62 datasets found
  1. b

    Apple Statistics (2025)

    • businessofapps.com
    Updated Jul 20, 2025
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    Business of Apps (2025). Apple Statistics (2025) [Dataset]. https://www.businessofapps.com/data/apple-statistics/
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    Dataset updated
    Jul 20, 2025
    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...

  2. Number of smartphone users in the United States 2014-2029

    • statista.com
    Updated May 5, 2025
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    Statista Research Department (2025). Number of smartphone users in the United States 2014-2029 [Dataset]. https://www.statista.com/topics/2711/us-smartphone-market/
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    Dataset updated
    May 5, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The number of smartphone users in the United States was forecast to continuously increase between 2024 and 2029 by in total 17.4 million users (+5.61 percent). After the fifteenth consecutive increasing year, the smartphone user base is estimated to reach 327.54 million users and therefore a new peak in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.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 smartphone users in countries like Mexico and Canada.

  3. Global iPhone 14 adoption rate 2023-2025, by model

    • statista.com
    Updated Mar 31, 2025
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    Ahmed Sherif (2025). Global iPhone 14 adoption rate 2023-2025, by model [Dataset]. https://www.statista.com/topics/870/iphone/
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    Dataset updated
    Mar 31, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Ahmed Sherif
    Description

    The iPhone 14 lineup was released in September 2022. As of March 2025, the iPhone 14 recorded the highest adoption rate among the models, amounting to over six percent. The iPhone 14 Pro Max followed, with an adoption rate of 5.77 percent.

  4. c

    Apple iPhone SE reviews & ratings Dataset

    • cubig.ai
    zip
    Updated Feb 25, 2025
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    CUBIG (2025). Apple iPhone SE reviews & ratings Dataset [Dataset]. https://cubig.ai/store/products/143/apple-iphone-se-reviews-ratings-dataset
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    zipAvailable download formats
    Dataset updated
    Feb 25, 2025
    Dataset authored and provided by
    CUBIG
    License

    https://cubig.ai/store/terms-of-servicehttps://cubig.ai/store/terms-of-service

    Measurement technique
    Synthetic data generation using AI techniques for model training, Privacy-preserving data transformation via differential privacy
    Description

    1) Data introduction • Apple-iphone-se-reviews dataset is a dataset that scrapes data from the Flipkart website using Selenium and BeautifulSoup links.

    2) Data utilization (1)Apple-iphone-se-reviews data has characteristics that: • User ratings for Apple iPhone SE on Indian e-commerce website Flipkart are . We aim at NLP text classification through user ratings, review titles, and review text. (2)Apple-iphone-se-reviews data can be used to: • Rating prediction: You can support automated review analysis and summarization by developing machine learning models to predict ratings based on review text. • Product Improvement: Insights gained from reviews can help us identify common issues and areas for improvement in iPhone SE and guide product development and quality improvements.

  5. Global iPhone 13 adoption rate 2021-2025, by model

    • statista.com
    Updated Mar 31, 2025
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    Ahmed Sherif (2025). Global iPhone 13 adoption rate 2021-2025, by model [Dataset]. https://www.statista.com/topics/870/iphone/
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    Dataset updated
    Mar 31, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Ahmed Sherif
    Description

    The iPhone 13 lineup came out in September 2021. Since then, the adoption rate of the iPhone 13 models varied. As of March 2025, the iPhone 13 recorded an adoption rate of 10.18 percent, followed by the iPhone 13 Pro Max, with 4.73 percent.

  6. f

    Dataset.

    • plos.figshare.com
    xlsx
    Updated Oct 25, 2023
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    Jennifer J. Lee; Mavra Ahmed; Rim Mouhaffel; Mary R. L’Abbé (2023). Dataset. [Dataset]. http://doi.org/10.1371/journal.pdig.0000360.s005
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    xlsxAvailable download formats
    Dataset updated
    Oct 25, 2023
    Dataset provided by
    PLOS Digital Health
    Authors
    Jennifer J. Lee; Mavra Ahmed; Rim Mouhaffel; Mary R. L’Abbé
    License

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

    Description

    There has been an increased emphasis on plant-based foods and diets. Although mobile technology has the potential to be a convenient and innovative tool to help consumers adhere to dietary guidelines, little is known about the content and quality of free, popular mobile health (mHealth) plant-based diet apps. The objective of the study was to assess the content and quality of free, popular mHealth apps supporting plant-based diets for Canadians. Free mHealth apps with high user ratings, a high number of user ratings, available on both Apple App and GooglePlay stores, and primarily marketed to help users follow plant-based diet were included. Using pre-defined search terms, Apple App and GooglePlay App stores were searched on December 22, 2020; the top 100 returns for each search term were screened for eligibility. Included apps were downloaded and assessed for quality by three dietitians/nutrition research assistants using the Mobile App Rating Scale (MARS) and the App Quality Evaluation (AQEL) scale. Of the 998 apps screened, 16 apps (mean user ratings±SEM: 4.6±0.1) met the eligibility criteria, comprising 10 recipe managers and meal planners, 2 food scanners, 2 community builders, 1 restaurant identifier, and 1 sustainability assessor. All included apps targeted the general population and focused on changing behaviors using education (15 apps), skills training (9 apps), and/or goal setting (4 apps). Although MARS (scale: 1–5) revealed overall adequate app quality scores (3.8±0.1), domain-specific assessments revealed high functionality (4.0±0.1) and aesthetic (4.0±0.2), but low credibility scores (2.4±0.1). The AQEL (scale: 0–10) revealed overall low score in support of knowledge acquisition (4.5±0.4) and adequate scores in other nutrition-focused domains (6.1–7.6). Despite a variety of free plant-based apps available with different focuses to help Canadians follow plant-based diets, our findings suggest a need for increased credibility and additional resources to complement the low support of knowledge acquisition among currently available plant-based apps. This research received no specific grant from any funding agency.

  7. b

    App Store Data (2025)

    • businessofapps.com
    Updated Aug 1, 2025
    + more versions
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    Business of Apps (2025). App Store Data (2025) [Dataset]. https://www.businessofapps.com/data/app-stores/
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    Dataset updated
    Aug 1, 2025
    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 App Store Key StatisticsApps & Games in the Apple App StoreApps in the Apple App StoreGames in the Apple App StoreMost Popular Apple App Store CategoriesPaid vs Free Apps in Apple App...

  8. R

    Person,apple,lemon Dataset

    • universe.roboflow.com
    zip
    Updated Oct 19, 2021
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    hsoh0003@student.monash.edu (2021). Person,apple,lemon Dataset [Dataset]. https://universe.roboflow.com/hsoh0003-student-monash-edu/person-apple-lemon/dataset/1
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    zipAvailable download formats
    Dataset updated
    Oct 19, 2021
    Dataset authored and provided by
    hsoh0003@student.monash.edu
    License

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

    Variables measured
    Person Lemon Apple Bounding Boxes
    Description

    Here are a few use cases for this project:

    1. Grocery Store Automation: The model can be employed in automated systems within grocery or fruit stores to identify if a person is picking up apples or lemons. This could serve in real-time inventory management and loss prevention.

    2. Health & Wellness Applications: This model could be used in health and diet-based applications to track and count the number of apples or lemons a user consumes, further providing insights about their daily fruit intake.

    3. Interactive Educational Games: The model can be leveraged to develop interactive, educational games where children or adults need to identify and count the number of persons, apples, or lemons in an image.

    4. Surveillance Systems in Farming: The model could be beneficial in monitoring orchards of apple and lemon trees for signs of harvesting or any unusual activity.

    5. New AI Training: The model's output could be used as input to other AI models for complex tasks, for instance, recognizing actions such as a person eating an apple or a lemon.

  9. m

    Apple Inc - Ebit-Interest-Coverage

    • macro-rankings.com
    csv, excel
    Updated Sep 12, 2025
    + more versions
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    macro-rankings (2025). Apple Inc - Ebit-Interest-Coverage [Dataset]. https://www.macro-rankings.com/Markets/Stocks/AAPL-NASDAQ/Ebit-Interest-Coverage
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    excel, csvAvailable download formats
    Dataset updated
    Sep 12, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Ebit-Interest-Coverage Time Series for Apple Inc. Apple Inc. designs, manufactures, and markets smartphones, personal computers, tablets, wearables, and accessories worldwide. The company offers iPhone, a line of smartphones; Mac, a line of personal computers; iPad, a line of multi-purpose tablets; and wearables, home, and accessories comprising AirPods, Apple TV, Apple Watch, Beats products, and HomePod. It also provides AppleCare support and cloud services; and operates various platforms, including the App Store that allow customers to discover and download applications and digital content, such as books, music, video, games, and podcasts, as well as advertising services include third-party licensing arrangements and its own advertising platforms. In addition, the company offers various subscription-based services, such as Apple Arcade, a game subscription service; Apple Fitness+, a personalized fitness service; Apple Music, which offers users a curated listening experience with on-demand radio stations; Apple News+, a subscription news and magazine service; Apple TV+, which offers exclusive original content; Apple Card, a co-branded credit card; and Apple Pay, a cashless payment service, as well as licenses its intellectual property. The company serves consumers, and small and mid-sized businesses; and the education, enterprise, and government markets. It distributes third-party applications for its products through the App Store. The company also sells its products through its retail and online stores, and direct sales force; and third-party cellular network carriers, wholesalers, retailers, and resellers. Apple Inc. was founded in 1976 and is headquartered in Cupertino, California.

  10. m

    Apple Inc - Cash-and-Equivalents

    • macro-rankings.com
    csv, excel
    Updated Jul 23, 2025
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    macro-rankings (2025). Apple Inc - Cash-and-Equivalents [Dataset]. https://www.macro-rankings.com/Markets/Stocks?Entity=AAPL.US&Item=Cash-and-Equivalents
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    csv, excelAvailable download formats
    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Cash-and-Equivalents Time Series for Apple Inc. Apple Inc. designs, manufactures, and markets smartphones, personal computers, tablets, wearables, and accessories worldwide. The company offers iPhone, a line of smartphones; Mac, a line of personal computers; iPad, a line of multi-purpose tablets; and wearables, home, and accessories comprising AirPods, Apple TV, Apple Watch, Beats products, and HomePod. It also provides AppleCare support and cloud services; and operates various platforms, including the App Store that allow customers to discover and download applications and digital content, such as books, music, video, games, and podcasts, as well as advertising services include third-party licensing arrangements and its own advertising platforms. In addition, the company offers various subscription-based services, such as Apple Arcade, a game subscription service; Apple Fitness+, a personalized fitness service; Apple Music, which offers users a curated listening experience with on-demand radio stations; Apple News+, a subscription news and magazine service; Apple TV+, which offers exclusive original content; Apple Card, a co-branded credit card; and Apple Pay, a cashless payment service, as well as licenses its intellectual property. The company serves consumers, and small and mid-sized businesses; and the education, enterprise, and government markets. It distributes third-party applications for its products through the App Store. The company also sells its products through its retail and online stores, and direct sales force; and third-party cellular network carriers, wholesalers, retailers, and resellers. Apple Inc. was founded in 1976 and is headquartered in Cupertino, California.

  11. m

    Apple Inc - Current-Deferred-Revenue

    • macro-rankings.com
    csv, excel
    Updated Jul 24, 2025
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    macro-rankings (2025). Apple Inc - Current-Deferred-Revenue [Dataset]. https://www.macro-rankings.com/markets/stocks/aapl-nasdaq/balance-sheet/current-deferred-revenue
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    excel, csvAvailable download formats
    Dataset updated
    Jul 24, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Current-Deferred-Revenue Time Series for Apple Inc. Apple Inc. designs, manufactures, and markets smartphones, personal computers, tablets, wearables, and accessories worldwide. The company offers iPhone, a line of smartphones; Mac, a line of personal computers; iPad, a line of multi-purpose tablets; and wearables, home, and accessories comprising AirPods, Apple TV, Apple Watch, Beats products, and HomePod. It also provides AppleCare support and cloud services; and operates various platforms, including the App Store that allow customers to discover and download applications and digital content, such as books, music, video, games, and podcasts, as well as advertising services include third-party licensing arrangements and its own advertising platforms. In addition, the company offers various subscription-based services, such as Apple Arcade, a game subscription service; Apple Fitness+, a personalized fitness service; Apple Music, which offers users a curated listening experience with on-demand radio stations; Apple News+, a subscription news and magazine service; Apple TV+, which offers exclusive original content; Apple Card, a co-branded credit card; and Apple Pay, a cashless payment service, as well as licenses its intellectual property. The company serves consumers, and small and mid-sized businesses; and the education, enterprise, and government markets. It distributes third-party applications for its products through the App Store. The company also sells its products through its retail and online stores, and direct sales force; and third-party cellular network carriers, wholesalers, retailers, and resellers. Apple Inc. was founded in 1976 and is headquartered in Cupertino, California.

  12. m

    Mobile Web Clickstream | 1st Party | 3B+ events verified, US consumers |...

    • omnitrafficdata.mfour.com
    • datarade.ai
    Updated Aug 1, 2021
    + more versions
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    MFour (2021). Mobile Web Clickstream | 1st Party | 3B+ events verified, US consumers | Safari, Chrome, any iOS or Android [Dataset]. https://omnitrafficdata.mfour.com/products/mobile-web-clickstream-1st-party-3b-events-verified-us-mfour
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    Dataset updated
    Aug 1, 2021
    Dataset authored and provided by
    MFour
    Area covered
    United States
    Description

    This dataset encompasses mobile web clickstream behavior on any browser, collected from over 150,000 triple-opt-in first-party US Daily Active Users (DAU). Use it for measurement, attribution or path to purchase and consumer journey understanding. Full URL deliverable available including searches.

  13. M

    Apple Mobility Data - COVID-19 Mobility Trends Report

    • catalog.midasnetwork.us
    csv
    Updated Apr 3, 2022
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    Apple (2022). Apple Mobility Data - COVID-19 Mobility Trends Report [Dataset]. https://catalog.midasnetwork.us/collection/87
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    csvAvailable download formats
    Dataset updated
    Apr 3, 2022
    Dataset provided by
    MIDAS COORDINATION CENTER
    Authors
    Apple
    License

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

    Area covered
    Region, Country, County, First-order administrative division, City
    Variables measured
    Viruses, disease, COVID-19, behavior, pathogen, Homo sapiens, host organism, infectious disease, viral Infectious disease, vaccine-preventable Disease, and 3 more
    Dataset funded by
    National Institute of General Medical Sciences
    Description

    Dataset contains daily COVID‑19 mobility trends reports. It features daily changes in requests for directions by transportation type for all available country, regions, sub-regions, and cities. There is no demographic information about users, so no statements are available about the representativeness of usage against the overall population. The full data can be downloaded as a CSV. Data is compared to a baseline volume, which is usage on January 13, 2020. Website also includes visualization that displays daily usage data and can be filtered to display any region in the dataset.

  14. m

    Apple Inc - Other-Current-Assets

    • macro-rankings.com
    csv, excel
    Updated Jul 24, 2025
    + more versions
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    macro-rankings (2025). Apple Inc - Other-Current-Assets [Dataset]. https://www.macro-rankings.com/Markets/Stocks?Entity=AAPL.US&Item=Other-Current-Assets
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    csv, excelAvailable download formats
    Dataset updated
    Jul 24, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Other-Current-Assets Time Series for Apple Inc. Apple Inc. designs, manufactures, and markets smartphones, personal computers, tablets, wearables, and accessories worldwide. The company offers iPhone, a line of smartphones; Mac, a line of personal computers; iPad, a line of multi-purpose tablets; and wearables, home, and accessories comprising AirPods, Apple TV, Apple Watch, Beats products, and HomePod. It also provides AppleCare support and cloud services; and operates various platforms, including the App Store that allow customers to discover and download applications and digital content, such as books, music, video, games, and podcasts, as well as advertising services include third-party licensing arrangements and its own advertising platforms. In addition, the company offers various subscription-based services, such as Apple Arcade, a game subscription service; Apple Fitness+, a personalized fitness service; Apple Music, which offers users a curated listening experience with on-demand radio stations; Apple News+, a subscription news and magazine service; Apple TV+, which offers exclusive original content; Apple Card, a co-branded credit card; and Apple Pay, a cashless payment service, as well as licenses its intellectual property. The company serves consumers, and small and mid-sized businesses; and the education, enterprise, and government markets. It distributes third-party applications for its products through the App Store. The company also sells its products through its retail and online stores, and direct sales force; and third-party cellular network carriers, wholesalers, retailers, and resellers. Apple Inc. was founded in 1976 and is headquartered in Cupertino, California.

  15. m

    Apple Inc - Share-of-Periods-With-Dividend-Payments-In-Percent

    • macro-rankings.com
    csv, excel
    Updated Mar 17, 2025
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    macro-rankings (2025). Apple Inc - Share-of-Periods-With-Dividend-Payments-In-Percent [Dataset]. https://www.macro-rankings.com/Markets/Stocks?Entity=AAPL.US&Item=Share-of-Periods-With-Dividend-Payments-In-Percent
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    excel, csvAvailable download formats
    Dataset updated
    Mar 17, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Share-of-Periods-With-Dividend-Payments-In-Percent Time Series for Apple Inc. Apple Inc. designs, manufactures, and markets smartphones, personal computers, tablets, wearables, and accessories worldwide. The company offers iPhone, a line of smartphones; Mac, a line of personal computers; iPad, a line of multi-purpose tablets; and wearables, home, and accessories comprising AirPods, Apple TV, Apple Watch, Beats products, and HomePod. It also provides AppleCare support and cloud services; and operates various platforms, including the App Store that allow customers to discover and download applications and digital content, such as books, music, video, games, and podcasts, as well as advertising services include third-party licensing arrangements and its own advertising platforms. In addition, the company offers various subscription-based services, such as Apple Arcade, a game subscription service; Apple Fitness+, a personalized fitness service; Apple Music, which offers users a curated listening experience with on-demand radio stations; Apple News+, a subscription news and magazine service; Apple TV+, which offers exclusive original content; Apple Card, a co-branded credit card; and Apple Pay, a cashless payment service, as well as licenses its intellectual property. The company serves consumers, and small and mid-sized businesses; and the education, enterprise, and government markets. It distributes third-party applications for its products through the App Store. The company also sells its products through its retail and online stores, and direct sales force; and third-party cellular network carriers, wholesalers, retailers, and resellers. Apple Inc. was founded in 1976 and is headquartered in Cupertino, California.

  16. Numeral Gestures recorded on iOS

    • kaggle.com
    Updated Aug 24, 2017
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    Philip Corr (2017). Numeral Gestures recorded on iOS [Dataset]. https://www.kaggle.com/corrphilip/numeral-gestures/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 24, 2017
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Philip Corr
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    This dataset was recorded as part of an investigation into machine learning algorithms for iOS. 20,136 glyphs were drawn by 257 subjects on the touch screen of an iPhone 6.

    An iOS app was developed to record the dataset. Firstly, subjects entered their age, sex, nationality and handedness. Each subject was then instructed to draw the digits 0 to 9 on the touchscreen using their index finger and thumb. This was repeated four times for each subject resulting in 80 glyphs drawn per subject, 40 using index finger and 40 using thumb. The sequence of glyph entry was random. Instructions to the user were provided using voice synthesis to avoid suggesting a specific glyph rendering.

    The index finger and thumb were both used to account for situations in which the subject may only have one hand free. The aim here was to train a model that could accurately classify the glyph drawn in as many real life scenarios as possible.

    Cubic interpolation of touches during gesture input was rendered on the screen to provide visual feedback to the subject and to compute arclengths. The screen was initially blank (white) and the gestures were displayed in black. The subject could use most of screen to draw with small areas at the top and bottom reserved for instructions/interactions/guidance. The subject was permitted to erase and repeat the entry, if desired.

    Content

    https://raw.githubusercontent.com/PhilipCorr/numeral-gesture-dataset/master/database.png" alt="Database Schema">

    The database consists of 4 tables as seen in the schema. The tables are Subject, Glyph, Stroke and Touch. This is a logical structure as each subject draws 80 glyphs, each glyph consists of a number of strokes and each stroke consists of a number of touches. The four tables are presented in csv format and sqlite format.

    Note that, in the files below, all columns start with a capital Z. This is automatically prepended to column names by Core Data, apples database framework. Column names which start with Z_ were automatically created by Core Data and hence, do not appear in the schema above.

    The tables are connected through the first column in each table (Z_PK). This primary key links to the relevant column name in the next table. For example, the subject that entered any given glyph can be found by taking the value from the ZSUBJECT column in the glyph table and finding the matching Z_PK value in the subject table.

    Some questions to get you started...

    • What is the best model for classifying glyphs?
    • What is the best model for classifying sequences of these glyphs?
    • What is the best model to predict what number a glyph is before completion?
    • How much of the glyph needs to be completed before a prediction can be made?
    • What is the best method for interpolating between the touches in the dataset?
    • How can a trained model be integrated into iOS apps?

    CITATION REQUEST

    Please cite the following paper in any publications reporting on use of this dataset:

    Philip J. Corr, Guenole C. Silvestre, Chris J. Bleakley Open Source Dataset and Deep Learning Models for Online Digit Gesture Recognition on Touchscreens Irish Machine Vision and Image Processing Conference (IMVIP) 2017 Maynooth, Ireland, 30 August-1 September 2017 http://arxiv.org/abs/1709.06871

  17. Smartphone use and smartphone habits by gender and age group, inactive

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Jun 22, 2021
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    Government of Canada, Statistics Canada (2021). Smartphone use and smartphone habits by gender and age group, inactive [Dataset]. http://doi.org/10.25318/2210011501-eng
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    Dataset updated
    Jun 22, 2021
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Percentage of smartphone users by selected smartphone use habits in a typical day.

  18. Apple App Store: number of available apps Q2 2024, by category

    • statista.com
    Updated Mar 31, 2025
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    Statista Research Department (2025). Apple App Store: number of available apps Q2 2024, by category [Dataset]. https://www.statista.com/topics/870/iphone/
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    Dataset updated
    Mar 31, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    In the second quarter of 2024, the Apple App Store hosted and distributed approximately 183,000 gaming apps, making it the largest category of mobile apps on the platform. Business apps ranked second, with 156,335 iOS apps hosted and distributed in the Apple App Store. The developer tools category hosted the smallest number of iOS apps on the platform, with around 2,207 mobile titles distributed to global iOS users.

  19. N

    Apple Valley, CA Annual Population and Growth Analysis Dataset: A...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). Apple Valley, CA Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Apple Valley from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/apple-valley-ca-population-by-year/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Apple Valley, California
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Apple Valley population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Apple Valley across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of Apple Valley was 75,036, a 0.41% decrease year-by-year from 2022. Previously, in 2022, Apple Valley population was 75,345, a decline of 0.65% compared to a population of 75,840 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Apple Valley increased by 20,441. In this period, the peak population was 75,858 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the Apple Valley is shown in this column.
    • Year on Year Change: This column displays the change in Apple Valley population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Apple Valley Population by Year. You can refer the same here

  20. Z

    [Dataset] Quality of Experience Measurements of Multipath TCP Applications...

    • data.niaid.nih.gov
    Updated Jul 22, 2024
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    Keller, Katharina; Felka, Patrick; Fornoff, Jan; Hinz, Oliver; Rizk, Amr (2024). [Dataset] Quality of Experience Measurements of Multipath TCP Applications on iOS Mobile Devices [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3753894
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    Dataset updated
    Jul 22, 2024
    Dataset provided by
    Universität Ulm
    Technische Universität Darmstadt
    Goethe University Frankfurt
    Authors
    Keller, Katharina; Felka, Patrick; Fornoff, Jan; Hinz, Oliver; Rizk, Amr
    License

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

    Description

    This dataset is related to the publication “Quality of Experience Measurements of Multipath TCP Applications on iOS Mobile Devices” (Katharina Keller, Patrick Felka, Jan Fornoff, Oliver Hinz, Amr Rizk) MMSYS 2020.

Share
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Business of Apps (2025). Apple Statistics (2025) [Dataset]. https://www.businessofapps.com/data/apple-statistics/

Apple Statistics (2025)

Explore at:
49 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 20, 2025
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...

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