Middle East and Africa | Long term (≥ 4 years) |
| Source: Mordor Intelligence | |||
High Capital and Integration Costs
High capital and integration costs remain a constraint for the data center automation market, especially outside hyperscale and Tier 3-plus facilities. A full deployment can combine programmable logic controllers, direct digital controllers, sensors, SCADA, and data center infrastructure management software with legacy equipment. Integration costs can equal 15-25% of hardware procurement value when mixed-vendor systems need custom protocol bridging. German operators invested EUR 3.5 billion (USD 3.95 billion) in buildings and technical equipment in 2025, including EUR 2.5 billion (USD 2.82 billion) for cooling, power supply, and other building systems. In the data center automation market, smaller operators have fewer opportunities to spread this spending across very large campuses. The constraint increases demand for recurring monitoring, maintenance, and support services, enabling customers to stage modernization work.
Complex Interoperability Across Multi-Vendor Systems
The data center automation market faces interoperability challenges because large facilities use equipment from many suppliers. A typical site can operate chillers, CRAH units, switchgear, uninterruptible power supplies, and generator panels from 5 or more manufacturers. These systems may use proprietary protocols or standards such as BACnet, Modbus, SNMP, and OPC UA. A common integration layer is needed before the data center automation market can deliver supervisory control across the estate. The challenge becomes greater at a 100 MW campus, where thousands of endpoints can create firmware and protocol compatibility issues. Research published by ISACA in 2025 noted that connections between formerly separate IT and operational technology systems introduce additional security risk surfaces.
*Our forecasts treat driver/restraint impacts as directional, not additive. The impact forecasts reflect baseline growth, mix effects, and variable interactions.
Data Center Automation Market Segment Analysis
By Component Type:
Software Takes a Larger Role in ProcurementHardware accounted for 41.08% of the data center automation market share in 2026. Programmable logic controllers, direct digital controllers, sensors, and human-machine interface panels remain the physical control base for new facilities. Hardware demand follows the present hyperscale build-out cycle. Software is projected to expand at a 32.79% CAGR from 2027 to 2032. The data center automation software market size is driven by recurring licensing, analytics subscriptions, and AI optimization services.
Building management, SCADA, data center infrastructure management, and digital twin capabilities are increasingly delivered as integrated cloud-connected suites. Vertiv introduced its SmartRun digital twin within the NVIDIA Omniverse DSX framework in June 2026.[2] The launch shows that digital twins are becoming part of normal procurement requirements. Services include design, consulting, system integration, installation, retrofitting, and modernization. The data center automation industry also benefits when providers connect new software with legacy controls.
By Data Center Size:
Hyperscale Facilities Set the PaceHyperscale facilities are projected to record a 34.52% CAGR between 2027 and 2032. These campuses are moving from permitting to construction and commissioning as cloud providers expand AI capacity. Facilities with more than 5,000 servers per data hall have interconnected power, thermal, and workload requirements. Closed-loop automation is therefore becoming an operational requirement. The data center automation market size for hyperscale facilities is tied to multi-hundred-megawatt projects that require scalable control systems.
Large data centers with 10 MW-100 MW of IT load are another demand base for colocation campuses and enterprise private cloud upgrades. They are seeking prefabricated power and control modules suited to 6- to 12-month project schedules. Medium and small facilities are beginning to use more affordable all-in-one controller platforms with native management integration. International Finance Corporation analysis identified rising investment in Malaysia, Indonesia, Brazil, and Mexico in 2026. These newer sites can apply modern control systems at commissioning rather than connect them to older equipment already installed.
By Tier Type:
Tier 4 Demand Rises With Reliability RequirementsTier 3 held 55.27% of revenue in 2026. Its concurrent maintainability standard has become a common specification for hyperscale campuses and major colocation facilities. This standard requires sophisticated building management and SCADA capabilities to ensure maintenance can proceed without interrupting service. Tier 4 is projected to expand at a 34.01% CAGR from 2027 to 2032. The data center automation market size for Tier 4 facilities is supported by financial services, government, and sovereign AI operators that require fault-tolerant architectures.
These operators seek uptime performance of 99.995% or higher. CtrlS Datacenters secured INR 7,000 crore (USD 742 million) from CPP Investments in June 2026 for hyperscale campus development in India. Tier 1 and Tier 2 facilities account for a declining portion of new automation purchases but still support retrofit demand. Their large installed base in North America and Europe creates a need for staged upgrades. This work can improve operational visibility while operators retain functioning legacy equipment.
Geography Analysis
North America Data Center Automation Market
North America held 39.24% of the data center automation market share in 2026. The region is anchored by hyperscale development in Northern Virginia, Phoenix, the Pacific Northwest, Kansas City, and Atlanta. The data center automation market benefits as large cloud providers seek shorter deployment schedules. Vendors with certified modular designs and pretested builds can reduce time spent on site commissioning. Equinix invested USD 36 million in efficiency improvements in 2025, including advanced cooling and intelligent monitoring, and improved its global annualized average power usage effectiveness by 5.3% year over year.
Europe has strong regulatory demand and major campus clusters in Frankfurt, Amsterdam, London, and Dublin. Expansion into Sweden, Norway, and Finland reflects a search for access to renewable energy. Germany requires a power usage effectiveness value of 1.2 or lower for new facilities commissioned from July 2026. German operators invested EUR 3.5 billion (USD 3.95 billion) in buildings and technical equipment in 2025 as installed capacity reached 2,980 MW.
Asia-Pacific is projected to expand at a 33.37% CAGR from 2027 to 2032. Sovereign AI programs and campus commissioning in India, Japan, Malaysia, Indonesia, and Australia support the region's demand. Japan requires existing facilities to achieve a power usage effectiveness of 1.4 or lower by fiscal year 2030, and new data centers to achieve 1.3 or lower starting fiscal year 2029. JERA, Dell Technologies, and RHAELM announced plans for kW 400,000-kW AI data center at JERA's Chiba power plant site in October 2026.[3] South America is attracting international infrastructure investment through Brazil and Mexico, while the UAE is a key center for activity in the Middle East and Africa.
Competitive Landscape
The data center automation market is moderately consolidated at the platform level. Siemens AG, Schneider Electric SE, ABB Ltd., Emerson Electric Co., Honeywell International, and Johnson Controls International compete through hardware, software, and services portfolios. Their position depends on alignment with hyperscaler equipment and operating models. Schneider Electric and Hon Hai Technology Group, also known as Foxconn, announced a strategic collaboration in 2026.[4] The collaboration combined Foxconn's computing capabilities with Schneider Electric's power, cooling, and energy management systems.
ABB announced its HiPerGuard 34.5 kV system at Data Center World Washington in 2026. The product achieved UL 9540 certification and provides 98% operating efficiency while removing 1 voltage conversion stage. ABB stated that each percentage point of efficiency gain at a 100 MW facility can translate into USD 880,000 in annual savings. Schneider Electric also unveiled software-defined medium-voltage switchgear in September 2026 and deployed it with Equinix. These actions bring software differentiation to equipment that was historically purchased mainly as hardware.
The data center automation market has open opportunities in the Asia-Pacific mid-market, especially in Japan, India, Malaysia, and Indonesia. North American and European retrofit projects also offer demand from aging equipment estates. Netris raised USD 15 million in Series A funding in June 2026 to automate network provisioning beneath GPU clusters. Specialists can compete in focused areas, but platform vendors have advantages when customers need proven multi-system integration.
Data Center Automation Industry Leaders
-
VMware Inc.
-
Cisco Systems Inc.
-
IBM Corporation
-
Microsoft Corporation
-
Hewlett Packard Enterprise Company
- *Disclaimer: Major Players sorted in no particular order
Data Center Automation Market Companies Covered in this Report
- Siemens AG
- Schneider Electric SE
- Rockwell Automation, INC.
- ABB LTD.
- Mitsubishi Electric Corporation
- Honeywell International INC.
- Emerson Electric Co.
- Omron Corporation
- Delta Electronics, INC.
- Johnson Controls International PLC
- Phoenix Contact
- Eaton Corporation PLC
- WAGO
- Beckhoff Automation GmbH & Co. KG
- B&R Industrial Automation GmbH (ABB LTD.)
Global Data Center Automation Market Report Scope
Energy and water transparency obligations, rising AI rack densities, and multi-site operating models are opening whitespace for automation platforms that unify IT orchestration with facilities control and compliance reporting. In the EU, reporting requirements under Commission Delegated Regulation (EU) 2024/1364 increase the value of always-on monitoring, automated data quality checks, and tenant-aware reporting for colocation operators, creating demand for software that can bridge DCIM-style telemetry with infrastructure-as-code, policy enforcement, and audit trails. Standardization also reduces integration friction for multivendor estates, with ISO/IEC TS 8236-1:2025 and ISO/IEC TS 8236-2:2025 providing a KPI backbone for provisioning and capacity planning, and ISO/IEC TS 22237-31:2026 defining resilience KPIs that can be embedded into automated runbooks and service-level governance.
A second opportunity area is the shift toward higher autonomy in physical operations, where control loops expand from basic threshold-based alarms into model-predictive optimization across cooling, power, and airflow. Real-world pilots and product launches during 2026 reinforce this direction: the UAE Ministry of Energy and Infrastructure, Khazna Data Centers, Agility, and Phaidra launched an AI efficiency pilot to deploy AI control across selected Khazna campuses, and vendors introduced autonomy-focused platforms for continuous facility operations, including PassiveLogic Level 3 Autonomy and Noda agentic automation for building operations. At the same time, enterprise and hyperscale buyers are converging on programmable infrastructure interfaces (such as DMTF Redfish) and quality management initiatives (TIA work on the Data Center Excellence, DCE 9000 standard) to reduce bespoke integrations, supporting broader movement toward API-first, closed-loop automation across compute, network, storage, and facility layers.
Recent Industry Developments in Data Center Automation Market
- September 2026: Schneider Electric unveiled the world's first software-defined medium voltage switchgear at YOTTA 2026, deployed live with Equinix in a colocation data center. The company also introduced the RM AirSeT 38 SF6-free gas-insulated switchgear platform extending to 38 kV for next-generation AI data centers. The announcement marked the use of software control within medium-voltage distribution infrastructure. It also linked switchgear design more closely with the facility management systems used in the data center automation market. The live Equinix deployment placed the equipment in an operating colocation setting rather than limiting the announcement to a product demonstration. This gave the launch direct relevance for operators evaluating medium-voltage distribution in AI-ready facilities.
- September 2026: Hitachi launched HMAX Data Center, an integrated operations solution combining IT and OT capabilities under a unified management service. HARC for Data Center initially targeted North America, with availability in Japan planned from January 2027. The launch reflects Hitachi's effort to apply industrial automation capabilities in digital infrastructure operations. The service brings operational coordination into a single management approach for customers running complex facilities. It addresses the need to manage information technology and operational technology functions together as operating models become more interconnected. Japan's availability from January 2027 also extends the planned service rollout beyond its initial North American focus.
- August 2026: Emerson introduced the DeltaV Automation Platform for Data Centers, a unified system combining DeltaV DCS and DeltaV PLCs to coordinate thermal, mechanical, and electrical subsystems for AI-scale facilities. Embedded AI accelerates engineering workflows and provides advanced process control to compress gigawatt-scale facility deployment timelines. The platform was designed to address the separate equipment layers that operators must manage during AI infrastructure deployment. Its combination of distributed control systems and programmable logic controllers places thermal, mechanical, and electrical functions within the same automation architecture. That structure is intended to support complex facilities during their engineering and commissioning stages.
- June 2026: Siemens, NVIDIA, and Fluence published a reference architecture for a 136 MW data center with a 100 MW IT load. The design aligns with NVIDIA DSX Vera Rubin and uses pre-engineered, factory-tested medium- and low-voltage skids. It also includes Fluence Smartstack battery energy storage for AI load smoothing and grid demand response. The reference architecture gives project teams a defined model for staged capacity additions without a fundamental redesign. Factory-tested skids can reduce the work completed after arrival at the site and support consistent deployment methods across phased builds. The inclusion of battery energy storage also connects facility planning with AI load smoothing and grid response needs.
Data Center Automation Market Report Scope and Research Methodology
Market Definition and Coverage
For this study, the data center automation market covers revenues earned from software and related services that automate provisioning, monitoring, orchestration, and policy based operations across compute, storage, and networking in data centers.
Scope exclusions: We exclude data center construction and fit-out, facility hardware sales, and pure managed hosting or colocation rental fees that are not tied to automation software usage.
Segments Covered in This Report
- By Component Type
- Hardware
- Programmable Logic Controllers (PLCs)
- Direct Digital Controllers (DDCs)
- Remote I/O and Field Controllers
- Sensors and Monitoring Devices
- Gateways and Communication Devices
- Human Machine Interface (HMI) Panels
- Other Automation Hardware (Others include industrial PCs (IPCs), edge controllers, protocol converters, industrial network switches, embedded automation controllers, among others)
- Software
- Building Management and Automation Systems (BMS/BAS)
- Supervisory Control and Data Acquisition (SCADA)
- Data Center Infrastructure Management (DCIM)
- Digital Twin Platforms
- Analytics and Optimization Software
- Other Automation Software (Others include engineering and configuration software, historian software, alarm management software, among others)
- Services
- Design and Consulting Services
- System Integration Services
- Installation and Commissioning Services
- Monitoring, Maintenance, and Support Services
- Retrofit and Modernization Services
- Hardware
- By Data Center Size
- Hyperscale
- Large
- Medium
- Small
- By Tier Type
- Tier 1 and 2
- Tier 3
- Tier 4
- By Geography
- North America
- United States
- Canada
- Mexico
- Europe
- Germany
- Netherlands
- United Kingdom
- Ireland
- Spain
- Italy
- Sweden
- Norway
- Finland
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- Indonesia
- Australia
- Singapore
- Malaysia
- Vietnam
- Thailand
- Taiwan
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Chile
- Argentina
- Rest of South America
- Middle East and Africa
- Saudi Arabia
- United Arab Emirates
- South Africa
- Nigeria
- Egypt
- Rest of the Middle East and Africa
- North America
Data Sources, Market Sizing, and Validation
Desk Research
Desk research helped set clear definitions and collect the baseline indicators used to build the market model. We referenced non-paywalled public sources such as the International Energy Agency for electricity demand context, the US Energy Information Administration for energy price direction, the International Telecommunication Union for internet and traffic indicators, and the World Bank for macro and investment indicators that influence data center build activity.
We also used sources such as customs and trade statistics portals for high-level import and export signals tied to data center equipment flows, peer reviewed journals for automation and operations best practices, and data center association websites for terminology and adoption themes. To sanity check supplier direction, we reviewed SEC filings, annual reports, and investor presentations, and supplemented with paid subscriptions for company financials and intelligence, news and financials, and patent databases. The sources listed here are illustrative only, and we used additional public and paid references for data collection, validation, and clarification.
Primary Interviews and Surveys
Primary work focused on confirming how buyers define automation, which modules are commonly deployed, and how pricing changes with scale, deployment mode, and support needs. We spoke with operators, integrators, and solution specialists across APAC, EMEA, and the Americas to close gaps from desk research and recheck assumptions before finalizing totals.
Distribution of primary research fieldwork respondents
| Company type | Respondent position | Region |
|---|---|---|
| Top tier: 26% | CXOs: 12% | APAC: 44% |
| Mid tier: 59% | Functional/Unit leaders: 31% | EMEA: 29% |
| Smaller Players: 15% | Managers: 57% | Americas: 27% |
Market-Sizing & Forecasting
Sizing started with a top-down build that reconstructs the addressable spend by linking data center operations needs to adoption of automation software and services across enterprise, colocation, hyperscale, and edge environments. The demand pool was shaped using practical indicators such as data center capacity additions, expansion activity in cloud and colocation, workload virtualization and container usage, typical software spend intensity by facility type, and the split between on-premises and cloud delivered automation.
To keep totals realistic, we corroborated results with selective bottom-up checks. These included sampled supplier revenue splits, channel checks with integrators, and simple module volume times ASP checks for common automation functions. When direct splits were not available, we filled gaps through peer benchmarking of similar automation modules, then applied conservative capture ratios reviewed in interviews.
Forecasts were produced using scenario analysis anchored to capacity and workload outlooks, then adjusted for expected pricing and packaging changes. Inputs such as AIOps adoption, staffing constraints in operations teams, energy efficiency programs, and refresh cycles of orchestration platforms were used as directional levers, and the final forecast path was aligned to what respondents described as executable budgets.
Data Validation & Update Cycle
Outputs were checked against independent signals, including the pace of data center capacity growth, major cloud and colocation expansion announcements, and reported software revenue direction from relevant public filings. When a sharp jump or dip appeared without support from these signals, we revisited the underlying assumptions and ran targeted follow-ups to confirm whether the change was temporary or structural.
Before sign-off, the model goes through multi-step analyst review so unit assumptions, currency treatment, and regional roll ups remain consistent across years. Reports are refreshed annually, and interim updates are triggered by material events such as pricing shifts, regulation led reporting changes, or step changes in deployment patterns. Right before delivery, an analyst completes a final pass to ensure the latest updated view is reflected.
Mordor Intelligence's Global Data Center Automation Market Market Size Compared With Other Published Estimates
Different market values for data center automation often appear even when the topic name looks similar. The spread usually comes from differences in how each publisher defines automation, the reference year, and how adoption and pricing assumptions are carried into the forecast.
Some published figures include broader operational spend, including managed services and facility related categories that sit next to software. For Mordor Intelligence, revenue is counted only when it is tied to automation software and integrated orchestration used to provision, monitor, and optimize compute, storage, and network resources. Facility build, stand-alone hardware, and rack rental fees sit outside scope.
Benchmark comparison
| Source | Market Size | Gaps in Research Methodology |
|---|---|---|
| Mordor Intelligence | USD 20.51 B (2026) | |
| Global Consultancy A | USD 11.61 B (2025) | The value is stated for an earlier year, and the public scope description is high level, which can shift what modules and service elements are counted and how ASP progression is applied. |
| Industry Publisher B | USD 12.09 B (2025) | The sizing is anchored to solution buckets (storage, network, server), which can double count overlapping orchestration layers when platforms are bundled, and it uses a different base year for currency and adoption assumptions. |
The comparison indicates that base year selection and scope treatment for bundled platforms versus adjacent services explain most of the variance. With clear inclusion rules and repeatable checks against capacity growth and adoption signals, the final number remains traceable across regions and over time.
Key Questions Answered in the Report
What is the size of the data center automation market?
The sector was USD 20.51 billion in 2026 and is projected to reach USD 89.56 billion by 2032.
What is driving demand for data center automation?
AI and high-performance computing workloads increase the need for coordinated power, cooling, and control systems. Energy efficiency requirements also support adoption.
Which component has the largest share?
Hardware held 41.08% of revenue in 2026 because programmable logic controllers, controllers, sensors, and interface panels remain essential facility equipment.
Which facility type is expanding fastest?
Hyperscale facilities are projected to expand at a 34.52% CAGR through 2032 as large AI-focused campuses move into construction and commissioning.
Which region leads the data center automation sector?
North America held 39.24% of revenue in 2026, while Asia-Pacific is projected to expand at a 33.37% CAGR through 2032.
Why do Tier 4 facilities need advanced automation?
Tier 4 sites need fault-tolerant and fully redundant operations, which require coordinated building
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- Data Center Managed Services Market Managed services across the global market, covering service type, deployment model and facility type.
- Spain Artificial Intelligence (AI) Data Center Market AI facilities demand across Spain, covering facility type, component and tier.
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- Italy Data Center Networking Market Networking demand across Italy, covering component, end-user and data-center type.
- Spain Hyperscale Data Center Market Hyperscale sites in Spain, split by facility type, component and tier.
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