Use our YouTube profiles dataset to extract both business and non-business information from public channels and filter by channel name, views, creation date, or subscribers. Datapoints include URL, handle, banner image, profile image, name, subscribers, description, video count, create date, views, details, and more. You may purchase the entire dataset or a customized subset, depending on your needs. Popular use cases for this dataset include sentiment analysis, brand monitoring, influencer marketing, and more.

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...

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.

Use our YouTube Videos dataset to extract detailed information from public videos and filter by video title, views, upload date, or likes. Data points include video URL, title, description, thumbnail, upload date, view count, like count, comment count, tags, and more. You can purchase the entire dataset or a customized subset, tailored to your needs. Popular use cases for this dataset include trend analysis, content performance tracking, brand monitoring, and influencer campaign optimization.

The number of Youtube users in India was forecast to continuously increase between 2024 and 2029 by in total 222.2 million users (+34.88 percent). After the ninth consecutive increasing year, the Youtube user base is estimated to reach 859.26 million 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 Sri Lanka and Nepal.

Extensive Creator Coverage: Our dataset includes a diverse range of YouTube content creators, spanning various genres, subscriber counts, and regions. Access information on creators from a wide spectrum of content categories.

Creator Profiles: Explore detailed creator profiles, including biographies, subscriber counts, video counts, and contact information.

Customizable Data Delivery: The dataset is available in flexible formats, such as CSV, JSON, or API integration, allowing seamless integration with your existing data infrastructure. Customize the data to meet your specific research and analysis needs.

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.

Our dataset offers a unique blend of attributes from YouTube and Google Maps, empowering users with comprehensive insights into online content and geographical reach. Let's delve into what makes our data stand out:

Unique Attributes: - From YouTube: Detailed video information including title, description, upload date, video ID, and channel URL. Video metrics such as views, likes, comments, and duration are also provided. - Creator Info: Access author details like name and channel URL. - Channel Information: Gain insights into channel title, description, location, join date, and visual branding elements like logo and banner URLs. - Channel Metrics: Understand a channel's performance with metrics like total views, subscribers, and video count. - Google Maps Integration: Explore business ratings from Google My Business and location data from Google Maps.

Data Sourcing: - Our data is meticulously sourced from publicly available information on YouTube and Google Maps, ensuring accuracy and reliability.

Primary Use-Cases: - Marketing: Analyze video performance metrics to optimize content strategies. - Research: Explore trends in creator behavior and audience engagement. - Location-Based Insights: Utilize Google Maps data for market research, competitor analysis, and location-based targeting.

Fit within Broader Offering: - This dataset complements our broader data offering by providing rich insights into online content consumption and geographical presence. It enhances decision-making processes across various industries, including marketing, advertising, research, and business intelligence.

Usage Examples: - Marketers can identify popular video topics and optimize advertising campaigns accordingly. - Researchers can analyze audience engagement patterns to understand viewer preferences. - Businesses can assess their Google My Business ratings and geographical distribution for strategic planning.

With scalable solutions and high-quality data, our dataset offers unparalleled depth for extracting actionable insights and driving informed decisions in the digital landscape.

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.

Have you ever wanted to create your own maps, or integrate and visualize spatial datasets to examine changes in trends between locations and over time? Follow along with these training tutorials on QGIS, an open source geographic information system (GIS) and learn key concepts, procedures and skills for performing common GIS tasks – such as creating maps, as well as joining, overlaying and visualizing spatial datasets. These tutorials are geared towards new GIS users. We’ll start with foundational concepts, and build towards more advanced topics throughout – demonstrating how with a few relatively easy steps you can get quite a lot out of GIS. You can then extend these skills to datasets of thematic relevance to you in addressing tasks faced in your day-to-day work.

The Nara Association of Medical Technologists has introduced online Off-Job Training (Off-JT) starting from FY2020 in response to the COVID-19 pandemic. This study aims to evaluate the online Off-JT, which differs from the traditional face-to-face format. Firstly, we compared the online format's ability to attract participants with the face-to-face format based on the number of training sessions and attendees. Despite having fewer training sessions (40.8% less), the online format had an average attendance of 105.4% higher (39.7 vs. 19.3) than the face-to-face format. To enhance participant convenience, we offered a limited number of live and video-on-demand (VOD) sessions on YouTube, evaluating their usefulness through an online survey focusing on work-life balance (WLB). The survey results showed that 81.9% (458/559) of respondents reported an improvement in WLB. The effect on WLB improvement varied depending on the viewing method, with VOD sessions showing 84.1% (376/447) and live sessions showing 73.2% (82/112). We believe that the increased ability to attract participants in the online Off-JT is mainly due to the elimination of travel burdens through internet-connected devices. The combination of live and VOD sessions on YouTube allowed participants to adjust their viewing time, leading to better allocation of free time and improved WLB. The online Off-JT and VOD delivery have shown to enhance convenience for participants by removing geographical and time constraints, resulting in positive effects.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Bilibili Battle: Will the Chinese YouTube Knockoff Conquer America? (BILI)

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

The Kurdish language is regarded as one of the less-resourced languages. The language is globally practised by 30-40 people. The language has 33 letters that are largely similar to the Arabic language. The Kurdish language has two major dialects Sorani and Badini. The dataset includes a collection of texts written in the Sorani dialect. It contains both tweets and comments from giant social media platforms such as Twitter, Facebook and YouTube. Due to security reasons and following the policies of both Twitter, Facebook and YouTube, we removed the user's identity. We collected the tweets and comments which was published during the time of the Corona Virus pandemic. The tweets and comments are raw texts, and the content covers a varied range of topics, starting from politics, sports, entertainment, social life, etc. Data Labeling The Facepager was employed to crawl the comments from both Facebook and YouTube. Moreover, we used the Twitter developer to mine the tweets. The dataset was annotated manually by three Kurdish native speakers. The annotators were required to identify the classes and categories of each text. The classes included positive, negative and neutral and the categories consisted of news, technology, art, social and health. The texts which were agreed upon by at least two annotators to possess a specific label and category were regarded as conflict-free and accepted for further processing. Other texts that caused conflict among all three raters were ignored and have been removed from the dataset. The doccano program was used to help the annotators label each text one by one.

Snapshot img

Visual Content Market Size 2025-2029

The visual content market size is forecast to increase by USD 1.24 billion at a CAGR of 5.1% between 2024 and 2029.

The market, encompassing digital stock images and software-generated graphics, continues to experience significant growth In the US. Key drivers include the increasing demand for digital content in various sectors such as real estate, education, and digital marketing. A catalyst for this growth is the rising preference for visuals like 360-degree images and videos. However, the market faces challenges, including limited online video consumption due to slow internet speeds. As digital marketing becomes more prevalent, the need for high-quality, visually engaging content is increasingly important. This trend is expected to continue, with advancements in technology further enhancing the potential of visual content to captivate audiences and drive engagement.

What will be the Size of the Visual Content Market During the Forecast Period?

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The market continues to expand as businesses recognize the power of engaging, shareable content to capture audience attention and drive performance. The human brain processes visual information 60,000 times faster than text, making infographics, videos, photos, and interactive visuals effective tools for conveying complex information and boosting brand awareness. For example, a brand may include a CTA in an infographic, inviting users to sign up for a newsletter or download an e-book. Visual content drives ROI through increased traffic, backlinks, and calls to action. 



Platforms and others provide businesses with a range of image-based and interactive content solutions. As the market evolves, expect to see a continued focus on creating high-quality, shareable visuals that resonate with audiences and deliver measurable results. Visual capitalists are leveraging a variety of formats, including pictures, diagrams, charts, online videos, slide decks, native video, and ultimate guides, to present complex data and insights in an engaging and accessible way.

How is this Visual Content Industry segmented and which is the largest segment?

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

Product

  Stock images
  Stock video


Application

  Editorial
  Commercial


License Model

  RF
  RM


End-user

  Media and entertainment
  Advertising
  Corporate
  Others


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Italy


  APAC

    China
    India
    Japan


  Middle East and Africa



  South America

By Product Insights

The stock images segment is estimated to witness significant growth during the forecast period.

The market experienced significant growth in 2024, with stock images leading the segment. The proliferation of digital photography, driven by the easy accessibility and affordability of digital single-lens reflex (DSLR) cameras, has contributed to market expansion. Notably, there has been an increasing trend of collaborations among companies, enabling them to broaden their offerings, reach larger audiences, and enhance customer value. The market exhibits minimal price differentiation based on picture resolution due to the transition to mobile and online platforms. The demand for responsive web design has fueled the need for high-quality, small images, leading to advancements in image resolution technology. Visual content encompasses various formats, including infographics, videos, YouTube, Hubspot, and social media, among others.

Get a glance at the Visual Content Industry report of share of various segments Request Free Sample

The stock images segment was valued at USD 3.38 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 38% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions, Request Free Sample

The North American market holds the largest share In the global visual content industry. The US is the primary contributor to this market's growth due to the increasing demand for video content among commercial consumers. Factors such as enhanced broadband penetration and faster internet speeds facilitate smoother video consumption. Furthermore, the proliferation of social media platforms like Facebook and Instagram In the US fuels market expansion. Visual content encompasses various formats, including infographics, videos, YouTube, Hubspot, and interactive visuals. These ele

Description

This dataset presents a comprehensive compilation of the most streamed songs on Spotify in 2024. It provides extensive insights into each track's attributes, popularity, and presence on various music platforms, offering a valuable resource for music analysts, enthusiasts, and industry professionals. The dataset includes information such as track name, artist, release date, ISRC, streaming statistics, and presence on platforms like YouTube, TikTok, and more.

Here is the link for the 2023 data: "https://www.kaggle.com/datasets/nelgiriyewithana/top-spotify-songs-2023">Most Streamed Spotify Songs 2023 🟢

Key Features

• Track Name: Name of the song.
• Album Name: Name of the album the song belongs to.
• Artist: Name of the artist(s) of the song.
• Release Date: Date when the song was released.
• ISRC: International Standard Recording Code for the song.
• All Time Rank: Ranking of the song based on its all-time popularity.
• Track Score: Score assigned to the track based on various factors.
• Spotify Streams: Total number of streams on Spotify.
• Spotify Playlist Count: Number of Spotify playlists the song is included in.
• Spotify Playlist Reach: Reach of the song across Spotify playlists.
• Spotify Popularity: Popularity score of the song on Spotify.
• YouTube Views: Total views of the song's official video on YouTube.
• YouTube Likes: Total likes on the song's official video on YouTube.
• TikTok Posts: Number of TikTok posts featuring the song.
• TikTok Likes: Total likes on TikTok posts featuring the song.
• TikTok Views: Total views on TikTok posts featuring the song.
• YouTube Playlist Reach: Reach of the song across YouTube playlists.
• Apple Music Playlist Count: Number of Apple Music playlists the song is included in.
• AirPlay Spins: Number of times the song has been played on radio stations.
• SiriusXM Spins: Number of times the song has been played on SiriusXM.
• Deezer Playlist Count: Number of Deezer playlists the song is included in.
• Deezer Playlist Reach: Reach of the song across Deezer playlists.
• Amazon Playlist Count: Number of Amazon Music playlists the song is included in.
• Pandora Streams: Total number of streams on Pandora.
• Pandora Track Stations: Number of Pandora stations featuring the song.
• Soundcloud Streams: Total number of streams on Soundcloud.
• Shazam Counts: Total number of times the song has been Shazamed.
• TIDAL Popularity: Popularity score of the song on TIDAL.
• Explicit Track: Indicates whether the song contains explicit content.

Potential Use Cases

• Music Analysis: Analyze trends in audio features to understand popular song characteristics.
• Platform Comparison: Compare song popularity across different music platforms.
• Artist Impact: Study the relationship between artist attributes and song success.
• Temporal Trends: Identify changes in music attributes and preferences over time.
• Cross-Platform Presence: Investigate song performance across various streaming services.

Your support through an upvote would be greatly appreciated if you find this dataset useful! ❤️🙂 Thank you.

Changes in Australian viewing behaviours, marked by increased preference for subscription video-on-demand (SVOD) services like Netflix, have hurt traditional broadcasters, leading to decreased advertising demand. That's why industry revenue is expected to drop at an annualised 5.2% over the five years through 2024-25 to $3.81 billion, including an anticipated dip of 3.9% in 2024-25. Major broadcasters have launched streaming platforms like Nine’s 9Now to counter this competition, offering on-demand access to their programming. Profitability plummeted in 2020 because of the pandemic and severe budget cuts in advertising. The following year, profitability jumped back up to semi-normal levels but has trended downwards since despite cost-saving measures, including wage cuts and reduced depreciation expenses, driven by a tough advertising market. However, live sports and local light entertainment programs continue to draw viewership, with shows like The Block and MasterChef Australia maintaining popularity. Over the past few years, the major broadcasters – Seven West Media, Nine Entertainment, Ten Network Holdings and ABC – have continued to dominate the market, accounting for over 90.0% of industry revenue. Although challenged by SVOD services, they've maintained their stronghold, particularly in metropolitan areas. Even so, uniform programming is causing challenges for niche broadcasters, leading to audience fatigue. Adding more pressure, online platforms like Google, Facebook and YouTube offer targeted, advanced, data-driven advertising, attracting budgets away from traditional broadcasters. This shift has led to industry consolidation as traditional broadcasters strive to preserve profitability while new entrants struggle to compete. Although industry revenue is projected to contract at an annualised rate of 0.3% to $3.8 billion by 2029–30, Australia's sports broadcasting segment is poised for growth. Leading broadcasters like Seven West Media are set to redefine live sports viewing experiences, supported by regulations that keep nationally significant sports accessible on free-to-air television and prevent monopolisation by subscription services. Continued government funding for public broadcasters like ABC and SBS will bolster industry performance in the coming years. Still, the escalating competition from subscription video-on-demand (SVOD) services and online media platforms, particularly among younger audiences, threatens traditional broadcasters' viewership, advertising revenue and profitability.

The experiments utilized these datasets to build a system to support the design of voting advice applications.

1. Party manifesto data contains party manifestos uploaded before the 2021 Japanese Upper House and the 2022 House of Councillors elections from all the Japanese political parties.

2. YouTube comments data contains comments from the 18 most popular Japanese YouTube channels related to politics and economics uploaded between January 2021 and July 2021 (3,998,590 comments from 17,773 videos).

The research was conducted by Daniil Buryakov, Mate Kovacs, Victor Kryssanov, and Uwe Serdült.

Abstract of the paper:

The relevance and importance of voting advice applications are demonstrated by its popularity among potential voters. On average, around 30% of voters take into account the recommendations of the applications during elections. The comparison between potential voters' and parties' positions is made on the basis of VAA policy statements on which they are asked to express opinions. VAA designers devote substantial time and effort to analyzing domestic and international politics to formulate policy statements and select those to be included in the application. In this procedure, they manually read and evaluate a large volume of publicly available data, mostly party manifestos. A problematic part of this work is the limited time frame available. This study proposes a system to assist VAA designers in formulating, revising, and selecting policy statements. Using language models and machine learning methods to process politics-related textual data, the system produces a set of suggestions corresponding to relevant VAA statements. Experiments are conducted using party manifestos and YouTube comments from Japan, combined with VAA policy statements from 6 Japanese and 2 European VAAs. The technical approaches used in the system are based on the BERT language model, which is known for its capability to capture the context of words in the documents. Although the output of the system, while not completely eliminating the need for manual human assessment, it provides valuable recommendations for updating VAA policy statements on an objective, i.e., bias-free basis.

FineVideo

FineVideo Description Dataset Explorer Revisions Dataset Distribution

How to download and use FineVideo Using datasets Using huggingface_hub Load a subset of the dataset

Dataset StructureData Instances Data Fields

Dataset Creation License CC-By Considerations for Using the Data Social Impact of Dataset Discussion of Biases

Additional Information Credits Future Work Opting out of FineVideo Citation Information

Terms of use for FineVideo… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceFV/finevideo.

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.

Instagram’s most popular post

              As of April 2024, the most popular post on Instagram was Lionel Messi and his teammates after winning the 2022 FIFA World Cup with Argentina, posted by the account @leomessi. Messi's post, which racked up over 61 million likes within a day, knocked off the reigning post, which was 'Photo of an Egg'. Originally posted in January 2021, 'Photo of an Egg' surpassed the world’s most popular Instagram post at that time, which was a photo by Kylie Jenner’s daughter totaling 18 million likes.
              After several cryptic posts published by the account, World Record Egg revealed itself to be a part of a mental health campaign aimed at the pressures of social media use.

              Instagram’s most popular accounts

              As of April 2024, the official Instagram account @instagram had the most followers of any account on the platform, with 672 million followers. Portuguese footballer Cristiano Ronaldo (@cristiano) was the most followed individual with 628 million followers, while Selena Gomez (@selenagomez) was the most followed woman on the platform with 429 million. Additionally, Inter Miami CF striker Lionel Messi (@leomessi) had a total of 502 million. Celebrities such as The Rock, Kylie Jenner, and Ariana Grande all had over 380 million followers each.

              Instagram influencers

              In the United States, the leading content category of Instagram influencers was lifestyle, with 15.25 percent of influencers creating lifestyle content in 2021. Music ranked in second place with 10.96 percent, followed by family with 8.24 percent. Having a large audience can be very lucrative: Instagram influencers in the United States, Canada and the United Kingdom with over 90,000 followers made around 1,221 US dollars per post.

              Instagram around the globe

              Instagram’s worldwide popularity continues to grow, and India is the leading country in terms of number of users, with over 362.9 million users as of January 2024. The United States had 169.65 million Instagram users and Brazil had 134.6 million users. The social media platform was also very popular in Indonesia and Turkey, with 100.9 and 57.1, respectively. As of January 2024, Instagram was the fourth most popular social network in the world, behind Facebook, YouTube and WhatsApp.