The digital filing is created from urban planning announcement data provided by the urban development bureau. The fields include number, administrative district, use zone, zone abbreviation, urban planning name, establishment date, area, building coverage ratio, floor area ratio, maximum volume ratio, urban planning area, detailed planning area, remarks, drawing revision date, publication document number, and project name.

Discover the booming market for urban planning apps! This in-depth analysis reveals a $76.9 million market in 2025, projected to reach significant growth by 2033, driven by smart city initiatives and technological advancements. Explore market trends, key players (SketchUp, ArcGIS Collector, AutoCAD 360), and regional insights.

The digital file is created from the urban planning announcement data provided by the Urban Development Bureau. The fields include number, administrative district, use zone, zone abbreviation, urban plan name, establishment date, area, building coverage ratio, floor area ratio, maximum floor area, urban planning area, detailed planning area, notes, drawing revision date, issuance document number, and project name.

The global urban planning software market, valued at $151.5 million in 2025, is projected to experience robust growth, driven by the increasing need for efficient and sustainable urban development worldwide. A compound annual growth rate (CAGR) of 4.6% from 2025 to 2033 indicates a significant expansion, fueled by several key factors. The rising adoption of Building Information Modeling (BIM) and Geographic Information Systems (GIS) technologies enhances collaboration among stakeholders and improves the accuracy of urban planning projects. Furthermore, the growing emphasis on smart city initiatives and the need for data-driven decision-making are accelerating the demand for sophisticated urban planning software solutions. Government mandates for sustainable development and infrastructure improvements are also boosting market growth. The market is segmented by application (Company, Government, Other) and type (Service, Software), with the software segment likely dominating due to its scalability and features. Key players such as Esri, Bentley Systems, and Autodesk are driving innovation and market competition, continuously enhancing their offerings to cater to the evolving needs of urban planners. The market's growth, however, is not without challenges. High initial investment costs for software and training can deter smaller firms and municipalities. Data integration complexities across different systems and the need for skilled professionals capable of effectively utilizing these advanced tools present further hurdles. Nevertheless, the long-term benefits of improved urban planning, reduced project costs, and enhanced resource management are expected to outweigh these limitations, resulting in sustained market expansion. Regional variations are expected, with North America and Europe likely maintaining significant market share due to their advanced technological infrastructure and strong adoption rates. However, rapid urbanization in Asia-Pacific and the Middle East & Africa presents a considerable opportunity for future market growth as these regions increasingly adopt digital technologies in their urban planning strategies.

The Urban Planning Software market is booming, projected to reach $8.87 billion in 2025 and grow at a CAGR of 7.81% through 2033. Discover key trends, leading companies, and regional insights in this comprehensive market analysis. Learn how AI, GIS, and cloud solutions are transforming urban development.

Town of Blacksburg, Virginia August 2019 map. Displays a polygon layer identifying urban development areas. This data is being preserved and distributed by Virginia Tech University Libraries. This data is meant for general use only. Virginia Tech’s University Library is acting as a steward for this data and any questions about its use should refer to the Town of Blacksburg Engineering & GIS group.

Unincorporated Urban Growth Areas (UGA) as defined by the Growth Management Act (GMA). The annual update is conducted by collecting UGA polygons directly from each of Washington's 39 counties. As of 2025, there are 27 counties with UGAs.All UGA polygons are normalized against the Department of Revenue's (DOR) "City Boundaries" layer (shared to the Washington Geoportal a.k.a. the GIS Open Data site: geo.wa.gov). The City Boundaries layer was processed into this UGA layer such that any overlapping area of UGA polygons (from authoritative individual counties) was erased. Since DOR polygons and county-sourced UGA polygons do not have perfect topology, many slivers resulted after the erase operation. These are attempted to be irradicated by these processing steps. "Multipart To Singlepart" Esri tool; exploded all polygons to be individualSlivers were mathematically identified using a 4 acre area threshold and a 0.3 "thinness ratio" threshold as described by Esri's "Polygon Sliver" tool. These slivers are merged into the neighboring features using Esri's "Eliminate" tool.Polygons that are less than 5,000 sq. ft. and not part of a DOR city (CITY_NM = Null) were also merged via the "Eliminate" tool. (many very small slivers were manually found yet mathematically did not meet the thinness ratio threshold)The final 8 polygons less than 25 sq. ft. were manually deleted (also slivers but were not lined up against another feature and missed by the "Eliminate" tool runs)Dissolved all features back to multipart using all fieldsAll UGAs polygons remaining are unincorporated areas beyond the city limits. Any polygon with CITY_NM populated originated from the DOR "City Boundaries" layer. The DOR's City Boundaries are updated quarterly by DOR. For the purposes of this UGA layer, the city boundaries was downloaded one time (4/24/2025) and will not be updated quarterly. Therefore, if precise city limits are required by any user of UGA boundaries, please refer to the city boundaries layer and conduct any geoprocessing needed. The DOR's "City Boundaries" layer is available here:https://www.arcgis.com/home/item.html?id=69fcb668dc8d49ea8010b6e33e42a13aData is updated in conjunction with the annual statewide parcel layer update. Latest update completed April 2025.

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North America Geographic Information System Market Size 2025-2029

The geographic information system market size in North America is forecast to increase by USD 11.4 billion at a CAGR of 23.7% between 2024 and 2029.

The market is experiencing significant growth due to the increasing adoption of advanced technologies such as artificial intelligence, satellite imagery, and sensors in various industries. In fleet management, GIS software is being used to optimize routes and improve operational efficiency. In the context of smart cities, GIS solutions are being utilized for content delivery, public safety, and building information modeling. The demand for miniaturization of technologies is also driving the market, allowing for the integration of GIS into smaller devices and applications. However, data security concerns remain a challenge, as the collection and storage of sensitive information requires robust security measures. The insurance industry is also leveraging GIS for telematics and risk assessment, while the construction sector uses GIS for server-based project management and planning. Overall, the GIS market is poised for continued growth as these trends and applications continue to evolve.

What will be the Size of the market During the Forecast Period?

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The Geographic Information System (GIS) market encompasses a range of technologies and applications that enable the collection, management, analysis, and visualization of spatial data. Key industries driving market growth include transportation, infrastructure planning, urban planning, and environmental monitoring. Remote sensing technologies, such as satellite imaging and aerial photography, play a significant role in data collection. Artificial intelligence and the Internet of Things (IoT) are increasingly integrated into GIS solutions for real-time location data processing and operational efficiency.
Applications span various sectors, including agriculture, natural resources, construction, and smart cities. GIS is essential for infrastructure analysis, disaster management, and land management. Geospatial technology enables spatial data integration, providing valuable insights for decision-making and optimization. Market size is substantial and growing, fueled by increasing demand for efficient urban planning, improved infrastructure, and environmental sustainability. Geospatial startups continue to emerge, innovating in areas such as telematics, natural disasters, and smart city development.

How is this market segmented and which is the largest segment?

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

Component

  Software
  Data
  Services


Deployment

  On-premise
  Cloud


Geography

  North America

    Canada
    Mexico
    US

By Component Insights

The software segment is estimated to witness significant growth during the forecast period.

The Geographic Information System (GIS) market encompasses desktop, mobile, cloud, and server software for managing and analyzing spatial data. In North America, industry-specific GIS software dominates, with some commercial entities providing open-source alternatives for limited functions like routing and geocoding. Despite this, counterfeit products pose a threat, making open-source software a viable option for smaller applications. Market trends indicate a shift towards cloud-based GIS solutions for enhanced operational efficiency and real-time location data. Spatial data applications span various sectors, including transportation infrastructure planning, urban planning, natural resources management, environmental monitoring, agriculture, and disaster management. Technological innovations, such as artificial intelligence, the Internet of Things (IoT), and satellite imagery, are revolutionizing GIS solutions.

Cloud-based GIS solutions, IoT integration, and augmented reality are emerging trends. Geospatial technology is essential for smart city projects, climate monitoring, intelligent transportation systems, and land management. Industry statistics indicate steady growth, with key players focusing on product innovation, infrastructure optimization, and geospatial utility solutions.

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Market Dynamics

Our North America Geographic Information System Market researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

What are the key market drivers leading to the rise in the adoption of the North America Geographic Information System Market?

Rising applications of geographic

Discover the booming urban planning and design software market, projected to reach $6.31 billion by 2033 with a 12% CAGR. This in-depth analysis explores market size, key drivers, trends, and regional insights, featuring leading companies like SketchUp and ESRI. Learn about cloud-based solutions, BIM, and GIS applications transforming urban development.

This dataset includes pre-processed geospatial data grids (.shp) and in high spatial resolution (50 m X 50 m) of 17 microscale built environment attributes. (in km per km2) The geospatial grids have been calculated using the Kernel density tool in ArcGIS Desktop, v.10.3 (ESRI, REDLANDS) applied to the raw GIS vectors (i.e., polylines), created during the street observation phase of our research. Please, also see the read_me.txt and desclaimer.txt files.

More information about the project can be seen: 1. on our website: http://geochoros.survey.ntua.gr/walkandthecitycenter/home 2. and our data article in 'Data in Brief' Journal: Bartzokas-Tsiompras, A., Photis, Y., Tsagkis, P., & Panagiotopoulos, G. (2021-under review). Microscale walkability indicators for fifty-nine European central urban areas: An open-access tabular dataset and geospatial web-based platform. Data in Brief.

Town of Blacksburg, Virginia August 2018 map. Displays a polygon layer identifying urban development areas. This data is being preserved and distributed by Virginia Tech University Libraries. This data is meant for general use only. Virginia Tech’s University Library is acting as a steward for this data and any questions about its use should refer to the Town of Blacksburg Engineering & GIS group.

Explore the booming urban planning apps market, valued at $76.9M by 2025 and growing at 7.3% CAGR. Discover key drivers, emerging trends, market segmentation, and regional insights for smart city development.

This research study considers one such urban technology, namely utilising digital twins in cities. Digital twin city (DTC) technology is investigated to identify the gap in soft infrastructure data inclusion in DTC development. Soft infrastructure data considers the social and economic systems of a city, which leads to the identification of socio-economic security (SES) as the metric of investigation. The study also investigated how GIS mapping of the SES system in the specific context of Hatfield informs a soft infrastructure understanding that contributes to DTC readiness. This research study collected desk-researched secondary data and field-researched primary data in GIS using ArcGIS PRO and the Esri Online Platform using ArcGIS software. To form conclusions, grounded theory qualitative analysis and descriptive statistics analysis of the spatial GIS data schema data sets were performed.

Discover the booming market for urban planning apps! This in-depth analysis reveals a $76.9M market in 2025, projecting 7.3% CAGR growth to 2033. Explore key drivers, trends, regional breakdowns, and leading companies shaping this dynamic sector. Learn how mobile technology, GIS data, and 3D modeling are transforming urban development.

The GIS-based Time model of Gothenburg aims to map the process of urban development in Gothenburg since 1960 and in particular to document the changes in the spatial form of the city - streets, buildings and plots - through time. Major steps have in recent decades been taken when it comes to understanding how cities work. Essential is the change from understanding cities as locations to understanding them as flows (Batty 2013)1. In principle this means that we need to understand locations (or places) as defined by flows (or different forms of traffic), rather than locations only served by flows. This implies that we need to understand the built form and spatial structure of cities as a system, that by shaping flows creates a series of places with very specific relations to all other places in the city, which also give them very specific performative potentials. It also implies the rather fascinating notion that what happens in one place is dependent on its relation to all other places (Hillier 1996)2. Hence, to understand the individual place, we need a model of the city as a whole.

Extensive research in this direction has taken place in recent years, that has also spilled over to urban design practice, not least in Sweden, where the idea that to understand the part you need to understand the whole is starting to be established. With the GIS-based Time model for Gothenburg that we present here, we address the next challenge. Place is not only something defined by its spatial relation to all other places in its system, but also by its history, or its evolution over time. Since the built form of the city changes over time, often by cities growing but at times also by cities shrinking, the spatial relation between places changes over time. If cities tend to grow, and most often by extending their periphery, it means that most places get a more central location over time. If this is a general tendency, it does not mean that all places increase their centrality to an equal degree. Depending on the structure of the individual city’s spatial form, different places become more centrally located to different degrees as well as their relative distance to other places changes to different degrees. The even more fascinating notion then becomes apparent; places move over time! To capture, study and understand this, we need a "time model".

The GIS-based time model of Gothenburg consists of: • 12 GIS-layers of the street network, from 1960 to 2015, in 5-year intervals • 12 GIS-layers of the buildings from 1960 to 2015, in 5-year intervals - Please note that this dataset has been moved to a separate catalog post (https://doi.org/10.5878/t8s9-6y15) and unpublished due to licensing restrictions on its source dataset. • 12 GIS- layers of the plots from1960 to 2015, in 5-year intervals

In the GIS-based Time model, for every time-frame, the combination of the three fundamental components of spatial form, that is streets, plots and buildings, provides a consistent description of the built environment at that particular time. The evolution of three components can be studied individually, where one could for example analyze the changing patterns of street centrality over time by focusing on the street network; or, the densification processes by focusing on the buildings; or, the expansion of the city by way of occupying more buildable land, by focusing on plots. The combined snapshots of street centrality, density and land division can provide insightful observations about the spatial form of the city at each time-frame; for example, the patterns of spatial segregation, the distribution of urban density or the patterns of sprawl. The observation of how the interrelated layers of spatial form together evolved and transformed through time can provide a more complete image of the patterns of urban growth in the city.

The Time model was created following the principles of the model of spatial form of the city, as developed by the Spatial Morphology Group (SMoG) at Chalmers University of Technology, within the three-year research project ‘International Spatial Morphology Lab (SMoL)’.

The project is funded by Älvstranden Utveckling AB in the framework of a larger cooperation project called Fusion Point Gothenburg. The data is shared via SND to create a research infrastructure that is open to new study initiatives.

1. Batty, M. (2013), The New Science of Cities, Cambridge: MIT Press.
2. Hillier, B., (1996), Space Is the Machine. Cambridge: University of Cambridge

• 12 GIS-layers of the street network in Gothenburg, from 1960 to 2015, in 5-year intervals. File format: shapefile (.shp), MapinfoTAB (.TAB). The coordinate system used is SWEREF 99TM, EPSG:3006.

• 12 GIS-layers of plots in Gothenburg, from 1960 to 2015, in 5-year intervals. Only built upon plots (plots with buildings) are included. File format: shapefile (.shp), MapinfoTAB (.TAB). The coordinate system used is SWEREF 99TM, EPSG:3006.

See the attached Technical Documentation for the description and further details on the production of the datasets. See the attached Report for the description of the related research project.

Discover the booming Urban & Rural Planning and Design market. This comprehensive analysis reveals key trends, drivers, restraints, and regional insights for 2025-2033, including market size projections and top players like Foster + Partners and HOK. Learn about the impact of urbanization, sustainable development, and technological advancements on this dynamic sector.

The global urban planning apps market, valued at $76.9 million in 2025, is projected to experience robust growth, driven by increasing urbanization, the need for efficient resource management, and the rising adoption of digital technologies in urban planning. A Compound Annual Growth Rate (CAGR) of 7.3% from 2025 to 2033 indicates a substantial market expansion. Key drivers include the increasing availability of high-quality geospatial data, advancements in mobile technology facilitating seamless data access and collaboration, and growing government initiatives promoting smart city development. The market is segmented by application (large enterprises and SMEs) and operating system (iOS and Android). Large enterprises, particularly in developed nations, currently dominate the market due to their higher budgets and greater need for sophisticated planning tools. However, the SME segment exhibits significant growth potential, driven by the increasing affordability and accessibility of user-friendly urban planning apps. The adoption of cloud-based solutions enhances collaboration and data sharing, leading to improved efficiency in urban planning projects. Furthermore, the integration of advanced technologies like AI and machine learning into urban planning apps will propel market growth further, enabling predictive modeling and informed decision-making. Geographic expansion is also a significant factor, with regions like Asia-Pacific exhibiting substantial growth potential due to rapid urbanization and increasing government investments in infrastructure development. The competitive landscape is characterized by a mix of established players like Autodesk (AutoCAD 360) and Esri (ArcGIS Collector), and innovative startups offering niche solutions. The market is witnessing increased innovation in areas such as 3D modeling, visualization, and citizen engagement tools. While challenges remain, such as data security concerns and the need for user training and support, the overall outlook for the urban planning apps market remains highly positive. The integration of these apps with other smart city initiatives, such as transportation management systems and environmental monitoring platforms, will further enhance their value and adoption rate, contributing to the overall sustainable development of urban areas. The increasing demand for effective urban planning solutions, coupled with technological advancements and supportive government policies, ensures a promising future for this market.

The urban planning app market is booming, projected to reach [estimated 2033 value] by 2033, growing at a CAGR of 7.3%. This report analyzes market size, trends, key players (SketchUp, ArcGIS, AutoCAD), and regional growth, offering insights for investors and urban planners. Explore the future of urban development with mobile apps.

Unlock precise, high-quality GIS data covering 4.5M+ verified locations across Italy. With 50+ enriched attributes including coordinates, building structures, and spatial geometry our dataset provides the granularity and accuracy needed for in-depth spatial analysis. Powered by AI-driven enrichment and deduplication, and backed by 30+ years of expertise, our GIS solutions support industries ranging from mapping and navigation to urban planning and market analysis, helping businesses and organizations make smarter, data-driven decisions.

Key use cases of GIS Data helping our customers :

1. Optimize Mapping & Spatial Analysis : Use GIS data to analyse landscapes, urban infrastructure, and competitor locations, ensuring data-driven planning and decision-making.
2. Enhance Navigation & Location-Based Services : Improve real-time route planning, asset tracking, and EV charging station discovery for seamless location-based experiences.
3. Identify Strategic Sites for Business Expansion : Leverage GIS intelligence to select optimal retail sites, franchise locations, and warehouses with precision.
4. Improve Logistics & Address Accuracy : Streamline delivery networks, validate addresses, and optimize courier routes to boost efficiency and customer satisfaction.
5. Support Environmental & Urban Development Initiatives : Utilize GIS insights for disaster preparedness, sustainable city planning, and land-use management.