There are few centralized information systems on the evolution and composition of public investment expenditure in Latin America, a critical aspect for monitoring and evaluating investment priorities. The Database of Public Investment Expenditure in Latin America (BDD-GIPAL), available for 16 countries in the region, provides cross-classifications of expenditures (economic, institutional, and functional) for the period 2000-2016. Analysis of BDD-GIPAL helps answer three key questions: How much is invested? Who invests? And in what is it invested? Public investment in the region increased from 2.8% to 3.9% of GDP (2002-2006 vs. 2012-2016); however, this growth was driven by only five countries. Some countries in the region have delegated greater responsibility for public investment spending to subnational governments. In four countries, subnational governments account for over 50% of total public investment expenditure. Nearly 50% of public investment spending in the region has been directed toward transportation infrastructure and housing and community services. In the current context of fiscal constraints across the region, BDD-GIPAL serves as a valuable resource for policymakers and society at large to analyze the prioritization and quality of public investment expenditure.

Important Note: This item is in mature support as of September 2023 and will be retired in December 2025. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.

The USGS Protected Areas Database of the United States (PAD-US) is the official inventory of public parks and other protected open space. The spatial data in PAD-US represents public lands held in trust by thousands of national, state and regional/local governments, as well as non-profit conservation organizations.This service does not include designations that often overlap state, private, or other in-holdings. See the USA Protected Areas - Manager Name map to view fee managers, designations, and easements. PAD-US is published by the U.S. Geological Survey (USGS) Science Analytics and Synthesis (SAS), Gap Analysis Project (GAP). GAP produces data and tools that help meet critical national challenges such as biodiversity conservation, recreation, public health, climate change adaptation, and infrastructure investment. See the GAP webpage for more information about GAP and other GAP data including species and land cover.Dataset SummaryPhenomenon Mapped: This layer displays protected areas symbolized by manager nameCoordinate System: Web Mercator Auxiliary SphereExtent: 50 United States plus Puerto Rico, the US Virgin Islands, the Northern Mariana Islands and other Pacific Ocean IslandsVisible Scale: 1:1,000,000 and largerSource: U.S. Geological Survey (USGS) Science Analytics and Synthesis (SAS), Gap Analysis Project (GAP) PAD-US version 3.0Publication Date: July 2022Attributes included in this layer are: CategoryOwner TypeOwner NameLocal OwnerManager TypeManager NameLocal ManagerDesignation TypeLocal DesignationUnit NameLocal NameSourcePublic AccessGAP Status - Status 1, 2, 3 or 4GAP Status DescriptionInternational Union for Conservation of Nature (IUCN) Description - I: Strict Nature Reserve, II: National Park, III: Natural Monument or Feature, IV: Habitat/Species Management Area, V: Protected Landscape/Seascape, VI: Protected area with sustainable use of natural resources, Other conservation area, UnassignedDate of EstablishmentThe source data for this layer are available here. What can you do with this layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but a vector tile layer created from the same data can be used at smaller scales to produce a webmap that displays across the full range of scales. The layer or a map containing it can be used in an application.Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections and apply filters. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Change the layer’s style and filter the data. For example, you could set a filter for Gap Status Code = 3 to create a map of only the GAP Status 3 areas.Add labels and set their propertiesCustomize the pop-upArcGIS ProAdd this layer to a 2d or 3d map. The same scale limit as Online applies in ProUse as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Note that many features in the PAD-US database overlap. For example wilderness area designations overlap US Forest Service and other federal lands. Any analysis should take this into consideration. An imagery layer created from the same data set can be used for geoprocessing analysis with larger extents and eliminates some of the complications arising from overlapping polygons.Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.

Important Note: This item is in mature support as of September 2023 and will be retired in December 2025. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.The USGS Protected Areas Database of the United States (PAD-US) is the official inventory of public parks and other protected open space. The spatial data in PAD-US represents public lands held in trust by thousands of national, state and regional/local governments, as well as non-profit conservation organizations.GAP 1 and 2 areas are primarily managed for biodiversity, GAP 3 are managed for multiple uses including conservation and extraction, GAP 4 no known mandate for biodiversity protection. Provides a general overview of protection status including management designations. PAD-US is published by the U.S. Geological Survey (USGS) Science Analytics and Synthesis (SAS), Gap Analysis Project (GAP). GAP produces data and tools that help meet critical national challenges such as biodiversity conservation, recreation, public health, climate change adaptation, and infrastructure investment. See the GAP webpage for more information about GAP and other GAP data including species and land cover.The USGS Protected Areas Database of the United States (PAD-US) classifies lands into four GAP Status classes:GAP Status 1 - Areas managed for biodiversity where natural disturbances are allowed to proceedGAP Status 2 - Areas managed for biodiversity where natural disturbance is suppressedGAP Status 3 - Areas protected from land cover conversion but subject to extractive uses such as logging and miningGAP Status 4 - Areas with no known mandate for protectionIn the United States, areas that are protected from development and managed for biodiversity conservation include Wilderness Areas, National Parks, National Wildlife Refuges, and Wild & Scenic Rivers. Understanding the geographic distribution of these protected areas and their level of protection is an important part of landscape-scale planning. Dataset SummaryPhenomenon Mapped: Areas protected from development and managed to maintain biodiversity Coordinate System: Web Mercator Auxiliary SphereExtent: 50 United States plus Puerto Rico, the US Virgin Islands, the Northern Mariana Islands and other Pacific Ocean IslandsVisible Scale: 1:1,000,000 and largerSource: USGS Science Analytics and Synthesis (SAS), Gap Analysis Project (GAP) PAD-US version 3.0Publication Date: July 2022Attributes included in this layer are: CategoryOwner TypeOwner NameLocal OwnerManager TypeManager NameLocal ManagerDesignation TypeLocal DesignationUnit NameLocal NameSourcePublic AccessGAP Status - Status 1, 2, or 3GAP Status DescriptionInternational Union for Conservation of Nature (IUCN) Description - I: Strict Nature Reserve, II: National Park, III: Natural Monument or Feature, IV: Habitat/Species Management Area, V: Protected Landscape/Seascape, VI: Protected area with sustainable use of natural resources, Other conservation area, UnassignedDate of EstablishmentThe source data for this layer are available here. What can you do with this Feature Layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but a vector tile layer created from the same data can be used at smaller scales to produce a webmap that displays across the full range of scales. The layer or a map containing it can be used in an application.Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections and apply filters. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Change the layer’s style and filter the data. For example, you could set a filter for Gap Status Code = 3 to create a map of only the GAP Status 3 areas.Add labels and set their propertiesCustomize the pop-upArcGIS ProAdd this layer to a 2d or 3d map. The same scale limit as Online applies in ProUse as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Note that many features in the PAD-US database overlap. For example wilderness area designations overlap US Forest Service and other federal lands. Any analysis should take this into consideration. An imagery layer created from the same data set can be used for geoprocessing analysis with larger extents and eliminates some of the complications arising from overlapping polygons.Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.

Important Note: This item is in mature support as of September 2023 and will be retired in December 2025. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.The USGS Protected Areas Database of the United States (PAD-US) is the official inventory of public parks and other protected open space. The spatial data in PAD-US represents public lands held in trust by thousands of national, state and regional/local governments, as well as non-profit conservation organizations.GAP Status Code is a measure of management intent to permanently protect biodiversity. GAP 1 and 2 areas are primarily managed for biodiversity, GAP 3 are managed for multiple uses including conservation and extraction, GAP 4 no known mandate for biodiversity protection.This vector tile layer was created for use in a webmap with a feature layer created from the same data set.PAD-US is published by the U.S. Geological Survey (USGS) Science Analytics and Synthesis (SAS), Gap Analysis Project (GAP). GAP produces data and tools that help meet critical national challenges such as biodiversity conservation, recreation, public health, climate change adaptation, and infrastructure investment. See the GAP webpage for more information about GAP and other GAP data including species and land cover.

This data publication includes the data used to quantify the amount and spatial arrangement of land available for mechanical risk reduction fuel treatments after considering operational constraints within the twenty-one landscapes prioritized in the USDA Forest Service Wildfire Crisis Strategy (WCS) plan which was initiated in 2022. These landscapes are found in the western United States: Arizona, California, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, and Washington. Data were prepared by combining readily available datasets in a Google Earth Engine workflow. This data publication includes two different types of files which were generated using source data from the years 2016-2023: 1) a layered raster dataset (GeoTIFF file) for each of the twenty-one priority landscapes for the three different constraint scenarios considered; and 2) a comma-separated values (CSV) file containing data on the total area remaining available for mechanical operations under the three operational scenarios within individual fireshed project areas (with at least 25% overlap with a priority landscape). The GeoTIFF files can be used to determine the spatial extent of mechanically available land at the priority landscape level and to identify which constraining factor(s) is the most limiting. The CSV file was used to quantify the spatial arrangement of mechanically available and constrained land at the fireshed project area level using the USFS Fireshed Registry nested spatial framework.The USDA Forest Service Wildfire Crisis Strategy was initiated with the goal to implement proactive management actions to foster fire- and climate-adapted forests in the western United States. This plan was backed by billions of dollars in funding by the United States federal government appropriated through the Infrastructure Investment and Jobs Act of 2021 (P.L. 117-581) and the Inflation Reduction Act of 2022 (P.L. 117-1692) made available to the Forest Service to complete the proposed work. Even with substantial funding allocated to complete the fuels reduction work needed, prior research that considered layered legal, operational, and administrative constraints to implementing mechanical operations indicates that there could be major challenges to completing the proposed work on some landscapes, whereas meeting treatment objectives may be more feasible on other landscapes. This analysis and the resulting data were performed to quantify the amount and spatial arrangement of land available for mechanical risk reduction fuel treatments after considering layered operational constraints within the twenty-one landscapes identified in the Wildfire Crisis Strategy.Full details regarding this study and these data can be found in Woolsey et al. (2024). The Fireshed Registry (Ager et al. 2021) contains details on the nested spatial framework created to organize the landscape into units for managing wildfire risk to communities. Source code used to generate these datasets and perform analysis for this project is provided in Woolsey (2024).

PADUS FS National Designated Areas

An area depicting designated land boundaries, excluding boundaries designated by proclamation. This data is intended for read-only use. The PAD-US feature classes were developed by the Forest Service for submission to the Protected Areas Database of the United States (PAD-US). It is the official inventory of public parks and other protected open space. With more than 3 billion acres in 150,000 holdings, the spatial data in PAD-US represents public lands held in trust by thousands of national, State and regional/local governments, as well as non-profit conservation organizations. PAD-US is published by the U.S. Geological Survey Gap Analysis Program (GAP). GAP produces data and tools that help meet critical national challenges such as biodiversity, conservation, recreation, public health, climate change adaptation, and infrastructure investment.

Database Architecture as a Service Market Outlook

The global Database Architecture as a Service market size was valued at approximately USD 15 billion in 2023 and is projected to reach USD 40 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.5% during the forecast period. The growth in this market is primarily driven by the increasing demand for efficient data management solutions and the adoption of cloud-based services across various industries.

The demand for Database Architecture as a Service is being increasingly driven by the growing volume of data generated across industries. The proliferation of digitalization initiatives and the rapid growth of e-commerce have contributed significantly to this surge. Enterprises are realizing the need for robust data management systems that can handle large datasets efficiently while ensuring data security and compliance. The Database Architecture as a Service market is well-positioned to cater to these needs by offering scalable, flexible, and cost-effective solutions.

Another significant growth factor is the rising adoption of cloud computing. Businesses are increasingly migrating their workloads to the cloud to leverage its numerous benefits, including cost savings, scalability, and enhanced performance. Cloud service providers are continuously innovating and expanding their offerings to include advanced database architecture services that cater to diverse business requirements. This trend is expected to further bolster the market's growth over the forecast period.

The increasing focus on data-driven decision-making is also contributing to the market's growth. Organizations are leveraging data analytics to gain actionable insights and drive business growth. This necessitates the need for efficient database management solutions that can support complex data queries and analytics. Database Architecture as a Service offers the necessary infrastructure and tools to facilitate data analytics, thereby driving its adoption across various industries.

From a regional perspective, North America holds a significant share of the Database Architecture as a Service market, driven by the presence of major technology companies and early adoption of advanced technologies. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by rapid digital transformation initiatives and increasing investments in cloud infrastructure. Europe and Latin America are also expected to contribute significantly to the market's growth, fueled by the growing emphasis on data governance and compliance.

Service Type Analysis

The Database Architecture as a Service market is segmented into Consulting, Implementation, and Maintenance services. Consulting services are essential for organizations looking to design and implement efficient database architectures. These services involve assessing the existing IT infrastructure, identifying gaps, and recommending suitable solutions. The demand for consulting services is expected to grow as organizations seek expert guidance to navigate the complexities of modern database management.

Implementation services play a crucial role in the successful deployment of database architecture solutions. These services involve the actual installation, configuration, and integration of database systems with existing IT infrastructure. The growing need for seamless data integration and automation is driving the demand for implementation services. As businesses increasingly adopt cloud-based database solutions, the need for specialized implementation services is expected to rise significantly.

Maintenance services are critical for ensuring the smooth functioning of database systems. These services include regular monitoring, troubleshooting, and updating of database systems to ensure optimal performance and security. With the increasing focus on data security and compliance, the demand for maintenance services is expected to grow. Organizations are increasingly outsourcing these services to specialized providers to ensure their database systems remain up-to-date and secure.

The Consulting, Implementation, and Maintenance segments each play a vital role in the Database Architecture as a Service market. Together, they offer a comprehensive solution that covers all aspects of database management, from initial design and implementation to ongoing maintenance and support. As the market continues to evolve, the demand for these services is expected to grow, driven by the incr

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Data Center Server Market Size 2025-2029

The data center server market size is forecast to increase by USD 226.34 billion, at a CAGR of 20.6% between 2024 and 2029.

The market is witnessing significant growth, driven by the increasing demand for scalability and efficiency in data management. Companies are investing heavily in expanding their in-house data centers to accommodate growing data volumes and support digital transformation initiatives. This trend is expected to continue as businesses seek to maintain control over their data and applications. Data centers face the challenge of increasing power consumption due to the growing adoption of complex workloads such as cloud computing, AI, machine learning, and IoT. Another key driver in the market is the adoption of server disaggregation, which enables organizations to separate compute and network resources, improving server utilization rates.
However, challenges remain, including the need for advanced management tools to optimize server workloads effectively. Additionally, ensuring data security and compliance with evolving regulations, such as GDPR and HIPAA, pose significant challenges for organizations in the market. Companies must navigate these obstacles to capitalize on the opportunities presented by the growing demand for data center servers and the trend towards server disaggregation. Moreover, unforeseen rises in enterprise server capacity demands add to the complexity of the situation.

What will be the Size of the Data Center Server Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, driven by the ever-increasing demand for digital transformation and cloud computing. Applications server deployment strategies are becoming more complex, necessitating advanced server processor performance and load balancing solutions. Server lifecycle management and high-availability clusters are crucial for maintaining business continuity and ensuring optimal server utilization. Storage capacity planning and network bandwidth capacity are essential components of data center design, with energy efficiency metrics and power usage effectiveness gaining significant attention. Thermal management systems and server rack density optimization are crucial for managing the physical infrastructure, while remote server management and data center automation streamline operations.

Virtual desktop infrastructure and software-defined networking are transforming the way organizations deliver applications and manage their networks. Hyperconverged infrastructure and storage area networks offer simplified data center architecture and improved scalability. Server virtualization, cloud server migration, and IT infrastructure monitoring are key trends shaping the future of the market. Ongoing market activities include the development of advanced server processors, server operating systems, and network infrastructure designs. Server performance tuning and database server optimization are essential for maximizing server efficiency and reducing costs. Physical security systems and hardware redundancy ensure data center resilience, while virtual machine sprawl and rack space optimization are critical considerations for managing server resources effectively.

How is this Data Center Server Industry segmented?

The data center server industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Application

  Commercial server
  Industrial server


Type

  Rack server
  Blade server
  Tower server
  Microserver
  Open compute project server


End-user

  Large enterprises
  SMEs


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Application Insights

The Commercial server segment is estimated to witness significant growth during the forecast period. The data center market is experiencing significant growth and transformation, driven by the increasing adoption of application server deployment, virtual desktop infrastructure, and server virtualization. Disaster recovery planning and data center automation are becoming essential components of business continuity strategies, leading to the integration of thermal management systems and energy efficiency metrics such as power usage effectiveness. Server rack density and remote server management are crucial for optimizing server capacity planning and server lifecycle management. High-availability clusters and server load balancing ensure uninterrupted operations, wh

The USGS Protected Areas Database of the United States (PAD-US) is the official inventory of public parks and other protected open space. The spatial data in PAD-US represents public lands held in trust by thousands of national, state and regional/local governments, as well as non-profit conservation organizations.Manager Type provides a coarse level land manager description from the PAD-US "Agency Type" Domain, "Manager Type" Field (for example, Federal, State, Local Government, Private).PAD-US is published by the U.S. Geological Survey (USGS) Science Analytics and Synthesis (SAS), Gap Analysis Project (GAP). GAP produces data and tools that help meet critical national challenges such as biodiversity conservation, recreation, public health, climate change adaptation, and infrastructure investment. See the GAP webpage for more information about GAP and other GAP data including species and land cover.Dataset SummaryPhenomenon Mapped: This layer displays protected areas symbolized by manager type.Coordinate System: Web Mercator Auxiliary SphereExtent: 50 United States plus Puerto Rico, the US Virgin Islands, the Northern Mariana Islands and other Pacific Ocean IslandsVisible Scale: 1:1,000,000 and largerSource: U.S. Geological Survey (USGS) Science Analytics and Synthesis (SAS), Gap Analysis Project (GAP) PAD-US version 3.0Publication Date: July 2022Attributes included in this layer are: CategoryOwner TypeOwner NameLocal OwnerManager TypeManager NameLocal ManagerDesignation TypeLocal DesignationUnit NameLocal NameSourcePublic AccessGAP Status - Status 1, 2, 3 or 4GAP Status DescriptionInternational Union for Conservation of Nature (IUCN) Description - I: Strict Nature Reserve, II: National Park, III: Natural Monument or Feature, IV: Habitat/Species Management Area, V: Protected Landscape/Seascape, VI: Protected area with sustainable use of natural resources, Other conservation area, UnassignedDate of EstablishmentThe source data for this layer are available here. What can you do with this Feature Layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but a vector tile layer created from the same data can be used at smaller scales to produce a webmap that displays across the full range of scales. The layer or a map containing it can be used in an application.Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections and apply filters. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Change the layer’s style and filter the data. For example, you could set a filter for Gap Status Code = 3 to create a map of only the GAP Status 3 areas.Add labels and set their propertiesCustomize the pop-upArcGIS ProAdd this layer to a 2d or 3d map. The same scale limit as Online applies in ProUse as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Note that many features in the PAD-US database overlap. For example wilderness area designations overlap US Forest Service and other federal lands. Any analysis should take this into consideration. An imagery layer created from the same data set can be used for geoprocessing analysis with larger extents and eliminates some of the complications arising from overlapping polygons.Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.