18 datasets found
  1. 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.

  2. w

    Full Whois Database

    • whoisfreaks.com
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    WhoisFreaks, Full Whois Database [Dataset]. https://whoisfreaks.com/pricing/whois-database
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    Dataset authored and provided by
    WhoisFreaks
    License

    https://whoisfreaks.com/termshttps://whoisfreaks.com/terms

    Time period covered
    Mar 22, 2025
    Area covered
    Pakistan, Lahore
    Description

    Full whois database lists different subscription packages about databases. But there is no price listing, so you will have to directly contact us. It lists full whois databse with Active domains whois databse, IP whois databases and ASN whois database.

  3. d

    BIGDBM US Consumer IP Address Data

    • datarade.ai
    • data.bigdbm.com
    Updated Apr 12, 2023
    + more versions
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    BIGDBM (2023). BIGDBM US Consumer IP Address Data [Dataset]. https://datarade.ai/data-products/bigdbm-us-consumer-ip-address-package-bigdbm
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    Dataset updated
    Apr 12, 2023
    Dataset authored and provided by
    BIGDBM
    Area covered
    United States of America
    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

  4. w

    Country Specific Domains Whois Database

    • whoisfreaks.com
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    WhoisFreaks, Country Specific Domains Whois Database [Dataset]. https://whoisfreaks.com/pricing/whois-database
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    Dataset authored and provided by
    WhoisFreaks
    License

    https://whoisfreaks.com/termshttps://whoisfreaks.com/terms

    Time period covered
    Mar 22, 2025
    Area covered
    Lahore, Pakistan
    Description

    Country-Specific Domains Whois Database presents an extensive pricing list for purchasing country-specific whois database files. These databases are categorized by country and include whois information for domain names registered within each country. The pricing packages are customized for each country's database, providing a range of choices for buyers.

  5. d

    Global Mobile IP Data | IP Address <> MAIDs <> User Agent Matching Data | IP...

    • datarade.ai
    .json, .csv
    Updated Sep 28, 2024
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    start.io (2024). Global Mobile IP Data | IP Address <> MAIDs <> User Agent Matching Data | IP to Address Data [Dataset]. https://datarade.ai/data-products/start-io-global-mobile-ip-data-ip-address-maids-times-start-io
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Sep 28, 2024
    Dataset provided by
    start.io
    Area covered
    Yemen, Sri Lanka, France, Kazakhstan, Monaco, Montenegro, Northern Mariana Islands, Sint Maarten (Dutch part), Tuvalu, Andorra
    Description

    Start.io's mobile IP database is one of the largest and most comprehensive out there. Used by some of the largest location and device-graph companies in the world, this data is linked with MAIDs and timestamps, offering insights into billions of devices and events.

    Use cases : - Device graph enrichment - Fraud detection - Geolocation services - Customer journey mapping - Ad-targeting

  6. 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
    Explore at:
    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.

  7. C

    Canada Balance Sheet: Households & NPISH: Assets: Non-Financial: Produced:...

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Canada Balance Sheet: Households & NPISH: Assets: Non-Financial: Produced: Fixed: IP: Software & Databases [Dataset]. https://www.ceicdata.com/en/canada/csna2012-balance-sheet-accounts-households-and-nonprofit-institutions-serving-households/balance-sheet-households--npish-assets-nonfinancial-produced-fixed-ip-software--databases
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2021 - Sep 1, 2024
    Area covered
    Canada
    Variables measured
    Balance Sheets
    Description

    Canada Balance Sheet: Households & NPISH: Assets: Non-Financial: Produced: Fixed: IP: Software & Databases data was reported at 3,379.000 CAD mn in Sep 2024. This records an increase from the previous number of 3,339.000 CAD mn for Jun 2024. Canada Balance Sheet: Households & NPISH: Assets: Non-Financial: Produced: Fixed: IP: Software & Databases data is updated quarterly, averaging 1,975.000 CAD mn from Mar 1990 (Median) to Sep 2024, with 139 observations. The data reached an all-time high of 3,379.000 CAD mn in Sep 2024 and a record low of 603.000 CAD mn in Mar 1990. Canada Balance Sheet: Households & NPISH: Assets: Non-Financial: Produced: Fixed: IP: Software & Databases data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.AB011: CSNA2012: Balance Sheet Accounts: Households and Non-Profit Institutions Serving Households.

  8. d

    Opah Labs IP to Geolocation Data | Puerto Rico | 112M+ Records

    • datarade.ai
    .json, .csv
    Updated Mar 25, 2023
    + more versions
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    Opah Labs (2023). Opah Labs IP to Geolocation Data | Puerto Rico | 112M+ Records [Dataset]. https://datarade.ai/data-products/opah-labs-ip-to-geolocation-dta-puerto-rico-112m-records-opah-labs
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Mar 25, 2023
    Dataset authored and provided by
    Opah Labs
    Area covered
    Puerto Rico
    Description

    The dataset stands out due to its exceptional accuracy, zero-duplication rate, and a specialized focus on underserved Hispanic markets, with an emphasis on Puerto Rico. This geographic precision offers businesses a competitive advantage by delivering highly targeted insights for market expansion and customer engagement, particularly in areas where accurate geolocation data is often lacking.

    The data is primarily collected from mobile devices, using real-time timestamps, IP to geolocation, and accuracy metrics. This comprehensive sourcing approach ensures up-to-date tracking of user movements, providing a reliable foundation for analysis and decision-making.

    | Use Cases | 1. Optimizing delivery logistics by leveraging precise location data to improve route planning and efficiency. 2. Location-based marketing for better targeting of Hispanic consumers in underserved areas. 3. Customer behavior analysis, enabling businesses to understand and respond to movement patterns and preferences. 4. Supporting retail and e-commerce operations by enhancing supply chain management and operational decisions.

    This device location data integrates seamlessly with other consumer behavior datasets, contributing to a well-rounded understanding of customer actions and preferences. It enhances the broader data offering by delivering high-quality, geographically specific insights that are crucial for targeting and growth in key markets, such as Puerto Rico, where Hispanic products are in high demand but underrepresented.

    | Delivery Options | Choose from various delivery options such as flat files, databases, APIs, and more, tailored to your needs. JSON, XLS, CSV

    | Other key features | Free data samples

    Tags: Device Location Data, B2B2C Platform, Hispanic Grocers, Authentic Hispanic Food, User Engagement, Latam User Base, Ecommerce Dataset, Mobile Application Insights, User Behavior, User Experiences, Strategic Decisions, Hispanic Food Market Landscape, Geolocation Services, Delivery Optimization, Retail Insights, Market Expansion.

  9. w

    IP Twins SAS Whois Database | Whois Data Center

    • whoisdatacenter.com
    csv
    Updated Nov 8, 2024
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    AllHeart Web Inc (2024). IP Twins SAS Whois Database | Whois Data Center [Dataset]. https://whoisdatacenter.com/registrar/1728/
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    csvAvailable download formats
    Dataset updated
    Nov 8, 2024
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 27, 2025 - Dec 31, 2025
    Description

    IP Twins SAS Whois Database, discover comprehensive ownership details, registration dates, and more for IP Twins SAS with Whois Data Center.

  10. Z

    SQL Injection Attack Netflow

    • data.niaid.nih.gov
    • zenodo.org
    Updated Sep 28, 2022
    + more versions
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    Adrián Campazas (2022). SQL Injection Attack Netflow [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_6907251
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    Dataset updated
    Sep 28, 2022
    Dataset provided by
    Adrián Campazas
    Ignacio Crespo
    License

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

    Description

    Introduction

    This datasets have SQL injection attacks (SLQIA) as malicious Netflow data. The attacks carried out are SQL injection for Union Query and Blind SQL injection. To perform the attacks, the SQLMAP tool has been used.

    NetFlow traffic has generated using DOROTHEA (DOcker-based fRamework fOr gaTHering nEtflow trAffic). NetFlow is a network protocol developed by Cisco for the collection and monitoring of network traffic flow data generated. A flow is defined as a unidirectional sequence of packets with some common properties that pass through a network device.

    Datasets

    The firts dataset was colleted to train the detection models (D1) and other collected using different attacks than those used in training to test the models and ensure their generalization (D2).

    The datasets contain both benign and malicious traffic. All collected datasets are balanced.

    The version of NetFlow used to build the datasets is 5.

        Dataset
        Aim
        Samples
        Benign-malicious
        traffic ratio
    
    
    
    
        D1
        Training
        400,003
        50%
    
    
        D2
        Test
        57,239
        50%
    

    Infrastructure and implementation

    Two sets of flow data were collected with DOROTHEA. DOROTHEA is a Docker-based framework for NetFlow data collection. It allows you to build interconnected virtual networks to generate and collect flow data using the NetFlow protocol. In DOROTHEA, network traffic packets are sent to a NetFlow generator that has a sensor ipt_netflow installed. The sensor consists of a module for the Linux kernel using Iptables, which processes the packets and converts them to NetFlow flows.

    DOROTHEA is configured to use Netflow V5 and export the flow after it is inactive for 15 seconds or after the flow is active for 1800 seconds (30 minutes)

    Benign traffic generation nodes simulate network traffic generated by real users, performing tasks such as searching in web browsers, sending emails, or establishing Secure Shell (SSH) connections. Such tasks run as Python scripts. Users may customize them or even incorporate their own. The network traffic is managed by a gateway that performs two main tasks. On the one hand, it routes packets to the Internet. On the other hand, it sends it to a NetFlow data generation node (this process is carried out similarly to packets received from the Internet).

    The malicious traffic collected (SQLI attacks) was performed using SQLMAP. SQLMAP is a penetration tool used to automate the process of detecting and exploiting SQL injection vulnerabilities.

    The attacks were executed on 16 nodes and launch SQLMAP with the parameters of the following table.

        Parameters
        Description
    
    
    
    
        '--banner','--current-user','--current-db','--hostname','--is-dba','--users','--passwords','--privileges','--roles','--dbs','--tables','--columns','--schema','--count','--dump','--comments', --schema'
        Enumerate users, password hashes, privileges, roles, databases, tables and columns
    
    
        --level=5
        Increase the probability of a false positive identification
    
    
        --risk=3
        Increase the probability of extracting data
    
    
        --random-agent
        Select the User-Agent randomly
    
    
        --batch
        Never ask for user input, use the default behavior
    
    
        --answers="follow=Y"
        Predefined answers to yes
    

    Every node executed SQLIA on 200 victim nodes. The victim nodes had deployed a web form vulnerable to Union-type injection attacks, which was connected to the MYSQL or SQLServer database engines (50% of the victim nodes deployed MySQL and the other 50% deployed SQLServer).

    The web service was accessible from ports 443 and 80, which are the ports typically used to deploy web services. The IP address space was 182.168.1.1/24 for the benign and malicious traffic-generating nodes. For victim nodes, the address space was 126.52.30.0/24. The malicious traffic in the test sets was collected under different conditions. For D1, SQLIA was performed using Union attacks on the MySQL and SQLServer databases.

    However, for D2, BlindSQL SQLIAs were performed against the web form connected to a PostgreSQL database. The IP address spaces of the networks were also different from those of D1. In D2, the IP address space was 152.148.48.1/24 for benign and malicious traffic generating nodes and 140.30.20.1/24 for victim nodes.

    To run the MySQL server we ran MariaDB version 10.4.12. Microsoft SQL Server 2017 Express and PostgreSQL version 13 were used.

  11. w

    TLDs Specific Domains Whois Database

    • whoisfreaks.com
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    WhoisFreaks, TLDs Specific Domains Whois Database [Dataset]. https://whoisfreaks.com/pricing/whois-database
    Explore at:
    Dataset authored and provided by
    WhoisFreaks
    License

    https://whoisfreaks.com/termshttps://whoisfreaks.com/terms

    Time period covered
    Mar 22, 2025
    Area covered
    Lahore, Pakistan
    Description

    TLDs-Specific Domains Whois Database offers a comprehensive pricing list for purchasing domain-specific whois database files based on top-level domains (TLDs). Each database contains whois information for domain names registered under a particular TLD, along with total domain counts and pricing packages unique to each TLD database.

  12. a

    USPTO - PatentsView Database Tables

    • academictorrents.com
    bittorrent
    Updated Mar 20, 2025
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    None (2025). USPTO - PatentsView Database Tables [Dataset]. https://academictorrents.com/details/2c6eb904b11a8e188c59e5e5ffdd06562950d84b
    Explore at:
    bittorrentAvailable download formats
    Dataset updated
    Mar 20, 2025
    Authors
    None
    License

    https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified

    Description

    PatentsView (description below) will go offline on March 28th. This torrent includes all bulk downloadable tables from: , along with the data dictionaries and the published logic diagram. Zip files contain tab-delimited files that are considerably larger than the zip files when uncompressed. The data includes patent activity from 1976 to 2024. Description: PatentsView is an award-winning visualization, data dissemination, and analysis platform that focuses on intellectual property (IP) data. Support for the site and the team that works on it comes from the Office of the Chief Economist at the U.S. Patent & Trademark Office (USPTO). PatentsView serves students, educators, researchers, policymakers, small business owners, and the public. It offers a unique and valuable open data platform providing free data dissemination and value-added analyses to foster better knowledge of the IP system and drive new insights into invention and i

  13. d

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

    • datarade.ai
    .csv, .xls, .txt
    + more versions
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    Alesco Data, Alesco Email Database - Identity Data - 2.3+ Billion US email records - available for identify resolution and appending! [Dataset]. https://datarade.ai/data-products/alesco-email-database-identity-data-1-8-billion-us-email-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 the US postal service National Change of Address (NCOA) service. Available for licensing!

    File size: 2.3 Billion IP Address: 1.9 Billion eAppend data: 1.48 Billion (full name/postal) Acquisition: 269 Million (full demo’s)

    Fields Included: -Name -Address -Email -Phone -IP Address

  14. I

    Intellectual Property Management Software Market Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Dec 8, 2024
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    AMA Research & Media LLP (2024). Intellectual Property Management Software Market Report [Dataset]. https://www.archivemarketresearch.com/reports/intellectual-property-management-software-market-5511
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Dec 8, 2024
    Dataset provided by
    AMA Research & Media LLP
    License

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

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

    The size of the Intellectual Property Management Software Market market was valued at USD 156.4 million in 2023 and is projected to reach USD 431.46 million by 2032, with an expected CAGR of 15.6 % during the forecast period. The intellectual property (IP) management software market focuses on solutions that help organizations manage and protect their intellectual property, including patents, trademarks, copyrights, and trade secrets. These platforms streamline the complex process of filing, tracking, licensing, and enforcing IP rights, providing tools for legal teams, R&D departments, and innovation-driven businesses. Market growth is driven by the increasing importance of IP in the global economy, rising patent filings, and the need for efficient IP portfolio management. Key trends include the integration of artificial intelligence and automation for better analytics and decision-making, cloud-based solutions for greater accessibility, and a growing demand for IP management systems among startups and small businesses. Additionally, the globalization of businesses and evolving regulatory frameworks are driving the adoption of comprehensive IP management tools. Recent developments include: In December 2022, Questel acquired Equinox, an Intellectual Property Management System(IPMS) provider. This acquisition added a dedicated solution for law firm clients in Questel’s portfolio, thereby strengthening its well-established business of IPMS. , In March 2022, Questel acquired Markify, one of the leading providers of trademark-watching and searching services. This acquisition gave Questel access to one of the largest trademark databases of Markify, enabling Questel to offer global end-to-end Intellectual Property services. .

  15. f

    Barrier database for the Iberian Peninsula (AMBER-IP )

    • figshare.com
    txt
    Updated Jun 3, 2023
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    Luca Börger; Carlos Garcia de Leaniz; Gonzalo Rincón-Sanz; Wouter van de Bund; Gilles Segura; Josh Jones (2023). Barrier database for the Iberian Peninsula (AMBER-IP ) [Dataset]. http://doi.org/10.6084/m9.figshare.12563495.v1
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    txtAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    figshare
    Authors
    Luca Börger; Carlos Garcia de Leaniz; Gonzalo Rincón-Sanz; Wouter van de Bund; Gilles Segura; Josh Jones
    License

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

    Area covered
    Iberian Peninsula
    Description

    Artificial barriers are one of the main threats to river ecosystems, resulting in habitat fragmentation and loss of connectivity. Yet, the abundance and distribution of most artificial barriers, excluding high head dams, is poorly documented. We provide a global assessment of the distribution and typology of artificial barriers in the Iberian Peninsula, and estimate for the first time the extent of river fragmentation. To this end, barrier data were compiled from existing databases and were ground truthed by field surveys and citizen science data in Portugal and Spain to derive a correction factor for barrier density across Iberian Peninsula.

  16. Remote Integration (REMI) Solutions Market Analysis North America, Europe,...

    • technavio.com
    Updated Jul 28, 2024
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    Technavio (2024). Remote Integration (REMI) Solutions Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, Germany, China, UK, Japan - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/remote-integration-solutions-market-analysis
    Explore at:
    Dataset updated
    Jul 28, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    United States, United Kingdom, Global
    Description

    Snapshot img

    Remote Integration Solutions Market Size 2024-2028

    The remote integration (REMI) solutions market size is forecast to increase by USD 22.73 billion at a CAGR of 39.04% between 2023 and 2028.

    The market is experiencing significant growth due to the increasing need for seamless integration of data from various sources. With the proliferation of big data and the adoption of advanced technologies like wireless technologies, cloud computing, and dark fiber, the market is witnessing a rise in demand for remote integration solutions. One of the key trends driving market growth is the integration of video content broadcasting with IT infrastructure, which is becoming increasingly important for businesses in various industries. Another trend is the integration of Customer Relationship Management (CRM) systems with other business applications, which is enabling organizations to gain valuable insights and improve customer engagement. However, the market also faces technical issues and delays in integrating large-scale IT projects. Despite these challenges, the market is expected to grow as businesses increasingly recognize the benefits of remote integration solutions for enhancing operational efficiency and data accuracy.
    

    What will be the Size of the Remote Integration (REMI) Solutions Market During the Forecast Period?

    Request Free Sample

    The market encompasses IT infrastructure for enterprise integration, web and wireless applications, and big data services. Indicators of market growth include the increasing adoption of service-oriented architecture (SOA), service buses, and cloud computing. REMI solutions facilitate customer relationship management, autonomous databases, IP audio processing, and routing engines. The market is driven by the proliferation of streaming service providers and traditional broadcasters in various industries, such as video content broadcasting, regional sports, live events, advertising, and outside broadcasting trucks.
    These players leverage REMI technologies for on-demand web broadcasting and streaming services, enabling real-time collaboration and efficient content production. The PESTEL analysis reveals factors like technological advancements, regulatory compliance, and market trends shaping the market. Followers of this market include microphones, cameras, and routing equipment manufacturers, catering to the evolving needs of the broadcasting and media industries.
    

    How is this Remote Integration (REMI) Solutions Industry segmented and which is the largest segment?

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

    Component
    
      Public cloud
      Private cloud
      Hybrid cloud
    
    
    Type
    
      Large enterprises
      Small and medium-sized enterprises
    
    
    Geography
    
      North America
    
        US
    
    
      Europe
    
        Germany
        UK
    
    
      APAC
    
        China
        Japan
    
    
      South America
    
    
    
      Middle East and Africa
    

    By Component Insights

    The public cloud segment is estimated to witness significant growth during the forecast period.
    

    In the realm of IT infrastructure, Remote Integration Solutions refer to services that enable seamless data exchange and communication between disparate systems and applications, particularly In the context of public cloud computing. These solutions facilitate Enterprise Integration, including Web, wireless, Big data services, and Service-oriented architecture (SOA), among others. They incorporate Service bus-market-analysis Cloud computing, Customer relationship management (CRM), Autonomous database, IP audio processing, routing engine, and various professional services. Remi Solutions are integral to various industries, such as Broadcasting, Healthcare, and Outside Broadcasting trucks, where IP circuits, Dark fiber, and access to IP addresses are essential. Key indicators include bandwidth, transmitters, decoders, receivers, switchers, and accessories.

    REMI Solutions enables live coverage of sports events, video content broadcasting, and on-demand web broadcasting for streaming service providers and traditional broadcasters, catering to the needs of sports enthusiasts and production staff.

    Get a glance at the market report of share of various segments Request Free Sample

    The public cloud segment was valued at USD 986.30 million in 2018 and showed a gradual increase during the forecast period.

    Regional Analysis

    North America is estimated to contribute 44% to the growth of the global market during the forecast period.
    

    Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    For more insights on the market size of various regions, Request Free Sample

    The North American market is experiencing significant growth due

  17. P

    Pakistan PK: Fixed Broadband Internet Subscribers

    • ceicdata.com
    Updated Apr 15, 2018
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    CEICdata.com (2018). Pakistan PK: Fixed Broadband Internet Subscribers [Dataset]. https://www.ceicdata.com/en/pakistan/telecommunication/pk-fixed-broadband-internet-subscribers
    Explore at:
    Dataset updated
    Apr 15, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Pakistan
    Variables measured
    Phone Statistics
    Description

    Pakistan PK: Fixed Broadband Internet Subscribers data was reported at 1,829,673.000 Person in 2017. This records an increase from the previous number of 1,642,805.000 Person for 2016. Pakistan PK: Fixed Broadband Internet Subscribers data is updated yearly, averaging 1,166,301.000 Person from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 2,008,684.000 Person in 2014 and a record low of 14,600.000 Person in 2005. Pakistan PK: Fixed Broadband Internet Subscribers data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Pakistan – Table PK.World Bank: Telecommunication. Fixed broadband subscriptions refers to fixed subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s. This includes cable modem, DSL, fiber-to-the-home/building, other fixed (wired)-broadband subscriptions, satellite broadband and terrestrial fixed wireless broadband. This total is measured irrespective of the method of payment. It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It should include fixed WiMAX and any other fixed wireless technologies. It includes both residential subscriptions and subscriptions for organizations.; ; International Telecommunication Union, World Telecommunication/ICT Development Report and database.; Sum; Please cite the International Telecommunication Union for third-party use of these data.

  18. d

    B2B data for Database enrichment & profiling in UK, Italy, Spain, France,...

    • datarade.ai
    .csv, .xls
    Updated Nov 14, 2022
    + more versions
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    Expandi (2022). B2B data for Database enrichment & profiling in UK, Italy, Spain, France, Germany and all the other Western Europe & Middle East markets [Dataset]. https://datarade.ai/data-products/b2b-data-for-database-enrichment-profiling-in-uk-italy-sp-expandi
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    .csv, .xlsAvailable download formats
    Dataset updated
    Nov 14, 2022
    Dataset authored and provided by
    Expandi
    Area covered
    Italy, Denmark, Norway, Netherlands, United Kingdom, Germany, Belgium, France, Spain
    Description

    Through two decades of campaigns delivery and optimization, Expandi has created the most comprehensive GDPR-compliant European database covering SMB, Midmarket, and Enterprise companies. Our data base is enriched with up-to-date technographic, financial and intent data. All our data is updated regularly and includes only active companies, allowing you to reach the most relevant and appropriate customers for your business.

    Our available data: • Updated company Firmographic, Financial data (revenues, financial strength, profit/loss), Decision Making Unit structure, and Key decision maker contacts (name, job title, LinkedIn profile). • Multi-language buyer intent data coming from omni-channel interactions and scored by brand and solutions. • Technographic and brand preference data. • Company IP addresses and Device ID mapping and tracking to help you identify unknown online traffic and boost the results of your awareness and branding campaigns.

    Target selection criteria: • Region / State-Province • Range employees (starting from 50+) • Range Revenues • Industry / Sub-industry • Financial strength • Decision Making Unit • Technographic data • Intent data solution / Intent data stage

    Data delivery: One-off purchase.

    Let’s start today to boost your demand generation campaigns and raise awareness of your brand and solutions!

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Morales, Camila (2023). IP2Location IP Geolocation Database LITE [Dataset]. http://doi.org/10.7910/DVN/GR6K0X

IP2Location IP Geolocation Database LITE

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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.

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