28 datasets found
  1. Mobiles Dataset (2025)

    • kaggle.com
    zip
    Updated Feb 18, 2025
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    Abdul Malik (2025). Mobiles Dataset (2025) [Dataset]. https://www.kaggle.com/datasets/abdulmalik1518/mobiles-dataset-2025
    Explore at:
    zip(20314 bytes)Available download formats
    Dataset updated
    Feb 18, 2025
    Authors
    Abdul Malik
    License

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

    Description

    This dataset contains detailed specifications and official launch prices of various mobile phone models from different companies. It provides insights into smartphone hardware, pricing trends, and brand competitiveness across multiple countries. The dataset includes key features such as RAM, camera specifications, battery capacity, processor details, and screen size.

    One important aspect of this dataset is the pricing information. The recorded prices represent the official launch prices of the mobile phones at the time they were first introduced in the market. Prices vary based on the country and the launch period, meaning older models reflect their original launch prices, while newer models include their most recent launch prices. This makes the dataset valuable for studying price trends over time and comparing smartphone affordability across different regions.

    Features:

    • Company Name: The brand or manufacturer of the mobile phone.
    • Model Name: The specific model of the smartphone.
    • Mobile Weight: The weight of the mobile phone (in grams).
    • RAM: The amount of Random Access Memory (RAM) in the device (in GB).
    • Front Camera: The resolution of the front (selfie) camera (in MP).
    • Back Camera: The resolution of the primary rear camera (in MP).
    • Processor: The chipset or processor used in the device.
    • Battery Capacity: The battery size of the smartphone (in mAh).
    • Screen Size: The display size of the smartphone (in inches).
    • Launched Price: (Pakistan, India, China, USA, Dubai): The official launch price of the mobile in the respective country at the time of its release. Prices vary based on the year the mobile was launched.
    • Launched Year: The year the mobile phone was officially launched.
  2. amazon product phones dataset

    • kaggle.com
    zip
    Updated Sep 22, 2024
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    marawana_attya_320210295 (2024). amazon product phones dataset [Dataset]. https://www.kaggle.com/datasets/marawan1234/amazon-product-phones-dataset
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    zip(3854253 bytes)Available download formats
    Dataset updated
    Sep 22, 2024
    Authors
    marawana_attya_320210295
    License

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

    Description

    About Dataset

    This dataset contains detailed information about phones listed on Amazon, including product specifications, user reviews, ratings, and pricing. The dataset can be useful for analyzing product trends, consumer preferences, pricing strategies, and technical features of smartphones sold on the platform. It includes both new and Amazon-renewed phones.

    Description

    The dataset includes the following key features:

    • Color: The available color of the phone.
    • Image Links: URLs to the images of the products.
    • Descriptions: Detailed descriptions of the phone, including specifications.
    • Kind Product: The type or category of the product (smartphones, accessories, etc.).
    • Ratings: User ratings (out of 5 stars).
    • Number of Ratings: Total count of ratings the product has received.
    • Status: Availability status (e.g., In Stock, Out of Stock).
    • Number of Buyers Last Month More Than: Approximate number of buyers in the previous month.
    • Typical Price: The regular price with usd of the phone without any discounts.
    • Price: The current price with usd of the phone.
    • You Save: The amount saved if the phone is on discount.
    • Discount: The percentage discount offered on the product.
    • Brand: The brand name of the phone (e.g., Apple, Samsung).
    • OS: The operating system of the phone (e.g., Android, iOS).
    • CPU Model: The model of the processor used in the phone.
    • Resolution: The screen resolution of the phone.
    • Name: The product name as listed on Amazon.
    • Wireless Carrier: The supported wireless carrier (e.g., Verizon, AT&T).
    • Cellular Technology: The cellular network technology (e.g., 4G, 5G).
    • Dimensions: Physical dimensions of the phone.
    • ASIN: Amazon Standard Identification Number, a unique product identifier.
    • Model: The model number of the phone.
    • Amazon Renewed: Indicates whether the product is part of the Amazon Renewed program (refurbished).
    • Renewed Smartphones: Additional flag indicating if the phone is renewed.
    • Battery Capacity: The capacity of the phone’s battery (in mAh).
    • Battery Power: The power rating of the battery.
    • Charging Time: Time taken to charge the phone fully.
    • RAM: The amount of RAM in the phone.
    • Storage: Internal storage capacity of the phone.
    • Screen Size: Size of the display (in inches).
    • Connectivity Technologies: Wireless technologies supported by the phone (e.g., Bluetooth, Wi-Fi).
    • Wireless Network: Type of wireless networks supported (e.g., Wi-Fi 6).
    • CPU Speed: The speed of the phone’s CPU (in GHz).
    • Reviews USA: User reviews originating from the USA.
    • Reviews Other: User reviews from countries other than the USA.

    Detail

    This dataset includes a comprehensive range of variables, offering insight into both the technical aspects and customer perceptions of various smartphones sold on Amazon. The dataset allows for:

    • Product Comparisons: Comparison of specifications like RAM, CPU, storage, battery life, screen size, etc.
    • Pricing Analysis: Understanding pricing trends, discounts, and price fluctuations across different brands and models.
    • Consumer Insights: Analysis of consumer behavior through ratings, reviews, and the number of buyers over time.
    • Product Availability: Insights into stock availability and how often certain products are sold or renewed.

    Usage

    The dataset can be used for several purposes, including but not limited to:

    1. Market Research: Analyze product popularity and trends in smartphone sales on Amazon.
    2. Sentiment Analysis: Perform sentiment analysis on reviews (USA and other countries) to understand customer satisfaction.
    3. Price Forecasting: Build models to forecast price changes or identify the best time to buy based on historical data.
    4. Product Recommendations: Develop recommendation systems based on user reviews, ratings, and product features.
    5. Competitive Analysis: Compare different brands and models to identify strengths and weaknesses of various smartphones.
    6. Feature Engineering for ML Models: Use product specifications like RAM, CPU speed, and battery power to create features for predictive machine learning models.

    Summary

    This Amazon product phones dataset provides an in-depth look at smartphones sold on Amazon, covering everything from technical specifications to user reviews and pricing. It is ideal for anyone looking to analyze trends in the smartphone market, consumer preferences, or technical specifications. The data can be leveraged for a wide array of projects such as market analysis, machine learning, and competitive intelligence.

  3. Amazon Cell Phones

    • kaggle.com
    zip
    Updated May 21, 2025
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    Michael Matta (2025). Amazon Cell Phones [Dataset]. https://www.kaggle.com/datasets/michaelmatta0/amazon-cell-phones-cleaned-scraped-data/code
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    zip(4486223 bytes)Available download formats
    Dataset updated
    May 21, 2025
    Authors
    Michael Matta
    License

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

    Description

    🆕 Update History

    • v2 (May 2025): Uploaded amazon_cell_phones_updated.csv — this new version includes updated features and additional data fields, while preserving the core structure and main features of the original dataset.
    • v1 (September 2024): Original upload of amazon_cell_phones_original_old.csv. The current dataset description refers to this version.

    📌 Note: The description below is still based on the original dataset (amazon_cell_phones_original_old.csv). For the latest structure and feature details, please refer directly to amazon_cell_phones_updated.csv.

    Various details about cell phones listed on Amazon USA, such as product name, price, rating, number of ratings, and technical specifications like RAM, storage, screen size, and more.

    Dataset Overview

    This dataset contains detailed information about cellphones listed on Amazon, scraped using Selenium and BeautifulSoup. It includes product details such as the name, price, ratings, specifications (RAM, storage, screen size, etc.), and additional metadata like the number of ratings and discount percentage. The dataset was designed to provide insights into cellphone features, pricing trends, and customer feedback on one of the world's largest e-commerce platforms.

    Source

    The data was scraped from Amazon's cellphone category pages over multiple pages (up to 250 pages). Given Amazon's structure, the dataset includes a wide variety of cellphone brands and models, including older and newer releases.

    Data Fields

    • ID: Unique identifier for each product.
    • Product Name: The name of the cellphone.
    • Product Link: URL link to the Amazon product page.
    • Image Link: URL link to the product image on Amazon.
    • Price (Dollar): The price of the cellphone in USD.
    • Discount Percentage: Discount percentage, if applicable, calculated as the difference between the original price and the current price.
    • Price Before Discount: Original price of the cellphone, if available.
    • Rating (out of 5): Customer rating, extracted from the product page.
    • Number of Ratings: The total number of customer ratings for the product.
    • Brand: Brand of the cellphone.
    • Operating System: The operating system of the cellphone (e.g., Android, iOS).
    • RAM (GB): Amount of RAM in GB.
    • Storage (GB): Internal storage capacity in GB.
    • Screen Size (Inches): Screen size in inches.
    • Cellular Technology: Cellular technology (e.g., 4G, 5G).
    • CPU: CPU Speed.
    • CPU Model: CPU model used in the cellphone.
    • Available Colors: Available colors for the cellphone model.

    Potential Uses

    • Product Comparison: This dataset can be used to compare various cellphone brands and models based on price, RAM, storage, and other features.
    • Trend Analysis: Analyze price trends, discount patterns, and customer preferences based on ratings and reviews.
    • Machine Learning: Build machine learning models to predict price trends, ratings, or sales volume.
    • Exploratory Data Analysis (EDA): Perform EDA to discover patterns, outliers, and insights into the cellphone market.

    Data Cleaning

    The dataset has been cleaned to remove duplicates and standardize data entries. Missing values were handled where possible, and units of measurement (e.g., RAM, storage) have been converted for consistency.

    Limitations

    • Dynamic Content: Prices, ratings, and availability may change on Amazon over time, meaning this dataset represents a snapshot of the listings at the time of scraping.
  4. Mobile Wireless Providers Market Share in the US, 2016

    • reportlinker.com
    Updated Apr 11, 2024
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    ReportLinker (2024). Mobile Wireless Providers Market Share in the US, 2016 [Dataset]. https://www.reportlinker.com/dataset/59f2e6f51ffb17bec8aa69c95065d944837626ea
    Explore at:
    Dataset updated
    Apr 11, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Area covered
    United States
    Description

    Mobile Wireless Providers Market Share in the US, 2016 Discover more data with ReportLinker!

  5. Global smartphone sales to end users 2007-2023

    • statista.com
    Updated Apr 25, 2014
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    Statista (2014). Global smartphone sales to end users 2007-2023 [Dataset]. https://www.statista.com/statistics/263437/global-smartphone-sales-to-end-users-since-2007/
    Explore at:
    Dataset updated
    Apr 25, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2022, smartphone vendors sold around 1.39 billion smartphones were sold worldwide, with this number forecast to drop to 1.34 billion in 2023.

    Smartphone penetration rate still on the rise

    Less than half of the world’s total population owned a smart device in 2016, but the smartphone penetration rate has continued climbing, reaching 78.05 percent in 2020. By 2025, it is forecast that almost 87 percent of all mobile users in the United States will own a smartphone, an increase from the 27 percent of mobile users in 2010.

    Smartphone end user sales

    In the United States alone, sales of smartphones were projected to be worth around 73 billion U.S. dollars in 2021, an increase from 18 billion dollars in 2010. Global sales of smartphones are expected to increase from 2020 to 2021 in every major region, as the market starts to recover from the initial impact of the coronavirus (COVID-19) pandemic.

  6. Cellular Towers In USA

    • kaggle.com
    zip
    Updated Mar 9, 2023
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    Jahaidul Islam (2023). Cellular Towers In USA [Dataset]. https://www.kaggle.com/datasets/jahaidulislam/cellular-towers-in-usa
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    zip(2256523 bytes)Available download formats
    Dataset updated
    Mar 9, 2023
    Authors
    Jahaidul Islam
    License

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

    Description

    The Cellular Towers in USA dataset is a collection of data that provides information about cellular towers located in the United States. The dataset includes information about the location, ownership, and technical specifications of over 47,000 cellular towers.

    Each record in the dataset contains the following information:

    • Object ID
    • Unique System ID
    • Licensee
    • Latitude
    • Longitude
    • Structure Type
    • Location Address
    • Location City
    • Location State
    • URL

    This dataset can be useful for a variety of purposes, including:

    • Analyzing the coverage and quality of cellular networks in the United States
    • Identifying areas with a high density of cellular towers
    • Evaluating the market share of different cellular tower owners
  7. 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/
    Explore at:
    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...

  8. Top 5 Phone Brands 2022 on Amazon

    • kaggle.com
    zip
    Updated Feb 16, 2023
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    Caroline(Yuanmo) Zhu (2023). Top 5 Phone Brands 2022 on Amazon [Dataset]. https://www.kaggle.com/datasets/yuanmozhu/top-5-phone-brands-2022-on-amazon
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    zip(5202 bytes)Available download formats
    Dataset updated
    Feb 16, 2023
    Authors
    Caroline(Yuanmo) Zhu
    License

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

    Description

    Background

    This dataset includes the top 10 search results of smartphone brands on Amazon in the US. The brands included here are SAMSUNG, Apple, HUAWEI, XIAOMI, and OPPO, which are also the top 5 smartphones worldwide by the amount of shipment. The top 10 search results of each brand are based on the current average buyer review grades. This may change when you go to Amazon to cross-check.

    Clarification on certain special columns

    For the feature headers and feature values, these two columns' data values are separated by space and tab and the order corresponds with each other. For example, in the first line: The feature headers as follows: Brand Model Name Wireless Carrier OS Cellular Technology Memory Storage Capacity Connectivity technologies Color Screen Size Wireless network technology
    corresponds to
    The feature values as follows: SAMSUNG Samsung Galaxy S23 Unlocked for All Carriers Android 13.0 5G 256 GB Bluetooth, Wi-Fi, USB, NFC Lavender 6.1 Inches GSM, CDMA, LTE

    Some inspirations on data analytics

    📍 Comparison analysis on brands based on top 10 search result phone models, ratings, and product features including technologies, colors, screen size, etc. Figure out if there exists any significant common or different traits or trends of the top 5 brands. 📍 Clustering analysis to see if there exist any noteworthy groups with certain features. 📍 Regression analysis on features and see how each potentially contributes to the ratings or sales.

    Caution

    The sample size of this dataset is just 61 records and the data here only represents brands' sales and top-rating products on Amazon. Conclusions drawn can be biased but still give a general idea or some clues on the smartphone market segmentation and potential strategies taken by different brands to differentiate.

  9. B2B Technographic Data in Vietnam

    • kaggle.com
    zip
    Updated Sep 12, 2024
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    Techsalerator (2024). B2B Technographic Data in Vietnam [Dataset]. https://www.kaggle.com/datasets/techsalerator/b2b-technographic-data-in-vietnam
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    zip(12108 bytes)Available download formats
    Dataset updated
    Sep 12, 2024
    Authors
    Techsalerator
    License

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

    Area covered
    Vietnam
    Description

    Techsalerator’s Business Technographic Data for Vietnam: Unlocking Insights into Vietnam's Technology Landscape

    Techsalerator’s Business Technographic Data for Vietnam provides a detailed and comprehensive dataset essential for businesses, market analysts, and technology vendors seeking to understand and engage with companies operating within Vietnam. This dataset offers in-depth insights into the technological landscape, capturing and organizing data related to technology stacks, digital tools, and IT infrastructure used by businesses in the country.

    Please reach out to us at info@techsalerator.com or visit Techsalerator Contact.

    Top 5 Most Utilized Data Fields

    • Company Name: This field lists the names of companies in Vietnam, enabling technology vendors to target potential clients and allowing analysts to assess technology adoption trends within specific businesses.

    • Technology Stack: This field outlines the technologies and software solutions a company uses, such as accounting systems, customer management software, and cloud services. Understanding a company's technology stack is key to evaluating its digital maturity and operational needs.

    • Deployment Status: This field indicates whether the technology is currently deployed, planned for future deployment, or under evaluation. Vendors can use this information to assess the level of technology adoption and interest among companies in Vietnam.

    • Industry Sector: This field specifies the industry in which the company operates, such as manufacturing, retail, or finance. Knowing the industry helps vendors tailor their products to sector-specific demands and emerging trends in Vietnam.

    • Geographic Location: This field identifies the company's headquarters or primary operations within Vietnam. Geographic information aids in regional analysis and understanding localized technology adoption patterns across the country.

    Top 5 Technology Trends in Vietnam

    • E-commerce Expansion: With a rapidly growing digital consumer base, Vietnamese companies are increasingly investing in e-commerce platforms, digital marketing, and online payment systems to capture a larger market share and enhance customer experience.

    • Fintech Innovations: Vietnam’s fintech sector is experiencing significant growth, with businesses adopting advanced financial technologies such as mobile payment solutions, digital wallets, and blockchain to improve financial transactions and services.

    • Smart Manufacturing: The manufacturing sector in Vietnam is embracing Industry 4.0 technologies, including automation, IoT, and AI-driven analytics, to enhance productivity, efficiency, and competitiveness in the global market.

    • Cloud Computing and SaaS: Cloud-based solutions and Software-as-a-Service (SaaS) offerings are gaining traction, providing Vietnamese businesses with scalable and flexible IT infrastructure that supports remote work and digital transformation initiatives.

    • Cybersecurity Enhancements: As digital activities increase, so does the need for robust cybersecurity measures. Companies in Vietnam are investing in advanced security solutions, including threat detection systems and data protection tools, to safeguard their operations and customer data.

    Top 5 Companies with Notable Technographic Data in Vietnam

    • Vietcombank: A leading financial institution, Vietcombank is implementing cutting-edge digital banking solutions, including mobile banking apps and secure online transaction systems, to enhance customer service and operational efficiency.

    • Vingroup: As a major conglomerate, Vingroup leverages advanced technologies across its diverse business segments, including real estate, retail, and healthcare, integrating smart technologies and digital platforms into its operations.

    • FPT Corporation: A major IT services and software development company, FPT is at the forefront of digital transformation in Vietnam, offering solutions in cloud computing, AI, and cybersecurity to both domestic and international clients.

    • Masan Group: A leading consumer goods and retail company, Masan Group is adopting digital tools and e-commerce platforms to optimize its supply chain, enhance customer engagement, and drive business growth.

    • VNPT: Vietnam’s largest telecommunications provider, VNPT is expanding its network infrastructure and investing in advanced technologies such as 5G and IoT to improve connectivity and support the digital economy.

    Accessing Techsalerator’s Business Technographic Data

    For those interested in accessing Techsalerator’s Business Technographic Data for Vietnam, please contact info@techsalerator.com with your specific needs. Techsalerator offers customized quotes based on the required number of data fields and records, with datasets available for delivery within 24 hours. Ongoing access ...

  10. 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/
    Explore at:
    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...

  11. Global smartphone unit shipments of Samsung 2010-2025, by quarter

    • statista.com
    • abripper.com
    Updated Nov 1, 2025
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    Statista (2025). Global smartphone unit shipments of Samsung 2010-2025, by quarter [Dataset]. https://www.statista.com/statistics/299144/samsung-smartphone-shipments-worldwide/
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    Dataset updated
    Nov 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In the third quarter of 2025, Samsung shipped approximately **** million smartphones, marking an increase compared to both the previous quarter and the same period in the prior year. The company’s strong sales performance consistently positions Samsung as the world’s leading smartphone vendor, ahead of Apple. Samsung smartphone sales – how many phones does Samsung sell? Global smartphone sales reached over *** 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 ** percent of the global smartphone market share.

  12. Number of global social network users 2017-2028

    • statista.com
    • de.statista.com
    + more versions
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    Stacy Jo Dixon, Number of global social network users 2017-2028 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    How many people use social media?

                  Social media usage is one of the most popular online activities. In 2024, over five billion people were using social media worldwide, a number projected to increase to over six billion in 2028.
    
                  Who uses social media?
                  Social networking is one of the most popular digital activities worldwide and it is no surprise that social networking penetration across all regions is constantly increasing. As of January 2023, the global social media usage rate stood at 59 percent. This figure is anticipated to grow as lesser developed digital markets catch up with other regions
                  when it comes to infrastructure development and the availability of cheap mobile devices. In fact, most of social media’s global growth is driven by the increasing usage of mobile devices. Mobile-first market Eastern Asia topped the global ranking of mobile social networking penetration, followed by established digital powerhouses such as the Americas and Northern Europe.
    
                  How much time do people spend on social media?
                  Social media is an integral part of daily internet usage. On average, internet users spend 151 minutes per day on social media and messaging apps, an increase of 40 minutes since 2015. On average, internet users in Latin America had the highest average time spent per day on social media.
    
                  What are the most popular social media platforms?
                  Market leader Facebook was the first social network to surpass one billion registered accounts and currently boasts approximately 2.9 billion monthly active users, making it the most popular social network worldwide. In June 2023, the top social media apps in the Apple App Store included mobile messaging apps WhatsApp and Telegram Messenger, as well as the ever-popular app version of Facebook.
    
  13. Penetration rate of smartphones in the United States 2014-2029

    • statista.com
    Updated Dec 18, 2023
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    Statista Research Department (2023). Penetration rate of smartphones in the United States 2014-2029 [Dataset]. https://www.statista.com/topics/982/mobile-payments/
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    Dataset updated
    Dec 18, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The smartphone penetration in the United States was forecast to continuously increase between 2024 and 2029 by in total 1.3 percentage points. The penetration is estimated to amount to 97 percent in 2029. Notably, the smartphone penetration of was continuously increasing over the past years.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 Mexico and Canada.

  14. Countries with the most Facebook users 2024

    • statista.com
    • de.statista.com
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    Stacy Jo Dixon, Countries with the most Facebook users 2024 [Dataset]. https://www.statista.com/topics/1164/social-networks/
    Explore at:
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    Which county has the most Facebook users?

                  There are more than 378 million Facebook users in India alone, making it the leading country in terms of Facebook audience size. To put this into context, if India’s Facebook audience were a country then it would be ranked third in terms of largest population worldwide. Apart from India, there are several other markets with more than 100 million Facebook users each: The United States, Indonesia, and Brazil with 193.8 million, 119.05 million, and 112.55 million Facebook users respectively.
    
                  Facebook – the most used social media
    
                  Meta, the company that was previously called Facebook, owns four of the most popular social media platforms worldwide, WhatsApp, Facebook Messenger, Facebook, and Instagram. As of the third quarter of 2021, there were around 3,5 billion cumulative monthly users of the company’s products worldwide. With around 2.9 billion monthly active users, Facebook is the most popular social media worldwide. With an audience of this scale, it is no surprise that the vast majority of Facebook’s revenue is generated through advertising.
    
                  Facebook usage by device
                  As of July 2021, it was found that 98.5 percent of active users accessed their Facebook account from mobile devices. In fact, almost 81.8 percent of Facebook audiences worldwide access the platform only via mobile phone. Facebook is not only available through mobile browser as the company has published several mobile apps for users to access their products and services. As of the third quarter 2021, the four core Meta products were leading the ranking of most downloaded mobile apps worldwide, with WhatsApp amassing approximately six billion downloads.
    
  15. Apple iPhone sales worldwide 2007-2024

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). Apple iPhone sales worldwide 2007-2024 [Dataset]. https://www.statista.com/statistics/276306/global-apple-iphone-sales-since-fiscal-year-2007/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The number of Apple iPhone unit sales dramatically increased between 2007 and 2024. Indeed, in 2007, when the iPhone was first introduced, Apple shipped around **** million smartphones. By 2024, this number reached over ***** million units. The newest models and iPhone’s lasting popularity Apple has ventured into its 17th smartphone generation with its Phone ** lineup, which, released in September 2025, includes the **, ** Plus, ** Pro and Pro Max. Powered by the A19 bionic chip and running on iOS **, these models present improved displays, cameras, and functionalities. On the one hand, such features come, however, with hefty price tags, namely, an average of ***** 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 ** million smartphones, while Apple recorded shipments of roughly ** 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 ** percent of the market share as of the latest quarter.

  16. U.S. Facebook data requests from government agencies 2013-2023

    • statista.com
    • de.statista.com
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    Stacy Jo Dixon, U.S. Facebook data requests from government agencies 2013-2023 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    Facebook received 73,390 user data requests from federal agencies and courts in the United States during the second half of 2023. The social network produced some user data in 88.84 percent of requests from U.S. federal authorities. The United States accounts for the largest share of Facebook user data requests worldwide.

  17. Forecast revenue big data market worldwide 2011-2027

    • statista.com
    Updated Mar 15, 2018
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    Statista (2018). Forecast revenue big data market worldwide 2011-2027 [Dataset]. https://www.statista.com/statistics/254266/global-big-data-market-forecast/
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    Dataset updated
    Mar 15, 2018
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. With a share of 45 percent, the software segment would become the large big data market segment by 2027. What is Big data? Big data is a term that refers to the kind of data sets that are too large or too complex for traditional data processing applications. It is defined as having one or some of the following characteristics: high volume, high velocity or high variety. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets. Big data analytics Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate new business insights. The global big data and business analytics market was valued at 169 billion U.S. dollars in 2018 and is expected to grow to 274 billion U.S. dollars in 2022. As of November 2018, 45 percent of professionals in the market research industry reportedly used big data analytics as a research method.

  18. Market cap of 120 digital assets, such as crypto, on October 1, 2025

    • statista.com
    Updated Jun 3, 2025
    + more versions
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    Raynor de Best (2025). Market cap of 120 digital assets, such as crypto, on October 1, 2025 [Dataset]. https://www.statista.com/topics/871/online-shopping/
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    Dataset updated
    Jun 3, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Raynor de Best
    Description

    A league table of the 120 cryptocurrencies with the highest market cap reveals how diverse each crypto is and potentially how much risk is involved when investing in one. Bitcoin (BTC), for instance, had a so-called "high cap" - a market cap worth more than 10 billion U.S. dollars - indicating this crypto project has a certain track record or, at the very least, is considered a major player in the cryptocurrency space. This is different in Decentralize Finance (DeFi), where Bitcoin is only a relatively new player. A concentrated market The number of existing cryptocurrencies is several thousands, even if most have a limited significance. Indeed, Bitcoin and Ethereum account for nearly 75 percent of the entire crypto market capitalization. As crypto is relatively easy to create, the range of projects varies significantly - from improving payments to solving real-world issues, but also meme coins and more speculative investments. Crypto is not considered a payment method While often talked about as an investment vehicle, cryptocurrencies have not yet established a clear use case in day-to-day life. Central bankers found that usefulness of crypto in domestic payments or remittances to be negligible. A forecast for the world's main online payment methods took a similar stance: It predicts that cryptocurrency would only take up 0.2 percent of total transaction value by 2027.

  19. Facebook users worldwide 2017-2027

    • statista.com
    • de.statista.com
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    Stacy Jo Dixon, Facebook users worldwide 2017-2027 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    The global number of Facebook users was forecast to continuously increase between 2023 and 2027 by in total 391 million users (+14.36 percent). After the fourth consecutive increasing year, the Facebook user base is estimated to reach 3.1 billion users and therefore a new peak in 2027. Notably, the number of Facebook users was continuously increasing over the past years. User figures, shown here regarding the platform Facebook, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.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).

  20. Global social network penetration 2019-2028

    • statista.com
    • de.statista.com
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    Stacy Jo Dixon, Global social network penetration 2019-2028 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    The global social media penetration rate in was forecast to continuously increase between 2024 and 2028 by in total 11.6 (+18.19 percent). After the ninth consecutive increasing year, the penetration rate is estimated to reach 75.31 and therefore a new peak in 2028. Notably, the social media penetration rate of was continuously increasing over the past years.

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Abdul Malik (2025). Mobiles Dataset (2025) [Dataset]. https://www.kaggle.com/datasets/abdulmalik1518/mobiles-dataset-2025
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Mobiles Dataset (2025)

Mobile specs: Company, Model, RAM, Cameras, Battery, Prices (PK,IN, CN, US, UAE)

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zip(20314 bytes)Available download formats
Dataset updated
Feb 18, 2025
Authors
Abdul Malik
License

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

Description

This dataset contains detailed specifications and official launch prices of various mobile phone models from different companies. It provides insights into smartphone hardware, pricing trends, and brand competitiveness across multiple countries. The dataset includes key features such as RAM, camera specifications, battery capacity, processor details, and screen size.

One important aspect of this dataset is the pricing information. The recorded prices represent the official launch prices of the mobile phones at the time they were first introduced in the market. Prices vary based on the country and the launch period, meaning older models reflect their original launch prices, while newer models include their most recent launch prices. This makes the dataset valuable for studying price trends over time and comparing smartphone affordability across different regions.

Features:

  • Company Name: The brand or manufacturer of the mobile phone.
  • Model Name: The specific model of the smartphone.
  • Mobile Weight: The weight of the mobile phone (in grams).
  • RAM: The amount of Random Access Memory (RAM) in the device (in GB).
  • Front Camera: The resolution of the front (selfie) camera (in MP).
  • Back Camera: The resolution of the primary rear camera (in MP).
  • Processor: The chipset or processor used in the device.
  • Battery Capacity: The battery size of the smartphone (in mAh).
  • Screen Size: The display size of the smartphone (in inches).
  • Launched Price: (Pakistan, India, China, USA, Dubai): The official launch price of the mobile in the respective country at the time of its release. Prices vary based on the year the mobile was launched.
  • Launched Year: The year the mobile phone was officially launched.
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