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.

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.

Key Apple App Store StatisticsApple App Store App and Game RevenueApple App Store Gaming App RevenueApple App Store App RevenueApple App Store App and Game DownloadsApple App Store Game...

How many iPhones have been sold in 2018?

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

iPhone’s popularity

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

Apple products

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

37 Active Global Apple Iphone Mobile buyers list and Global Apple Iphone Mobile importers directory compiled from actual Global import shipments of Apple Iphone Mobile.

This dataset contains the results (manually counted pushes and pushes counted by Apple Watch Series 4) of the study presented in the paper "Accuracy of Activity Measurements with Newer Generations of Apple Watch in Wheelchair Users with Spinal Cord Injury”

This dataset is about book subjects and is filtered where the books includes Apple people, featuring 10 columns including authors, average publication date, book publishers, book subject, and books. The preview is ordered by number of books (descending).

Apple stock prices from years 2014 to 2023. This dataset can be used to predict price trend for next day based on technical indicators.

target : Price trend for next day - Multi Class Classification - bullish - If price increases more than 0.5% - bearish - If price fall more than 0.5% - neutral - If price movement stay with -0.5% to +0.5% range Following technical indicators included: - SMA: Simple Moving Average. Aid in determining if an asset price will continue or if it will reverse a bull or bear trend. - EMA: Exponential Moving Average. Shows how the price of an asset or security changes over a certain period of time. The EMA is different from a simple moving average in that it places more weight on recent data points - RSI: Relative Strength Index. RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security. Bolling: Bollinger Band. Generate oversold or overbought signals - MACD: Moving Average Convergence Divergence. A trend-following momentum indicator that shows the relationship between two exponential moving averages. - CCI: Commodity Channel Index. A technical indicator that measures the difference between the current price and the historical average price. - TR: True Range. Measures the daily range plus any gap from the closing price of the preceding day. - ATR: Average True Range. Average of true ranges over the specified period. ATR measures volatility, taking into account any gaps in the price movement.

Legacy product - no abstract available

The Department of City Planning aggregates information about 30,000+ facilities and program sites that are owned, operated, funded, licensed, or certified by a City, State, or Federal agency in the City of New York into a central database called the City Planning Facilities Database (FacDB). These facilities generally help to shape quality of life in the city's neighborhoods, and this dataset is the basis for a series of planning activities. This public data resource allows all New Yorkers to understand the breadth of government resources in their neighborhoods. The data is also complemented with a new interactive web map that enables users to easily filter the data for their needs. Users are strongly encouraged to read the database documentation, particularly with regard to analytical limitations. Questions about this database can be directed to dcpopendata@planning.nyc.gov All previously released versions of this data are available at BYTES of the BIG APPLE Archive

This dataset is about books and is filtered where the book is Apple people, featuring 7 columns including author, BNB id, book, book publisher, and ISBN. The preview is ordered by publication date (descending).

Context

This dataset contains images of 6 fruits and vegetables: apple, banana, bitter gourd, capsicum, orange, and tomato. The images of each fruit or vegetable are grouped into two categories: fresh and stale. The purpose behind the creation of this dataset is the development of a machine learning model to classify fruits and vegetables as fresh or stale. This feature is a part of our final year project titled ‘Food Aayush’. (Github Link)

Data Collection and Preprocessing

For collecting the images to create the dataset, images of the fruits and vegetables were captured daily using a mobile phone camera. Depending on the visual properties of the fruit or vegetable in each image and on the day when the image was captured, each image was labelled as fresh or stale. Additionally, videos of the fruits and vegetables were taken, and the frames of these videos were extracted to collect a large number of images conveniently. The machine learning model requires a 224 x 224-pixel image. So, the images were cropped to extract the center square of the image and resized in 512 x 512 pixels using a data pre-processing library in Keras. Frame Extraction

Data Augmentation: We used ImageDataGenerator library from Keras for augmentation. We on average created 20 augmentations per image which indeed improve our models accuracy. Data Augmentation

Acknowledgements

We would like to give credit to this dataset as we have obtained the images in some of the classes from here. Dataset

Inspiration

Our BE final year project, titled ‘Food Aayush’, is an application that can be used for the classification of fruits and vegetables as fresh or stale, the classification of cooking oils into different rancidity levels, and the analysis of various parameters related to the nutritional value of food and people’s dietary intake. We have trained a machine learning model for the classification of fruits and vegetables. This dataset was created for training the machine learning model. Your data will be in front of the world's largest data science community. What questions do you want to see answered?

White Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Apple Valley, California by age, education, race, gender, work experience and more.

Infant Crying Smartphone speech dataset, collected by Android smartphone and iPhone, covering infant crying. Our dataset was collected from extensive and diversify speakers(201 people in total, with balanced gender distribution), geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

This dataset provides information about Allegheny County vendors accepting WIC who participate in the Pennsylvania Department of Agriculture's Farmers Market Nutrition Program (FMNP). These markets provide the public, including WIC recipients, with fresh, nutritious, locally grown fruits, vegetables, and herbs from approved farmers in Pennsylvania. Each row in the data includes details about location, days/hours of operation, and the length of the season. Additional directions and affiliations have also been provided when available. Users may also be interested in the PA Department of Agriculture's new PA FMNP Market Locator app, a free mobile tool to help residents find markets closest to them across the entire state. The FMNP Market Locator app is available both in the Apple Store (https://apple.co/2KNJ4dk) and Google Play (http://bit.ly/2Z86Ytg).

In other families Health Insurance Coverage Statistics for 2023. This is part of a larger dataset covering consumer health insurance coverage rates in Apple Valley, California by age, education, race, gender, work experience and more.

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.

The app is downloaded from the Apple Store and Google Play: Hello.tousanticovid.gouv.fr/ Description of the data This dataset informs for each day since the launch of the application on 2 June 2020: — Cumulative total of the number of registered applications minus the number of deregistrations. — Cumulative total of users notified by the application: the number of users notified by the application as risk contacts following exposure to COVID-19, since 2 June 2020. — Cumulative total of users reporting as COVID-19 cases per day: the number of users who reported as COVID-19 cases in the application, since 2 June 2020.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Rita Experimental Range (SRE) contains plant cover of Opuntia engelmannii (cactus apple) measurements in percent units and were aggregated to a yearly timescale.

Under 18 years Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Apple Valley, California by age, education, race, gender, work experience and more.