10 datasets found
  1. Global iPhone & Smartphone Market (2011-2023)

    • kaggle.com
    Updated Aug 12, 2024
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    MohamedFahim (2024). Global iPhone & Smartphone Market (2011-2023) [Dataset]. https://www.kaggle.com/datasets/mohamedfahim003/global-iphone-and-smartphone-market-2011-2023
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 12, 2024
    Dataset provided by
    Kaggle
    Authors
    MohamedFahim
    License

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

    Description

    This dataset offers a comprehensive overview of the iPhone's journey in the global smartphone market from 2010 to 2024 . It includes:

    📊 Number of iPhone Users: Total users worldwide and within the USA. 📈 Sales Figures: Yearly iPhone sales data. 🏆 Market Share: Comparison of iOS and Android market shares across years. This dataset is perfect for:

    Market forecasting and trend analysis. Competitive landscape studies between iOS and Android. Consumer behavior research in the tech industry. Whether you're a data scientist, market analyst, or tech enthusiast, this dataset provides valuable insights to support your research and projects.

  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. b

    App Store Data (2025)

    • businessofapps.com
    Updated Jan 12, 2021
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    Business of Apps (2021). App Store Data (2025) [Dataset]. https://www.businessofapps.com/data/app-stores/
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    Dataset updated
    Jan 12, 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 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...

  4. Apple iPhone sales worldwide 2007-2023

    • statista.com
    Updated May 30, 2024
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    Statista (2024). Apple iPhone sales worldwide 2007-2023 [Dataset]. https://www.statista.com/statistics/276306/global-apple-iphone-sales-since-fiscal-year-2007/
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    Dataset updated
    May 30, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The number of Apple iPhone unit sales dramatically increased between 2007 and 2023. Indeed, in 2007, when the iPhone was first introduced, Apple shipped around 1.4 million smartphones. By 2023, this number reached over 231 million units.

    The newest models and iPhone’s lasting popularity

    Apple has ventured into its 17th smartphone generation with its Phone 15 lineup, which, released in September 2023, includes the 15, 15 Plus, 15 Pro and Pro Max. Powered by the A16 bionic chip and running on iOS 17, these models present improved displays, cameras, and functionalities. On the one hand, such features come, however, with hefty price tags, namely, an average of 1,000 U.S. dollars. On the other hand, they contribute to making Apple among the leading smartphone vendors worldwide, along with Samsung and Xiaomi. In the first quarter of 2024, Samsung shipped over 60 million smartphones, while Apple recorded shipments of roughly 50 million units.

    Success of Apple’s other products

    Apart from the iPhone, which is Apple’s most profitable product, Apple is also the inventor of other heavy-weight players in the consumer electronics market. The Mac computer and the iPad, like the iPhone, are both pioneers in their respective markets and have helped popularize the use of PCs and tablets. The iPad is especially successful, having remained as the largest vendor in the tablet market ever since its debut. The hottest new Apple gadget is undoubtedly the Apple Watch, which is a line of smartwatches that has fitness tracking capabilities and can be integrated via iOS with other Apple products and services. The Apple Watch has also been staying ahead of other smart watch vendors since its initial release and secures around 50 percent of the market share as of the latest quarter.

  5. History of MAG7 stocks (20 years)

    • kaggle.com
    Updated Feb 13, 2025
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    IttiphoN (2025). History of MAG7 stocks (20 years) [Dataset]. https://www.kaggle.com/datasets/ittiphon/history-of-mag7-stocks-20-years
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 13, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    IttiphoN
    License

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

    Description

    1. Overview

    This dataset provides monthly stock price data for the MAG7 over the past 20 years (2004–2024). The data includes key financial metrics such as opening price, closing price, highest and lowest prices, trading volume, and percentage change. The dataset is valuable for financial analysis, stock trend forecasting, and portfolio optimization.

    2. What is MAG7 ?

    MAG7 refers to the seven largest and most influential technology companies in the U.S. stock market : - Microsoft (MSFT) - Apple (AAPL) - Google (Alphabet, GOOGL) - Amazon (AMZN) - Nvidia (NVDA) - Meta (META) - Tesla (TSLA)

    These companies are known for their market dominance, technological innovation, and significant impact on global stock indices such as the S&P 500 and Nasdaq-100.

    3. Dataset Details

    The dataset consists of historical monthly stock prices of MAG7, retrieved from Investing.com. It provides an overview of how these stocks have performed over two decades, reflecting market trends, economic cycles, and technological shifts.

    4. Columns Descriptions

    • Date The recorded month and year (DD-MM-YYYY)
    • Price The closing price of the stock at the end of the month
    • Open The price at which the stock opened at the beginning of the month
    • High The highest stock price recorded in the month
    • Low The lowest stock price recorded in the month
    • Vol. The total trading volume for the month
    • Change % The percentage change in stock price compared to the previous month # 5. Data Source & Format The dataset was obtained from Investing.com and downloaded in CSV format. The data has been processed to ensure consistency and accuracy, with date formats standardized for time-series analysis. # 6. Potential Use Cases This dataset can be used for :
    • 📈 Stock price trend analysis over 20 years
    • 📊 Building financial models for long-term investing
    • 🔎 Machine learning applications in stock market prediction
    • 📉 Evaluating market volatility and economic impact on MAG7 stocks

    7. Limitations & Considerations

    • ⚠️ The dataset is limited to monthly data, meaning short-term price fluctuations are not captured.
    • ⚠️ Trading volume (Vol.) may vary in availability due to differences in reporting.
    • ⚠️ External factors such as stock splits, dividends, and market crashes are not explicitly noted but may impact historical trends.
  6. Apple iPhone sales revenue 2007-2025

    • statista.com
    • ai-chatbox.pro
    Updated Feb 24, 2025
    + more versions
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    Statista (2025). Apple iPhone sales revenue 2007-2025 [Dataset]. https://www.statista.com/statistics/263402/apples-iphone-revenue-since-3rd-quarter-2007/
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    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In the first quarter of its 2025 fiscal year, Apple generated around 69 billion U.S. dollars in revenue from the sales of iPhones. Apple iPhone revenue The Apple iPhone is one of the biggest success stories in the smartphone industry. Since its introduction to the market in 2007, Apple has sold more than 1.5 billion units worldwide. As of the third quarter of 2024, the Apple iPhone’s market share of new smartphone sales was over 16 percent. Much of its accomplishments can be attributed to Apple’s ability to keep the product competitive throughout the years, with new releases and updates. Apple iPhone growth The iPhone has shown to be a crucial product for Apple, considering that the iPhone’s share of the company’s total revenue has consistently grown over the years. In the first quarter of 2009, the iPhone sales were responsible for about a quarter of Apple’s revenue. In the third quarter of FY 2024, this figure reached a high of roughly 50 percent, equating to less than 40 billion U.S. dollars in that quarter. In terms of units sold, Apple went from around 55.8 million units in 2010 to about 232 million in 2023, but registered a peak in the fourth quarter of 2020 with more than 90 million iPhones sold worldwide.

  7. J

    Measurement of industry conduct with a latent structure (replication data)

    • journaldata.zbw.eu
    • jda-test.zbw.eu
    txt
    Updated Dec 8, 2022
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    Jill J. McCluskey; Kwamena K. Quagrainie; Jill J. McCluskey; Kwamena K. Quagrainie (2022). Measurement of industry conduct with a latent structure (replication data) [Dataset]. http://doi.org/10.15456/jae.2022319.0708562798
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    txt(2407), txt(112176)Available download formats
    Dataset updated
    Dec 8, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Jill J. McCluskey; Kwamena K. Quagrainie; Jill J. McCluskey; Kwamena K. Quagrainie
    License

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

    Description

    Empirical industrial organization economists have long been concerned with measuring the degree of competition in markets and understanding its underlying determinants, but they have faced serious difficulties, including data requirements and misspecification issues. This paper offers an alternative method of estimating market power and industry conduct. Market power is estimated for the fresh apple industry with a latent modelling structure. Specifically, variations of the MIMIC model are adapted to this problem. These variations are the multiple-indicators (MI) and the filtered-measure (FM) approaches. The results suggest that although the Washington apple industry has a large market share, it does not exercise market power. Factors that mitigate the exertion of market power in the fresh apple market include competitor shipments and retailer power.

  8. D

    Deep Learning Market Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Dec 19, 2024
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    Pro Market Reports (2024). Deep Learning Market Report [Dataset]. https://www.promarketreports.com/reports/deep-learning-market-8485
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Dec 19, 2024
    Dataset authored and provided by
    Pro Market Reports
    License

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

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

    Deep Learning as a Service (DaaS): DaaS enables businesses to access deep learning capabilities without managing the infrastructure or technical expertise required for on-premises deployment.Development Tools: Deep learning development tools include frameworks, libraries, and optimizers that facilitate the development and training of deep learning models.Pre-Trained Models: Pre-trained models offer a starting point for developers, providing a baseline for training models on specific tasks, saving time and resources.Hardware: Specialized hardware, such as GPUs and TPUs, are designed to accelerate deep learning computations and reduce training time.Consulting and Support: Consulting and support services provide guidance and assistance to businesses in implementing deep learning solutions effectively. Recent developments include: In March 2024, GE Healthcare started a partnership with NVIDIA for the purpose of integrating their AI technology and software into GE Healthcare’s medical imaging expertise in developing their accurate ultrasound diagnostic service., In November 2023, AIRS Medical teamed up with FONAR to enable SwiftMR, which is an MRI medical product that was previously applied to 1.5T and 3.0T MRIs only, run on lower-field MRI scanners. The collaboration would strengthen the company’s business operations in relation to SwiftMR, primarily in the US., In July 2023, Aiforia announced a tie-up with Orion for the development of AI-based image analysis solutions meant for different preclinical research and product development purposes., NVIDIA made an investment of $50m to Recursion Pharmaceuticals in July 2023 with plans to make artificial intelligence-supported drug discovery models., Google launched two AI-powered tools, Multiomics Suite and Target and Lead Identification Suite, in May 2023 aimed at expediting drug discovery under precision medicine., VantAI entered into an agreement with Bristol Myers Squibb in February 2024, allowing it to combine its deep learning capabilities with the latter’s targeted protein degradation skills for discovering/designing/developing molecular glues/novel small molecule therapeutics., Deep Apple Therapeutics, launched by Apple Tree Partners in December 2023 after a series A funding round worth $52 million, will apply deep learning models as the tool to speed up drug development. This discovery engine (Deep Apple Therapeutics) aims at shortening the process of identifying targets from lead optimization across different diseases within one year only., For example, Wayve, a London-based start-up, raised $200 million in January 2022 to create deep learning techniques capable of training Artificial Intelligence algorithms used for complex driving situations among these firms., Also, SEER (Self-supERvised), a Facebook invention on Deep Learning solution, was developed in March 2021. It can autonomously work up its way through the dataset and can be able to learn from any random group of unlabeled images on the internet.. Potential restraints include: RAPID INTRODUCTION OF NEW TECHNOLOGIES 36, RESTRAINT IMPACT ANALYSIS 37. Notable trends are: Robotic process automation is being adopted more widely, and the IPA industry is receiving more investment will boost the market growth.

  9. Global smartphone unit shipments of Samsung 2010-2024, by quarter

    • statista.com
    • ai-chatbox.pro
    Updated Jan 14, 2025
    + more versions
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    Statista (2025). Global smartphone unit shipments of Samsung 2010-2024, by quarter [Dataset]. https://www.statista.com/statistics/299144/samsung-smartphone-shipments-worldwide/
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    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In the fourth quarter of 2024, Samsung shipped around 52 million smartphones, a decrease from the both the previous quarter and the same quarter of the previous year. Samsung’s sales consistently place the smartphone giant among the top three smartphone vendors in the world, alongside Xiaomi and Apple. Samsung smartphone sales – how many phones does Samsung sell? Global smartphone sales reached over 1.2 billion units during 2024. While the global smartphone market is led by Samsung and Apple, Xiaomi has gained ground following the decline of Huawei. Together, these three companies hold more than 50 percent of the global smartphone market share.

  10. Penetration rate of smartphones in the Philippines 2014-2029

    • statista.com
    Updated Jun 17, 2024
    + more versions
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    Statista Research Department (2024). Penetration rate of smartphones in the Philippines 2014-2029 [Dataset]. https://www.statista.com/topics/8230/smartphones-market-in-the-philippines/
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    Dataset updated
    Jun 17, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Philippines
    Description

    The smartphone penetration in the Philippines was forecast to continuously decrease between 2024 and 2029 by in total 6.4 percentage points. According to this forecast, in 2029, the penetration will have decreased for the fourth consecutive year to 65.75 percent. The penetration rate refers to the share of the total population.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 smartphone penetration in countries like Laos and Malaysia.

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    Learn how you can add new datasets to our index.

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MohamedFahim (2024). Global iPhone & Smartphone Market (2011-2023) [Dataset]. https://www.kaggle.com/datasets/mohamedfahim003/global-iphone-and-smartphone-market-2011-2023
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Global iPhone & Smartphone Market (2011-2023)

Analyzing iPhone Sales, Market Share, and Global Trends in the Smartphone Indust

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Aug 12, 2024
Dataset provided by
Kaggle
Authors
MohamedFahim
License

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

Description

This dataset offers a comprehensive overview of the iPhone's journey in the global smartphone market from 2010 to 2024 . It includes:

📊 Number of iPhone Users: Total users worldwide and within the USA. 📈 Sales Figures: Yearly iPhone sales data. 🏆 Market Share: Comparison of iOS and Android market shares across years. This dataset is perfect for:

Market forecasting and trend analysis. Competitive landscape studies between iOS and Android. Consumer behavior research in the tech industry. Whether you're a data scientist, market analyst, or tech enthusiast, this dataset provides valuable insights to support your research and projects.

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