Data Center Robotics Market

Data Center Robotics Market Size

The global data center robotics market was valued at USD 14.4 billion in 2024 and is projected to grow at a CAGR of 21.2% between 2025 and 2034. The desire for automation is driving the use of robotics in data centers through greater productivity and reduced human involvement. Robots now automate server maintenance, cable management, and even environmental monitoring which eliminates mistakes and reduces downtime. This enables data centers to operate with minimal human supervision, which in turn enhances productivity and saves on labor expenses.

As an example, Amazon intends to use robotics and AI to improve other aspects of the business-like retail automation, including warehouse automation for cost efficiency. This is part of a larger plan to allocate up to $25 billion in funding in February 2025. Moreover, machine learning integrated robots can cool down systems, workforce shift management, security patrols for monitoring, and system power management.

The global proliferation of data centers is now creating a need for robotic solutions to effectively maintain such colossal infrastructure. Robotics are essential in accomplishing a broad range of tasks such as equipment handling, server supervision and cooling optimization that need to take place as hyperscale and edge data centers continue to increase. The growing multitude of these centers drives the demand for better automated operation to minimize idle time and enhance operational productivity.

For example, currently in progress, Utah based developers have obtained a USD 2 billion construction loan from JPMorgan Chase and Starwood Property Trust to construct a 100-acre data center in West Jordan. Scheduled to be built with a partnership of CIM Group and Novva data centers, it will support 175 megawatts of power and is inline with the movement towards bigger AI-capable data centers using machine learning technologies to meet the AI industry’s demand.

Data Center Robotics Market Trends

• Robots now automate sophisticated data center environments and handle advanced data because computer vision and image recognition technology are now readily available. Cobalt robots can fully automate the inspections, monitoring of hardware, and error detection within server racks, cables, and labels using Infrared sensors, LiDAR, and high-resolution cameras. This is done without any human intervention.
  
• For instance, Amazon is projected to have integrated over 750,000 robots at its fulfillment centers as of February 2025. Considered as autonomous mobile robots (AMRs), these computers with powerful vision capabilities perform a myriad of operationally vital tasks including package transporting, item sorting, and active customization.
  
• The ability to communicate and process data in real-time for robotic automation is highly dependent on IoT and edge computing technology. IoT-enabled robots can effortlessly exchange data with various sensors, network devices, and monitoring systems. The data can then be controlled and monitored remotely, allowing for predictive maintenance and automated, if not easy, environmental control within data centers.
  
• As an example, IoT technologies market were projected to be valued at USD 900 million in 2023, and are forecasted to grow at rates higher than 8% per year between 2024 and 2032. The increasing use is attributed IoT technology by different industries. The incorporation of IoT allows robots to function effectively with little to no human assistance, thus enhancing performance and dependability.
  

Data Center Robotics Market Analysis

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Based on components, the market is divided into hardware, software, and services. In 2024, the hardware segment dominated the market accounting for around 40% share and is expected to grow at a CAGR of over 19.5% during the forecast period.

• The continuous surge in data traffic has necessitated the scaling up of automation to ensure that a business’s operations are running smoothly at all times. The implementation of autonomous mobile robots (AMRs) as well as the adoption of robotic arms are substituting manual labor in the maintenance of equipment, cabling, and even server machines.
  
• Organizations are investing more in data infrastructure, making the need for efficient and scalable robotic aids even greater. Enhanced IT infrastructure with AI sensors, LiDAR navigation, and robotic cooling peripherals increase the operational efficiency while decreasing the energy and time needed for the constituents’ malfunctioning.
  
• Take, for example, the case where Nvidia in 2025 initiated its expansion of general AI efforts to include robotics by launching the Cosmos platform designed to expedite the creation of autonomous systems for data centers, and other uses.
  

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Based on deployment model, the data center robotics market is segmented into on-premises, and cloud-based. In 2024, the on-premises segment dominates the market with 61% of market share and the segment is expected to grow at a CAGR of over 20.5% from 2025 to 2034.

• The organization has the option of choosing a specific robotics deployment model which helps encompass the total control facilitation over the robotic systems. This allows the Automation Infrastructure to be integrated into the existing systems with minimal effort. With the said level of control, achieving optimal performance can be maintained in line with efficient workload distribution and real-time modifications performed without having to depend on external networks.
  
• An on-premise implementation results in less dependence on the external cloud which eliminates latency and enables faster responses. This helps in automation maintenance, server supervision, security monitoring, and robotics which require immediate assistance.
  

Based on robot type, the data center robotics market is segmented into collaborative robots, industrial robots, service robots, and others, with the service robot’s category expected to dominate due to their critical role in automating operational tasks, improving efficiency, and reducing downtime.

• Service robots are now employed for real-time monitoring of facilities, the security heating and cooling as well as security patrols. Their self-navigation and anomaly detection capabilities increases system dependability and minimizes system failures.
  
• Service robots provide remote monitoring and control, which allows IT staff to manage operations without being onsite. Cloud and IoT integration allow for easier data gathering, diagnostics, and real-time decision-making for better operational supervision.
  
• For example, in March 2025, Nvidia expanded its Omniverse platform to add advanced AI-powered simulation of gigawatt-scale AI datacenters and autonomous robotic factories, which, as built, would necessitate advance industrial digitization. These improvements are meant to enhance industrial digital transformation through accurate digital twins and AI optimization.
  

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In 2024, the U.S. region in North America dominated the data center robotics market with around 93% market share in North America and generated around USD 5.4 billion in revenue.

• The U.S. and Canada possess remote region technological centers which increase the need towards automation of the data infrastructure. Corporations are now deploying robots to maintain servers, monitor sites, and manage energy parameters in a bid to increase productivity and reliability.
  
• The U.S. harbors business clouds of international technology companies and service providers which encourages further investments towards automated solutions. The increased need for high powered computing, AI voluminous data manipulation, and cloud wide operations are hastening implementation of robotics in data facilities.
  
• For example, in February 2025, Tata Consultancy Services (TCS) sponsored the Accelerate Robotics Center partnered with MassRobotics in a bid to scale robotics innovations across North America. This aims to promote the development of sophisticated solutions in robotics to meet the growing demand for automation in different sectors like data centers.
  

The data center robotics market in Germany is expected to experience significant and promising growth from 2025 to 2034.

• Germany, as a frontrunner in industrial automation, is integrating robotics into data center operations. The country's investments in AI frameworks that incorporate predictive maintenance, as well as energy-efficient solutions, automate the infrastructure management processes, which AI analytics further fuels.
  
• As an example, German robotics startup Neura Robotics raised €120 million in January 2025 during a Series B funding round directed towards the cognitive and humanoid robot development. This funding showcases the importance of Neura Robotics in the European robotics ecosystem.
  
• Furthermore, the growth of cloud computing and edge data centers in Germany provides a chance for robotics to improve operational efficiency and security as well as sustainability in decentralized computing environments.
  

The data center robotics market in the China is expected to experience significant and promising growth from 2025 to 2034.

• As China invests in cloud computing AI and data facilities, automation is one sector that is set to benefit the most. Automation is bound to improve the productivity of fundamentally unsupervised large-scale operations, including, server maintenance, cybersecurity and energy management.
  
• In addition, China is also investing into the automation of robotics due to crippling energy expenditures and demands on carbon neutrality. With an outstandingly bad case of the energy efficiency gap, robotics are essential to automating data processes and achieving any semblance of normalcy.
  
• One of the most profound developments in China’s robotics came in January 2025, when the first mixed-type humanoid robot training facility went operational in Shanghai: the Humanoid Robot Kylin Training Ground. The center aims to promote the integrated innovation and industrialization of humanoid robotics, as well as applied research on robotics.
  

The data center robotics market in South Africa is expected to experience significant and promising growth from 2025 to 2034.

• South Africa now uses modern cloud services, besides reinvesting into their computing IT framework. Robotic systems aid this advancement by automating data center upkeep, increasing cooling system effectiveness, and strengthening the cybersecurity posture to guarantee seamless digital services.
  
• For example, Microsoft made an announcement in March 2025 to spend a further USD 300 Million to AI infrastructure enhancement allocation spending in South Africa. The objectives of the incentive were to deepen AI in the region and offer support for the development of digital competences by helping pay for relevant professional qualification examinations.
  
• Strategic solutions for data centers, as always, focus on the energy efficiency. There has been an increased usage of edge computing and 5G networking, which enables more robotic automation usage.
  

Data Center Robotics Market Share

• Top 7 companies in the data center robotics industry are ABB, Cisco Systems, Inc., Amazon Web Services, Microsoft Corporation, Huawei Technologies Co., Ltd., Hewlett Packard Enterprise Development LP, and Siemens AG who contributes around 24.5% of the market in 2024.
  
• ABB improves their cooling and server maintenance tasks through automation and AI-powered robotics in their data centers. In an effort to reduce downtimes, they utilize robotic automation with AI-driven predictive maintenance. Aside from hyperscale data centers, ABB equips robotic systems with high automation features for greater dependability and expandability in the handling and interconnection of equipment.
  
• AI is applied by cisco network service providers and for RPA (robotic process automation) in data center optimization. The company’s intent-based network automation solutions use robotics for better real time surveillance and security services. Cisco is also involved in software defined infrastructure to allow easy robotic overrides to enable predictive and automated troubleshooting of large scale datacenters at minimal operating expenses.
  
• Automation of hardware handling, predictive servicing, and energy expenditure is achieved through the use of robotics for AWS cloud services. The company uses robotics with their cloud powered AI services to increase productivity. AWS is also creating autonomous robots to improve interconnection of servers and management of cooling which lowers the dependency on people and increases the ability of the data centers to be efficiently scaled and sustained.
  

Data Center Robotics Market Companies

Major players operating in the data center robotics industry are:

• ABB
• Cisco Systems
• Amazon Web Services
• Microsoft Corporation
• Huawei Technologies
• Hewlett Packard Enterprise Development
• Siemens
• Equinix
• NTT Communications
• Google
  

The overall strategy in place looks at incorporating AI and machine learning to automate data centers, carry out predictive maintenance, and monitor operations in real-time. There’s a focus on sustainability through the use of energy-efficient robotics for cooling and power optimization. The use of Robotics-as-a-Service (RaaS) is being adopted widely, allowing data center operators more flexibility in cost deployment. Furthermore, vendors are moving towards hyperscale and edge data centers to capture the growing need for decentralized and scalable computing power.

Furthermore, companies are directing these efforts toward the implementation of modular and scalable robotic systems that can be integrated into virtually any configuration of a data center’s infrastructure, from hyperscale to micro-edge. Innovation is being boosted by cloud provider and AI developer collaborations because the integration of robotics into current data center management systems is not standalone. At the same time, strategies addressing stringent compliance requirements on cybersecurity is directing how data center operators look for robotics that improve efficiency and control operational risk and governance of data.

Data Center Robotics Industry News

• In February 2025, Tata Consultancy Services (TCS) announced a strategic collaboration with MassRobotics, the world’s largest independent robotics hub, to accelerate innovation in robotics and connected devices. The collaboration aims to foster robotics innovation by engaging with startups, researchers, and industry leaders. It will focus on applications in sectors such as retail, travel, transportation, hospitality, and consumer products. TCS will provide technical expertise, mentorship, and industry insights to the MassRobotics community. In return, TCS will gain exposure to emerging trends like physical AI and sector-specific robotics applications.
  
• In May 2024, SoftBank, a Japanese technology conglomerate, invested in Indian data centers and industrial robotics companies. This move aims to strengthen the foundational infrastructure of AI, which includes data centers and industrial robotics, to capitalize on sectors with substantial market potential. The company is also considering investments in industrial robotics companies to leverage automation and AI technologies in manufacturing facilities. This will enhance the efficiency and productivity of industrial processes.
  
• In June 2024, ABB launched next-generation Robotics control platform OmniCore.  The platform enables faster, more flexible, and energy-efficient robotic operations, improving tasks like server handling, cable management, and environmental monitoring. With its advanced motion control and AI-driven capabilities, OmniCore optimizes robotics for high-speed, data-intensive environments, ensuring minimal downtime and better resource utilization.
  
• In March 2024, NVIDIA unveiled Project GR00T (Generalist Robot 00 Technology), a groundbreaking general-purpose foundation model for humanoid robots, aimed at advancing robotics and embodied AI. Project GR00T seeks to empower humanoid robots with human-like understanding, movement, and interaction capabilities. The model enables robots to learn tasks through imitation learning and reinforcement learning, allowing them to emulate human actions, understand natural language, and adapt to real-world environments.
  

The data center robotics market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue ($ Mn/Bn) and shipments (Units) from 2021 to 2034, for the following segments:

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Market, by Component

• Hardware
  • Sensor
  • Actuator
  • Motors
  • Vision systems
  • AI processors
  • Others
• Software
• Services

Market, by Robot

• Collaborative robots
• Industrial robots
• Service robots
• Others

Market, by Deployment Model

• On-premises
• Cloud-based

Market, by Enterprise Size

• SME
• Large Enterprises

Market, by End Use

• BFSI
• Colocation
• Energy
• Government
• Healthcare
• Manufacturing
• IT & Telecom
• Others

The above information is provided for the following regions and countries:

• North America
  • U.S.
  • Canada
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Russia
  • Nordics
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • ANZ
  • Southeast Asia
• Latin America
  • Brazil
  • Mexico
  • Argentina
• MEA
  • UAE
  • Saudi Arabia
  • South Africa