Global Data Center Robotics Market 2025-2035
Description
Data Center Robotics Market Size, Share & Trends Analysis Report by Component (Hardware, Software, and Services), by Enterprise Size (Large Enterprises, and SMEs), by Robot Type (Industrial, Collaborative, and Service), and by Vertical (IT & Telecom, Retail & E‑commerce, BFSI, Healthcare, Education, Government, and Others) Forecast Period (2025-2035)
Industry Overview
Data center robotics market was valued at $14.2 billion in 2024 and is projected to reach $107.4 billion by 2035, growing at a CAGR of 20.7% during the forecast period (2025–2035). Data center robotics applies robotic technologies to automate operations in data center environments, minimizing manual handling and optimizing operational efficiency by managing computer systems, servers, networking devices, and storage systems. It enhances operational efficiency by automating routine tasks, maximizing resource efficiency, providing 24/7 uptime, and enhancing security and safety in dangerous environments through the deployment of AI and machine learning. Its uses comprise AGVs, Cobots, AI-driven inspections, cable management, optimizing cooling systems, security patrols, remote management, logistics optimization, improved security, and remote monitoring.
Market Dynamics
Rising Adoption of Autonomous Robotics and Digital Twin Integration in Data Centers
The market growth is being fueled by the widespread use of autonomous robotics for handling repetitive and hazardous tasks in data centers. According to the International Federation of Robotics, in February 2024, the number of operational robots globally reached a record of 3.9 million units, reflecting the rapid acceleration of automation technologies and highlighting the expanding role of digital twin robotics. As robots' deployment is growing in manufacturing, logistics, healthcare, and other areas, digital twin technology is becoming a necessity to manage advanced robotic ecosystems. Digital twins facilitate the ability to build virtual models that mirror physical robots' behavior and performance so that monitoring, diagnosis, and predictive maintenance can be improved. The combination of digital twins with autonomous mobile robots (AMRs) that are commonly employed for the movement of equipment within industries is powering operational efficiency and minimizing downtime. Through the projection of real-life situations, these digital models enable risk-free testing and ongoing optimization of robotic operations.
Robotics-Powered Automation Driving Operational Efficiency in Data Centers
Robotics in data center operations enhances productivity and decreases human error by streamlining tasks such as server installation, cable management, and facility inspection, thereby driving market growth. For instance, in May 2025, Neocloud's Crusoe raised $11.6 billion in debt and equity funding to grow OpenAI's Abilene, Texas, data center expansion project, with total funding commitments totaling around $15 billion. The expanded facilities are designed to optimize efficiency for highly demanding generative AI projects by containing up to 50,000 Nvidia Blackwell chips per site. This initiative is a part of OpenAI's $500 billion Stargate project that aims to reduce reliance on Microsoft and establish infrastructure agreements with companies such as SoftBank and Oracle.
Market Segmentation
Industrial robots are programmable machines for manufacturing and industrial repetitive tasks, capable of being reprogrammed for assembly, welding, painting, material handling, and packaging. The market's expansion can be attributed to the growing demand for enterprise and hyperscale data center automation to increase productivity and simplify operations. For instance, in June 2025, Amazon initiated the rollout of its 1 million robots in a Japanese fulfillment center and unveiled DeepFleet, a new generative AI foundation model designed to maximize fleet movement. By improving robot route optimization, DeepFleet should reduce travel time by approximately 10%, which can speed up deliveries, save operating costs, and preserve energy.
Regional Outlook
The global data center robotics market is further divided by region, including North America (the US and Canada), Europe (the UK, Germany, France, Italy, Spain, Russia, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, Australia and New Zealand, ASEAN Countries, and the Rest of Asia-Pacific), and the Rest of the World (the Middle East & Africa, and Latin America).
Increasing Data Center E-Waste Demand for Robotic Recycling Technologies in North America
The increasing demand for robotic solutions to effectively process, dismantle, and recycle e-waste from hyperscale data centers is fueling market growth. For instance, in October 2024, ABB Robotics collaborated with US start-up Molg to co-create and deploy robotic micro-factories to automate the disassembly, recovery, and recycling of electronic equipment, especially data-center equipment such as servers and industrial devices, addressing the increasing e-waste issue in the sector. These compact, standalone devices are designed to securely deconstruct elements derived from rare and valuable components, increasing material reuse, reducing trash from landfills and incinerators, and improving worker safety by minimizing physical handling of potentially hazardous components. Addressing hyperscale data centers and IT asset disposition companies, the program is aligned with a circular‑economy model, promotes supply‑chain resiliency, and mirrors the increasing amount of data‑center e‑waste.
Asia-Pacific Maintains Strong Market Position
Asia-Pacific leads the data center robotics market, with the increasing demand for distributed computing in remote and Tier-2/3 cities of India. These regions require compact robotic solutions to efficiently handle decentralized data nodes. The increasing adoption of digital services in India is speeding up this trend, with business and consumer reliance on high-performance data centers and advanced infrastructure to meet growing data needs. According to the India Brand Equity Foundation (IBEF), in October 2024, digital adoption supports India's economic growth, leading to a surge in data consumption, requiring high-performance data centers and data infrastructure upgrades. India’s data centre market has expanded significantly, with the top seven cities holding 977 MW of capacity, expected to grow to 1.03 GW by 2028, alongside an additional planned capacity of 1.29 GW. India now contributes significantly to the global data centre robotics market, particularly in cloud computing.
Market Players Outlook
The major companies operating in the global data center robotics market include ABB Ltd., Amazon.com, Inc., Honeywell International Inc., Microsoft Corp., and Siemens AG, among others. Market players are leveraging partnerships, collaborations, mergers, and acquisition strategies for business expansion and innovative product development to maintain their market positioning.
Recent Developments
Industry Overview
Data center robotics market was valued at $14.2 billion in 2024 and is projected to reach $107.4 billion by 2035, growing at a CAGR of 20.7% during the forecast period (2025–2035). Data center robotics applies robotic technologies to automate operations in data center environments, minimizing manual handling and optimizing operational efficiency by managing computer systems, servers, networking devices, and storage systems. It enhances operational efficiency by automating routine tasks, maximizing resource efficiency, providing 24/7 uptime, and enhancing security and safety in dangerous environments through the deployment of AI and machine learning. Its uses comprise AGVs, Cobots, AI-driven inspections, cable management, optimizing cooling systems, security patrols, remote management, logistics optimization, improved security, and remote monitoring.
Market Dynamics
Rising Adoption of Autonomous Robotics and Digital Twin Integration in Data Centers
The market growth is being fueled by the widespread use of autonomous robotics for handling repetitive and hazardous tasks in data centers. According to the International Federation of Robotics, in February 2024, the number of operational robots globally reached a record of 3.9 million units, reflecting the rapid acceleration of automation technologies and highlighting the expanding role of digital twin robotics. As robots' deployment is growing in manufacturing, logistics, healthcare, and other areas, digital twin technology is becoming a necessity to manage advanced robotic ecosystems. Digital twins facilitate the ability to build virtual models that mirror physical robots' behavior and performance so that monitoring, diagnosis, and predictive maintenance can be improved. The combination of digital twins with autonomous mobile robots (AMRs) that are commonly employed for the movement of equipment within industries is powering operational efficiency and minimizing downtime. Through the projection of real-life situations, these digital models enable risk-free testing and ongoing optimization of robotic operations.
Robotics-Powered Automation Driving Operational Efficiency in Data Centers
Robotics in data center operations enhances productivity and decreases human error by streamlining tasks such as server installation, cable management, and facility inspection, thereby driving market growth. For instance, in May 2025, Neocloud's Crusoe raised $11.6 billion in debt and equity funding to grow OpenAI's Abilene, Texas, data center expansion project, with total funding commitments totaling around $15 billion. The expanded facilities are designed to optimize efficiency for highly demanding generative AI projects by containing up to 50,000 Nvidia Blackwell chips per site. This initiative is a part of OpenAI's $500 billion Stargate project that aims to reduce reliance on Microsoft and establish infrastructure agreements with companies such as SoftBank and Oracle.
Market Segmentation
- Based on the component, the market is segmented into hardware, software, and services.
- Based on the enterprise, the market is segmented into large enterprises and SMEs.
- Based on robot type, the market is segmented into industrial, collaborative, and service.
- Based on the vertical, the market is segmented into IT & telecom, retail & e‑commerce, BFSI, healthcare, education, government, and others (manufacturing, energy, media & entertainment).
Industrial robots are programmable machines for manufacturing and industrial repetitive tasks, capable of being reprogrammed for assembly, welding, painting, material handling, and packaging. The market's expansion can be attributed to the growing demand for enterprise and hyperscale data center automation to increase productivity and simplify operations. For instance, in June 2025, Amazon initiated the rollout of its 1 million robots in a Japanese fulfillment center and unveiled DeepFleet, a new generative AI foundation model designed to maximize fleet movement. By improving robot route optimization, DeepFleet should reduce travel time by approximately 10%, which can speed up deliveries, save operating costs, and preserve energy.
Regional Outlook
The global data center robotics market is further divided by region, including North America (the US and Canada), Europe (the UK, Germany, France, Italy, Spain, Russia, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, Australia and New Zealand, ASEAN Countries, and the Rest of Asia-Pacific), and the Rest of the World (the Middle East & Africa, and Latin America).
Increasing Data Center E-Waste Demand for Robotic Recycling Technologies in North America
The increasing demand for robotic solutions to effectively process, dismantle, and recycle e-waste from hyperscale data centers is fueling market growth. For instance, in October 2024, ABB Robotics collaborated with US start-up Molg to co-create and deploy robotic micro-factories to automate the disassembly, recovery, and recycling of electronic equipment, especially data-center equipment such as servers and industrial devices, addressing the increasing e-waste issue in the sector. These compact, standalone devices are designed to securely deconstruct elements derived from rare and valuable components, increasing material reuse, reducing trash from landfills and incinerators, and improving worker safety by minimizing physical handling of potentially hazardous components. Addressing hyperscale data centers and IT asset disposition companies, the program is aligned with a circular‑economy model, promotes supply‑chain resiliency, and mirrors the increasing amount of data‑center e‑waste.
Asia-Pacific Maintains Strong Market Position
Asia-Pacific leads the data center robotics market, with the increasing demand for distributed computing in remote and Tier-2/3 cities of India. These regions require compact robotic solutions to efficiently handle decentralized data nodes. The increasing adoption of digital services in India is speeding up this trend, with business and consumer reliance on high-performance data centers and advanced infrastructure to meet growing data needs. According to the India Brand Equity Foundation (IBEF), in October 2024, digital adoption supports India's economic growth, leading to a surge in data consumption, requiring high-performance data centers and data infrastructure upgrades. India’s data centre market has expanded significantly, with the top seven cities holding 977 MW of capacity, expected to grow to 1.03 GW by 2028, alongside an additional planned capacity of 1.29 GW. India now contributes significantly to the global data centre robotics market, particularly in cloud computing.
Market Players Outlook
The major companies operating in the global data center robotics market include ABB Ltd., Amazon.com, Inc., Honeywell International Inc., Microsoft Corp., and Siemens AG, among others. Market players are leveraging partnerships, collaborations, mergers, and acquisition strategies for business expansion and innovative product development to maintain their market positioning.
Recent Developments
- In November 2024, Microsoft Research created early prototypes of specialized module robots for data center maintenance based on non-humanoid designs. The primary two prototypes are a transceiver manipulation robot that navigates through complex cabling with vision systems to unplug, reseat, or insert transceivers without touching nearby cables, and a fiber and transceiver cleaning robot that examines connector end-faces, cleans, and reassembles pieces within minutes. These technologies are intended to facilitate self-healing data centers by minimizing human intervention, avoiding cascading hardware failures, and advancing the level of automation from semi-autonomous (Level 2) to fully autonomous (Level 4) operations.
- Market value data analysis of 2024 and forecast to 2035.
- Annualized market revenues ($ million) for each market segment.
- Country-wise analysis of major geographical regions.
- Key companies operating in the global data center robotics market. Based on the availability of data, information related to new products and relevant news is also available in the report.
- Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
- Analysis of market-entry and market expansion strategies.
- Competitive strategies by identifying ‘who-stands-where’ in the market.
Table of Contents
190 Pages
- 1. Report Summary
- Current Industry Analysis and Growth Potential Outlook
- Global Data Center Robotics Market Sales Analysis – Component | Enterprise Size | Robot Type | Vertical ($ Million)
- Data Center Robotics Market Sales Performance of Top Countries
- 1.1. Research Methodology
- Primary Research Approach
- Secondary Research Approach
- 1.2. Market Snapshot
- 2. Market Overview and Insights
- 2.1. Scope of the Study
- 2.2. Analyst Insight & Current Market Trends
- 2.2.1. Key Data Center Robotics Market Trends
- 2.2.2. Market Recommendations
- 3. Market Determinants
- 3.1. Market Drivers
- 3.1.1. Drivers For Global Data Center Robotics Market: Impact Analysis
- 3.2. Market Pain Points and Challenges
- 3.2.1. Restraints For Global Data Center Robotics Market: Impact Analysis
- 3.3. Market Opportunities
- 3.3.1. Opportunities For Global Data Center Robotics Market: Impact Analysis
- 4. Competitive Landscape
- 4.1. Competitive Dashboard – Data Center Robotics Market Revenue and Share by Manufacturers
- Data Center Robotics Component Comparison Analysis
- Top Market Player Ranking Matrix
- 4.2. Key Company Analysis
- 4.2.1. ABB Ltd.
- 4.2.1.1. Overview
- 4.2.1.2. Component Portfolio
- 4.2.1.3. Financial Analysis (Subject to Data Availability)
- 4.2.1.4. SWOT Analysis
- 4.2.1.5. Business Strategy
- 4.2.2. Amazon.com, Inc.
- 4.2.2.1. Overview
- 4.2.2.2. Component Portfolio
- 4.2.2.3. Financial Analysis (Subject to Data Availability)
- 4.2.2.4. SWOT Analysis
- 4.2.2.5. Business Strategy
- 4.2.3. Honeywell International Inc.
- 4.2.3.1. Overview
- 4.2.3.2. Component Portfolio
- 4.2.3.3. Financial Analysis (Subject to Data Availability)
- 4.2.3.4. SWOT Analysis
- 4.2.3.5. Business Strategy
- 4.2.4. Microsoft Corp.
- 4.2.4.1. Overview
- 4.2.4.2. Component Portfolio
- 4.2.4.3. Financial Analysis (Subject to Data Availability)
- 4.2.4.4. SWOT Analysis
- 4.2.4.5. Business Strategy
- 4.2.5. Siemens AG
- 4.2.5.1. Overview
- 4.2.5.2. Component Portfolio
- 4.2.5.3. Financial Analysis (Subject to Data Availability)
- 4.2.5.4. SWOT Analysis
- 4.2.5.5. Business Strategy
- 4.3. Top Winning Strategies by Market Players
- 4.3.1. Merger and Acquisition
- 4.3.2. Component Launch
- 4.3.3. Partnership And Collaboration
- 5. Global Data Center Robotics Market Sales Analysis by Component ($ Million)
- 5.1. Hardware
- 5.2. Software
- 5.3. Services
- 6. Global Data Center Robotics Market Sales Analysis by Enterprise Size ($ Million)
- 6.1. Large Enterprises
- 6.2. SMEs
- 7. Global Data Center Robotics Market Sales Analysis by Robot Type ($ Million)
- 7.1. Industrial
- 7.2. Collaborative
- 7.3. Service
- 8. Global Data Center Robotics Market Sales Analysis by Vertical ($ Million)
- 8.1. IT & Telecom
- 8.2. Retail & E‑commerce
- 8.3. BFSI
- 8.4. Healthcare
- 8.5. Education
- 8.6. Government
- 8.7. Others (Manufacturing, Energy, Media & Entertainment)
- 9. Regional Analysis
- 9.1. North American Data Center Robotics Market Sales Analysis – Component | Enterprise Size | Robot Type | Vertical | Country ($ Million)
- Macroeconomic Factors for North America
- 9.1.1. United States
- 9.1.2. Canada
- 9.2. European Data Center Robotics Market Sales Analysis – Component | Enterprise Size | Robot Type | Vertical | Country ($ Million)
- Macroeconomic Factors for Europe
- 9.2.1. UK
- 9.2.2. Germany
- 9.2.3. Italy
- 9.2.4. Spain
- 9.2.5. France
- 9.2.6. Russia
- 9.2.7. Rest of Europe
- 9.3. Asia-Pacific Data Center Robotics Market Sales Analysis – Component | Enterprise Size | Robot Type | Vertical | Country ($ Million)
- Macroeconomic Factors for Asia-Pacific
- 9.3.1. China
- 9.3.2. Japan
- 9.3.3. South Korea
- 9.3.4. India
- 9.3.5. Australia & New Zealand
- 9.3.6. ASEAN Countries (Thailand, Indonesia, Vietnam, Singapore, And others)
- 9.3.7. Rest of Asia-Pacific
- 9.4. Rest of the World Data Center Robotics Market Sales Analysis – Component | Enterprise Size | Robot Type | Vertical | Country ($ Million)
- Macroeconomic Factors for the Rest of the World
- 9.4.1. Latin America
- 9.4.2. Middle East and Africa
- 10. Company Profiles
- 10.1. ABB Ltd.
- 10.1.1. Quick Facts
- 10.1.2. Company Overview
- 10.1.3. Product Portfolio
- 10.1.4. Business Strategies
- 10.2. Amazon.com, Inc.
- 10.2.1. Quick Facts
- 10.2.2. Company Overview
- 10.2.3. Product Portfolio
- 10.2.4. Business Strategies
- 10.3. Delta Electronics, Inc.
- 10.3.1. Quick Facts
- 10.3.2. Company Overview
- 10.3.3. Product Portfolio
- 10.3.4. Business Strategies
- 10.4. Digital Edge (Singapore) Holdings Pte Ltd.
- 10.4.1. Quick Facts
- 10.4.2. Company Overview
- 10.4.3. Product Portfolio
- 10.4.4. Business Strategies
- 10.5. FANUC Corp.
- 10.5.1. Quick Facts
- 10.5.2. Company Overview
- 10.5.3. Product Portfolio
- 10.5.4. Business Strategies
- 10.6. Genpact
- 10.6.1. Quick Facts
- 10.6.2. Company Overview
- 10.6.3. Product Portfolio
- 10.6.4. Business Strategies
- 10.7. Hewlett Packard Enterprise Development LP
- 10.7.1. Quick Facts
- 10.7.2. Company Overview
- 10.7.3. Product Portfolio
- 10.7.4. Business Strategies
- 10.8. Honeywell International Inc.
- 10.8.1. Quick Facts
- 10.8.2. Company Overview
- 10.8.3. Product Portfolio
- 10.8.4. Business Strategies
- 10.9. Huawei Technologies Co., Ltd.
- 10.9.1. Quick Facts
- 10.9.2. Company Overview
- 10.9.3. Product Portfolio
- 10.9.4. Business Strategies
- 10.10. Microsoft Corp.
- 10.10.1. Quick Facts
- 10.10.2. Company Overview
- 10.10.3. Product Portfolio
- 10.10.4. Business Strategies
- 10.11. Mouser Electronics, Inc.
- 10.11.1. Quick Facts
- 10.11.2. Company Overview
- 10.11.3. Product Portfolio
- 10.11.4. Business Strategies
- 10.12. Panasonic Holdings Corp.
- 10.12.1. Quick Facts
- 10.12.2. Company Overview
- 10.12.3. Product Portfolio
- 10.12.4. Business Strategies
- 10.13. Path Robotics, Inc.
- 10.13.1. Quick Facts
- 10.13.2. Company Overview
- 10.13.3. Product Portfolio
- 10.13.4. Business Strategies
- 10.14. Qualcomm Technologies, Inc.
- 10.14.1. Quick Facts
- 10.14.2. Company Overview
- 10.14.3. Product Portfolio
- 10.14.4. Business Strategies
- 10.15. Rockwell Automation Inc.
- 10.15.1. Quick Facts
- 10.15.2. Company Overview
- 10.15.3. Product Portfolio
- 10.15.4. Business Strategies
- 10.16. Siemens AG.
- 10.16.1. Quick Facts
- 10.16.2. Company Overview
- 10.16.3. Product Portfolio
- 10.16.4. Business Strategies
- 10.17. Sterlite Technologies Ltd.
- 10.17.1. Quick Facts
- 10.17.2. Company Overview
- 10.17.3. Product Portfolio
- 10.17.4. Business Strategies
- 10.18. UiPath, Inc.
- 10.18.1. Quick Facts
- 10.18.2. Company Overview
- 10.18.3. Product Portfolio
- 10.18.4. Business Strategies
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