GapMaps GIS Data by Azira uses location data on mobile phones sourced by Azira which is collected from smartphone apps when the users have given their permission to track their location. It can shed light on consumer visitation patterns (“where from” and “where to”), frequency of visits, profiles of consumers and much more.
Businesses can utilise GIS data to answer key questions including:
- What is the demographic profile of customers visiting my locations?
- What is my primary catchment? And where within that catchment do most of my customers travel from to reach my locations?
- What points of interest drive customers to my locations (ie. work, shopping, recreation, hotel or education facilities that are in the area) ?
- How far do customers travel to visit my locations?
- Where are the potential gaps in my store network for new developments?
- What is the sales impact on an existing store if a new store is opened nearby?
- Is my marketing strategy targeted to the right audience?
- Where are my competitor's customers coming from?
Mobile Location data provides a range of benefits that make it a valuable GIS Data source for location intelligence services including: - Real-time - Low-cost at high scale - Accurate - Flexible - Non-proprietary - Empirical
Azira have created robust screening methods to evaluate the quality of Mobile location data collected from multiple sources to ensure that their data lake contains only the highest-quality mobile location data.
This includes partnering with trusted location SDK providers that get proper end user consent to track their location when they download an application, can detect device movement/visits and use GPS to determine location co-ordinates.
Data received from partners is put through Azira's data quality algorithm discarding data points that receive a low quality score.
Use cases in Europe will be considered on a case to case basis.
Homeland Infrastructure Foundation-Level Data (HIFLD) geospatial data sets containing information on Mobile Home Parks.
SPR Recreation Division programming locations including Rec'N the Streets Mobile Recreation, Park Ambassadors, Summer Lunch & Playground, and others. In response to the COVID-19 pandemic, Recreation Division programming continues to offer outdoor opportunities to recreate under existing safety precautions. The mission of Rec'N the Streets in particular is: everyone should have access to recreation in their communities; for those in areas with health disparities and no access to these activities, we bring the recreation to them.Refresh Cycle: DailyFeature Class: DPR.MobileRec_PT
GapMaps GIS Data by Azira provides actionable insights on consumer travel patterns at a global scale empowering Marketing and Operational Leaders to confidently reach, understand, and market to highly targeted audiences and optimize their business results.
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The global GIS data collector market is experiencing robust growth, driven by increasing adoption of precision agriculture, expanding infrastructure development projects, and the rising demand for accurate geospatial data across various industries. The market, estimated at $2.5 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033, reaching approximately $4.2 billion by 2033. Key drivers include the increasing availability of affordable and high-precision GPS technology, coupled with advancements in data processing and cloud-based solutions. The integration of GIS data collectors with other technologies, such as drones and IoT sensors, is further fueling market expansion. The demand for high-precision GIS data collectors is particularly strong in sectors like surveying, mapping, and construction, where accuracy is paramount. While the market faces challenges such as high initial investment costs and the need for specialized expertise, the overall growth trajectory remains positive. The market is segmented by application (agriculture, industrial, forestry, and others) and by type (general precision and high precision). North America and Europe currently hold significant market shares, but the Asia-Pacific region is anticipated to experience rapid growth in the coming years due to substantial infrastructure development and increasing government investments in geospatial technologies. The competitive landscape is characterized by both established players like Trimble, Garmin, and Hexagon (Leica Geosystems) and emerging companies offering innovative solutions. These companies are constantly innovating, integrating advanced technologies like AI and machine learning to enhance data collection and analysis capabilities. This competition is driving down prices and improving product quality, benefiting end-users. The increasing use of mobile GIS and cloud-based data management solutions is also transforming the industry, making data collection and analysis more accessible and efficient. Future growth will be largely influenced by the advancement of 5G networks, enabling faster data transmission and real-time applications, and the increasing adoption of automation and AI in data processing workflows. Furthermore, government regulations promoting the use of accurate geospatial data for sustainable development and environmental monitoring are creating new opportunities for the market’s expansion.
Detailed, building -specific assessment of indoor mobile signal strength and propagation across all licensed mobile operators in a given country. Signal values are provided for each H3-12 hexagon inside the building (resolution approx. 20 x 20 meters). The data is presented in GIS-compatible formats such as gpkg and geojson. The data is obtained using crowdsourced data and advanced geo-spatial algorithms and includes data on the presence of indoor coverage systems. This data can be purchased on a building-by-building basis
Typical data use cases are in the following sectors: - B2B telecommunications: assess indoor coverage quality to optimise deployment of mobile-dependent network services (e.g. SD-WAN, mobile backup, etc..). - Mobile telecoms: Mobile operators and indoor coverage solution providers (e.g. DAS providers) can use this data to identify buildings and building owners for the deployment of indoor coverage systems - Commercial real estate and property: ascertain the quality of indoor mobile coverage to ensure that tenants can actually conduct business in your premises
These data were automated to provide an accurate high-resolution historical shoreline of North Of Mobile Bay, Alabama suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808
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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.
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The global GIS Data Collector market size is anticipated to grow from USD 4.5 billion in 2023 to approximately USD 12.3 billion by 2032, at a compound annual growth rate (CAGR) of 11.6%. The growth of this market is largely driven by the increasing adoption of GIS technology across various industries, advances in technology, and the need for effective spatial data management.
An important factor contributing to the growth of the GIS Data Collector market is the rising demand for geospatial information across different sectors such as agriculture, construction, and transportation. The integration of advanced technologies like IoT and AI with GIS systems enables the collection and analysis of real-time data, which is crucial for effective decision-making. The increasing awareness about the benefits of GIS technology and the growing need for efficient land management are also fuelling market growth.
The government sector plays a significant role in the expansion of the GIS Data Collector market. Governments worldwide are investing heavily in GIS technology for urban planning, disaster management, and environmental monitoring. These investments are driven by the need for accurate and timely spatial data to address critical issues such as climate change, urbanization, and resource management. Moreover, regulatory policies mandating the use of GIS technology for infrastructure development and environmental conservation are further propelling market growth.
Another major growth factor in the GIS Data Collector market is the continuous technological advancements in GIS software and hardware. The development of user-friendly and cost-effective GIS solutions has made it easier for organizations to adopt and integrate GIS technology into their operations. Additionally, the proliferation of mobile GIS applications has enabled field data collection in remote areas, thus expanding the scope of GIS technology. The advent of cloud computing has further revolutionized the GIS market by offering scalable and flexible solutions for spatial data management.
Regionally, North America holds the largest share of the GIS Data Collector market, driven by the presence of key market players, advanced technological infrastructure, and high adoption rates of GIS technology across various industries. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, primarily due to rapid urbanization, government initiatives promoting GIS adoption, and increasing investments in smart city projects. Other regions such as Europe, Latin America, and the Middle East & Africa are also experiencing significant growth in the GIS Data Collector market, thanks to increasing awareness and adoption of GIS technology.
The role of a GPS Field Controller is becoming increasingly pivotal in the GIS Data Collector market. These devices are essential for ensuring that data collected in the field is accurate and reliable. By providing real-time positioning data, GPS Field Controllers enable precise mapping and spatial analysis, which are critical for applications such as urban planning, agriculture, and transportation. The integration of GPS technology with GIS systems allows for seamless data synchronization and enhances the efficiency of data collection processes. As the demand for real-time spatial data continues to grow, the importance of GPS Field Controllers in the GIS ecosystem is expected to rise, driving further innovations and advancements in this segment.
The GIS Data Collector market is segmented by component into hardware, software, and services. Each of these components plays a crucial role in the overall functionality and effectiveness of GIS systems. The hardware segment includes devices such as GPS units, laser rangefinders, and mobile GIS devices used for field data collection. The software segment encompasses various GIS applications and platforms used for data analysis, mapping, and visualization. The services segment includes consulting, training, maintenance, and support services provided by GIS vendors and solution providers.
In the hardware segment, the demand for advanced GPS units and mobile GIS devices is increasing, driven by the need for accurate and real-time spatial data collection. These devices are equipped with high-precision sensors and advanced features such as real-time kinematic (RTK) positioning, which enhance
Point geometry with attributes displaying mobile home parks in East Baton Rouge Parish, Louisiana.Metadata
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Cleaned dataset for the Pharos application 2023-2024 data collection period (May 2023-March 2024). This dataset includes the full recurring network measurement (RNM), landmark (LM) datasets, as well as the county geographies used for the study catchment area. Also included in this dataset are a text document containing the necessary requirements, as well as python script to clean and visualize the collected data replicating the methods used in our published analysis.
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License information was derived automatically
The Mobile Home Parks feature class/shapefile contains locations that represent mobile home, residential trailer, and recreational vehicle (RV) parks within the Continental United States and Alaska. The people residing in these housing types are the most vulnerable residential population to hurricanes, tornadoes, flooding and other natural disasters. According to the U.S. Census Bureau, 31% of the people that perished in tornadoes between 2009 and 2011 were residing in or fleeing from mobile homes. An inventory of mobile home park locations and the number of mobile homes within those parks is, therefore, essential for emergency preparedness, response, and evacuation. In the latest update 2281 records were added.
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The global Geographic Information System (GIS) software market size is projected to grow from USD 9.1 billion in 2023 to USD 18.5 billion by 2032, reflecting a compound annual growth rate (CAGR) of 8.5% over the forecast period. This growth is driven by the increasing application of GIS software across various sectors such as agriculture, construction, transportation, and utilities, along with the rising demand for location-based services and advanced mapping solutions.
One of the primary growth factors for the GIS software market is the widespread adoption of spatial data by various industries to enhance operational efficiency. In agriculture, for instance, GIS software plays a crucial role in precision farming by aiding in crop monitoring, soil analysis, and resource management, thereby optimizing yield and reducing costs. In the construction sector, GIS software is utilized for site selection, design and planning, and infrastructure management, making project execution more efficient and cost-effective.
Additionally, the integration of GIS with emerging technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) is significantly enhancing the capabilities of GIS software. AI-driven data analytics and IoT-enabled sensors provide real-time data, which, when combined with spatial data, results in more accurate and actionable insights. This integration is particularly beneficial in fields like smart city planning, disaster management, and environmental monitoring, further propelling the market growth.
Another significant factor contributing to the market expansion is the increasing government initiatives and investments aimed at improving geospatial infrastructure. Governments worldwide are recognizing the importance of GIS in policy-making, urban planning, and public safety, leading to substantial investments in GIS technologies. For example, the U.S. governmentÂ’s Geospatial Data Act emphasizes the development of a cohesive national geospatial policy, which in turn is expected to create more opportunities for GIS software providers.
Geographic Information System Analytics is becoming increasingly pivotal in transforming raw geospatial data into actionable insights. By employing sophisticated analytical tools, GIS Analytics allows organizations to visualize complex spatial relationships and patterns, enhancing decision-making processes across various sectors. For instance, in urban planning, GIS Analytics can identify optimal locations for new infrastructure projects by analyzing population density, traffic patterns, and environmental constraints. Similarly, in the utility sector, it aids in asset management by predicting maintenance needs and optimizing resource allocation. The ability to integrate GIS Analytics with other data sources, such as demographic and economic data, further amplifies its utility, making it an indispensable tool for strategic planning and operational efficiency.
Regionally, North America holds the largest share of the GIS software market, driven by technological advancements and high adoption rates across various sectors. Europe follows closely, with significant growth attributed to the increasing use of GIS in environmental monitoring and urban planning. The Asia Pacific region is anticipated to witness the highest growth rate during the forecast period, fueled by rapid urbanization, infrastructure development, and government initiatives in countries like China and India.
The GIS software market is segmented into software and services, each playing a vital role in meeting the diverse needs of end-users. The software segment encompasses various types of GIS software, including desktop GIS, web GIS, and mobile GIS. Desktop GIS remains the most widely used, offering comprehensive tools for spatial analysis, data management, and visualization. Web GIS, on the other hand, is gaining traction due to its accessibility and ease of use, allowing users to access GIS capabilities through a web browser without the need for extensive software installations.
Mobile GIS is another crucial aspect of the software segment, providing field-based solutions for data collection, asset management, and real-time decision making. With the increasing use of smartphones and tablets, mobile GIS applications are becoming indispensable for sectors such as utilities, transportation, and
Various telecommunication datasets such as cellphone towers and service areas, land mobile station locations, AM, FM, and TV communication can be downloaded on an FCC page. Additionally, data files can be individually downloaded from the FCC Universal Licensing System data site. This data resource is intended to guide users toward the authoritative data source and to demonstrate at least one translation of that data into a spatial format.
The metadata for this translated dataset is here:
Antenna Structure Registration: antenna_structure_registration_mn.html
In addition, the Department of Homeland Security's Homeland Infrastructure Foundation - Level Data (HIFLD) program has an "Open Data" site, which includes a nationwide dataset on Cellular Towers derived from the FCC Universal Licensing System Database: https://hifld-geoplatform.opendata.arcgis.com/datasets/cellular-towers
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License information was derived automatically
A point feature class containing locations of the Miami-Dade County Public Library System's Bookmobile stops.Updated: Quarterly The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere
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License information was derived automatically
The representation of mobile homes in San Jose, CA.
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It is about updating to GIS information database, Decision Support Tool (DST) in collaboration with IWMI. With the support of the Fish for Livelihoods field team and IPs (MFF, BRAC Myanmar, PACT Myanmar, and KMSS) staff, collection of Global Positioning System GPS location data for year-1 (2019-20) 1,167 SSA farmer ponds, and year-2 (2020-21) 1,485 SSA farmer ponds were completed with different GPS mobile applications: My GPS Coordinates, GPS Status & Toolbox, GPS Essentials, Smart GPS Coordinates Locator and GPS Coordinates. The Soil and Water Assessment Tool (SWAT) model that integrates climate change analysis with water availability will provide an important tool informing decisions on scaling pond adoption. It can also contribute to a Decision Support Tool to better target pond scaling. GIS Data also contribute to identify the location point of the F4L SSA farmers ponds on the Myanmar Map by fiscal year from 1 to 5.
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The global market for GIS Collectors is experiencing robust growth, driven by increasing adoption of location-based services, the expanding need for precise geospatial data across various sectors, and the continuous advancements in mobile technology and data analytics capabilities. The market is segmented by hardware (handheld devices, tablets, drones) and software (field data collection apps, data management software). Key players like Hexagon, Trimble Geospatial, ESRI, Topcon, Handheld, and Wuhan South are actively innovating and expanding their product portfolios to cater to this growing demand. The market's expansion is further fueled by the rising need for efficient asset management, improved infrastructure planning, and precise mapping for various applications such as environmental monitoring, agriculture, and urban planning. Government initiatives promoting digitalization and smart city development are also contributing significantly to the market's growth trajectory. While high initial investment costs for hardware and software can act as a restraint, the long-term benefits in terms of operational efficiency and data accuracy are overcoming this challenge. We project a steady market growth over the forecast period, with a particular emphasis on the increasing penetration of cloud-based solutions and the integration of AI and machine learning for enhanced data processing and analysis. The period between 2019 and 2024 showed significant market expansion, setting a strong foundation for future growth. We estimate the market size in 2025 at $5 billion, based on observed trends and industry reports. This strong base, coupled with a projected Compound Annual Growth Rate (CAGR) of 12%, will drive considerable market expansion throughout the forecast period (2025-2033). The increasing demand across diverse sectors, from precision agriculture to utility management, will continue to be major drivers. Furthermore, the emergence of new technologies such as 5G and IoT will further enhance data collection and processing capabilities, leading to improved efficiencies and a further expansion of the market. The North American and European markets currently hold a significant share, but emerging economies in Asia-Pacific and Latin America are exhibiting accelerated growth potential, making them crucial regions for future expansion.
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The global GIS Data Management market size is projected to grow from USD 12.5 billion in 2023 to USD 25.6 billion by 2032, exhibiting a CAGR of 8.4% during the forecast period. This impressive growth is driven by the increasing adoption of geographic information systems (GIS) across various sectors such as urban planning, disaster management, and agriculture. The rising need for effective data management systems to handle the vast amounts of spatial data generated daily also significantly contributes to the market's expansion.
One of the primary growth factors for the GIS Data Management market is the burgeoning demand for spatial data analytics. Businesses and governments are increasingly leveraging GIS data to make informed decisions and strategize operational efficiencies. With the rapid urbanization and industrialization worldwide, there's an unprecedented need to manage and analyze geographic data to plan infrastructure, monitor environmental changes, and optimize resource allocation. Consequently, the integration of GIS with advanced technologies like artificial intelligence and machine learning is becoming more prominent, further fueling market growth.
Another significant factor propelling the market is the advancement in GIS technology itself. The development of sophisticated software and hardware solutions for GIS data management is making it easier for organizations to capture, store, analyze, and visualize geographic data. Innovations such as 3D GIS, real-time data processing, and cloud-based GIS solutions are transforming the landscape of geographic data management. These advancements are not only enhancing the capabilities of GIS systems but also making them more accessible to a broader range of users, from small enterprises to large governmental agencies.
The growing implementation of GIS in disaster management and emergency response activities is also a critical factor driving market growth. GIS systems play a crucial role in disaster preparedness, response, and recovery by providing accurate and timely geographic data. This data helps in assessing risks, coordinating response activities, and planning resource deployment. With the increasing frequency and intensity of natural disasters, the reliance on GIS data management systems is expected to grow, resulting in higher demand for GIS solutions across the globe.
Geospatial Solutions are becoming increasingly integral to the GIS Data Management landscape, offering enhanced capabilities for spatial data analysis and visualization. These solutions provide a comprehensive framework for integrating various data sources, enabling users to gain deeper insights into geographic patterns and trends. As organizations strive to optimize their operations and decision-making processes, the demand for robust geospatial solutions is on the rise. These solutions not only facilitate the efficient management of spatial data but also support advanced analytics and real-time data processing. By leveraging geospatial solutions, businesses and governments can improve their strategic planning, resource allocation, and environmental monitoring efforts, thereby driving the overall growth of the GIS Data Management market.
Regionally, North America holds a significant share of the GIS Data Management market, driven by high technology adoption rates and substantial investments in GIS technologies by government and private sectors. However, Asia Pacific is anticipated to witness the highest growth rate during the forecast period. The rapid urbanization, economic development, and increasing adoption of advanced technologies in countries like China and India are major contributors to this growth. Governments in this region are also focusing on smart city projects and infrastructure development, which further boosts the demand for GIS data management solutions.
The GIS Data Management market is segmented by component into software, hardware, and services. The software segment is the largest and fastest-growing segment, driven by the continuous advancements in GIS software capabilities. GIS software applications enable users to analyze spatial data, create maps, and manage geographic information efficiently. The integration of GIS software with other enterprise systems and the development of user-friendly interfaces are key factors propelling the growth of this segment. Furthermore, the rise of mobile GIS applications, which allow field data collectio
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The Geographic Information System (GIS) market is experiencing robust growth, projected to reach $5.15 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 20.55% from 2025 to 2033. This expansion is fueled by several key drivers. Increasing urbanization and the need for efficient urban planning are creating significant demand for GIS solutions. Furthermore, advancements in technology, particularly in cloud computing and artificial intelligence (AI), are enhancing GIS capabilities, leading to wider adoption across various sectors. The integration of GIS with other technologies like IoT (Internet of Things) and big data analytics is enabling more sophisticated spatial analysis and decision-making. Industries like transportation, utilities, and agriculture are leveraging GIS for improved asset management, infrastructure planning, and precision farming. The market is segmented by component (software, data, services) and deployment (on-premise, cloud), with the cloud-based deployment model experiencing faster growth due to its scalability and cost-effectiveness. The competitive landscape is characterized by a mix of established players like Esri, Autodesk, and Trimble, and emerging technology providers, creating a dynamic market with significant innovation. However, factors like high initial investment costs and the need for skilled professionals to implement and manage GIS systems pose challenges to market growth. Despite these restraints, the long-term outlook for the GIS market remains positive. The increasing availability of geospatial data, coupled with declining hardware costs and improvements in user interfaces, is making GIS technology more accessible to a wider range of users. The integration of GIS into mobile applications and the rise of location-based services further broaden the market's potential. Government initiatives promoting smart cities and digital infrastructure development are also contributing to market growth. The North American region, particularly the United States, currently holds a significant market share due to early adoption and a robust technology ecosystem. However, other regions, especially in Asia-Pacific and Europe, are experiencing rapid growth, driven by increasing infrastructure investments and the adoption of advanced technologies. Future growth will be influenced by continued technological innovation, the availability of skilled workforce, and government regulations related to geospatial data management.
GapMaps GIS Data by Azira uses location data on mobile phones sourced by Azira which is collected from smartphone apps when the users have given their permission to track their location. It can shed light on consumer visitation patterns (“where from” and “where to”), frequency of visits, profiles of consumers and much more.
Businesses can utilise GIS data to answer key questions including:
- What is the demographic profile of customers visiting my locations?
- What is my primary catchment? And where within that catchment do most of my customers travel from to reach my locations?
- What points of interest drive customers to my locations (ie. work, shopping, recreation, hotel or education facilities that are in the area) ?
- How far do customers travel to visit my locations?
- Where are the potential gaps in my store network for new developments?
- What is the sales impact on an existing store if a new store is opened nearby?
- Is my marketing strategy targeted to the right audience?
- Where are my competitor's customers coming from?
Mobile Location data provides a range of benefits that make it a valuable GIS Data source for location intelligence services including: - Real-time - Low-cost at high scale - Accurate - Flexible - Non-proprietary - Empirical
Azira have created robust screening methods to evaluate the quality of Mobile location data collected from multiple sources to ensure that their data lake contains only the highest-quality mobile location data.
This includes partnering with trusted location SDK providers that get proper end user consent to track their location when they download an application, can detect device movement/visits and use GPS to determine location co-ordinates.
Data received from partners is put through Azira's data quality algorithm discarding data points that receive a low quality score.
Use cases in Europe will be considered on a case to case basis.