In February 2024, YouTube counted approximately 100 million paid subscribers across its Music and Premium services. This represents an increase from the 50 million paying subscribers across the platform's services from September 2021. During the third quarter of 2023, YouTube generated almost eight billion U.S. dollars in advertising revenues.

YouTube was launched in 2005. It was founded by three PayPal employees: Chad Hurley, Steve Chen, and Jawed Karim, who ran the company from an office above a small restaurant in San Mateo. The first...

YouTube Video and Channel Analytics

YouTube Video and Channel Analytics: Statistics and Features

By VISHWANATH SESHAGIRI [source]

About this dataset

The YouTube Video and Channel Metadata dataset is a comprehensive collection of data related to YouTube videos and channels. It consists of various features and statistics that provide insights into the performance and engagement of videos, as well as the overall popularity and success of channels.

The dataset includes both direct features, such as total views, channel elapsed time, channel ID, video category ID, channel view count, likes per subscriber, dislikes per subscriber, comments per subscriber, and more. Additionally, there are indirect features derived from YouTube's API that provide additional metrics for analysis.

One important aspect covered in this dataset is the ratio between certain metrics. For example: - The totalviews/channelelapsedtime ratio represents the average number of views a video has received relative to the elapsed time since the channel was created. - The likes/dislikes ratio indicates the proportion of likes on a video compared to dislikes. - The views/subscribers ratio showcases how engaged subscribers are by measuring the number of views relative to the number of subscribers.

Other metrics explored in this dataset include comments/views ratio (representing viewer engagement), dislikes/views ratio (measuring viewer sentiment), comments/subscriber ratio (indicating community participation), likes/subscriber ratio (reflecting audience loyalty), dislikes/subscriber ratio (highlighting dissatisfaction levels), total number of subscribers for a channel (subscriberCount), total views on a channel (channelViewCount), total number of comments on a channel (channelCommentCount), among others.

By analyzing these features and statistics within this dataset, researchers or data analysts can gain valuable insights into various aspects related to YouTube videos and channels. Furthermore, it may be possible to build statistical relationships between videos based on their performance characteristics or even develop topic trees based on similarities between different content categories. This dataset serves as an excellent resource for studying YouTube's ecosystem comprehensively.

For accessing additional resources related to this dataset or exploring code repositories associated with it, users can refer to the provided GitHub repository

How to use the dataset

Introduction:

Step 1: Understanding the Dataset Start by familiarizing yourself with the columns in the dataset. Here are some key features to pay attention to:

• totalviews/channelelapsedtime: The ratio of total views of a video to the elapsed time of the channel.
• channelViewCount: The total number of views on the channel.
• likes/subscriber: The ratio of likes on a video to the number of subscribers of the channel.
• views/subscribers: The ratio of views on a video to the number of subscribers of the channel.
• subscriberCount: The total number of subscribers for a channel.
• dislikes/views: The ratio of dislikes on a video to its total views.
• comments/subscriber: The ratio comments on a video receive per subscriber count.

Step 2: Determining Data Analysis Objectives Define your objectives or research questions before diving into data analysis using this dataset. For example, you may want to explore relationships between viewership, engagement metrics, and various attributes such as category ID or elapsed time.

Step 3: Analyzing Relationships between Variables Use statistical techniques like correlation analysis or visualization tools like scatter plots, bar graphs, or heatmaps to understand relationships between variables in this dataset.

For example: - Plotting totalviews/channelelapsedtime against channelViewCount can help identify patterns between overall video popularity and channels' view count growth over time. - Comparing likes/dislikes with comments/views can give insights into viewer engagement levels across different videos.

Step 4: Building Machine Learning Models (Optional) If your objective includes predictive analysis or building machine learning models, select relevant features as predictors and the target variable (e.g., totalviews/channelelapsedtime) for training and evaluation.

You can use various algorithms such as linear regression, decision trees, or neural networks to predict video performance or channel growth based on available attributes.

Step 5: Evaluating Model Performance Assess the predictive model's performance using appropriate evaluation metrics like mean square...

Key YouTube Statistics (Editor’s Choice) YouTube recorded 70 billion monthly active users in March 2023, which includes 55.10% of worldwide active social media users. There have been more than 14 million daily active users currently on YouTube, in the United States of America this platform is accessed by 62% of users. YouTube is touted as the second largest search engine and the second most visited website after Google. Revenue earned by YouTube in the first two quarters of 2023 is around $14.358 billion. In 2023, YouTube Premium and YouTube Music have recorded 80 million subscribers collectively worldwide. YouTube consumers view more than a billion hours of video per day. YouTube has more than 38 million active channels. In the fourth quarter of 2021, YouTube ad revenue has been $8.6 billion. Around 3 million paid subscribers to access YouTube TV. YouTube Premium has around 1 billion paid users. In 2023, YouTube was banned in countries such as China excluding Macau and Hong Kong, Eritrea, Iran, North Korea, Turkmenistan, and South Sudan. With 166 million downloads, the YouTube app has become the second most downloaded entertainment application across the world after Netflix. With 91 million downloads, YouTube Kids has become the sixth most downloaded entertainment app in the world. Nearly 90% of digital consumers access YouTube in the US, making it the most popular social network for watching video content. Over 70% of YouTube viewership takes place on its mobile application. More than 70% of YouTube video content watched by people is suggested by its algorithm. The average duration of a video on YouTube is 12 minutes. An average YouTube user spends 20 minutes and 23 seconds on the platform daily. Around 28% of YouTube videos that are published by popular channels are in the English language. 77% of YouTube users watch comedy content on the platform. With 247 million subscribers, T-Series has become the most subscribed channel on YouTube. Around 50 million users log on to YouTube every day. YouTube's biggest concurrent views record has been at 2.3 billion from when SpaceX has gone live on the platform to unveil Falcon Heavy Rocket. The majority of YouTube users are in the age group of 15 to 35 years in the US. The male-female ratio of YouTube users is 11:9. Apple INC. has been touted as the biggest advertiser on YouTube in 2020 spending $237.15 million. YouTube produced total revenue of $19.7 billion in 2020. As of 2021, the majority of YouTube users (467 million) are from India. It is the most popular platform in the United States with 74 percent of adult users. YouTube contributes to nearly 25% of mobile traffic worldwide. Daily live streaming on YouTube has increased by 45% in total in 2020. In India, around 225 million people are active on the platform each hour as per the 2021 statistics. YouTube Usage and Viewership Statistics #1. YouTube accounts for more than 2 billion monthly active users Around 2.7 billion users log on to YouTube each month. The number of monthly active users of YouTube is expected to grow even further. #2. Around 14.3 billion people visit the platform every month The number of YouTube visitors is far higher compared to Facebook, Amazon, and Instagram. #3. YouTube is accessible across 100 countries in 80 languages. The platform is widely available across different communities and nations. #4. 53.9% of YouTube users are men and 46.1% of women use the platform As of 2023 statistics, 53.9% of men use the platform and 46.1% of women over 18 years are on YouTube. The share in the number of males and females is 1.38 billion and 1.18 billion respectively. Age Group Male Female 18 to 24 8.5% 6% 25 to 34 11.6% 8.6% 35 to 44 9% 7.5% 45 to 54 6.2% 5.7% 55 to 64 4.4% 4.5% Above 65 4.3% 5.4% #5. 99% of YouTube users are active on other social media networks as well. Fewer than 1% of YouTube users are solely dependent on the platform. #6. Users spend around 20 minutes and 23 seconds per day on YouTube on average It is quite a generous amount of time spent on any social network platform. #7. YouTube is the second most visited site worldwide With more than 14 billion visits per month, YouTube has become the second most visited site in the world. However, its parent company Google is the most visited site across the globe. As per the statistics, YouTube is the third most popular searched word on Google. #8. 694000 hours of video content are streamed on YouTube per minute YouTube has outweighed Netflix as well in terms of streaming video content. #9. Over 81% of total internet users have accessed YouTube #10. Nearly 450 million hours of video content are uploaded on YouTube each hour More than 5 billion videos are watched on YouTube per day. #11. India has the maximum numb

In 2020, the popular social video platform YouTube counted roughly 20 million paying users subscribing to its premium services in the United States. By the end of 2024, this number is forecasted to increase by almost eight million users, reaching 27.9 million paying subscribers in the U.S. YouTube premium plans allow users to have an ads-free experience, as well as video and music downloads.

What is the most subscribed YouTube channel? MrBeast made the first place in the ranking of the most-subscribed YouTube channels in January 2025. With 343 million subscribers, the U.S. based videographer and internet personality managed to surpass Indian music network T-Series, which held the number one place for several years, and sat at 284 million subscriber as of the examined period. How many hours of video are uploaded to YouTube every minute? YouTube was launched in 2005 as a platform for sharing user-generated videos such as vlogs, tutorials, or original series. The site grew rapidly and reportedly had 100 million video views per day and more than 65 thousand daily uploads only a year later. As of February 2022, more than 500 hours of video were uploaded to YouTube every minute, up from a mere 24 hours of content uploads per minute in 2010. YouTube Partner Program In the first quarter of 2024, YouTube’s ad revenue amounted to over eight billion U.S. dollars. Through its Partner Program, YouTube also rewards uploaders of popular videos with a share of the advertising revenues the content generates. This, paired with the fact that many users of the video sharing platform tend to have favorite channels that they revisit regularly, has given rise to another phenomenon: YouTube celebrities. Although some of these well-known figures were discovered on the website but then carved a successful career outside of YouTube, for many others the site is their primary platform for delivering content and staying in contact with fans, all while signing lucrative deals or promotional partnerships. Highest earning YouTubers In November 2022, MrBeast surpassed long-standing most subscribed YouTuber PewDiePie, having reached approximately 112 million subscribers. Due to the high number of subscribers and even higher number of views, these out-of-the-box stars not only have millions of fans, but also considerable earnings from their YouTube activities. In 2023, MrBeast was estimated to have earned around 82 million U.S. dollars, topping the ranking of the highest-earning YouTube creators. The ranking also included social media personality Jake Paul and Mark Fischbach, as well as Ryan Kaji from Ryan's World (formerly known as ToysReview), who started his YouTube career reviewing toys at three years old.

The dataset provides a comprehensive overview of leading YouTube channels, capturing key metrics such as subscriber counts, video views, and estimated annual earnings. It includes information on the channel's category, number of uploads, and geographical data like country and urban population. Additionally, socio-economic indicators such as gross tertiary education enrollment, unemployment rate, and development status of the channel's country are included. For instance, T-Series, the top-ranked channel, has 245 million subscribers and 228 billion video views, generating significant annual earnings. This dataset is invaluable for analyzing the dynamics of content creation on YouTube and understanding how geographical and economic factors influence channel success.

This comprehensive YouTube Video Analytics Dataset provides valuable insights into the performance of a wide range of videos on the popular platform. Spanning various genres, the dataset encompasses essential information such as - 1.Genre 2.video titles, 3.publish times, 4.view counts, 5.watch time (in hours), 6.subscriber counts, 7.average view durations, 8.impressions, and 9.impressions click-through rates (%).

By leveraging this dataset, researchers, analysts, and data enthusiasts can delve into the factors that influence video success on YouTube. Analyze the correlation between genre and view counts, investigate the impact of subscriber counts on watch time, or explore how average view durations and click-through rates affect video impressions.

Whether you're interested in exploring video trends, identifying patterns in user behavior, or developing machine learning models, this dataset serves as a valuable resource. Gain actionable insights into YouTube video performance and contribute to the ever-growing field of online content analysis. LICENCE NOTE - This is the dataset of my own channel.

Comprehensive YouTube subscriber data for content creators

T-Series was the most subscribed YouTube channel as at *********, with *** million subscribers. The company has consistently recorded growth in number of subscribers as well as the number of YouTube video views since it joined the social media platform.

Introduction

YouTube Users statistics: YouTube has over 2.70 billion monthly active users. It indicates that more than one-third of the world’s population and around 47% of the online global population. With a 54% of male user base, India ranks at #1 in terms of YouTube users with 491 million active users, followed by the United States with 253 million and Brazil with 144 million users.

YouTube.com becomes the second most visited website with around 77.52 billion visits on its website. With features like YouTube shorts and YouTube music, YouTube gained a massive popularity even in the smallest cities of most countries. With more than 8 million subscribers, YouTube TV extends its reach among Gen Z and millennials. With a great vision to turn YouTube’s next frontier into the living room, YouTube’s chief executive officer, Neal Mohan, is giving his best to deliver a world-class subscription experience.

Motivation

Study how YouTube videos become viral or, more in general, how they evolve in terms of views, likes and subscriptions is a topic of interest in many disciplines. With this dataset you can study such phenomena, with statistics about 1 million YouTube videos. The information was collected in 2013 when YouTube was exposing the data publicly: they removed this functionality in the years and now it's possible to have such statistics only to the owner of the video. This makes this dataset unique.

Context

This Dataset has been generated with YOUStatAnalyzer, a tool developed by myself (Mattia Zeni) when I was working for CREATE-NET (www.create-net.org) within the framework of the CONGAS FP7 project (http://www.congas-project.eu). For the project we needed to collect and analyse the dynamics of YouTube videos popularity. The dataset contains statistics of more than 1 million Youtube videos, chosen accordingly to random keywords extracted from the WordNet library (http://wordnet.princeton.edu).

The motivation that led us to the development of the YOUStatAnalyser data collection tool and the creation of this dataset is that there's an active research community working on the interplay among user individual preferences, social dynamics, advertising mechanisms and a common problem is the lack of open large-scale datasets. At the same time, no tool was present at that time. Today, YouTube removed the possibility to visualize these data on each video's page, making this dataset unique.

When using our dataset for research purposes, please cite it as:

@INPROCEEDINGS{YOUStatAnalyzer, author={Mattia Zeni and Daniele Miorandi and Francesco {De Pellegrini}}, title = {{YOUStatAnalyzer}: a Tool for Analysing the Dynamics of {YouTube} Content Popularity}, booktitle = {Proc. 7th International Conference on Performance Evaluation Methodologies and Tools (Valuetools, Torino, Italy, December 2013)}, address = {Torino, Italy}, year = {2013} }

Content

The dataset contains statistics and metadata of 1 million YouTube videos, collected in 2013. The videos have been chosen accordingly to random keywords extracted from the WordNet library (http://wordnet.princeton.edu).

Dataset structure

The structure of a dataset is the following: { u'_id': u'9eToPjUnwmU', u'title': u'Traitor Compilation # 1 (Trouble ...', u'description': u'A traitor compilation by one are ...', u'category': u'Games', u'commentsNumber': u'6', u'publishedDate': u'2012-10-09T23:42:12.000Z', u'author': u'ServilityGaming', u'duration': u'208', u'type': u'video/3gpp', u'relatedVideos': [u'acjHy7oPmls', u'EhW2LbCjm7c', u'UUKigFAQLMA', ...], u'accessControl': { u'comment': {u'permission': u'allowed'}, u'list': {u'permission': u'allowed'}, u'videoRespond': {u'permission': u'moderated'}, u'rate': {u'permission': u'allowed'}, u'syndicate': {u'permission': u'allowed'}, u'embed': {u'permission': u'allowed'}, u'commentVote': {u'permission': u'allowed'}, u'autoPlay': {u'permission': u'allowed'} }, u'views': { u'cumulative': { u'data': [15.0, 25.0, 26.0, 26.0, ...] }, u'daily': { u'data': [15.0, 10.0, 1.0, 0.0, ..] } }, u'shares': { u'cumulative': { u'data': [0.0, 0.0, 0.0, 0.0, ...] }, u'daily': { u'data': [0.0, 0.0, 0.0, 0.0, ...] } }, u'watchtime': { u'cumulative': { u'data': [22.5666666667, 36.5166666667, 36.7, 36.7, ...] }, u'daily': { u'data': [22.5666666667, 13.95, 0.166666666667, 0.0, ...] } }, u'subscribers': { u'cumulative': { u'data': [0.0, 0.0, 0.0, 0.0, ...] }, u'daily': { u'data': [-1.0, 0.0, 0.0, 0.0, ...] } }, u'day': { u'data': [1349740800000.0, 1349827200000.0, 1349913600000.0, 1350000000000.0, ...] } }

From the structure above is possible to see which fields an entry in the dataset has. It is possible to divide them into 2 sections:

1) Video Information.

_id -> Corresponding to the video ID and to the unique identifier of an entry in the database. title -> Te video's title. description -> The video's description. category -> The YouTube category the video is inserted in. commentsNumber -> The number of comments posted by users. publishedDate -> The date the video has been published. author -> The author of the video. duration -> The video duration in seconds. type -> The encoding type of the video. relatedVideos -> A list of related videos. accessControl -> A list of access policies for different aspects related to the video.

2) Video Statistics.

Each video can have 4 different statistics variables: views, shares, subscribers and watchtime. Recent videos have all of them while older video can have only the 'views' variable. Each variable has 2 dimensions, daily and cumulative.

`views -> number of views collected by the vi...

Introduction

YouTube Statistics: YouTube dominates the digital landscape with 2.70 billion monthly active users among the world population in mid-2025, making it the second-largest search engine after Google and the second social platform, following Facebook, across the world.

People watch more than 1 billion hours of video on YouTube, that’s a million years of attention span. With over 20 million new videos uploaded to the platform every day, the YouTube content ecosystem is practically endless. Short-form video lovers have not been ignored.

With an astonishing 70 billion views a day on YouTube shorts, these viewers are generating a new level of interactions and engagement across the platform. Of course, mobile dominates; 63% of watch time happens on mobile devices. With over 100 million subscribers to YouTube Premium and YouTube Music, in addition to free, YouTube is indeed a premium entertainment platform.

YouTube Videos and Channels Metadata

Analyze the statistical relation between videos and form a topic tree

By VISHWANATH SESHAGIRI [source]

About this dataset

This dataset contains YouTube video and channel metadata to analyze the statistical relation between videos and form a topic tree. With 9 direct features, 13 more indirect features, it has all that you need to build a deep understanding of how videos are related – including information like total views per unit time, channel views, likes/subscribers ratio, comments/views ratio, dislikes/subscribers ratio etc. This data provides us with a unique opportunity to gain insights on topics such as subscriber count trends over time or calculating the impact of trends on subscriber engagement. We can develop powerful models that show us how different types of content drive viewership and identify the most popular styles or topics within YouTube's vast catalogue. Additionally this data offers an intriguing look into consumer behaviour as we can explore what drives people to watch specific videos at certain times or appreciate certain channels more than others - by analyzing things like likes per subscribers and dislikes per views ratios for example! Finally this dataset is completely open source with an easy-to-understand Github repo making it an invaluable resource for anyone looking to gain better insights into how their audience interacts with their content and how they might improve it in the future

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How to use the dataset

How to Use This Dataset

In general, it is important to understand each parameter in the data set before proceeding with analysis. The parameters included are totalviews/channelelapsedtime, channelViewCount, likes/subscriber, views/subscribers, subscriberCounts, dislikes/views comments/subscriberchannelCommentCounts,, likes/dislikes comments/views dislikes/ subscribers totviewes /totsubsvews /elapsedtime.

To use this dataset for your own analysis:1) Review each parameter’s meaning and purpose in our dataset; 2) Get familiar with basic descriptive statistics such as mean median mode range; 3) Create visualizations or tables based on subsets of our data; 4) Understand correlations between different sets of variables or parameters; 5) Generate meaningful conclusions about specific channels or topics based on organized graph hierarchies or tables.; 6) Analyze trends over time for individual parameters as well as an aggregate reaction from all users when videos are released

Research Ideas

• Predicting the Relative Popularity of Videos: This dataset can be used to build a statistical model that can predict the relative popularity of videos based on various factors such as total views, channel viewers, likes/dislikes ratio, and comments/views ratio. This model could then be used to make recommendations and predict which videos are likely to become popular or go viral.

• Creating Topic Trees: The dataset can also be used to create topic trees or taxonomies by analyzing the content of videos and looking at what topics they cover. For example, one could analyze the most popular YouTube channels in a specific subject area, group together those that discuss similar topics, and then build an organized tree structure around those topics in order to better understand viewer interests in that area.

• Viewer Engagement Analysis: This dataset could also be used for viewer engagement analysis purposes by analyzing factors such as subscriber count, average time spent watching a video per user (elapsed time), comments made per view etc., so as to gain insights into how engaged viewers are with specific content or channels on YouTube. From this information it would be possible to optimize content strategy accordingly in order improve overall engagement rates across various types of video content and channel types

Acknowledgements

If you use this dataset in your research, please credit the original authors.

Data Source

License

Unknown License - Please check the dataset description for more information.

Columns

File: YouTubeDataset_withChannelElapsed.csv | Column name | Description | |:----------------------------------|:-------------------------------------------------------| | totalviews/channelelapsedtime | Ratio of total views to channel elapsed time. (Ratio) | | channelViewCount | Total number of views for the channel. (Integer) | | likes/subscriber ...

In 2020, YouTube influencers with fewer than ****** followers made up ***** percent of YouTube influencer accounts worldwide. The second and third largest groups were those with 100,000 to ******* followers and those with ****** to ****** followers, accounting respectively for ***** percent and ***** percent.

As of June 2023, there were ***** YouTube influencers in Malaysia with a follower count between 10,000 and 50,000. By comparison, there were *** influencers with a follower count of over one million.

Introduction

Streaming Statistics:Â Streaming has revolutionized how people consume entertainment, replacing traditional television with on-demand access to music, video, news, and gaming content. As of 2025, there are approximately 1.8 billion video streaming subscriptions worldwide, reflecting a significant increase from 1.1 billion in 2020. In the United States, 83% of households subscribe to at least one streaming service, up from 52% in 2015.

Leading platforms like Netflix, Amazon Prime Video, and Disney+ have amassed substantial subscriber bases. Netflix leads with over 282 million global subscribers, followed by Amazon Prime Video with an estimated 230 million, and Disney+ with approximately 153.8 million.

The rise of streaming has also empowered content creators. Since 2020, over 165 million individuals have joined the creator economy through social media platforms. Notably, YouTube hosts over 64 million content creators globally.

This shift underscores the growing importance of streaming in both consumer entertainment and content creation, highlighting its role in shaping modern media consumption and production.

Currently, YouTube and Netflix are the most widely used streaming services, providing hours of entertainment from the comfort of home. The following streaming statistics for 2024 and 2025 will offer insights into market trends.

As of June 2023, more than ************* YouTube content creators in the UAE had between ** to ** thousand followers. Meanwhile, influencers with more than *********** followers reached *** people.

Few individuals better represent the rise of the YouTube celebrity than Felix Arvid Ulf Kjellberg, operating on YouTube as PewDiePie. The Swedish YouTuber was the content creator with the largest audience on YouTube for several years, until he was surpassed by American YouTuber MrBeast. As of January 2025, the popular creator had around *** million subscribers. In total, videos on the PewDiePie channel have been viewed approximately ** billion times. Subscribe to PewDiePie meme The surge in subscriber numbers from the end of 2018 onwards is attributable to PewDiePie’s “Subscribe to PewDiePie Meme“, a demonstration of his immense ability to mobilize his subscribers. In the campaign to overtake T-Series and become the channel with the most subscribers, PewDiePie’s challenge required followers to plaster words to the effect of ‘Subscribe to PewDiePie’ wherever possible, either in the physical or digital realms. Despite the obvious success of the campaign in terms of subscriptions, PewDiePie recently called for the campaign to be stopped following three major incidents. In the first a World War II memorial was defaced in New York City, and in March 2019 a gunman uttered the phrase before opening fire on a mosque in Christchurch, New Zealand, killing ** people and wounding several more. In April 2019, the gunman who opened fire on a Southern California synagogue, killing one and wounding at least three others, also referred to the campaign.   The rise of the YouTuber 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 . It isn’t just traditional celebrities that are finding audiences either, with channels for kids such as Cocomelon - Nursery Rhymes attracting over *** billion views, and generating significant revenue in the process.

Jimmy Donaldson - operating on YouTube as MrBeast, saw approximately ************* new subscribers on his popular YouTube channel in December 2024. In November 2022, MrBeast overtook PewDiePie as the most subscribed YouTuber on the platform. PewDiPie counted approximately *** million subscribers on YouTube as of June 2024. Most engaging YouTube channels and content As of January 2025, MrBeast counted the largest number of subscribers on YouTube, with an audience of around *** million viewers. However, other famous YouTube channels were not far behind on the subscribers’ leaderboard. T-series and Cocomelon - Nursery Rhymes followed with *** and *** million subscribers, respectively, during the same examined period. When it comes to the most viewed YouTube channels of all time, T-series had the highest viewership, with over *** billion views as of January 2025. Cocomelon and SET India followed with around *** and *** billion lifetime views, respectively. With a viewership of billions of users, content for children and music were the most popular types of videos on YouTube. As of January 2024, Baby Shark Dance was the most watched YouTube video of all time, with around ** billion views. Puerto Rican song Despacito and children’s rhyme Johny Johny Yes Papa followed, with **** and ***** billion lifetime views, respectively. Who uses YouTube? The number of YouTube global users has been continuously growing over the years. Between 2020 and 2029, the number is expected to increase from *** million to **** billion users. As of July 2024, more than 54 percent of the YouTube audience comprised of men, while women held 45.7 percent of YouTube’s audience share. Over ** percent of the YouTube global audience were men between the age of 25 and 34 years during the same examined period. The region with the largest number of YouTube users was India, with an audience of approximately *** million video viewers. The United States and Brazil followed, with around *** and *** million users accessing the popular video platform, respectively. As of July 2024, YouTube exhibited the highest penetration rate in the United Arab Emirates, where more than ** percent of the total digital population used the platform. Israel and United Kingdom followed with YouTube penetration rates of **** and ****, respectively.