PUBLISHER: Grand View Research | PRODUCT CODE: 1908166
PUBLISHER: Grand View Research | PRODUCT CODE: 1908166
The global data center auxiliary equipment market size was valued at USD 67.53 billion in 2025 and is projected to reach USD 164.49 billion by 2033, growing at a CAGR of 11.6% from 2026 to 2033. The growing complexity of supply chains and third-party vendor ecosystems is driving cybersecurity in the critical infrastructure protection market.
The expansion of hyperscale, edge, and colocation data centers is a major driver shaping the growth of the data center auxiliary equipment market. Hyperscale operators, driven by soaring cloud adoption, AI workloads, and enterprise digital transformation, are constructing massive campuses capable of supporting tens of thousands of high-performance servers. These facilities require a broad array of auxiliary equipment, including backup generators, cooling towers, air handling units, pumps, and environmental monitoring systems, to ensure uninterrupted operation, optimal thermal management, and energy efficiency. As these campuses scale in both size and density, auxiliary systems must evolve to handle higher mechanical loads, increased airflow requirements, and the complex distribution of utilities across multiple zones. The demand for modular, high-capacity, and energy-efficient auxiliary solutions is therefore escalating, with operators prioritizing reliability, redundancy, and performance to safeguard mission-critical workloads while optimizing operational expenditure.
The global data center auxiliary equipment market size was valued at USD 67.53 billion in 2025 and is projected to reach USD 164.49 billion by 2033, growing at a CAGR of 11.6% from 2026 to 2033. The growing complexity of supply chains and third-party vendor ecosystems is driving cybersecurity in the critical infrastructure protection market.
The expansion of hyperscale, edge, and colocation data centers is a major driver shaping the growth of the data center auxiliary equipment market. Hyperscale operators, driven by soaring cloud adoption, AI workloads, and enterprise digital transformation, are constructing massive campuses capable of supporting tens of thousands of high-performance servers. These facilities require a broad array of auxiliary equipment, including backup generators, cooling towers, air handling units, pumps, and environmental monitoring systems, to ensure uninterrupted operation, optimal thermal management, and energy efficiency. As these campuses scale in both size and density, auxiliary systems must evolve to handle higher mechanical loads, increased airflow requirements, and the complex distribution of utilities across multiple zones. The demand for modular, high-capacity, and energy-efficient auxiliary solutions is therefore escalating, with operators prioritizing reliability, redundancy, and performance to safeguard mission-critical workloads while optimizing operational expenditure.
The emergence of AI-powered cyber threats is driving the data center auxiliary equipment industry. Attackers are beginning to leverage machine learning to automate reconnaissance, evade detection, and launch more targeted, persistent threats against industrial systems. These advanced techniques make traditional signature-based defenses inadequate, especially in high-value infrastructure environments. To counter this, infrastructure operators are turning to AI-driven threat detection platforms capable of analyzing vast volumes of data, learning behavioral baselines, and flagging anomalies in real time. These solutions improve response time and help identify zero-day vulnerabilities and previously unknown attack patterns, reinforcing security in increasingly complex digital ecosystems.
The shift toward edge computing and distributed digital infrastructure is another compelling driver. Edge facilities, which are often deployed in non-traditional or constrained environments such as urban buildings, industrial sites, and telecom hubs, require auxiliary equipment that is compact, energy-efficient, and highly reliable. Unlike large hyperscale campuses, edge nodes often lack direct access to centralized cooling or power infrastructure, necessitating self-contained, modular, and autonomous auxiliary systems. Equipment such as localized micro-cooling units, small-capacity UPS modules, and intelligent environmental monitoring systems enable edge facilities to maintain operational continuity while minimizing space and energy consumption. As the number of edge facility types grows to support low-latency applications, industrial IoT, and 5G networks, auxiliary equipment tailored to these environments is increasingly in demand.
Furthermore, the integration of intelligent monitoring and automation in liquid and immersion cooling systems is expanding the scope and complexity of auxiliary equipment. Modern auxiliary systems incorporate sensors, flow meters, and fluid quality monitoring tools that provide real-time data on operational status, enabling predictive maintenance and system optimization. This reduces the risk of downtime, enhances equipment lifespan, and ensures that cooling performance remains consistent even during periods of peak demand. By combining automation, analytics, and high-performance auxiliary infrastructure, data center operators can fully leverage the advantages of liquid and immersion cooling technologies, driving continuous investment in this critical segment of the market. TrendForce's report highlights that the introduction of NVIDIA's Blackwell platform is expected to boost the adoption of liquid cooling solutions, increasing their share from approximately 10% in 2024 to more than 20% in 2025.
Global Data Center Auxiliary Equipment Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global data center auxiliary equipment market report based on component, facility type, end-use, and region.