GIS Data Management Market Outlook

The global GIS Data Management market size is projected to grow from USD 12.5 billion in 2023 to USD 25.6 billion by 2032, exhibiting a CAGR of 8.4% during the forecast period. This impressive growth is driven by the increasing adoption of geographic information systems (GIS) across various sectors such as urban planning, disaster management, and agriculture. The rising need for effective data management systems to handle the vast amounts of spatial data generated daily also significantly contributes to the market's expansion.

One of the primary growth factors for the GIS Data Management market is the burgeoning demand for spatial data analytics. Businesses and governments are increasingly leveraging GIS data to make informed decisions and strategize operational efficiencies. With the rapid urbanization and industrialization worldwide, there's an unprecedented need to manage and analyze geographic data to plan infrastructure, monitor environmental changes, and optimize resource allocation. Consequently, the integration of GIS with advanced technologies like artificial intelligence and machine learning is becoming more prominent, further fueling market growth.

Another significant factor propelling the market is the advancement in GIS technology itself. The development of sophisticated software and hardware solutions for GIS data management is making it easier for organizations to capture, store, analyze, and visualize geographic data. Innovations such as 3D GIS, real-time data processing, and cloud-based GIS solutions are transforming the landscape of geographic data management. These advancements are not only enhancing the capabilities of GIS systems but also making them more accessible to a broader range of users, from small enterprises to large governmental agencies.

The growing implementation of GIS in disaster management and emergency response activities is also a critical factor driving market growth. GIS systems play a crucial role in disaster preparedness, response, and recovery by providing accurate and timely geographic data. This data helps in assessing risks, coordinating response activities, and planning resource deployment. With the increasing frequency and intensity of natural disasters, the reliance on GIS data management systems is expected to grow, resulting in higher demand for GIS solutions across the globe.

Geospatial Solutions are becoming increasingly integral to the GIS Data Management landscape, offering enhanced capabilities for spatial data analysis and visualization. These solutions provide a comprehensive framework for integrating various data sources, enabling users to gain deeper insights into geographic patterns and trends. As organizations strive to optimize their operations and decision-making processes, the demand for robust geospatial solutions is on the rise. These solutions not only facilitate the efficient management of spatial data but also support advanced analytics and real-time data processing. By leveraging geospatial solutions, businesses and governments can improve their strategic planning, resource allocation, and environmental monitoring efforts, thereby driving the overall growth of the GIS Data Management market.

Regionally, North America holds a significant share of the GIS Data Management market, driven by high technology adoption rates and substantial investments in GIS technologies by government and private sectors. However, Asia Pacific is anticipated to witness the highest growth rate during the forecast period. The rapid urbanization, economic development, and increasing adoption of advanced technologies in countries like China and India are major contributors to this growth. Governments in this region are also focusing on smart city projects and infrastructure development, which further boosts the demand for GIS data management solutions.

Component Analysis

The GIS Data Management market is segmented by component into software, hardware, and services. The software segment is the largest and fastest-growing segment, driven by the continuous advancements in GIS software capabilities. GIS software applications enable users to analyze spatial data, create maps, and manage geographic information efficiently. The integration of GIS software with other enterprise systems and the development of user-friendly interfaces are key factors propelling the growth of this segment. Furthermore, the rise of mobile GIS applications, which allow field data collectio

Use this guide to find information on Tempe data policy and standards.Open Data PolicyEthical Artificial Intelligence (AI) PolicyEvaluation PolicyExpedited Data Sharing PolicyData Sharing Agreement (General)Data Sharing Agreement (GIS)Data Quality Standard and ChecklistDisaggregated Data StandardsData and Analytics Service Standard

The Geographic Information Systems (GIS) Platform market is experiencing robust growth, projected to reach a market size of $4078.2 million in 2025. While the provided CAGR is missing, considering the widespread adoption of GIS across various sectors like government, utilities, and commercial businesses, coupled with advancements in cloud-based GIS and increasing demand for spatial analytics, a conservative estimate of the Compound Annual Growth Rate (CAGR) between 2025 and 2033 would be around 7-9%. This suggests a significant expansion of the market over the forecast period. Key drivers include the rising need for efficient resource management, improved infrastructure planning, precise location-based services, and the growing adoption of big data analytics combined with location intelligence. The market is segmented by type (Desktop GIS, Web Map Service GIS, Others) and application (Government & Utilities, Commercial Use), reflecting the diverse applications of GIS technology. Leading players like Environmental Systems Research Institute (Esri), Hexagon, Pitney Bowes, and SuperMap are shaping the market landscape through continuous innovation and strategic partnerships. The North American market currently holds a significant share due to high technology adoption and substantial investments in GIS infrastructure, but rapid growth is anticipated in Asia Pacific regions like China and India driven by urbanization and infrastructure development. The increasing availability of affordable high-resolution imagery and data fuels further expansion. The continued integration of GIS with other technologies like AI and IoT is expected to unlock new applications and further drive market growth. Challenges include the high initial investment costs for sophisticated GIS solutions, the need for skilled professionals to manage and interpret data, and ensuring data security and privacy. However, the benefits of improved decision-making, optimized resource allocation, and enhanced operational efficiency are expected to outweigh these challenges, contributing to the sustained expansion of the GIS Platform market throughout the forecast period. The market's future trajectory remains positive, fueled by technological advancements and the increasing reliance on location intelligence across various industries.

SurfaceManagementAgency: The Surface Management Agency (SMA) Geographic Information System (GIS) dataset depicts Federal land for the United States and classifies this land by its active Federal surface managing agency. The SMA feature class covers the continental United States, and Alaska. A Federal SMA agency refers to a Federal agency with administrative jurisdiction over the surface of Federal lands. Jurisdiction over the land is defined when the land is either: Withdrawn by some administrative or legislative action, or Acquired or Exchanged by a Federal Agency. This layer is a dynamic assembly of spatial data layers maintained at various federal and local government offices. The GIS data contained in this dataset represents the polygon features that show the boundaries for Surface Management Agency and the surface extent of each Federal agency’s surface administrative jurisdiction. SMA data depicts current withdrawn areas for a particular agency and (when appropriate) includes land that was acquired or exchanged and is located outside of a withdrawal area for that agency. The SMA data do not illustrate land status ownership pattern boundaries or contain land ownership attribute details.The full Kansas geospatial catalog is administered by the Kansas Data Access & Support Center (DASC) and can be found at the following URL: https://hub.kansasgis.org/

The Surface Management Agency (SMA) Geographic Information System (GIS) dataset depicts Federal land for the United States and classifies this land by its active Federal surface managing agency. The SMA feature class covers the continental United States, Alaska, Hawaii, Puerto Rico, Guam, American Samoa and the Virgin Islands. A Federal SMA agency refers to a Federal agency with administrative jurisdiction over the surface of Federal lands. Jurisdiction over the land is defined when the land is either: Withdrawn by some administrative or legislative action, or Acquired or Exchanged by a Federal Agency. This layer is a dynamic assembly of spatial data layers maintained at various federal and local government offices. The GIS data contained in this dataset represents the polygon features that show the boundaries for Surface Management Agency and the surface extent of each Federal agency’s surface administrative jurisdiction. SMA data depicts current withdrawn areas for a particular agency and (when appropriate) includes land that was acquired or exchanged and is located outside of a withdrawal area for that agency. The SMA data do not illustrate land status ownership pattern boundaries or contain land ownership attribute details. The SMA Withdrawals feature class covers the continental United States, Alaska, Hawaii, Puerto Rico, Guam, American Samoa and the Virgin Islands. A Federal SMA Withdrawal is defined by formal actions that set aside, withhold, or reserve Federal land by statute or administrative order for public purposes. A withdrawal creates a title encumbrance on the land. Withdrawals must accomplish one or more of the following: A. Transfer total or partial jurisdiction of Federal land between Federal agencies. B. Close (segregate) Federal land to operation of all or some of the public land laws and/or mineral laws. C. Dedicate Federal land to a specific public purpose. There are four major categories of formal withdrawals: (1) Administrative, (2) Presidential Proclamations, (3) Congressional, and (4) Federal Power Act (FPA) or Federal Energy Regulatory Commission (FERC) Withdrawals. These SMA Withdrawals will include the present total extent of withdrawn areas rather than all of the individual withdrawal actions that created them over time. A Federal SMA agency refers to a Federal agency with administrative jurisdiction over the surface of Federal lands. Jurisdiction over the land is defined when the land is either: Withdrawn by some administrative or legislative action, or Acquired or Exchanged by a Federal Agency. This layer is a dynamic assembly of spatial data layers maintained at various federal and local government offices. The GIS data contained in this dataset represents the polygon features that show the boundaries for Surface Management Agency and the surface extent of each Federal agency’s surface administrative jurisdiction. SMA data depicts current withdrawn areas for a particular agency and (when appropriate) includes land that was acquired or exchanged and is located outside of a withdrawal area for that agency. The SMA data do not illustrate land status ownership pattern boundaries or contain land ownership attribute details.

Dataset contains training material on using open source Geographic Information Systems (GIS) to improve protected area planning and management from a workshop that was conducted on August 17-21, 2020. Specifically, the dataset contains lectures on GIS fundamentals, QGIS 3.x, and global positioning system (GPS), as well as country-specific datasets and a workbook containing exercises for viewing data, editing/creating datasets, and creating map products in QGIS. Supplemental videos that narrate a step-by-step recap and overview of these processes are found in the Related Content section of this dataset.

Funding for this workshop and material was funded by the Biodiversity and Protected Areas Management (BIOPAMA) programme. The BIOPAMA programme is an initiative of the Organisation of African, Caribbean and Pacific (ACP) Group of States financed by the European Union's 11th European Development Fund. BIOPAMA is jointly implemented by the International Union for Conservation of Nature {IUCN) and the Joint Research Centre of the European Commission (EC-JRC). In the Pacific region, BIOPAMA is implemented by IUCN's Oceania Regional Office (IUCN ORO) in partnership with the Secretariat of the Pacific Regional Environment Programme (SPREP). The overall objective of the BIOPAMA programme is to contribute to improving the long-term conservation and sustainable use of biodiversity and natural resources in the Pacific ACP region in protected areas and surrounding communities through better use and monitoring of information and capacity development on management and governance.

Dataset contains training material on using open source Geographic Information Systems (GIS) to improve protected area planning and management from workshops that were conducted on February 19-21 and October 6-7, 2020. Specifically, the dataset contains lectures on GIS fundamentals, QGIS 3.x, and global positioning system (GPS), as well as country-specific datasets and a workbook containing exercises for viewing data, editing/creating datasets, and creating map products in QGIS. Supplemental videos that narrate a step-by-step recap and overview of these processes are found in the Related Content section of this dataset.

Funding for this workshop and material was funded by the Biodiversity and Protected Areas Management (BIOPAMA) programme. The BIOPAMA programme is an initiative of the Organisation of African, Caribbean and Pacific (ACP) Group of States financed by the European Union's 11th European Development Fund. BIOPAMA is jointly implemented by the International Union for Conservation of Nature {IUCN) and the Joint Research Centre of the European Commission (EC-JRC). In the Pacific region, BIOPAMA is implemented by IUCN's Oceania Regional Office (IUCN ORO) in partnership with the Secretariat of the Pacific Regional Environment Programme (SPREP). The overall objective of the BIOPAMA programme is to contribute to improving the long-term conservation and sustainable use of biodiversity and natural resources in the Pacific ACP region in protected areas and surrounding communities through better use and monitoring of information and capacity development on management and governance.

GIS Asset Management Software Market Outlook

The global GIS Asset Management Software market size was valued at approximately USD 3.5 billion in 2023 and is forecasted to reach an estimated USD 7.8 billion by 2032, growing at a CAGR of 9.2% over the forecast period. The significant growth factor behind this trend is the increasing adoption of GIS technology across various industries to enhance operational efficiency and decision-making capabilities.

One of the primary growth drivers for the GIS Asset Management Software market is the rising need for efficient asset management solutions across multiple sectors, such as utilities, transportation, and government. The ability of GIS technology to provide real-time data and spatial analysis helps organizations better manage their assets, reduce operational costs, and improve service delivery. Additionally, the integration of advanced technologies like IoT and AI with GIS platforms is further enhancing the capabilities of these systems, making them indispensable tools for modern asset management.

Another crucial factor contributing to the market's growth is the increasing investment in infrastructure development worldwide. Governments and private organizations are heavily investing in constructing new infrastructure and upgrading existing ones. GIS Asset Management Software plays a vital role in planning, monitoring, and maintaining infrastructure projects, thereby ensuring their longevity and optimal performance. The growing emphasis on smart city initiatives is also driving the demand for GIS solutions as they help in efficient urban planning and management.

The rising awareness about the benefits of GIS technology among small and medium enterprises (SMEs) is also fueling market growth. Previously dominated by large enterprises, the market is now witnessing increased adoption among SMEs due to the availability of cost-effective and scalable GIS solutions. These software systems are helping SMEs streamline their operations, optimize resource utilization, and gain a competitive edge in the market. Additionally, the shift towards cloud-based solutions is making GIS technology more accessible and affordable for smaller organizations.

From a regional perspective, North America is expected to hold the largest market share due to the early adoption of advanced technologies and the presence of major GIS software providers. However, the Asia Pacific region is anticipated to witness the highest growth rate over the forecast period, driven by rapid urbanization, infrastructure development, and increasing government initiatives to modernize asset management practices. Europe, Latin America, and the Middle East & Africa are also expected to contribute significantly to the market growth, with varying degrees of adoption and investment in GIS technology.

Component Analysis

Software

The software segment holds a significant share in the GIS Asset Management Software market due to the essential role that GIS software plays in managing and analyzing spatial data. GIS software provides organizations with the tools needed to capture, store, manipulate, analyze, manage, and present geographic data. This functionality is crucial for managing assets spread across large geographic areas, such as utilities and transportation networks. The continuous development of new features and capabilities, such as 3D visualization, real-time data integration, and advanced analytics, is further driving the adoption of GIS software across various industries.

Moreover, the rise of customized GIS software solutions tailored to specific industry needs is another factor contributing to the growth of the software segment. For instance, utilities require software that can handle complex network data, whereas natural resource management might need tools for environmental monitoring and analysis. Customized solutions enhance the usability and effectiveness of GIS software, making it more appealing to organizations with unique requirements. Additionally, the integration of GIS software with other enterprise systems, such as ERP and CRM, is streamlining operations and improving overall efficiency.

The increasing adoption of cloud-based GIS software is also shaping the market dynamics. Cloud-based solutions offer several advantages, such as reduced IT infrastructure costs, scalability, and remote accessibility, which are particularly beneficial for SMEs. These solutions are making GIS technology more accessible to a broader range of organizations, thereby expanding the marke

The North Carolina state and local government metadata profile as adopted by the NC Geographic Information Coordinating Council. The document and other information can be found at: https://it.nc.gov/documents/files/gicc-smac-state-local-gov-metadata-profile.

The Geographic Management Information System (GeoMIS) is a FISMA Moderate minor application built using ArcGIS Server and portal, Microsoft SQL, and a web-facing front-end. The system can be accessed over the internet via https://www.usaidgiswbg.com using a web browser. GeoMIS is based on a commercial off-the-shelf product developed by Esri. Esri is creates geographic information system (GIS) software, web GIS and geodatabase management applications and is based in California. GeoMISIt is maintained by an Israeli company, Systematics (see Attachment 3) which is EsriI's agent in Israel. The mission has an annual maintenance contract with Systematics for GeoMIS. GeoMIS has 100 users from USAID staff (USA Direct Hire and Foreign Service Nationals) and 200 users from USAID contractors and grantees. The system is installed at USAID WBG office in Tel Aviv/Israel inside the computer room in the DMZ. It has no interconnections with any other system.

Antarctic Territorial Claims GIS Dataset. This dataset is based on data displayed on the map 'Antarctica' published in 1979. The map states 'The indication of boundaries on this map and the description of the areas within them are intended to agree with national legislation of the countries concerned but are not to be treated as evidence of the official views of the Government of Australia with respect to the national legislation of other countries.'

The dataset represents Antarctic Territorial Claims from the south pole to the Antarctic coastline for each nation.

[Metadata] Description: Special Management Areas in the State of Hawaii. Source: Counties of Hawaii, Honolulu, Kauai and Maui.Sources and Dates:** NOTE: confirmed with all 4 counties that boundaries are still current - November 2023.** City and County of Honolulu: October, 2021 (downloaded from Honolulu Open Geospatial Data Portal, May 2022).County of Maui: May, 2018 (still current as of May, 2022)County of Hawaii: April, 2022County of Kauai: August, 2018 (still current as of May, 2022)For additional information, please refer to complete metadata at https://files.hawaii.gov/dbedt/op/gis/data/sma.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

The global Government Information Construction Service market is experiencing robust growth, driven by increasing government investments in digital infrastructure, the rising adoption of cloud-based solutions for enhanced data security and accessibility, and the growing need for efficient and streamlined information management systems. The market's expansion is further fueled by the imperative to improve citizen services through digital channels and the ongoing development of smart city initiatives. While on-premises solutions still hold a significant share, the cloud-based segment is witnessing accelerated growth, projected to dominate the market in the coming years due to its scalability, cost-effectiveness, and enhanced accessibility. Regional variations exist, with North America and Europe currently leading the market due to advanced technological infrastructure and high government spending on digital transformation projects. However, Asia-Pacific is poised for substantial growth, driven by rapid urbanization and increasing government initiatives focused on digitalization and e-governance. Challenges include data security concerns, the need for robust cybersecurity measures, and the complexities associated with integrating legacy systems with new cloud-based solutions. This requires significant investment in training and skilled personnel to manage and maintain these systems effectively. The market is highly competitive, with established players like IBM, Microsoft, and SAP competing with specialized service providers and consulting firms such as Accenture and Deloitte. The forecast period (2025-2033) anticipates continued expansion, propelled by ongoing technological advancements and increasing government focus on data-driven decision-making. The shift towards advanced analytics and artificial intelligence (AI) in government operations is another key growth driver, enabling more efficient resource allocation, improved public services, and better citizen engagement. Furthermore, the increasing adoption of big data technologies and the Internet of Things (IoT) within government infrastructure will further drive the demand for robust information construction services. However, potential restraints include budgetary constraints in some regions, concerns regarding data privacy and compliance, and the need for seamless interoperability across different government agencies and systems. The market will witness a dynamic landscape with ongoing mergers and acquisitions, strategic partnerships, and the emergence of innovative solutions catering to specific government needs. Competitive differentiation will increasingly rely on the ability to provide secure, scalable, and user-friendly solutions that address the evolving challenges of public sector information management.

Abstract : The search for the most appropriate GIS data model to integrate, manipulate and analyse spatio-temporal data raises several research questions about the conceptualisation of geographic spaces. Although there is now a general consensus that many environmental phenomena require field and object conceptualisations to provide a comprehensive GIS representation, there is still a need for better integration of these dual representations of space within a formal spatio-temporal database. The research presented in this paper introduces a hybrid and formal dual data model for the representation of spatio-temporal data. The whole approach has been fully implemented in PostgreSQL and its spatial extension PostGIS, where the SQL language is extended by a series of data type constructions and manipulation functions to support hybrid queries. The potential of the approach is illustrated by an application to underwater geomorphological dynamics oriented towards the monitoring of the evolution of seabed changes. A series of performance and scalability experiments are also reported to demonstrate the computational performance of the model.Data Description : The data set used in our research is a set of bathymetric surveys recorded over three years from 2009 to 2011 as Digital Terrain Models (DTM) with 2m grid spacing. The first survey was carried out in February 2009 by the French hydrographic office, the second one was recorded on August-September 2010 and the third in July 2011, both by the “Institut Universitaire Européen de la Mer”.

The Government Information Construction Service market is experiencing robust growth, driven by increasing government initiatives to modernize infrastructure, enhance citizen services, and improve data management capabilities. The market's expansion is fueled by a rising need for efficient and secure data handling, particularly in the context of smart city development and the increasing adoption of cloud-based solutions. This shift towards cloud-based services offers scalability, cost-effectiveness, and improved accessibility, surpassing traditional on-premises systems. While the initial investment for cloud migration can be substantial, the long-term benefits in terms of reduced maintenance costs and enhanced agility are compelling government agencies to embrace this technology. Furthermore, the growing adoption of data analytics and artificial intelligence (AI) within government operations is further fueling market growth, enabling better decision-making and enhanced service delivery. However, challenges remain, including concerns about data security, interoperability issues across different systems, and the need for skilled professionals to manage and maintain these complex systems. Regional variations exist within the market, with North America and Europe currently holding the largest market share, due to advanced digital infrastructure and high government spending on IT initiatives. However, Asia-Pacific is emerging as a region with significant growth potential, driven by substantial investments in digital transformation across various governments within the region. The market is segmented by application (city and rural) and deployment type (cloud-based and on-premises). Cloud-based solutions are witnessing rapid adoption, while on-premises deployments remain relevant, particularly in sectors with stringent security requirements. Key players like IBM, Microsoft, SAP, Oracle, and Accenture are actively involved in providing solutions, fostering competition and innovation within the sector. The forecast period (2025-2033) anticipates sustained growth, propelled by continued digital transformation efforts and the increasing importance of data-driven governance. Let's assume a 2025 market size of $15 billion, with a CAGR of 12% for the forecast period. This implies a substantial market expansion by 2033.

Dataset contains training material on using open source Geographic Information Systems (GIS) to improve protected area planning and management from a workshop that was conducted on October 19-23, 2020. Specifically, the dataset contains lectures on GIS fundamentals, QGIS 3.x, and global positioning system (GPS), as well as country-specific datasets and a workbook containing exercises for viewing data, editing/creating datasets, and creating map products in QGIS. Supplemental videos that narrate a step-by-step recap and overview of these processes are found in the Related Content section of this dataset.

Funding for this workshop and material was funded by the Biodiversity and Protected Areas Management (BIOPAMA) programme. The BIOPAMA programme is an initiative of the Organisation of African, Caribbean and Pacific (ACP) Group of States financed by the European Union's 11th European Development Fund. BIOPAMA is jointly implemented by the International Union for Conservation of Nature {IUCN) and the Joint Research Centre of the European Commission (EC-JRC). In the Pacific region, BIOPAMA is implemented by IUCN's Oceania Regional Office (IUCN ORO) in partnership with the Secretariat of the Pacific Regional Environment Programme (SPREP). The overall objective of the BIOPAMA programme is to contribute to improving the long-term conservation and sustainable use of biodiversity and natural resources in the Pacific ACP region in protected areas and surrounding communities through better use and monitoring of information and capacity development on management and governance.

National forest roads allow access to public lands providing connections to natural and cultural heritage. Planning processes that address potential road closures or conversions can be highly contentious. Public participatory GIS (PPGIS) has been used as a tool to gather information for environmental planning and decision-making. Our PPGIS approach in a national forest in Washington (USA) incorporated workshops and online engagement with 1,810 participants to gather public input for sustainable roads planning. We identified the most important forest destinations and developed an analytical framework for assessing forest roads based on the density and diversity of use. In this paper, we summarize our PPGIS process and identify challenges faced in the application of socio-spatial data. A comparative analysis of road planning in other forests further highlights challenges in incorporating public use data. While the PPGIS process was valued for relationship-building, it is less evident how directly the socio-spatial data informed outcomes.

Over the past thirty years, disaster scholars have highlighted that communities with stronger social infrastructure - including social ties that enable trust, mutual aid, and collective action - tend to respond to and recover better from crisis. However, comprehensive measurements of social capital across communities have been rare. This study adapts Kyne and Aldrich’s (2019) county-level social capital index to the census-tract level, generating social capital indices from 2011 to 2018 at the census-tract, zipcode, and county subdivision levels. To demonstrate their usefulness to disaster planners, public health experts, and local officials, we paired these with the CDC’s Social Vulnerability Index to predict the incidence of COVID-19 in case studies in Massachusetts, Wisconsin, Illinois, and New York City. We found that social capital and social vulnerability predicted as much as 95% of the variation in COVID outbreaks, highlighting their power as diagnostic and predictive tools for combating the spread of COVID.

The Solid waste management districts layer is part of a dataset that contains administrative boundaries for Vermont's Agency of Natural Resources. This dataset contains administrative boundaries for Vermont's Solid Waste Management Entities (SWME) - the local authorities which write and implement Solid Waste Implementation Plans (SWIP). Using [BoundaryTown_TWNBNDS Vermont town boundaries (extracted from BNDHASH) from VCGI], each town is categorized into their respective SWME.

[Metadata] Description: Detailed Government Landownership in the State of Hawaii as of 2022: County, Federal, State, and State DHHL Lands (by TMK parcel)