Click anywhere on earth to see how the water balance is changing over time. This app is based on data from GLDAS version 2.1, which uses weather observations like temperature, humidity, and rainfall to run the Noah land surface model. This model estimates how much of the rain becomes runoff, how much evaporates, and how much infiltrates into the soil. These output variables, calculated every three hours, are aggregated into monthly averages, giving us a record of the hydrologic cycle going all the way back to January 2000. Because the model is run with 0.25 degree spatial resolution (~30 km), these data should only be used for regional analysis. A specific farm or other small area might experience very different conditions than the region around it, especially because human influences like irrigation are not included.This app can also be seen as a useful template for sharing other climate datasets. If you would like to customize it for your own organization, or use it as a starting point for your own scientific application, the source code is available on github for anyone to use.

Geoform is a configurable app template for form based data editing of a Feature Service. This application allows users to enter data through a form instead of a map's pop-up while leveraging the power of the Web Map and editable Feature Services. This app geo-enables data and workflows by lowering the barrier of entry for completing simple tasks. Use CasesProvides a form-based experience for entering data through a form instead of a map pop-up. This is a good choice for users who find forms a more intuitive format than pop-ups for entering data.Useful to collect new point data from a large audience of non technical staff or members of the community.Configurable OptionsGeoform has an interactive builder used to configure the app in a step-by-step process. Use Geoform to collect new point data and configure it using the following options:Choose a web map and the editable layer(s) to be used for collection.Provide a title, logo image, and form instructions/details.Control and choose what attribute fields will be present in the form. Customize how they appear in the form, the order they appear in, and add hint text.Select from over 15 different layout themes.Choose the display field that will be used for sorting when viewing submitted entries.Enable offline support, social media sharing, default map extent, locate on load, and a basemap toggle button.Choose which locate methods are available in the form, including: current location, search, latitude and longitude, USNG coordinates, MGRS coordinates, and UTM coordinates.Supported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsThis web app includes the capability to edit a hosted feature service or an ArcGIS Server feature service. Creating hosted feature services requires an ArcGIS Online organizational subscription or an ArcGIS Developer account. Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a map and choose to Create a Web AppOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.

The Location Based App Development Service market is experiencing robust growth, driven by the increasing adoption of smartphones, the proliferation of location-based technologies like GPS and augmented reality, and the expanding demand for personalized user experiences. The market, estimated at $15 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% between 2025 and 2033, reaching an impressive $45 billion by 2033. This expansion is fueled by several key factors: the surge in popularity of geosocial apps, navigation tools, and fitness trackers that leverage location data; the increasing sophistication of augmented reality games and experiences; and the growing use of location-based services for businesses to enhance customer engagement and optimize operations (e.g., location-based marketing, delivery optimization). The segments showing the most significant growth are geosocial apps and augmented reality gaming, driven by the younger demographics and the continuous innovation in these sectors. Significant restraints currently impacting market growth include concerns over data privacy and security, the need for robust and reliable location-based infrastructure in certain regions, and the cost of developing sophisticated location-based applications. However, the increasing availability of cloud-based development platforms and the ongoing refinement of location-based technologies are expected to mitigate these challenges. The market's geographic distribution shows strong growth in North America and Asia-Pacific regions, fueled by high smartphone penetration and technological advancements. Europe and the Middle East & Africa are also emerging as significant markets, with increasing investment in location-based infrastructure and technology adoption across various sectors. The diverse range of applications, from SME-focused solutions to enterprise-grade systems, ensures a broad and dynamic market landscape. The competitive landscape is equally diverse, with a mix of established technology companies and specialized location-based app development firms contributing to the market's innovation and expansion.

The Geographic Management Information System (GeoMIS) is a FISMA Moderate minor application built using ArcGIS Server and portal, Microsoft SQL, and a web-facing front-end. The system can be accessed over the internet via https://www.usaidgiswbg.com using a web browser. GeoMIS is based on a commercial off-the-shelf product developed by Esri. Esri is creates geographic information system (GIS) software, web GIS and geodatabase management applications and is based in California. GeoMISIt is maintained by an Israeli company, Systematics (see Attachment 3) which is EsriI's agent in Israel. The mission has an annual maintenance contract with Systematics for GeoMIS. GeoMIS has 100 users from USAID staff (USA Direct Hire and Foreign Service Nationals) and 200 users from USAID contractors and grantees. The system is installed at USAID WBG office in Tel Aviv/Israel inside the computer room in the DMZ. It has no interconnections with any other system.

The basic idea is an app to supplement the geography and economics lessons at different school levels. The app is tailored to the curriculum (or even better to a specific textbook) to give students an easy start. In case of cooperation with a publisher, the app can be considered as an extension app to a specific textbook series. The content conveyed through the app should aim to repeat/consolidate the learned material and provide further information for interested students. In addition to the material taught in class (e.g. birth rate and population of Austria or migration movements), additional graphics and values about Upper Austria can be consumed. The app should offer the following features: Display of different maps (orthophoto, topographic, satellite) Display of content with map (climate zone(s), rock types, etc.) Display of content without map (e.g. birth rate, age distribution, etc.) on different time levels. In order to create a further incentive and added value for the users, the app also includes mini-games to arouse / strengthen the interest in geography in general. Possible mini-games: Determination of objects on a blind map (state, district, city, district, own position, rivers, mountains, soil type, recording the peculiarity of Austrian landscapes on maps, air and satellite images). Geo quiz The target group of the app are students in the school years after elementary school until graduation (Matura level). Interested students can use the app to delve a little deeper into the subject matter by consuming additional information about the region (state-specific data). However, you can also repeat Austria-wide material (summary of data from all federal states). Especially in the 7th. School level (3 grades) and 11. School level (7 class), where Austria is the focus of attention, the use of the app is suitable. In the tablet classes, it is of course conceivable to use the app in the classroom. However, not only students can benefit from this idea. A textbook publisher could take its first step into digital learning. This publisher would occupy the market early and thus secure a competitive advantage over the competition. In the textbooks, corresponding references to certain contents / teaching units could be accommodated in the app.

The Digital City Map (DCM) data represents street lines and other features shown on the City Map, which is the official street map of the City of New York. The City Map consists of 5 different sets of maps, one for each borough, totaling over 8000 individual paper maps. The DCM datasets were created in an ongoing effort to digitize official street records and bring them together with other street information to make them easily accessible to the public. The Digital City Map (DCM) is comprised of seven datasets; Digital City Map, Street Center Line, City Map Alterations, Arterial Highways and Major Streets, Street Name Changes (areas), Street Name Changes (lines), and Street Name Changes (points). All of the Digital City Map (DCM) datasets are featured on the Streets App All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

The Geographic Information Systems (GIS) Platform market is experiencing robust growth, projected to reach a market size of $4078.2 million in 2025. While the provided CAGR is missing, considering the widespread adoption of GIS across various sectors like government, utilities, and commercial businesses, coupled with advancements in cloud-based GIS and increasing demand for spatial analytics, a conservative estimate of the Compound Annual Growth Rate (CAGR) between 2025 and 2033 would be around 7-9%. This suggests a significant expansion of the market over the forecast period. Key drivers include the rising need for efficient resource management, improved infrastructure planning, precise location-based services, and the growing adoption of big data analytics combined with location intelligence. The market is segmented by type (Desktop GIS, Web Map Service GIS, Others) and application (Government & Utilities, Commercial Use), reflecting the diverse applications of GIS technology. Leading players like Environmental Systems Research Institute (Esri), Hexagon, Pitney Bowes, and SuperMap are shaping the market landscape through continuous innovation and strategic partnerships. The North American market currently holds a significant share due to high technology adoption and substantial investments in GIS infrastructure, but rapid growth is anticipated in Asia Pacific regions like China and India driven by urbanization and infrastructure development. The increasing availability of affordable high-resolution imagery and data fuels further expansion. The continued integration of GIS with other technologies like AI and IoT is expected to unlock new applications and further drive market growth. Challenges include the high initial investment costs for sophisticated GIS solutions, the need for skilled professionals to manage and interpret data, and ensuring data security and privacy. However, the benefits of improved decision-making, optimized resource allocation, and enhanced operational efficiency are expected to outweigh these challenges, contributing to the sustained expansion of the GIS Platform market throughout the forecast period. The market's future trajectory remains positive, fueled by technological advancements and the increasing reliance on location intelligence across various industries.

This web map references the live tiled map service from the OpenStreetMap project. OpenStreetMap (OSM) is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information such as free satellite imagery, and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap server: http://www.OpenStreetMap.org. See that website for additional information about OpenStreetMap. It is made available as a basemap for GIS work in Esri products under a Creative Commons Attribution-ShareAlike license.Tip: This service is one of the basemaps used in the ArcGIS.com map viewer and ArcGIS Explorer Online. Simply click one of those links to launch the interactive application of your choice, and then choose Open Street Map from the Basemap control to start using this service. You'll also find this service in the Basemap gallery in ArcGIS Explorer Desktop and ArcGIS Desktop 10.

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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 geographi

This application can be used to research addresses and centerlines.This application was originally created for use by the Dept of Emergency Communications and for the Richmond Police Department Records Management System (RMS) administrator(s) to research addresses, but it was decided that it could be useful for anyone needing to research the City of Richmond's authoritative address inventory.The RPD Records Management Sys Admin can use this application to look up specifically needed geographies for locations:Police PrecinctPolice SectorNeighborhoodCouncil District

Geographic Information System (GIS) Tools Market Outlook

The global Geographic Information System (GIS) tools market size was valued at approximately USD 10.8 billion in 2023, and it is projected to reach USD 21.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.9% from 2024 to 2032. The increasing demand for spatial data analytics and the rising adoption of GIS tools across various industries are significant growth factors propelling the market forward.

One of the primary growth factors for the GIS tools market is the surging demand for spatial data analytics. Spatial data plays a critical role in numerous sectors, including urban planning, environmental monitoring, disaster management, and natural resource exploration. The ability to visualize and analyze spatial data provides organizations with valuable insights, enabling them to make informed decisions. Advances in technology, such as the integration of artificial intelligence (AI) and machine learning (ML) with GIS, are enhancing the capabilities of these tools, further driving market growth.

Moreover, the increasing adoption of GIS tools in the construction and agriculture sectors is fueling market expansion. In construction, GIS tools are used for site selection, route planning, and resource management, enhancing operational efficiency and reducing costs. Similarly, in agriculture, GIS tools aid in precision farming, crop monitoring, and soil analysis, leading to improved crop yields and sustainable farming practices. The ability of GIS tools to provide real-time data and analytics is particularly beneficial in these industries, contributing to their widespread adoption.

The growing importance of location-based services (LBS) in various applications is another key driver for the GIS tools market. LBS are extensively used in navigation, logistics, and transportation, providing real-time location information and route optimization. The proliferation of smartphones and the development of advanced GPS technologies have significantly increased the demand for LBS, thereby boosting the GIS tools market. Additionally, the integration of GIS with other technologies, such as the Internet of Things (IoT) and Big Data, is creating new opportunities for market growth.

Regionally, North America holds a significant share of the GIS tools market, driven by the high adoption of advanced technologies and the presence of major market players. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, owing to increasing investments in infrastructure development, smart city projects, and the growing use of GIS tools in emerging economies such as China and India. Europe, Latin America, and the Middle East & Africa are also expected to contribute to market growth, driven by various government initiatives and increasing awareness of the benefits of GIS tools.

Component Analysis

The GIS tools market can be segmented by component into software, hardware, and services. The software segment is anticipated to dominate the market due to the increasing demand for advanced GIS software solutions that offer enhanced data visualization, spatial analysis, and decision-making capabilities. GIS software encompasses a wide range of applications, including mapping, spatial data analysis, and geospatial data management, making it indispensable for various industries. The continuous development of user-friendly and feature-rich software solutions is expected to drive the growth of this segment.

Hardware components in the GIS tools market include devices such as GPS units, remote sensing devices, and plotting and digitizing tools. The hardware segment is also expected to witness substantial growth, driven by the increasing use of advanced hardware devices that provide accurate and real-time spatial data. The advancements in GPS technology and the development of sophisticated remote sensing devices are key factors contributing to the growth of the hardware segment. Additionally, the integration of hardware with IoT and AI technologies is enhancing the capabilities of GIS tools, further propelling market expansion.

The services segment includes consulting, integration, maintenance, and support services related to GIS tools. This segment is expected to grow significantly, driven by the increasing demand for specialized services that help organizations effectively implement and manage GIS solutions. Consulting services assist organizations in selecting the right GIS tools and optimizing their use, while integration services ensure seamless integr

TIGERweb allows the viewing of TIGER spatial data online and for TIGER data to be streamed to your mapping application. The web-based application allows the users to visualize our TIGER(Topologically Integrated Geographic Encoding and Referencing database) data. The application allows users to select features and view their attributes, to search for features by name or geocode, and to identify features by selecting them from a map. The TIGERweb application is a simple way to view our TIGER data without having to download the data. The web Mapping serivices provide a simple HTTP interface for requesting geo-registered map images from our geospatial database. It allows users to produce maps containg TIGERweb layers with layers from other servers.It consists of the following two applications and six services: Applications: TIGERweb TIGERweb2010 Services: Current Geography ACS 2012 ACS 2011 Census 2010 (for the TIGERweb application) Physical Features Census 2010 for the TIGERweb2010 application)

Multilingual Mobile App Reviews Dataset 2025

Overview

This comprehensive synthetic dataset contains 2,514 authentic mobile app reviews spanning 40+ popular applications across 24 different languages, making it ideal for multilingual NLP, sentiment analysis, and cross-cultural user behavior research.

Dataset Statistics

• Total Records: 2,514 reviews
• Columns: 15 features
• Languages Covered: 24 international languages
• Apps Included: 40+ popular mobile applications
• Time Range: 2023-2025 (2-year span)
• File Format: CSV
• Data Quality: Intentionally includes missing values and mixed data types for data cleaning practice

Column Specifications

Note: Data types marked with asterisk require cleaning/conversion

Language Distribution

The dataset includes reviews in 24 languages: - European: English (en), Spanish (es), French (fr), German (de), Italian (it), Russian (ru), Polish (pl), Dutch (nl), Swedish (sv), Danish (da), Norwegian (no), Finnish (fi) - Asian: Chinese (zh), Hindi (hi), Japanese (ja), Korean (ko), Thai (th), Vietnamese (vi), Indonesian (id), Malay (ms) - Other: Arabic (ar), Turkish (tr), Filipino (tl)

Application Categories

Reviews cover 18 distinct categories: - Social Networking - Entertainment
- Productivity - Travel & Local - Music & Audio - Video Players & Editors - Shopping - Navigation - Finance - Communication - Education - Photography - Dating - Business - Utilities - Health & Fitness - Games - News & Magazines

Popular Apps Included

40+ applications including: - Social: WhatsApp, Instagram, Facebook, Snapchat, TikTok, LinkedIn, Twitter, Reddit, Pinterest - Entertainment: YouTube, Netflix, Spotify - Productivity: Microsoft Office, Google Drive, Dropbox, OneDrive, Zoom, Discord - Travel: Uber, Lyft, Airbnb, Booking.com, Google Maps, Waze - Finance: PayPal, Venmo - Education: Duolingo, Khan Academy, Coursera, Udemy - Tools: Grammarly, Canva, Adobe Photoshop, VLC, MX Player

Geographic Distribution

Reviews from 24 countries across all continents: - Asia: China, India, Japan, South Korea, Thailand, Vietnam, Indonesia, Malaysia, Philippines, Pakistan, Bangladesh - Europe: Germany, United Kingdom, France, Italy, Spain, Russia, Turkey, Poland - Americas: United States, Canada, Brazil, Mexico - Oceania: Australia - Africa: Nigeria

Data Quality Features

Intentional data challenges for learning: - Missing Values: Strategic nulls in review_text (63), rating (38), user_country (50), user_gender (88), app_version (25) - Data Type Issues: - user_id stored as strings (should be integers) - user_age as floats (should be integers)
- Some ratings as strings (should be floats) - Some helpful_votes as strings (should be integers) - Mixed Version Formats: "1.4", "v8.9", "2.8.37.5926", "14.1.60.318-beta"

Use Cases

This dataset is perfect for: - Multilingual NLP projects and sentiment analysis - Cross-cultural user behavior analysis - App store analytics and rating prediction - Data cleaning and preprocessing practice - Text classification across multiple languages - Time series analysis of app reviews - Geographic sentiment analysis - Data engineering pipeline development

Data Cleaning Opportunities

• Convert string IDs to integers
• Standardize rating values to float
• Han...

The description of the data is available in the data batch metadata sheet “Soil Observatory at the Municipal Level of the Region New-Aquitaine for 2013 — Beta Version” referenced below and accessible by the following address after insertion in your search engine:

http://catalogue.geo-ide.developpement-durable.gouv.fr/catalogue/apps/search/?uuid=fr-120066022-ldd-2bd25601-a8bc-4a19-a0b8-7ebf519da483

The geographical area covered by the data available here is the south-eastern quarter of the Dordogne department: — south of a line running from the commune of Eygurande and Gardedeuil (24165) to the west to the commune of Chavagnac (24117) to the east — east of a line from the commune of Vergt (24571) to the north to the commune of Sainte Sabine Born (24497) to the south.

When using OSCOM data, it is advisable to refer to the file N_OSCOM2013_TxVectMajic_024.csv. If the rate of vectorisation of the communes studied is low, the relevance of the data should be checked before any conclusion is reached.

The data is also available in WMS and WFS: Warnings — Position on the address, right click, copy the link address and paste into the WMS server connection dialog box, WFS. The use of another method leads to the appearance of parasitic spaces. — Problems with displaying multi polygons via the use of WFS (under resolution) — prefer data download if presence of multi polygons — WFS display of more than 500 objects via the WFS impossible at the moment

WMS address for integration into a GIS from Geoide_Carto: http://data.geo-ide.application.developpement-durable.gouv.fr/WMS/228/OSCOM2013_024_donneesagr?

WFS address for GIS integration (See warning above). http://ogc.geo-ide.developpement-durable.gouv.fr/cartes/mapserv?map=/opt/data/carto/geoide-catalogue/REG072A/JDD.www.map

Snapshot img

Geographic Information System Analytics Market Size 2024-2028

The geographic information system analytics market size is forecast to increase by USD 12 billion at a CAGR of 12.41% between 2023 and 2028.

The GIS Analytics Market analysis is experiencing significant growth, driven by the increasing need for efficient land management and emerging methods in data collection and generation. The defense industry's reliance on geospatial technology for situational awareness and real-time location monitoring is a major factor fueling market expansion. Additionally, the oil and gas industry's adoption of GIS for resource exploration and management is a key trend. Building Information Modeling (BIM) and smart city initiatives are also contributing to market growth, as they require multiple layered maps for effective planning and implementation. The Internet of Things (IoT) and Software as a Service (SaaS) are transforming GIS analytics by enabling real-time data processing and analysis.
Augmented reality is another emerging trend, as it enhances the user experience and provides valuable insights through visual overlays. Overall, heavy investments are required for setting up GIS stations and accessing data sources, making this a promising market for technology innovators and investors alike.

What will be the Size of the GIS Analytics Market during the forecast period?

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The geographic information system analytics market encompasses various industries, including government sectors, agriculture, and infrastructure development. Smart city projects, building information modeling, and infrastructure development are key areas driving market growth. Spatial data plays a crucial role in sectors such as transportation, mining, and oil and gas. Cloud technology is transforming GIS analytics by enabling real-time data access and analysis. Startups are disrupting traditional GIS markets with innovative location-based services and smart city planning solutions. Infrastructure development in sectors like construction and green buildings relies on modern GIS solutions for efficient planning and management. Smart utilities and telematics navigation are also leveraging GIS analytics for improved operational efficiency.
GIS technology is essential for zoning and land use management, enabling data-driven decision-making. Smart public works and urban planning projects utilize mapping and geospatial technology for effective implementation. Surveying is another sector that benefits from advanced GIS solutions. Overall, the GIS analytics market is evolving, with a focus on providing actionable insights to businesses and organizations.

How is this Geographic Information System Analytics Industry segmented?

The geographic information system analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

End-user

  Retail and Real Estate
  Government
  Utilities
  Telecom
  Manufacturing and Automotive
  Agriculture
  Construction
  Mining
  Transportation
  Healthcare
  Defense and Intelligence
  Energy
  Education and Research
  BFSI


Components

  Software
  Services


Deployment Modes

  On-Premises
  Cloud-Based


Applications

  Urban and Regional Planning
  Disaster Management
  Environmental Monitoring Asset Management
  Surveying and Mapping
  Location-Based Services
  Geospatial Business Intelligence
  Natural Resource Management


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    South Korea


  Middle East and Africa

    UAE


  South America

    Brazil


  Rest of World

By End-user Insights

The retail and real estate segment is estimated to witness significant growth during the forecast period.

The GIS analytics market analysis is witnessing significant growth due to the increasing demand for advanced technologies in various industries. In the retail sector, for instance, retailers are utilizing GIS analytics to gain a competitive edge by analyzing customer demographics and buying patterns through real-time location monitoring and multiple layered maps. The retail industry's success relies heavily on these insights for effective marketing strategies. Moreover, the defense industries are integrating GIS analytics into their operations for infrastructure development, permitting, and public safety. Building Information Modeling (BIM) and 4D GIS software are increasingly being adopted for construction project workflows, while urban planning and designing require geospatial data for smart city planning and site selection.

The oil and gas industry is leveraging satellite imaging and IoT devices for land acquisition and mining operations. In the public sector, gover

Xverum’s Point of Interest (POI) Data is a comprehensive dataset containing 230M+ verified locations across 5000 business categories. Our dataset delivers structured geographic data, business attributes, location intelligence, and mapping insights, making it an essential tool for GIS applications, market research, urban planning, and competitive analysis.

With regular updates and continuous POI discovery, Xverum ensures accurate, up-to-date information on businesses, landmarks, retail stores, and more. Delivered in bulk to S3 Bucket and cloud storage, our dataset integrates seamlessly into mapping, geographic information systems, and analytics platforms.

🔥 Key Features:

Extensive POI Coverage: ✅ 230M+ Points of Interest worldwide, covering 5000 business categories. ✅ Includes retail stores, restaurants, corporate offices, landmarks, and service providers.

Geographic & Location Intelligence Data: ✅ Latitude & longitude coordinates for mapping and navigation applications. ✅ Geographic classification, including country, state, city, and postal code. ✅ Business status tracking – Open, temporarily closed, or permanently closed.

Continuous Discovery & Regular Updates: ✅ New POIs continuously added through discovery processes. ✅ Regular updates ensure data accuracy, reflecting new openings and closures.

Rich Business Insights: ✅ Detailed business attributes, including company name, category, and subcategories. ✅ Contact details, including phone number and website (if available). ✅ Consumer review insights, including rating distribution and total number of reviews (additional feature). ✅ Operating hours where available.

Ideal for Mapping & Location Analytics: ✅ Supports geospatial analysis & GIS applications. ✅ Enhances mapping & navigation solutions with structured POI data. ✅ Provides location intelligence for site selection & business expansion strategies.

Bulk Data Delivery (NO API): ✅ Delivered in bulk via S3 Bucket or cloud storage. ✅ Available in structured format (.json) for seamless integration.

🏆Primary Use Cases:

Mapping & Geographic Analysis: 🔹 Power GIS platforms & navigation systems with precise POI data. 🔹 Enhance digital maps with accurate business locations & categories.

Retail Expansion & Market Research: 🔹 Identify key business locations & competitors for market analysis. 🔹 Assess brand presence across different industries & geographies.

Business Intelligence & Competitive Analysis: 🔹 Benchmark competitor locations & regional business density. 🔹 Analyze market trends through POI growth & closure tracking.

Smart City & Urban Planning: 🔹 Support public infrastructure projects with accurate POI data. 🔹 Improve accessibility & zoning decisions for government & businesses.

💡 Why Choose Xverum’s POI Data?

• 230M+ Verified POI Records – One of the largest & most detailed location datasets available.
• Global Coverage – POI data from 249+ countries, covering all major business sectors.
• Regular Updates – Ensuring accurate tracking of business openings & closures.
• Comprehensive Geographic & Business Data – Coordinates, addresses, categories, and more.
• Bulk Dataset Delivery – S3 Bucket & cloud storage delivery for full dataset access.
• 100% Compliant – Ethically sourced, privacy-compliant data.

Access Xverum’s 230M+ POI dataset for mapping, geographic analysis, and location intelligence. Request a free sample or contact us to customize your dataset today!

Geo-referenced point database on dams in the Middle East.

The Geographic Names Information System (GNIS) actively seeks data from and partnerships with Government agencies at all levels and other interested organizations. The GNIS is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types. See http://geonames.usgs.gov for additional information.

The global travel safety app market is experiencing robust growth, driven by increasing concerns about personal safety during travel and the rising adoption of smartphones. The market, estimated at $1.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $5 billion by 2033. This expansion is fueled by several key factors. Firstly, heightened awareness of travel risks, including terrorism, natural disasters, and petty crime, is prompting travelers to seek proactive safety measures. Secondly, the increasing sophistication of travel safety apps, offering features beyond basic location tracking, such as real-time emergency alerts, SOS buttons, and travel advisories, is driving adoption. Finally, the seamless integration of these apps with existing travel itineraries and booking platforms enhances user experience and convenience. Competitive landscape analysis reveals that several players, including Smart Traveler, bSafe, and GeoSure, are vying for market share, focusing on differentiated features and target audiences. The market is segmented based on app functionality (e.g., location tracking, emergency alerts, medical assistance), pricing models (freemium, subscription), and geographic regions. Growth is anticipated to be particularly strong in regions with high tourist traffic and a rising middle class, increasing their disposable income for travel and associated safety measures. However, challenges remain. Data privacy concerns, the need for consistent internet connectivity, and varying levels of technological literacy across different user demographics pose potential restraints to market expansion. Furthermore, the market's reliance on effective partnerships with local emergency services and authorities for reliable information and response times is crucial for sustained growth. Future trends suggest increased personalization of safety features, integration with AI-powered predictive analytics for risk assessment, and the development of apps catering to specific niche travel segments (e.g., solo female travelers, adventure travelers). This indicates a continued evolution of the travel safety app market and presents opportunities for innovation and expansion.

Tagged image tiles as well as the Faster-RCNN framework for automatic extraction of road intersection points from USGS historical maps of the United States of America. The data and code have been prepared for the paper entitled "Automatic extraction of road intersection points from USGS historical map series using deep convolutional neural networks" submitted to "International Journal of Geographic Information Science". The image tiles have been tagged manually. The Faster RCNN framework (see https://arxiv.org/abs/1611.10012) was captured from:https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md