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Data Center Automation Market Forecast: What Value Will The Market Reach By 2030?
The data center automation market has experienced substantial growth in recent years. This market is projected to expand from $12.45 billion in 2025 to $14.59 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 17.2%. Historically, this growth can be attributed to several factors, including the advancement of virtualization technologies, increasing volumes of enterprise data, the growing complexity of IT operations, the necessity for improved system uptime, and the embrace of centralized infrastructure management.
The data center automation market size is projected to experience substantial growth in the upcoming years. This market is projected to reach $27.55 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 17.2%. This anticipated growth during the forecast period stems from factors such as AI-based predictive operations, the increasing prevalence of hybrid cloud environments, an emphasis on optimizing energy efficiency, growing adoption among SMEs, and the demand for scalable and agile IT infrastructure. Key developments expected in this period encompass AI-driven data center operations, cloud-native automation platforms, IoT-enabled infrastructure monitoring, energy-efficient automated data centers, and intelligent manufacturing data integration.
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Data Center Automation Market Growth Factors Behind Sustained Expansion
The escalating volume and rapid velocity of data generation are projected to propel the expansion of the data center automation market moving forward. Data generation involves the creation or production of data from various sources and activities. This phenomenon is growing due to the widespread adoption of digital technologies, including smartphones, IoT devices, social media platforms, and online transactions, all of which continually generate vast amounts of data from diverse interactions. Data center automation assists data generation by furnishing the necessary infrastructure and tools to efficiently manage and process the increasing volume of generated data. For instance, in November 2024, the International Telecommunication Union, a specialized agency based in Switzerland, indicated that in 2023, global mobile broadband traffic for end-user internet usage surpassed 1 zettabyte for the first time. This is expected to increase to approximately 1.3 zettabytes in 2024. Meanwhile, fixed broadband traffic is anticipated to rise from 5.1 zettabytes in 2023 to around 6 zettabytes in 2024. Thus, the surging volume and speed of data generation are driving the growth of the data center automation market.
Data Center Automation Market Segment Analysis Spotlighting Growth Areas
The data center automation market covered in this report is segmented –
1) By Component: Solution, Services
2) By Deployment : On-Premise, Cloud
3) By Enterprise: Large Size Enterprises, Small And Medium Sized Enterprises (SMEs)
4) By End-Use: Manufacturing, Banking, Financial Services And Insurance (BFSI), Healthcare, Retail, Information Technology (IT) And Telecommunication, Other End-Users
Subsegments:
1) By Solution: Infrastructure Automation Solutions, Application Deployment And Management Solutions, Monitoring And Analytics Solutions, Orchestration And Workflow Automation Tools
2) By Services: Consulting Services, Implementation Services, Support And Maintenance Services, Training And Education Services
Data Center Automation Market Industry Trends Fueling Future Revenue Growth
Major companies operating in the data center automation market are developing innovative products, such as Anymal, to reduce operational costs. Anymal is a quadrupedal robot designed for versatile mobility and autonomous operation in challenging environments, including industrial sites, construction sites, and outdoor terrain. For instance, in March 2023, Anybotics AG, a Switzerland-based robotics company, launched Anymal, a line of advanced-legged robots engineered for autonomous inspection and data collection in complex and demanding environments. These robots are built with safety in mind, featuring emergency stops, warning lights, safety handles, and compliance with international standards. Additionally, they are ruggedized, impact-protected, and dust- and waterproof, making them suitable for all-weather operation and deployment in explosive atmospheres. The deployment of ANYmal robots, including ANYmal X, aims to improve worker safety, increase productivity, and support sustainable industrial facilities.
Data Center Automation Market Leading Companies: Who Holds The Strongest Market Presence?
Major companies operating in the data center automation market are Microsoft Corporation; Dell Technologies Inc.; Siemens AG; Intel Corporation; IBM Corporation; Cisco Systems Inc.; Oracle Corporation; Fujitsu Ltd.; ABB Limited; Hewlett Packard Enterprise Development LP; Broadcom; VMware, Inc.; Service Now Inc.; Arista Networks, Inc.; Citrix Systems Inc.; EntIT Software LLC; BMC Software Inc.; Veristor Systems Inc.; Chef Software Inc.; Puppet; HashRoot Ltd.; Micro Focus International plc; Brocade Communications Systems; CA Technologies; Riverturn Inc.
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Data Center Automation Market Regional Split: Which Areas Are Fueling Growth?
North America was the largest region in the data center automation market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the data center automation market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
