Posted quarterly, using FDCCI Task Force data reported to OMB through the quarterly Integrated Data Collection (IDC) deadline. Federal Data Center Consolidation Initiative (FDCCI) Data Center Closures 2010-2015. Under the FDDCI, agencies have categorized their agency data center populations into two categories: core and non-core. The government is closing 40% of agency-identified, non-core data centers, while optimizing agency-identified core-data centers, according to a series of total cost of ownership metrics (see OMB M-13-09 and OMB M-14-08). This dataset reflects information only for agency-identified, non-core closures. All questions or inquiries should be directed to the specific agencies. The FY2010 through FY2015 dataset provides a list of planned or closed data centers by agency and by city/state location since the FDCCI started. Please note ?OTHER? is listed for data centers in cloud, co-located or managed service data centers, where square footage is unavailable. See related information about the FDCCI, including the definition of a data center and other FAQs at http://cio.gov/fdcci.
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The Latin American data center construction market is experiencing robust growth, projected to reach a market size of $5.14 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) exceeding 8.71% from 2025 to 2033. This expansion is driven by several key factors. Firstly, the burgeoning digital economy across the region is fueling demand for increased data storage and processing capabilities. Secondly, growing adoption of cloud computing and the increasing reliance on digital services by businesses and governments are creating significant opportunities for data center development. Furthermore, investments in improving digital infrastructure, particularly in key markets like Brazil and Mexico, are further accelerating market growth. The market is segmented by infrastructure type (electrical, mechanical, and general construction), tier level (Tier I-IV), enterprise size (small, medium, and large), and end-user sectors (banking, IT, government, healthcare, etc.). Brazil, Mexico, and other major economies in the region are leading the market expansion. Challenges include regulatory hurdles and the need for skilled labor in some areas. Despite potential restraints, the long-term outlook remains positive. Continued growth in e-commerce, fintech, and other data-intensive industries will necessitate further data center expansion. The increasing adoption of sustainable practices within the data center industry, including the use of renewable energy sources for power, also represents a notable trend. The competitive landscape is dynamic, with both international and regional players vying for market share. Key players are focusing on strategic partnerships and expansions to cater to the rising demand. The market's trajectory suggests substantial opportunities for investors and developers in the coming years. The continued focus on digital transformation across Latin America will be the primary engine of growth, making this a highly attractive market for data center construction. Recent developments include: January 2023: The Santos Port Authority (SPA) is planning to have a new data center constructed by the Brazilian company Zeittec. Zeittec and the SPA, the state-owned organization in charge of running the Port of Santos in the state of So Paulo, have agreed to the terms of a building agreement for a new data center. It is anticipated that work on the Safe Room will begin in January and be finished in the middle of 2023. According to the firm, the SPA Safe Room will be safe from both break-ins and fires thanks to walls that have been certified by NBR 10.636 as being able to resist fire for up to 120 minutes (CF 120). It will have OM4 laser multimode optical fibers and CAT 6A structured cabling., December 2022: Aligned, which is financed by Macquarie Group, intends to acquire Odata. The parties are in "advanced discussions" about a deal that would value Odata at roughly $1.8 billion, including debt, and may be revealed as soon as next week. The company announced at the opening of its first Mexican facility earlier this year that it would soon start building a second 30MW data center in Querétaro, and Peru would be its next market.. Key drivers for this market are: Growth in Network Connectivity and Increased Adoption of Digital Transformation Related Technologies in the Region, Favorable tax Incentive Structure Introduced by Local Governments has Led to the Higher Participation from International Players; Ongoing Consolidation Efforts by Major Data Center Construction Companies to Aid their Expansion Activities; Growing Awareness on Modular Deployments and Increasing Rack Density. Potential restraints include: Growth in Network Connectivity and Increased Adoption of Digital Transformation Related Technologies in the Region, Favorable tax Incentive Structure Introduced by Local Governments has Led to the Higher Participation from International Players; Ongoing Consolidation Efforts by Major Data Center Construction Companies to Aid their Expansion Activities; Growing Awareness on Modular Deployments and Increasing Rack Density. Notable trends are: IT and Telecommunications Segment to Hold a Significant Share of the Market.
IM3 Open Source Data Center Atlas Description This dataset contains locations of existing data center facilities in the United States. Data center locations were derived from OpenStreetMap (OSM), a crowd-sourced database. Data points from OSM are processed in various ways to determine additional variables provided in the data including: facility area (square feet), associated US county, and US state. This dataset can be used to identify areas of concentrated data center development and inform government and private sector planning strategies for future buildout of data centers and the infrastructure necessary to support it. Usage Notes Validation of OSM-derived data center locations is an ongoing development under the IM3 project, and the database will be updated as new information becomes available. In some instances, both the data center area (e.g., campus) and individual data center buildings are included as overlapping areas in the database. Both values are retained. Data center points, buildings, and campus areas are provided as separate layers in the downloadable data package. Note that data items are not necessarily complete across layers. That is, a specific data center may only be present as a single point geometry in the "point" layer while other data centers are represented in both the campus and building layers. In some cases, data center campuses and/or buildings straddle a county boundary line. Mappings to both counties are retained in the database as separate rows. These data rows will have the same data center id information, but each will have different county information. Crowd-sourced data, by nature, relies on individuals and communities to provide information. As a result, some data may be missing where it has not yet been reported. As we collect information on additional data center locations and as OSM receives additional contributions, the database will be updated to capture additional data points not yet shown. Technical Information Data is available for download under the following formats: GeoPackage (GPKG) CSV Geospatial data is provided in the WGS84 (EPSG:4326) coordinate reference system. The GeoPackage download contains the following layers. See usage notes for more information. "point" "building" "campus" The "point" layer includes all data from OSM that had POINT geometry type (i.e., individual coordinates). The "building" layer includes all OSM data that did not have POINT geometry and where the building tag in the OSM export was neither equal to "no" or null. Data that did not meet the "point" or "building" qualification was assumed to be a facility campus and included in the "campus" layer. The dataset contains the following parameters. Variables provided by OSM are labeled with (OSM-provided). id - unique identification number (OSM-provided with prefix of "node/", "relation/" and similar attributes removed) state - name of US state state_abb - two letter US state abbreviation state_id - state ID number county - name of US county county_id - county ID number ref - reference numbers or codes (OSM-provided) operator - the name of the company, corporation, or person in charge facility (OSM-provided) name - name of facility (OSM-provided) sqft - surface area of facility polygon, measured in square feet. Only available for "building" and "campus" layers lat - latitude of data centroid point lon - longitude of data centroid point type – represented spatial information. One of "point", "building", or "campus". geometry – POLYGON geometry of area footprint (in "campus" and "building" layers) or POINT geometry of locations (in "point" layer). This parameter is not included in the csv download. Attribution Data center locations were derived from OpenStreetMap, which is made available at openstreetmap.org under the Open Database License (ODbL). US state and county boundary information was collected from the US Census Bureau for the year 2024, which is made publicly available at https://www.census.gov/geographies/mapping-files.html Acknowledgment IM3 is a multi-institutional effort led by Pacific Northwest National Laboratory and supported by the U.S. Department of Energy's Office of Science as part of research in MultiSector Dynamics, Earth and Environmental Systems Modeling Program. License The IM3 Open Source Data Center Atlas is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Disclaimer This material was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor the United States Department of Energy, nor the Contractor, nor any or their employees, nor any jurisdiction or organization that has cooperated in the development of these materials, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness or any information, apparatus, product, software, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof, or Battelle Memorial Institute. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. PACIFIC NORTHWEST NATIONAL LABORATORYoperated byBATTELLEfor theUNITED STATES DEPARTMENT OF ENERGYunder Contract DE-AC05-76RL01830
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The North America green data center market is experiencing robust growth, driven by increasing environmental concerns, stringent government regulations promoting energy efficiency, and the rising adoption of sustainable business practices. The market, valued at $37.27 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 20.38% from 2025 to 2033. This significant growth is fueled by several key factors. The increasing demand for energy-efficient data center infrastructure from cloud service providers and enterprises seeking to reduce their carbon footprint is a primary driver. Furthermore, advancements in green technologies, such as energy-efficient cooling systems, renewable energy integration (solar, wind), and optimized power distribution, are making green data center solutions more cost-effective and attractive. The segment breakdown reveals significant contributions from system integration, power solutions, and management software. Colocation providers and cloud service providers are key users, reflecting the industry's reliance on outsourced data center capabilities. The healthcare, financial services, and government sectors are prominent end-user industries, highlighting the critical role of reliable and sustainable data infrastructure across diverse sectors. While exact regional breakdowns within North America are not provided, it's reasonable to expect the United States to hold the largest market share due to its advanced technological infrastructure and high concentration of data centers. The competitive landscape is characterized by established players like Fujitsu, Cisco, HP, Dell EMC, IBM, and Schneider Electric, alongside other significant contributors. These companies are actively investing in research and development to offer innovative green data center solutions, further intensifying competition and driving innovation within the market. The market's continued expansion will likely be influenced by factors such as government incentives for green initiatives, technological advancements in renewable energy sources and energy storage, and the rising adoption of AI and machine learning, which demand significant computing power and energy efficiency. Potential restraints include the high initial investment costs associated with implementing green technologies and the complexity of integrating various sustainable solutions into existing data center infrastructure. However, the long-term benefits of reduced energy consumption, lower operational costs, and improved brand image are expected to outweigh these challenges, ensuring the market's continued growth trajectory. Recent developments include: October 2022: Dell Technologies and NTT collaboratively established a cutting-edge, environmentally friendly data center for the fintech firm Phone Pay. This state-of-the-art facility features robust data security measures, exceptional power efficiency, streamlined operational procedures, and cloud solutions. These innovations enable Phone Pay to create a sustainable and efficient infrastructure, facilitating the seamless nationwide expansion of their operations., April 2022: Iron Mountain, a global leader in forward-thinking storage solutions, data center infrastructure, asset lifecycle management, and information management services, proudly announced the prestigious BREEAM design certification for its Phoenix, AZ (AZP-2) data center. This accomplishment marks a significant milestone, as it becomes the inaugural data center in North America to attain this top-tier certification, recognized as the pinnacle of sustainable construction standards.. Key drivers for this market are: Increasing Demand for Data Storage, Focus on Energy Efficiency. Potential restraints include: Increasing Demand for Data Storage, Focus on Energy Efficiency. Notable trends are: Increasing Demand for Data Storage Expected to Drive the Market Growth.
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The global data centre market is projected to reach a value of $18.84 billion by 2033, expanding at a CAGR of 12.29% from 2025 to 2033. The market growth can also be attributed to the increasing demand for cloud services, proliferation of data-intensive applications, and increasing volume in digital content creation. Surging adoption of technologies in artificial intelligence (AI) and machine learning (ML) is at the top of the demand drivers for data center infrastructure. The segmentation in this space takes place on the basis of type, density, vertical, and region; with corporate data centers highly placed in market share, followed closely by web hosting data centers. High density data centers are expected to witness the highest growth rate, driven by increasing need for efficient and reliable storage solutions. In terms of verticals, banking & financial services, telecom & IT, and government sectors are the major consumers of data centre services. North America is the largest regional market followed by Europe and Asia Pacific. The segment is dominated by North America due to increased economic activities in this region and the presence of key data center service providers. Asia Pacific is expected to show the highest growth rates due to increasing demands from emerging economies of China and India. Recent developments include: In April 2022, Seagate Technology Holdings and Phison Electronics Corporation announced an expansion of their solid-state drive (SSD) portfolio, to assist data management centers in reducing their total cost ownership (TCO). This new focus comes from a growing demand of businesses for higher-density and faster, more-intelligent storage infrastructure to work alongside hybrid hard drive (HHD) storage, to facilitate comprehensive business applications, such as hyper-scale data centers, high-performance computing, and AI., In June 2021, NTT Communications Corporation announced the launch of Data Center Interconnect (GDCI), which is an integrated network fabric service. It delivers private and secure connections between NTT’s data centers and major cloud service providers.. Key drivers for this market are: The growth of cloud computing The increasing adoption of artificial intelligence and machine learning The growing demand for data storage The need for sustainability. Potential restraints include: The rising cost of energy The shortage of skilled labour The increasing complexity of data centre operations The need for security. Notable trends are: The adoption of edge computing The growth of hyperscale data centres The use of artificial intelligence and machine learning to automate data centre operations The development of new energy-efficient technologies.
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U.S. Census Bureau QuickFacts statistics for Louisiana. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
Catalogue of Spain's public sector information.
The catalogue covers the following information agencies. English titles have been generated by Google Translate, and may not reflect agencies' actual English titles.
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U.S. Census Bureau QuickFacts statistics for Montana. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
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U.S. Census Bureau QuickFacts statistics for Centre County, Pennsylvania. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
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U.S. Census Bureau QuickFacts statistics for Utah. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
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Posted quarterly, using FDCCI Task Force data reported to OMB through the quarterly Integrated Data Collection (IDC) deadline. Federal Data Center Consolidation Initiative (FDCCI) Data Center Closures 2010-2015. Under the FDDCI, agencies have categorized their agency data center populations into two categories: core and non-core. The government is closing 40% of agency-identified, non-core data centers, while optimizing agency-identified core-data centers, according to a series of total cost of ownership metrics (see OMB M-13-09 and OMB M-14-08). This dataset reflects information only for agency-identified, non-core closures. All questions or inquiries should be directed to the specific agencies. The FY2010 through FY2015 dataset provides a list of planned or closed data centers by agency and by city/state location since the FDCCI started. Please note ?OTHER? is listed for data centers in cloud, co-located or managed service data centers, where square footage is unavailable. See related information about the FDCCI, including the definition of a data center and other FAQs at http://cio.gov/fdcci.