Geographic Information System (GIS) Software Market Outlook

According to our latest research, the global Geographic Information System (GIS) Software market size reached USD 11.6 billion in 2024, reflecting a robust demand for spatial data analytics and location-based services across various industries. The market is experiencing a significant growth trajectory, driven by a CAGR of 12.4% from 2025 to 2033. By the end of 2033, the GIS Software market is forecasted to attain a value of USD 33.5 billion. This remarkable expansion is primarily attributed to the integration of advanced technologies such as artificial intelligence, IoT, and cloud computing, which are enhancing the capabilities and accessibility of GIS platforms.

One of the major growth factors propelling the GIS Software market is the increasing adoption of location-based services across urban planning, transportation, and utilities management. Governments and private organizations are leveraging GIS solutions to optimize infrastructure development, streamline resource allocation, and improve emergency response times. The proliferation of smart city initiatives worldwide has further fueled the demand for GIS tools, as urban planners and municipal authorities require accurate spatial data for effective decision-making. Additionally, the evolution of 3D GIS and real-time mapping technologies is enabling more sophisticated modeling and simulation, expanding the scope of GIS applications beyond traditional mapping to include predictive analytics and scenario planning.

Another significant driver for the GIS Software market is the rapid digitization of industries such as agriculture, mining, and oil & gas. Precision agriculture, for example, relies heavily on GIS platforms to monitor crop health, manage irrigation, and enhance yield forecasting. Similarly, the mining sector uses GIS for exploration, environmental impact assessment, and asset management. The integration of remote sensing data with GIS software is providing stakeholders with actionable insights, leading to higher efficiency and reduced operational risks. Furthermore, the growing emphasis on environmental sustainability and regulatory compliance is prompting organizations to invest in advanced GIS solutions for monitoring land use, tracking deforestation, and managing natural resources.

The expanding use of cloud-based GIS solutions is also a key factor driving market growth. Cloud deployment offers scalability, cost-effectiveness, and remote accessibility, making GIS tools more accessible to small and medium enterprises as well as large organizations. The cloud model supports real-time data sharing and collaboration, which is particularly valuable for disaster management and emergency response teams. As organizations increasingly prioritize digital transformation, the demand for cloud-native GIS platforms is expected to rise, supported by advancements in data security, interoperability, and integration with other enterprise systems.

Regionally, North America remains the largest market for GIS Software, accounting for a significant share of global revenues. This leadership is underpinned by substantial investments in smart infrastructure, advanced transportation systems, and environmental monitoring programs. The Asia Pacific region, however, is witnessing the fastest growth, driven by rapid urbanization, government-led digital initiatives, and the expansion of the utility and agriculture sectors. Europe continues to demonstrate steady adoption, particularly in environmental management and urban planning, while Latin America and the Middle East & Africa are emerging as promising markets due to increasing investments in infrastructure and resource management.

Component Analysis

The GIS Software market is segmented by component into Software and Services, each playing a pivotal role in the overall value chain. The software segment includes comprehensive GIS platforms, spatial analytics tools, and specialized applications

Dataset for the textbook Computational Methods and GIS Applications in Social Science (3rd Edition), 2023 Fahui Wang, Lingbo Liu Main Book Citation: Wang, F., & Liu, L. (2023). Computational Methods and GIS Applications in Social Science (3rd ed.). CRC Press. https://doi.org/10.1201/9781003292302 KNIME Lab Manual Citation: Liu, L., & Wang, F. (2023). Computational Methods and GIS Applications in Social Science - Lab Manual. CRC Press. https://doi.org/10.1201/9781003304357 KNIME Hub Dataset and Workflow for Computational Methods and GIS Applications in Social Science-Lab Manual Update Log If Python package not found in Package Management, use ArcGIS Pro's Python Command Prompt to install them, e.g., conda install -c conda-forge python-igraph leidenalg NetworkCommDetPro in CMGIS-V3-Tools was updated on July 10,2024 Add spatial adjacency table into Florida on June 29,2024 The dataset and tool for ABM Crime Simulation were updated on August 3, 2023, The toolkits in CMGIS-V3-Tools was updated on August 3rd,2023. Report Issues on GitHub https://github.com/UrbanGISer/Computational-Methods-and-GIS-Applications-in-Social-Science Following the website of Fahui Wang : http://faculty.lsu.edu/fahui Contents Chapter 1. Getting Started with ArcGIS: Data Management and Basic Spatial Analysis Tools Case Study 1: Mapping and Analyzing Population Density Pattern in Baton Rouge, Louisiana Chapter 2. Measuring Distance and Travel Time and Analyzing Distance Decay Behavior Case Study 2A: Estimating Drive Time and Transit Time in Baton Rouge, Louisiana Case Study 2B: Analyzing Distance Decay Behavior for Hospitalization in Florida Chapter 3. Spatial Smoothing and Spatial Interpolation Case Study 3A: Mapping Place Names in Guangxi, China Case Study 3B: Area-Based Interpolations of Population in Baton Rouge, Louisiana Case Study 3C: Detecting Spatiotemporal Crime Hotspots in Baton Rouge, Louisiana Chapter 4. Delineating Functional Regions and Applications in Health Geography Case Study 4A: Defining Service Areas of Acute Hospitals in Baton Rouge, Louisiana Case Study 4B: Automated Delineation of Hospital Service Areas in Florida Chapter 5. GIS-Based Measures of Spatial Accessibility and Application in Examining Healthcare Disparity Case Study 5: Measuring Accessibility of Primary Care Physicians in Baton Rouge Chapter 6. Function Fittings by Regressions and Application in Analyzing Urban Density Patterns Case Study 6: Analyzing Population Density Patterns in Chicago Urban Area >Chapter 7. Principal Components, Factor and Cluster Analyses and Application in Social Area Analysis Case Study 7: Social Area Analysis in Beijing Chapter 8. Spatial Statistics and Applications in Cultural and Crime Geography Case Study 8A: Spatial Distribution and Clusters of Place Names in Yunnan, China Case Study 8B: Detecting Colocation Between Crime Incidents and Facilities Case Study 8C: Spatial Cluster and Regression Analyses of Homicide Patterns in Chicago Chapter 9. Regionalization Methods and Application in Analysis of Cancer Data Case Study 9: Constructing Geographical Areas for Mapping Cancer Rates in Louisiana Chapter 10. System of Linear Equations and Application of Garin-Lowry in Simulating Urban Population and Employment Patterns Case Study 10: Simulating Population and Service Employment Distributions in a Hypothetical City Chapter 11. Linear and Quadratic Programming and Applications in Examining Wasteful Commuting and Allocating Healthcare Providers Case Study 11A: Measuring Wasteful Commuting in Columbus, Ohio Case Study 11B: Location-Allocation Analysis of Hospitals in Rural China Chapter 12. Monte Carlo Method and Applications in Urban Population and Traffic Simulations Case Study 12A. Examining Zonal Effect on Urban Population Density Functions in Chicago by Monte Carlo Simulation Case Study 12B: Monte Carlo-Based Traffic Simulation in Baton Rouge, Louisiana Chapter 13. Agent-Based Model and Application in Crime Simulation Case Study 13: Agent-Based Crime Simulation in Baton Rouge, Louisiana Chapter 14. Spatiotemporal Big Data Analytics and Application in Urban Studies Case Study 14A: Exploring Taxi Trajectory in ArcGIS Case Study 14B: Identifying High Traffic Corridors and Destinations in Shanghai Dataset File Structure 1 BatonRouge Census.gdb BR.gdb 2A BatonRouge BR_Road.gdb Hosp_Address.csv TransitNetworkTemplate.xml BR_GTFS Google API Pro.tbx 2B Florida FL_HSA.gdb R_ArcGIS_Tools.tbx (RegressionR) 3A China_GX GX.gdb 3B BatonRouge BR.gdb 3C BatonRouge BRcrime R_ArcGIS_Tools.tbx (STKDE) 4A BatonRouge BRRoad.gdb 4B Florida FL_HSA.gdb HSA Delineation Pro.tbx Huff Model Pro.tbx FLplgnAdjAppend.csv 5 BRMSA BRMSA.gdb Accessibility Pro.tbx 6 Chicago ChiUrArea.gdb R_ArcGIS_Tools.tbx (RegressionR) 7 Beijing BJSA.gdb bjattr.csv R_ArcGIS_Tools.tbx (PCAandFA, BasicClustering) 8A Yunnan YN.gdb R_ArcGIS_Tools.tbx (SaTScanR) 8B Jiangsu JS.gdb 8C Chicago ChiCity.gdb cityattr.csv ...

The Geographic Information System (GIS) Tools market is experiencing robust growth, projected to reach $2890.3 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 5.3% from 2025 to 2033. This expansion is driven by several key factors. Increasing urbanization and the need for efficient city planning and management are fueling demand for sophisticated GIS solutions. Furthermore, the rising adoption of cloud-based GIS platforms offers scalability, accessibility, and cost-effectiveness, attracting both SMEs and large enterprises. The integration of GIS with other technologies, such as IoT and AI, is enhancing data analysis capabilities and creating new applications in areas like precision agriculture, environmental monitoring, and disaster response. However, challenges remain, including the high initial investment costs associated with implementing GIS systems and the need for skilled professionals to manage and interpret complex spatial data. The market is segmented by deployment type (cloud-based and on-premises) and user type (SMEs and large enterprises), with the cloud-based segment demonstrating faster growth due to its inherent flexibility and affordability. North America currently holds a significant market share, driven by the presence of major technology companies and a high rate of GIS adoption across various sectors. However, developing regions in Asia-Pacific and the Middle East & Africa present significant growth opportunities, fueled by increasing infrastructure development and government initiatives promoting digital transformation. The competitive landscape is highly dynamic, with both established players like IBM TRIRIGA and Infor EAM, and emerging companies such as UpKeep and Samsara competing for market share. The success of these companies hinges on their ability to offer innovative solutions tailored to specific industry needs, coupled with robust customer support and seamless integration with existing IT infrastructure. Future market growth will depend on continued technological advancements, the expanding applications of GIS technology across diverse sectors, and effective strategies to overcome the challenges related to data security, interoperability, and skills development. The forecast period of 2025-2033 anticipates a continued upward trajectory, with ongoing expansion in both established and emerging markets globally.

The Ecological Data Synthesis Tools is a spatially-explicit visualization tool that combines ecological resource layers into a single layer representing relative environmental sensitivity of dredging impacts to provide decision support. The tool incorporates multiple geospatial ecological data layers such as oyster reef habitat and submerged aquatic vegetation, and utilizes existing studies and data to scale the relative risk of each ecological resource to dredging and/or placement activities. The integrated impacts are then weighted across all layers providing an indication of the relative risk of negative project impacts on the environment. The tool was developed as a planning tool to assist Dredged Material Management Plans (DMMP) and preliminary Assessments (PA) project development teams to prioritize efforts and resources in areas of high environmental concern.

The global Geographic Information System (GIS) Tools market is experiencing robust growth, projected to reach $2979.7 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 5.5% from 2025 to 2033. This expansion is driven by several key factors. Firstly, the increasing adoption of cloud-based GIS solutions offers scalability, cost-effectiveness, and improved accessibility for businesses of all sizes, particularly SMEs seeking efficient resource management. Secondly, the rising demand for precise location-based data analysis across diverse sectors like urban planning, environmental monitoring, and precision agriculture fuels market growth. Furthermore, technological advancements, including the integration of AI and machine learning capabilities within GIS platforms, enhance analytical power and facilitate more sophisticated spatial decision-making. Finally, government initiatives promoting smart cities and digital transformation worldwide further stimulate market expansion. The market is segmented by application (SMEs, Large Enterprises) and type (Cloud-Based, On-Premises), reflecting the diverse needs of various user groups. Large enterprises, with their extensive spatial data requirements and resources, are expected to drive significant market share, while cloud-based solutions are poised for faster growth due to their flexible deployment models. The regional landscape reveals a dynamic distribution of market share. North America, particularly the United States, holds a prominent position, driven by high technological adoption rates and the presence of major GIS solution providers. Europe follows closely, fueled by increasing government investments in infrastructure development and digitalization initiatives. The Asia-Pacific region is expected to experience significant growth, propelled by rapid urbanization and the expanding adoption of GIS technologies in developing economies like China and India. While the on-premises segment currently dominates, the cloud-based segment is anticipated to exhibit higher growth in the forecast period, driven by its inherent advantages in scalability, accessibility, and cost-efficiency. Competitive dynamics are shaped by both established players like IBM TRIRIGA and emerging technology companies, leading to innovation and diversification of GIS tool offerings. The market's future hinges on continuous technological innovation, the growing adoption of location intelligence across sectors, and the expansion of robust infrastructure supporting data accessibility and management.

The lake mapping service market is experiencing robust growth, driven by increasing demand for effective resource management, environmental monitoring, and ecological studies. The market's expansion is fueled by several key factors. Firstly, heightened awareness of water quality issues and the need for proactive lake management are pushing governments and private entities to invest in comprehensive lake mapping. This detailed mapping provides crucial data for informed decision-making regarding water resource allocation, pollution control, and habitat preservation. Secondly, advancements in remote sensing technologies, such as aerial photography and satellite imagery, have significantly improved the accuracy and efficiency of lake mapping, making it more accessible and cost-effective. These technologies allow for rapid data acquisition over large areas, providing a comprehensive overview of lake morphology, water quality parameters, and surrounding ecosystems. Finally, the growing adoption of GIS (Geographic Information Systems) and other data analysis tools enables the effective interpretation and utilization of lake mapping data for various applications, including predictive modeling and impact assessment. We estimate the market size to be approximately $500 million in 2025, projecting a compound annual growth rate (CAGR) of 8% between 2025 and 2033. While the market presents significant opportunities, certain restraints remain. High initial investment costs for specialized equipment and software can pose a barrier to entry for smaller companies. Additionally, data processing and analysis can be complex and require specialized expertise. However, ongoing technological advancements and increased availability of affordable solutions are gradually mitigating these constraints. The market is segmented by application (environmental monitoring, resource management, ecological studies, and others) and type of imagery used (aerial photography, satellite imagery, and others). North America and Europe currently hold the largest market shares, but the Asia-Pacific region is expected to witness significant growth in the coming years due to increasing urbanization and industrialization, leading to greater demand for effective water resource management and environmental protection. The competitive landscape is characterized by a mix of large international firms and specialized regional companies, creating a dynamic and evolving market environment.

The establishment of a BES Multi-User Geodatabase (BES-MUG) allows for the storage, management, and distribution of geospatial data associated with the Baltimore Ecosystem Study. At present, BES data is distributed over the internet via the BES website. While having geospatial data available for download is a vast improvement over having the data housed at individual research institutions, it still suffers from some limitations. BES-MUG overcomes these limitations; improving the quality of the geospatial data available to BES researches, thereby leading to more informed decision-making. BES-MUG builds on Environmental Systems Research Institute's (ESRI) ArcGIS and ArcSDE technology. ESRI was selected because its geospatial software offers robust capabilities. ArcGIS is implemented agency-wide within the USDA and is the predominant geospatial software package used by collaborating institutions. Commercially available enterprise database packages (DB2, Oracle, SQL) provide an efficient means to store, manage, and share large datasets. However, standard database capabilities are limited with respect to geographic datasets because they lack the ability to deal with complex spatial relationships. By using ESRI's ArcSDE (Spatial Database Engine) in conjunction with database software, geospatial data can be handled much more effectively through the implementation of the Geodatabase model. Through ArcSDE and the Geodatabase model the database's capabilities are expanded, allowing for multiuser editing, intelligent feature types, and the establishment of rules and relationships. ArcSDE also allows users to connect to the database using ArcGIS software without being burdened by the intricacies of the database itself. For an example of how BES-MUG will help improve the quality and timeless of BES geospatial data consider a census block group layer that is in need of updating. Rather than the researcher downloading the dataset, editing it, and resubmitting to through ORS, access rules will allow the authorized user to edit the dataset over the network. Established rules will ensure that the attribute and topological integrity is maintained, so that key fields are not left blank and that the block group boundaries stay within tract boundaries. Metadata will automatically be updated showing who edited the dataset and when they did in the event any questions arise. Currently, a functioning prototype Multi-User Database has been developed for BES at the University of Vermont Spatial Analysis Lab, using Arc SDE and IBM's DB2 Enterprise Database as a back end architecture. This database, which is currently only accessible to those on the UVM campus network, will shortly be migrated to a Linux server where it will be accessible for database connections over the Internet. Passwords can then be handed out to all interested researchers on the project, who will be able to make a database connection through the Geographic Information Systems software interface on their desktop computer. This database will include a very large number of thematic layers. Those layers are currently divided into biophysical, socio-economic and imagery categories. Biophysical includes data on topography, soils, forest cover, habitat areas, hydrology and toxics. Socio-economics includes political and administrative boundaries, transportation and infrastructure networks, property data, census data, household survey data, parks, protected areas, land use/land cover, zoning, public health and historic land use change. Imagery includes a variety of aerial and satellite imagery. See the readme: http://96.56.36.108/geodatabase_SAL/readme.txt See the file listing: http://96.56.36.108/geodatabase_SAL/diroutput.txt

The Geographic Information System (GIS) Services market is experiencing robust growth, driven by increasing demand across diverse sectors. While precise figures for market size and CAGR aren't provided, we can infer substantial expansion based on the identified market drivers and trends. The burgeoning adoption of GIS technology in environmental management, infrastructure development, and precision agriculture is fueling market expansion. The integration of GIS with advanced analytics, such as AI and machine learning, is further enhancing its capabilities and broadening its applications. This leads to increased efficiency, improved decision-making, and cost optimization across various industries. The market's segmentation, encompassing diverse application areas like environmental agencies, utility companies, and telecommunications, highlights its widespread utility. Furthermore, the geographical distribution across North America, Europe, Asia Pacific, and other regions underscores a global market with significant growth potential in both developed and emerging economies. Given the rapid technological advancements and increasing data availability, the GIS services market is projected to maintain a strong growth trajectory in the coming years, surpassing previous estimates for market size. We estimate the market size in 2025 to be approximately $15 Billion, with a conservative CAGR of 8% projected through 2033. This growth will be fueled by continued technological advancements and increasing reliance on data-driven decision making in various sectors. The competitive landscape is marked by a mix of established players and emerging technology providers. Companies like Intellias, EnviroScience, and Infosys BPM are leading the charge, leveraging their expertise in GIS technology and data analytics. The presence of numerous regional players also reflects the market's geographically diverse growth. The market's future growth will likely hinge on factors such as the development of more sophisticated GIS software and analytics tools, the increased adoption of cloud-based GIS solutions, and the continuous integration of GIS with other technologies like IoT and blockchain. Addressing potential restraints, such as high initial investment costs for some organizations, will be crucial for sustained market growth.

This study focuses on the use of citizen science and GIS tools for collecting and analyzing data on Rose Swanson Mountain in British Columbia, Canada. While several organizations collect data on wildlife habitats, trail mapping, and fire documentation on the mountain, there are few studies conducted on the area and citizen science is not being addressed. The study aims to aggregate various data sources and involve citizens in the data collection process using ArcGIS Dashboard and ArcGIS Survey 123. These GIS tools allow for the integration and analysis of different kinds of data, as well as the creation of interactive maps and surveys that can facilitate citizen engagement and data collection. The data used in the dashboard was sourced from BC Data Catalogue, Explore the Map, and iNaturalist. Results show effective citizen participation, with 1073 wildlife observations and 3043 plant observations. The dashboard provides a user-friendly interface for citizens to tailor their map extent and layers, access surveys, and obtain information on each attribute included in the pop-up by clicking. Analysis on classification of fuel types, ecological communities, endangered wildlife species presence and critical habitat, and scope of human activities can be conducted based on the distribution of data. The dashboard can provide direction for researchers to develop research or contribute to other projects in progress, as well as advocate for natural resource managers to use citizen science data. The study demonstrates the potential for GIS and citizen science to contribute to meaningful discoveries and advancements in areas.

Mapping the spatial dynamics of perceived social value across the landscape can help develop a restoration economy that can support ecosystem services in the region. Many different methods have been used to map perceived social value. We used the Social Values for Ecosystem Services (SolVES) GIS tool, version 3.0, which uses social survey responses and various environmental variables to map social value. In the social survey distributed by the Borderlands Restoration Network (BRN) in May 2017, the respondents were asked to consider twelve different social values and map locations on a map where they perceived those social values to be. Additionally, they were asked to weigh each social value using a total of 100 points, and could assign each social value anywhere from 0 to 100 points. A combination of the points, weighted social values, and environmental variables were used within the SolVES tool. The SolVES tool then produced raster outputs that visualize the value index range for each social value assessed using the SolVES tool. This data release consists of two raster products. The first raster (SolVES multi-band raster) product consists of twelve bands, each band representing one of the twelve social values. The twelve total bands in this stacked raster are listed below, with the descriptions provided in the survey. The second raster product is a single band raster (SolVES summed raster) that shows the summed social value index for each pixel for the twelve social value rasters. Both raster products are clipped to the Sonoita Creek Watershed and represent the visual results of the SolVES tool. 1) aesthetic - ... I enjoy the aesthetics - scenery, sights, sounds, smells, etc. - within it, 2) biological diversity - ... it is home to such biological diversity, 3) cultural - ... it is a place of cultural value allowing me to pass down the knowledge, traditions, wisdom and way of life of myself and my ancestors, 4) economic - ... it is a place of economic value where I can earn a living, 5) future generations - ... I want future generations to be able to know, see and experience the watershed, 6) historical - ... it has historic value, with important places and things of natural and human history, 7) intrinsic - ... it has intrinsic value, irrespective of any instrumental value, 8) learning - ... because we can learn a great deal within it, 9) life sustaining - ... because it has life sustaining value through protecting and renewing clean air, soil, water etc., 10) recreational - ... because it provides a place for my favorite outdoor recreation activities, 11) spiritual - ... because it has spiritual value to me in the form of sacred, religious, or spiritual or because I feel reverence and respect for nature there, and 12) therapeutic - ... because it has therapeutic value, making me feel better physically and/or mentally. This data is used in the associated publication in the Air, Soil and Water Research. Petrakis, Roy E., Norman, Laura M., Lysaght, Oliver, Sherrouse, Benson C., Semmens, Darius, Bagstad, Kenneth J., Pritzlaff, Richard. 2020. “Mapping Perceived Social Values to Support a Respondent-Defined Restoration Economy: Case Study in Southeastern Arizona, USA” Air, Soil and Water Research. doi.org/10.1177/1178622120913318. The abstract for the associated publication follows: "Investment in conservation and ecological restoration depends on various socioeconomic factors and the social license for these activities. Our study demonstrates a method for targeting management of ecosystem services based on social values, identified by respondents through a collection of social survey data. We applied the Social Values for Ecosystem Services (SolVES) geographic information systems (GIS)- based tool in the Sonoita Creek watershed, Arizona, to map social values across the watershed. The survey focused on how respondents engage with the landscape, including through their ranking of 12 social values (eg, recreational, economic, or aesthetic value) and their placement of points on a map to identify their associations with the landscape. Additional information was elicited regarding how respondents engaged with water and various land uses, as well as their familiarity with restoration terminology. Results show how respondents perceive benefits from the natural environment. Specifically, maps of social values on the landscape show high social value along streamlines. Life-sustaining services, biological diversity, and aesthetics were the respondents’ highest rated social values. Land surrounding National Forest and private lands had lower values than conservation-based and state-owned areas, which we associate with landscape features. Results can inform watershed management by allowing managers to consider social values when prioritizing restoration or conservation investments."

The 4D GIS software market is experiencing robust growth, driven by increasing demand for real-time location intelligence and spatial data analysis across diverse sectors. The market, estimated at $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $8 billion by 2033. This expansion is fueled by several key factors. The integration of advanced technologies like IoT (Internet of Things), AI (Artificial Intelligence), and cloud computing enhances the capabilities of 4D GIS, enabling more sophisticated data visualization and predictive analytics. Furthermore, the rising adoption of 4D GIS in crucial applications, such as urban planning, infrastructure management, environmental monitoring, and disaster response, is significantly contributing to market growth. Leading players like ESRI, Hexagon, and Trimble are driving innovation through continuous product development and strategic partnerships, further consolidating the market's upward trajectory. However, the market also faces challenges. High initial investment costs for software and hardware can be a barrier to entry for smaller organizations. Moreover, the complexity of 4D GIS technology necessitates specialized expertise, leading to a shortage of skilled professionals. Data security and privacy concerns also pose significant restraints, necessitating robust security measures and adherence to data governance regulations. Despite these challenges, the significant benefits offered by 4D GIS in terms of improved decision-making, efficient resource management, and enhanced operational efficiency will continue to fuel market expansion throughout the forecast period. The market segmentation will likely see a strong emphasis on cloud-based solutions due to their scalability and accessibility, along with continued development and integration with other geospatial technologies.

The global GIS Software in Agriculture market is anticipated to grow significantly over the forecast period, driven by the increasing demand for precision agriculture practices and the need for efficient and sustainable farming techniques. The market is expected to witness notable growth due to the rising adoption of GIS technology in various agricultural applications, such as crop monitoring, soil analysis, and irrigation management. The increasing focus on maximizing crop yields, reducing environmental impact, and optimizing resource utilization is further propelling the demand for GIS solutions in the agriculture sector. The key players in the GIS Software in Agriculture market include Autodesk, Inc., Computer Aided Development Corporation Ltd. (Cadcorp), Earth Observing System, Environmental System Research Institute (ESRI), and Geosoft Inc., among others. These companies are investing in research and development to offer advanced GIS software solutions that meet the evolving needs of the agricultural industry. The market is expected to experience significant growth in emerging regions, particularly in Asia-Pacific and Latin America, where agriculture is a key economic sector. Governments and agricultural organizations in these regions are promoting the adoption of GIS technology to enhance agricultural productivity and sustainability.

Contains full Maps and GIS data from BOEM site. About: OUR MISSION To manage development of U.S. Outer Continental Shelf (OCS) energy, mineral, and geological resources in an environmentally and economically responsible way. Maps and GIS Data MarineCadastre.gov — This online interactive map viewer has integrated submerged lands information consisting of legal, property ownership (cadastre), physical, biological, ocean uses, and cultural information from multiple agencies in a common reference framework. Users can create, view, and print maps from this free, easy to use viewer, or can directly link these GIS data layers (web map services) into their own GIS applications. Most data are downloadable directly from the data registry. Additional map mash-ups are available to use or for simple viewing. Other tools such as OceanReports and the Environmental Studies Program Information System - ESPIS can also be found from the MarineCadastre.gov site. GIS Data map GIS Data/Shapefiles â€

Reinstating connectivity is seen as one way to ameliorate biodiversity loss resulting from agricultural activities. Natural resource management agencies require scientific knowledge to better inform revegetation programmes for increasing connectivity. Concepts of metapopulation theory and landscape ecology have been combined to produce spatially explicit outputs based on fragmentation-sensitive and poor-dispersing woodland species and which are designed to improve the occurrence and persistence of biodiversity. Selected outputs have been incorporated into the operations of a NRM revegetation programme. The results from the research provide alternative management options relevant to variegated and fragmented landscapes. Spatial data, spreadsheets, R scripts

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The GIS market share in EMEA is expected to increase to USD 2.01 billion from 2021 to 2026, and the market’s growth momentum will accelerate at a CAGR of 8.23%.

This EMEA GIS market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers GIS market in EMEA segmentation by:

Component - Software, data, and services
End-user - Government, utilities, military, telecommunication, and others

What will the GIS Market Size in EMEA be During the Forecast Period?

Download the Free Report Sample to Unlock the GIS Market Size in EMEA for the Forecast Period and Other Important Statistics

The EMEA GIS market report also offers information on several market vendors, including arxiT SA, Autodesk Inc., Bentley Systems Inc., Cimtex International, CNIM SA, Computer Aided Development Corp. Ltd., Environmental Systems Research Institute Inc., Fugro NV, General Electric Co., HERE Global BV, Hexagon AB, Hi-Target, Mapbox Inc., Maxar Technologies Inc., Pitney Bowes Inc., PSI Services LLC, Rolta India Ltd., SNC Lavalin Group Inc., SuperMap Software Co. Ltd., Takor Group Ltd., and Trimble Inc. among others.

GIS Market in EMEA: Key Drivers, Trends, and Challenges

The integration of BIM and GIS is notably driving the GIS market growth in EMEA, although factors such as data viability and risk of intrusion may impede market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the GIS industry in EMEA. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

Key GIS Market Driver in EMEA

One of the key factors driving the geographic information system (GIS) market growth in EMEA is the integration of BIM and GIS. A GIS adds value to BIM by visualizing and analyzing the data with regard to the buildings and surrounding features, such as environmental and demographic information. BIM data and workflows include information regarding sensors and the placement of devices in IoT-connected networks. For instance, Dubai's Civil Defense Department has integrated GIS data with its automatic fire surveillance system. This information is provided in a matter of seconds on the building monitoring systems of the Civil Defense Department. Furthermore, location-based services offered by GIS providers help generate huge volumes of data from stationary and moving devices and enable users to perform real-time spatial analytics and derive useful geographic insights from it. Owing to the advantages associated with the integration of BIM with GIS solutions, the demand for GIS solutions is expected to increase during the forecast period.

Key GIS Market Challenge in EMEA

One of the key challenges to the is the GIS market growth in EMEA is the data viability and risk of intrusion. Hackers can hack into these systems with malicious intentions and manipulate the data, which could have destructive or negative repercussions. Such hacking of data could cause nationwide chaos. For instance, if a hacker manipulated the traffic management database, massive traffic jams and accidents could result. If a hacker obtained access to the database of a national disaster management organization and manipulated the data to create a false disaster situation, it could lead to a panic situation. Therefore, the security infrastructure accompanying the implementation of GIS software solutions must be robust. Such security threats may impede market growth in the coming years.

Key GIS Market Trend in EMEA

Integration of augmented reality (AR) and GIS is one of the key geographic information system market trends in EMEA that is expected to impact the industry positively in the forecast period. AR apps could provide GIS content to professional end-users and aid them in making decisions on-site, using advanced and reliable information available on their mobile devices and smartphones. For instance, when the user simply points the camera of the phone at the ground, the application will be able to show the user the location and orientation of water pipes and electric cables that are concealed underground. Organizations such as the Open Geospatial Consortium (OGC) and the World Wide Web Consortium (W3C) are seeking investments and are open to sponsors for an upcoming AR pilot project, which seeks to advance the standards of AR technology at both respective organizations. Such factors will further support the market growth in the coming years.

This GIS market in EMEA analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth st

Resilience—the keen ability of people to adapt to changing physical environments—is essential in today's world of unexpected changes.Resilient Communities across Geographies edited by Sheila Lakshmi Steinberg and Steven J. Steinberg focuses on how applying GIS to environmental and socio-economic challenges for analysis and planning helps make communities more resilient.A hybrid of theory and action, Resilient Communities across Geographies uses an interdisciplinary approach to explore resilience studied by experts in geography, social sciences, planning, landscape architecture, urban and rural sociology, economics, migration, community development, meteorology, oceanography, and other fields. Geographies covered include urban and rural, coastal and mountainous, indigenous areas in the United State and Australia, and more. Geographical Information Systems (GIS) is the unifying tool that helped researchers understand resilience.This book shows how GIS:integrates quantitative, qualitative, and spatial data to produce a holistic view of a need for resilience.serves as a valuable tool to capture and integrate knowledge of local people, places, and resources.allows us to visualize data clearly as portrayed in a real-time map or spatial dashboard, thus leading to opportunities to make decisions.lets us see patterns and communicate what the data means.helps us see what resources they have and where they are located.provides a big vision for action by layering valuable pieces of information together to see where gaps are located, where action is needed, or how policies can be instituted to manage and improve community resilience.Resilience is not only an ideal; it is something that people and communities can actively work to achieve through intelligent planning and assessment. The stories shared by the contributing authors in Resilient Communities across Geographies help readers to develop an expanded sense of the power of GIS to address the difficult problems we collectively face in an ever-changing world.AUDIENCEProfessional and scholarly. Higher education.AUTHOR BIOSSheila Lakshmi Steinberg is a professor of Social and Environmental Sciences at Brandman University and Chair of the GIS Committee, where she leads the university to incorporate GIS across the curriculum. Her research interests include interdisciplinary research methods, culture, community, environmental sociology, geospatial approaches, ethnicity, health policy, and teaching pedagogy.Steven J. Steinberg is the Geographic Information Officer for the County of Los Angeles, California. Throughout his career, he has taught GIS as a professor of geospatial sciences for the California State University and, since 2011, has worked as a geospatial scientist in the public sector, applying GIS across a wide range of both environmental and human contexts.Pub Date: Print: 11/24/2020 Digital: 10/27/2020ISBN: Print: 9781589484818 Digital: 9781589484825Price: Print: $49.99 USD Digital: $49.99 USDPages: 350 Trim: 7.5 x 9.25 in.Table of ContentsPrefaceChapter 1. Conceptualizing spatial resilience Dr. Sheila Steinberg and Dr Steven J. SteinbergChapter 2. Resilience in coastal regions: the case of Georgia, USAChapter 3. Building resilient regions: Spatial analysis as a tool for ecosystem-based climate adaptationChapter 4. The mouth of the Columbia River: USACE, GIS and resilience in a dynamic coastal systemChapter 5. Urban resilience: Neighborhood complexity and the importance of social connectivityChapter 6. Mapping Indigenous LAChapter 7. Indigenous Martu knowledge: Mapping place through song and storyChapter 8. Developing resiliency through place-based inquiry in CanadaChapter 9. Engaging Youth in Spatial Modes of Thought toward Social and Environmental ResilienceChapter 10. Health, Place, and Space: Public Participation GIS for Rural Community PowerChapter 11. Best Practices for Using Local KnowledgeContributorsIndex

The site suitability criteria included in the techno-economic land use screens are listed below. As this list is an update to previous cycles, tribal lands, prime farmland, and flood zones are not included as they are not technically infeasible for development. The techno-economic site suitability exclusion thresholds are presented in table 1. Distances indicate the minimum distance from each feature for commercial scale wind developmentAttributes: Steeply sloped areas: change in vertical elevation compared to horizontal distancePopulation density: the number of people living in a 1 km2 area Urban areas: defined by the U.S. Census. Water bodies: defined by the U.S. National Atlas Water Feature Areas, available from Argonne National Lab Energy Zone Mapping Tool Railways: a comprehensive database of North America's railway system from the Federal Railroad Administration (FRA), available from Argonne National Lab Energy Zone Mapping Tool Major highways: available from ESRI Living Atlas Airports: The Airports dataset including other aviation facilities as of July 13, 2018 is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics's (BTS's) National Transportation Atlas Database (NTAD). The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product. Available from Argonne National Lab Energy Zone Mapping Tool Active mines: Active Mines and Mineral Processing Plants in the United States in 2003Military Lands: Land owned by the federal government that is part of a US military base, camp, post, station, yard, center, or installation. Table 1 Wind Steeply sloped areas >10o Population density >100/km2 Capacity factor <20% Urban areas <1000 m Water bodies <250 m Railways <250 m Major highways <125 m Airports <5000 m Active mines <1000 m Military Lands <3000m For more information about the processes and sources used to develop the screening criteria see sources 1-7 in the footnotes. Data updates occur as needed, corresponding to typical 3-year CPUC IRP planning cyclesFootnotes:[1] Lopez, A. et. al. “U.S. Renewable Energy Technical Potentials: A GIS-Based Analysis,” 2012. https://www.nrel.gov/docs/fy12osti/51946.pdf[2] https://greeningthegrid.org/Renewable-Energy-Zones-Toolkit/topics/social-environmental-and-other-impacts#ReadingListAndCaseStudies[3] Multi-Criteria Analysis for Renewable Energy (MapRE), University of California Santa Barbara. https://mapre.es.ucsb.edu/[4] Larson, E. et. al. “Net-Zero America: Potential Pathways, Infrastructure, and Impacts, Interim Report.” Princeton University, 2020. https://environmenthalfcentury.princeton.edu/sites/g/files/toruqf331/files/2020-12/Princeton_NZA_Interim_Report_15_Dec_2020_FINAL.pdf.[5] Wu, G. et. al. “Low-Impact Land Use Pathways to Deep Decarbonization of Electricity.” Environmental Research Letters 15, no. 7 (July 10, 2020). https://doi.org/10.1088/1748-9326/ab87d1.[6] RETI Coordinating Committee, RETI Stakeholder Steering Committee. “Renewable Energy Transmission Initiative Phase 1B Final Report.” California Energy Commission, January 2009.[7] Pletka, Ryan, and Joshua Finn. “Western Renewable Energy Zones, Phase 1: QRA Identification Technical Report.” Black & Veatch and National Renewable Energy Laboratory, 2009. https://www.nrel.gov/docs/fy10osti/46877.pdf.[8]https://www.census.gov/cgi-bin/geo/shapefiles/index.php?year=2019&layergroup=Urban+Areas[9]https://ezmt.anl.gov/[10]https://www.arcgis.com/home/item.html?id=fc870766a3994111bce4a083413988e4[11]https://mrdata.usgs.gov/mineplant/Credits Title: Techno-economic screening criteria for utility-scale wind energy installations for Integrated Resource Planning Purpose for creation: These site suitability criteria are for use in electric system planning, capacity expansion modeling, and integrated resource planning. Keywords: wind energy, resource potential, techno-economic, IRP Extent: western states of the contiguous U.S. Use Limitations The geospatial data created by the use of these techno-economic screens inform high-level estimates of technical renewable resource potential for electric system planning and should not be used, on their own, to guide siting of generation projects nor assess project-level impacts.Confidentiality: Public ContactEmily Leslie Emily@MontaraMtEnergy.comSam Schreiber sam.schreiber@ethree.com Jared Ferguson Jared.Ferguson@cpuc.ca.govOluwafemi Sawyerr femi@ethree.com

The spatial analysis software market is experiencing robust growth, driven by increasing adoption across diverse sectors. The market's value is estimated at $5 billion in 2025, demonstrating significant expansion from its historical period (2019-2024). A Compound Annual Growth Rate (CAGR) of 15% is projected from 2025 to 2033, indicating a substantial market expansion to an estimated $15 billion by 2033. Key drivers include the rising need for location intelligence in business decision-making, the increasing availability of geospatial data, and advancements in cloud computing and artificial intelligence (AI) that enhance spatial analysis capabilities. Furthermore, the integration of spatial analysis with other technologies, such as big data analytics and machine learning, is fostering innovation and expanding applications across various industries. The market is segmented by application (e.g., urban planning, environmental monitoring, transportation logistics) and by software type (e.g., GIS software, remote sensing software, spatial statistics software). Leading companies are continuously investing in research and development, leading to the emergence of more sophisticated and user-friendly solutions. Market restraints include the high cost of software licenses and implementation, the complexity of using advanced spatial analysis tools, and the shortage of skilled professionals capable of effectively leveraging these technologies. However, the expanding availability of open-source spatial analysis tools and online training programs is gradually mitigating these barriers. The regional breakdown shows strong growth across North America and Europe, fueled by significant technological advancements and substantial public and private sector investments. The Asia-Pacific region is also poised for significant expansion, driven by rapid urbanization and economic growth. The consistent growth across different segments and regions ensures long-term market stability and offers significant opportunities for both established players and new entrants. The continued convergence of spatial analysis with other technologies will remain a central theme, driving innovation and unlocking further value across numerous sectors.

Geographic Information System (GIS) Market size was valued at USD 16.4 Billion in 2024 and is projected to reach USD 43.82 Billion by 2032, growing at a CAGR of 13.07% from 2026 to 2032.Key market drivers for the Geographic Information System (GIS) Market include rising demand for smart city infrastructure, increasing use of location-based services, growing applications in urban planning and disaster management, and advancements in satellite and remote sensing technologies that enhance geospatial data accuracy and real-time analysis.