10 datasets found
  1. Quarterly Netflix subscribers count worldwide 2013-2024

    • statista.com
    Updated Sep 8, 2025
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    Statista (2025). Quarterly Netflix subscribers count worldwide 2013-2024 [Dataset]. https://www.statista.com/statistics/250934/quarterly-number-of-netflix-streaming-subscribers-worldwide/
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    Dataset updated
    Sep 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Netflix's global subscriber base has reached an impressive milestone, surpassing *** million paid subscribers worldwide in the fourth quarter of 2024. This marks a significant increase of nearly ** million subscribers compared to the previous quarter, solidifying Netflix's position as a dominant force in the streaming industry. Adapting to customer losses Netflix's growth has not always been consistent. During the first half of 2022, the streaming giant lost over *** million customers. In response to these losses, Netflix introduced an ad-supported tier in November of that same year. This strategic move has paid off, with the lower-cost plan attracting ** million monthly active users globally by November 2024, demonstrating Netflix's ability to adapt to changing market conditions and consumer preferences. Global expansion Netflix continues to focus on international markets, with a forecast suggesting that the Asia Pacific region is expected to see the most substantial growth in the upcoming years, potentially reaching around **** million subscribers by 2029. To correspond to the needs of the non-American target group, the company has heavily invested in international content in recent years, with Korean, Spanish, and Japanese being the most watched non-English content languages on the platform.

  2. N

    Netflix Statistics

    • searchlogistics.com
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    Search Logistics, Netflix Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/netflix-statistics/
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    Dataset authored and provided by
    Search Logistics
    License

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

    Description

    In this post, you'll see how the Netflix platform is evolving, how many users Netflix has and how they perform against the growing competition.

  3. Netflix Stock Data and Key Affiliated Companies

    • kaggle.com
    Updated Dec 13, 2024
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    Zongao Bian (2024). Netflix Stock Data and Key Affiliated Companies [Dataset]. https://www.kaggle.com/datasets/zongaobian/netflix-stock-data-and-key-affiliated-companies
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 13, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Zongao Bian
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    This dataset, titled "Netflix Stock Data and Key Affiliated Companies", provides comprehensive insights into the stock performance of Netflix (NFLX) alongside several key companies that have played a significant role in Netflix's growth and operational success. These companies include major technology and media giants such as Amazon (AMZN), Intel (INTC), Warner Bros. Discovery (WBD), Sony (SONY), and others.

    Dataset Overview:

    The dataset includes daily stock data for Netflix and a selection of companies that contribute to its content distribution, technological infrastructure, cloud services, and content licensing. The selection of affiliated companies highlights the broad ecosystem of services and technologies that power Netflix's streaming service and its original content production.

    Key Companies Included:

    1. Netflix (NFLX) – The leading global streaming platform that revolutionized the way we consume media.
    2. Amazon (AMZN) – Provides critical cloud infrastructure via Amazon Web Services (AWS), enabling Netflix to scale globally.
    3. Intel (INTC) – Supplies advanced processors and server technologies that help Netflix handle massive data loads.
    4. Akamai Technologies (AKAM) – A key content delivery network (CDN) provider that ensures fast and reliable streaming.
    5. Warner Bros. Discovery (WBD), Paramount Global (PARA), and Sony (SONY) – These media companies have been essential content partners for licensing and streaming rights, fueling Netflix’s growth before and during its original content development.

    Features:

    • Daily stock prices for Netflix and its key partners over time.
    • Open, High, Low, Close, Volume and other financial metrics for each company.
    • The dataset allows users to analyze correlations between Netflix and companies that provide essential services like cloud infrastructure, content delivery, and licensed content.

    Use Cases:

    • Financial Analysis: Evaluate stock trends, price movements, and performance relationships among Netflix and its affiliated companies.
    • Business Strategy: Understand how various partnerships and technological dependencies have influenced Netflix’s rapid growth.
    • Machine Learning: Use the data for stock prediction models, time-series analysis, or risk assessments by understanding the historical volatility of these companies.

    Potential Analysis:

    • Stock Price Correlation: Investigate the correlation between Netflix’s stock and its key partners, such as Amazon and Intel.
    • Impact of Technological Partners: Assess the importance of key tech partnerships in supporting Netflix’s streaming infrastructure and business operations.
    • Influence of Media Partnerships: Examine how the stock performance of media companies like Warner Bros., Sony, and Paramount align with Netflix’s success.

    Conclusion:

    By analyzing the historical stock data of Netflix alongside these affiliated companies, users can gain deeper insights into how a diverse set of industries—including technology, media, and cloud infrastructure—come together to create the backbone of Netflix’s success. This dataset serves as a valuable resource for financial analysts, machine learning enthusiasts, and business strategists interested in the interconnections between these influential companies.

    How to Use:

    • Download the dataset, and explore the stock data for the companies mentioned.
    • Perform exploratory data analysis (EDA), build models to predict stock prices, or conduct business analysis to uncover the relationships that drive Netflix’s market success.

    This dataset provides a solid foundation for understanding the financial landscape surrounding Netflix and its key partners.

  4. A

    ‘1000 Netflix Shows’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Aug 4, 2020
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2020). ‘1000 Netflix Shows’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-1000-netflix-shows-8e7c/587bed58/?iid=006-344&v=presentation
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    Dataset updated
    Aug 4, 2020
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘1000 Netflix Shows’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/chasewillden/netflix-shows on 21 November 2021.

    --- Dataset description provided by original source is as follows ---

    Context

    Netflix in the past 5-10 years has captured a large populate of viewers. With more viewers, there most likely an increase of show variety. However, do people understand the distribution of ratings on Netflix shows?

    Content

    Because of the vast amount of time it would take to gather 1,000 shows one by one, the gathering method took advantage of the Netflix’s suggestion engine. The suggestion engine recommends shows similar to the selected show. As part of this data set, I took 4 videos from 4 ratings (totaling 16 unique shows), then pulled 53 suggested shows per video. The ratings include: G, PG, TV-14, TV-MA. I chose not to pull from every rating (e.g. TV-G, TV-Y, etc.).

    Acknowledgements

    The data set and the research article can be found at The Concept Center

    Inspiration

    I was watching Netflix with my wife and we asked ourselves, why are there so many R and TV-MA rating shows?

    --- Original source retains full ownership of the source dataset ---

  5. Quarterly Netflix paid streaming subscribers in the U.S. and Canada...

    • statista.com
    Updated Jan 21, 2025
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    Statista (2025). Quarterly Netflix paid streaming subscribers in the U.S. and Canada 2013-2024 [Dataset]. https://www.statista.com/statistics/250937/quarterly-number-of-netflix-streaming-subscribers-in-the-us/
    Explore at:
    Dataset updated
    Jan 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada, United States
    Description

    Netflix reported **** million paid streaming subscribers across the United States and Canada in the fourth quarter of 2024. This marked a growth of over **** million compared with the same quarter of the previous year. Why is Netflix losing subscribers? The EMEA (Europe, the Middle East, and Africa) region is Netflix's top-performing market in terms of subscribers, surpassing North America in the third quarter of 2022 for the first time. The company reported losing an estimated *** million users worldwide in the second quarter of 2022, with the number of Netflix users standing at approximately *** million that quarter. But why have audiences canceled their subscriptions? One reason for the unprecedented drop in account holders is Netflix's monthly fee, which has been increasing rapidly over the past few years. On top of that, viewers have also voiced criticism over Netflix's cancellation of popular shows and its lack of big movie franchises. What are audiences watching? Netflix's vast content library offers anything from reality TV to Hollywood blockbusters, with shows and movies delivered in many languages. As of mid-2024, European countries such as Slovakia, Bulgaria, and Slovenia boasted the largest content catalogs on Netflix. In the U.S., where audiences could choose from approximately ***** titles, “NCIS” and “Suits” ranked among the most popular streaming series on Netflix in 2023. As of that year, fan favorites “Stranger Things” and “3 Body Problem” were the most expensive Netflix original series, with production costs of ** and ** million U.S. dollars per episode, respectively.

  6. Disney+ Movies and TV Shows

    • kaggle.com
    Updated Nov 29, 2021
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    Shivam Bansal (2021). Disney+ Movies and TV Shows [Dataset]. https://www.kaggle.com/datasets/shivamb/disney-movies-and-tv-shows/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 29, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Shivam Bansal
    Description

    About this Dataset: Disney+ is another one of the most popular media and video streaming platforms. They have close to 1300 movies or tv shows available on their platform, as of mid-2021, they have over 116M Subscribers globally. This tabular dataset consists of listings of all the movies and tv shows available on Amazon Prime, along with details such as - cast, directors, ratings, release year, duration, etc.

    Interesting Task Ideas

    1. Understanding what content is available in different countries
    2. Identifying similar content by matching text-based features
    3. Network analysis of Actors / Directors and find interesting insights
    4. Does Disney+ has more focus on TV Shows than movies in recent years.

    Other Platform's Datasets (Click on the logos to view)

    ![alt text][1] ![alt text][3] ![alt text][5] ![alt text][7] [1]: https://i.imgur.com/As0PMcL.jpg =75x20

    [3]: https://i.imgur.com/r5t3MpQ.jpg =75x20

    [5]: https://i.imgur.com/4a4ZMuy.png =75x30

    [7]: https://i.imgur.com/nCL8Skc.png?1 =75x32

  7. Netflix Stock Price Dataset 🎥🍿🎬📊

    • kaggle.com
    Updated May 25, 2024
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    Mayank Anand (2024). Netflix Stock Price Dataset 🎥🍿🎬📊 [Dataset]. https://www.kaggle.com/datasets/mayankanand2701/netflix-stock-price-dataset/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 25, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Mayank Anand
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Netflix, Inc. is an American subscription streaming service and production company founded in 1997 by Reed Hastings and Marc Randolph in Scotts Valley, California. Initially, Netflix started as a DVD rental service, pioneering the model of online rentals with no late fees. In 2007, the company transitioned into streaming media, revolutionizing the entertainment industry by offering a vast library of movies and TV shows accessible on-demand. Netflix further expanded its influence by producing original content, beginning with the series "**House of Cards**" in 2013. Today, Netflix is a global powerhouse in entertainment, with over 200 million subscribers worldwide and a diverse portfolio of acclaimed original series, films, and documentaries.

    This dataset provides a comprehensive record of Netflix's stock price changes over time. It includes essential columns such as the date, opening price, highest price of the day, lowest price of the day, closing price, adjusted closing price, and trading volume.

    This data is invaluable for conducting historical analyses, forecasting future stock performance, and understanding market trends related to Netflix's stock.

  8. Biggest Netflix libraries in the world 2025

    • statista.com
    Updated Sep 10, 2025
    + more versions
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    Statista (2025). Biggest Netflix libraries in the world 2025 [Dataset]. https://www.statista.com/statistics/1013571/netflix-library-size-worldwide/
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    Dataset updated
    Sep 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    World
    Description

    Industry data revealed that Iceland had the most extensive Netflix media library worldwide as of February 2025, with over 9,700 titles available on the platform. Interestingly, the top 10 ranking was spearheaded by European countries. Where do you get the most bang for your Netflix buck? In February 2025, Liechtenstein and Switzerland were the countries with the most expensive Netflix subscription rates. Viewers had to pay around 22.89 U.S. dollars per month for a standard subscription. Subscribers in these countries could choose from between around 7,900 and 8,500 titles. On the other end of the spectrum, Pakistan, Egypt, and Nigeria are some of the countries with the cheapest Netflix subscription costs, at around 2.87 to 3.66 U.S. dollars per month. Popular content on Netflix While viewing preferences can differ across countries and regions, some titles have proven particularly popular with international audiences. As of September 2025, "KPop Demon Hunters" and "Red Notice" were the most popular English-language movies on Netflix, with over 200 million views in their first 91 days available on the platform. Meanwhile, "Troll" ranks first among the top non-English language Netflix movies of all time. The monster film has amassed 103 million views on Netflix, making it the most successful Norwegian-language film on the platform to date.

  9. A

    ‘FAANG- Complete Stock Data’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Sep 30, 2021
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘FAANG- Complete Stock Data’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-faang-complete-stock-data-36c1/9110ef3b/?iid=011-763&v=presentation
    Explore at:
    Dataset updated
    Sep 30, 2021
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘FAANG- Complete Stock Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/aayushmishra1512/faang-complete-stock-data on 30 September 2021.

    --- Dataset description provided by original source is as follows ---

    Context

    There are a few companies that are considered to be revolutionary. These companies also happen to be a dream place to work at for many many people across the world. These companies include - Facebook,Amazon,Apple,Netflix and Google also known as FAANG! These companies make ton of money and they help others too by giving them a chance to invest in the companies via stocks and shares. This data wass made targeting these stock prices.

    Content

    The data contains information such as opening price of a stock, closing price, how much of these stocks were sold and many more things. There are 5 different CSV files in the data for each company.

    --- Original source retains full ownership of the source dataset ---

  10. f

    Table_1_Challenges with using popular entertainment to address mental...

    • frontiersin.figshare.com
    • figshare.com
    xlsx
    Updated Aug 30, 2023
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    Hua Wang; Zhiying Yue; Divya S (2023). Table_1_Challenges with using popular entertainment to address mental health: a content analysis of Netflix series 13 Reasons Why controversy in mainstream news coverage.xlsx [Dataset]. http://doi.org/10.3389/fpsyt.2023.1214822.s001
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Aug 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Hua Wang; Zhiying Yue; Divya S
    License

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

    Description

    BackgroundMental health conditions and psychiatric disorders are among the leading causes of illness, disability, and death among young people around the globe. In the United States, teen suicide has increased by about 30% in the last decade. Raising awareness of warning signs and promoting access to mental health resources can help reduce suicide rates for at-risk youth. However, death by suicide remains a taboo topic for public discourse and societal intervention. An unconventional approach to address taboo topics in society is the use of popular media.MethodWe conducted a quantitative content analysis of mainstream news reporting on the controversial Netflix series 13 Reasons Why Season 1. Using a combination of top-down and bottom-up search strategies, our final sample consisted of 97 articles published between March 31 and May 31, 2017, from 16 media outlets in 3,150 sentences. We systematically examined the news framing in these articles in terms of content and valence, the salience of health/social issue related frames, and their compliance with the WHO guidelines.ResultsNearly a third of the content directly addressed issues of our interest: 61.6% was about suicide and 38.4% was about depression, bullying, sexual assault, and other related health/social issues; it was more negative (42.8%) than positive (17.4%). The criticism focused on the risk of suicide contagion, glamorizing teen suicide, and the portrayal of parents and educators as indifferent and incompetent. The praise was about the show raising awareness of real and difficult issues young people struggle with in their everyday life and serving as a conversation starter to spur meaningful discussions. Our evaluation of WHO guideline compliance for reporting on suicide yielded mixed results. Although we found recommended practices across all major categories, they were minimal and could be improved.ConclusionDespite their well intentions and best efforts, the 13 Reasons Why production team missed several critical opportunities to be better prepared and more effective in creating social impact entertainment and fostering difficult dialogs. There is an urgent need to train news reporters about established health communication guidelines and promote best practices in media reporting on sensitive topics such as suicide.

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

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Statista (2025). Quarterly Netflix subscribers count worldwide 2013-2024 [Dataset]. https://www.statista.com/statistics/250934/quarterly-number-of-netflix-streaming-subscribers-worldwide/
Organization logo

Quarterly Netflix subscribers count worldwide 2013-2024

Explore at:
207 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 8, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

Netflix's global subscriber base has reached an impressive milestone, surpassing *** million paid subscribers worldwide in the fourth quarter of 2024. This marks a significant increase of nearly ** million subscribers compared to the previous quarter, solidifying Netflix's position as a dominant force in the streaming industry. Adapting to customer losses Netflix's growth has not always been consistent. During the first half of 2022, the streaming giant lost over *** million customers. In response to these losses, Netflix introduced an ad-supported tier in November of that same year. This strategic move has paid off, with the lower-cost plan attracting ** million monthly active users globally by November 2024, demonstrating Netflix's ability to adapt to changing market conditions and consumer preferences. Global expansion Netflix continues to focus on international markets, with a forecast suggesting that the Asia Pacific region is expected to see the most substantial growth in the upcoming years, potentially reaching around **** million subscribers by 2029. To correspond to the needs of the non-American target group, the company has heavily invested in international content in recent years, with Korean, Spanish, and Japanese being the most watched non-English content languages on the platform.

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