The global 3D mapping and modeling market is expected to grow significantly in the next few years as demand increases for detailed and accurate representations of physical environments in three-dimensional space. Estimated to be valued at USD 38.62 billion in the year 2025, the market was expected to grow at a CAGR of 14.5% from 2025 to 2033 and was estimated to reach an amount of USD 90.26 billion by the end of 2033. The high growth rate is because of improvement in advanced technologies with the development of high-resolution sensors and methods of photogrammetry that make possible higher-resolution realistic and immersive 3D models.Key trends in the market are the adoption of virtual and augmented reality (VR/AR) applications, 3D mapping with smart city infrastructure, and increased architecture, engineering, and construction utilization of 3D models. Other factors are driving the growing adoption of cloud-based 3D mapping and modeling solutions. The solutions promise scalability, cost-effectiveness, and easy access to 3D data, thus appealing to business and organizations of all sizes. Recent developments include: Jun 2023: Nomoko (Switzerland), a leading provider of real-world 3D data technology, announced that it has joined the Overture Maps Foundation, a non-profit organization committed to fostering collaboration and innovation in the geospatial domain. Nomoko will collaborate with Meta, Amazon Web Services (AWS), TomTom, and Microsoft, to create interoperable, accessible 3D datasets, leveraging its real-world 3D modeling capabilities., May 2023: The Sanborn Map Company (Sanborn), an authority in 3D models, announced the development of a powerful new tool, the Digital Twin Base Map. This innovative technology sets a new standard for urban analysis, implementation of Digital Cities, navigation, and planning with a fundamental transformation from a 2D map to a 3D environment. The Digital Twin Base Map is a high-resolution 3D map providing unprecedented detail and accuracy., Feb 2023: Bluesky Geospatial launched the MetroVista, a 3D aerial mapping program in the USA. The service employs a hybrid imaging-Lidar airborne sensor to capture highly detailed 3D data, including 360-degree views of buildings and street-level features, in urban areas to create digital twins, visualizations, and simulations., Feb 2023: Esri, a leading global provider of geographic information system (GIS), location intelligence, and mapping solutions, released new ArcGIS Reality Software to capture the world in 3D. ArcGIS Reality enables site, city, and country-wide 3D mapping for digital twins. These 3D models and high-resolution maps allow organizations to analyze and interact with a digital world, accurately showing their locations and situations., Jan 2023: Strava, a subscription-based fitness platform, announced the acquisition of FATMAP, a 3D mapping platform, to integrate into its app. The acquisition adds FATMAP's mountain-focused maps to Strava's platform, combining with the data already within Strava's products, including city and suburban areas for runners and other fitness enthusiasts., Jan 2023: The 3D mapping platform FATMAP is acquired by Strava. FATMAP applies the concept of 3D visualization specifically for people who like mountain sports like skiing and hiking., Jan 2022: GeoScience Limited (the UK) announced receiving funding from Deep Digital Cornwall (DDC) to develop a new digital heat flow map. The DDC project has received grant funding from the European Regional Development Fund. This study aims to model the heat flow in the region's shallower geothermal resources to promote its utilization in low-carbon heating. GeoScience Ltd wants to create a more robust 3D model of the Cornwall subsurface temperature through additional boreholes and more sophisticated modeling techniques., Aug 2022: In order to create and explore the system's possibilities, CGTrader worked with the online retailer of dietary supplements Hello100. The system has the ability to scale up the generation of more models, and it has enhanced and improved Hello100's appearance on Amazon Marketplace.. Key drivers for this market are: The demand for 3D maps and models is growing rapidly across various industries, including architecture, engineering, and construction (AEC), manufacturing, transportation, and healthcare. Advances in hardware, software, and data acquisition techniques are making it possible to create more accurate, detailed, and realistic 3D maps and models. Digital twins, which are virtual representations of real-world assets or systems, are driving the demand for 3D mapping and modeling technologies for the creation of accurate and up-to-date digital representations.

. Potential restraints include: The acquisition and processing of 3D data can be expensive, especially for large-scale projects. There is a lack of standardization in the 3D mapping modeling industry, which can make it difficult to share and exchange data between different software and systems. There is a shortage of skilled professionals who are able to create and use 3D maps and models effectively.. Notable trends are: 3D mapping and modeling technologies are becoming essential for a wide range of applications, including urban planning, architecture, construction, environmental management, and gaming. Advancements in hardware, software, and data acquisition techniques are enabling the creation of more accurate, detailed, and realistic 3D maps and models. Digital twins, which are virtual representations of real-world assets or systems, are driving the demand for 3D mapping and modeling technologies for the creation of accurate and up-to-date digital representations..

The global digital indoor map market is experiencing robust growth, driven by the increasing adoption of indoor navigation systems in various sectors. The market size is projected to reach $XXX million by 2033, expanding at a CAGR of XX% over the forecast period of 2025-2033. Key drivers include the rising demand for indoor mapping solutions in public sector agencies and retail establishments, the integration of advanced technologies such as augmented reality and artificial intelligence, and the growing emphasis on indoor safety and security measures. Segmentation of the digital indoor map market reveals distinct application areas including automotive navigation, mobile and the internet, public sector agencies and enterprises, and others. Types of digital indoor maps available in the market include retail indoor maps, airport indoor maps, and others. Geographic regions considered in the analysis include North America, South America, Europe, Middle East & Africa, and Asia Pacific. Leading companies operating in the digital indoor map market include WoNoBo, Bing Maps, GeoMapserver, MapQuest, ArcGIS Online, and Yahoo! Maps, among others.

Our Co-design team is from the University of Texas, working on a Department of Energy-funded project focused on the Beaumont-Port Arthur area. As part of this project, we will be developing climate-resilient design solutions for areas of the region. More on www.caee.utexas.edu. We captured aerial photos in the Port Arthur Coastal Neighborhood Community and the Golf Course on Pleasure Island, Texas, in June 2024. Aerial photos taken were through DroneDeploy autonomous flight, and models were processed through the DroneDeploy engine as well. All aerial photos are in .JPG format and contained in zipped files for each area. The processed data package includes 3D models, geospatial data, mappings, and point clouds. Please be aware that DTM, Elevation toolbox, Point cloud, and Orthomosaic use EPSG: 6588. And 3D Model uses EPSG: 3857. For using these data: - The Adobe Suite gives you great software to open .Tif files. - You can use LASUtility (Windows), ESRI ArcGIS Pro (Windows), or Blaze3D (Windows, Linux) to open a LAS file and view the data it contains. - Open an .OBJ file with a large number of free and commercial applications. Some examples include Microsoft 3D Builder, Apple Preview, Blender, and Autodesk. - You may use ArcGIS, Merkaartor, Blender (with the Google Earth Importer plug-in), Global Mapper, and Marble to open .KML files. - The .tfw world file is a text file used to georeference the GeoTIFF raster images, like the orthomosaic and the DSM. You need suitable software like ArcView to open a .TFW file. This dataset provides researchers with sufficient geometric data and the status quo of the land surface at the locations mentioned above. This dataset could streamline researchers' decision-making processes and enhance the design as well.

The Indoor GIS Software market is experiencing robust growth, driven by the increasing need for precise location-based services within enclosed spaces. The market, valued at approximately $1.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated $5 billion by 2033. This expansion is fueled by several key factors. Firstly, the rising adoption of smart buildings and IoT devices provides a wealth of data that Indoor GIS software can effectively leverage for enhanced operational efficiency and improved user experiences. Secondly, the burgeoning e-commerce sector and the consequent demand for optimized warehouse logistics and efficient supply chain management are significantly boosting market demand. Thirdly, the expansion of applications into sectors like healthcare, retail, and security is further diversifying market opportunities. Cloud-based solutions are witnessing higher adoption due to their scalability, cost-effectiveness, and ease of deployment compared to on-premise solutions. However, concerns regarding data security and privacy, as well as the relatively high initial investment costs for implementing Indoor GIS systems, pose challenges to market growth. Segmentation reveals strong demand across various applications. Warehouse logistics and asset management currently dominate the market share due to the clear ROI benefits of improved inventory management and asset tracking. The military and security sectors also present lucrative growth opportunities, driven by the need for sophisticated indoor navigation and situational awareness. Geographically, North America and Europe currently hold the largest market shares, attributed to the high concentration of technologically advanced businesses and early adoption of Indoor GIS technologies. However, Asia-Pacific is expected to show significant growth in the coming years, propelled by rapid urbanization and expanding industrial sectors in countries like China and India. Companies like Mapedin, Esri, and others are key players driving innovation and shaping the competitive landscape. The ongoing development of advanced features such as real-time location tracking, augmented reality integration, and improved data analytics capabilities will further fuel market growth in the coming years.

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What is the GIS In Utility Industry Market Size?

The GIS market in the utility industry size is forecast to increase by USD 3.55 billion at a CAGR of 19.8% between 2023 and 2028. Market expansion hinges on various factors, such as the rising adoption of Geographic Information System (GIS) solutions in the utility sector, the convergence of GIS with Building Information Modeling, and the fusion of Augmented Reality with GIS technology. These elements collectively drive market growth, reflecting advancements in spatial data analytics and technological convergence. The increased adoption of GIS solutions in the utility industry underscores the importance of geospatial data in optimizing infrastructure management. Simultaneously, the integration of GIS with BIM signifies the synergy between spatial and building information for enhanced project planning and management. Additionally, the integration of AR with GIS technology highlights the potential for interactive and interactive visualization experiences in spatial data analysis. Thus, the interplay of these factors delineates the landscape for the anticipated expansion of the market catering to GIS and related technologies.

What will be the size of Market during the forecast period?

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Market Segmentation

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

Product

  Software
  Data
  Services


Deployment

  On-premises
  Cloud


Geography

  North America

    Canada
    US


  Europe

    Germany
    France


  APAC

    China
    India
    Japan


  Middle East and Africa



  South America

    Brazil

Which is the largest segment driving market growth?

The software segment is estimated to witness significant growth during the forecast period. In the utility industry, the spatial context of geographic information systems (GIS) plays a pivotal role in site selection, land acquisition, planning, designing, visualizing, building, and project management. Utilities, including electricity, gas, water, and telecommunications providers, leverage GIS software to efficiently manage their assets and infrastructure. This technology enables the collection, management, analysis, and visualization of geospatial data, derived from satellite imaging, aerial photography, remote sensors, and artificial intelligence. Geospatial AI, sensor technology, and digital reality solutions are integral components of GIS, enhancing capabilities for smart city planning, urban planning, water management, mapping systems, grid modernization, transportation, and green buildings.

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The software segment was valued at USD 541.50 million in 2018. Moreover, the geospatial industry continues to evolve, with startups and software solutions driving innovation in hardware, smart city planning, land use management, smart infrastructure planning, and smart utilities. GIS solutions facilitate 4D visualization, enabling stakeholders to overcome geospatial data barriers and make informed decisions. The utility industry's reliance on GIS extends to building information modeling, augmented reality, and smart urban planning, ultimately contributing to the growth of the geospatial technology market.

Which region is leading the market?

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North America is estimated to contribute 37% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

How do company ranking index and market positioning come to your aid?

Companies are implementing various strategies, such as strategic alliances, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the market.

AABSyS IT Pvt. Ltd. - The company offers GIS solutions such as remote sensing and computer aided design and drafting solutions for electric and gas utility.

Technavio provides the ranking index for the top 20 companies along with insights on the market positioning of:

AABSyS IT Pvt. Ltd.
Autodesk Inc.
Avineon Inc.
Bentley Systems Inc.
Blue Marble Geographics
Cadcorp Ltd.
Caliper Corp.
Environmental Systems Research Institute Inc.
General Electric Co.
Hexagon AB
Mapbox Inc.
Maxar Technologies Inc.
Mobile GIS Services Ltd.
NV5 Global Inc.
Orbital Insight Inc.
Pitney Bowes Inc.
Schneider Electric SE
SuperMap Software Co. Ltd.
Trimble Inc.
VertiGIS Ltd.

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How can Technavio assist you in ma

Our Co-design team is from the University of Texas, working on a Department of Energy-funded project focused on the Beaumont-Port Arthur area. As part of this project, we will be developing climate-resilient design solutions for areas of the region. More on www.caee.utexas.edu. We used a DJI Mavic 2 Pro to capture aerial photos in Beaumont-Port Arthur, TX, in February 2023, including: I. Beaumont Soccer Club II. Corps’ Port Arthur Resident Office III. Halbouty Pump Station comprises its vicinity IV. Lamar University (Including Exxon Power Plants close to Lamar Univ.) V. MLK Boulevard for aerial images of the industry and the ship channel VI. Salt Water Barrier (include some aerial images about the Big Thicket) Aerial photos taken were through DroneDeploy autonomous flight, and models were processed through the DroneDeploy engine as well. All aerial photos are in .JPG format and contained in zipped files for each location. The processed data package including 3D models, geospatial data, mappings, point clouds, and the animation video of Halbouty Pump Station has various file types: - The Adobe Suite gives you great software to open .Tif files. - You can use LASUtility (Windows), ESRI ArcGIS Pro (Windows), or Blaze3D (Windows, Linux) to open a LAS file and view the data it contains. - Open an .OBJ file with a large number of free and commercial applications. Some examples include Microsoft 3D Builder, Apple Preview, Blender, and Autodesk. - You may use ArcGIS, Merkaartor, Blender (with the Google Earth Importer plug-in), Global Mapper, and Marble to open .KML files. - The .tfw world file is a text file used to georeference the GeoTIFF raster images, like the orthomosaic and the DSM. You need suitable software like ArcView to open a .TFW file. This dataset provides researchers with sufficient geometric data and the status quo of the land surface at the locations mentioned above. This dataset could streamline researchers' decision-making processes and enhance the design as well. In October 2023, we had our follow-up data collection, including: I. Beaumont Soccer Club II. Shipping and Receiving Center at Lamar University After the aerial collection, we obtained aerial photos of those two locations mentioned above, as well as processed data (such as point clouds and models).

The global Navigation Electronic Map market is experiencing robust growth, projected to reach a market size of $14,750 million in 2025. While the exact CAGR isn't provided, considering the rapid advancements in technology, increasing adoption of GPS-enabled devices, and the expanding use of navigation systems across personal, commercial, and military sectors, a conservative estimate of the CAGR between 2025 and 2033 would be around 8%. This translates to substantial market expansion over the forecast period. Key drivers include the proliferation of smartphones with integrated navigation capabilities, the rising demand for precise location-based services, and the increasing sophistication of mapping technologies, such as the transition from 2D to 3D mapping. The market is segmented by map type (2D and 3D) and application (personal, commercial, and military). The commercial segment is expected to dominate due to its widespread use in logistics, fleet management, and ride-sharing services. Growth is further fueled by the integration of navigation maps with augmented reality (AR) and artificial intelligence (AI) to enhance user experience. However, factors such as data security concerns, licensing costs, and the need for continuous map updates pose challenges to the market's growth. The competitive landscape is marked by a mix of established players like Google, TomTom, and HERE, and regional players catering to specific geographic needs. Geographical expansion, particularly in emerging economies with increasing smartphone penetration, presents significant opportunities for market expansion. The market's strong growth is fueled by several factors. The integration of advanced features like real-time traffic updates, voice guidance, and offline map access significantly enhances user experience and drives adoption. The increasing use of navigation systems in autonomous vehicles is also a significant factor driving market expansion. The commercial sector, encompassing logistics, transportation, and delivery services, shows high growth potential due to the need for efficient route optimization and fleet management. Government initiatives promoting smart city development and infrastructure projects also contribute positively. Furthermore, continuous innovations in mapping technologies, such as high-resolution satellite imagery and improved data processing techniques, ensure the continued relevance and sophistication of navigation electronic maps. The competitive landscape is dynamic, with companies focusing on developing advanced features, strategic partnerships, and geographic expansion to secure market share.

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GIS Market Size 2025-2029

The GIS market size is forecast to increase by USD 24.07 billion at a CAGR of 20.3% between 2024 and 2029.

The Global Geographic Information System (GIS) market is experiencing significant growth due to the integration of Building Information Modeling (BIM) software and GIS, enabling more accurate and efficient construction projects. The increasing adoption of GIS solutions in precision farming for soil and water management is another key trend, with farmers utilizing sensors, GPS, and satellite data to optimize fertilizer usage and crop yields. However, challenges persist, such as the lack of proper planning leading to implementation failures of GIS solutions. In the realm of smart cities, GIS plays a crucial role in managing data from various sources, including LIDAR, computer-aided design, and digital twin technologies. Additionally, public safety and insurance industries are leveraging GIS for server-based data analysis, while smartphones and antennas facilitate real-time data collection. Amidst this digital transformation, ensuring data security and privacy becomes paramount, making it a critical consideration for market participants.

What will be the Size of the GIS Market During the Forecast Period?

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The Global Geographic Information System (GIS) market encompasses a range of software solutions and hardware components used to capture, manage, analyze, and visualize geospatial data. Key industries driving market growth include transportation, smart city planning, green buildings, architecture and construction, utilities, oil and gas, agriculture, and urbanization. GIS technology plays a pivotal role in various applications such as 4D GIS software for infrastructure project management, augmented reality platforms for enhanced visualization, and LIDAR and GNSS/GPS antenna for accurate location data collection. Cloud technology is transforming the GIS landscape by enabling real-time data access and collaboration. The transportation sector is leveraging GIS for route optimization, asset management, and predictive maintenance.
Urbanization and population growth are fueling the demand for GIS in city planning and disaster management. Additionally, GIS is increasingly being adopted in sectors like agriculture for precision farming and soil mapping, and in the construction industry for Building Information Modeling (BIM). The market is also witnessing the emergence of innovative applications in areas such as video games and natural disasters risk assessment. Mobile devices are further expanding the reach of GIS, making it accessible to a wider audience. Overall, the market is poised for significant growth, driven by the increasing need for data-driven decision-making and the integration of geospatial technology into various industries.

How is this GIS Industry segmented and which is the largest segment?

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

Product

  Software
  Data
  Services


Type

  Telematics and navigation
  Mapping
  Surveying
  Location-based services


Device

  Desktop
  Mobile


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France


  APAC

    China
    Japan
    South Korea


  South America

    Brazil


  Middle East and Africa

By Product Insights

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

The market encompasses desktop, mobile, cloud, and server software solutions, catering to various industries. Open-source software with limited features poses a challenge due to the prevalence of counterfeit products. Yet, the market witnesses an emerging trend toward cloud-based GIS software adoption. However, standardization and interoperability concerns hinder widespread adoption. Geospatial technology is utilized extensively in sectors such as Transportation, Utilities, Oil and Gas, Agriculture, and Urbanization, driven by population growth, urban planning, and sustainable development. Key applications include smart city planning, green buildings, BIM, 4D GIS software, augmented reality platforms, GIS collectors, LIDAR, and GNSS/GPS antennas. Cloud technology, mobile devices, and satellite imaging are critical enablers.

Get a glance at the GIS Industry report of share of various segments Request Free Sample

The software segment was valued at USD 5.06 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 38% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during th

The second Prototype made and the one we are currently using in City Engine to create a Virtual Reality building interior space. We completed this using the editor tool and matched the new polygons to the floor plan. Made By Eric Quinn and Tyler LaMantiaSupervising Professor Dr Gary Coutu, West Chester University

The Southeast Texas Urban Integrated field lab’s Co-design team captured aerial photos in the Port Arthur Coastal Neighborhood Community and the Golf Course on Pleasure Island, Texas, in June 2024. Aerial photos taken were through autonomous flight, and models were processed through the DroneDeploy engine. All aerial photos are in .JPG format and contained in zipped files for each area. The processed data package includes 3D models, geospatial data, mappings, and point clouds. Please be aware that DTM, Elevation toolbox, Point Cloud, and Orthomosaic use EPSG: 6588. And 3D Model uses EPSG: 3857. For using these data: - The Adobe Suite gives you great software to open .Tif files. - You can use LASUtility (Windows), ESRI ArcGIS Pro (Windows), or Blaze3D (Windows, Linux) to open a LAS file and view the data it contains. - Open an .OBJ file with a large number of free and commercial applications. Some examples include Microsoft 3D Builder, Apple Preview, Blender, and Autodesk. - You may use ArcGIS, Merkaartor, Blender (with the Google Earth Importer plug-in), Global Mapper, and Marble to open .KML files. - The .tfw world file is a text file used to georeference the GeoTIFF raster images, like the orthomosaic and the DSM. You need suitable software like ArcView to open a .TFW file. This dataset provides researchers with sufficient geometric data and the status quo of the land surface at the locations mentioned above. This dataset will support researchers' decision-making processes under uncertainties.

According to Cognitive Market Research, The Global Digital Mapping Cameras market size is USD 248.2 million in 2023 and will expand at a compound annual growth rate (CAGR) of 2.50% from 2023 to 2030.

North America Digital Mapping Cameras held the major market of more than 40% of the global revenue with market size of USD 0.10 million in 2023 and will grow at a compound yearly growth rate (CAGR) of 0.7% from 2023 to 2030.
Europe Digital Mapping Cameras accounted for a share of over 30% of the global market size of USD 0.07 million in 2023.
Asia Pacific Digital Mapping Cameras held the market of more than 23% of the global revenue with a market size of USD 0.06 million in 2023 and will rise at a compound yearly growth rate (CAGR) of 4.5% from 2023 to 2030.
South America Digital Mapping Cameras market has more than 5% of the global revenue with a market size of USD 0.01 million in 2023 and will rise at a compound yearly growth rate (CAGR) of 1.9% from 2023 to 2030.
Middle East and Africa Digital Mapping Cameras held the major market of more than 2% of the global revenue with market size of USD XX million in 2023 and will rise at a compound yearly growth rate (CAGR) of 2.2% from 2023 to 2030.
The demand for Digital Mapping cameras is rising due to the escalating demand for accurate and high-resolution geospatial.
Demand for manned aircraft remains higher in the Digital Mapping Cameras market.
The area arrays category held the highest Digital Mapping Cameras market revenue share in 2023.

Escalating Demand for Accurate and High-Resolution Geospatial to Provide Viable Market Output

The surging demand for accurate and high-resolution geospatial data across different industries, including agriculture, urban planning, and environmental monitoring, is driving market growth. The rising adoption of advanced mapping technologies for applications like smart cities, autonomous vehicles, and infrastructure development is boosting the need for sophisticated digital mapping cameras. Furthermore, the integration of AI and ML in digital mapping processes is improving the capabilities of these cameras, driving market expansion.

For instance, in September 2023, Microsoft and Bentley Systems announced a partnership to develop digital twins of infrastructure projects. This partnership will leverage the Azure cloud platform of Microsoft and expertise in infrastructure modeling of Bentley Systems to generate more precise and useful digital twins.

(Source: www.microsoft.com/en-in/about/)

Advancements in the Augmented Reality (AR) and Virtual Reality (VR) Technologies to Propel Market Growth

Advancements in AR and VR technologies are fuelling the digital mapping cameras market by increasing the demand for high-quality and immersive spatial data. Digital mapping cameras play an important role in capturing the detailed visual information required for generating realistic AR and VR environments, improving the overall user experience. The integration of accurate geospatial data from these cameras allows more accurate alignment of virtual content with the real-world environment, expanding the applications of AR and VR across industries like navigation, gaming, and training simulations.

For instance, in June 2023, Esri, a leading provider of geographic information systems (GIS) software, acquired CityGIS, a company specializing in 3D city modeling software, in order to allow Esri to provide a more comprehensive suite of solutions for urban planning and management.

(Source: www.esri.com/en-us/home)

Market Restraints of the Digital Mapping Cameras

High Initial Costs of Acquisition and Implementation to Restrict Market Growth

The high initial costs associated to acquiring and implementing advanced mapping camera technologies act as a significant barrier to entry for several businesses and organizations, mainly smaller ones with constrained budgets. This financial hurdle limits the broad adoption of digital mapping cameras, hindering their integration into different industries and applications. The reluctance to invest in these technologies because of their upfront expenses can impede the overall growth potential of the market.

Impact of COVID-19 on the Digital Mapping Cameras Market

The COVID-19 pandemic had a mixed effect on the Digital Mapping Cameras market. The global lockdowns and restrictions hampered manufacturing and disrupted supply chains, resu...

The 2001 Madera County land use survey data set was developed by DWR through its Division of Planning and Local Assistance (DPLA). The data was gathered using aerial photography and extensive field visits, the land use boundaries and attributes were digitized, and the resultant data went through standard quality control procedures before finalizing. The land uses that were gathered were detailed agricultural land uses, and lesser detailed urban and native vegetation land uses. The data was gathered and digitized by staff of DWR’s San Joaquin District. Quality control procedures were performed jointly by staff at DWR’s DPLA headquarters and San Joaquin District. The finalized data include a shapefile of western Madera County (land use vector data), and JPEG files (raster data from aerial imagery). In May 2013, errors in acreage calculations were found in the original finalized data. The “Calculated Geometry” function of ArcGIS was used to correct the errors. The name of the original shapefile was 01ma.shp. The name of the revised shapefile is 01ma_v2.shp. Important Points about Using this Data Set: 1. The land use boundaries were drawn on-screen using developed photoquads. They were drawn to depict observable areas of the same land use. They were not drawn to represent legal parcel (ownership) boundaries, or meant to be used as parcel boundaries. 2. This survey was a "snapshot" in time. The indicated land use attributes of each delineated area (polygon) were based upon what the surveyor saw in the field at that time, and, to an extent possible, whatever additional information the aerial photography might provide. For example, the surveyor might have seen a cropped field in the photograph, and the field visit showed a field of corn, so the field was given a corn attribute. In another field, the photograph might have shown a crop that was golden in color (indicating grain prior to harvest), and the field visit showed newly planted corn. This field would be given an attribute showing a double crop, grain followed by corn. The DWR land use attribute structure allows for up to three crops per delineated area (polygon). In the cases where there were crops grown before the survey took place, the surveyor may or may not have been able to detect them from the field or the photographs. For crops planted after the survey date, the surveyor could not account for these crops. Thus, although the data is very accurate for that point in time, it may not be an accurate determination of what was grown in the fields for the whole year. If the area being surveyed does have double or multicropping systems, it is likely that there are more crops grown than could be surveyed with a "snapshot". 3. If the data is to be brought into a GIS for analysis of cropped (or planted) acreage, two things must be understood: a. The acreage of each field delineated is the gross area of the field. The amount of actual planted and irrigated acreage will always be less than the gross acreage, because of ditches, farm roads, other roads, farmsteads, etc. Thus, a delineated corn field may have a GIS calculated acreage of 40 acres but will have a smaller cropped (or net) acreage, maybe 38 acres. b. Double and multicropping must be taken into account. A delineated field of 40 acres might have been cropped first with grain, then with corn, and coded as such. To estimate actual cropped acres, the two crops are added together (38 acres of grain and 38 acres of corn) which results in a total of 76 acres of net crop (or planted) acres. 4. If the data is compared to the previous digital survey (i.e. the two coverages intersected for change detection determination), there will be land use changes that may be unexpected. The linework was created independently, so even if a field’s physical boundary hasn’t changed between surveys, the lines may differ due to difference in digitizing. Numerous thin polygons (with very little area) will result. A result could be UV1 (paved roads) to F1 (cotton). In reality, paved roads are not converted to cotton fields, but these small polygons would be created due to the differences in digitizing the linework for each survey. Additionally, this kind of comparison may yield polygons of significant size with unexpected changes. These changes will almost always involve non-cropped land, mainly U (urban), UR1 (single family homes on 1 – 5 acres), UV (urban vacant), NV (native vegetation), and I1 (land not cropped that year, but cropped within the past three years). The unexpected results (such as U to NV, or UR1 to NV) occur mainly because of interpretation of those non-cropped land uses with aerial imagery. Newer surveys or well funded surveys have had the advantage of using improved quality (higher resolution) imagery or additional labor, where more accurate identification of land use is possible, and more accurate linework is created. For example, an older survey may have a large polygon identified as UR, where the actual land use was a mixture of houses and vacant land. A newer survey may have, for that same area, delineated separately those land uses into smaller polygons. The result of an intersection would include changes from UR to UV (which is normally an unlikely change). It is important to understand that the main purpose of DWR performing land use surveys is to aid in development of agricultural water use data. Thus, given our goals and budget, our emphasis is on obtaining accurate agricultural land uses with less emphasis on obtaining accurate non-agricultural land uses (urban and native areas). 5. Water source information was not collected for this survey. 6. Not all land use codes will be represented in the survey.

This layer is a subset of World Populated Footprint in 2020 Tile Image Layer.This layer represents an estimate of the footprint of human settlement in 2020. It is intended as a fast-drawing cartographic layer to augment base maps and to focus a map reader's attention on the location of human population. This layer is not intended for analysis.This layer was derived from the 2020 slice of the WorldPop Population Density 2000-2020 100m and 1km layers. WorldPop modeled this population footprint based on imagery datasets and population data from national statistical organizations and the United Nations. Zooming in to very large scales will often show discrepancies between reality and this or any model. Like all data sources imagery and population counts are subject to many types of error, thus this gridded footprint contains errors of omission and commission. The imagery base maps available in ArcGIS Online were not used in WorldPop's model. Imagery only informs the model of characteristics that indicate a potential for settlement, and cannot intrinsically indicate whether any or how many people live in a building. Also see the Urban Density Footprint layer, which like this layer, is intended to provide a fast-drawing cartographic context for urban populations.The following processing steps were used to produce this layer in ArcGIS Pro:1. Int tool (Spatial Analyst) to truncate double precision values; all values less than 0.99 become 0.2. Reclassify tool (Spatial Analyst) to set values 0 through 14 to NoData (Null) and all other values become 1. The figure of 14 was empirically derived as a good balance between reducing errors of commission, i.e., false-positive cells with lower values, while not introducing errors of omission by eliminating obviously populated cells.3. Copy Raster tool with Output Coordinate System environment set to Web Mercator, bit depth to 1 bit, and NoData Value to 0.Source:WorldPop Population Density 2000-2020 100m, which is created from WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation. The DOI for the original WorldPop.org total population population data is 10.5258/SOTON/WP00645.

Climate-GIS Västernorrland is intended to be a map service where the County Administrative Board publishes and visualises different types of climate-related planning documents regarding Västernorrland County. The documentation consists of the results of various analyses carried out by national actors and by the County Administrative Board in Västernorrland. With the help of this map service, you can find information for a specific location in the county. The service also includes tools for drawing, sharing and printing your own maps. As new material is produced, it is published here and information about the material is posted on the County Administrative Board’s website. In addition, information is sent to contact persons for climate change adaptation in the county. The map service contains the following geodata: The low points and runways of the Skyfall mapping per municipality within the county. Flood mapping for specific watercourses. SGU Prerequisites for screed in fine-grained soils (WMS service) SGU Skreddatabas(slide, race and other earth movements(WMS service) SMHI, Climate series, hydrology SMHI, Climate, Meteorology LST SMHI Climate series, meteorology expanded snow indicators SGU Earth species Earthslides and ravines (WMS service) SGU Earth species 1:25 000-1:100,000 (WMS service) SGU Earth species 1:200,000, Medelpad (WMS service) SGU Earth species 1:1 million (WMS service) Note that the limits of the map layers you see in the map service may differ from what it looks like in reality. To get more information about the boundaries of each map layer, we would like to refer to the descriptive information (metadata) available for each map layer. Metadata can be found in the County Administrative Boards’ geodata directory, search the map warehouse name.

Market Size and Drivers: The global Mobile GIS market is anticipated to witness a significant growth, reaching a market size of XXX million by 2033, expanding at a CAGR of XX% during the forecast period (2025-2033). The increasing adoption of mobile devices, advancements in cloud computing, and the need for real-time location data for decision-making are driving market growth. Governments and enterprises are leveraging Mobile GIS for various applications, including disaster management, asset tracking, resource planning, and customer service. Trends and Restraints: Key trends influencing the Mobile GIS market include the adoption of augmented reality (AR) and virtual reality (VR), the integration of artificial intelligence (AI) for data analysis, and the development of low-cost, high-accuracy mobile devices. However, factors such as data security concerns, device compatibility issues, and the need for robust infrastructure can restrain market growth. Additionally, the market is segmented based on type (on-premise, on-cloud), application (government, enterprises, others), and region. Major players in the market include ESRI, Google Maps, Bing Maps, SuperMap, Zondy Crber, GeoStar, Hexagon Geospatial, CARTO, GIS Cloud, and others.

Building rooftop outlines for all significant structures in the City of Waterloo, represented by polygons. Areas for ancillary structures such as decks are not represented. The polygons are intended to be used as base data, and to represent the approximate generalised outline of the building. Note that the roofline may not match the footprint on the ground. Polygons were initially created based on aerial photgraphy from 2000, and have since been maintained based on more recent aerial orthophotography from multiple years (particularly 2016, 2014, 2012, and 2009). Updated polygons (edited in 2013/2014) have been digitised at a scale of 1:250. Updated polygons are much improved, and should have square corners (unless that wouldn't reflect reality). Other sources such as building cad drawings have been used where available. Updates will continue until all polygons have been reviewed, and will then be maintained as new orthophotography is received, and as permits are issued (particularly demolition permits).

This layer is a subset of Populated Footprint in 2020 Global Coverage for the Pacific Region. This layer represents an estimate of the footprint of human settlement in 2020. It is intended as a fast-drawing cartographic layer to augment base maps and to focus a map reader's attention on the location of human population. This layer is not intended for analysis.This layer was derived from the 2020 slice of the WorldPop Population Density 2000-2020 100m and 1km layers. WorldPop modeled this population footprint based on imagery datasets and population data from national statistical organizations and the United Nations. Zooming in to very large scales will often show discrepancies between reality and this or any model. Like all data sources imagery and population counts are subject to many types of error, thus this gridded footprint contains errors of omission and commission. The imagery base maps available in ArcGIS Online were not used in WorldPop's model. Imagery only informs the model of characteristics that indicate a potential for settlement, and cannot intrinsically indicate whether any or how many people live in a building. Also see the Urban Density Footprint layer, which like this layer, is intended to provide a fast-drawing cartographic context for urban populations.The following processing steps were used to produce this layer in ArcGIS Pro:1. Int tool (Spatial Analyst) to truncate double precision values; all values less than 0.99 become 0.2. Reclassify tool (Spatial Analyst) to set values 0 through 14 to NoData (Null) and all other values become 1. The figure of 14 was empirically derived as a good balance between reducing errors of commission, i.e., false-positive cells with lower values, while not introducing errors of omission by eliminating obviously populated cells.3. Copy Raster tool with Output Coordinate System environment set to Web Mercator, bit depth to 1 bit, and NoData Value to 0.Source:WorldPop Population Density 2000-2020 100m, which is created from WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation. The DOI for the original WorldPop.org total population population data is 10.5258/SOTON/WP00645.

This dataset is a subset (containing records of the dams present in the state of Florida) of The National Inventory of Dams. Congress first authorized the US Army Corps of Engineers to inventory dams in the United States with the National Dam Inspection Act (Public Law 92-367) of 1972. The NID was first published in 1975, with a few updates as resources permitted over the next ten years. The Water Resources Development Act of 1986 (P.L. 99-662) authorized the Corps to maintain and periodically publish an updated NID, with re-authorization and a dedicated funding source provided under the Water Resources Development Act of 1996 (P.L. 104-3). The Corps also began close collaboration with the Federal Emergency Management Agency (FEMA) and state regulatory offices to obtain more accurate and complete information. The National Dam Safety and Security Act of 2002 (P.L. 107-310) reauthorized the National Dam Safety Program and included the maintenance and update of the NID by the Corps of Engineers. The most recent Dam Safety Act of 2006 reauthorized the maintenance and update of the NID. The NID consists of dams meeting at least one of the following criteria; 1) High hazard classification - loss of one human life is likely if the dam fails, 2) Significant hazard classification - possible loss of human life and likely significant property or environmental destruction, 3) Equal or exceed 25 feet in height and exceed 15 acre-feet in storage, 4) Equal or exceed 50 acre-feet storage and exceed 6 feet in height. The goal of the NID is to include all dams in the U.S. that meet these criteria, yet in reality, is limited to information that can be gathered and properly interpreted with the given funding. The Inventory initially consisted of approximately 45,000 dams, which were gathered from extensive record searches and some feature extraction from aerial imagery. Since continued and methodical updates have been conducted, data collection has been focused on the most reliable data sources, which are the various federal and state government dam construction and regulation offices. In most cases, dams within the NID criteria are regulated (construction permit, inspection, and/or enforcement) by federal or state agencies, who have basic information on the dams within their jurisdiction. Therein lies the biggest challenge, and most of the effort to maintain the NID; periodic collection of dam characteristics from 49 states (Alabama currently has no dam safety legislation or formal dam safety program), Puerto Rico, and 18 federal offices. The Corps resolves duplicative and conflicting data from the 68 data sources, which helps obtain the more complete, accurate, and updated NID.

The Stream Environment Zone (SEZ) map for the Lake Tahoe Basin was created by compiling the best available information on hydrological features in the Basin, including a wetlands map created from high-resolution LiDAR and imagery, thematic layers for riparian vegetation, fens, and seeps\springs from the U.S. Forest Service, soils from the U.S. Natural Resources Conservation Service (SSURGO), and 100-year flood zones (FEMA). These layers capture specific elements of the intended classification and also leverage resources previously committed to mapping projects in the Lake Tahoe Basin. All pertinent layers were compiled into a single, seamless map using eCognition (Trimble), state-of-the-art image classification software that permits efficient and rapid analysis of large volumes of data in multiple formats, including multispectral imagery, LiDAR, and thematic GIS datasets. This functionality was especially helpful in refining the initial SEZ map, permitting spectral classification of available WorldView-2 imagery (leaf on, acquired in 2010) when the thematic datasets could not capture individual classes in their entirety and also facilitating smoothing of the final product. The SEZ classification was designed with 7 primary classes: Fens, Forested, Freshwater Estuarine, Lacustrine, Meadows, Riverine, and Seeps\Springs. Two classes were further divided into sub-categories: Lacustrine into permanent water bodies (Lakes and Ponds) and beaches along Lake Tahoe (Lake Tahoe Beaches); and Riverine into several channel types (Confined Channel vs. Unconfined Channel). Note, however, that no systematic, reliable criteria could be identified for differentiating Unconfined Channels from other riparian classes (e.g., Meadows and Forested), so this class was not used in the final classification.Note that the SEZ classes should be considered potentialaquatic features; because some of the features were developed from soils and LiDAR-derived topographical and hydrological models, they do not necessarily reflect actual land-use conditions. This reality is particularly evident in the Forested class, which encompasses developed land uses (e.g., roads, buildings) south of Lake Tahoe and in other suburbanized parts of the basin.