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TwitterIn 2024, social video platforms and video content recorded around ** minutes of daily engagement on average among users in the United States. The amount of time spent watching social video among users in the country was projected to reach ** minutes per day in 2023, and about daily ** minutes by the end of 2028.
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Online Video Consumption Statistics: Video is now the top choice for content. With 93% of marketers using video in their overall marketing plans, the role of video in marketing has grown significantly in recent years. Social media companies have also boosted this trend by focusing on tools for creating video content.
If you need more clarification about investing in video marketing, this article gathers the latest trends from various studies. Video marketing gives marketers many ways to grow their business and promote their brands. This article will shed more light on "Online Video Consumption Statistics†.
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TwitterAccording to a survey, ********* of consumers worldwide spent *** to **** hours watching paid video streaming services in a typical week as of the second quarter of 2021. In comparison, ** percent of respondents used those services ** hours and more on a weekly basis.
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TwitterIn 2023, watching broadcaster TV accounted for the highest share of video viewing time in the United Kingdom, at over ** percent. YouTube was the second-most used video source, making up **** percent of the total time spent on videos.
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Twitter63 percent of UK respondents answer our survey on "Most used devices for digital videos" with "Smart TV". The survey was conducted in 2023, among 3,615 consumers.Find this and more survey data on most used devices for digital videos in our Consumer Insights tool. Filter by countless demographics, drill down to your own, hand-tailored target audience, and compare results across countries worldwide.
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TwitterVideo has become one of the most popular online formats, spanning from educational content to product reviews. As of the second quarter of 2025, music videos were the most watched video content type, followed by comedy or viral videos. Social video engagement 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 **** 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 October 2025, the TikTok hashtags “fyp” or “for you page” had reached ** and ** billion post views, respectively. Watching content: what device do users prefer? In 2024, televisions were the most used devices for global viewers to watch video-on-demand (VOD), with ** percent of respondents reporting using these devices. In comparison, ** 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 on any other devices. By comparison, connected TVs were particularly popular for the online video audience aged 35 and older.
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Video-sharing social media like YouTube provide access to diverse cultural products from all over the world, making it possible to test theories that the Web facilitates global cultural convergence. Drawing on a daily listing of YouTube’s most popular videos across 58 countries, we investigate the consumption of popular videos in countries that differ in cultural values, language, gross domestic product, and Internet penetration rate. Although online social media facilitate global access to cultural products, we find this technological capability does not result in universal cultural convergence. Instead, consumption of popular videos in culturally different countries appears to be constrained by cultural values. Cross-cultural convergence is more advanced in cosmopolitan countries with cultural values that favor individualism and power inequality.
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Online Video Platform Statistics: An Online Video Platform (OVP) is a crucial digital infrastructure for hosting, managing, and delivering video content online.
It facilitates content uploading, organization, and playback across various devices with adaptive streaming capabilities.
OVPs support monetization through advertising, subscriptions, or pay-per-view models alongside robust analytics for tracking viewer engagement and performance metrics.
They offer customization options for branding and player interfaces, ensuring a seamless user experience. Security features like encryption and DRM safeguard content, while integration with other platforms and APIs enables extended functionality and automation.
OVPs also cater to live streaming needs, making them versatile tools for media, entertainment, education, and corporate sectors seeking reliable video distribution solutions.
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According to Cognitive Market Research, the global short video-sharing platform market size is USD 1695.20 million in 2024 and will expand at a compound annual growth rate (CAGR) of 10.60% from 2024 to 2031.
North America held the major market, accounting for more than 40% of global revenue. With a market size of USD 678.08 million in 2024, it will grow at a compound annual growth rate (CAGR) of 8.8% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 508.56 million.
Asia Pacific held the market of around 23% of the global revenue with a market size of USD 389.90 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.6% from 2024 to 2031.
Latin America's market has more than 5% of the global revenue, with a market size of USD 84.76 million in 2024, and will grow at a compound annual growth rate (CAGR) of 10.0% from 2024 to 2031.
The Middle East and Africa held the major markets, accounting for around 2% of the global revenue. The market was USD 33.90 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.3% from 2024 to 2031.
The application sharing held the highest short video-sharing platform market revenue share in 2024.
Market Dynamics of Short Video Sharing Platform Market
Key Drivers of Short Video Sharing Platform Market
Accessibility to High-Speed Internet Drives Market Growth
Accessibility to high-speed internet plays a pivotal role in driving the growth of the short video-sharing platform market. With expanding broadband infrastructure and the proliferation of affordable data plans, more users worldwide can easily access these platforms. High-speed internet enables seamless streaming and sharing of short videos, enhancing user engagement and satisfaction. As a result, content creators and consumers can participate in the vibrant ecosystem of short-form video content. Moreover, high-speed internet access facilitates the creation and consumption of short videos across various devices, including smartphones, tablets, and computers. This accessibility fosters a diverse user base and encourages participation from individuals of all demographics. Consequently, short video-sharing platforms can reach broader audiences and capitalize on the global demand for engaging and entertaining content. In essence, the accessibility to high-speed internet acts as a catalyst for the expansion and evolution of the short video-sharing platform market, driving innovation and transforming digital media consumption patterns worldwide.
Rise of Influencer Culture Propels Market Growth
The rise of influencer culture has become an important driver in the expansion of the short video-sharing platform industry. As influencers build large followings across several social media platforms, a growing need for networks enabling quick and engaging content consumption is growing. Short video-sharing platforms offer influencers a great opportunity to demonstrate their creativity, experience, and personality in short formats that appeal to their audience's preferences. Moreover, as influencer marketing continues gaining traction as an effective advertising strategy, brands increasingly leverage short video-sharing platforms to collaborate with influencers and reach their target demographics. This symbiotic relationship between influencers and short video platforms drives user engagement and fosters a lucrative ecosystem where creators can monetize their content through brand partnerships and sponsorships. As a result, the rise of influencer culture serves as a significant catalyst for sustained growth and innovation within the short video-sharing platform market.
Restraint Factors Of Short Video Sharing Platform Market
Intense Competition among Platforms Restricts Market Growth
Strong competition among platforms is an important obstacle to the growth trajectory of the short video-sharing platform industry. Differentiation becomes increasingly difficult with an ever-expanding number of platforms competing for users' attention. Competition frequently results in a fragmented user base, making it difficult for platforms to build long-term revenue plans. As platforms compete for market supremacy, companies must constantly innovate and provide new features to attract and maintain customers, strengthe...
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Descriptive statistics of network structure by video category.
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TwitterDuring a 2025 survey among marketers worldwide, approximately ** percent reported plans to increase their use of YouTube for video marketing purposes in the near future. Similarly, ** percent said they would use Instagram more for that purpose. According to the same study, increased exposure and traffic were the leading benefits of social media marketing worldwide.
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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
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...
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Moreover it also reveals various engagement metrics such as the number of views the video has received, likes and dislikes it has garnered from viewership. Additionally information related to comment count on particular videos enables analysis regarding viewer interaction and response. Furthermore this dataset describes whether comments or ratings are disabled for a particular video allowing examination into how these factors impact engagement.
By exploring this dataset in-depth marketers can gain valuable insights into identifying trends in content popularity across different countries while taking into account timing considerations based on published day of week. It also opens up avenues for analyzing public sentiment towards specific videos based on likes vs dislikes ratios and comment count which further aids in devising suitable marketing strategies.
Overall,this informative dataset serves as an invaluable asset for researchers,data analysts,and marketers alike who strive to gain deeper understanding about trending video patterns,relevant metrics influencing content virality,factors dictating viewer sentiments,and exploring new possibilities within digital marketing space leveraging YouTube's wide reach
How to Use This Dataset: A Guide
In this guide, we will walk you through the different columns in the dataset and provide insights on how you can explore the popularity and engagement of these trending videos. Let's dive in!
Column Descriptions:
- title: The title of the video.
- channel_title: The title of the YouTube channel that published the video.
- publish_date: The date when the video was published on YouTube.
- time_frame: The duration of time (e.g., 1 day, 6 hours) that the video has been trending on YouTube.
- published_day_of_week: The day of week (e.g., Monday) when the video was published.
- publish_country: The country where the video was published.
- tags: The tags or keywords associated with the video.
- views: The number of views received by a particular video
- likes: Number o likes received per each videos
- dislike: Number dislikes receives per an individual vidoe 11.comment_count: number of comments
Popular Video Insights:
To gain insights into popular videos based on this dataset, you can focus your analysis using these columns:
title, channel_title, publish_date, time_frame, and** publish_country**.
By analyzing these attributes together with other engagement metrics such as views ,likes,**dislikes,**comments),comment_count you can identify trends in what type content is most popular both globally or within specific countries.
For instance: - You could analyze which channels are consistently publishing trending videos - Explore whether certain types of titles or tags are more likely to attract views and engagement. - Determine if certain days of the week or time frames have a higher likelihood of trending videos being published.
Engagement Insights:
To explore user engagement with the trending videos, you can focus your analysis on these columns:
likes, dislikes, comment_count
By analyzing these attributes you can get insights into how users are interacting with the content. For example: - You could compare the like and dislike ratios to identify positively received videos versus those that are more controversial. - Analyze comment counts to understand how users are engaging with the content and whether comments being disabled affects overall
- Analyzing the popularity and engagement of trending videos: By analyzing the number of views, likes, dislikes, and comments, we can understand which types of videos are popular among YouTube users. We can also examine factors such as comment count and ratings disabled to see how viewers engage with trending videos.
- Understanding video trends across different countries: By examining the publish country column, we can compare the popularity of trending videos in different countries. This can help content creators or marketers understand regional preferences and tailor their content strategy accordingly.
- Studying the impact of video attributes on engagement: By exploring the relationship between video attributes (such as title, tags, publish day) and engagement metrics (views, likes), we can identify patterns or trends that influence a video's success on YouTube. This information can be...
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TwitterAccording to a survey conducted in Fall 2024 among Generation Z video consumers in the United States, approximately 27 percent of the time they spent engaging with video format was spent on YouTube. This represents a small decrease compared to the corresponding period in 2023, when teens in the U.S. spent around 29.3 percent of their online video time on the popular social video platform.
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The booming Video Platform Service market is projected to reach [estimated market size] by 2033, driven by soaring video consumption and technological advancements. This in-depth analysis explores market trends, key players (YouTube, Vimeo, TikTok, etc.), and regional growth, offering valuable insights for businesses and investors.
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TwitterVEED presents a benchmark to estimate the energy and CO2 emissions of different Amazon EC2 instances during the encoding of 500 video segments with various complexities and resolutions using Advanced Video Coding (AVC) and High-Efficiency Video Coding (HEVC). VEED is available at https://github.com/cd-athena/VEED-dataset.
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Graph and download economic data for Personal consumption expenditures: Video and audio equipment, computers, and related services (chain-type price index) (DVPIRG3A086NBEA) from 1929 to 2024 about video, audio-visual, computers, chained, PCE, equipment, consumption expenditures, consumption, personal, services, GDP, price index, indexes, price, and USA.
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Graph and download economic data for Real personal consumption expenditures: Services related to video and audio goods and computers (chain-type quantity index) (DSVCRA3A086NBEA) from 1959 to 2024 about video, audio-visual, computers, quantity index, chained, PCE, consumption expenditures, consumption, personal, goods, services, real, GDP, and USA.
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TwitterIn 2023, digital video consumption surpassed TV viewing time for the second time in the United States. Additionally, the forecast shows that streaming video on connected TV, mobile devices, and computers will continue to increase, reaching a viewing time of over ***** hours and ** minutes in 2028. Meanwhile, traditional TV consumption is likely to further decline in the upcoming years.