100+ datasets found
  1. Average data use of leading navigation apps in the U.S. 2020

    • statista.com
    Updated Nov 30, 2022
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    Statista (2022). Average data use of leading navigation apps in the U.S. 2020 [Dataset]. https://www.statista.com/statistics/1186009/data-use-leading-us-navigation-apps/
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    Dataset updated
    Nov 30, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2020
    Area covered
    United States
    Description

    As of October 2020, the average amount of mobile data used by Apple Maps per 20 minutes was 1.83 MB, while Google maps used only 0.73 MB. Waze, which is also owned by Google, used the least amount at 0.23 MB per 20 minutes.

  2. Most popular navigation apps in the U.S. 2023, by downloads

    • statista.com
    Updated Mar 4, 2024
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    Statista (2024). Most popular navigation apps in the U.S. 2023, by downloads [Dataset]. https://www.statista.com/statistics/865413/most-popular-us-mapping-apps-ranked-by-audience/
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    Dataset updated
    Mar 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, Google Maps was the most downloaded map and navigation app in the United States, despite being a standard pre-installed app on Android smartphones. Waze followed, with 9.89 million downloads in the examined period. The app, which comes with maps and the possibility to access information on traffic via users reports, was developed in 2006 by the homonymous Waze company, acquired by Google in 2013.

    Usage of navigation apps in the U.S. As of 2021, less than two in 10 U.S. adults were using a voice assistant in their cars, in order to place voice calls or follow voice directions to a destination. Navigation apps generally offer the possibility for users to download maps to access when offline. Native iOS app Apple Maps, which does not offer this possibility, was by far the navigation app with the highest data consumption, while Google-owned Waze used only 0.23 MB per 20 minutes.

    Usage of navigation apps worldwide In July 2022, Google Maps was the second most popular Google-owned mobile app, with 13.35 million downloads from global users during the examined month. In China, the Gaode Map app, which is operated along with other navigation services by the Alibaba owned AutoNavi, had approximately 730 million monthly active users as of September 2022.

  3. Google Maps Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Jan 8, 2023
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    Bright Data (2023). Google Maps Dataset [Dataset]. https://brightdata.com/products/datasets/google-maps
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    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Jan 8, 2023
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    The Google Maps dataset is ideal for getting extensive information on businesses anywhere in the world. Easily filter by location, business type, and other factors to get the exact data you need. The Google Maps dataset includes all major data points: timestamp, name, category, address, description, open website, phone number, open_hours, open_hours_updated, reviews_count, rating, main_image, reviews, url, lat, lon, place_id, country, and more.

  4. d

    Outscraper Google Maps Scraper

    • datarade.ai
    .csv, .xls, .json
    Updated Dec 9, 2021
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    (2021). Outscraper Google Maps Scraper [Dataset]. https://datarade.ai/data-products/outscraper-google-maps-scraper-outscraper
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    .csv, .xls, .jsonAvailable download formats
    Dataset updated
    Dec 9, 2021
    Area covered
    Guyana, Uruguay, United States Minor Outlying Islands, Botswana, Sint Eustatius and Saba, Mayotte, Western Sahara, Egypt, Zimbabwe, Cameroon
    Description

    Are you looking to identify B2B leads to promote your business, product, or service? Outscraper Google Maps Scraper might just be the tool you've been searching for. This powerful software enables you to extract business data directly from Google's extensive database, which spans millions of businesses across countless industries worldwide.

    Outscraper Google Maps Scraper is a tool built with advanced technology that lets you scrape a myriad of valuable information about businesses from Google's database. This information includes but is not limited to, business names, addresses, contact information, website URLs, reviews, ratings, and operational hours.

    Whether you are a small business trying to make a mark or a large enterprise exploring new territories, the data obtained from the Outscraper Google Maps Scraper can be a treasure trove. This tool provides a cost-effective, efficient, and accurate method to generate leads and gather market insights.

    By using Outscraper, you'll gain a significant competitive edge as it allows you to analyze your market and find potential B2B leads with precision. You can use this data to understand your competitors' landscape, discover new markets, or enhance your customer database. The tool offers the flexibility to extract data based on specific parameters like business category or geographic location, helping you to target the most relevant leads for your business.

    In a world that's growing increasingly data-driven, utilizing a tool like Outscraper Google Maps Scraper could be instrumental to your business' success. If you're looking to get ahead in your market and find B2B leads in a more efficient and precise manner, Outscraper is worth considering. It streamlines the data collection process, allowing you to focus on what truly matters – using the data to grow your business.

    https://outscraper.com/google-maps-scraper/

    As a result of the Google Maps scraping, your data file will contain the following details:

    Query Name Site Type Subtypes Category Phone Full Address Borough Street City Postal Code State Us State Country Country Code Latitude Longitude Time Zone Plus Code Rating Reviews Reviews Link Reviews Per Scores Photos Count Photo Street View Working Hours Working Hours Old Format Popular Times Business Status About Range Posts Verified Owner ID Owner Title Owner Link Reservation Links Booking Appointment Link Menu Link Order Links Location Link Place ID Google ID Reviews ID

    If you want to enrich your datasets with social media accounts and many more details you could combine Google Maps Scraper with Domain Contact Scraper.

    Domain Contact Scraper can scrape these details:

    Email Facebook Github Instagram Linkedin Phone Twitter Youtube

  5. d

    Google Map Data, Google Map Data Scraper, Business location Data- Scrape All...

    • datarade.ai
    Updated May 23, 2022
    + more versions
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    APISCRAPY (2022). Google Map Data, Google Map Data Scraper, Business location Data- Scrape All Publicly Available Data From Google Map & Other Platforms [Dataset]. https://datarade.ai/data-products/google-map-data-google-map-data-scraper-business-location-d-apiscrapy
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    May 23, 2022
    Dataset authored and provided by
    APISCRAPY
    Area covered
    Switzerland, United States of America, Bulgaria, Macedonia (the former Yugoslav Republic of), Japan, Gibraltar, Serbia, Denmark, Albania, Svalbard and Jan Mayen
    Description

    APISCRAPY, your premier provider of Map Data solutions. Map Data encompasses various information related to geographic locations, including Google Map Data, Location Data, Address Data, and Business Location Data. Our advanced Google Map Data Scraper sets us apart by extracting comprehensive and accurate data from Google Maps and other platforms.

    What sets APISCRAPY's Map Data apart are its key benefits:

    1. Accuracy: Our scraping technology ensures the highest level of accuracy, providing reliable data for informed decision-making. We employ advanced algorithms to filter out irrelevant or outdated information, ensuring that you receive only the most relevant and up-to-date data.

    2. Accessibility: With our data readily available through APIs, integration into existing systems is seamless, saving time and resources. Our APIs are easy to use and well-documented, allowing for quick implementation into your workflows. Whether you're a developer building a custom application or a business analyst conducting market research, our APIs provide the flexibility and accessibility you need.

    3. Customization: We understand that every business has unique needs and requirements. That's why we offer tailored solutions to meet specific business needs. Whether you need data for a one-time project or ongoing monitoring, we can customize our services to suit your needs. Our team of experts is always available to provide support and guidance, ensuring that you get the most out of our Map Data solutions.

    Our Map Data solutions cater to various use cases:

    1. B2B Marketing: Gain insights into customer demographics and behavior for targeted advertising and personalized messaging. Identify potential customers based on their geographic location, interests, and purchasing behavior.

    2. Logistics Optimization: Utilize Location Data to optimize delivery routes and improve operational efficiency. Identify the most efficient routes based on factors such as traffic patterns, weather conditions, and delivery deadlines.

    3. Real Estate Development: Identify prime locations for new ventures using Business Location Data for market analysis. Analyze factors such as population density, income levels, and competition to identify opportunities for growth and expansion.

    4. Geospatial Analysis: Leverage Map Data for spatial analysis, urban planning, and environmental monitoring. Identify trends and patterns in geographic data to inform decision-making in areas such as land use planning, resource management, and disaster response.

    5. Retail Expansion: Determine optimal locations for new stores or franchises using Location Data and Address Data. Analyze factors such as foot traffic, proximity to competitors, and demographic characteristics to identify locations with the highest potential for success.

    6. Competitive Analysis: Analyze competitors' business locations and market presence for strategic planning. Identify areas of opportunity and potential threats to your business by analyzing competitors' geographic footprint, market share, and customer demographics.

    Experience the power of APISCRAPY's Map Data solutions today and unlock new opportunities for your business. With our accurate and accessible data, you can make informed decisions, drive growth, and stay ahead of the competition.

    [ Related tags: Map Data, Google Map Data, Google Map Data Scraper, B2B Marketing, Location Data, Map Data, Google Data, Location Data, Address Data, Business location data, map scraping data, Google map data extraction, Transport and Logistic Data, Mobile Location Data, Mobility Data, and IP Address Data, business listings APIs, map data, map datasets, map APIs, poi dataset, GPS, Location Intelligence, Retail Site Selection, Sentiment Analysis, Marketing Data Enrichment, Point of Interest (POI) Mapping]

  6. d

    Google Address Data, Google Address API, Google location API, Google Map...

    • datarade.ai
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    APISCRAPY, Google Address Data, Google Address API, Google location API, Google Map API, Business Location Data- 100 M Google Address Data Available [Dataset]. https://datarade.ai/data-products/google-address-data-google-address-api-google-location-api-apiscrapy
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset authored and provided by
    APISCRAPY
    Area covered
    Andorra, Liechtenstein, Moldova (Republic of), Luxembourg, China, Spain, Åland Islands, Estonia, Monaco, United Kingdom
    Description

    Welcome to Apiscrapy, your ultimate destination for comprehensive location-based intelligence. As an AI-driven web scraping and automation platform, Apiscrapy excels in converting raw web data into polished, ready-to-use data APIs. With a unique capability to collect Google Address Data, Google Address API, Google Location API, Google Map, and Google Location Data with 100% accuracy, we redefine possibilities in location intelligence.

    Key Features:

    Unparalleled Data Variety: Apiscrapy offers a diverse range of address-related datasets, including Google Address Data and Google Location Data. Whether you seek B2B address data or detailed insights for various industries, we cover it all.

    Integration with Google Address API: Seamlessly integrate our datasets with the powerful Google Address API. This collaboration ensures not just accessibility but a robust combination that amplifies the precision of your location-based insights.

    Business Location Precision: Experience a new level of precision in business decision-making with our address data. Apiscrapy delivers accurate and up-to-date business locations, enhancing your strategic planning and expansion efforts.

    Tailored B2B Marketing: Customize your B2B marketing strategies with precision using our detailed B2B address data. Target specific geographic areas, refine your approach, and maximize the impact of your marketing efforts.

    Use Cases:

    Location-Based Services: Companies use Google Address Data to provide location-based services such as navigation, local search, and location-aware advertisements.

    Logistics and Transportation: Logistics companies utilize Google Address Data for route optimization, fleet management, and delivery tracking.

    E-commerce: Online retailers integrate address autocomplete features powered by Google Address Data to simplify the checkout process and ensure accurate delivery addresses.

    Real Estate: Real estate agents and property websites leverage Google Address Data to provide accurate property listings, neighborhood information, and proximity to amenities.

    Urban Planning and Development: City planners and developers utilize Google Address Data to analyze population density, traffic patterns, and infrastructure needs for urban planning and development projects.

    Market Analysis: Businesses use Google Address Data for market analysis, including identifying target demographics, analyzing competitor locations, and selecting optimal locations for new stores or offices.

    Geographic Information Systems (GIS): GIS professionals use Google Address Data as a foundational layer for mapping and spatial analysis in fields such as environmental science, public health, and natural resource management.

    Government Services: Government agencies utilize Google Address Data for census enumeration, voter registration, tax assessment, and planning public infrastructure projects.

    Tourism and Hospitality: Travel agencies, hotels, and tourism websites incorporate Google Address Data to provide location-based recommendations, itinerary planning, and booking services for travelers.

    Discover the difference with Apiscrapy – where accuracy meets diversity in address-related datasets, including Google Address Data, Google Address API, Google Location API, and more. Redefine your approach to location intelligence and make data-driven decisions with confidence. Revolutionize your business strategies today!

  7. MOOD Maps of Google community mobility change during the COVID-19 outbreak

    • figshare.com
    xlsx
    Updated Oct 28, 2022
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    William Wint; Neil Alexander (2022). MOOD Maps of Google community mobility change during the COVID-19 outbreak [Dataset]. http://doi.org/10.6084/m9.figshare.12130980.v155
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    xlsxAvailable download formats
    Dataset updated
    Oct 28, 2022
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    William Wint; Neil Alexander
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford, c/o Dept Zoology, University of Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.

  8. f

    Data_Sheet_5_Addressing Label Sparsity With Class-Level Common Sense for...

    • frontiersin.figshare.com
    txt
    Updated Jun 9, 2023
    + more versions
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    Chris Welty; Lora Aroyo; Flip Korn; Sara M. McCarthy; Shubin Zhao (2023). Data_Sheet_5_Addressing Label Sparsity With Class-Level Common Sense for Google Maps.CSV [Dataset]. http://doi.org/10.3389/frai.2022.830299.s005
    Explore at:
    txtAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    Frontiers
    Authors
    Chris Welty; Lora Aroyo; Flip Korn; Sara M. McCarthy; Shubin Zhao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Successful knowledge graphs (KGs) solved the historical knowledge acquisition bottleneck by supplanting the previous expert focus with a simple, crowd-friendly one: KG nodes represent popular people, places, organizations, etc., and the graph arcs represent common sense relations like affiliations, locations, etc. Techniques for more general, categorical, KG curation do not seem to have made the same transition: the KG research community is still largely focused on logic-based methods that belie the common-sense characteristics of successful KGs. In this paper, we propose a simple yet novel three-tier crowd approach to acquiring class-level attributes that represent broad common sense associations between categories, and can be used with the classic knowledge-base default & override technique, to address the early label sparsity problem faced by machine learning systems for problems that lack data for training. We demonstrate the effectiveness of our acquisition and reasoning approach on a pair of very real industrial-scale problems: how to augment an existing KG of places and offerings (e.g. stores and products, restaurants and dishes) with associations between them indicating the availability of the offerings at those places. Label sparsity is a general problem, and not specific to these use cases, that prevents modern AI and machine learning techniques from applying to many applications for which labeled data is not readily available. As a result, the study of how to acquire the knowledge and data needed for AI to work is as much a problem today as it was in the 1970s and 80s during the advent of expert systems. Our approach was a critical part of enabling a worldwide local search capability on Google Maps, with which users can find products and dishes that are available in most places on earth.

  9. M

    Mobile Phone Map Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jul 8, 2025
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    Data Insights Market (2025). Mobile Phone Map Report [Dataset]. https://www.datainsightsmarket.com/reports/mobile-phone-map-1968720
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global mobile phone map market is experiencing robust growth, driven by the increasing penetration of smartphones, the proliferation of location-based services (LBS), and the rising demand for advanced navigation features. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $45 billion by 2033. This growth is fueled by several key trends, including the integration of augmented reality (AR) and virtual reality (VR) technologies into map applications, the development of highly accurate and real-time navigation systems, and the increasing adoption of in-car navigation systems that seamlessly integrate with mobile phone maps. Major players like TomTom, Google, Alibaba (AutoNavi), Navinfo, Mobileye, and Sandborn are actively competing to enhance their offerings, focusing on features like offline maps, improved user interfaces, and personalized navigation experiences. However, factors like data privacy concerns, reliance on internet connectivity, and the need for continuous map updates pose challenges to market expansion. The segmentation of the mobile phone map market reveals distinct opportunities across various geographic regions and user demographics. North America and Europe currently hold significant market share, driven by high smartphone adoption and technological advancements. However, Asia-Pacific is anticipated to witness the most substantial growth in the forecast period due to the rapid rise in smartphone usage and increasing digital literacy. Competitive pressures are intensifying, with established players investing heavily in research and development to maintain their market positions. The future trajectory of the mobile phone map market will be significantly shaped by advancements in artificial intelligence (AI), 5G network deployment, and the evolving landscape of autonomous driving technologies. These technological advancements will enable more intelligent, efficient, and personalized navigation solutions, fostering further market expansion.

  10. M

    Map App Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated May 5, 2025
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    Archive Market Research (2025). Map App Report [Dataset]. https://www.archivemarketresearch.com/reports/map-app-558844
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    May 5, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global map application market is experiencing robust growth, driven by the increasing penetration of smartphones, rising demand for location-based services, and the integration of advanced features like augmented reality and real-time traffic updates. Let's assume a 2025 market size of $15 billion, considering the significant investment and expansion in this sector. With a Compound Annual Growth Rate (CAGR) of 12% projected for the period 2025-2033, the market is poised to reach approximately $45 billion by 2033. This growth is fueled by several key trends: the development of more sophisticated navigation systems incorporating AI, the surge in the popularity of ride-sharing services heavily reliant on map apps, and the expanding use of maps in various industries such as logistics and delivery services. While factors like data privacy concerns and the competitive landscape pose some restraints, the overall outlook remains positive, driven by continuous innovation and increasing user adoption across both general and enterprise segments. The market is segmented by operating system (Android, iOS, Others) and user type (General, Enterprise), reflecting the diverse applications and user needs catered to by these apps. Geographic expansion is another significant factor, with North America and Europe currently leading the market, but substantial growth potential in Asia Pacific and other emerging regions. The competitive landscape is highly dynamic, with established players like Google Maps and Waze vying for market share alongside specialized players like OsmAnd and Citymapper catering to niche needs. The ongoing development of offline map functionality, improved accuracy, and enhanced user interfaces are key factors in maintaining user engagement and attracting new users. Further growth will depend on the ability of companies to leverage emerging technologies such as 5G and edge computing to deliver faster and more reliable location services. The integration of map apps with other services, creating seamless user experiences across various platforms and applications, presents a key area of future development. The continuous expansion of the market reflects a fundamental human need for navigation and location-based information which is amplified by the ever-increasing interconnected world.

  11. H

    High Definition Maps Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 7, 2025
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    Archive Market Research (2025). High Definition Maps Report [Dataset]. https://www.archivemarketresearch.com/reports/high-definition-maps-52988
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The High Definition (HD) Maps market is experiencing robust growth, driven by the escalating demand for autonomous vehicles and Advanced Driver-Assistance Systems (ADAS). The market size in 2025 is estimated at $15.49 billion, projecting a significant expansion over the forecast period (2025-2033). While the provided CAGR (Compound Annual Growth Rate) is missing, considering the rapid technological advancements and increasing adoption of autonomous driving technologies, a conservative estimate would place the CAGR between 15% and 20% for the forecast period. This growth is fueled by several key factors, including the increasing accuracy and detail offered by HD maps compared to traditional maps, enabling safer and more efficient navigation for autonomous vehicles. The market is segmented by type (centralized vs. crowdsourced mapping) and application (autonomous vehicles, ADAS, others), with autonomous vehicles currently dominating the market share due to their critical reliance on precise and up-to-date map data. Major players like TomTom, Google, HERE Technologies, and Baidu Apollo are heavily investing in research and development, fostering innovation and competition within the market. Regional growth is expected to be geographically diverse, with North America and Europe leading the initial adoption, followed by a rapid expansion in the Asia-Pacific region driven by significant investments in autonomous vehicle infrastructure and technological advancements. The competitive landscape is characterized by both established map providers and technology giants entering the market. This intense competition is pushing innovation forward, leading to more accurate, detailed, and frequently updated HD maps. Challenges include the high cost of creating and maintaining HD maps, the need for continuous data updates to reflect dynamic road conditions, and data privacy concerns surrounding the collection and use of location data. Despite these challenges, the long-term outlook for the HD Maps market remains incredibly positive, fueled by the continuous advancement of autonomous driving technology and the increasing demand for improved road safety and traffic management solutions. The market's growth trajectory suggests significant opportunities for both established players and emerging companies in the years to come. We project a substantial increase in market size by 2033, exceeding the 2025 figures by a considerable margin, based on the estimated CAGR.

  12. Google Location History (GLH) mobility dataset

    • zenodo.org
    Updated Jan 4, 2024
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    Thiago Andrade; Thiago Andrade (2024). Google Location History (GLH) mobility dataset [Dataset]. http://doi.org/10.5281/zenodo.8349569
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    Dataset updated
    Jan 4, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Thiago Andrade; Thiago Andrade
    Description

    This is a GPS dataset acquired from Google.

    Google tracks the user’s device location through Google Maps, which also works on Android devices, the iPhone, and the web.
    It’s possible to see the Timeline from the user’s settings in the Google Maps app on Android or directly from the Google Timeline Website.
    It has detailed information such as when an individual is walking, driving, and flying.
    Such functionality of tracking can be enabled or disabled on demand by the user directly from the smartphone or via the website.
    Google has a Take Out service where the users can download all their data or select from the Google products they use the data they want to download.
    The dataset contains 120,847 instances from a period of 9 months or 253 unique days from February 2019 to October 2019 from a single user.
    The dataset comprises a pair of (latitude, and longitude), and a timestamp.
    All the data was delivered in a single CSV file.
    As the locations of this dataset are well known by the researchers, this dataset will be used as ground truth in many mobility studies.

    Please cite the following papers in order to use the datasets:

    T. Andrade, B. Cancela, and J. Gama, "Discovering locations and habits from human mobility data," Annals of Telecommunications, vol. 75, no. 9, pp. 505–521, 2020.
    10.1007/s12243-020-00807-x (DOI)
    and
    T. Andrade, B. Cancela, and J. Gama, "From mobility data to habits and common pathways," Expert Systems, vol. 37, no. 6, p. e12627, 2020.
    10.1111/exsy.12627 (DOI)

  13. My Map Activity

    • library.ncge.org
    Updated Jul 27, 2021
    + more versions
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    NCGE (2021). My Map Activity [Dataset]. https://library.ncge.org/documents/NCGE::my-map-activity--1/about
    Explore at:
    Dataset updated
    Jul 27, 2021
    Dataset provided by
    National Council for Geographic Educationhttp://www.ncge.org/
    Authors
    NCGE
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Author: E Gunderson, educator, Minnesota Alliance for Geographic EducationGrade/Audience: grade 8, high schoolResource type: lessonSubject topic(s): gisRegion: united statesStandards: Minnesota Social Studies Standards

    Standard 1. People use geographic representations and geospatial technologies to acquire, process and report information within a spatial context.Objectives: Students will be able to:

    1. Create a custom map using Google Maps
    2. Collect and plot data using Google MapsSummary: Students will learn the basics of Google Maps while using geospatial data to create their neighborhood map with the places they spend time. They will also collect data of their choice from another source (website, book, personal life) and plot the data using Google Maps.
  14. d

    Tutorial: How to use Google Data Studio and ArcGIS Online to create an...

    • search.dataone.org
    • hydroshare.org
    • +1more
    Updated Apr 15, 2022
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    Sarah Beganskas (2022). Tutorial: How to use Google Data Studio and ArcGIS Online to create an interactive data portal [Dataset]. http://doi.org/10.4211/hs.9edae0ef99224e0b85303c6d45797d56
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    Dataset updated
    Apr 15, 2022
    Dataset provided by
    Hydroshare
    Authors
    Sarah Beganskas
    Description

    This tutorial will teach you how to take time-series data from many field sites and create a shareable online map, where clicking on a field location brings you to a page with interactive graph(s).

    The tutorial can be completed with a sample dataset (provided via a Google Drive link within the document) or with your own time-series data from multiple field sites.

    Part 1 covers how to make interactive graphs in Google Data Studio and Part 2 covers how to link data pages to an interactive map with ArcGIS Online. The tutorial will take 1-2 hours to complete.

    An example interactive map and data portal can be found at: https://temple.maps.arcgis.com/apps/View/index.html?appid=a259e4ec88c94ddfbf3528dc8a5d77e8

  15. D

    Digital Map Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Jun 19, 2025
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    Market Report Analytics (2025). Digital Map Market Report [Dataset]. https://www.marketreportanalytics.com/reports/digital-map-market-88590
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The digital map market, currently valued at $25.55 billion in 2025, is experiencing robust growth, projected to expand at a compound annual growth rate (CAGR) of 13.39% from 2025 to 2033. This expansion is fueled by several key factors. The increasing adoption of location-based services (LBS) across various sectors, including transportation, logistics, and e-commerce, is a primary driver. Furthermore, the proliferation of smartphones and connected devices, coupled with advancements in GPS technology and mapping software, continues to fuel market growth. The rising demand for high-resolution, real-time mapping data for autonomous vehicles and smart city initiatives also significantly contributes to market expansion. Competition among established players like Google, TomTom, and ESRI, alongside emerging innovative companies, is fostering continuous improvement in map accuracy, functionality, and data accessibility. This competitive landscape drives innovation and lowers costs, making digital maps increasingly accessible to a broader range of users and applications. However, market growth is not without its challenges. Data security and privacy concerns surrounding the collection and use of location data represent a significant restraint. Ensuring data accuracy and maintaining up-to-date map information in rapidly changing environments also pose operational hurdles. Regulatory compliance with differing data privacy laws across various jurisdictions adds another layer of complexity. Despite these challenges, the long-term outlook for the digital map market remains positive, driven by the relentless integration of location intelligence into nearly every facet of modern life, from personal navigation to complex enterprise logistics solutions. The market's segmentation (although not explicitly provided) likely includes various map types (e.g., road maps, satellite imagery, 3D maps), pricing models (subscriptions, one-time purchases), and industry verticals served. This diversified market structure further underscores its resilience and potential for sustained growth. Recent developments include: December 2022 - The Linux Foundation has partnered with some of the biggest technology companies in the world to build interoperable and open map data in what is an apparent move t. The Overture Maps Foundation, as the new effort is called, is officially hosted by the Linux Foundation. The ultimate aim of the Overture Maps Foundation is to power new map products through openly available datasets that can be used and reused across applications and businesses, with each member throwing their data and resources into the mix., July 27, 2022 - Google declared the launch of its Street View experience in India in collaboration with Genesys International, an advanced mapping solutions company, and Tech Mahindra, a provider of digital transformation, consulting, and business re-engineering solutions and services. Google, Tech Mahindra, and Genesys International also plan to extend this to more than around 50 cities by the end of the year 2022.. Key drivers for this market are: Growth in Application for Advanced Navigation System in Automotive Industry, Surge in Demand for Geographic Information System (GIS); Increased Adoption of Connected Devices and Internet. Potential restraints include: Growth in Application for Advanced Navigation System in Automotive Industry, Surge in Demand for Geographic Information System (GIS); Increased Adoption of Connected Devices and Internet. Notable trends are: Surge in Demand for GIS and GNSS to Influence the Adoption of Digital Map Technology.

  16. a

    Data from: Google Earth Engine (GEE)

    • hub.arcgis.com
    • data.amerigeoss.org
    • +3more
    Updated Nov 28, 2018
    + more versions
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    AmeriGEOSS (2018). Google Earth Engine (GEE) [Dataset]. https://hub.arcgis.com/items/bb1b131beda24006881d1ab019205277
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    Dataset updated
    Nov 28, 2018
    Dataset authored and provided by
    AmeriGEOSS
    Description

    Meet Earth EngineGoogle Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities and makes it available for scientists, researchers, and developers to detect changes, map trends, and quantify differences on the Earth's surface.SATELLITE IMAGERY+YOUR ALGORITHMS+REAL WORLD APPLICATIONSLEARN MOREGLOBAL-SCALE INSIGHTExplore our interactive timelapse viewer to travel back in time and see how the world has changed over the past twenty-nine years. Timelapse is one example of how Earth Engine can help gain insight into petabyte-scale datasets.EXPLORE TIMELAPSEREADY-TO-USE DATASETSThe public data archive includes more than thirty years of historical imagery and scientific datasets, updated and expanded daily. It contains over twenty petabytes of geospatial data instantly available for analysis.EXPLORE DATASETSSIMPLE, YET POWERFUL APIThe Earth Engine API is available in Python and JavaScript, making it easy to harness the power of Google’s cloud for your own geospatial analysis.EXPLORE THE APIGoogle Earth Engine has made it possible for the first time in history to rapidly and accurately process vast amounts of satellite imagery, identifying where and when tree cover change has occurred at high resolution. Global Forest Watch would not exist without it. For those who care about the future of the planet Google Earth Engine is a great blessing!-Dr. Andrew Steer, President and CEO of the World Resources Institute.CONVENIENT TOOLSUse our web-based code editor for fast, interactive algorithm development with instant access to petabytes of data.LEARN ABOUT THE CODE EDITORSCIENTIFIC AND HUMANITARIAN IMPACTScientists and non-profits use Earth Engine for remote sensing research, predicting disease outbreaks, natural resource management, and more.SEE CASE STUDIESREADY TO BE PART OF THE SOLUTION?SIGN UP NOWTERMS OF SERVICE PRIVACY ABOUT GOOGLE

  17. COVID-19 Community Mobility Reports

    • google.com
    • google.com.tr
    • +3more
    csv, pdf
    Updated Oct 17, 2022
    + more versions
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    Google (2022). COVID-19 Community Mobility Reports [Dataset]. https://www.google.com/covid19/mobility/
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    csv, pdfAvailable download formats
    Dataset updated
    Oct 17, 2022
    Dataset provided by
    Google Searchhttp://google.com/
    Googlehttp://google.com/
    Authors
    Google
    Description

    As global communities responded to COVID-19, we heard from public health officials that the same type of aggregated, anonymized insights we use in products such as Google Maps would be helpful as they made critical decisions to combat COVID-19. These Community Mobility Reports aimed to provide insights into what changed in response to policies aimed at combating COVID-19. The reports charted movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.

  18. d

    GapMaps Live Location Intelligence Platform | Map Data | Easy-to-use| One...

    • datarade.ai
    .csv
    Updated Aug 14, 2024
    + more versions
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    GapMaps (2024). GapMaps Live Location Intelligence Platform | Map Data | Easy-to-use| One Login for Global access [Dataset]. https://datarade.ai/data-products/gapmaps-live-location-intelligence-platform-map-data-easy-gapmaps
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    .csvAvailable download formats
    Dataset updated
    Aug 14, 2024
    Dataset authored and provided by
    GapMaps
    Area covered
    Kenya, India, Egypt, Morocco, United States of America, Oman, Hong Kong, Thailand, Malaysia, United Arab Emirates
    Description

    GapMaps Live is an easy-to-use location intelligence platform available across 25 countries globally that allows you to visualise your own store data, combined with the latest demographic, economic and population movement intel right down to the micro level so you can make faster, smarter and surer decisions when planning your network growth strategy.

    With one single login, you can access the latest estimates on resident and worker populations, census metrics (eg. age, income, ethnicity), consuming class, retail spend insights and point-of-interest data across a range of categories including fast food, cafe, fitness, supermarket/grocery and more.

    Some of the world's biggest brands including McDonalds, Subway, Burger King, Anytime Fitness and Dominos use GapMaps Live Map Data as a vital strategic tool where business success relies on up-to-date, easy to understand, location intel that can power business case validation and drive rapid decision making.

    Primary Use Cases for GapMaps Live Map Data include:

    1. Retail Site Selection - Identify optimal locations for future expansion and benchmark performance across existing locations.
    2. Customer Profiling: get a detailed understanding of the demographic profile of your customers and where to find more of them.
    3. Analyse your catchment areas at a granular grid levels using all the key metrics
    4. Target Marketing: Develop effective marketing strategies to acquire more customers.
    5. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)
    6. Customer Profiling
    7. Target Marketing
    8. Market Share Analysis

    Some of features our clients love about GapMaps Live Map Data include: - View business locations, competitor locations, demographic, economic and social data around your business or selected location - Understand consumer visitation patterns (“where from” and “where to”), frequency of visits, dwell time of visits, profiles of consumers and much more. - Save searched locations and drop pins - Turn on/off all location listings by category - View and filter data by metadata tags, for example hours of operation, contact details, services provided - Combine public data in GapMaps with views of private data Layers - View data in layers to understand impact of different data Sources - Share maps with teams - Generate demographic reports and comparative analyses on different locations based on drive time, walk time or radius. - Access multiple countries and brands with a single logon - Access multiple brands under a parent login - Capture field data such as photos, notes and documents using GapMaps Connect and integrate with GapMaps Live to get detailed insights on existing and proposed store locations.

  19. M

    Mobile Mapping Market Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Jan 21, 2025
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    Pro Market Reports (2025). Mobile Mapping Market Report [Dataset]. https://www.promarketreports.com/reports/mobile-mapping-market-8779
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Jan 21, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

    https://www.promarketreports.com/privacy-policyhttps://www.promarketreports.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Components: Hardware: Includes mobile mapping systems, sensors, and other equipment Software: Includes software for data collection, processing, and visualization Services: Includes data collection, processing, and analysis servicesSolutions: Location-based: Provides location-based information and services Indoor mapping: Creates maps of indoor spaces Asset management: Helps manage assets and track their location 3D mapping: Creates 3D models of buildings and infrastructureApplications: Land surveys: Used for surveying land and creating maps Aerial surveys: Used for surveying areas from the air Real estate & construction: Used for planning and designing buildings and infrastructure IT & telecom: Used for network planning and management Recent developments include: One of the pioneers in wearable mobile mapping technology, NavVis, revealed the NavVis VLX 3, their newest generation of wearable technology. As the name suggests, this is the third version of their wearable VLX system; the NavVis VLX 2 was released in July of 2021, which is over two years ago. In their news release, NavVis emphasises the NavVis VLX 3's improved accuracy in point clouds by highlighting the two brand-new, 32-layer lidars that have been "meticulously designed and crafted" to minimise noise and drift in point clouds while delivering "high detail at range.", According to the North American Mach9 Software Platform, mobile Lidar will produce 2D and 3D maps 30 times faster than current systems by 2023., Even though this is Mach9's first product launch, the business has already begun laying the groundwork for future expansion by updating its website, adding important engineering and sales professionals, relocating to new headquarters in Pittsburgh's Bloomfield area, and forging ties in Silicon Valley., In order to make search more accessible to more users in more useful ways, Google has unveiled a tonne of new search capabilities for 2022 spanning Google Search, Google Lens, Shopping, and Maps. These enhancements apply to Google Maps, Google Shopping, Google Leons, and Multisearch., A multi-year partnership to supply Velodyne Lidar, Inc.'s lidar sensors to GreenValley International for handheld, mobile, and unmanned aerial vehicle (UAV) 3D mapping solutions, especially in GPS-denied situations, was announced in 2022. GreenValley is already receiving sensors from Velodyne., The acquisition of UK-based GeoSLAM, a leading provider of mobile scanning solutions with exclusive high-productivity simultaneous localization and mapping (SLAM) programmes to create 3D models for use in Digital Twin applications, is expected to close in 2022 and be completed by FARO® Technologies, Inc., a global leader in 4D digital reality solutions., November 2022: Topcon donated to TU Dublin as part of their investment in the future of construction. Students learning experiences will be improved by instruction in the most cutting-edge digital building techniques at Ireland's first technical university., October 2022: Javad GNSS Inc has released numerous cutting-edge GNSS solutions for geospatial applications. The TRIUMPH-1M Plus and T3-NR smart antennas, which employ upgraded Wi-Fi, Bluetooth, UHF, and power management modules and integrate the most recent satellite tracking technology into the geospatial portfolio, are two examples of important items.. Key drivers for this market are: Improvements in GPS, LiDAR, and camera technologies have significantly enhanced the accuracy and efficiency of mobile mapping systems. Potential restraints include: The initial investment required for mobile mapping equipment, including sensors and software, can be a barrier for small and medium-sized businesses.. Notable trends are: Mobile mapping systems are increasingly integrated with cloud platforms and AI technologies to process and analyze large datasets, enabling more intelligent mapping and predictive analytics.

  20. e

    WMTS View Service for the Cadastral Map (KM) - Google Maps Scale Set

    • data.europa.eu
    • agrihub.cz
    wms
    Updated Feb 3, 2021
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    (2021). WMTS View Service for the Cadastral Map (KM) - Google Maps Scale Set [Dataset]. https://data.europa.eu/data/datasets/cz-00025712-cuzk_wmts-google-md_km?locale=en
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    wmsAvailable download formats
    Dataset updated
    Feb 3, 2021
    Description

    Web map tile service (WMTS), which enables viewing of cadastral map both in digital and analogue form. Data are provided in a form of map tiles in WGS84/Pseudo-Mercator coordinate reference system. A Google Maps compatible scale set is used. The service fulfills the OGC WMTS 1.0.0 standard. The service is publicly available, free-of-charge and covers the whole territory of the Czech Republic. All layers except overview map are provided in levels 17 (1 : 4 265) to 25 (1 : 16).

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Statista (2022). Average data use of leading navigation apps in the U.S. 2020 [Dataset]. https://www.statista.com/statistics/1186009/data-use-leading-us-navigation-apps/
Organization logo

Average data use of leading navigation apps in the U.S. 2020

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Dataset updated
Nov 30, 2022
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Oct 2020
Area covered
United States
Description

As of October 2020, the average amount of mobile data used by Apple Maps per 20 minutes was 1.83 MB, while Google maps used only 0.73 MB. Waze, which is also owned by Google, used the least amount at 0.23 MB per 20 minutes.

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