The global number of smartphone users in was forecast to continuously increase between 2024 and 2029 by in total 1.8 billion users (+42.62 percent). After the ninth consecutive increasing year, the smartphone user base is estimated to reach 6.1 billion 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 Australia & Oceania and Asia.

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 global smartphone penetration in was forecast to continuously increase between 2024 and 2029 by in total 20.3 percentage points. After the fifteenth consecutive increasing year, the penetration is estimated to reach 74.98 percent and therefore a new peak 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 North America and the Americas.

This dataset provides a comprehensive collection of information about all the latest smartphones available in the market as of the current time.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F13571604%2Fb608498b1cf7f70b9a22952566197db6%2FScreenshot%202023-08-02%20003740.png?generation=1690961033930490&alt=media" alt="">

The dataset was created by web scraping reputable online sources to gather accurate and up-to-date information about various smartphone models, their specifications, features, and pricing.

Research dataset and analysis for Smartphones including statistics, forecasts, and market insights

The population share with mobile internet access in North America was forecast to increase between 2024 and 2029 by in total 2.9 percentage points. This overall increase does not happen continuously, notably not in 2028 and 2029. The mobile internet penetration is estimated to amount to 84.21 percent in 2029. Notably, the population share with mobile internet access of was continuously increasing over the past years.The penetration rate refers to the share of the total population having access to the internet via a mobile broadband connection.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 population share with mobile internet access in countries like Caribbean and Europe.

Mobile Broadband penetration is defined as the number of active mobile broadband SIM cards per 100 people.

Original source

Electronic communications market indicators collected by Commission services, through National Regulatory Authorities, for the Communications Committee (COCOM) - January and July reports.:

http://ec.europa.eu/digital-agenda/about-fast-and-ultra-fast-internet-access

Parent dataset

This dataset is part of of another dataset:

http://digital-agenda-data.eu/datasets/digital_agenda_scoreboard_key_indicators

Welcome to the Mobile Sales Dataset, a simulated dataset designed to provide insights into global mobile device sales trends. Whether you're analyzing market dynamics, consumer behavior, or building predictive models, this dataset serves as a valuable resource for data science and analytics projects.

🚀 What’s Inside? ✔️ Comprehensive Sales Data – Covers mobile device sales across different regions. ✔️ Revenue & Performance Trends – Explore units sold, revenue, and market trends. ✔️ Customer Demographics – Modeled data on customer age and gender. ✔️ Retailer & Sales Channels – Insights into where sales take place.

📊 Dataset Overview: This dataset has been synthetically generated and does not contain real-world sales data. It is crafted for educational and analytical purposes, allowing users to explore sales trends and predictive modeling techniques in the mobile industry.

📌 Key Features: 📅 Date of Sale: Modeled sales transaction dates 📱 Device Type: Categories include smartphones, feature phones, and tablets 🌍 Region: Simulated sales data from multiple geographical locations 📊 Units Sold: Number of devices sold per transaction 💰 Sales Revenue: Revenue generated from each sale 👤 Customer Demographics: Modeled customer attributes like age and gender 🏬 Retailer: Simulated retail outlets where sales occurred 🔍 Potential Use Cases: ✅ Market research on mobile sales trends across different regions ✅ Building predictive models to forecast sales and revenue ✅ Analyzing customer demographics and purchase behavior ✅ Evaluating retailer performance and sales distribution

⚠️ Disclaimer: This dataset is 100% synthetic and is not based on real-world sales data. It is designed exclusively for learning, research, and analytical practice.

📊 Use this dataset to explore sales trends, develop forecasting models, and enhance your data science skills in retail analytics! 🚀📱

Dataset from Info-communications Media Development Authority. For more information, visit https://data.gov.sg/datasets/d_5fb7ffda1ffd756151b1650d4c64363c/view

Information Technology Usage and Penetration - Table 720-90006 : Persons aged 10 and over who had a mobile phone (including smartphone and non-smartphone) by sex and age group

Technical Report: ResearchGate link

Motivation

The associated concerns have increased with increasing reliance, malpractices, and time-spending habits when it comes to mobile phones. It has become a veritable cause of distraction and malicious activities, even as far as creating life threatening circumstances like road accidents, security breaches, etc. To address this issue, we have manually prepared a custom image dataset of people using a mobile-phone while performing day-to-day activities.

Previously available similar datasets faced considerable shortcomings such as: - Suffered from minimal variations in foreground-background imagery and were intended for only very specialized activities - Lacked high quality images with proper annotation

Our dataset solves these caveats as follows: - It includes more generic, higher quality images of people using a phone(s) in various environments and a wide range of scenarios - For the annotation process, the labelImg tool was used to diligently create labels by using “compound-bounding boxes” for both the hand and the device. This ensures detection of actual usage and not just the presence of a phone.

It is broadly divided into two subsets. First is a set of 540 positive images with subject(s) using a mobile phone. Accordingly, the other set consists of 348 negative images with no perceivable mobile-phone usage.

Potential applications

The primary use case of the dataset is for mobile phone usage detection. Ultimately, it can be put to a variety of applications such as for detecting and ultimately preventing: - Usage at inappropriate places like in a classroom, confidential meetings, etc. - A person using a phone in an endangering situation, like while driving, standing at elevated surfaces, etc. - As unfair means like in examination halls, pirating private artistic properties, etc. - Theft and loss of mobile phones

These can help authorities and lawmakers ensure the best interests and well-being of the public.

Possible limitations and directions to the users

Although of appreciable quality, the dataset is limited in its size. It can be extended further by the collective contributions of images by users. It can also be duly combined with other similar datasets to meet the large training data requirements of deep learning models. As the images are of different file sizes and dimensions, they need to be resized prior to usage.

However, the contents of this dataset must not be reuploaded elsewhere or distributed as part of another dataset. Publications/reports by the users must acknowledge this dataset and duly cite this report. The task of mobile-usage detection is in itself a challenging task given the size of the object(s) of interest and even human examination might not yield complete accuracy. Thus, this dataset should only be used for academic purposes such as study of computer vision applications. It cannot be used for any legal/commercial purposes.

Switzerland is leading the ranking by population share with mobile internet access, recording 95.06 percent. Following closely behind is Ukraine with 95.06 percent, while Moldova is trailing the ranking with 46.83 percent, resulting in a difference of 48.23 percentage points to the ranking leader, Switzerland. The penetration rate refers to the share of the total population having access to the internet via a mobile broadband connection. 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).

A line chart that shows % of U.S. adults who say they own a …

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_07b1f52c84218d677cd518f0b81fa7f9/view

The global smartphone penetration rate was estimated at ** percent in 2024, up from 2023. This is based on an estimated *** billion smartphone subscriptions worldwide and a global population of around *** billion. Regional differences in smartphone penetration Throughout the world, the smartphone penetration rate in the general population varies greatly. For example, in North America and Europe, the smartphone adoption rate stands at roughly ** and ** percent, respectively. Whereas in Sub-Saharan Africa, the same rate only stands at ** percent as of late 2023, showing a roughly ** percent difference in adoption rates between the highest and lowest ranked regions. Global smartphone shipments The number of global smartphone shipments saw a drop in recent years. However, the number of shipments is expected to recover to previous levels in the upcoming years. Most recently, Samsung and Apple have been leading the share of smartphone shipments worldwide, with other competitors such as Xiaomi and Oppo are catching up. Most of the top contributors to the smartphone market are concentrated in the Asia-Pacific region, which is also the region is the one with the most smartphone sales to end users as a whole.

A line chart that shows % of U.S. adults who are smartphone dependent, by annual household income

A line chart that shows % of U.S. adults who are smartphone dependent, by community type

A line chart that shows % of U.S. adults who are smartphone dependent, by age

A line chart that shows % of U.S. adults who are smartphone dependent, by race and ethnicity

Mobile broadband - subscriptions and penetration

Product information not available.