As of March 2025, there were a reported 5,426 data centers in the United States, the most of any country worldwide. A further 529 were located in Germany, while 523 were located in the United Kingdom. What is a data center? A data center is a network of computing and storage resources that enables the delivery of shared software applications and data. These facilities can house large amounts of critical and important data, and therefore are vital to the daily functions of companies and consumers alike. As a result, whether it is a cloud, colocation, or managed service, data center real estate will have increasing importance worldwide. Hyperscale data centers In the past, data centers were highly controlled physical infrastructures, but the cloud has since changed that model. A cloud data service is a remote version of a data center – located somewhere away from a company's physical premises. Cloud IT infrastructure spending has grown and is forecast to rise further in the coming years. The evolution of technology, along with the rapid growth in demand for data across the globe, is largely driven by the leading hyperscale data center providers.

As of 2024, there were 449 data centers in China, the most of any country or territory in the Asia-Pacific region. China had the fourth-highest number of data centers worldwide as of March 2024. Data centers in China As the leading market in public cloud in the Asia-Pacific region and an aspiring global leader in artificial intelligence, China has placed considerable weight on data center infrastructure, which underlies most of the advances in internet technology. The country dominates the global data center market in terms of revenue, trailing only the United States. In addition, China accounted for 15 percent of the worldwide hyperscale data center capacity in the 2nd quarter of 2022. The data center segment revenue in China is expected to have an annual growth rate of around nine percent between 2024 and 2029. The outlook of data centers in the Asia-Pacific region The pandemic has accelerated enterprise digitalization across the Asia-Pacific region, driving a surge in demand for computational power. This trend, coupled with advancements in artificial intelligence and the region's significant population growth, points to a promising future for data centers in the region. For instance, the revenue in the data center market in India was forecast to grow further and is set to reach about 11.85 billion U.S. dollars by 2029. Meanwhile, economic growth and increasing internet penetration rates in Southeast Asian countries have been the primary drivers for data center demand growth in the subregion.

The size of the US Data Center Industry market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 6.00% during the forecast period.A data center is a facility that keeps computer systems and networking equipment housed, processing, and transmitting data. It represents the infrastructure on which organizations carry out their IT operations and host websites, email servers, and database servers. Data centers, therefore, are imperative to any size business: small start-ups or large enterprise since they enable digital transformation, thus making business applications available.The US data center industry is one of the largest and most developed in the world. The country boasts robust digital infrastructure, abundant energy resources, and a highly skilled workforce, making it an attractive destination for data center operators. Some of the drivers of the US data center market are the growing trend of cloud computing, internet of things (IoT), and high-performance computing requirements.Top-of-the-line technology companies along with cloud service providers set up major data center footprints in the US, mostly in key regions such as Silicon Valley and Northern Virginia, Dallas, for example. These data centers support applications such as e-commerce-a manner of accessing streaming services-whose development depends on its artificial intelligence financial service type. As demand increases concerning data center capacity, therefore, the US data centre industry will continue to prosper as the world's hub for reliable and scalable solutions. Recent developments include: February 2023: The expansion of Souther Telecom to its data center in Atlanta, Georgia, at 345 Courtland Street, was announced by H5 Data Centers, a colocation and wholesale data center operator. One of the top communication service providers in the southeast is Southern Telecom. Customers in Alabama, Georgia, Florida, and Mississippi will receive better service due to the expansion of this low-latency fiber optic network.December 2022: DigitalBridge Group, Inc. and IFM Investors announced completing their previously announced transaction in which funds affiliated with the investment management platform of DigitalBridge and an affiliate of IFM Investors acquired all outstanding common shares of Switch, Inc. for USD approximately USD 11 billion, including the repayment of outstanding debt.October 2022: Three additional data centers in Charlotte, Nashville, and Louisville have been made available to Flexential's cloud customers, according to the supplier of data center colocation, cloud computing, and connectivity. By the end of the year, clients will have access to more than 220MW of hybrid IT capacity spread across 40 data centers in 19 markets, which is well aligned with Flexential's 2022 ambition to add 33MW of new, sustainable data center development projects.. Key drivers for this market are: , High Mobile penetration, Low Tariff, and Mature Regulatory Authority; Successful Privatization and Liberalization Initiatives. Potential restraints include: , Difficulties in Customization According to Business Needs. Notable trends are: OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT.

As of March 2025, 529 data centers were listed as being located in Germany, the most of any European nation. Data centers are facilities housing critical IT infrastructure designed to store, process, and manage vast volumes of data. The United States is home to the largest share of data centers worldwide, with over 5,000 facilities.

This dataset contains model-based county estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2022 county population estimate data, and American Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.

From 1902 to 1967, the data set is approximately compatible with that held by the World Data Centres, so far as the ICES Member Countries are concerned. In this period most serial station data were published in ICES publications such as the Bulletin Hydrographique. The 1991 US data archaeology project served to identify and fill gaps in this data series.

Consequently it is fairly safe to say that the vast majority of (civilian) serial stations worked during this period by the European member countries of ICES are included. Following the introduction of National Data Centres in the 1960s, ICES no longer was required to obtain data direct from national institutes, that being the new responsibility of these centres. However such an arrangement did not stand the test of time, and now 95% of station data is obtained by ICES direct from institutes/individuals. As it has responsibilities as national data centre for Denmark and Iceland, data from these countries are passed onto the World Data Centres.

ICES now acquires about 20,000 stations annually and this is added to the 400,000 stations currently in its data bank. All received data is carefully screened and quality controlled, and, if relevant, compared with data collected by other countries/institutes if collected near the same place and time. This ensures that undue reliance does not have to be placed on comparisons with climatological mean data which only serves to isolate data of the poorest quality. All suspect data is discussed with the originator, partly as a service to the originator, and partly to acquire the best possible alternative to the suspect data.

All quality control procedures are available as PC software as well as PC data entry schemes.

Responding to a 2024 survey, data center owners and operators reported an average annual power usage effectiveness (PUE) ratio of 1.56 at their largest data center. PUE is calculated by dividing the total power supplied to a facility by the power used to run IT equipment within the facility. A lower figure therefore indicates greater efficiency, as a smaller share of total power is being used to run secondary functions such as cooling.

This is a tiled collection of the 3D Elevation Program (3DEP) and is one meter resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. USGS standard one-meter DEMs are produced exclusively from high resolution light detection and ranging (lidar) source data of one-meter or higher resolution. One-meter DEM surfaces are seamless within collection projects, but, not necessarily seamless across projects. The spatial reference used for tiles of the one-meter DEM within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 ...

This dataset includes data from approximately 12,000 stations that J. L. Reid and A. W. Mantyla have used in various world ocean studies. These data have been accumulated for the purpose of global ocean studies and are not intended for fine scale analyses. Each station represents the best station available for that locality at the time of the selection. The set was compiled over many years and from many sources and has been brought up to date as new data have become available. Most of the data were obtained from the National Oceanographic Data Center (NODC). The others came directly from various P.I.s in various formats and may lack some NODC parameters such as ship, country, and institution codes and NODC accession number. It should be noted that these are edited data files and an accurate account of deletions and corrections is, unfortunately, not available. In some cases these data may not agree exactly with versions published later or data supplied later by the NODC or an originator. Only stations that reach close to the bottom were chosen. This means, unfortunately, that the set is rather sparse near the equator. It is believed that the temperature and salinity measurements are acceptable. However, some of the oxygen and nutrient data are quite poor. They have not been eliminated from the data set, but simply ignore them in hand-contouring. They would have been eliminated if the troubles they cause in computer-contouring or instant atlases has been understood, but this set was begun before such methods were generally available. A few known systematic errors such as IGY oxygens or early Discovery oxygens and silicates have been adjusted, based upon deep comparisons with more modern data. In a few localities, stations have been reoccupied many times and a mean composite profile is given; at other localities, only the most recent, or the best sampled profile is saved and all others deleted. Because of the large-scale scope intended for this data array, some closely-spaced stations have been omitted. When needed, those stations can be retrieved from tapes of the entire cruise.

Virtualisation is a major technology in cloud computing for optimising the cloud data centre’s power usage. In the current scenario, most of the services are migrated to the cloud, putting more load on the cloud data centres. As a result, the data center’s size expands resulting in increased energy usage. To address this problem, a resource allocation optimisation method that is both efficient and effective is necessary. The optimal utilisation of cloud infrastructure and optimisation algorithms plays a vital role. The cloud resources rely on the allocation policy of the virtual machine on cloud resources. A virtual machine placement technique, based on the Harris Hawk Optimisation (HHO) model for the cloud data centre is presented in this paper. The proposed HHO model aims to find the best place for virtual machines on suitable hosts with the least load and power consumption. PlanetLab’s real-time workload traces are used for performance evaluation with existing PSO (Particle Swarm Optimisation) and PABFD (Best Fit Decreasing). The performance evaluation of the proposed method is done using power consumption, SLA, CPU utilisation, RAM utilisation, Execution time (ms) and the number of VM migrations. The performance evaluation is done using two simulation scenarios with scaling workload in scenario 1 and increasing resources for the virtual machine to study the performance in underloaded and overloaded conditions. Experimental results show that the proposed HHO algorithm improved execution time(ms) by 4%, had a 27% reduction in power consumption, a 16% reduction in SLA violation and an increase in resource utilisation by 17%. The HHO algorithm is also effective in handling dynamic and uncertain environments, making it suitable for real-world cloud infrastructures.

In 2024, there were approximately 9,100 software as a service (SaaS) companies in the United States. Together, they had around 15 billion customers worldwide. The United Kingdom takes the second place with 1,500 companies and 293 million customers worldwide. SaaS is a software licensing model delivered via the cloud.

What is SaaS?

SaaS, often referred to as “on-demand software”, is a software distribution model in which the service provider hosts the program in a data center for consumers to access via the internet. Customers that subscribe to the service can access the software with just a client program or web browser. In the process, it eliminates the requirement to maintain the hardware or other resources that were previously necessary. Human capital management (HCM) software, collaboration software and customer relationship management (CRM) software are among the applications where public cloud SaaS has a high penetration rate.

Major providers

Big tech companies such as Apple, Microsoft and Alphabet(Google) are the leading providers in the global SaaS market. A leading player in B2B customer relationship management (CRM), Qualtrics brought in total net sales of 811 million U.S. dollars in 2022.

As of February 2025, China ranked first among the countries with the most internet users worldwide. The world's most populated country had 1.11 billion internet users, more than triple the third-ranked United States, with just around 322 million internet users. Overall, all BRIC markets had over two billion internet users, accounting for four of the ten countries with more than 100 million internet users. Worldwide internet usage As of October 2024, there were more than five billion internet users worldwide. There are, however, stark differences in user distribution according to region. Eastern Asia is home to 1.34 billion internet users, while African and Middle Eastern regions had lower user figures. Moreover, the urban areas showed a higher percentage of internet access than rural areas. Internet use in China China ranks first in the list of countries with the most internet users. Due to its ongoing and fast-paced economic development and a cultural inclination towards technology, more than a billion of the estimated 1.4 billion population in China are online. As of the third quarter of 2023, around 87 percent of Chinese internet users stated using WeChat, the most popular social network in the country. On average, Chinese internet users spent five hours and 33 minutes online daily.

In the fourth quarter of 2024, the most popular vendor in the cloud infrastructure services market, Amazon Web Services (AWS), controlled 33 percent of the entire market. Microsoft Azure takes second place with 20 percent market share, followed by Google Cloud with 10 percent market share. Together, these three cloud vendors account for 63 percent of total spend in the fourth quarter of 2024. Organizations use cloud services from these vendors for machine learning, data analytics, cloud native development, application migration, and other services. AWS Services Amazon Web Services is used by many organizations because it offers a wide variety of services and products to its customers that improve business agility while being secure and reliable. One of AWS’s most used services is Amazon EC2, which lets customers create virtual machines for their strategic projects while spending less time on maintaining servers. Another important service is Amazon Simple Storage Service (S3), which offers a secure file storage service. In addition, Amazon also offers security, website infrastructure management, and identity and access management solutions. Cloud infrastructure services Vendors offering cloud services to a global customer base do so through different types of cloud computing, which include infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). Further, there are different cloud computing deployment models available for customers, namely private cloud and public cloud, as well as community cloud and hybrid cloud. A cloud deployment model is defined based on the location where the deployment resides, and who has access to and control over the infrastructure.

In 2021, the south Indian city Chennai with average internet speed of 51.07 Mbps ranked the first among cities in India. It was followed by Bengaluru and Hyderabad, both with internet speed around 42 Mbps. Internet access speed has a crucial influence on the colocation of data center in the country.