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Global Data Center Robotics Market to reach USD 47.47 billion by the end of 2030

Global Data Center Robotics Market Size study & Forecast, by Component (Hardware, Software, Service), by Enterprise Size (SMEs, Large Enterprises), by Industry Vertical (BFSI, Healthcare, Education, IT and Telecom, Real Estate, Government, Others) and Regional Analysis, 2023-2030

Product Code: EESC-30703166
Publish Date: 29-02-2024
Page: 200

Global Data Center Robotics Market is valued at approximately USD 11.04 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 20% during the forecast period 2023-2030. Data Center Robotics refers to the application of robotics technology in data center environments to automate and optimize various tasks related to the management, operation, and maintenance of data centers. These data centers facilities consist of computer systems, servers, networking equipment, and storage systems, playing a crucial role in storing, processing, and managing digital data for organizations. The Data Center Robotics Market is expanding because of factors such as the rising number of data centres and the increasing adoption of industrial robotics. As a result, the demand for Data Center Robotics has progressively increased in the international market during the forecast period 2023-2030.

Robotics can enhance the efficiency of data center operations by optimizing resource usage. Automation technologies can dynamically adjust cooling systems, manage power consumption, and ensure that resources are utilized effectively across a growing number of data centers. According to Statista, in 2023, the United States led globally with the highest number of reported data centers, totalling 5,375, followed by Germany with 522 data centers, and the United Kingdom with 517 data centers. Another important factor that drives the Data Center Robotics Market is the increasing adoption of industrial robotics. Industrial robots often utilize advanced sensors, actuators, and precision components. The adoption of such hardware in industrial settings drives advancements in the hardware components used in Data Center Robotics. This could result in more reliable and efficient robotic systems for tasks such as server maintenance, cable management, and equipment handling. In addition, as per Statista, the Industrial Robotics Market is projected to reach approx. USD 9.31 billion by the year-end of 2024. Moreover, the increasing adoption of robotics artificial intelligence and machine learning and the rising adoption of data center automation are anticipated to create lucrative growth opportunities for the market over the forecast period. However, security privacy concerns of data center robotics and the high cost of Data Center Robotics are going to impede overall market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Data Center Robotics Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the increasing number of data centers in the region. The scalability of robotics solutions becomes crucial as the number of data centers grows. Automation technologies need to scale efficiently to accommodate the expanding infrastructure, and organizations invest in scalable robotic systems to meet these demands. The region’s dominant performance is anticipated to propel the overall demand for Data Center Robotics. Furthermore, Asia Pacific is expected to grow fastest over the forecast period, owing to factors such as rapid digital transition, with rising usage of big data, cloud, artificial intelligence, and the Internet of Things (IoT) in the region.

Major market player included in this report are:
Hewlett Packard Enterprise Development LP
Microsoft Corporation
Huawei Technologies Co., Ltd
ConnectWise, LLC
BMC Software, Inc
Siemens AG
Rockwell Automation Inc
Cisco Systems, Inc
NTT Communications Corporation

Recent Developments in the Market:
Ø In September 2023, ABB Robotics is enhancing its educational portfolio by introducing the IRB 1090, an industrial education robot endorsed by the esteemed education institute STEM.org. Specifically crafted to elevate students’ skill sets, the 1090 equips them with a valuable edge in the competitive job market. This latest addition underscores ABB’s commitment to advancing education, complementing an array of industrial robots, educational packages, cutting-edge controllers, and top-tier programming and simulation software within its comprehensive education suite.

Global Data Center Robotics Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Component, Enterprise Size, Industry Vertical, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component

By Enterprise Size
Large Enterprises

By Industry Vertical
IT and Telecom
Real Estate

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Data Center Robotics Market, by Region, 2020-2030 (USD Billion)
1.2.2. Data Center Robotics Market, by Component, 2020-2030 (USD Billion)
1.2.3. Data Center Robotics Market, by Enterprise Size, 2020-2030 (USD Billion)
1.2.4. Data Center Robotics Market, by Industry Vertical, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Data Center Robotics Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Data Center Robotics Market Dynamics
3.1. Data Center Robotics Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rising number of data centres Increasing adoption of industrial robotics
3.1.2. Market Challenges Security privacy concerns of data center robotics High cost of Data Center Robotics
3.1.3. Market Opportunities Increasing adoption of robotics artificial intelligence and machine learning Rising adoption of data center automation
Chapter 4. Global Data Center Robotics Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Data Center Robotics Market, by Component
5.1. Market Snapshot
5.2. Global Data Center Robotics Market by Component, Performance – Potential Analysis
5.3. Global Data Center Robotics Market Estimates & Forecasts by Component 2020-2030 (USD Billion)
5.4. Data Center Robotics Market, Sub Segment Analysis
5.4.1. Hardware
5.4.2. Software
5.4.3. Service
Chapter 6. Global Data Center Robotics Market, by Enterprise Size
6.1. Market Snapshot
6.2. Global Data Center Robotics Market by Enterprise Size, Performance – Potential Analysis
6.3. Global Data Center Robotics Market Estimates & Forecasts by Enterprise Size 2020-2030 (USD Billion)
6.4. Data Center Robotics Market, Sub Segment Analysis
6.4.1. SMEs
6.4.2. Large Enterprises
Chapter 7. Global Data Center Robotics Market, by Industry Vertical
7.1. Market Snapshot
7.2. Global Data Center Robotics Market by Industry Vertical, Performance – Potential Analysis
7.3. Global Data Center Robotics Market Estimates & Forecasts by Industry Vertical 2020-2030 (USD Billion)
7.4. Data Center Robotics Market, Sub Segment Analysis
7.4.1. BFSI
7.4.2. Healthcare
7.4.3. Education
7.4.4. IT and Telecom
7.4.5. Real Estate
7.4.6. Government
7.4.7. Others
Chapter 8. Global Data Center Robotics Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Data Center Robotics Market, Regional Market Snapshot
8.4. North America Data Center Robotics Market
8.4.1. U.S. Data Center Robotics Market Component breakdown estimates & forecasts, 2020-2030 Enterprise Size breakdown estimates & forecasts, 2020-2030 Industry Vertical breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Data Center Robotics Market
8.5. Europe Data Center Robotics Market Snapshot
8.5.1. U.K. Data Center Robotics Market
8.5.2. Germany Data Center Robotics Market
8.5.3. France Data Center Robotics Market
8.5.4. Spain Data Center Robotics Market
8.5.5. Italy Data Center Robotics Market
8.5.6. Rest of Europe Data Center Robotics Market
8.6. Asia-Pacific Data Center Robotics Market Snapshot
8.6.1. China Data Center Robotics Market
8.6.2. India Data Center Robotics Market
8.6.3. Japan Data Center Robotics Market
8.6.4. Australia Data Center Robotics Market
8.6.5. South Korea Data Center Robotics Market
8.6.6. Rest of Asia Pacific Data Center Robotics Market
8.7. Latin America Data Center Robotics Market Snapshot
8.7.1. Brazil Data Center Robotics Market
8.7.2. Mexico Data Center Robotics Market
8.8. Middle East & Africa Data Center Robotics Market
8.8.1. Saudi Arabia Data Center Robotics Market
8.8.2. South Africa Data Center Robotics Market
8.8.3. Rest of Middle East & Africa Data Center Robotics Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. Hewlett Packard Enterprise Development LP Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. Microsoft Corporation
9.3.3. Huawei Technologies Co., Ltd
9.3.4. ConnectWise, LLC
9.3.5. BMC Software, Inc
9.3.6. Siemens AG
9.3.7. ABB Ltd
9.3.8. Rockwell Automation Inc
9.3.9. Cisco Systems, Inc
9.3.10. NTT Communications Corporation
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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