100+ datasets found
  1. p

    Geo Open - IP address geolocation per country in MMDB format

    • data.public.lu
    mmdb
    Updated Aug 25, 2025
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    Computer Incident Response Center Luxembourg (2025). Geo Open - IP address geolocation per country in MMDB format [Dataset]. https://data.public.lu/en/datasets/geo-open-ip-address-geolocation-per-country-in-mmdb-format/
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    mmdb(9664234), mmdb(68142342), mmdb(68387114), mmdb(9796548), mmdb(69153266), mmdb(9801012), mmdb(69095853), mmdb(9867892), mmdb(69443906), mmdb(9901084), mmdb(9941900), mmdb(70109053), mmdb(10128894), mmdb(10153102), mmdb(10107878), mmdb(10163366), mmdb(10249894), mmdb(10278862), mmdb(10344182), mmdb(73027607), mmdb(73280284), mmdb(10519550), mmdb(73895303), mmdb(74731206), mmdb(10223050), mmdb(72376809), mmdb(10311426), mmdb(10314146), mmdb(73944255), mmdb(74657407), mmdb(10754226), mmdb(75221957), mmdb(10783528), mmdb(75559274), mmdb(9276592), mmdb(9280472), mmdb(9269824), mmdb(9367200), mmdb(9348184), mmdb(9276216), mmdb(9370424), mmdb(9403256), mmdb(9406664), mmdb(9279800), mmdb(9277856), mmdb(9403704), mmdb(9413064), mmdb(9426578), mmdb(67319586), mmdb(67315508), mmdb(9491850), mmdb(67299670), mmdb(9640090), mmdb(9843284), mmdb(10028790), mmdb(70898406), mmdb(71529791), mmdb(10195478), mmdb(9285408), mmdb(9326208), mmdb(9375064), mmdb(9273232), mmdb(9273480), mmdb(9349608), mmdb(9398168), mmdb(9303264), mmdb(9370624), mmdb(9387648), mmdb(9414904), mmdb(9396216), mmdb(9419858), mmdb(9425722), mmdb(9444026), mmdb(9428898), mmdb(9466514), mmdb(9547964), mmdb(9491426), mmdb(67457616), mmdb(67213033), mmdb(67243969), mmdb(9514250), mmdb(67885793), mmdb(9688864), mmdb(69501170), mmdb(70013903), mmdb(9964606), mmdb(70514489), mmdb(10097478), mmdb(71293535), mmdb(71630350), mmdb(71989592), mmdb(71821414), mmdb(10211558), mmdb(10329550), mmdb(72352123), mmdb(10364718), mmdb(72475214), mmdb(10432566), mmdb(10417286), mmdb(10266040), mmdb(71966175), mmdb(72597995), mmdb(73479884), mmdb(10530214), mmdb(10611870), mmdb(73364057), mmdb(10642342), mmdb(73952250), mmdb(74047220), mmdb(74061548), mmdb(10628502), mmdb(10677498), mmdb(73865542), mmdb(74430269), mmdb(10668106), mmdb(72980863), mmdb(10382730), mmdb(72628081), mmdb(10263266), mmdb(72120440), mmdb(10363578), mmdb(72865721), mmdb(10289042), mmdb(75278387), mmdb(10725746), mmdb(73007493), mmdb(10457114), mmdb(10562402), mmdb(74587520), mmdb(10607002), mmdb(10654162), mmdb(10610674), mmdb(10613794), mmdb(74874333), mmdb(10660474), mmdb(10782930), mmdb(75509660), mmdb(11129464), mmdb(77810290), mmdb(77672856), mmdb(11101352), mmdb(77816310), mmdb(10659330), mmdb(74201290), mmdb(74204542), mmdb(10620410), mmdb(10600914), mmdb(74326507), mmdb(10692986), mmdb(10734970), mmdb(10734586), mmdb(10187610), mmdb(74196517), mmdb(10535506), mmdb(74365402), mmdb(74939267), mmdb(11121464)Available download formats
    Dataset updated
    Aug 25, 2025
    Dataset authored and provided by
    Computer Incident Response Center Luxembourg
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Description

    Geo Open is an IP address geolocation per country in MMDB format. The database can be used as a replacement for software using the MMDB format. Information about MMDB format: https://maxmind.github.io/MaxMind-DB/ Open source server using Geo Open: https://github.com/adulau/mmdb-server Open source library to read MMDB file: https://github.com/maxmind/MaxMind-DB-Reader-python Historical dataset: https://cra.circl.lu/opendata/geo-open/ The database is automatically generated from public BGP AS announces matching the country code. The precision is at country level.

  2. d

    IPv4 geolocation

    • datahub.io
    Updated Sep 1, 2017
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    (2017). IPv4 geolocation [Dataset]. https://datahub.io/core/geoip2-ipv4
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    Dataset updated
    Sep 1, 2017
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    Database of IPv4 address networks with their respective geographical location.

    Based on GeoLite2 Country Free Downloadable Databases as of Apr 21, 2015 http://dev.maxmind.com/geoip/geoip2/geolite2/...

  3. I

    IP Address Lookup Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 11, 2025
    + more versions
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    Data Insights Market (2025). IP Address Lookup Report [Dataset]. https://www.datainsightsmarket.com/reports/ip-address-lookup-509617
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    May 11, 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 IP address lookup market is experiencing robust growth, driven by the increasing reliance on location-based services, cybersecurity needs, and the expansion of the internet infrastructure globally. The market, estimated at $250 million in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $800 million by 2033. This growth is fueled by several key factors. The proliferation of mobile devices and the Internet of Things (IoT) necessitates accurate IP geolocation for personalized experiences, targeted advertising, and fraud detection. Furthermore, the rising concerns about cyber threats and data privacy are increasing the demand for sophisticated IP address lookup solutions capable of identifying malicious actors and protecting sensitive data. The market is segmented by application (SMEs and large enterprises) and type (cloud-based and on-premises solutions), with cloud-based solutions gaining significant traction due to their scalability, cost-effectiveness, and ease of implementation. North America and Europe currently hold the largest market shares, but the Asia-Pacific region is anticipated to witness substantial growth in the coming years, driven by increasing internet penetration and digital transformation initiatives. While competitive pressures and the need for continuous innovation present some restraints, the overall market outlook for IP address lookup services remains optimistic. The competitive landscape is characterized by a mix of established players and emerging startups. Major players like MaxMind, IP2Location, and IPinfo offer comprehensive IP geolocation databases and APIs, catering to diverse customer needs. However, new entrants are also making significant inroads, particularly in niche areas such as specialized data enrichment and advanced analytics. The market's future hinges on technological advancements, such as the development of more accurate and faster IP geolocation algorithms, the integration of machine learning for improved fraud detection, and the adoption of innovative pricing models that align with the diverse needs of customers. The successful players will be those who can effectively adapt to evolving technological demands and regulatory frameworks while maintaining data accuracy and security. This necessitates continuous investment in research and development, as well as strategic partnerships with data providers and technology vendors.

  4. Geolocation Data [Longitude Latitude]

    • kaggle.com
    Updated Mar 12, 2022
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    You Sheng (2022). Geolocation Data [Longitude Latitude] [Dataset]. https://www.kaggle.com/datasets/liewyousheng/geolocation
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 12, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    You Sheng
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    Context

    Full Database of city state country available in CSV format. All Countries, States & Cities are Covered & Populated with Different Combinations & Versions.

    Each CSV has the 1. Longitude 2. Latitude

    of each location, alongside other miscellaneous country data such as 3. Currency 4. State code 5. Phone country code

    Content

    Total Countries : 250 Total States/Regions/Municipalities : 4,963 Total Cities/Towns/Districts : 148,061

    Last Updated On : 29th January 2022

    Source

    https://github.com/dr5hn/countries-states-cities-database

  5. i

    IPLocate IP to Country database

    • iplocate.io
    Updated May 6, 2025
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    IPLocate (2025). IPLocate IP to Country database [Dataset]. https://www.iplocate.io/free-databases?ref=producthunt
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    IPLocate
    License

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

    Description

    Accurate, daily-updated country-level IP geolocation database. GeoIP-compatible, open license, free to download and use for any purpose.

  6. I

    IP Address Lookup Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 10, 2025
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    Market Report Analytics (2025). IP Address Lookup Report [Dataset]. https://www.marketreportanalytics.com/reports/ip-address-lookup-74608
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 10, 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 IP address lookup market is experiencing robust growth, driven by increasing demand for geolocation services, cybersecurity solutions, and fraud prevention measures across various industries. The market's expansion is fueled by the proliferation of internet-connected devices, the rise of big data analytics, and the growing need for accurate user identification and location tracking. While cloud-based solutions dominate due to scalability and cost-effectiveness, on-premises deployments remain significant for organizations with stringent data security requirements. Large enterprises are major consumers, leveraging IP address lookups for targeted advertising, network security, and compliance purposes. SMEs, however, are increasingly adopting these solutions to improve customer experience and optimize online operations. The market is geographically diverse, with North America and Europe currently leading, but Asia-Pacific is projected to witness significant growth in the coming years due to rapid digitalization and expanding internet penetration. Competition is intense, with a mix of established players and emerging startups offering a range of services, from basic IP geolocation to advanced data intelligence and fraud detection tools. Factors hindering market growth include data privacy concerns, increasing regulatory scrutiny, and the potential for inaccurate or outdated IP data. The forecast period (2025-2033) anticipates continued market expansion, with a projected Compound Annual Growth Rate (CAGR) driving substantial revenue increases. This growth will be fueled by technological advancements in IP geolocation accuracy, integration with other analytical tools, and the emergence of innovative applications within industries like e-commerce, fintech, and advertising. While challenges related to data privacy and accuracy persist, ongoing innovation and industry consolidation are poised to mitigate these risks and drive wider adoption. The market segmentation will likely remain stable, with the continued dominance of cloud-based solutions and strong demand from both large enterprises and SMEs. Regional variations will persist, reflecting differing levels of digital infrastructure and regulatory frameworks across the globe. However, emerging economies in Asia-Pacific are likely to significantly increase their market share throughout the forecast period.

  7. i

    IPLocate Free IP Geolocation databases

    • iplocate.io
    csv, mmdb
    Updated May 6, 2025
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    IPLocate (2025). IPLocate Free IP Geolocation databases [Dataset]. https://www.iplocate.io/free-databases?ref=producthunt
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    mmdb, csvAvailable download formats
    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    IPLocate
    License

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

    Time period covered
    2017 - 2025
    Description

    Accurate, daily-updated country-level IP geolocation and IP to Autonomous System (ASN) databases. GeoIP-compatible, open license, free to download and use for any purpose.

  8. Geolocation Test Data

    • data.csiro.au
    • researchdata.edu.au
    Updated Jun 27, 2014
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    Jason Hartog; Marinelle Basson (2014). Geolocation Test Data [Dataset]. http://doi.org/10.4225/08/53AD0E4AF2C52
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    Dataset updated
    Jun 27, 2014
    Dataset provided by
    CSIROhttp://www.csiro.au/
    Authors
    Jason Hartog; Marinelle Basson
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Time period covered
    Nov 19, 2008 - Jun 18, 2009
    Area covered
    Dataset funded by
    CSIROhttp://www.csiro.au/
    Description

    A collection of archival tag datasets in csv format used for testing geo-location techniques.

    Lineage: This data was collected by attaching archival tags to IMOS National Reference Stations at Maria Island, Rottnest Island and Esperance

    The locations of the reference stations are:

    Rottnest Island S32°00.06', E115°24.89'

    Esperance S33°56.00', E121°51.01'

    Maria Island S42°35.79', E148°14.04'

  9. d

    Maxmind IP Geolocation Archival Data

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    Sood, Gaurav (2023). Maxmind IP Geolocation Archival Data [Dataset]. http://doi.org/10.7910/DVN/RMZOEN
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Sood, Gaurav
    Description

    Maxmind IP Geolocation Archival Data Because of GDPR concerns, Maxmind doesn't provide historical data. We have used this data to do historical studies of IP data for MTurk, etc. and it is quite possible that such data would be useful elsewhere. Maxmind changed its db format from geolite to geolite2 and you will need to use its respective packages for the two formats to read the binary files. The data is provided for research purposes alone.

  10. i

    Philippines as of 2020

    • ieee-dataport.org
    Updated Nov 8, 2022
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    Armie Pakzad (2022). Philippines as of 2020 [Dataset]. https://ieee-dataport.org/documents/tvws-geolocation-database-greater-manila-area-philippines-2020
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    Dataset updated
    Nov 8, 2022
    Authors
    Armie Pakzad
    License

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

    Area covered
    Greater Manila Area, Philippines
    Description

    These datasets contain the database of the local television channels in the greater manila area (GMA) in the Philippines as of 2020.

  11. NOAA-20 VIIRS Level-1 Geolocation Product Data, version 2

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Aug 29, 2025
    + more versions
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    OBPG;NASA/GSFC/SED/ESD/GCDC/OB.DAAC (2025). NOAA-20 VIIRS Level-1 Geolocation Product Data, version 2 [Dataset]. https://catalog.data.gov/dataset/noaa-20-viirs-level-1-geolocation-product-data-version-2
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    Dataset updated
    Aug 29, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The Visible and Infrared Imager/Radiometer Suite (VIIRS) Geolocation (GEO) Products are data containing terrain corrected solar zenith and azimuth angles, satellite zenith and azimuth angles, as well as latitudes and longitudes for each VIIRS grid point for each of the three VIIRS resolutions. (375m, 750m, and DNB).

  12. c

    Geolocated Router Dataset

    • catalog.caida.org
    Updated Nov 15, 2017
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    CAIDA (2017). Geolocated Router Dataset [Dataset]. https://catalog.caida.org/dataset/geolocated_router
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    Dataset updated
    Nov 15, 2017
    Dataset authored and provided by
    CAIDA
    License

    https://www.caida.org/about/legal/aua/public_aua/https://www.caida.org/about/legal/aua/public_aua/

    https://www.caida.org/about/legal/aua/https://www.caida.org/about/legal/aua/

    Time period covered
    May 25, 2016
    Description

    A collection of router interface IP addresses geolocated to the city level. 11,857 IP addressed geolocated based on DNS names and 4,838 IP addresses geolocated based on RTT proximity to RIPE Atlas probes. The DNS-based data was created on May 15, 2016. The RTT-proximity data was created from measurements collected on May 25, 2016. The total number of addresses in the dataset is 16586 (109 addresses found to be common between the two sources of data with very similar locations). Data supplement for paper M. Gharaibeh, A. Shah, B. Huffaker, H. Zhang, R. Ensafi, and C. Papadopoulos, A Look at Router Geolocation in Public and Commercial Databases, Proc. Internet Measurement Conference (IMC), Nov 2017.

  13. D

    IP Geolocation Software Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 22, 2024
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    Dataintelo (2024). IP Geolocation Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-ip-geolocation-software-market
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    pptx, csv, pdfAvailable download formats
    Dataset updated
    Sep 22, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    IP Geolocation Software Market Outlook



    The global IP geolocation software market size is projected to grow from USD 1.2 billion in 2023 to USD 2.8 billion by 2032, at a compound annual growth rate (CAGR) of 10%. This robust growth can be attributed to the increasing need for advanced geolocation solutions across various industries to enhance security, customer experience, and regulatory compliance. The exponential rise in internet users and the proliferation of connected devices are significantly driving the demand for IP geolocation software worldwide.



    One of the primary growth factors for the IP geolocation software market is the escalating concerns over cybersecurity. With the increasing incidence of cyber-attacks and fraud, organizations are compelled to adopt sophisticated geolocation tools to pinpoint the source of threats, thereby mitigating risks. The ability of these tools to deliver real-time location data enhances their appeal among enterprises looking to bolster their security infrastructure. Furthermore, regulatory mandates across industries, especially in regions like Europe and North America, necessitate the use of location-based authentication and monitoring, further propelling the market growth.



    Another significant driver is the growing adoption of geomarketing. Businesses are leveraging geolocation data to create personalized marketing campaigns, which can lead to higher conversion rates and customer satisfaction. The ability to track customer locations and deliver location-specific advertisements is proving to be a game-changer in the retail and e-commerce sectors. Moreover, advancements in machine learning and artificial intelligence are augmenting the capabilities of IP geolocation software, enabling more precise and actionable insights.



    The surge in the usage of cloud services is also contributing to the market expansion. Cloud-based IP geolocation solutions offer scalability, flexibility, and cost-efficiency, making them an attractive option for businesses of all sizes. These solutions facilitate seamless integration with existing systems and provide real-time data analytics, which are crucial for making informed decisions. The trend toward digital transformation across various sectors, including BFSI, retail, and telecommunications, is further amplifying the demand for cloud-based geolocation services.



    From a regional perspective, North America holds a dominant position in the IP geolocation software market, driven by the presence of leading technology companies and high internet penetration rates. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. Factors such as the rapid digitalization of economies, increasing internet user base, and rising investments in cybersecurity infrastructure are accelerating the market growth in this region. Europe also presents significant growth opportunities due to stringent data privacy laws and robust adoption of advanced technologies across various sectors.



    Component Analysis



    The IP geolocation software market is segmented by component into software and services. The software segment is expected to hold the largest market share, driven by the increasing need for sophisticated geolocation tools that offer real-time data analytics and enhanced security features. Businesses are investing heavily in software solutions to leverage geolocation data for various applications such as fraud detection, customer experience enhancement, and compliance. The continuous advancements in software technology, including the integration of artificial intelligence and machine learning, are further boosting the adoption of IP geolocation software.



    On the other hand, the services segment is also poised for substantial growth. As businesses increasingly adopt geolocation software, the demand for associated services such as consulting, implementation, and support is rising. Service providers play a crucial role in helping organizations effectively deploy and manage geolocation solutions, ensuring they derive maximum value from their investments. The growing complexity of cybersecurity threats and the need for specialized expertise in handling geolocation data are key factors driving the demand for services in this market.



    Moreover, the rise of managed services is another notable trend within the services segment. Many organizations prefer outsourcing the management of their geolocation solutions to third-party providers to focus on their core business activities. Managed service providers offer end-to-end solutions, including continuo

  14. I

    IP Geo-Location Service Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 24, 2025
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    Data Insights Market (2025). IP Geo-Location Service Report [Dataset]. https://www.datainsightsmarket.com/reports/ip-geo-location-service-1958010
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Apr 24, 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 IP Geo-location Service market is experiencing robust growth, driven by the increasing adoption of location-based services across various sectors. The market, estimated at $5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $15 billion by 2033. This expansion is fueled primarily by the burgeoning demand from OTT content providers seeking to personalize user experiences, online retailers striving for targeted advertising and optimized delivery, and gaming operators needing accurate player location for fair play and regional content delivery. Furthermore, the rise of IoT devices and the expanding need for cybersecurity solutions are significantly contributing to market growth. Cloud-based solutions are dominating the market due to their scalability, cost-effectiveness, and ease of integration, while the on-premise segment retains a niche for enterprises with stringent security requirements. North America currently holds the largest market share, followed by Europe and Asia Pacific, reflecting the higher penetration of internet and mobile technologies in these regions. However, several factors restrain market growth. Data privacy concerns and regulations, such as GDPR, are creating challenges for data collection and usage. Accuracy issues related to IP geolocation, particularly in densely populated areas, remain a concern. Furthermore, the emergence of alternative location technologies, like GPS and Wi-Fi positioning, poses a potential competitive threat. Despite these challenges, the overall market outlook for IP geolocation services remains positive, driven by ongoing technological advancements, increasing data demand from various sectors, and the rising adoption of location-based services globally. The competitive landscape is marked by a mix of established players and emerging companies, leading to innovation and increased service offerings. Strategic partnerships and acquisitions are expected to further shape the market dynamics in the coming years.

  15. C

    BAN - National Address Database - Paris

    • ckan.mobidatalab.eu
    Updated Jun 19, 2017
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    BAN (2017). BAN - National Address Database - Paris [Dataset]. https://ckan.mobidatalab.eu/dataset/ban-base-address-national-paris
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    https://www.iana.org/assignments/media-types/application/json, https://www.iana.org/assignments/media-types/text/csv, https://www.iana.org/assignments/media-types/application/zipAvailable download formats
    Dataset updated
    Jun 19, 2017
    Dataset provided by
    BAN
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Paris
    Description

    The National Address Base is a database that aims to reference all addresses in France.

    It contains the geographical position of more than 25 million addresses.

    It is formed by the collaboration between:

    • national players such as IGN, La Poste and La Poste,
    • local players such as communities, municipalities, SDIS,
    • citizens for example through the OpenStreetMap project and the OpenStreetMap France association.

    The project is co-governed by the General Data Administrator and the National Council for Geographic Information.

    It is published on the site address.data.gouv.fr developed by the Etalab mission of the General Secretariat for the Modernization of Public Action (SGMAP).

    The data is available under two licenses:< /p>

    • ODbL 1.0 License (Open Database License)
    • Free Reshare License

    A free geocoding service is provided by the Etalab mission.

  16. d

    Places Data | Global | Real-Time Geolocation API with Polygon Queries

    • datarade.ai
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    Irys, Places Data | Global | Real-Time Geolocation API with Polygon Queries [Dataset]. https://datarade.ai/data-products/irys-geospatial-data-insights-global-real-time-histor-irys
    Explore at:
    .json, .csv, .xls, .sqlAvailable download formats
    Dataset authored and provided by
    Irys
    Area covered
    Kazakhstan, Micronesia (Federated States of), Trinidad and Tobago, Namibia, Paraguay, Venezuela (Bolivarian Republic of), Liberia, Finland, South Africa, Jordan
    Description

    This places data product gives you direct access to real-time and historical geolocation signals, allowing you to analyze human movement around POIs and custom-defined areas of interest. The Irys Location API lets you query anonymized mobile GPS events using precise polygons, supporting both high-frequency live monitoring and deep historical backfill.

    Each data point includes:

    Device ID (IDFA/GAID) GPS coordinates (lat/lon) Timestamps (epoch & date) Country codes Horizontal accuracy (85% fill rate) Optional IP addresses, carrier, and device metadata

    Irys supports output in Parquet, CSV, or JSON, and offers hourly or daily delivery via API, AWS S3, or Google Cloud. Events are typically available with 95% coverage within a 3-day lag, and historical data goes back to September 2022.

    Flexible Features:

    Query by polygon (up to 10,000 tiles per query) Credit-based pricing system, scalable from test to production Optional schema customization & delivery folder structure Fully GDPR and CCPA compliant

  17. D

    IP Geolocation Solutions Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
    + more versions
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    Dataintelo (2024). IP Geolocation Solutions Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/ip-geolocation-solutions-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    IP Geolocation Solutions Market Outlook



    In 2023, the IP Geolocation Solutions market size was valued at approximately USD 2.5 billion and is projected to reach USD 8.1 billion by 2032, growing at a compound annual growth rate (CAGR) of 13.5% during the forecast period. This robust growth is primarily driven by the increasing demand for location-based services, the rising importance of customer behavior insights, and enhanced regulatory compliance requirements across various industries. As businesses continue to embrace digital transformation, the utility of IP geolocation solutions in tailoring content, detecting fraud, and ensuring compliance is driving a sustained demand upward trajectory. The market's continued growth is further propelled by advancements in technology and the widespread adoption of internet-enabled devices globally.



    The burgeoning demand for sophisticated fraud detection mechanisms is a significant growth factor in the IP Geolocation Solutions market. As cyber threats become increasingly complex and frequent, businesses are investing heavily in advanced geolocation technologies to bolster their fraud detection capabilities. These solutions enable organizations to identify suspicious transactions and activities by analyzing location data, which plays a crucial role in mitigating risks associated with online fraud. Furthermore, industries such as banking, finance, and e-commerce are increasingly relying on these solutions to secure transactions and build consumer trust. This growing dependency on IP geolocation technologies for fraud prevention and detection is expected to continue fueling the market's expansion.



    Content personalization represents another substantial growth driver for the IP Geolocation Solutions market. As consumer expectations for tailored experiences increase, businesses are leveraging geolocation data to offer more personalized and relevant content. This trend is particularly prominent in the media and entertainment industry, where location-based data is used to deliver location-specific content and advertisements, significantly enhancing customer engagement and satisfaction. In addition, geolocation solutions are being utilized in the retail sector to provide customized offers and promotions, further boosting their market adoption. As businesses strive to enhance customer loyalty and retention, the demand for content personalization solutions is anticipated to rise, contributing to the market's growth.



    Compliance and regulatory requirements are also fueling the adoption of IP geolocation solutions. With the introduction of data protection laws like GDPR and CCPA, organizations are under increased pressure to manage and protect user data effectively. Geolocation solutions aid in ensuring compliance by enabling businesses to track and record user locations, thus helping to determine jurisdictional regulations. Moreover, these solutions assist in managing cross-border data transfers, ensuring that companies remain compliant with international regulations. As regulatory scrutiny intensifies globally, the necessity for geolocation solutions to assist in compliance efforts is poised to drive market growth significantly.



    The regional outlook of the IP Geolocation Solutions market reveals significant growth prospects across various geographies. North America, with its advanced technological infrastructure and high adoption rates of location-based services, holds a substantial market share. The presence of major market players and the increasing implementation of geolocation solutions in sectors such as retail and BFSI further bolster the region's market position. Meanwhile, the Asia Pacific region is expected to witness the highest CAGR during the forecast period, fueled by rapid digitalization, expanding e-commerce activities, and growing governmental initiatives for smart city projects. Europe also presents promising growth opportunities, driven by stringent regulatory frameworks and a strong focus on data protection. As these regions continue to innovate and adopt new technologies, the IP Geolocation Solutions market is set to experience substantial growth globally.



    Component Analysis



    The IP Geolocation Solutions market, segmented by component into software and services, reflects a diverse range of offerings tailored to different business needs. The software segment encompasses a variety of applications designed to analyze and utilize location data, offering features such as real-time tracking, data analysis, and integration capabilities. These advanced software solutions provide businesses with the tools to extract valuable insights from location dat

  18. d

    Replication Data for: \"Lost in Space: Geolocation in Event Data\"

    • search.dataone.org
    • dataverse.harvard.edu
    • +1more
    Updated Nov 22, 2023
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    Lee, Sophie J.; Liu, Howard; Ward, Michael D. (2023). Replication Data for: \"Lost in Space: Geolocation in Event Data\" [Dataset]. http://doi.org/10.7910/DVN/U4Q0FR
    Explore at:
    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Lee, Sophie J.; Liu, Howard; Ward, Michael D.
    Description

    Improving geolocation accuracy in text data has long been a goal of automated text processing. We depart from the conventional method and introduce a two-stage supervised machine learning algorithm that evaluates each location mention to be either correct or incorrect. We extract contextual information from texts, i.e., N-gram patterns for location words, mention frequency, and the context of sentences containing location words. We then estimate model parameters using a training dataset and use this model to predict whether a location word in the test dataset accurately represents the location of an event. We demonstrate these steps by constructing customized geolocation event data at the subnational level using news articles collected from around the world. The results show that the proposed algorithm outperforms existing geocoders even in a case added post hoc to test the generality of the developed algorithm.

  19. d

    AdPreference IP To Geolocation Data | USA | Up To 1B Polygons | Updated...

    • datarade.ai
    Updated Sep 26, 2025
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    AdPreference (2025). AdPreference IP To Geolocation Data | USA | Up To 1B Polygons | Updated Regularly | Polygon Data | Geographic Data | IP Coverage [Dataset]. https://datarade.ai/data-products/adpreference-ip-to-geolocation-data-usa-up-to-1b-polygons-adpreference
    Explore at:
    .json, .csv, .parquet, .geojsonAvailable download formats
    Dataset updated
    Sep 26, 2025
    Dataset authored and provided by
    AdPreference
    Area covered
    United States
    Description

    Our IP address coverage data delivers large-scale digital and location intelligence, refreshed in real-time to power critical business functions. With our data, you can connect an IP address to a precise geographic location, enabling you to build powerful, location-aware applications and derive deep consumer insights.

    Leverage our data solutions for the following use cases: 🎯 Targeted, Data-Driven Advertising ✅ Data Validation & Model Building 📍 Travel & Location-Based Targeting ❌ Fraud Detection & Prevention

    With AdPreference, expect the following key benefits through our partnership: 💪 Augment Data Attributes 🚀 Enrich CRM 🧑‍🤝‍🧑 Personalize Audience 🔍 Audience Curation

    Access the largest and most customizable IP coverage data with AdPreference. Supercharge your needs with unique and enriched location and digital intelligence not found anywhere else.

  20. Geolocation data shared by mobile users in France 2019, by type of data

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). Geolocation data shared by mobile users in France 2019, by type of data [Dataset]. https://www.statista.com/statistics/1092702/geolocation-data-sharing-france/
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    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    France
    Description

    Focusing on the type of location data French mobile users are willing to share with brands through geolocation, it appears that the majority of the respondents would not share their residence, workplace or current location. From the sample, ** percent mentioned that they were open to share their current position to receive personalized offers from brands, ** percent would share their area of residence and ** percent would share their workplace location.

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Computer Incident Response Center Luxembourg (2025). Geo Open - IP address geolocation per country in MMDB format [Dataset]. https://data.public.lu/en/datasets/geo-open-ip-address-geolocation-per-country-in-mmdb-format/

Geo Open - IP address geolocation per country in MMDB format

geo-open-ip-address-geolocation-per-country-in-mmdb-format

Explore at:
mmdb(9664234), mmdb(68142342), mmdb(68387114), mmdb(9796548), mmdb(69153266), mmdb(9801012), mmdb(69095853), mmdb(9867892), mmdb(69443906), mmdb(9901084), mmdb(9941900), mmdb(70109053), mmdb(10128894), mmdb(10153102), mmdb(10107878), mmdb(10163366), mmdb(10249894), mmdb(10278862), mmdb(10344182), mmdb(73027607), mmdb(73280284), mmdb(10519550), mmdb(73895303), mmdb(74731206), mmdb(10223050), mmdb(72376809), mmdb(10311426), mmdb(10314146), mmdb(73944255), mmdb(74657407), mmdb(10754226), mmdb(75221957), mmdb(10783528), mmdb(75559274), mmdb(9276592), mmdb(9280472), mmdb(9269824), mmdb(9367200), mmdb(9348184), mmdb(9276216), mmdb(9370424), mmdb(9403256), mmdb(9406664), mmdb(9279800), mmdb(9277856), mmdb(9403704), mmdb(9413064), mmdb(9426578), mmdb(67319586), mmdb(67315508), mmdb(9491850), mmdb(67299670), mmdb(9640090), mmdb(9843284), mmdb(10028790), mmdb(70898406), mmdb(71529791), mmdb(10195478), mmdb(9285408), mmdb(9326208), mmdb(9375064), mmdb(9273232), mmdb(9273480), mmdb(9349608), mmdb(9398168), mmdb(9303264), mmdb(9370624), mmdb(9387648), mmdb(9414904), mmdb(9396216), mmdb(9419858), mmdb(9425722), mmdb(9444026), mmdb(9428898), mmdb(9466514), mmdb(9547964), mmdb(9491426), mmdb(67457616), mmdb(67213033), mmdb(67243969), mmdb(9514250), mmdb(67885793), mmdb(9688864), mmdb(69501170), mmdb(70013903), mmdb(9964606), mmdb(70514489), mmdb(10097478), mmdb(71293535), mmdb(71630350), mmdb(71989592), mmdb(71821414), mmdb(10211558), mmdb(10329550), mmdb(72352123), mmdb(10364718), mmdb(72475214), mmdb(10432566), mmdb(10417286), mmdb(10266040), mmdb(71966175), mmdb(72597995), mmdb(73479884), mmdb(10530214), mmdb(10611870), mmdb(73364057), mmdb(10642342), mmdb(73952250), mmdb(74047220), mmdb(74061548), mmdb(10628502), mmdb(10677498), mmdb(73865542), mmdb(74430269), mmdb(10668106), mmdb(72980863), mmdb(10382730), mmdb(72628081), mmdb(10263266), mmdb(72120440), mmdb(10363578), mmdb(72865721), mmdb(10289042), mmdb(75278387), mmdb(10725746), mmdb(73007493), mmdb(10457114), mmdb(10562402), mmdb(74587520), mmdb(10607002), mmdb(10654162), mmdb(10610674), mmdb(10613794), mmdb(74874333), mmdb(10660474), mmdb(10782930), mmdb(75509660), mmdb(11129464), mmdb(77810290), mmdb(77672856), mmdb(11101352), mmdb(77816310), mmdb(10659330), mmdb(74201290), mmdb(74204542), mmdb(10620410), mmdb(10600914), mmdb(74326507), mmdb(10692986), mmdb(10734970), mmdb(10734586), mmdb(10187610), mmdb(74196517), mmdb(10535506), mmdb(74365402), mmdb(74939267), mmdb(11121464)Available download formats
Dataset updated
Aug 25, 2025
Dataset authored and provided by
Computer Incident Response Center Luxembourg
License

Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically

Description

Geo Open is an IP address geolocation per country in MMDB format. The database can be used as a replacement for software using the MMDB format. Information about MMDB format: https://maxmind.github.io/MaxMind-DB/ Open source server using Geo Open: https://github.com/adulau/mmdb-server Open source library to read MMDB file: https://github.com/maxmind/MaxMind-DB-Reader-python Historical dataset: https://cra.circl.lu/opendata/geo-open/ The database is automatically generated from public BGP AS announces matching the country code. The precision is at country level.

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