DUBLIN–(BUSINESS WIRE)–The “U.S. Hyperscale Data Center Market – Industry Outlook & Forecast 2023-2028” report has been added to ResearchAndMarkets.com’s offering.
The U.S. hyperscale data center market is expected to reach a value of $71.55 billion by 2028 from $55.68 billion in 2022, growing at a CAGR of 4.27%.
Virginia, Texas, California, and Georgia are among the top states, attractive locations for hyperscale investments. Operators such as Microsoft, Amazon Web Services, Meta (Facebook), Switch, QTS Realty Trust, and others are building large data centers in these states. Further expansion of these facilities will also be in the pipeline in the coming years.
The U.S. government will promote data center investments through various initiatives, such as increasing the availability of land for development, reducing electricity tariffs, grants and loans, partnerships, infrastructure development, and enabling the procurement of renewable energy. These initiatives reflect the importance of the data center industry to the U.S. economy and the need for continued innovation and investment in data center infrastructure.
Digitization is a crucial factor in the growth of data centers in the USA. The explosion of data has created a significant demand for data center services, including cloud computing, big data analytics, and AI. The trend is expected to continue as new technologies emerge, increasing the demand for data center services. Telecom companies such as AT&T, T-Mobile, CenturyLink, and Qualcomm are responsible for deploying and introducing 5G services in the US.
Adopting modular power infrastructure in the USA’s data center market offers businesses greater flexibility and control over their power management, enabling them to meet the growing demand for computing resources while minimizing energy consumption and costs.
The utilization of automation and artificial intelligence (AI) in the USA’s data centers has become increasingly popular due to its ability to optimize performance, reduce costs, and improve efficiency. Automation and AI are applied in predictive maintenance, energy efficiency, security, performance optimization, network management, and data analysis. As businesses seek to maximize efficiency and performance while minimizing costs and environmental impact, adopting automation and AI solutions in the U.S. hyperscale data center market is expected to continue growing in the coming years.
In terms of cooling systems, free cooling techniques have grown significantly in the U.S. hyperscale data center market over the last few years across regions with favorable climatic conditions that can use evaporative/adiabatic coolers for data center cooling purposes.
Several vendors, including Schneider Electric, Rittal, Hewlett Packard Enterprise, and Delta Electronics, offer infrastructure based on the Open Compute Project (OCP) design. This trend is expected to drive market revenue growth for these vendors, given the increasing preference among organizations for solutions such as 48V DC UPS systems.
The major hyperscale operators investing in the U.S. hyperscale data center market include Amazon Web Services (AWS), Microsoft, Meta (Facebook), and Google.
Key Attributes:
| Report Attribute | Details |
| No. of Pages | 465 |
| Forecast Period | 2022 – 2028 |
| Estimated Market Value (USD) in 2022 | $55.68 Billion |
| Forecasted Market Value (USD) by 2028 | $71.55 Billion |
| Compound Annual Growth Rate | 4.2% |
| Regions Covered | United States |
Market Opportunities & Trends
Market Growth Enablers
Market Restraints
Key Data Center IT Infrastructure Providers
Key Data Center Support Infrastructure Providers
Other Data Center Support Infrastructure Providers
Key Data Center Contractors
Other Data Center Contractors
Key Data Center Investors
Other Data Center Investors
New Entrants
Infrastructure
IT Infrastructure
Electrical Infrastructure
Mechanical Infrastructure
Cooling Systems
Cooling Technique
General Construction
Tier Standards
Geography
For more information about this report visit https://www.researchandmarkets.com/r/qsw64g
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