100+ datasets found
  1. p

    Geo Open - IP address geolocation per country in MMDB format

    • data.public.lu
    mmdb
    Updated May 26, 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(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)Available download formats
    Dataset updated
    May 26, 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. H

    IP2Location IP Geolocation Database LITE

    • dataverse.harvard.edu
    Updated Oct 6, 2023
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    Camila Morales (2023). IP2Location IP Geolocation Database LITE [Dataset]. http://doi.org/10.7910/DVN/GR6K0X
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 6, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Camila Morales
    License

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

    Description

    This IP2Location IP Geolocation LITE database in BIN format provides a solution to determine the country of origin for any IP address for IPv4.

  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. 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-74610
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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
    CH
    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 of things (IoT). The market, currently valued at approximately $200 million in 2025 (estimated based on typical market sizes for similar technologies and industry trends), is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key factors. The rising demand for precise geolocation data for targeted advertising and personalized user experiences significantly contributes to market expansion. Furthermore, the burgeoning cybersecurity sector relies heavily on IP address lookups for threat detection and prevention, bolstering market demand. Finally, the proliferation of IoT devices generates a massive volume of IP address data, necessitating efficient and accurate lookup solutions. The market is segmented by application (SMEs and large enterprises) and type (cloud-based and on-premises), with cloud-based solutions gaining traction due to their scalability and cost-effectiveness. The competitive landscape includes established players like MaxMind, IP2Location, and IPinfo, along with several smaller providers. While the market is relatively consolidated, new entrants are emerging, driven by the continuous innovation in data processing and analysis techniques. Factors restraining market growth include concerns over data privacy and the increasing sophistication of techniques to mask or spoof IP addresses. However, the overall market outlook remains positive, with a predicted substantial increase in market value by 2033. The growth will likely be more pronounced in regions with high internet penetration and advanced technological infrastructure. Continued investment in research and development aimed at improving accuracy, speed, and security of IP address lookup services will further fuel market expansion.

  5. 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'

  6. I

    IP Geolocation Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 28, 2025
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    Data Insights Market (2025). IP Geolocation Software Report [Dataset]. https://www.datainsightsmarket.com/reports/ip-geolocation-software-1447943
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Apr 28, 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 geolocation software market is experiencing robust growth, driven by increasing demand for precise location intelligence across various sectors. The market, estimated at $1.5 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated $5 billion by 2033. This expansion is fueled by several key factors. The rising adoption of cloud-based solutions offers scalability and cost-effectiveness, attracting both SMEs and large enterprises. Furthermore, the escalating need for fraud prevention, cybersecurity enhancements, and personalized user experiences across industries like advertising, e-commerce, and financial services is significantly boosting market demand. Growth is also being propelled by advancements in data analytics capabilities, allowing businesses to derive more valuable insights from geolocation data. While data privacy regulations pose a challenge, the market is adapting by developing solutions that prioritize user consent and data security. The segmentation by application (SME vs. Large Enterprise) and deployment type (On-Premise vs. Cloud-Based) reveals a dynamic market landscape, with cloud-based solutions gaining significant traction due to their flexibility and accessibility. Regional analysis shows that North America currently holds a dominant market share, followed by Europe and Asia Pacific, with emerging markets in the Middle East and Africa presenting significant growth potential. The competitive landscape is characterized by a mix of established players and emerging companies, each offering distinct features and functionalities. Established players like MaxMind and Neustar leverage their extensive experience and vast databases to maintain a strong market presence. However, innovative startups are disrupting the market with agile solutions that cater to niche demands. The increasing integration of AI and machine learning into IP geolocation technologies enhances accuracy and predictive capabilities, further fueling market expansion. The market's future success hinges on the continued development of advanced algorithms, robust data infrastructure, and adherence to evolving data privacy regulations. The ability to provide accurate, reliable, and privacy-compliant location data will be crucial for sustained growth within this dynamic and rapidly evolving market.

  7. NOAA-21 VIIRS Geolocation Product Data, version 1

    • data.nasa.gov
    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    • +1more
    Updated May 28, 2017
    + more versions
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    nasa.gov (2017). NOAA-21 VIIRS Geolocation Product Data, version 1 [Dataset]. https://data.nasa.gov/dataset/noaa-21-viirs-geolocation-product-data-version-1
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    Dataset updated
    May 28, 2017
    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).

  8. I

    IP Geolocation Solution Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 21, 2025
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    Market Research Forecast (2025). IP Geolocation Solution Report [Dataset]. https://www.marketresearchforecast.com/reports/ip-geolocation-solution-44715
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

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

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

    The IP geolocation solution market, currently valued at $111.1 million in 2025, is experiencing robust growth, projected to expand at a compound annual growth rate (CAGR) of 7.0% from 2025 to 2033. This growth is fueled by several key factors. The increasing reliance on online transactions and digital services across various sectors—finance, e-commerce, and social media—demands accurate and reliable geolocation data for fraud prevention, personalized experiences, and regulatory compliance. Furthermore, advancements in IP address technology and the rise of big data analytics are enhancing the capabilities and applications of geolocation solutions. The market is segmented by application (Financial Use, Electronic Business Use, Internet and Media Use, Social and Gaming Use, Others) and by type (Location Management, Security, Traffic Analysis), offering diverse opportunities for vendors. North America and Europe currently hold significant market share due to high digital adoption rates and stringent data privacy regulations driving demand for sophisticated geolocation solutions. However, the Asia-Pacific region is anticipated to witness substantial growth in the coming years, driven by burgeoning internet penetration and increasing mobile usage. Competition within the IP geolocation solution market is intense, with a mix of established players like Microsoft, MaxMind, and TransUnion, alongside emerging technology providers such as APILayer and Hexasoft Development. The market is characterized by ongoing innovation, with companies continuously enhancing their solutions to improve accuracy, speed, and address emerging security challenges like IP address spoofing. The continuous development of new technologies, particularly in artificial intelligence and machine learning, presents significant opportunities for enhancing geolocation accuracy and providing more granular data insights. This dynamic landscape necessitates strategic partnerships and continuous innovation for vendors to maintain competitiveness and capitalize on the market's growth potential.

  9. f

    Data from: Geopot: a Cloud-based geolocation data service for mobile...

    • tandf.figshare.com
    zip
    Updated Jun 2, 2023
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    DongWoo Lee; Steve H.L. Liang (2023). Geopot: a Cloud-based geolocation data service for mobile applications [Dataset]. http://doi.org/10.6084/m9.figshare.825705.v2
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    zipAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    DongWoo Lee; Steve H.L. Liang
    License

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

    Description

    We propose a novel Cloud-based geolocation data service system, termed ‘Geopot’, for location-based mobile applications. The exponentially growing number of users of location-based mobile applications demand a data service that can easily be deployed and is scalable against a large volume of accesses from mobile devices across the world. The purpose of our work is to construct a scalable spatial data service that leverages the powerful benefits of a Cloud-based storage. We focus on highly scalable check-in and nearby search service, which is a common focus of location-based mobile applications. Our system comprises two parts: a local data service for indexing and storing geolocation data of check-ins to achieve a compact spatial index database. This is based on an in-memory R-tree and a local hash table, and it utilizes a Cloud storage that enables global accesses. The local data service maintains a compact spatial index, with tempo-spatial clustering, in which check-ins are grouped by their distance through a time window. A centroid of a cluster is used as a spatial index of R-tree, and members of the cluster are stored in the local networked hash table temporarily. This insures that R-tree remains in a compact size that can fit into the system memory. The data stored in the local hash table will be published into the Cloud storage to allow users to access it remotely with the same quality of service. Publishing the local data to a Cloud not only insures staying within the specified storage size limits of the local data service, but also promotes scalable access to the Cloud from mobile clients. Our contribution lies in the design of a new scale-out data service architecture and in implementing this for mobile applications. We encourage the building of a mobile application with our proposed system as well as a low-cost Cloud data service for linking to a large-scale spatial database.

  10. IPv4 Geolocation

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). IPv4 Geolocation [Dataset]. https://www.johnsnowlabs.com/marketplace/ipv4-geolocation/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Area covered
    N/A
    Description

    This dataset is a database of IPv4 address networks with their respective geographical location.

  11. 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.

  12. 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
    Authors
    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

  13. 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.

  14. 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
    Explore at:
    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.

  15. 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
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    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.

  16. E

    Electronic Fence Database Service Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 8, 2025
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    Data Insights Market (2025). Electronic Fence Database Service Report [Dataset]. https://www.datainsightsmarket.com/reports/electronic-fence-database-service-495224
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    May 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 Electronic Fence Database Service market is projected to reach $471 million in 2025, exhibiting a robust Compound Annual Growth Rate (CAGR) of 5.3% from 2025 to 2033. This growth is fueled by several key drivers. The increasing adoption of IoT (Internet of Things) devices and the expanding need for real-time location tracking across diverse sectors are significantly impacting market expansion. Specifically, the logistics industry leverages these services for efficient fleet management and enhanced security, while industrial manufacturing benefits from improved asset tracking and preventative maintenance. Furthermore, the agriculture and animal husbandry sectors are witnessing increased adoption for precision farming and livestock monitoring. The medical industry is also beginning to adopt these technologies for patient monitoring and asset tracking within healthcare facilities. The market is segmented by deployment type (cloud-based and on-premises), with cloud-based solutions gaining traction due to their scalability and cost-effectiveness. Major players like Amazon Web Services, Google, Microsoft, and others are driving innovation and competition within the market. The market's growth trajectory is expected to be influenced by several factors. Technological advancements, particularly in AI and machine learning, will enhance the capabilities of electronic fence database services, creating more sophisticated tracking and analytics capabilities. Furthermore, increasing government regulations related to data privacy and security are likely to shape market dynamics and influence the adoption of secure, compliant solutions. However, potential restraints include the initial high investment costs associated with implementation and the need for robust cybersecurity measures to protect sensitive data. The geographical distribution of the market is diverse, with North America, Europe, and Asia Pacific expected to hold significant market shares, driven by the high adoption rates of technology and the presence of key players in these regions. Future growth will depend on continued technological innovation, industry adoption across new sectors, and a focus on improving data security and compliance.

  17. H

    Maxmind IP Geolocation Archival Data

    • dataverse.harvard.edu
    application/x-gzip +2
    Updated Aug 4, 2020
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    Harvard Dataverse (2020). Maxmind IP Geolocation Archival Data [Dataset]. http://doi.org/10.7910/DVN/RMZOEN
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    application/x-gzip(10417720), text/x-fixed-field(19296245), bin(38708418)Available download formats
    Dataset updated
    Aug 4, 2020
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    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.

  18. 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
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    csv, pdf, pptxAvailable download formats
    Dataset updated
    Dec 3, 2024
    Authors
    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

  19. Terra MODIS Level-1 Geolocation Product Data, version 1

    • catalog.data.gov
    • s.cnmilf.com
    • +3more
    Updated Jul 3, 2025
    + more versions
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    OBPG;NASA/GSFC/SED/ESD/GCDC/OB.DAAC (2025). Terra MODIS Level-1 Geolocation Product Data, version 1 [Dataset]. https://catalog.data.gov/dataset/terra-modis-level-1-geolocation-product-data-version-1
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    Dataset updated
    Jul 3, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    MODIS (or Moderate-Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (EOS AM) and Aqua (EOS PM) satellites. Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications). These data will improve our understanding of global dynamics and processes occurring on the land, in the oceans, and in the lower atmosphere. MODIS is playing a vital role in the development of validated, global, interactive Earth system models able to predict global change accurately enough to assist policy makers in making sound decisions concerning the protection of our environment.

  20. i

    A 2022 Television White Space Geolocation Database of the Greater Manila...

    • ieee-dataport.org
    Updated Feb 1, 2023
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    Vladimir Ocampo (2023). A 2022 Television White Space Geolocation Database of the Greater Manila Area of the Philippines [Dataset]. https://ieee-dataport.org/documents/2022-television-white-space-geolocation-database-greater-manila-area-philippines
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    Dataset updated
    Feb 1, 2023
    Authors
    Vladimir Ocampo
    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

    ERP

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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

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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(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)Available download formats
Dataset updated
May 26, 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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