According to the report, the global data center energy management market is projected to expand from USD 6.3 billion in 2025 to USD 16.0 billion by 2035, registering a CAGR of 9.8%, the highest during the forecast period. Rapid expansion of AI, generative AI, and high-performance computing workloads is increasing data center power density, electricity consumption, and cooling requirements. This is strengthening demand for advanced energy monitoring, optimization, and automated control systems capable of managing rapidly changing workloads.
Rising electricity costs, grid constraints, and pressure to accommodate new data center capacity are encouraging operators to optimize power utilization, cooling loads, and demand-response capabilities. Integration of AI, IoT sensors, predictive analytics, and automated controls is enabling real-time adjustment of electrical and thermal systems.
Increasing adoption of liquid cooling for high-density computing is also creating demand for coordinated management of power and cooling infrastructure. Sustainability targets further encourage operators to reduce energy waste, carbon emissions, and operating costs. In August 2026, Trane Technologies and Eaton introduced an integrated power-and-cooling reference design targeting up to 15% energy-efficiency improvement for AI data centers. AI workload growth, grid pressures, and efficiency requirements are accelerating adoption of intelligent and automated data center energy management solutions.
“Key Driver, Restraint, and Growth Opportunity Shaping the Global Data Center Energy Management Market”
Greater connectivity between energy management platforms, power equipment, cooling systems, and facility networks expands the potential cybersecurity attack surface. Compromised monitoring or control systems could disrupt power distribution or cooling operations, creating operational and financial risks. This can make operators cautious about integrating third-party energy platforms into mission-critical infrastructure and increase requirements for secure architectures, access controls, and continuous monitoring.
Data centers can increasingly operate as flexible electricity consumers by coordinating computing workloads, power systems, storage, and renewable generation. AI-based energy management can forecast demand and dynamically adjust consumption in response to grid conditions or electricity prices, creating opportunities for demand response and behind-the-meter optimization. Recent developments show growing interest in using flexible data center loads to relieve grid constraints and accommodate additional AI capacity.
Regional Analysis of Global Data Center Energy Management Market
Prominent players operating in the global data center energy management market are ABB Ltd, Cisco Systems, Cummins Inc., Delta Electronics, Inc., Eaton Corporation, General Electric AG, Huawei Technologies Co., Ltd., Legrand SA, Mitsubishi Electric, Nlyte Software, Panduit Corporation, Rittal GmbH & Co. KG, Schneider Electric SE, Siemens AG, Socomec Group, STULZ GmbH, Sunbird Software, Inc., Toshiba Corporation, Vertiv Holdings Co., Other Key Players.
The global Data Center Energy Management market has been segmented as follows:
Global Data Center Energy Management Market Analysis, By Component
Global Data Center Energy Management Market Analysis, By Solution Type
Global Data Center Energy Management Market Analysis, By Power Source
Global Data Center Energy Management Market Analysis, By Data Center Type
Global Data Center Energy Management Market Analysis, By Deployment Mode
Global Data Center Energy Management Market Analysis, By Technology
Global Data Center Energy Management Market Analysis, By Data Center Size
Global Data Center Energy Management Market Analysis, By Organization Size
Global Data Center Energy Management Market Analysis, By End User
Global Data Center Energy Management Market Analysis, By Region
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