100+ datasets found
  1. Change in media consumption habits in the U.S. 2024-2025

    • statista.com
    Updated Jul 4, 2025
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    Statista (2025). Change in media consumption habits in the U.S. 2024-2025 [Dataset]. https://www.statista.com/statistics/1382608/media-usage-habits-change-us/
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    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In early 2025, ***percent of consumers in the United States were watching TV for at least ***** hours per day, down from ** percent who said the same in the corresponding period of 2024. At the same time, radio consumption also decreased, with ** percent of consumers listening to radio in 2025.

  2. Data from: Consuming media at home due to the coronavirus worldwide 2020, by...

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Consuming media at home due to the coronavirus worldwide 2020, by country [Dataset]. https://www.statista.com/statistics/1106498/home-media-consumption-coronavirus-worldwide-by-country/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 16, 2020 - Mar 20, 2020
    Area covered
    Worldwide
    Description

    A global survey conducted in March 2020 revealed that the coronavirus has had a direct impact on in-home media consumption around the world, with ** percent of total respondents professing to have read more books or listened to more audiobooks at home and ** percent having listened to more radio due to the COVID-19 pandemic, whilst more than ** percent of consumers spent longer on messaging services and social media. Interestingly, although at least ** percent of respondents in most countries said that they were watching more news coverage, figures for Australia and the United States were lower, amounting to just ** and ** percent respectively. Australians were also the least likely to be reading more newspapers; just **** percent of consumers said that they were doing so compared to the global total of ** percent. Whilst ** percent of Italians were spending longer on messaging services, in Japan the same was true for only ***** percent of respondents, and survey participants from China and the Philippines were by far the most likely to be spending more time on music streaming services.For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.

  3. Increase in media consumption 2022, by activity

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Increase in media consumption 2022, by activity [Dataset]. https://www.statista.com/statistics/1280641/india-change-in-media-consumption-by-activity/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    India
    Description

    A survey on media consumption in India in 2022 revealed that ** percent of consumers had increased their frequency of visiting websites and apps over the past year, and another ** percent expected to increase this form of media consumption over the next 12 months. It was also worth noting that listening to podcasts would rise in the year to follow, with ** percent respondents indicating their intention to increasingly do so.

  4. C

    Global Spoken Word Content Platforms Market Demand Forecasting 2025-2032

    • statsndata.org
    excel, pdf
    Updated Aug 2025
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    Stats N Data (2025). Global Spoken Word Content Platforms Market Demand Forecasting 2025-2032 [Dataset]. https://www.statsndata.org/report/spoken-word-content-platforms-market-283254
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    excel, pdfAvailable download formats
    Dataset updated
    Aug 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Spoken Word Content Platforms market has emerged as a dynamic segment within the broader digital content industry, fueled by the rising popularity of audio-based media consumption. As consumers continue to seek engaging and accessible ways to absorb information, spoken word platforms, which include podcasts, aud

  5. m

    Mem Media Consumption Market Size, Share & Trends Analysis 2033

    • marketresearchintellect.com
    Updated Aug 15, 2025
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    Market Research Intellect (2025). Mem Media Consumption Market Size, Share & Trends Analysis 2033 [Dataset]. https://www.marketresearchintellect.com/product/global-mem-media-consumption-market-size-and-forecast/
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    Dataset updated
    Aug 15, 2025
    Dataset authored and provided by
    Market Research Intellect
    License

    https://www.marketresearchintellect.com/privacy-policyhttps://www.marketresearchintellect.com/privacy-policy

    Area covered
    Global
    Description

    Dive into Market Research Intellect's Mem Media Consumption Market Report, valued at USD 45 billion in 2024, and forecast to reach USD 70 billion by 2033, growing at a CAGR of 6.5% from 2026 to 2033.

  6. m

    Comprehensive Filter Media Consumption Market Size, Share & Industry...

    • marketresearchintellect.com
    Updated Jul 7, 2025
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    Market Research Intellect (2025). Comprehensive Filter Media Consumption Market Size, Share & Industry Insights 2033 [Dataset]. https://www.marketresearchintellect.com/product/global-filter-media-consumption-market-size-and-forecast/
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    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Market Research Intellect
    License

    https://www.marketresearchintellect.com/privacy-policyhttps://www.marketresearchintellect.com/privacy-policy

    Area covered
    Global
    Description

    Market Research Intellect's Filter Media Consumption Market Report highlights a valuation of USD 5.8 billion in 2024 and anticipates growth to USD 9.2 billion by 2033, with a CAGR of 6.5% from 2026–2033.Explore insights on demand dynamics, innovation pipelines, and competitive landscapes.

  7. Average daily media use in the U.S. 2024, by medium

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Average daily media use in the U.S. 2024, by medium [Dataset]. https://www.statista.com/statistics/1289938/daily-media-usage-us/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    During the third quarter of 2024, internet users in the United States spent over *** hours daily using the internet, with over *** hours spent viewing video content on TV (both broadcast and streamed) as well as more than * hours devoted to using social media platforms. This substantial amount of time spent with online media reflects a significant trend in consumption habits, which have been influenced by the need for inexpensive, faster, and more accessible entertainment. Media Consumption Trends and Future Plans The average daily time spent with digital media in the United States is expected to increase from *** minutes (seven hours and ** minutes) in 2022 to close to * hours by the end of 2025. This pivot is dictated by the ease of access of online entertainment and variety of content available on numerous platforms.According to a survey conducted in April 2023, the majority of consumers in the United States were not planning to make any major changes to most of their media habits in the following year. However, a notable ** percent planned to increase their time spent listening to podcasts. In general, there was an evident shift towards reducing or ending paid subscriptions to numerous media services. Free entertainment is on social A survey conducted in June 2023 highlighted that adults in the United States spent more time per day on TikTok than on any other leading social media platform, with an average of **** minutes per day. The video sharing network gained more popularity with users than YouTube and Twitter. This underlines the growing interest in short form video and fast entertainment options. Today consumers step away from traditional media and dive into online offers.

  8. e

    Media Analysis (MA 97, Press Media I) - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Oct 28, 2023
    + more versions
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    (2023). Media Analysis (MA 97, Press Media I) - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/3f955475-1677-5f78-9856-bcf258efbafa
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    Dataset updated
    Oct 28, 2023
    Description

    The study series "Media Analyse" is an annual, systematic survey of media usage among the German population which is conducted by "Arbeitsgemeinschaft für Media-Analyse (AGMA)“. AGMA includes popular consumer media, advertising agencies and various advertising companies. A random sample is surveyed annually in a personal interview about their media use. The present study from 1997 focuses on the consumption of press media. Die Studienreihe „Media-Analyse“ ist eine jährlich durchgeführte, systematische Erhebung des Nutzungsverhaltens von Medien innerhalb der deutschen Bevölkerung. Träger der „Media-Analyse“ ist die „Arbeitsgemeinschaft für Media-Analyse (AGMA)“, in der alle wesentlichen Publikumsmedien, Werbeagenturen sowie verschiedene werbetreibende Unternehmen zusammengeschlossen sind. Dabei wird jährlich eine Zufallsstichprobe in einem persönlichen Interview zu ihrer Mediennutzung befragt. Im Fokus der vorliegenden Studie aus dem Jahr 1997 liegt der Konsum von Pressemedien.

  9. Time spent with digital vs. traditional media in the U.S. 2011-2025

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Time spent with digital vs. traditional media in the U.S. 2011-2025 [Dataset]. https://www.statista.com/statistics/565628/time-spent-digital-traditional-media-usa/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The average daily time spent with digital media in the United States is expected to increase from *** minutes (seven hours and 19 minutes) in 2022 to close to ***** hours in 2025. Higher online media consumption in 2020 was partially attributed to the coronavirus outbreak. Impact of COVID-19 on media consumption In-home media consumption grew sharply in March 2020 in the first stages of the COVID-19 pandemic. More than ** percent of U.S. respondents reported spending more time watching shows and films on streaming services, and ** percent were reading books or listening to audiobooks more than usual. Despite predictions that this spike in media usage would fall after the initial implementation of shelter-in-place orders, consumers also continued spending more time with media in the summer of 2020. The same survey, held in July that year, also asked participants about their plans to continue with their increased media consumption after the pandemic has run its course. This garnered different responses, with only a handful of U.S. adults planning to carry on investing more time in most media activities. Again though, watching movies and shows on streaming platforms and reading or listening to books were the most popular options.

  10. m

    Global High Temperature Filter Media Consumption Market Analysis, Share &...

    • marketresearchintellect.com
    Updated Jul 13, 2020
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    Market Research Intellect (2020). Global High Temperature Filter Media Consumption Market Analysis, Share & Industry Outlook 2033 [Dataset]. https://www.marketresearchintellect.com/product/global-high-temperature-filter-media-consumption-market-size-and-forecast/
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    Dataset updated
    Jul 13, 2020
    Dataset authored and provided by
    Market Research Intellect
    License

    https://www.marketresearchintellect.com/privacy-policyhttps://www.marketresearchintellect.com/privacy-policy

    Area covered
    Global
    Description

    Market Research Intellect presents the High Temperature Filter Media Consumption Market Report-estimated at USD 2.5 billion in 2024 and predicted to grow to USD 4.0 billion by 2033, with a CAGR of 6.5% over the forecast period. Gain clarity on regional performance, future innovations, and major players worldwide.

  11. 2.3. Y Pearson's Correlation Pre-test (Ouput Data) - Doomscrolling and...

    • figshare.com
    jar
    Updated May 10, 2025
    + more versions
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    Putri Fajar Ayu Hendrayani (2025). 2.3. Y Pearson's Correlation Pre-test (Ouput Data) - Doomscrolling and Information Overload on Generation Z: Examining the Link Between Excessive Digital Media Consumption and Stress Level [Dataset]. http://doi.org/10.6084/m9.figshare.29002487.v2
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    jarAvailable download formats
    Dataset updated
    May 10, 2025
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Putri Fajar Ayu Hendrayani
    License

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

    Description

    Pre-test analysis Y variable (excessive digital media consumption) results using IBM SPSS Statistics 26 for research title "Doomscrolling and Information Overload on Generation Z: Examining the Link Between Excessive Digital Media Consumption and Stress Level".

  12. D

    Digital Media Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 27, 2025
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    Data Insights Market (2025). Digital Media Report [Dataset]. https://www.datainsightsmarket.com/reports/digital-media-1439431
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The digital media market is experiencing robust growth, driven by increasing internet and smartphone penetration, the rise of streaming services, and the expanding influence of social media. The market, estimated at $500 billion in 2025, is projected to maintain a healthy Compound Annual Growth Rate (CAGR) of 15% through 2033, reaching approximately $1.8 trillion. This expansion is fueled by several key trends, including the increasing adoption of personalized content, the rise of short-form video, the growth of influencer marketing, and the ongoing development of innovative advertising technologies. Major players like ViacomCBS, The New York Times Company, and Warner Media Group are strategically investing in content creation, technology, and audience engagement to capitalize on this growth. However, challenges such as content piracy, data privacy concerns, and the evolving regulatory landscape present significant restraints to market expansion. The market segmentation reveals a dynamic landscape with significant revenue contributions from various media formats, including video streaming, online news, social media, and digital advertising. Regional variations exist, with North America and Europe currently dominating the market, but significant growth opportunities exist in emerging markets across Asia and Latin America. The competitive landscape is fiercely competitive, with established media conglomerates facing increasing pressure from digitally native companies. Strategic acquisitions, partnerships, and technological innovation are crucial for success. The forecast period of 2025-2033 will see increased competition based on original content, advanced analytics, and personalized user experience. Companies are investing heavily in artificial intelligence and machine learning to improve content recommendations, targeting, and ad delivery. The ability to adapt quickly to changing consumer preferences and technological advancements will be critical for sustained success in this rapidly evolving market. The long-term outlook remains positive, with the potential for continued strong growth driven by technological advancements and the expanding reach of digital platforms.

  13. 2.5. X1 Cronbach's Alpha Pre-test (Ouput Data) - Doomscrolling and...

    • figshare.com
    jar
    Updated May 10, 2025
    + more versions
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    Putri Fajar Ayu Hendrayani (2025). 2.5. X1 Cronbach's Alpha Pre-test (Ouput Data) - Doomscrolling and Information Overload on Generation Z: Examining the Link Between Excessive Digital Media Consumption and Stress Level [Dataset]. http://doi.org/10.6084/m9.figshare.29002478.v2
    Explore at:
    jarAvailable download formats
    Dataset updated
    May 10, 2025
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Putri Fajar Ayu Hendrayani
    License

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

    Description

    Pre-test analysis X1 variable (doomscrolling) results using IBM SPSS Statistics 26 for research title "Doomscrolling and Information Overload on Generation Z: Examining the Link Between Excessive Digital Media Consumption and Stress Level".

  14. f

    Navigating News Narratives: A Media Bias Analysis Dataset

    • figshare.com
    txt
    Updated Dec 8, 2023
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    Shaina Raza (2023). Navigating News Narratives: A Media Bias Analysis Dataset [Dataset]. http://doi.org/10.6084/m9.figshare.24422122.v4
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    txtAvailable download formats
    Dataset updated
    Dec 8, 2023
    Dataset provided by
    figshare
    Authors
    Shaina Raza
    License

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

    Description

    The prevalence of bias in the news media has become a critical issue, affecting public perception on a range of important topics such as political views, health, insurance, resource distributions, religion, race, age, gender, occupation, and climate change. The media has a moral responsibility to ensure accurate information dissemination and to increase awareness about important issues and the potential risks associated with them. This highlights the need for a solution that can help mitigate against the spread of false or misleading information and restore public trust in the media.Data description: This is a dataset for news media bias covering different dimensions of the biases: political, hate speech, political, toxicity, sexism, ageism, gender identity, gender discrimination, race/ethnicity, climate change, occupation, spirituality, which makes it a unique contribution. The dataset used for this project does not contain any personally identifiable information (PII).The data structure is tabulated as follows:Text: The main content.Dimension: Descriptive category of the text.Biased_Words: A compilation of words regarded as biased.Aspect: Specific sub-topic within the main content.Label: Indicates the presence (True) or absence (False) of bias. The label is ternary - highly biased, slightly biased and neutralToxicity: Indicates the presence (True) or absence (False) of bias.Identity_mention: Mention of any identity based on words match.Annotation SchemeThe labels and annotations in the dataset are generated through a system of Active Learning, cycling through:Manual LabelingSemi-Supervised LearningHuman VerificationThe scheme comprises:Bias Label: Specifies the degree of bias (e.g., no bias, mild, or strong).Words/Phrases Level Biases: Pinpoints specific biased terms or phrases.Subjective Bias (Aspect): Highlights biases pertinent to content dimensions.Due to the nuances of semantic match algorithms, certain labels such as 'identity' and 'aspect' may appear distinctively different.List of datasets used : We curated different news categories like Climate crisis news summaries , occupational, spiritual/faith/ general using RSS to capture different dimensions of the news media biases. The annotation is performed using active learning to label the sentence (either neural/ slightly biased/ highly biased) and to pick biased words from the news.We also utilize publicly available data from the following links. Our Attribution to others.MBIC (media bias): Spinde, Timo, Lada Rudnitckaia, Kanishka Sinha, Felix Hamborg, Bela Gipp, and Karsten Donnay. "MBIC--A Media Bias Annotation Dataset Including Annotator Characteristics." arXiv preprint arXiv:2105.11910 (2021). https://zenodo.org/records/4474336Hyperpartisan news: Kiesel, Johannes, Maria Mestre, Rishabh Shukla, Emmanuel Vincent, Payam Adineh, David Corney, Benno Stein, and Martin Potthast. "Semeval-2019 task 4: Hyperpartisan news detection." In Proceedings of the 13th International Workshop on Semantic Evaluation, pp. 829-839. 2019. https://huggingface.co/datasets/hyperpartisan_news_detectionToxic comment classification: Adams, C.J., Jeffrey Sorensen, Julia Elliott, Lucas Dixon, Mark McDonald, Nithum, and Will Cukierski. 2017. "Toxic Comment Classification Challenge." Kaggle. https://kaggle.com/competitions/jigsaw-toxic-comment-classification-challenge.Jigsaw Unintended Bias: Adams, C.J., Daniel Borkan, Inversion, Jeffrey Sorensen, Lucas Dixon, Lucy Vasserman, and Nithum. 2019. "Jigsaw Unintended Bias in Toxicity Classification." Kaggle. https://kaggle.com/competitions/jigsaw-unintended-bias-in-toxicity-classification.Age Bias : Díaz, Mark, Isaac Johnson, Amanda Lazar, Anne Marie Piper, and Darren Gergle. "Addressing age-related bias in sentiment analysis." In Proceedings of the 2018 chi conference on human factors in computing systems, pp. 1-14. 2018. Age Bias Training and Testing Data - Age Bias and Sentiment Analysis Dataverse (harvard.edu)Multi-dimensional news Ukraine: Färber, Michael, Victoria Burkard, Adam Jatowt, and Sora Lim. "A multidimensional dataset based on crowdsourcing for analyzing and detecting news bias." In Proceedings of the 29th ACM International Conference on Information & Knowledge Management, pp. 3007-3014. 2020. https://zenodo.org/records/3885351#.ZF0KoxHMLtVSocial biases: Sap, Maarten, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, and Yejin Choi. "Social bias frames: Reasoning about social and power implications of language." arXiv preprint arXiv:1911.03891 (2019). https://maartensap.com/social-bias-frames/Goal of this dataset :We want to offer open and free access to dataset, ensuring a wide reach to researchers and AI practitioners across the world. The dataset should be user-friendly to use and uploading and accessing data should be straightforward, to facilitate usage.If you use this dataset, please cite us.Navigating News Narratives: A Media Bias Analysis Dataset © 2023 by Shaina Raza, Vector Institute is licensed under CC BY-NC 4.0

  15. H

    Hong Kong OOH And DOOH Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 8, 2025
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    Data Insights Market (2025). Hong Kong OOH And DOOH Market Report [Dataset]. https://www.datainsightsmarket.com/reports/hong-kong-ooh-and-dooh-market-20632
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 8, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Hong Kong, Global
    Variables measured
    Market Size
    Description

    The Hong Kong Out-of-Home (OOH) and Digital Out-of-Home (DOOH) advertising market exhibits robust growth potential, driven by increasing urbanization, rising disposable incomes, and a surge in digital media consumption. The market's transition from traditional static OOH formats to dynamic DOOH displays is a key trend, fueled by the increasing sophistication of programmatic advertising and the ability to target specific demographics with greater precision. While traditional billboards and transit advertising remain significant segments, the adoption of LED screens and other digital technologies is rapidly expanding, enabling more interactive and data-driven campaigns. The strong presence of international and local players, such as JCDecaux SE, Hivestack, and Asiaray Media Group Limited, indicates a competitive landscape with continuous innovation in ad formats and delivery methods. Challenges include the high cost of DOOH infrastructure and maintaining impactful creative strategies within an increasingly cluttered digital environment. The market is segmented by advertising type (static and digital), application (billboards, transit, street furniture), and end-user (automotive, retail, healthcare, etc.). Considering the global CAGR of 5.63% and the vibrant advertising landscape in Hong Kong, a conservative estimate places the Hong Kong OOH and DOOH market size at approximately $100 million USD in 2025, with a projected growth rate exceeding the global average due to the region's unique characteristics. Growth in the Hong Kong OOH and DOOH market is expected to continue driven by government initiatives promoting smart city infrastructure and advancements in digital technologies. This will likely fuel investment in advanced DOOH screens and programmatic platforms. The increasing adoption of mobile technology by consumers, combined with location-based advertising capabilities, will further enhance the effectiveness of DOOH campaigns. The market will likely see increased collaboration between OOH media owners and data analytics providers to deliver more effective and measurable results for advertisers. Competition among advertising agencies and media owners will likely intensify, requiring innovation and differentiation to capture market share. Despite potential economic fluctuations, the long-term outlook for the Hong Kong OOH and DOOH market remains positive, driven by the enduring need for impactful brand building and targeted advertising solutions in a densely populated and technologically advanced city. This report provides a detailed analysis of the dynamic Hong Kong Out-of-Home (OOH) and Digital Out-of-Home (DOOH) advertising market, covering the period from 2019 to 2033. It offers invaluable insights for businesses seeking to understand the market's trends, growth potential, and key players. With a focus on market size (in millions), key segments, and competitive landscape, this report is essential for strategic decision-making in this rapidly evolving industry. The study period encompasses the historical period (2019-2024), the base year (2025), and the forecast period (2025-2033), offering a complete overview of market evolution. Recent developments include: January 2024: Bravo Media, an out-of-home media agency based in Hong Kong, is responding to the surging demand for digital formats by unveiling new digital ventures. These include digital pillar zones at MTR East Tsim Sha Tsui station and a dynamic digital impact zone at Admiralty station. This strategic move not only signifies a significant contract win for Bravo Media but also underlines its growing dominance in Hong Kong's out-of-home advertising landscape., September 2023: KFC Hong Kong partnered with Edelman Hong Kong to launch a series of engaging billboards throughout the city. The displays are designed to capture the attention of onlookers, marking the introduction of their new product, "FING FING Cajun Chips.". Key drivers for this market are: Ongoing Shift Toward Digital Advertising, Increasing Use of Recommendation Engines. Potential restraints include: Ongoing Shift Toward Digital Advertising, Increasing Use of Recommendation Engines. Notable trends are: Ongoing Shift Toward Digital Advertising Expected to Boost Market Growth.

  16. s

    Social Media Worldwide Usage Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Social Media Worldwide Usage Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-user-statistics/
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    Dataset updated
    Apr 1, 2025
    License

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

    Description

    Which countries spent the most and least time on social media?

  17. s

    Social Media Usage By Country

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Social Media Usage By Country [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    License

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

    Description

    The results might surprise you when looking at internet users that are active on social media in each country.

  18. Media exposure per profile: average number of days per week.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Linda Bos; Sanne Kruikemeier; Claes de Vreese (2023). Media exposure per profile: average number of days per week. [Dataset]. http://doi.org/10.1371/journal.pone.0155112.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Linda Bos; Sanne Kruikemeier; Claes de Vreese
    License

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

    Description

    Media exposure per profile: average number of days per week.

  19. s

    Social Media Usage By Age

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Social Media Usage By Age [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    License

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

    Description

    Gen Z and Millennials are the biggest social media users of all age groups.

  20. Daily media consumption hours in the U.S. 2024, by generation

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Daily media consumption hours in the U.S. 2024, by generation [Dataset]. https://www.statista.com/statistics/1537787/media-consumption-time-generation-us/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 24, 2024 - Aug 1, 2024
    Area covered
    United States
    Description

    A study of media consumption in the United States concluded in August 2024 found that Generation Z respondents spent the largest number of hours daily consuming media - *** hours. The silent generation spent less than **** hours on daily media consumption.

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Statista (2025). Change in media consumption habits in the U.S. 2024-2025 [Dataset]. https://www.statista.com/statistics/1382608/media-usage-habits-change-us/
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Change in media consumption habits in the U.S. 2024-2025

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Dataset updated
Jul 4, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

In early 2025, ***percent of consumers in the United States were watching TV for at least ***** hours per day, down from ** percent who said the same in the corresponding period of 2024. At the same time, radio consumption also decreased, with ** percent of consumers listening to radio in 2025.

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