100+ datasets found
  1. Monthly web traffic to depop.com 2024

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Monthly web traffic to depop.com 2024 [Dataset]. https://www.statista.com/statistics/1498432/monthly-web-visits-to-depop/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2024 - Sep 2024
    Area covered
    Worldwide
    Description

    In the measured time period, September 2024 saw the highest figures for online traffic to the C2C fashion marketplace depop.com. According to the data, desktop and mobile visits to depop.com reached **** million visits that month.

  2. Share of global mobile website traffic 2015-2024

    • statista.com
    Updated Jan 28, 2025
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    Statista (2025). Share of global mobile website traffic 2015-2024 [Dataset]. https://www.statista.com/statistics/277125/share-of-website-traffic-coming-from-mobile-devices/
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    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Mobile accounts for approximately half of web traffic worldwide. In the last quarter of 2024, mobile devices (excluding tablets) generated 62.54 percent of global website traffic. Mobiles and smartphones consistently hoovered around the 50 percent mark since the beginning of 2017, before surpassing it in 2020. Mobile traffic Due to low infrastructure and financial restraints, many emerging digital markets skipped the desktop internet phase entirely and moved straight onto mobile internet via smartphone and tablet devices. India is a prime example of a market with a significant mobile-first online population. Other countries with a significant share of mobile internet traffic include Nigeria, Ghana and Kenya. In most African markets, mobile accounts for more than half of the web traffic. By contrast, mobile only makes up around 45.49 percent of online traffic in the United States. Mobile usage The most popular mobile internet activities worldwide include watching movies or videos online, e-mail usage and accessing social media. Apps are a very popular way to watch video on the go and the most-downloaded entertainment apps in the Apple App Store are Netflix, Tencent Video and Amazon Prime Video.

  3. amazon.com Website Traffic, Ranking, Analytics [June 2025]

    • semrush.com
    Updated Jul 12, 2025
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    Semrush (2025). amazon.com Website Traffic, Ranking, Analytics [June 2025] [Dataset]. https://www.semrush.com/website/amazon.com/overview/
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    Dataset updated
    Jul 12, 2025
    Dataset authored and provided by
    Semrushhttps://fr.semrush.com/
    License

    https://www.semrush.com/company/legal/terms-of-service/https://www.semrush.com/company/legal/terms-of-service/

    Time period covered
    Jul 12, 2025
    Area covered
    Worldwide
    Variables measured
    visits, backlinks, bounceRate, pagesPerVisit, authorityScore, organicKeywords, avgVisitDuration, referringDomains, trafficByCountry, paidSearchTraffic, and 3 more
    Measurement technique
    Semrush Traffic Analytics; Click-stream data
    Description

    amazon.com is ranked #5 in US with 2.56B Traffic. Categories: Online Services. Learn more about website traffic, market share, and more!

  4. Data from: Analysis of the Quantitative Impact of Social Networks General...

    • figshare.com
    • produccioncientifica.ucm.es
    doc
    Updated Oct 14, 2022
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    David Parra; Santiago Martínez Arias; Sergio Mena Muñoz (2022). Analysis of the Quantitative Impact of Social Networks General Data.doc [Dataset]. http://doi.org/10.6084/m9.figshare.21329421.v1
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    docAvailable download formats
    Dataset updated
    Oct 14, 2022
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    David Parra; Santiago Martínez Arias; Sergio Mena Muñoz
    License

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

    Description

    General data recollected for the studio " Analysis of the Quantitative Impact of Social Networks on Web Traffic of Cybermedia in the 27 Countries of the European Union". Four research questions are posed: what percentage of the total web traffic generated by cybermedia in the European Union comes from social networks? Is said percentage higher or lower than that provided through direct traffic and through the use of search engines via SEO positioning? Which social networks have a greater impact? And is there any degree of relationship between the specific weight of social networks in the web traffic of a cybermedia and circumstances such as the average duration of the user's visit, the number of page views or the bounce rate understood in its formal aspect of not performing any kind of interaction on the visited page beyond reading its content? To answer these questions, we have first proceeded to a selection of the cybermedia with the highest web traffic of the 27 countries that are currently part of the European Union after the United Kingdom left on December 31, 2020. In each nation we have selected five media using a combination of the global web traffic metrics provided by the tools Alexa (https://www.alexa.com/), which ceased to be operational on May 1, 2022, and SimilarWeb (https:// www.similarweb.com/). We have not used local metrics by country since the results obtained with these first two tools were sufficiently significant and our objective is not to establish a ranking of cybermedia by nation but to examine the relevance of social networks in their web traffic. In all cases, cybermedia whose property corresponds to a journalistic company have been selected, ruling out those belonging to telecommunications portals or service providers; in some cases they correspond to classic information companies (both newspapers and televisions) while in others they refer to digital natives, without this circumstance affecting the nature of the research proposed.
    Below we have proceeded to examine the web traffic data of said cybermedia. The period corresponding to the months of October, November and December 2021 and January, February and March 2022 has been selected. We believe that this six-month stretch allows possible one-time variations to be overcome for a month, reinforcing the precision of the data obtained. To secure this data, we have used the SimilarWeb tool, currently the most precise tool that exists when examining the web traffic of a portal, although it is limited to that coming from desktops and laptops, without taking into account those that come from mobile devices, currently impossible to determine with existing measurement tools on the market. It includes:

    Web traffic general data: average visit duration, pages per visit and bounce rate Web traffic origin by country Percentage of traffic generated from social media over total web traffic Distribution of web traffic generated from social networks Comparison of web traffic generated from social netwoks with direct and search procedures

  5. Total global visitor traffic to Facebook.com 2024

    • statista.com
    Updated Mar 18, 2025
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    Statista (2025). Total global visitor traffic to Facebook.com 2024 [Dataset]. https://www.statista.com/statistics/1259926/web-visitor-traffic-to-facebookcom/
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    Dataset updated
    Mar 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2023 - Mar 2024
    Area covered
    Worldwide
    Description

    Facebook is a web traffic powerhouse: in March 2024 approximately 16.6 billion visits were measured to the Facebook.com, making it one of the most-visited websites online. In the third quarter of 2023, Facebook had nearly three billion monthly active users.

  6. comscore.com Website Traffic, Ranking, Analytics [June 2025]

    • semrush.com
    Updated Jul 12, 2025
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    Semrush (2025). comscore.com Website Traffic, Ranking, Analytics [June 2025] [Dataset]. https://www.semrush.com/website/comscore.com/overview/
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    Dataset updated
    Jul 12, 2025
    Dataset authored and provided by
    Semrushhttps://fr.semrush.com/
    License

    https://www.semrush.com/company/legal/terms-of-service/https://www.semrush.com/company/legal/terms-of-service/

    Time period covered
    Jul 12, 2025
    Area covered
    Worldwide
    Variables measured
    visits, backlinks, bounceRate, pagesPerVisit, authorityScore, organicKeywords, avgVisitDuration, referringDomains, trafficByCountry, paidSearchTraffic, and 3 more
    Measurement technique
    Semrush Traffic Analytics; Click-stream data
    Description

    comscore.com is ranked #67364 in US with 198.16K Traffic. Categories: Advertising and Marketing. Learn more about website traffic, market share, and more!

  7. Daily website visitors (time series regression)

    • kaggle.com
    Updated Aug 20, 2020
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    Bob Nau (2020). Daily website visitors (time series regression) [Dataset]. https://www.kaggle.com/bobnau/daily-website-visitors/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 20, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Bob Nau
    Description

    Context

    This file contains 5 years of daily time series data for several measures of traffic on a statistical forecasting teaching notes website whose alias is statforecasting.com. The variables have complex seasonality that is keyed to the day of the week and to the academic calendar. The patterns you you see here are similar in principle to what you would see in other daily data with day-of-week and time-of-year effects. Some good exercises are to develop a 1-day-ahead forecasting model, a 7-day ahead forecasting model, and an entire-next-week forecasting model (i.e., next 7 days) for unique visitors.

    Content

    The variables are daily counts of page loads, unique visitors, first-time visitors, and returning visitors to an academic teaching notes website. There are 2167 rows of data spanning the date range from September 14, 2014, to August 19, 2020. A visit is defined as a stream of hits on one or more pages on the site on a given day by the same user, as identified by IP address. Multiple individuals with a shared IP address (e.g., in a computer lab) are considered as a single user, so real users may be undercounted to some extent. A visit is classified as "unique" if a hit from the same IP address has not come within the last 6 hours. Returning visitors are identified by cookies if those are accepted. All others are classified as first-time visitors, so the count of unique visitors is the sum of the counts of returning and first-time visitors by definition. The data was collected through a traffic monitoring service known as StatCounter.

    Inspiration

    This file and a number of other sample datasets can also be found on the website of RegressIt, a free Excel add-in for linear and logistic regression which I originally developed for use in the course whose website generated the traffic data given here. If you use Excel to some extent as well as Python or R, you might want to try it out on this dataset.

  8. Web clicks from Indiana University

    • zenodo.org
    • data.niaid.nih.gov
    application/gzip
    Updated Jan 24, 2020
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    Dimitar Nikolov; Dimitar Nikolov; Filippo Menczer; Filippo Menczer (2020). Web clicks from Indiana University [Dataset]. http://doi.org/10.5281/zenodo.2650234
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    application/gzipAvailable download formats
    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Dimitar Nikolov; Dimitar Nikolov; Filippo Menczer; Filippo Menczer
    License

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

    Description

    A collection of Web (HTTP) requests for the month of November 2009 originating from Indiana Univesity.

    This dataset was used in the Data Visualization Challenge at WebSci 2014 in Bloomington, Indiana. It is a sample of the larger Indiana University Click dataset.

  9. d

    NYC.gov Web Analytics

    • catalog.data.gov
    • data.cityofnewyork.us
    • +5more
    Updated Sep 30, 2022
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    data.cityofnewyork.us (2022). NYC.gov Web Analytics [Dataset]. https://catalog.data.gov/dataset/nyc-gov-web-analytics
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    Dataset updated
    Sep 30, 2022
    Dataset provided by
    data.cityofnewyork.us
    Area covered
    New York
    Description

    Web traffic statistics for the top 2000 most visited pages on nyc.gov by month.

  10. Monthly web traffic to craigslist.org 2025

    • statista.com
    Updated Feb 24, 2025
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    Statista (2025). Monthly web traffic to craigslist.org 2025 [Dataset]. https://www.statista.com/statistics/1559543/monthly-web-visits-to-craigslist/
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    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2024 - Jan 2025
    Area covered
    Worldwide
    Description

    In the measured time period, January 2025 saw the highest figures for online classifieds site craigslist.org. According to the data, desktop and mobile visits to depop.com reached 142.7 million visits that month.

  11. alexa.com Website Traffic, Ranking, Analytics [June 2025]

    • semrush.com
    Updated Jul 12, 2025
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    Semrush (2025). alexa.com Website Traffic, Ranking, Analytics [June 2025] [Dataset]. https://www.semrush.com/website/alexa.com/overview/
    Explore at:
    Dataset updated
    Jul 12, 2025
    Dataset authored and provided by
    Semrushhttps://fr.semrush.com/
    License

    https://www.semrush.com/company/legal/terms-of-service/https://www.semrush.com/company/legal/terms-of-service/

    Time period covered
    Jul 12, 2025
    Area covered
    Worldwide
    Variables measured
    visits, backlinks, bounceRate, pagesPerVisit, authorityScore, organicKeywords, avgVisitDuration, referringDomains, trafficByCountry, paidSearchTraffic, and 3 more
    Measurement technique
    Semrush Traffic Analytics; Click-stream data
    Description

    alexa.com is ranked #276482 in US with 72.39K Traffic. Categories: Advertising and Marketing, Computer Software and Development, Information Technology, Online Services. Learn more about website traffic, market share, and more!

  12. netflix.com Website Traffic, Ranking, Analytics [June 2025]

    • semrush.com
    Updated Jul 12, 2025
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    Semrush (2025). netflix.com Website Traffic, Ranking, Analytics [June 2025] [Dataset]. https://www.semrush.com/website/netflix.com/overview/
    Explore at:
    Dataset updated
    Jul 12, 2025
    Dataset authored and provided by
    Semrushhttps://fr.semrush.com/
    License

    https://www.semrush.com/company/legal/terms-of-service/https://www.semrush.com/company/legal/terms-of-service/

    Time period covered
    Jul 12, 2025
    Area covered
    Worldwide
    Variables measured
    visits, backlinks, bounceRate, pagesPerVisit, authorityScore, organicKeywords, avgVisitDuration, referringDomains, trafficByCountry, paidSearchTraffic, and 3 more
    Measurement technique
    Semrush Traffic Analytics; Click-stream data
    Description

    netflix.com is ranked #34 in US with 1.21B Traffic. Categories: Entertainment, Online Services. Learn more about website traffic, market share, and more!

  13. Internet traffic volume - Business Environment Profile

    • ibisworld.com
    Updated Aug 22, 2024
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    IBISWorld (2024). Internet traffic volume - Business Environment Profile [Dataset]. https://www.ibisworld.com/united-states/bed/internet-traffic-volume/88089
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    Dataset updated
    Aug 22, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Description

    Internet traffic volume measures global IP traffic, or the amount of data being sent and received over the internet globally each month. Data and forecasts are sourced from Cisco Systems Inc.

  14. a

    Pasadena Traffic Count Website

    • hub.arcgis.com
    • data.cityofpasadena.net
    Updated Jan 1, 2006
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    CityOfPasadenaCAGIS (2006). Pasadena Traffic Count Website [Dataset]. https://hub.arcgis.com/documents/eaaffc1269994f0e8966e2024647cc56
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    Dataset updated
    Jan 1, 2006
    Dataset authored and provided by
    CityOfPasadenaCAGIS
    Area covered
    Pasadena
    Description

    The City of Pasadena has a longstanding interest in protecting neighborhoods from cut-through traffic and speeding vehicles. As early as the 1980’s, the City authorized installation of speed humps to slow traffic in residential areas. Today, almost 400 of these traffic management devices have been installed along with many other traffic management measures.Traffic counts are conducted throughout the City of Pasadena either through resident requests, development projects, specific and general plans, or engineering studies. The Department of Transportation has collected these traffic counts and made them available to the public through the use of a Traffic Count Database.

  15. Web Analytics Market Analysis, Size, and Forecast 2025-2029: North America...

    • technavio.com
    Updated Apr 15, 2025
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    Technavio (2025). Web Analytics Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, and UK), APAC (China, India, Japan, and South Korea), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/web-analytics-market-industry-analysis
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    Dataset updated
    Apr 15, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    United States, Global
    Description

    Snapshot img

    Web Analytics Market Size 2025-2029

    The web analytics market size is forecast to increase by USD 3.63 billion, at a CAGR of 15.4% between 2024 and 2029.

    The market is experiencing significant growth, driven by the rising preference for online shopping and the increasing adoption of cloud-based solutions. The shift towards e-commerce is fueling the demand for advanced web analytics tools that enable businesses to gain insights into customer behavior and optimize their digital strategies. Furthermore, cloud deployment models offer flexibility, scalability, and cost savings, making them an attractive option for businesses of all sizes. However, the market also faces challenges associated with compliance to data privacy and regulations. With the increasing amount of data being generated and collected, ensuring data security and privacy is becoming a major concern for businesses.
    Regulatory compliance, such as GDPR and CCPA, adds complexity to the implementation and management of web analytics solutions. Companies must navigate these challenges effectively to maintain customer trust and avoid potential legal issues. To capitalize on market opportunities and address these challenges, businesses should invest in robust web analytics solutions that prioritize data security and privacy while providing actionable insights to inform strategic decision-making and enhance customer experiences.
    

    What will be the Size of the Web Analytics Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    The market continues to evolve, with dynamic market activities unfolding across various sectors. Entities such as reporting dashboards, schema markup, conversion optimization, session duration, organic traffic, attribution modeling, conversion rate optimization, call to action, content calendar, SEO audits, website performance optimization, link building, page load speed, user behavior tracking, and more, play integral roles in this ever-changing landscape. Data visualization tools like Google Analytics and Adobe Analytics provide valuable insights into user engagement metrics, helping businesses optimize their content strategy, website design, and technical SEO. Goal tracking and keyword research enable marketers to measure the return on investment of their efforts and refine their content marketing and social media marketing strategies.

    Mobile optimization, form optimization, and landing page optimization are crucial aspects of website performance optimization, ensuring a seamless user experience across devices and improving customer acquisition cost. Search console and page speed insights offer valuable insights into website traffic analysis and help businesses address technical issues that may impact user behavior. Continuous optimization efforts, such as multivariate testing, data segmentation, and data filtering, allow businesses to fine-tune their customer journey mapping and cohort analysis. Search engine optimization, both on-page and off-page, remains a critical component of digital marketing, with backlink analysis and page authority playing key roles in improving domain authority and organic traffic.

    The ongoing integration of user behavior tracking, click-through rate, and bounce rate into marketing strategies enables businesses to gain a deeper understanding of their audience and optimize their customer experience accordingly. As market dynamics continue to evolve, the integration of these tools and techniques into comprehensive digital marketing strategies will remain essential for businesses looking to stay competitive in the digital landscape.

    How is this Web Analytics Industry segmented?

    The web analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Deployment
    
      Cloud-based
      On-premises
    
    
    Application
    
      Social media management
      Targeting and behavioral analysis
      Display advertising optimization
      Multichannel campaign analysis
      Online marketing
    
    
    Component
    
      Solutions
      Services
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      Rest of World (ROW)
    

    .

    By Deployment Insights

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

    In today's digital landscape, web analytics plays a pivotal role in driving business growth and optimizing online performance. Cloud-based deployment of web analytics is a game-changer, enabling on-demand access to computing resources for data analysis. This model streamlines business intelligence processes by collecting,

  16. f

    Web Data | Global | Reach - 200 Million Records for Precise Audience...

    • factori.ai
    Updated Jul 15, 2025
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    (2025). Web Data | Global | Reach - 200 Million Records for Precise Audience Segments & Market Intelligence [Dataset]. https://www.factori.ai/datasets/web-data/
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    Dataset updated
    Jul 15, 2025
    License

    https://www.factori.ai/privacy-policyhttps://www.factori.ai/privacy-policy

    Area covered
    Global
    Description

    We provide detailed web activity data from users browsing popular websites worldwide. This comprehensive data allows for in-depth analysis of web behavior, enabling the creation of precise audience segments based on web activity. These segments can be used to target ads effectively, focusing on users' interests and their search or browsing intent.

    Web Data Reach

    Our web data reach includes extensive counts across various categories, covering attributes such as country, anonymous ID, IP addresses, search queries, and more.

    • Record Count: 200 Million
    • Capturing Frequency: Once per Event
    • Delivering Frequency: Once per Day
    • Updated: Monthly
    • Historic Data: Past 6 Months

    Data Export Methodology

    We dynamically collect and update data, providing the latest insights through the most appropriate method at intervals that best suit your needs, whether daily, weekly, or monthly.

    Use Cases

    Our web activity data is instrumental for personalized targeting, data enrichment, market intelligence, and enhancing fraud and cybersecurity measures, helping businesses optimize their strategies and security efforts.

  17. a

    ADT Site Values

    • hub.arcgis.com
    Updated Jan 3, 2025
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    Marion County Oregon (2025). ADT Site Values [Dataset]. https://hub.arcgis.com/datasets/ba42c3671e6643ad9a75a6d523920231
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    Dataset updated
    Jan 3, 2025
    Dataset authored and provided by
    Marion County Oregon
    Area covered
    Description

    Each point holds the measured average daily traffic volume for that site during the most recent survey. The site type attribute defines whether a classifier was used for the traffic count.Historical count data is available on the ADT website located at https://apps.co.marion.or.us/adt/

  18. Global share of human and bot web traffic 2013-2024

    • statista.com
    Updated Jul 21, 2025
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    Statista (2025). Global share of human and bot web traffic 2013-2024 [Dataset]. https://www.statista.com/statistics/1264226/human-and-bot-web-traffic-share/
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    Dataset updated
    Jul 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2024, most of the global website traffic was still generated by humans, but bot traffic is constantly growing. Fraudulent traffic through bad bot actors accounted for 37 percent of global web traffic in the most recently measured period, representing an increase of 12 percent from the previous year. Sophistication of Bad Bots on the rise The complexity of malicious bot activity has dramatically increased in recent years. Advanced bad bots have doubled in prevalence over the past 2 years, indicating a surge in the sophistication of cyber threats. Simultaneously, the share of simple bad bots drastically increased over the last years, suggesting a shift in the landscape of automated threats. Meanwhile, areas like food and groceries, sports, gambling, and entertainment faced the highest amount of advanced bad bots, with more than 70 percent of their bot traffic affected by evasive applications. Good and bad bots across industries The impact of bot traffic varies across different sectors. Bad bots accounted for over 50 percent of the telecom and ISPs, community and society, and computing and IT segments web traffic. However, not all bot traffic is considered bad. Some of these applications help index websites for search engines or monitor website performance, assisting users throughout their online search. Therefore, areas like entertainment, food and groceries, and even areas targeted by bad bots themselves experienced notable levels of good bot traffic, demonstrating the diverse applications of benign automated systems across different sectors.

  19. D

    Network Traffic Analysis NTA Software Market Report | Global Forecast From...

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 4, 2024
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    Dataintelo (2024). Network Traffic Analysis NTA Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-network-traffic-analysis-nta-software-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Dec 4, 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

    Network Traffic Analysis (NTA) Software Market Outlook



    The global Network Traffic Analysis (NTA) Software market size is poised to witness a robust growth trajectory, with a projected market valuation rising from approximately USD 3.5 billion in 2023 to an impressive USD 12.4 billion by 2032, growing at a compound annual growth rate (CAGR) of 15.2% during the forecast period. The surge in this market is predominantly fueled by the increasing need for sophisticated cybersecurity measures due to the escalating frequency and complexity of cyber threats. Organizations are progressively recognizing the critical importance of NTA software in detecting, monitoring, and responding to potential network anomalies and threats, driving the market's expansion.



    A major growth factor contributing to the burgeoning NTA Software market is the exponential growth in data traffic, attributed to the widespread adoption of cloud computing, IoT devices, and the ongoing digital transformation across industries. As enterprises expand their digital footprint, the volume of data traversing networks has seen an unprecedented rise, necessitating advanced network traffic analysis solutions to ensure efficient management and security of data. Moreover, the increasing sophistication of cyber threats, including advanced persistent threats (APTs) and ransomware, has made continuous network monitoring and analysis indispensable for organizations striving to protect sensitive information and maintain business continuity.



    Another significant driver for the NTA Software market is the growing regulatory pressures and compliance requirements across various sectors, including BFSI, healthcare, and government. These regulations mandate organizations to implement robust cybersecurity frameworks and ensure data protection, thereby propelling the demand for comprehensive NTA solutions. Companies are increasingly investing in NTA software to comply with standards such as GDPR, HIPAA, and PCI-DSS, which emphasize the importance of network security and data privacy. As regulatory landscapes continue to evolve, the necessity for effective network traffic analysis tools becomes even more pronounced, further accelerating market growth.



    The increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies in network traffic analysis is also a key factor driving the market's growth. These technologies enhance the capabilities of NTA software by enabling automated threat detection, predictive analytics, and anomaly detection, thereby improving the overall efficiency and accuracy of network monitoring. The integration of AI and ML has allowed NTA solutions to evolve from traditional reactive systems to proactive security platforms, capable of identifying and mitigating threats in real-time. This technological advancement is particularly attractive to large enterprises and government agencies that require robust security measures to safeguard critical infrastructure and data.



    From a regional perspective, North America is anticipated to lead the NTA Software market during the forecast period, owing to the region's well-established IT infrastructure and the presence of major industry players. The Asia Pacific region, however, is expected to witness the fastest growth, driven by rapid technological advancements, increasing internet penetration, and a rising focus on cybersecurity across emerging economies such as India and China. Europe also presents significant growth opportunities, supported by stringent data protection regulations and growing investments in cybersecurity solutions. These regional dynamics highlight the diverse growth trajectories and opportunities present across the global NTA Software market.



    Component Analysis



    The Network Traffic Analysis Software market is segmented into two primary components: software and services. The software segment accounts for the largest share of the market and is expected to continue its dominance throughout the forecast period. This is primarily due to the increasing demand for advanced network traffic analysis solutions that can efficiently monitor, detect, and respond to potential security threats. With the escalating frequency of cyberattacks, organizations are increasingly leveraging sophisticated software to enhance their network security posture and mitigate risks. The software component includes various solutions such as real-time traffic monitoring, anomaly detection, and threat intelligence, which are integral to comprehensive network security strategies.



    The services segment, on the other hand, is projected to witness signi

  20. Host country of organization for 86 websites in study.

    • plos.figshare.com
    xls
    Updated Jun 15, 2023
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    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen (2023). Host country of organization for 86 websites in study. [Dataset]. http://doi.org/10.1371/journal.pone.0268212.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen
    License

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

    Description

    Host country of organization for 86 websites in study.

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Statista (2025). Monthly web traffic to depop.com 2024 [Dataset]. https://www.statista.com/statistics/1498432/monthly-web-visits-to-depop/
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Monthly web traffic to depop.com 2024

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Dataset updated
Jul 10, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jul 2024 - Sep 2024
Area covered
Worldwide
Description

In the measured time period, September 2024 saw the highest figures for online traffic to the C2C fashion marketplace depop.com. According to the data, desktop and mobile visits to depop.com reached **** million visits that month.

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