19 datasets found
  1. U.S. iOS smartphone users noticing a tracking request when opening an app...

    • statista.com
    Updated Sep 10, 2024
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    Statista (2024). U.S. iOS smartphone users noticing a tracking request when opening an app 2022 [Dataset]. https://www.statista.com/statistics/1420672/us-users-noticing-app-tracking-consent-by-os/
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    Dataset updated
    Sep 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2022
    Area covered
    United States
    Description

    According to a survey of mobile smartphone users conducted in December 2022 in the United States, over six in 10 iPhone users reported having noticed a consent request for extended tracking across the company's apps and websites. In comparison, 36 percent of respondents reported not having noticed such an option.

  2. b

    Apple Statistics (2025)

    • businessofapps.com
    Updated Mar 16, 2021
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    Business of Apps (2021). Apple Statistics (2025) [Dataset]. https://www.businessofapps.com/data/apple-statistics/
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    Dataset updated
    Mar 16, 2021
    Dataset authored and provided by
    Business of Apps
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    Apple is one of the most influential and recognisable brands in the world, responsible for the rise of the smartphone with the iPhone. Valued at over $2 trillion in 2021, it is also the most valuable...

  3. Unique data points collection in selected iOS fitness apps 2024

    • statista.com
    Updated Feb 25, 2025
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    Statista (2025). Unique data points collection in selected iOS fitness apps 2024 [Dataset]. https://www.statista.com/statistics/1559454/fitness-apps-unique-data-points-collection/
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    Dataset updated
    Feb 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 30, 2024
    Area covered
    Worldwide
    Description

    In 2024, fitness apps Strava and Fitbit collected 21 unique types of data each from their app users on the Apple App Store worldwide. Nike Training Club followed with 20 unique data points collected from its iOS app users. The Centr app collected only three data points from its iOS users as of December 2024.

  4. b

    App Tracking Transparency Opt-In Rates (2025)

    • businessofapps.com
    Updated May 21, 2024
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    Business of Apps (2024). App Tracking Transparency Opt-In Rates (2025) [Dataset]. https://www.businessofapps.com/data/att-opt-in-rates/
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    Dataset updated
    May 21, 2024
    Dataset authored and provided by
    Business of Apps
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    App Tracking Transparency Key StatisticsATT Opt-In Rate by App CategoryATT Opt-In Rate by Game CategoryATT Opt-In Rate by CountryiOS Apps User TrackingiOS Apps Background Location AccessiOS Apps...

  5. Types of unique data points collection in selected iOS fitness apps 2024

    • statista.com
    Updated Feb 25, 2025
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    Statista (2025). Types of unique data points collection in selected iOS fitness apps 2024 [Dataset]. https://www.statista.com/statistics/1559485/collection-and-tracking-ios-fitness-apps/
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    Dataset updated
    Feb 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 30, 2024
    Area covered
    Worldwide
    Description

    In 2024, the fitness app Strava had the largest number of collected data points that were linked to their app users. Out of the total 21 collected data types, 20 were linked to the users' identity, while two data points could potentially be used to track users. The Nike Training Club app was examined to collect four data points that potentially could help track users. Fitbit, Future Personal Training, and Fitness by Apple did not present any data point that could potentially track users.

  6. iPhone prices and average rent across the world

    • kaggle.com
    Updated Jan 6, 2021
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    Aashish Ghosh (2021). iPhone prices and average rent across the world [Dataset]. https://www.kaggle.com/aashishghosh/iphone-prices-and-average-rent-across-the-world/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 6, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Aashish Ghosh
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Area covered
    World
    Description

    Context

    A lot of my friends love the iphone (just like many people across the world), so I thought it would interesting to collect rent and iphone price information for countries around the world and draw comparisons. The data itself was collected manually by search price aggregator sites. I used themacindex[dot]com link for the iphone prices and chose the most expensive iPhone (iPhone 12 Pro Max 512GB) for the comparisons (Go big or go home right?).

    The rent is taken from numbeo which I personally use for planning travel. As a price comparison aggregator I feel like Numbeo is an impartial source of raw data. Example link

    I chose not to scrape the sites automatically for two main reasons: 1) I am using a laptop with windows and I haven't used scrapy on a windows machine before. 2) I am serving a 14 day quarantine in a country before I start my masters and I am very bored.

    For monetary_data.csv the data was gathered on 3rd January 2020 and is reflective of site data on that date. For cost_living.csv the data was gathered manually on 6th January 2020 (UTC) and is reflective of site data on that date.

    Content

    The monetary_data csv has 4 columns: Country, iphone_price, avg_rent, rent_frac

    Country: This column acts as my index for plotting graphs.

    iphone_price: This column contains the prices of the iphone model mentioned earlier. From the website, it contains the list price (before taxes and rebates) in USD or local list price in USD equivalent.

    avg_rent: This column contains the price of renting a 1 bhk apartment. The value shown is the average of rents for apartments in city center and outside the city center.

    rent_fraction: This column contains Numbeo's model calculated fraction of a person's income devoted to rent. For example, a value of 0.20 means that 20% of a person's rent is devoted to rent. I found these values too low in practice (meaning that average monthly expenses were too high to be realistic), so I avoided using that data, but I have included it for completeness sake.

    The cost_living csv has 7 columns: Country, Gasoline_per_L, Diesel_per_L, Electricity_per_KWHr, Food_for_2_out, Jeans, and Car (Hatchback)

    Note: data obtained from https://www.globalpetrolprices.com/ is licensed under Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0). I have clarified with the owners that my use of this data (the Kaggle DS Survey 2020 competition) does not violate the terms under which it is released.

    Country: This column acts as the index for plots

    Gasoline_per_L: This data was obtained from globalpetrolprices.com and indicates the Gasoline (Petrol) price per liter in that country.

    ** Diesel_per_L**: This data was obtained from globalpetrolprices.com and indicates the Diesel price per liter in that country.

    Electricity_per_KWHr: This data was obtained from globalpetrolprices.com and indicates the cost of electricity per Kilowatt-hour in that country.

    Food_for_2_out: This data was obtained from numbeo and indicates the price for a meal for 2 at a mid-range restaurant in that country.

    Jeans: This data was obtained from numbeo and indicates the average price for an ordinary pair of jeans from global manufacturers like Levi's or similar.

    Car (Hatckback): This data was obtained from numbeo and indicates the average price of a hatchback car similar to the volkswagen golf.

    Inspiration

    Is a geographically determined salary a good idea when skills are the same and the projects people work on are basically global in scale? Does PPP (Purchasing Power Parity) make sense when the prices of many common goods are basically the same around the world? However comical, does this data reflect the need to arrive at a better economic model for the world to function on? Especially when this economic model lowers standards of living around the world while benefiting only a select few? Developed countries also suffer from large income disparities across their population.

    I am including a fair use statement since the purpose of this dataset is to critic the disparity between location agnostic product pricing and geographically determined salaries.

    Fair Use:

    Copyright Disclaimer under section 107 of the Copyright Act 1976, allowance is made for “fair use” for purposes such as criticism, comment, news reporting, teaching, scholarship, education and research.

    Fair use is a use permitted by copyright statute that might otherwise be infringing.

    Non-profit, educational or personal use tips the balance in favor of fair use*

  7. Types of unique data points collection in selected iOS weight loss apps 2025...

    • statista.com
    Updated Feb 26, 2025
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    Statista (2025). Types of unique data points collection in selected iOS weight loss apps 2025 [Dataset]. https://www.statista.com/statistics/1559523/collection-and-tracking-ios-nutrition-apps/
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    Dataset updated
    Feb 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 8, 2025
    Area covered
    Worldwide
    Description

    In 2024, the Calorie Counter app had the largest number of collected data points possibly linked to the user identity. Out of the total 22 collected data types, 20 were linked to the users' identity, while seven data points could potentially be used to track users. Calorie counting app Eato did not display any of the collected data types that could potentially be used to track users. The iOS mobile app for the Weight Watchers Program collected seven different data points that were not linked to users.

  8. Apple iPhone unit sales worldwide 2007-2018, by quarter

    • statista.com
    Updated Jul 27, 2022
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    Statista (2022). Apple iPhone unit sales worldwide 2007-2018, by quarter [Dataset]. https://www.statista.com/statistics/263401/global-apple-iphone-sales-since-3rd-quarter-2007/
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    Dataset updated
    Jul 27, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    How many iPhones have been sold in 2018?

    In the fourth quarter of 2018 alone, Apple sold 46.89 million iPhones worldwide, a figure which slightly outpaced its sales from the corresponding quarter of 2017. In entire 2018, 217.72 million iPhones were shipped worldwide. Apple typically releases at least one new version of its iPhone each year, a strategy which has helped the company consistently pull in quarterly sales figures in the tens of millions. Apple stopped reporting iPhone unit sales at the end of fiscal year 2018; more recent shipment data can be found here.

    iPhone’s popularity

    As of 2019, estimates suggest that the United States is home to around 266 million smartphone users, cementing the country’s place as a major regional market within the industry. Of those U.S. based smartphone consumers, over 45 percent are Apple iPhone users. This market share figure speaks to the iPhone’s massive popularity within its domestic market, but how does the product fare internationally? At a global scale, Apple’s flagship product faces increased competition, especially from established Asian technology firms like Samsung, Huawei, and OPPO. Despite this, the iPhone has consistently ranked among the most popular devices in the world since its initial release in June 2007.

    Apple products

    Although the iPhone is the company’s biggest revenue generator by far, Apple offers a multitude of products across a variety of consumer electronics categories. The company’s products include everything from laptops to smartwatches, while additionally offering tech-related services such as an online payment platform and cloud storage.

  9. e

    Drinking and non-drinking water distribution furniture — Geographical data

    • data.europa.eu
    csv, esri shape +2
    Updated Jul 5, 2023
    + more versions
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    Ville de Paris (2023). Drinking and non-drinking water distribution furniture — Geographical data [Dataset]. https://data.europa.eu/data/datasets/536999f0a3a729239d20537d
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    csv, excel xls, json, esri shapeAvailable download formats
    Dataset updated
    Jul 5, 2023
    Dataset authored and provided by
    Ville de Paris
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    Vector-type data describing various water distribution points drinking or non-drinking: wallace fountain, fountain terminal, valve, mouth...

    **Example(s) of data reuse(s):
    ** — website and iPhone app http://www.eaupen.net

  10. M

    Mobile Web Analytics Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 15, 2025
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    Archive Market Research (2025). Mobile Web Analytics Report [Dataset]. https://www.archivemarketresearch.com/reports/mobile-web-analytics-58679
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

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

    The mobile web analytics market is experiencing robust growth, driven by the increasing adoption of mobile devices and the expanding digital landscape. The market, valued at $4,542.8 million in 2025, is projected to exhibit substantial expansion over the forecast period (2025-2033). While the provided CAGR is missing, considering the rapid advancements in mobile technology and the rising demand for data-driven decision-making in the mobile sector, a conservative estimate of a 15% CAGR is reasonable for this period. This suggests a significant market expansion, exceeding $15 billion by 2033. Key drivers include the need for businesses to understand user behavior on mobile websites to optimize user experience, improve conversion rates, and enhance marketing strategies. Furthermore, the proliferation of mobile advertising necessitates sophisticated analytics to measure campaign effectiveness. The growing adoption of AI and machine learning in analytics platforms further fuels this expansion, enabling businesses to gain deeper insights into user behavior and preferences. Segmentation within the market highlights the importance of both mobile app and mobile web analytics, with Android and iOS platforms leading the application-specific segment. Major players like Google, Facebook, Tencent, and others are heavily invested in providing advanced analytics solutions, contributing to market competition and innovation. Regional variations are expected, with North America and Asia-Pacific likely holding substantial market shares, driven by advanced digital infrastructures and high mobile penetration rates. However, growth in other regions, like Middle East & Africa and South America, is also anticipated as mobile technology adoption increases. Restraints might include data privacy concerns and the complexity of integrating analytics tools into existing business workflows. Nevertheless, the overall outlook for the mobile web analytics market is exceptionally positive, with continued growth expected as the digital ecosystem continues to evolve.

  11. Global Apple iPhone shares based on web usage 2019-2020, by model

    • statista.com
    Updated Jan 18, 2023
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    Statista (2023). Global Apple iPhone shares based on web usage 2019-2020, by model [Dataset]. https://www.statista.com/statistics/626631/smartphone-market-share-by-device-worldwide/
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    Dataset updated
    Jan 18, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    According to DeviceAtlas's data, Apple's iPhone 7 was the most popular iPhone model in 2020 with a 10.53 percent share in the overall global web usage . Among the other Apple smartphone models,iPhone 6S, iPhone 8, iPhone X and iPhone 6 enjoyed large share as well in that year. Apple was the vendor with the highest most smartphones sold globally as of the fourth quarter of 2020. This trend has been observed for the past couple of years, except for the third quarter of 2019, when Huawei generated more smartphone sales than Apple and therefore, ranked second.

     What part of Apple’s revenue comes from iPhones?  

    iPhone sales composed more than half of Apple’s global revenue in the first quarter of 2021. This was a large increase from the quarter before, but the peak was reached in the first quarter of 2018, when nearly 70 percent of the company’s revenue came from selling smartphones.

     Apple Pay   

    With digital payments getting more and more popular, the number of Apple Pay users has also increased in recent years. Apple Pay is a mobile payment and digital wallet service by apple, initially released in October 2014. As of September 2019, nearly half of global iPhone users were using the service.

  12. Z

    US Smartphones Market By Operating System (Android Smartphones, iOS...

    • zionmarketresearch.com
    pdf
    Updated May 18, 2025
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    Zion Market Research (2025). US Smartphones Market By Operating System (Android Smartphones, iOS Smartphones, and Others), By Price (High Range, Medium Range, and Low Range), By Sales Channel (Offline and Online), and By Country- Territory and State Industry Overview, Market Intelligence, Comprehensive Analysis, Historical Data, and Forecasts 2024 - 2032 [Dataset]. https://www.zionmarketresearch.com/report/us-smartphones-market
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    pdfAvailable download formats
    Dataset updated
    May 18, 2025
    Dataset authored and provided by
    Zion Market Research
    License

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

    Time period covered
    2022 - 2030
    Area covered
    Global
    Description

    The US smartphone market size was worth around USD 62.82 billion in 2023 and is predicted to grow to around USD 75.73 billion by 2032

  13. 5G Smartphone Sales Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
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    Dataintelo (2024). 5G Smartphone Sales Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-5g-smartphone-sales-market
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    csv, pdf, pptxAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    5G Smartphone Sales Market Outlook



    The global market size for 5G smartphone sales is projected to witness substantial growth, with an estimated value of approximately $100 billion in 2023, and is expected to reach around $200 billion by 2032, growing at a compound annual growth rate (CAGR) of 8%. This growth is primarily driven by the increasing adoption of 5G technology across various industries and the rising demand for high-speed internet connectivity among consumers. The proliferation of 5G networks globally is facilitating enhanced mobile broadband services, ultra-reliable low latency communications, and the Internet of Things (IoT), all of which are contributing significantly to the rising sales of 5G-enabled smartphones.



    One of the most significant growth factors for the 5G smartphone market is the rapid development and deployment of 5G infrastructure. Telecom companies worldwide are investing heavily in expanding their 5G networks, which is creating a robust ecosystem for 5G-enabled devices. The enhanced capabilities of 5G networks, such as faster download speeds, improved connectivity, and reduced latency, are increasing consumer interest and driving up demand for 5G smartphones. Additionally, governments in several countries are actively supporting the rollout of 5G technology by providing necessary regulatory approvals and facilitating spectrum auctions, further bolstering the market expansion.



    The rising demand for high-speed internet and data transmission capabilities among consumers is another crucial factor propelling the growth of the 5G smartphone market. In an era where digital consumption is at its peak, consumers are heavily reliant on smartphones for streaming high-definition content, engaging in video calls, and playing online games, all of which require fast and reliable internet connections. The superior performance and seamless connectivity offered by 5G smartphones are meeting these consumer expectations, leading to a significant upsurge in their adoption. Moreover, the pandemic has accelerated the digital transformation, with many individuals and enterprises adopting remote working and learning solutions, which further necessitates the use of advanced smartphones equipped with 5G technology.



    Technological advancements and innovation within the smartphone industry are also significant contributors to the market's growth. Smartphone manufacturers are continuously innovating to integrate advanced features and capabilities in their devices, such as improved cameras, enhanced processing power, and longer battery life, along with 5G support. These advancements not only enhance the overall user experience but also encourage consumers to upgrade to newer models, driving the sales of 5G smartphones. Furthermore, the increasing affordability of 5G smartphones, with manufacturers offering a wide range of options across different price segments, is making them accessible to a broader audience, further stimulating market growth.



    From a regional perspective, the Asia Pacific region is expected to dominate the 5G smartphone market over the forecast period. The rapid urbanization, growing middle-class population, and increasing disposable incomes in countries like China, India, and South Korea are significantly contributing to the rising demand for advanced smartphones. Additionally, the aggressive 5G network rollout strategies adopted by telecom operators in these regions are creating a conducive environment for the proliferation of 5G smartphones. North America and Europe are also witnessing substantial growth, driven by the high adoption rate of new technologies and the presence of major smartphone manufacturers. Meanwhile, the Latin American and Middle East & African regions are slowly catching up, with gradual improvements in their 5G infrastructure and growing consumer awareness of 5G benefits.



    Operating System Analysis



    The operating system segment of the 5G smartphone market comprises mainly Android, iOS, and others. Android-based 5G smartphones hold a significant market share, largely due to their widespread adoption and the variety of models available at different price points. Android's open-source nature allows a plethora of manufacturers to produce diverse 5G-enabled devices, catering to both budget-conscious consumers and premium segment seekers. This flexibility and range make Android smartphones particularly popular in emerging markets, where economic diversity is wider. Moreover, the constant updates and improvements in Android OS enhance the user experience, further boosting their sales.



    iOS, representing Apple’s iPhone

  14. Types of unique data points collection in selected iOS AI companion apps...

    • statista.com
    Updated Feb 26, 2025
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    Statista (2025). Types of unique data points collection in selected iOS AI companion apps 2025 [Dataset]. https://www.statista.com/statistics/1559635/collection-and-tracking-ios-ai-companion-apps/
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    Dataset updated
    Feb 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 6, 2025
    Area covered
    Worldwide
    Description

    As of february 2025, the Replika - AI Friend app presented 15 collected data points linked to the app user identity. The Kindroid app presented three data points that could primarly be used for tracking. EVA AI Chat & Clever Chatbot did not collect data that could potentialy track users.

  15. f

    Descriptive statistical analysis of the latest data.

    • figshare.com
    xls
    Updated May 16, 2025
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    Lin Sun; Yuting He; Feng Fu (2025). Descriptive statistical analysis of the latest data. [Dataset]. http://doi.org/10.1371/journal.pone.0323205.t004
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    xlsAvailable download formats
    Dataset updated
    May 16, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Lin Sun; Yuting He; Feng Fu
    License

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

    Description

    Descriptive statistical analysis of the latest data.

  16. f

    Descriptive statistical analysis and Pearson correlation coefficient.

    • plos.figshare.com
    xls
    Updated May 16, 2025
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    Lin Sun; Yuting He; Feng Fu (2025). Descriptive statistical analysis and Pearson correlation coefficient. [Dataset]. http://doi.org/10.1371/journal.pone.0323205.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 16, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Lin Sun; Yuting He; Feng Fu
    License

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

    Description

    Descriptive statistical analysis and Pearson correlation coefficient.

  17. f

    Robustness and endogeneity tests.

    • figshare.com
    • plos.figshare.com
    xls
    Updated May 16, 2025
    + more versions
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    Lin Sun; Yuting He; Feng Fu (2025). Robustness and endogeneity tests. [Dataset]. http://doi.org/10.1371/journal.pone.0323205.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 16, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Lin Sun; Yuting He; Feng Fu
    License

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

    Description

    Past studies have suggested that online reviews positively impact app innovation. However, extant research has not yet explored the distinct impacts of online negative and positive reviews on app innovation. Based on signaling theory and negative bias, this study empirically examines the effects of online negative reviews versus online positive reviews on app innovation by using panel data from the iOS App Store in China. The findings demonstrate that online negative reviews have a more positive influence on app innovation than online positive reviews. Additionally, compared with online positive reviews, app performance more effectively weakens the promoting effect of online negative reviews on app innovation. Moreover, both app history and platform owner’s entry play a positive moderating role in the impact of online negative reviews on app innovation, while no positive moderating effect is observed in the impact of online positive reviews on app innovation. These results demonstrate the different effects of online negative reviews and online positive reviews on app innovation, expand the contingent value of online reviews and app innovation.

  18. Facebook access penetration 2022, by device

    • statista.com
    Updated May 8, 2024
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    Statista (2024). Facebook access penetration 2022, by device [Dataset]. https://www.statista.com/statistics/377808/distribution-of-facebook-users-by-device/
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    Dataset updated
    May 8, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2022
    Area covered
    Worldwide
    Description

    Facebook is the leading social network worldwide, and its accessibility through multiple mobile apps as well as its mobile website. In January 2021, over 98 percent of active user accounts worldwide accessed the social network via any kind of mobile phone.

    Facebook in mobile-first markets India is thecountry with the largest Facebook audience by far, with 340 million users on the platform, followed the United States, Indonesia, and Brazil all of which have more than 100 million Facebook users each. With the exception of the United States, all of these are digital markets with mobile-first audiences. In many emerging markets, mobile is often the first online experience, providing online users with their first internet experience through inexpensive smartphones and mobile data contracts. In India and Indonesia, mobile by far surpasses desktop in terms of audiences and time spent.

    Mobile Facebook access Due to the social network’s wide reach on mobile, it is unsurprising that Facebook consistently ranks as one of the most-downloaded app publishers worldwide. Some of the apps published by Facebook include the eponymous social networking app (and its low-bandwidth version, Facebook Lite), Facebook Messenger (also available as Messenger Lite), Facebook Pages Manager and Facebook Local. In the Google Play Store, Facebook Messenger, Messenger Lite and Facebook frequently rank among the top downloaded apps every month.

  19. Global and U.S. market share of leading internet browsers 2025

    • statista.com
    Updated Mar 4, 2025
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    Statista (2025). Global and U.S. market share of leading internet browsers 2025 [Dataset]. https://www.statista.com/statistics/276738/worldwide-and-us-market-share-of-leading-internet-browsers/
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    Dataset updated
    Mar 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2025
    Area covered
    Worldwide
    Description

    As of March 2025, Google Chrome accounted for around 53 percent of overall internet browser market share in the United States. Seemingly the only competitor that could challenge Google Chrome’s position at the top of the U.S. market is Apple’s Safari browser, which accounted for an additional 32 percent of the market share at that time. No other web browsers reached even ten percent market share. Web browsers Web browsers serve as the vehicle through which users gain access to the World Wide Web. They allow users from around the world to access a huge variety of content including everything from entertainment sites, to social media, to online shopping. In recent years, social media sites such as Facebook have become some of the most frequently visited sites in the world, as users seek to keep up to date with the digital presence of their friends, families, and favorite celebrities. Types of browser Web browsers, and internet access in general, were initially only available to desktop computers, but as technology has advanced, browsers are becoming standard features of smartphones, TVs, and other consumer electronic devices. Today, Chrome for Android and Safari for iPhone rank among the most widely user web browsers in the world alongside their desktop counterparts.

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Statista (2024). U.S. iOS smartphone users noticing a tracking request when opening an app 2022 [Dataset]. https://www.statista.com/statistics/1420672/us-users-noticing-app-tracking-consent-by-os/
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U.S. iOS smartphone users noticing a tracking request when opening an app 2022

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Dataset updated
Sep 10, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Dec 2022
Area covered
United States
Description

According to a survey of mobile smartphone users conducted in December 2022 in the United States, over six in 10 iPhone users reported having noticed a consent request for extended tracking across the company's apps and websites. In comparison, 36 percent of respondents reported not having noticed such an option.

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