Discover the booming GIS mapping tools market! This in-depth analysis reveals a $15B market in 2025 projected to reach $39B by 2033, driven by cloud adoption, AI integration, and surging demand across sectors. Explore key trends, leading companies (Esri, ArcGIS, QGIS, etc.), and regional growth forecasts.

Discover the booming GIS Mapping Tools market! Explore key trends, growth drivers, and leading companies in this $15 billion industry projected to reach $28 billion by 2033. Learn about cloud-based solutions, regional market shares, and the future of geographic information systems.

The size of the GIS Mapping Tools market was valued at USD XXX million in 2024 and is projected to reach USD XXX million by 2033, with an expected CAGR of XX % during the forecast period.

The booming GIS Mapping Tools market is projected to reach $45 billion by 2033, driven by cloud adoption and AI. Explore market trends, key players (Esri, Autodesk, Hexagon), and regional growth in this comprehensive analysis.

Discover the booming GIS Mapping Tools market! This in-depth analysis reveals key trends, growth drivers, and leading companies shaping the future of spatial data. Explore market size, CAGR, regional insights, and application segments (Geological Exploration, Urban Planning, etc.). Learn how cloud-based solutions are revolutionizing GIS.

The Minnesota DNR Toolbox and Hydro Tools provide a number of convenience geoprocessing tools used regularly by MNDNR staff. Many of these may be useful to the wider public. However, some tools may rely on data that is not available outside of the DNR. All tools require at least ArcGIS 10+.

If you create a GDRS using GDRS Manager and include this toolbox resource and MNDNR Quick Layers, the DNR toolboxes will automatically be added to the ArcToolbox window whenever Quick Layers GDRS Location is set to the GDRS location that has the toolboxes.

Toolsets included in MNDNR Tools V10:
- Analysis Tools
- Conversion Tools
- Division Tools
- General Tools
- Hydrology Tools
- LiDAR and DEM Tools
- Raster Tools
- Sampling Tools

These toolboxes are provided free of charge and are not warrantied for any specific use. We do not provide support or assistance in downloading or using these tools. We do, however, strive to produce high-quality tools and appreciate comments you have about them.

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.

Esri's ArcGIS Online tools provide three methods of filtering larger datasets using attribute or geospatial information that are a part of each individual dataset. These instructions provide a basic overview of the step a GeoHub end user can take to filter out unnecessary data or to specifically hone in a particular location to find data related to this location and download the specific information filtered through the search bar, as seen on the map or using the attribute filters in the Data tab.

Learn more about the Geographic Information System Gis Tools Market Report by Market Research Intellect, which stood at USD 12.1 billion in 2024 and is forecast to expand to USD 23.5 billion by 2033, growing at a CAGR of 8.2%.Discover how new strategies, rising investments, and top players are shaping the future.

These datasets contain the geographic boundaries and funding status information for HUD’s Continuum of Care (CoC) areas by Year. HUD is providing these datasets for use by CoC grantees, homeless services planners, and research institutions. Because HUD provides competitive funding for homeless services through a CoC structure that is developed at the local level, outside research based on this structure cannot be accomplished without the provision of the geographic boundaries and related data provided herein. Therefore, this dataset was developed to make the CoC process and funding as transparent as possible to the public.

The Global GIS Mapping Tools Market is poised for significant expansion, projected to reach a substantial market size of $10 billion by 2025, with an anticipated Compound Annual Growth Rate (CAGR) of 12.5% through 2033. This robust growth trajectory is fueled by the increasing demand for advanced spatial analysis and visualization capabilities across a multitude of sectors. Key drivers include the escalating need for accurate geological exploration to identify and manage natural resources, the critical role of GIS in planning and executing complex water conservancy projects for sustainable water management, and the indispensable application of GIS in urban planning for efficient city development and infrastructure management. Furthermore, the burgeoning adoption of cloud-based and web-based GIS solutions is democratizing access to powerful mapping tools, enabling broader use by organizations of all sizes. The market is also benefiting from advancements in data processing, artificial intelligence integration, and the growing availability of open-source GIS platforms. Despite the optimistic outlook, certain restraints could temper the market's full potential. High initial investment costs for sophisticated GIS software and hardware, coupled with a shortage of skilled GIS professionals in certain regions, may pose challenges. However, the overwhelming benefits of enhanced decision-making, improved operational efficiency, and the ability to gain deep insights from spatial data are compelling organizations to overcome these hurdles. The competitive landscape is dynamic, featuring established players like Esri and Autodesk alongside innovative providers such as Mapbox and CARTO, all vying for market share by offering specialized features, user-friendly interfaces, and integrated solutions. The continuous evolution of GIS technology, driven by the integration of remote sensing data, big data analytics, and real-time information, will continue to shape the market's future. Here's a comprehensive report description on GIS Mapping Tools, incorporating your specified requirements:

This in-depth report provides a panoramic view of the global GIS Mapping Tools market, meticulously analyzing its landscape from the Historical Period (2019-2024) through to the Forecast Period (2025-2033), with 2025 serving as both the Base Year and the Estimated Year. The study period encompasses 2019-2033, offering a robust historical context and forward-looking projections. The market is valued in the millions of US dollars, with detailed segment-specific valuations and growth trajectories. The report is structured to deliver actionable intelligence to stakeholders, covering market concentration, key trends, regional dominance, product insights, and critical industry dynamics. It delves into the intricate interplay of companies such as Esri, Hexagon, Autodesk, CARTO, and Mapbox, alongside emerging players like Geoway and Shenzhen Edraw Software, across diverse applications including Geological Exploration, Water Conservancy Projects, and Urban Planning. The analysis also differentiates between Cloud Based and Web Based GIS solutions, providing a granular understanding of market segmentation.

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 ...

Geographic Information System (GIS) Tools Market size was valued at USD 12350.75 million in 2024 and the revenue is expected to grow at a CAGR of 9.45% from 2025 to 2032

Discover the booming Geographic Information System (GIS) Tools market! Our analysis reveals a $2979.7 million market in 2025, projected to grow at a 5.5% CAGR through 2033. Explore key drivers, trends, regional breakdowns, and leading companies shaping this dynamic industry.

Discover the booming interactive map creation tools market! This in-depth analysis reveals a $2.5 billion market in 2025, projected to reach $8 billion by 2033, driven by cloud-based solutions and growing data visualization needs. Learn about key players, market segmentation, and regional trends shaping this exciting sector.

The Geographic Information System (GIS) Tools market is booming, projected to reach $2890.3 million by 2025 with a 5.3% CAGR. Discover key trends, drivers, restraints, and leading companies shaping this dynamic sector. Explore regional market shares and growth forecasts for 2025-2033.

These scripts prepare input data and complete the Civic Address Layers Analysis and GIS 911 Synchronization Analysis in support of Next Generation 9-1-1 Deployment in the Commonwealth of Virginia.Report Card Tools v1.1 December 2020Report Card Tools v1.0 March 2019See here for the user guide and other required resources.Additional resources and recommendations on GIS related topics are available on the VGIN 9-1-1 & GIS page.

High Injury Network GIS Tooling Market Outlook

According to our latest research, the global High Injury Network GIS Tooling market size reached USD 2.38 billion in 2024, reflecting a robust surge driven by the increasing prioritization of road safety and urban mobility solutions worldwide. The market is expected to expand at a compound annual growth rate (CAGR) of 14.1% from 2025 to 2033, reaching a forecasted value of approximately USD 7.26 billion by 2033. This remarkable growth is propelled by the integration of advanced geospatial analytics, heightened government investments in smart city initiatives, and the urgent need to reduce traffic-related injuries and fatalities through data-driven decision-making.

The primary growth driver for the High Injury Network GIS Tooling market is the escalating global focus on traffic safety and the reduction of high-injury corridors in urban environments. Governments and municipal authorities are increasingly leveraging Geographic Information System (GIS) tools to identify, analyze, and mitigate hazardous road segments. The advent of real-time data collection, coupled with the proliferation of IoT-enabled sensors and connected infrastructure, has significantly enhanced the accuracy and effectiveness of high injury network mapping. This, in turn, enables authorities to prioritize interventions, allocate resources efficiently, and measure the impact of safety programs with unprecedented precision. The adoption of GIS tooling for traffic safety analysis is further bolstered by stringent regulatory frameworks and international commitments to Vision Zero and similar road safety initiatives, which aim to eliminate traffic fatalities and severe injuries.

Another critical factor fueling the market’s expansion is the integration of High Injury Network GIS Tooling into broader urban planning and transportation management strategies. As urban populations swell and cities grapple with congestion, pollution, and infrastructure aging, GIS-based tools offer a holistic approach to optimizing road networks, enhancing emergency response, and supporting sustainable development goals. Advanced spatial analytics empower urban planners and transportation authorities to simulate various scenarios, assess risk factors, and design data-backed interventions that improve road safety and overall urban livability. The synergy between GIS tooling and emerging technologies such as artificial intelligence, machine learning, and big data analytics is further amplifying the market’s potential, enabling predictive modeling and proactive risk management.

The rapid digital transformation across the public sector and the increasing availability of cloud-based GIS solutions are also contributing to market growth. Cloud deployment models offer scalability, cost-effectiveness, and seamless collaboration among multiple stakeholders, making advanced GIS tooling accessible to a broader range of end-users, including smaller municipalities and research organizations. This democratization of geospatial analytics is fostering innovation and accelerating the adoption of High Injury Network GIS Tooling in both developed and emerging economies. Furthermore, strategic partnerships between technology providers, government agencies, and academic institutions are driving the development of tailored solutions that address region-specific challenges and regulatory requirements.

From a regional perspective, North America continues to lead the High Injury Network GIS Tooling market, accounting for the largest revenue share in 2024. This dominance is attributed to the early adoption of advanced GIS technologies, robust government funding for road safety initiatives, and the presence of leading market players. Europe follows closely, supported by strong regulatory mandates and cross-border collaborations aimed at enhancing transportation safety. The Asia Pacific region is emerging as a high-growth market, fueled by rapid urbanization, infrastructure modernization, and increasing awareness of the socio-economic costs of road injuries. Latin America and the Middle East & Africa are also witnessing steady growth, driven by international development programs and the localization of GIS solutions to address unique regional challenges.

Component Analysis

The High Injury Network GIS Tooling market is segmented by component into software, hardware, and services, each playing a pivotal role in the ecosystem’s value chain. The software segment d

Download Report Card Data File GeodatabaseThese data contain feature classes that are used in the Virginia GIS Data Report Card Tools for NG9-1-1 Preparation.Seeherefor the user guide and tools.Additionalresources and recommendations on GIS related topics are available on theVGIN 9-1-1 & GISpage.

High Injury Network GIS Tooling Market Outlook

According to our latest research, the Global High Injury Network GIS Tooling market size was valued at $1.3 billion in 2024 and is projected to reach $4.8 billion by 2033, expanding at a robust CAGR of 15.2% during the forecast period of 2024–2033. The major factor propelling this market’s global growth is the increasing prioritization of road safety and urban mobility, which has led to a surge in demand for advanced GIS (Geographic Information System) tools capable of identifying high injury networks. These tools are instrumental for government agencies, urban planners, and transportation authorities aiming to reduce traffic fatalities and serious injuries through data-driven interventions and targeted infrastructure investments.

Regional Outlook

North America continues to dominate the High Injury Network GIS Tooling market, holding the largest market share of approximately 38% in 2024. This region’s leadership is underpinned by its mature transportation infrastructure, widespread adoption of advanced GIS technologies, and strong policy mandates focused on Vision Zero and similar traffic safety initiatives. The United States, in particular, has been at the forefront, investing heavily in smart city projects and leveraging GIS tooling for traffic safety analysis and urban planning. The presence of leading GIS software vendors and robust funding for public safety programs further solidifies North America's market position. Additionally, cross-sector collaborations between government agencies and technology providers have accelerated the integration of GIS solutions, ensuring that North America remains the benchmark for innovation and best practices in this sector.

Asia Pacific is emerging as the fastest-growing region in the High Injury Network GIS Tooling market, with a projected CAGR of 18.6% from 2024 to 2033. Rapid urbanization, escalating concerns about road safety, and increasing investments in smart transportation infrastructure are driving this growth. Countries such as China, India, and Japan are making significant strides in deploying GIS-based traffic safety analysis tools, supported by government initiatives to modernize urban mobility systems. The region’s large population base, coupled with rising vehicle ownership, has created an urgent need for effective injury prevention strategies. Furthermore, the adoption of cloud-based GIS tools and the proliferation of mobile applications for real-time data collection are enhancing the scalability and accessibility of these solutions across diverse urban and semi-urban landscapes.

Emerging economies in Latin America, the Middle East, and Africa are gradually embracing High Injury Network GIS Tooling solutions, albeit at a slower pace due to infrastructure constraints and budgetary limitations. In these regions, the adoption of GIS tooling is often driven by international funding, pilot projects, and collaborations with global organizations focused on road safety. However, challenges such as limited technical expertise, data availability issues, and fragmented regulatory frameworks can hinder widespread implementation. Despite these hurdles, localized demand for public health improvements and urban safety is prompting governments and municipalities to explore GIS-driven approaches, particularly in major cities facing rapid population growth and increased traffic congestion.

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