29 datasets found
  1. 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.

  2. p

    Geo Open - IP address geolocation per country in MMDB format

    • data.public.lu
    mmdb
    Updated Oct 14, 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/61f12bb8a2a4fae49573cbbc/?resources=all
    Explore at:
    mmdb(75559274), mmdb(10432566), mmdb(75509660), mmdb(10783528), mmdb(10659330), mmdb(67213033), mmdb(9664234), mmdb(9370424), mmdb(68142342), mmdb(9796548), mmdb(10344182), mmdb(10610674), mmdb(74874333), mmdb(10660474), mmdb(9428898), mmdb(10417286), mmdb(69501170), mmdb(10311426), mmdb(10782930), mmdb(9426578), mmdb(10329550), mmdb(10363578), mmdb(9403704), mmdb(74657407), mmdb(9413064), mmdb(73952250), mmdb(67457616), mmdb(10654162), mmdb(9419858), mmdb(74061548), mmdb(67299670), mmdb(74731206), mmdb(9491426), mmdb(72980863), mmdb(9273480), mmdb(9396216), mmdb(10128894), mmdb(10187610), mmdb(9276216), mmdb(9491850), mmdb(10607002), mmdb(9964606), mmdb(9466514), mmdb(70013903), mmdb(72597995), mmdb(9403256), mmdb(9285408), mmdb(73364057), mmdb(69153266), mmdb(10195478), mmdb(9406664), mmdb(10028790), mmdb(71966175), mmdb(10611870), mmdb(10097478), mmdb(9279800), mmdb(9414904), mmdb(74047220), mmdb(9387648), mmdb(10620410), mmdb(74365402), mmdb(73895303), mmdb(67315508), mmdb(9280472), mmdb(10677498), mmdb(67885793), mmdb(74430269), mmdb(9326208), mmdb(71630350), mmdb(73479884), mmdb(71821414), mmdb(10562402), mmdb(10519550), mmdb(9901084), mmdb(9514250), mmdb(10600914), mmdb(10530214), mmdb(9444026), mmdb(73865542), mmdb(71293535), mmdb(9276592), mmdb(9269824), mmdb(10725746), mmdb(67243969), mmdb(10668106), mmdb(74201290), mmdb(9349608), mmdb(10263266), mmdb(9843284), mmdb(74204542), mmdb(9303264), mmdb(73007493), mmdb(9801012), mmdb(10278862), mmdb(9688864), mmdb(10314146), mmdb(75278387), mmdb(9367200), mmdb(71989592), mmdb(74939267), mmdb(74587520), mmdb(10734586), mmdb(73944255), mmdb(10642342), mmdb(72120440), mmdb(10153102), mmdb(74196517), mmdb(69095853), mmdb(11129464), mmdb(77816310), mmdb(77672856), mmdb(11121464), mmdb(10382730), mmdb(9277856), mmdb(10692986), mmdb(9370624), mmdb(9941900), mmdb(10754226), mmdb(72352123), mmdb(9425722), mmdb(70514489), mmdb(10535506), mmdb(9398168), mmdb(9375064), mmdb(71529791), mmdb(10211558), mmdb(74326507), mmdb(9640090), mmdb(9348184), mmdb(10628502), mmdb(68387114), mmdb(75221957), mmdb(10734970), mmdb(72865721), mmdb(73027607), mmdb(69443906), mmdb(72376809), mmdb(70109053), mmdb(10613794), mmdb(10289042), mmdb(10107878), mmdb(72475214), mmdb(9547964), mmdb(10163366), mmdb(10249894), mmdb(70898406), mmdb(10266040), mmdb(10223050), mmdb(10457114), mmdb(67319586), mmdb(73280284), mmdb(10364718), mmdb(9867892), mmdb(9273232), mmdb(72628081), mmdb(77810290), mmdb(11101352), mmdb(79155419)Available download formats
    Dataset updated
    Oct 14, 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.

  3. 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-74557
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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 the increasing reliance on location-based services, cybersecurity advancements, and the expanding digital footprint across various industries. The market, currently valued at approximately $250 million in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key factors. Firstly, the rising demand for precise geolocation data for targeted advertising, fraud prevention, and personalized user experiences is a major catalyst. Secondly, the heightened concern regarding data privacy and security necessitates advanced IP address lookup solutions, leading to increased adoption among businesses of all sizes. Finally, the proliferation of IoT devices and the expanding use of cloud-based services further amplify the need for efficient and accurate IP address lookups. The market is segmented by application (SMEs and large enterprises) and by type (cloud-based and on-premises solutions), with cloud-based solutions dominating due to their scalability, cost-effectiveness, and ease of implementation. The competitive landscape features a mix of established players and emerging vendors, each offering diverse solutions to meet varying market demands. While some companies focus on comprehensive databases offering granular location details, others concentrate on providing APIs for seamless integration into existing systems. Regional growth varies, with North America and Europe currently holding a significant market share. However, rapidly developing economies in Asia-Pacific are expected to exhibit accelerated growth in the coming years, driven by increasing internet penetration and digital transformation initiatives. Restraints on market growth include concerns about data accuracy, potential privacy violations, and the emergence of new technologies that may offer alternative approaches to geolocation. Despite these challenges, the overall outlook for the IP address lookup market remains positive, with strong growth anticipated throughout the forecast period.

  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. d

    Domain Name Data, IP to Domain Enrichment (B2B), USA, Convert anonymized...

    • datarade.ai
    .json, .csv
    Updated Mar 13, 2023
    + more versions
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    Versium (2023). Domain Name Data, IP to Domain Enrichment (B2B), USA, Convert anonymized traffic [Dataset]. https://datarade.ai/data-products/versium-reach-ip-to-domain-enrichment-b2b-usa-convert-a-versium
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    .json, .csvAvailable download formats
    Dataset updated
    Mar 13, 2023
    Dataset authored and provided by
    Versium
    Area covered
    United States
    Description

    With Versium REACH's IP to Domain you unlock the ability to de-anonymize your database of IP addresses. Receive firmographic data for an IP address that includes up to 3 likely businesses, including key attributes such as domain, company size, location, and many other valuable firmographic insights.

  6. d

    IP Address Data | USA Coverage

    • datarade.ai
    .csv
    Updated Apr 12, 2023
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    BIGDBM (2023). IP Address Data | USA Coverage [Dataset]. https://datarade.ai/data-products/bigdbm-us-consumer-ip-address-package-bigdbm
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    .csvAvailable download formats
    Dataset updated
    Apr 12, 2023
    Dataset authored and provided by
    BIGDBM
    Area covered
    United States
    Description

    The US Consumer IP Address file contains information on the location and observation dates of IP addresses tied to individuals in the Consumer Database. It is updated monthly from a database containing billions of IP<>email linkages.

    We have developed this file to be tied to our Consumer Demographics Database so additional demographics can be applied as needed. Each record is ranked by confidence and only the highest quality data is used.

    Note - all Consumer packages can include necessary PII (address, email, phone, DOB, etc.) for merging, linking, and activation of the data.

    BIGDBM Privacy Policy: https://bigdbm.com/privacy.html

  7. d

    IP2Location IP Geolocation Database LITE

    • dataone.org
    Updated Dec 16, 2023
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    Morales, Camila (2023). IP2Location IP Geolocation Database LITE [Dataset]. http://doi.org/10.7910/DVN/GR6K0X
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    Dataset updated
    Dec 16, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Morales, Camila
    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.

  8. 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.

  9. a

    Company IP Data | 3M+ US Domains to IP Connections | Company Domain to IP...

    • data.allforce.io
    Updated Apr 1, 2024
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    Allforce (2024). Company IP Data | 3M+ US Domains to IP Connections | Company Domain to IP Address Linkage Database | Monthly Feed [Dataset]. https://data.allforce.io/products/company-ip-data-3m-us-domains-to-ip-connections-company-allforce
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    Dataset updated
    Apr 1, 2024
    Dataset authored and provided by
    Allforce
    Area covered
    United States
    Description
    • IP Addresses Mapped to 3M+ Company Domains
    • 100m+ IP seen from Employees in Last 30 days
    • 1st Party IP Data Generated by Email Newsletter Interactions
    • Sales, leads and marketing intelligence
    • Cybersecurity and threat intelligence
    • Company IP Datasets
    • Company IP Databases
  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. a

    IP Address Data | Company Domain to MAIDs | Monthly Feed | 300M+ MAIDs to...

    • data.allforce.io
    Updated Apr 1, 2024
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    Allforce (2024). IP Address Data | Company Domain to MAIDs | Monthly Feed | 300M+ MAIDs to Business Domain Linkages [Dataset]. https://data.allforce.io/products/ip-address-data-company-domain-to-maids-monthly-feed-30-allforce
    Explore at:
    Dataset updated
    Apr 1, 2024
    Dataset authored and provided by
    Allforce
    Area covered
    United States
    Description
    • MAIDs Mapped to 3M+ Company Domains
    • Company IP Data
    • 300m+ MAIDs seen from Employees in Last 30 days
    • 1st Party IP Data Generated by Email Newsletter Interactions
    • Digital Advertising intelligence
    • Cybersecurity and threat intelligence
    • Company IP Datasets
    • Company IP Databases
  12. d

    Alesco Email Database - Email Address Data - 2.3+ Billion US email records -...

    • datarade.ai
    .csv, .xls, .txt
    + more versions
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    Alesco Data, Alesco Email Database - Email Address Data - 2.3+ Billion US email records - available acquisition marketing and identify resolution! [Dataset]. https://datarade.ai/data-products/alesco-email-database-over-1-8-billion-us-email-records-alesco-data
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset authored and provided by
    Alesco Data
    Area covered
    United States of America
    Description

    Alesco’s aggregated consumer email database consists of over 2.3 billion U.S. records with name, address and email. The database is fully CAN-SPAM and privacy compliant, and records include referring URL, IP address and date stamp. Postal addresses are address standardized and processed through NCOA. Available for licensing!

    File size: 2.3 Billion IP Address: 1.9 Billion eAppend data: 1.8 Billion (full name/postal) Acquisition: 269 Million (full demo’s)

    Fields Included: Name Address Email Phone IP Address

    Consumer Behavior Data Consumer Demographic Data Identity Data Audience Data

  13. w

    Websites using ip-address

    • webtechsurvey.com
    csv
    + more versions
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    WebTechSurvey, Websites using ip-address [Dataset]. https://webtechsurvey.com/technology/ip-address
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    csvAvailable download formats
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global
    Description

    A complete list of live websites using the ip-address technology, compiled through global website indexing conducted by WebTechSurvey.

  14. d

    IP Address Data | Company Domain to MAIDs | Monthly Feed | 300M+ MAIDs to...

    • datarade.ai
    .json, .csv, .xls
    Updated Apr 1, 2024
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    Allforce (2024). IP Address Data | Company Domain to MAIDs | Monthly Feed | 300M+ MAIDs to Business Domain Linkages [Dataset]. https://datarade.ai/data-products/company-ip-data-company-domain-to-maids-monthly-feed-30-solution-publishing
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    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Apr 1, 2024
    Dataset authored and provided by
    Allforce
    Area covered
    United States of America
    Description

    Company Domain to MAID | Company IP Data | Monthly Feed | 200M+ MAIDs to Business Domain Connections Introducing our "Company Domain to MAID" dataset, a groundbreaking resource that links over 200 million Mobile Advertising IDs (MAIDs) to corresponding business domains. Updated monthly, this expansive dataset is engineered for organizations aiming to revolutionize their mobile marketing strategies, enhance customer engagement, and gain deeper insights into mobile user behaviors. As a perfect complement to our "Company Domain to IP Address Linkage Database," this product extends the value of your digital marketing and cybersecurity efforts by integrating mobile data for comprehensive B2B insights. Company IP Data Company Data Ideal Add-On for Domain to IP Product This dataset serves as an ideal add-on to our "Company Domain to IP Address Linkage Database," enabling a multi-dimensional approach to digital strategy by encompassing both traditional and mobile digital landscapes. Together, these products offer a holistic view of digital footprints, ensuring your marketing, security, and analytical capabilities are both broad and deeply integrated. Key Features: • Massive Dataset: Access a robust linkage of over 200 million MAIDs to business domains, providing unparalleled coverage across various industries and markets. • High-Quality Data: Benefit from a dataset characterized by its high accuracy and monthly updates, ensuring you have the most current and reliable information for your mobile marketing and engagement strategies. • Seamless Compatibility: Designed for easy integration with existing marketing, CRM, and cybersecurity platforms, enhancing your digital outreach and security protocols with valuable mobile user insights. Benefits: • Advanced Mobile Marketing: Leverage precise MAID to domain mappings to target and engage mobile users more effectively, driving higher engagement rates and improving campaign ROI. • Enhanced Customer Insights: Gain deeper understanding of customer mobile behaviors and preferences, enabling more personalized and impactful marketing strategies. • Comprehensive Digital Footprint: Combine with our Domain to IP product for a complete overview of corporate digital presence, from desktop to mobile, enhancing all aspects of digital marketing and cybersecurity. • Improved Data-Driven Decisions: Utilize the extensive insights provided by linking MAIDs to business domains to inform strategic decisions, from marketing to security to product development. Applications: • Holistic Marketing Strategies: Employ our dataset to craft comprehensive digital marketing campaigns that effectively reach business audiences across all devices, maximizing coverage and impact. • Enhanced B2B Targeting: Perfectly complement your Domain to IP strategies by including mobile targeting, ensuring that your messages reach the right audience, no matter the device. • Robust Cybersecurity Posture: Enhance your cybersecurity measures by incorporating mobile data, providing a more complete picture of potential vulnerabilities and threat vectors. • Market and Competitor Analysis: Analyze mobile engagement trends and behaviors for insights into market dynamics and competitor strategies, guiding your business decisions with rich, actionable data. Our "Company Domain to MAID" dataset is a must-have for businesses looking to capitalize on the immense potential of mobile marketing and engagement, offering a significant advantage in understanding and reaching B2B audiences. As a standalone product or in conjunction with our "Company Domain to IP Address Linkage Database," it represents the pinnacle of digital insight, enabling businesses to navigate the complexities of the modern digital landscape with confidence and precision.

  15. I-BiDaaS - CAIXA - IP addresses - Synthetic Dataset

    • data.niaid.nih.gov
    • data.europa.eu
    Updated Jul 19, 2024
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    Ramon Martin de Pozuelo Genis; Mario Maawad Marcos; Omer Boehm (2024). I-BiDaaS - CAIXA - IP addresses - Synthetic Dataset [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_4091025
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    Dataset updated
    Jul 19, 2024
    Dataset provided by
    IBMhttp://ibm.com/
    CaixaBank
    Authors
    Ramon Martin de Pozuelo Genis; Mario Maawad Marcos; Omer Boehm
    License

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

    Description

    The generated dataset provides data on the relationships between customers in order to build part of the social graph of the bank. The data was synthetically generated based on real data coming from a set of restricted tables (relational database), with information related to the customers and their IP address when connecting online.

    CAIXA and IBM generated the data recipe for the data fabrication using IBM TDF. Through an iterative analysis of obtained results, the rules were improved in order to obtain the fabricated dataset used for testing the MVP, with more than 1 million entries.

  16. D

    IP Geo-Location Service Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 23, 2024
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    Dataintelo (2024). IP Geo-Location Service Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-ip-geo-location-service-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Sep 23, 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 Geo-Location Service Market Outlook



    The global IP Geo-Location Service market size was valued at approximately $2.3 billion in 2023 and is projected to reach around $5.8 billion by 2032, growing at a remarkable CAGR of 11.2% during the forecast period. The primary growth factor driving this market is the increasing demand for real-time data analytics and enhanced security measures across various industries.



    The burgeoning need for advanced cybersecurity solutions is a significant growth factor for the IP Geo-Location Service market. As cyber threats become more sophisticated, organizations are compelled to adopt geo-location services to pinpoint the physical location of IP addresses for fraud detection and prevention. This is particularly relevant in sectors such as BFSI and healthcare, where data breaches can have severe implications. The ability to accurately locate users can help in identifying and neutralizing potential threats, thereby ensuring data integrity and security.



    Additionally, the proliferation of digital marketing and personalized content delivery is another catalyst for market growth. Businesses are increasingly leveraging geo-location data to enhance customer engagement through targeted advertising and personalized content. This is particularly significant in retail and media sectors, where understanding consumer behavior and preferences can lead to more effective marketing strategies. The ability to offer localized content not only improves user experience but also drives higher conversion rates, thereby boosting revenue streams.



    The versatility of IP Geo-Location Services in compliance and regulatory adherence is another driving force. With the advent of stringent data protection regulations such as GDPR and CCPA, organizations are required to ensure that data is processed and stored in compliance with regional laws. Geo-location services aid in this by providing accurate data on where IP addresses are originating from, thus helping organizations avoid hefty fines and legal repercussions. This compliance capability is crucial for multinational companies operating across different jurisdictions.



    Regional outlook for the IP Geo-Location Service market indicates significant growth across various geographies. North America is expected to hold a dominant position due to the early adoption of advanced technologies and the presence of key market players. Europe is projected to grow steadily, driven by stringent data protection laws and increasing awareness about cybersecurity. The Asia Pacific region is anticipated to witness the highest growth rate, fueled by rapid digital transformation and increasing internet penetration. Latin America and the Middle East & Africa are also expected to contribute to market growth, albeit at a slower pace compared to other regions.



    Component Analysis



    When dissecting the IP Geo-Location Service market by component, we find that it is broadly segmented into software and services. The software segment encompasses various solutions, including IP location databases, API services, and SDKs, which are integral for real-time IP address tracking and analysis. The growing need for accurate and reliable geo-location data is driving the demand for advanced software solutions. These solutions are essential for businesses to enhance their cybersecurity measures, improve customer targeting, and comply with regulatory requirements.



    The services segment, on the other hand, includes professional services such as consulting, training, and support, as well as managed services. Professional services are crucial for organizations to understand and implement geo-location technologies effectively. They offer expertise in setting up, configuring, and maintaining IP geo-location systems, ensuring optimal performance and compliance. Managed services provide ongoing support, monitoring, and management of geo-location solutions, allowing businesses to focus on their core operations while ensuring their geo-location needs are met.



    The software segment is expected to hold a larger market share due to the increasing adoption of advanced geo-location solutions across various industries. The rise of cloud computing and the growing preference for SaaS (Software as a Service) models are also contributing to the growth of the software segment. These solutions offer scalability, flexibility, and cost-effectiveness, making them an attractive option for businesses of all sizes.



    However, the services segment is anticipated to grow at a significant rate during the fore

  17. I-BiDaaS - CAIXA - IP addresses - Tokenised Dataset

    • zenodo.org
    • data.europa.eu
    bin, pdf
    Updated Jul 19, 2024
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    Ramon Martin de Pozuelo Genis; Mario Maawad Marcos; Ramon Martin de Pozuelo Genis; Mario Maawad Marcos (2024). I-BiDaaS - CAIXA - IP addresses - Tokenised Dataset [Dataset]. http://doi.org/10.5281/zenodo.4091057
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    pdf, binAvailable download formats
    Dataset updated
    Jul 19, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Ramon Martin de Pozuelo Genis; Mario Maawad Marcos; Ramon Martin de Pozuelo Genis; Mario Maawad Marcos
    License

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

    Description

    The generated dataset provides data on the relationships between customers in order to build part of the social graph of the bank. The data was collected from the logs of connections to the online banking of CaixaBank customers and stored in the entity’s Datapool for security and fraud prevention reasons. More concretely the data is coming from a set of restricted tables (relational database), with information related to the customers and their IP address when connecting online, used afterwards to see potential relationships between users’ and skip or enhance the security controls on eventual bank transfers between the connected users.

  18. List of DNS over HTTPS resolvers on the internet

    • zenodo.org
    • data.niaid.nih.gov
    csv
    Updated Jul 26, 2022
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    Sebastián García; Sebastián García; Joaquín Bogado; Karel Hynek; Karel Hynek; Dmitrii Vekshin; Tomáš Čejka; Tomáš Čejka; Armin Wasicek; Joaquín Bogado; Dmitrii Vekshin; Armin Wasicek (2022). List of DNS over HTTPS resolvers on the internet [Dataset]. http://doi.org/10.5281/zenodo.4923371
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 26, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Sebastián García; Sebastián García; Joaquín Bogado; Karel Hynek; Karel Hynek; Dmitrii Vekshin; Tomáš Čejka; Tomáš Čejka; Armin Wasicek; Joaquín Bogado; Dmitrii Vekshin; Armin Wasicek
    License

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

    Description

    The DoH Internet Servers dataset comprises a verified list of Internet servers offering DNS over HTTPS (DoH) service. The list was created by active scanning of the IPv4 address space. The scanning was done in April and May in 2021. The list contains 931 different IP addresses with their reverse DNS record, supported DoH method, and TLS 1.3 support.

    The scanning was done in three phases:

    1. We scanned the IPv4 address space for opened port 443 using masscan.
    2. IP addresses found in the previous step were scanned for DoH support using a custom Nmap-NSE script.
    3. The IP addresses found in previous steps were reached by a slower python script that also validated responses, obtained domain names.

    Scanning limitation: The main limitation of our scanning was that it could not find DoH resolvers hosted on infrastructures hosting multiple services behind a single IP address. In such cases, an SNI, or HTTP Host header, or HTTP/2 :authority header is needed for a successful request. Since we did not have the SNI, it was impossible to provide it.

    Used Scripts:

    NMap: https://github.com/cejkato2/dns-doh.nse
    Python: https://github.com/hynekkar/DoH-Checker

  19. Internet Data Package

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Internet Data Package [Dataset]. https://www.johnsnowlabs.com/marketplace/internet-data-package/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Description

    This data package contains datasets on Austin Google Analytics, IPv4 address networks database, internet top-level domains such as .com and .uk. It also contains a list of media types, media subtypes, and their file extensions and WIPO (World Intellectual Property Organization) administered copyright treaties.

  20. d

    Email Address Data| Email Database | US Consumers | 650 million Consumer...

    • datarade.ai
    .csv, .txt
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    Stirista, Email Address Data| Email Database | US Consumers | 650 million Consumer Email Addresses [Dataset]. https://datarade.ai/data-products/email-address-data-email-database-us-consumers-564-milli-stirista
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    .csv, .txtAvailable download formats
    Dataset authored and provided by
    Stirista
    Area covered
    United States
    Description

    Andrew Wharton's Actionable US Consumer Email Database hosts over 650 million email addresses that have been active within the last 36 months. This database is fully CAN-SPAM compliant and 100% opted-in for Third Party Use.

    This Email Address database successfully connects you with your customers and/or prospects at their most recent, deliverable online address. and Increase impression rates, deliverability, and engagement in your digital campaigns.

    The Email Address Data is 100% populated with email address, HEMS (MD5, Sha1, Sha256) first name, last name, postal address (primary and secondary), IP Address, Time Stamp(s) for Last Registration, Verification, and First Seen. An enhanced version of the database is available with Date-of-Birth (where available), Phone (mobile and landline) and MAIDs to Hashed email conversion.

    The Andrews Wharton Actionable US Consumer Email Database is updated monthly. A complete replacement database or new adds are available as update files.

    Contact us at successdelivered@andrewswharton.com or visit us at www.andrewswharton.com to learn more about this dataset.

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Data Insights Market (2025). IP Address Lookup Report [Dataset]. https://www.datainsightsmarket.com/reports/ip-address-lookup-509617

IP Address Lookup Report

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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.

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