US DATA CENTER POWER MARKET SIZE & SHARE ANALYSIS – GROWTH TRENDS & FORECASTS (2024 – 2030)

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Market Snapshot

The US Data Center Power Market is experiencing significant growth, driven by the escalating demand for data storage and processing capabilities. This surge is fueled by the widespread adoption of cloud computing, big data analytics, Internet of Things (IoT) devices, and the increasing need for energy-efficient power solutions. The market is segmented by component (solutions and services), data center size (small, medium, large), data center type (colocation, enterprise and cloud, hyperscale), and by end-users (BFSI, IT and Telecom, Government, Manufacturing, Media & Entertainment, Others).

Market Overview

The rapid expansion of digital technologies and data generation in the United States has led to a substantial increase in the number and size of data centers. This growth necessitates reliable and efficient power systems to ensure uninterrupted operations. The market is further influenced by the integration of advanced technologies such as artificial intelligence (AI) and machine learning, which require high computational power and, consequently, robust power infrastructure.

Key Market Trends

  • Expansion of Hyperscale Data Centers: Major technology companies like Amazon, Google, and Microsoft are investing heavily in building hyperscale data centers to accommodate the growing data processing needs, significantly impacting the demand for advanced power solutions.
  • Emphasis on Energy Efficiency and Sustainability: There is an increasing focus on reducing energy consumption and minimizing carbon footprints. Data center operators are adopting energy-efficient power systems and exploring renewable energy sources to meet sustainability goals.
  • Adoption of Modular and Scalable Power Solutions: Modular power systems are gaining traction due to their flexibility and scalability, allowing data centers to efficiently manage increasing power demands and optimize space utilization.
  • Innovations in Power Backup and Storage Technologies: Advances in uninterruptible power supply (UPS) systems and energy storage solutions are enhancing the reliability and efficiency of power backup systems, ensuring seamless operations during power fluctuations or outages.
  • Integration of AI and IoT in Power Management: The incorporation of AI and IoT technologies in power management systems enables real-time monitoring, predictive maintenance, and optimization of power usage, leading to improved operational efficiency.

Competitive Landscape

The US Data Center Power Market is highly competitive, with key players focusing on innovation, strategic collaborations, and acquisitions to strengthen their market positions. Companies are investing in research and development to introduce advanced power solutions that cater to the evolving requirements of modern data centers, emphasizing efficiency, reliability, and sustainability.

Major Players

  • Schneider Electric: A global leader providing a comprehensive range of power solutions for data centers, with a strong emphasis on energy efficiency and sustainable practices.
  • ABB Ltd.: Offers innovative power infrastructure solutions, including UPS systems, power distribution units, and energy storage systems, focusing on reliability and performance.
  • Eaton Corporation: Specializes in power management solutions and services, delivering products that enhance efficiency and ensure uninterrupted power supply for data centers.
  • Vertiv Group Corp.: Provides critical infrastructure technologies, including power, thermal management, and monitoring solutions, tailored for data center applications.
  • Siemens AG: Delivers integrated power solutions and services, leveraging digitalization and smart technologies to optimize power management in data centers.

Recent Developments

  • Emphasis on Sustainable Energy Solutions: Major companies are investing in renewable energy sources and green technologies to power data centers, aligning with global sustainability initiatives.
  • Technological Advancements: Introduction of next-generation power management systems incorporating AI and IoT for enhanced monitoring and efficiency.
  • Strategic Partnerships and Collaborations: Key players are forming alliances to develop innovative power solutions and expand their market reach.

Table of Content

Chapter 1. USA Data Center Power Market- Introduction
 1.1. Study Assumptions & Market Definition
 1.2. Scope of the Study
 1.3. Research Methodology
 1.4. Executive Summary & Key Findings Report
 1.5. Global Overview
  1.5.1. Porter’s Five Forces Framework
  1.5.2. Global Value Chain Analysis
  1.5.3. Global Market Size and Drivers, Restraints, and Opportunities
Chapter 2. USA Data Center Power Market- Key Indicative Metrics
 2.1. Broadband Data Speed
  2.1.1. Average Broadband Speed, MBPS, USA, 2017 – 2030
 2.2. Colocation Revenue
  2.2.1. Value Of Colocation Revenue, USD Million, USA, 2017 – 2030
 2.3. Fiber Connectivity Network
  2.3.1. Length Of Fiber Connectivity Network, Miles, USA, 2017 – 2030
 2.4. Installed Racks
  2.4.1. Volume Of Installed Racks, Number, USA, 2017 – 2030
 2.5. IT Load Capacity
  2.5.1. Volume Of IT Load Capacity, MW, USA, 2017 – 2030
 2.6. Rack Space Utilization
  2.6.1. Rack Space Utilization, %, USA, 2017 – 2030
 2.7. Raised Floor Space
  2.7.1. Volume Of Raised Floor Area, Sq.Ft. (‘000), USA, 2017 – 2030
 2.8. Submarine Cable
 2.9. Data Traffic Per Smartphone
  2.9.1. Data Traffic Per Smartphone, Gb, USA, 2017 – 2030
 2.10. Mobile Data Speed
  2.10.1. Average Mobile Data Speed, Mbps, USA, 2017 – 2030
 2.11. Smartphone Users
  2.11.1. Count Of Smartphone Users, In Million, USA, 2017 – 2030
 2.12. Retail electricity prices in the United States
 2.13. Regulatory Framework
 2.14. Value Chain & Distribution Channel Analysis
 2.15. Role of AI in Data Center Power Market
 2.16. Data centers under construction in USA
Chapter 3. USA Data Center Power Market- Market Segmentation (2023 – 2030)
 3.1. By Component
  3.1.1. Solution
   3.1.1.1. Power Distribution
    3.1.1.1.1. Switchgear and Circuit Breakers
    3.1.1.1.2. Power Distribution Units (PDUs)
    3.1.1.1.3. Transformers
    3.1.1.1.4. Busways and Power Rails
    3.1.1.1.5. Power Cabling
   3.1.1.2. Power Monitoring
    3.1.1.2.1. Voltage Regulators
    3.1.1.2.2. Surge Protectors
    3.1.1.2.3. Harmonic Filters
   3.1.1.3. Power Backup
    3.1.1.3.1. UPS Systems
    3.1.1.3.2. Generators
    3.1.1.3.3. Energy Storage Solutions
  3.1.2. Services
   3.1.2.1. Design and Consulting
   3.1.2.2. Integration and Deployment
   3.1.2.3. Support Maintenance
 3.2. By DC Size
  3.2.1. Small DC
  3.2.2. Medium DC
  3.2.3. Large DC
 3.3. By DC Type
  3.3.1. Colocation
  3.3.2. Enterprise and Cloud
  3.3.3. Hyperscales
 3.4. By End Users
  3.4.1. BFSI
  3.4.2. IT and Telecom
  3.4.3. Government
  3.4.4. Manufacturing
  3.4.5. Media & Entertainment
  3.4.6. Other End Users
Chapter 4. USA Data Center Power Market- Competitive Landscape
 4.1. Key Strategic Moves
 4.2. Market Share Analysis
 4.3. Company Landscape
  4.3.1. Company Profiles
   4.3.1.1. Cisco
   4.3.1.2. Cummins Inc.
   4.3.1.3. Kohler Co.
   4.3.1.4. LayerZero Power Systems
   4.3.1.5. Panduit
   4.3.1.6. Raritan Inc. (Legrand)
   4.3.1.7. Toshiba International Corporation
   4.3.1.8. Tripp Lite (Eaton)
   4.3.1.9. Vertiv Group Corp.
   4.3.1.10. Schneider Electric
   4.3.1.11. ABB
   4.3.1.12. Huawei
   4.3.1.13. Toshiba
   4.3.1.14. Siemens
   4.3.1.15. Mitsubishi Electric
 4.4. Startup Evaluation Matrix Methodology and Definitions
  4.4.1. Progressive Companies
  4.4.2. Responsive Companies
  4.4.3. Dynamic Companies
  4.4.4. Starting Blocks
 4.5. Startup Profiles
  4.5.1. N1 Critical Technologies
  4.5.2. Bxterra Power Technology
  4.5.3. ZincFive
Chapter 5. Appendix
 5.1. Discussion Guide Insights from Industry Professionals
 5.2. Sources and References
 5.3. Glossary of Terms

Research Methodology

Data Collection and Analysis Methods

Datanumero’s research methodology encompasses a thorough approach aimed at ensuring accuracy and reliability in market estimation and forecasting. Our process begins with preliminary data mining, where we gather raw market data from a diverse range of validated sources. This data undergoes rigorous filtration to ensure authenticity, with inputs also drawn from reputable reports, paid databases, and our repository. Our goal is to map the complete market value chain, gathering insights from raw material suppliers, distributors, and buyers.Additionally, we delve into technical issues and trends through surveys, technical symposia, and trade journals, focusing on intellectual property perspectives such as white space and freedom of movement. Industry dynamics, including drivers, restraints, and pricing trends, are thoroughly examined. This approach ensures that our material is rich in original data, further cross-validated and authenticated with published sources for accuracy.

Market estimates and forecasts are derived using sophisticated statistical models tailored to each study. These models incorporate inputs on market dynamics, technology landscapes, application development, and pricing trends. We analyze these factors comparatively, quantifying their impact using correlation, regression, and time series analysis. Our forecasting techniques combine economic tools, technological analysis, industry experience, and domain expertise.Primary validation represents the final step, involving exhaustive interviews with key industry participants. These interviews, conducted globally and across various language barriers, validate our findings and assumptions. Key industry participants include market-leading companies, raw material suppliers, product distributors, and buyers. This primary research not only ensures data accuracy but also provides critical insights into the current market scenario, business landscape, and future expectations, enhancing the quality of our reports.

Industry Analysis Approach

In our analysis, we employ both qualitative and quantitative methodologies. Qualitatively, we delve into the industry landscape, trends, market dynamics, and key issues. We explore the technology landscape and identify market opportunities for our clients. Our approach includes Porter’s analysis and PESTEL analysis to understand the competitive landscape and conduct component benchmarking.On the quantitative front, we provide market revenue estimates and forecasts up to specified timeframes, including breakdowns by technology, application, type, and component. Regional market revenue forecasts are also provided, giving clients a comprehensive view of market dynamics across different geographical areas.By integrating these methodologies, DataNumero ensures a holistic, unbiased, and accurate assessment of market trends, opportunities, and future expectations, positioning us as a professional and reliable market research partner.

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