13 datasets found
  1. Share of global mobile website traffic 2015-2024

    • statista.com
    • ai-chatbox.pro
    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.

  2. Amount of data created, consumed, and stored 2010-2023, with forecasts to...

    • statista.com
    Updated Nov 21, 2024
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    Statista (2024). Amount of data created, consumed, and stored 2010-2023, with forecasts to 2028 [Dataset]. https://www.statista.com/statistics/871513/worldwide-data-created/
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    Dataset updated
    Nov 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2024
    Area covered
    Worldwide
    Description

    The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching 149 zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than 394 zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just two percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of 19.2 percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached 6.7 zettabytes.

  3. d

    Traffic Volumes from SCATS Traffic Management System Jan-Jun 2025 DCC

    • datasalsa.com
    zip
    Updated Jun 19, 2025
    + more versions
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    Dublin City Council (2025). Traffic Volumes from SCATS Traffic Management System Jan-Jun 2025 DCC [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=dcc-scats-detector-volume-jan-jun-2025
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    zipAvailable download formats
    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Dublin City Council
    Time period covered
    Jun 19, 2025
    Description

    Traffic Volumes from SCATS Traffic Management System Jan-Jun 2025 DCC. Published by Dublin City Council. Available under the license cc-by (CC-BY-4.0).Traffic volumes data across Dublin City from the SCATS traffic management system. The Sydney Coordinated Adaptive Traffic System (SCATS) is an intelligent transportation system used to manage timing of signal phases at traffic signals. SCATS uses sensors at each traffic signal to detect vehicle presence in each lane and pedestrians waiting to cross at the local site. The vehicle sensors are generally inductive loops installed within the road.

    3 resources are provided:

    SCATS Traffic Volumes Data (Monthly) Contained in this report are traffic counts taken from the SCATS traffic detectors located at junctions. The primary function for these traffic detectors is for traffic signal control. Such devices can also count general traffic volumes at defined locations on approach to a junction. These devices are set at specific locations on approaches to the junction but may not be on all approaches to a junction. As there are multiple junctions on any one route, it could be expected that a vehicle would be counted multiple times as it progress along the route. Thus the traffic volume counts here are best used to represent trends in vehicle movement by selecting a specific junction on the route which best represents the overall traffic flows.

    Information provided:

    End Time: time that one hour count period finishes.

    Region: location of the detector site (e.g. North City, West City, etc).

    Site: this can be matched with the SCATS Sites file to show location

    Detector: the detectors/ sensors at each site are numbered

    Sum volume: total traffic volumes in preceding hour

    Avg volume: average traffic volumes per 5 minute interval in preceding hour

    All Dates Traffic Volumes Data

    This file contains daily totals of traffic flow at each site location.

    SCATS Site Location Data Contained in this report, the location data for the SCATS sites is provided. The meta data provided includes the following;

    Site id – This is a unique identifier for each junction on SCATS

    Site description( CAP) – Descriptive location of the junction containing street name(s) intersecting streets

    Site description (lower) - – Descriptive location of the junction containing street name(s) intersecting streets

    Region – The area of the city, adjoining local authority, region that the site is located

    LAT/LONG – Coordinates

    Disclaimer: the location files are regularly updated to represent the locations of SCATS sites under the control of Dublin City Council. However site accuracy is not absolute. Information for LAT/LONG and region may not be available for all sites contained. It is at the discretion of the user to link the files for analysis and to create further data. Furthermore, detector communication issues or faulty detectors could also result in an inaccurate result for a given period, so values should not be taken as absolute but can be used to indicate trends....

  4. Leading websites worldwide 2024, by monthly visits

    • statista.com
    • blockchain.appinop.com
    • +3more
    Updated Mar 24, 2025
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    Statista (2025). Leading websites worldwide 2024, by monthly visits [Dataset]. https://www.statista.com/statistics/1201880/most-visited-websites-worldwide/
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    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2024
    Area covered
    Worldwide
    Description

    In November 2024, Google.com was the most popular website worldwide with 136 billion average monthly visits. The online platform has held the top spot as the most popular website since June 2010, when it pulled ahead of Yahoo into first place. Second-ranked YouTube generated more than 72.8 billion monthly visits in the measured period. The internet leaders: search, social, and e-commerce Social networks, search engines, and e-commerce websites shape the online experience as we know it. While Google leads the global online search market by far, YouTube and Facebook have become the world’s most popular websites for user generated content, solidifying Alphabet’s and Meta’s leadership over the online landscape. Meanwhile, websites such as Amazon and eBay generate millions in profits from the sale and distribution of goods, making the e-market sector an integral part of the global retail scene. What is next for online content? Powering social media and websites like Reddit and Wikipedia, user-generated content keeps moving the internet’s engines. However, the rise of generative artificial intelligence will bring significant changes to how online content is produced and handled. ChatGPT is already transforming how online search is performed, and news of Google's 2024 deal for licensing Reddit content to train large language models (LLMs) signal that the internet is likely to go through a new revolution. While AI's impact on the online market might bring both opportunities and challenges, effective content management will remain crucial for profitability on the web.

  5. Traffic Volume and Classification in Massachusetts

    • mass.gov
    Updated Sep 18, 2017
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    Massachusetts Department of Transportation (2017). Traffic Volume and Classification in Massachusetts [Dataset]. https://www.mass.gov/traffic-volume-and-classification-in-massachusetts
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    Dataset updated
    Sep 18, 2017
    Dataset authored and provided by
    Massachusetts Department of Transportationhttp://www.massdot.state.ma.us/
    Area covered
    Massachusetts
    Description

    A collection of historic traffic count data and guidelines for how to collect new data for Massachusetts Department of Transportation (MassDOT) projects.

  6. o

    IvyDB Signed Volume - Daily Options Trading Volume Data

    • optionmetrics.com
    Updated Nov 15, 2023
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    OptionMetrics (2023). IvyDB Signed Volume - Daily Options Trading Volume Data [Dataset]. https://optionmetrics.com/
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    Dataset updated
    Nov 15, 2023
    Dataset authored and provided by
    OptionMetrics
    License

    https://optionmetrics.com/contact/https://optionmetrics.com/contact/

    Time period covered
    Jan 1, 2016 - Present
    Description

    The IvyDB Signed Volume dataset, available as an add-on product for IvyDB US, contains daily data on detailed option trading volume. Trades in the IvyDB US dataset are assigned as either buyer-initiated or seller-initiated based on the trade price and the bid-ask quote at the time of the trade. The total assigned daily volume is aggregated and updated nightly.

  7. Countries with the highest monthly traffic volume to OnlyFans.com 2024

    • statista.com
    • ai-chatbox.pro
    Updated Jan 21, 2025
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    Statista (2025). Countries with the highest monthly traffic volume to OnlyFans.com 2024 [Dataset]. https://www.statista.com/statistics/1291915/onlyfans-global-monthly-visits-by-country/
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    Dataset updated
    Jan 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2024
    Area covered
    Worldwide
    Description

    In December 2024, users in the United States amassed approximately 178 million visits to the content creator website OnlyFans. The United Kingdom followed, with approximately 20 million visits to the photo and video sharing platform during the examined month. Users in the Mexico and India amassed around 15 million and 14 million visits to the OnlyFans website, respectively, during the last examined month.

  8. World Traffic Map

    • hub.arcgis.com
    • keep-cool-global-community.hub.arcgis.com
    • +2more
    Updated Dec 13, 2012
    + more versions
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    Esri (2012). World Traffic Map [Dataset]. https://hub.arcgis.com/maps/esri::world-traffic-map/about
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    Dataset updated
    Dec 13, 2012
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This map contains a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows:Green (fast): 85 - 100% of free flow speedsYellow (moderate): 65 - 85%Orange (slow); 45 - 65%Red (stop and go): 0 - 45%Esri's historical, live, and predictive traffic feeds come directly from TomTom (www.tomtom.com). Historical traffic is based on the average of observed speeds over the past year. The live and predictive traffic data is updated every five minutes through traffic feeds. The color coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation and field operations. The traffic map layer contains two sublayers: Traffic and Live Traffic. The Traffic sublayer (shown by default) leverages historical, live and predictive traffic data; while the Live Traffic sublayer is calculated from just the live and predictive traffic data only. A color coded traffic map can be requested for the current time and any time in the future. A map for a future request might be used for planning purposes. The map also includes dynamic traffic incidents showing the location of accidents, construction, closures and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis. The service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.

  9. Common languages used for web content 2025, by share of websites

    • statista.com
    • ai-chatbox.pro
    Updated Feb 11, 2025
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    Statista (2025). Common languages used for web content 2025, by share of websites [Dataset]. https://www.statista.com/statistics/262946/most-common-languages-on-the-internet/
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    Dataset updated
    Feb 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    As of February 2025, English was the most popular language for web content, with over 49.4 percent of websites using it. Spanish ranked second, with six percent of web content, while the content in the German language followed, with 5.6 percent. English as the leading online language United States and India, the countries with the most internet users after China, are also the world's biggest English-speaking markets. The internet user base in both countries combined, as of January 2023, was over a billion individuals. This has led to most of the online information being created in English. Consequently, even those who are not native speakers may use it for convenience. Global internet usage by regions As of October 2024, the number of internet users worldwide was 5.52 billion. In the same period, Northern Europe and North America were leading in terms of internet penetration rates worldwide, with around 97 percent of its populations accessing the internet.

  10. Fashion Keywords

    • link-assistant.com
    xlsx
    Updated May 13, 2023
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    SEO PowerSuite (2023). Fashion Keywords [Dataset]. https://www.link-assistant.com/news/fashion-keywords.html
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    xlsxAvailable download formats
    Dataset updated
    May 13, 2023
    Dataset provided by
    SEO PowerSuite
    Link-Assistant.Comhttps://plus.google.com/100143517204262576184/posts
    Authors
    SEO PowerSuite
    Description

    A dataset of fashion keywords, including their definitions, synonyms, antonyms, search volume and costs.

  11. M

    Annual Average Daily Traffic Locations in Minnesota

    • gisdata.mn.gov
    fgdb, gpkg, html +3
    Updated Jun 12, 2025
    + more versions
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    Transportation Department (2025). Annual Average Daily Traffic Locations in Minnesota [Dataset]. https://gisdata.mn.gov/dataset/trans-aadt-traffic-count-locs
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    gpkg, html, webapp, fgdb, jpeg, shpAvailable download formats
    Dataset updated
    Jun 12, 2025
    Dataset provided by
    Transportation Department
    Area covered
    Minnesota
    Description

    AADT represents current (most recent) Annual Average Daily Traffic on sampled road systems. This information is displayed using the Traffic Count Locations Active feature class as of the annual HPMS freeze in January. Historical AADT is found in another table. Please note that updates to this dataset are on an annual basis, therefore the data may not match ground conditions or may not be available for new roadways. Resource Contact: Christy Prentice, Traffic Forecasting & Analysis (TFA), http://www.dot.state.mn.us/tda/contacts.html#TFA

    Check other metadata records in this package for more information on Annual Average Daily Traffic Locations Information.


    Link to ESRI Feature Service:

    Annual Average Daily Traffic Locations in Minnesota: Annual Average Daily Traffic Locations


  12. Annual Average Daily Traffic TDA

    • gis-fdot.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Jul 21, 2017
    + more versions
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    Florida Department of Transportation (2017). Annual Average Daily Traffic TDA [Dataset]. https://gis-fdot.opendata.arcgis.com/datasets/annual-average-daily-traffic-tda
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    Dataset updated
    Jul 21, 2017
    Dataset authored and provided by
    Florida Department of Transportationhttps://www.fdot.gov/
    Area covered
    Description

    The FDOT Annual Average Daily Traffic feature class provides spatial information on Annual Average Daily Traffic section breaks for the state of Florida. In addition, it provides affiliated traffic information like KFCTR, DFCTR and TFCTR among others. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 06/14/2025.Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/aadt.zip

  13. Global market share of leading desktop search engines 2015-2025

    • statista.com
    • ai-chatbox.pro
    Updated Apr 28, 2025
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    Statista (2025). Global market share of leading desktop search engines 2015-2025 [Dataset]. https://www.statista.com/statistics/216573/worldwide-market-share-of-search-engines/
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    Dataset updated
    Apr 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2015 - Mar 2025
    Area covered
    Worldwide
    Description

    As of March 2025, Google represented 79.1 percent of the global online search engine market on desktop devices. Despite being much ahead of its competitors, this represents the lowest share ever recorded by the search engine in these devices for over two decades. Meanwhile, its long-time competitor Bing accounted for 12.21 percent, as tools like Yahoo and Yandex held shares of over 2.9 percent each. Google and the global search market Ever since the introduction of Google Search in 1997, the company has dominated the search engine market, while the shares of all other tools has been rather lopsided. The majority of Google revenues are generated through advertising. Its parent corporation, Alphabet, was one of the biggest internet companies worldwide as of 2024, with a market capitalization of 2.02 trillion U.S. dollars. The company has also expanded its services to mail, productivity tools, enterprise products, mobile devices, and other ventures. As a result, Google earned one of the highest tech company revenues in 2024 with roughly 348.16 billion U.S. dollars. Search engine usage in different countries Google is the most frequently used search engine worldwide. But in some countries, its alternatives are leading or competing with it to some extent. As of the last quarter of 2023, more than 63 percent of internet users in Russia used Yandex, whereas Google users represented little over 33 percent. Meanwhile, Baidu was the most used search engine in China, despite a strong decrease in the percentage of internet users in the country accessing it. In other countries, like Japan and Mexico, people tend to use Yahoo along with Google. By the end of 2024, nearly half of the respondents in Japan said that they had used Yahoo in the past four weeks. In the same year, over 21 percent of users in Mexico said they used Yahoo.

  14. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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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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Share of global mobile website traffic 2015-2024

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157 scholarly articles cite this dataset (View in Google Scholar)
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.

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