100+ datasets found
  1. Countries with the most YouTube users 2025

    • statista.com
    Updated Feb 17, 2025
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    Countries with the most YouTube users 2025 [Dataset]. https://www.statista.com/statistics/280685/number-of-monthly-unique-youtube-users/
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    Dataset updated
    Feb 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide, YouTube
    Description

    As of February 2025, India was the country with the largest YouTube audience by far, with approximately 491 million users engaging with the popular social video platform. The United States followed, with around 253 million YouTube viewers. Brazil came in third, with 144 million users watching content on YouTube. The United Kingdom saw around 54.8 million internet users engaging with the platform in the examined period. What country has the highest percentage of YouTube users? In July 2024, the United Arab Emirates was the country with the highest YouTube penetration worldwide, as around 94 percent of the country's digital population engaged with the service. In 2024, YouTube counted around 100 million paid subscribers for its YouTube Music and YouTube Premium services. YouTube mobile markets In 2024, YouTube was among the most popular social media platforms worldwide. In terms of revenues, the YouTube app generated approximately 28 million U.S. dollars in revenues in the United States in January 2024, as well as 19 million U.S. dollars in Japan.

  2. Most viewed YouTube videos of all time 2025

    • statista.com
    Updated Feb 17, 2025
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    Statista (2025). Most viewed YouTube videos of all time 2025 [Dataset]. https://www.statista.com/statistics/249396/top-youtube-videos-views/
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    Dataset updated
    Feb 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    YouTube, Worldwide
    Description

    On June 17, 2016, Korean education brand Pinkfong released their video "Baby Shark Dance", and the rest is history. In January 2021, Baby Shark Dance became the first YouTube video to surpass 10 billion views, after snatching the crown of most-viewed YouTube video of all time from the former record holder "Despacito" one year before. "Baby Shark Dance" currently has over 15 billion lifetime views on YouTube. Music videos on YouTube “Baby Shark Dance” might be the current record-holder in terms of total views, but Korean artist Psy’s “Gangnam Style” video remained on the top spot for longest (1,689 days or 4.6 years) before ceding its spot to its successor. With figures like these, it comes as little surprise that the majority of the most popular videos on YouTube are music videos. Since 2010, all but one the most-viewed videos on YouTube have been music videos, signifying the platform’s shift in focus from funny, viral videos to professionally produced content. As of 2022, about 40 percent of the U.S. digital music audience uses YouTube Music. Popular video content on YouTube Music fans are also highly engaged audiences and it is not uncommon for music videos to garner significant amounts of traffic within the first 24 hours of release. Other popular types of videos that generate lots of views after their first release are movie trailers, especially superhero movies related to the MCU (Marvel Cinematic Universe). The first official trailer for the upcoming film “Avengers: Endgame” generated 289 million views within the first 24 hours of release, while the movie trailer for Spider-Man: No Way Home generated over 355 views on the first day from release, making it the most viral movie trailer.

  3. YouTube Trending Video Dataset (updated daily)

    • kaggle.com
    zip
    Updated Apr 15, 2024
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    Rishav Sharma (2024). YouTube Trending Video Dataset (updated daily) [Dataset]. https://www.kaggle.com/rsrishav/YouTube-trending-video-dataset
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    zip(0 bytes)Available download formats
    Dataset updated
    Apr 15, 2024
    Authors
    Rishav Sharma
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    YouTube
    Description

    This dataset is a daily record of the top trending YouTube videos and it will be updated daily.

    Context

    YouTube maintains a list of the top trending videos on the platform. According to Variety magazine, “To determine the year’s top-trending videos, YouTube uses a combination of factors including measuring users interactions (number of views, shares, comments and likes). Note that they’re not the most-viewed videos overall for the calendar year”.

    Note that this dataset is a structurally improved version of this dataset.

    Content

    This dataset includes several months (and counting) of data on daily trending YouTube videos. Data is included for the IN, US, GB, DE, CA, FR, RU, BR, MX, KR, and JP regions (India, USA, Great Britain, Germany, Canada, France, Russia, Brazil, Mexico, South Korea, and, Japan respectively), with up to 200 listed trending videos per day.

    Each region’s data is in a separate file. Data includes the video title, channel title, publish time, tags, views, likes and dislikes, description, and comment count.

    The data also includes a category_id field, which varies between regions. To retrieve the categories for a specific video, find it in the associated JSON. One such file is included for each of the 11 regions in the dataset.

    For more information on specific columns in the dataset refer to the column metadata.

    Acknowledgements

    This dataset was collected using the YouTube API. This dataset is the updated version of Trending YouTube Video Statistics.

    Inspiration

    Possible uses for this dataset could include: - Sentiment analysis in a variety of forms - Categorizing YouTube videos based on their comments and statistics. - Training ML algorithms like RNNs to generate their own YouTube comments. - Analyzing what factors affect how popular a YouTube video will be. - Statistical analysis over time .

    For further inspiration, see the kernels on this dataset!

  4. PewDiePie video views 2016-2024

    • statista.com
    Updated Jan 15, 2025
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    Statista (2025). PewDiePie video views 2016-2024 [Dataset]. https://www.statista.com/statistics/681092/pewdiepie-video-view-numbers/
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    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2016 - Dec 2024
    Area covered
    Worldwide
    Description

    Felix Arvid Ulf Kjellberg - operating on YouTube as PewDiePie - is one of the most successful content creators on the platform. As of December 2024, the popular YouTuber had accumulated approximately 29.4 billion views on his channel. Despite his success, PewDiePie 's YouTube channel has experienced stagnant growth in 2022, maintaining its audience at 111 million subscribers since December 2021. Most popular channels While PewDiePie’s accumulated more than 29 billion views is impressive, it is dwarfed by the most watched channels on YouTube. Wiz Khalifa music channel is the most watched YouTube channel on a monthly basis, with viewers watching their videos an incredible 5.99 billion times every month. Fast fame on YouTube Now a decade old, YouTube’s ability to connect content creators with massive audiences has led to the emergence of channels that rival mainstream media outlets in terms of audience size. In some cases, videos can reach 100 million views in just a matter of days. Channels for kids such as Cocomelon - Nursery Rhymes have also been popular, with lifetime views of over 194 billion.

  5. Leading video content type worldwide Q3 2024, by usage reach

    • statista.com
    Updated Feb 17, 2025
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    Statista (2025). Leading video content type worldwide Q3 2024, by usage reach [Dataset]. https://www.statista.com/statistics/1254810/top-video-content-type-by-global-reach/
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    Dataset updated
    Feb 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In recent years, video has become one of the most popular online formats, spanning from educational content to product reviews. During the third quarter of 2024, music videos recorded the highest category reach, with almost half of internet users worldwide reporting to watch music videos online each week. Social video engagement In recent years, YouTube and TikTok have become two of the most important social media platforms for global users, as video content commands high levels of engagement. In 2024, users worldwide spent approximately 28.4 hours using the YouTube mobile app per month. Additionally, the leading hashtags used by content creators on TikTok have amassed billions of views: as of January 2024, the TikTok hashtag “fyp” or “for you page” had reached 55 and 35 billion post views, respectively. Watching content: what device do users prefer? In 2023, televisions were the most used devices for global viewers to watch video-on-demand (VOD), with 55 percent of respondents reporting using these devices. In comparison, 13 percent of respondents reported using smartphones. Age group and generation are factors impacting viewership habits and device preferences, as younger users appear to prefer using their smartphones to consume content. According to a March 2024 survey, U.S. users aged 18-34 years were more likely to watch video content on smartphones than any other devices. By comparison, connected TVs were particularly popular for the online video audience aged 35 and older.

  6. YouTube users worldwide 2020-2029

    • statista.com
    Updated Mar 3, 2025
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    Statista (2025). YouTube users worldwide 2020-2029 [Dataset]. https://www.statista.com/forecasts/1144088/youtube-users-in-the-world
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    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide, YouTube
    Description

    The global number of Youtube users in was forecast to continuously increase between 2024 and 2029 by in total 232.5 million users (+24.91 percent). After the ninth consecutive increasing year, the Youtube user base is estimated to reach 1.2 billion users and therefore a new peak in 2029. Notably, the number of Youtube users of was continuously increasing over the past years.User figures, shown here regarding the platform youtube, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Youtube users in countries like Africa and South America.

  7. Non-professional YouTube videos: viewing frequency in the UK 2015, by age

    • statista.com
    Updated Dec 31, 2015
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    Non-professional YouTube videos: viewing frequency in the UK 2015, by age [Dataset]. https://www.statista.com/statistics/502580/viewing-frequency-of-non-professional-youtube-videos-age-uk/
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    Dataset updated
    Dec 31, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 23, 2015 - Sep 27, 2015
    Area covered
    United Kingdom
    Description

    This statistic shows the frequency of viewing YouTube videos uploaded by friends, family or other non-professional YouTube users in the United Kingdom (UK) in 2015, by age. Of the respondents 55 years or older, 28 percent answered they weren't aware of this service.

  8. d

    Replication Data for: Estimating the Ideology of YouTube Videos

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Dec 16, 2023
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    Lai, Angela; Brown, Megan A.; Bisbee, James; Tucker, Joshua A.; Nagler, Jonathan; Bonneau, Richard (2023). Replication Data for: Estimating the Ideology of YouTube Videos [Dataset]. http://doi.org/10.7910/DVN/WZZFTW
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    Dataset updated
    Dec 16, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Lai, Angela; Brown, Megan A.; Bisbee, James; Tucker, Joshua A.; Nagler, Jonathan; Bonneau, Richard
    Area covered
    YouTube
    Description

    Abstract: We present a method for estimating the ideology of political YouTube videos. The subfield of estimating ideology as a latent variable has often focused on traditional actors such as legislators while more recent work has used social media data to estimate the ideology of ordinary users, political elites, and media sources. We build on this work to estimate the ideology of a political YouTube video. First, we start with a matrix of political Reddit posts linking to YouTube videos and apply correspondence analysis to place those videos in an ideological space. Second, we train a language model with those estimated ideologies as training labels, enabling us to estimate the ideologies of videos not posted on Reddit. These predicted ideologies are then validated against human labels. We demonstrate the utility of this method by applying it to the watch histories of survey respondents to evaluate the prevalence of echo chambers on YouTube in addition to the association between video ideology and viewer engagement. Our approach gives video-level scores based only on supplied text metadata, is scalable, and can be easily adjusted to account for changes in the ideological landscape. Keywords: Ideology estimation, YouTube, latent variable This folder contains the replication materials for "Estimating the Ideology of Political YouTube Videos."

  9. Hours of video uploaded to YouTube every minute 2007-2022

    • statista.com
    Updated Apr 11, 2024
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    Statista (2024). Hours of video uploaded to YouTube every minute 2007-2022 [Dataset]. https://www.statista.com/statistics/259477/hours-of-video-uploaded-to-youtube-every-minute/
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    Dataset updated
    Apr 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2007 - Jun 2022
    Area covered
    Worldwide, YouTube
    Description

    As of June 2022, more than 500 hours of video were uploaded to YouTube every minute. This equates to approximately 30,000 hours of newly uploaded content per hour. The amount of content on YouTube has increased dramatically as consumer’s appetites for online video has grown. In fact, the number of video content hours uploaded every 60 seconds grew by around 40 percent between 2014 and 2020.

    YouTube global users

    Online video is one of the most popular digital activities worldwide, with 27 percent of internet users worldwide watching more than 17 hours of online videos on a weekly basis in 2023. It was estimated that in 2023 YouTube would reach approximately 900 million users worldwide. In 2022, the video platform was one of the leading media and entertainment brands worldwide, with a value of more than 86 billion U.S. dollars.

    YouTube video content consumption

    The most viewed YouTube channels of all time have racked up billions of viewers, millions of subscribers and cover a wide variety of topics ranging from music to cosmetics. The YouTube channel owner with the most video views is Indian music label T-Series, which counted 217.25 billion lifetime views. Other popular YouTubers are gaming personalities such as PewDiePie, DanTDM and Markiplier.

  10. Digital video ad views in the U.S. 2023, by platform

    • flwrdeptvarieties.store
    • statista.com
    Updated Feb 2, 2024
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    Michele Majidi (2024). Digital video ad views in the U.S. 2023, by platform [Dataset]. https://flwrdeptvarieties.store/?_=%2Ftopics%2F11906%2Fdisney-advertising%2F%23zUpilBfjadnL7vc%2F8wIHANZKd8oHtis%3D
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    Dataset updated
    Feb 2, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Michele Majidi
    Area covered
    United States
    Description

    In the second half of 2023, free ad-supported streaming (FAST) services accounted for 25 percent of digital video ad views in the United States whereas virtual multichannel video programming distributors, such as YouTube TV, accounted for six percent of the total.

  11. U.S. YouTube users who regularly watch favorite YouTube channels 2017

    • statista.com
    Updated Sep 3, 2019
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    Statista (2019). U.S. YouTube users who regularly watch favorite YouTube channels 2017 [Dataset]. https://www.statista.com/statistics/259490/us-users-who-regularly-watch-favourite-youtube-channels/
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    Dataset updated
    Sep 3, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2, 2017 - Feb 8, 2017
    Area covered
    United States
    Description

    This statistic gives information on the percentage of U.S. YouTube users who regularly watch favorite YouTube channels as of February 2017. During the survey, it was found that 34 percent of YouTube users had more than two favorite channels they watched regularly. As of February 2017, PewDiePie was the most popular channel on the platform, according to the number of subscribers.

  12. Share of global YouTube viewing time Q2 2021, by device

    • statista.com
    Updated Dec 8, 2023
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    Statista (2023). Share of global YouTube viewing time Q2 2021, by device [Dataset]. https://www.statista.com/statistics/1173543/youtube-viewing-time-share-device/
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    Dataset updated
    Dec 8, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide, YouTube
    Description

    In the second quarter of 2021, mobile devices accounted for 63 percent of YouTube viewing time worldwide. In contrast, consoles and connected TVs reported a share of views corresponding to three percent and 14 percent of the total, respectively.

  13. d

    Replication Data for: \"Going viral on advertising YouTube video: Detecting...

    • search.dataone.org
    • dataone.org
    Updated Nov 8, 2023
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    Isabella, Giuliana; Melo, Andressa Freitas de; Gonzalez, Marcela Carvalho (2023). Replication Data for: \"Going viral on advertising YouTube video: Detecting the influences\" published by RAC-Revista de Administração Contemporânea [Dataset]. http://doi.org/10.7910/DVN/D3028Z
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Isabella, Giuliana; Melo, Andressa Freitas de; Gonzalez, Marcela Carvalho
    Area covered
    YouTube
    Description

    The file "2020.03.10 - Análise_Campanhas.xlsx" contains the names of all YouTube videos that were evaluated in the survey, along with their corresponding access links (for the paper - accessed occurred in March 2020), and the number of shares up to that date. The file "Conjoint Analysis.sav" contains the data collection used for the Conjoint Analysis - Study 2 of the article. If you want the same data in SAV I can provide it. The file "Appendix.pdf" contains the images used in the data collection

  14. Video-EEG Encoding-Decoding Dataset KU Leuven

    • zenodo.org
    • data.niaid.nih.gov
    zip
    Updated Jun 11, 2024
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    Yuanyuan Yao; Yuanyuan Yao; Axel Stebner; Axel Stebner; Tinne Tuytelaars; Tinne Tuytelaars; Simon Geirnaert; Simon Geirnaert; Alexander Bertrand; Alexander Bertrand (2024). Video-EEG Encoding-Decoding Dataset KU Leuven [Dataset]. http://doi.org/10.5281/zenodo.10512414
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    zipAvailable download formats
    Dataset updated
    Jun 11, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Yuanyuan Yao; Yuanyuan Yao; Axel Stebner; Axel Stebner; Tinne Tuytelaars; Tinne Tuytelaars; Simon Geirnaert; Simon Geirnaert; Alexander Bertrand; Alexander Bertrand
    License

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

    Area covered
    Leuven
    Description

    If using this dataset, please cite the following paper and the current Zenodo repository.

    This dataset is described in detail in the following paper:

    Yao, Y., Stebner, A., Tuytelaars, T., Geirnaert, S., & Bertrand, A. (2024). Identifying temporal correlations between natural single-shot videos and EEG signals. Journal of Neural Engineering, 21(1), 016018. doi:10.1088/1741-2552/ad2333

    Introduction

    The research work leading to this dataset was conducted at the Department of Electrical Engineering (ESAT), KU Leuven.

    This dataset contains electroencephalogram (EEG) data collected from 19 young participants with normal or corrected-to-normal eyesight when they were watching a series of carefully selected YouTube videos. The videos were muted to avoid the confounds introduced by audio. For synchronization, a square box was encoded outside of the original frames and flashed every 30 seconds in the top right corner of the screen. A photosensor, detecting the light changes from this flashing box, was affixed to that region using black tape to ensure that the box did not distract participants. The EEG data was recorded using a BioSemi ActiveTwo system at a sample rate of 2048 Hz. Participants wore a 64-channel EEG cap, and 4 electrooculogram (EOG) sensors were positioned around the eyes to track eye movements.

    The dataset includes a total of (19 subjects x 63 min + 9 subjects x 24 min) of data. Further details can be found in the following section.

    Content

    • YouTube Videos: Due to copyright constraints, the dataset includes links to the original YouTube videos along with precise timestamps for the segments used in the experiments.
    • Raw EEG Data: Organized by subject ID, the dataset contains EEG segments corresponding to the presented videos. Both EEGLAB .set files (containing metadata) and .fdt files (containing raw data) are provided, which can also be read by popular EEG analysis Python packages such as MNE.
      • The naming convention links each EEG segment to its corresponding video. E.g., the EEG segment 01_eeg corresponds to video 01_Dance_1, 03_eeg corresponds to video 03_Acrob_1, Mr_eeg corresponds to video Mr_Bean, etc.
      • The raw data have 68 channels. The first 64 channels are EEG data, and the last 4 channels are EOG data. The position coordinates of the standard BioSemi headcaps can be downloaded here: https://www.biosemi.com/download/Cap_coords_all.xls.
      • Due to minor synchronization ambiguities, different clocks in the PC and EEG recorder, and missing or extra video frames during video playback (rarely occurred), the length of the EEG data may not perfectly match the corresponding video data. The difference, typically within a few milliseconds, can be resolved by truncating the modality with the excess samples.
    • Signal Quality Information: A supplementary .txt file detailing potential bad channels. Users can opt to create their own criteria for identifying and handling bad channels.

    The dataset is divided into two subsets: Single-shot and MrBean, based on the characteristics of the video stimuli.

    Single-shot Dataset

    The stimuli of this dataset consist of 13 single-shot videos (63 min in total), each depicting a single individual engaging in various activities such as dancing, mime, acrobatics, and magic shows. All the participants watched this video collection.

    Video IDLinkStart time (s)End time (s)
    01_Dance_1https://youtu.be/uOUVE5rGmhM8.54231.20
    03_Acrob_1https://youtu.be/DjihbYg6F2Y4.24231.91
    04_Magic_1https://youtu.be/CvzMqIQLiXE3.68348.17
    05_Dance_2https://youtu.be/f4DZp0OEkK45.05227.99
    06_Mime_2https://youtu.be/u9wJUTnBdrs5.79347.05
    07_Acrob_2https://youtu.be/kRqdxGPLajs183.61519.27
    08_Magic_2https://youtu.be/FUv-Q6EgEFI3.36270.62
    09_Dance_3https://youtu.be/LXO-jKksQkM5.61294.17
    12_Magic_3https://youtu.be/S84AoWdTq3E1.76426.36
    13_Dance_4https://youtu.be/0wc60tA1klw14.28217.18
    14_Mime_3https://youtu.be/0Ala3ypPM3M21.87386.84
    15_Dance_5https://youtu.be/mg6-SnUl0A015.14233.85
    16_Mime_6https://youtu.be/8V7rhAJF6Gc31.64388.61

    MrBean Dataset

    Additionally, 9 participants watched an extra 24-minute clip from the first episode of Mr. Bean, where multiple (moving) objects may exist and interact, and the camera viewpoint may change. The subject IDs and the signal quality files are inherited from the single-shot dataset.

    Video IDLinkStart time (s)End time (s)
    Mr_Beanhttps://www.youtube.com/watch?v=7Im2I6STbms39.771495.00

    Acknowledgement

    This research is funded by the Research Foundation - Flanders (FWO) project No G081722N, junior postdoctoral fellowship fundamental research of the FWO (for S. Geirnaert, No. 1242524N), the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement No 802895), the Flemish Government (AI Research Program), and the PDM mandate from KU Leuven (for S. Geirnaert, No PDMT1/22/009).

    We also thank the participants for their time and effort in the experiments.

    Contact Information

    Executive researcher: Yuanyuan Yao, yuanyuan.yao@kuleuven.be

    Led by: Prof. Alexander Bertrand, alexander.bertrand@kuleuven.be

  15. YouTube: distribution of global audiences 2025, by age and gender

    • statista.com
    Updated Feb 13, 2025
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    YouTube: distribution of global audiences 2025, by age and gender [Dataset]. https://www.statista.com/statistics/1287137/youtube-global-users-age-gender-distribution/
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    Dataset updated
    Feb 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide, YouTube
    Description

    As of February 2025, 12 percent of the YouTube global audience was composed of male users aged between 25 and 34 years, as well as around 9.7 percent of female users of the same age. Male users aged between 35 and 44 years on the platform accounted for 10.1 percent of the total, while women of the same age using YouTube had an audience share of 8.4 percent in the examined period. YouTube’s global popularity The number of monthly active users on YouTube reached almost 2.5 billion in April 2024, making it the second most popular social network on the internet. The platform's popularity spans all over the world, with India and the United States having the largest YouTube audiences. As of April 2024, the audience of YouTube in India was around 476 million, while the United States recorded a YouTube audience of around 238 million users.

    YouTube’s digital revenues One of YouTube's leading monetization methods include advertising, with the company generating around 8.09 billion U.S. dollars in the first quarter of 2024. Additionally, the platform generated over 28 million dollars in the United States through in-app purchases, as well as over 19.2 million U.S. dollars in revenues from mobile app users in Japan.

  16. YouTube app user engagement in selected markets 2024

    • statista.com
    Updated Feb 17, 2025
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    Statista (2025). YouTube app user engagement in selected markets 2024 [Dataset]. https://www.statista.com/statistics/1287283/time-spent-youtube-app-selected-countries/
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    Dataset updated
    Feb 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2024
    Area covered
    Worldwide, YouTube
    Description

    As of November 2024, users worldwide spent more than 27 hours using the YouTube mobile app per month. Users in South Korea spent an average of approximately 43 hours and 26 minutes engaging with video content on the YouTube app, while users in Switzerland spent less than 10 hours monthly on the app. In the United States, each user spent approximately 24.43 hours on the mobile app of the popular social video platform in 2024.

  17. Most popular free services used to watch online videos in the U.S. 2024, by...

    • statista.com
    Updated Jul 2, 2024
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    Most popular free services used to watch online videos in the U.S. 2024, by age group [Dataset]. https://www.statista.com/statistics/1314053/us-free-services-to-watch-online-videos-by-age/
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    Dataset updated
    Jul 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 22, 2024 - Mar 29, 2024
    Area covered
    United States
    Description

    According to a survey conducted in March 2024 among users in the United States, YouTube was the most popular free service for watching online video content. Viewers aged between 35 and 54 years had the highest YouTube video consumption rate, as 78 percent of them reported using it to watch online videos at least once a week. Facebook ranked second, with 52 percent of viewers aged between 35 and 54 years old reporting using the popular social media platform to watch online content. Instagram and TikTok, which host almost exclusively short-form videos, followed. Instagram was more popular among users aged between 18 and 34, while TikTok was also more popular among younger users.

  18. YouTube: most viewed channels 2025

    • statista.com
    Updated Jan 15, 2025
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    Statista (2025). YouTube: most viewed channels 2025 [Dataset]. https://www.statista.com/statistics/373729/most-viewed-youtube-channels/
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    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2025
    Area covered
    Worldwide, YouTube
    Description

    As of January 2025, the ranking of the most popular YouTube channels based on monthly views is dominated by music and children's content. Wiz Khalifa's Music channel was ranked first with a whopping six billion channel views, while Wow Kidz ranked second with over five billion video views in the last examined month. Indian music record channel T-Series -which ranked first continuously in 2021 and 2022, placed third with 2.72 billion video views. Most subscribed YouTube channels When looking at the most-subscribed YouTube channels: Indian music label T-Series was ranked first with 229 million channel subscribers. The video game commentator Felix Kjellberg, aka PewDiePie, ranked seventh, with roughly 111 million subscribers, after being surpassed by Jimmy Donaldson, aka MrBeast in November 2022. As of June 2022, PewDiePie was still the most subscribed gaming-content channel on YouTube, followed by Salvadorian YouTuber Fernanfloo with 45 million global subscribers. Creators' earnings MrBeast was the highest-earning YouTuber in 2021, with 54 million U.S. dollars. Ryan Kaji from Ryan's World was among the youngest content creators making the rankings of the highest-earning YouTubers in 2021, with an estimated revenue of 27 million U.S. dollars. Ryan’s channel was set up by his parents in March 2015, when the young content creator was three years old. MrBeast was also the leading content creator on YouTube based on Influence Media Value, while PewDiePie ranked third with an evaluation of around 3.91 million U.S. dollars.

  19. Non-professional YouTube videos: viewing frequency in the United Kingdom...

    • statista.com
    Updated Dec 31, 2015
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    Statista (2015). Non-professional YouTube videos: viewing frequency in the United Kingdom (UK) 2015 [Dataset]. https://www.statista.com/statistics/502041/viewing-frequency-of-non-professional-youtube-videos-uk/
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    Dataset updated
    Dec 31, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 23, 2015 - Sep 27, 2015
    Area covered
    United Kingdom
    Description

    This statistic shows the frequency of viewing YouTube videos uploaded by friends, family or other non-professional YouTube users in the United Kingdom (UK) in 2015. Nine percent of the respondents answered they watch non-professional YouTube videos every day.

  20. Leading science and technology YouTube channels in Poland 2024, by average...

    • statista.com
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    Statista, Leading science and technology YouTube channels in Poland 2024, by average view [Dataset]. https://www.statista.com/statistics/1247656/poland-most-viewed-youtube-technology-and-science-channels/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2024
    Area covered
    Poland
    Description

    According to the average number of YouTube video views as of March 2024, the most popular technology and science channel in Poland was PsychoLoszka with 172.7 thousand average uploaded video views.

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Countries with the most YouTube users 2025 [Dataset]. https://www.statista.com/statistics/280685/number-of-monthly-unique-youtube-users/
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Countries with the most YouTube users 2025

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66 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 17, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Feb 2025
Area covered
Worldwide, YouTube
Description

As of February 2025, India was the country with the largest YouTube audience by far, with approximately 491 million users engaging with the popular social video platform. The United States followed, with around 253 million YouTube viewers. Brazil came in third, with 144 million users watching content on YouTube. The United Kingdom saw around 54.8 million internet users engaging with the platform in the examined period. What country has the highest percentage of YouTube users? In July 2024, the United Arab Emirates was the country with the highest YouTube penetration worldwide, as around 94 percent of the country's digital population engaged with the service. In 2024, YouTube counted around 100 million paid subscribers for its YouTube Music and YouTube Premium services. YouTube mobile markets In 2024, YouTube was among the most popular social media platforms worldwide. In terms of revenues, the YouTube app generated approximately 28 million U.S. dollars in revenues in the United States in January 2024, as well as 19 million U.S. dollars in Japan.

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