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.

In the United States, the total revenue generated by the AI-enabled enterprise smartphone market was forecast to increase between 2024 and 2034, reaching almost 15 million U.S. dollars by the end of the given period.

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.

Forecast: Mobile Phones Market Size Value Per Capita in the UK 2023 - 2027 Discover more data with ReportLinker!

This dataset offers a historical perspective on the evolution of the mobile operating system market over time. By tracking the market share of each OS, it provides insights into consumer preferences, technological advancements, and the competitive landscape within the mobile industry.

For data scientists and analysts, this is valuable for conducting trend analysis, forecasting future market dynamics, and understanding the factors driving changes in OS popularity. It can be used to:

• Analyze trends in mobile OS adoption and decline over time.
• Forecast future shifts in the mobile OS market.
• Assess the impact of new OS releases, features, or other market entrants on existing OS market shares.
• Compare the growth rates of different operating systems.

Several analyses can be conducted, including:

• Identify which operating systems have gained or lost market share over time and the rate of these changes.
• Determine periods during which certain operating systems dominated the market and analyze the causes behind such dominance.
• Compare the year-over-year growth rates of different operating systems to identify which ones are gaining momentum.
• Use historical data to forecast future trends in the mobile OS market.

This dataset contains detailed specifications and features of 1,020 smartphone models, offering a comprehensive resource for analyzing and comparing smartphones across various brands and price ranges. It is ideal for use in data analysis, exploratory data visualization, and machine learning applications, such as building recommendation systems or price prediction models.

Why Use this Dataset?

1. Market Analysis: Study trends in smartphone features, pricing, and performance.
2. Recommendation Systems: Build models to suggest smartphones based on user preferences.
3. Customer Insights: Analyze ratings to understand customer satisfaction.
4. Price Prediction: Predict the price of smartphones based on specifications.
5. Missing or Partial Data: Some columns, such as ratings, camera, card support, and OS, contain missing or incomplete values, which provides an opportunity for data cleaning and preprocessing.

In the United States, the revenue of the AI-enabled consumer smartphone market was expected to reach over 20 million U.S. dollars in 2024. Over the next decade, the size of this market was forecast to steadily increase, recording a revenue of over 105 billion U.S. dollars in 2034.

Leverage the most reliable and compliant mobile device location/foot traffic dataset on the market. Veraset Movement (Mobile Device GPS / Foot Traffic Data) offers unparalleled insights into footfall traffic patterns across North America.

Covering the United States, Canada and Mexico, Veraset's Mobile Location Data draws on raw GPS data from tier-1 apps, SDKs, and aggregators of mobile devices to provide customers with accurate, up-to-the-minute information on human movement. Ideal for ad tech, planning, retail analysis, and transportation logistics, Veraset's Movement data helps in shaping strategy and making data-driven decisions.

Veraset’s North American Movement Panel: - United States: 768M Devices, 70B+ Pings - Canada: 55M+ Devices, 9B+ Pings - Mexico: 125M+ Devices, 14B+ Pings - MAU/Devices and Monthly Pings

Uses for Veraset's Mobile Location Data: - Advertising - Ad Placement, Attribution, and Segmentation - Audience Creation/Building - Dynamic Ad Targeting - Infrastructure Plans - Route Optimization - Public Transit Optimization - Credit Card Loyalty - Competitive Analysis - Risk assessment, Underwriting, and Policy Personalization - Enrichment of Existing Datasets - Trade Area Analysis - Predictive Analytics and Trend Forecasting

Success.ai’s Phone Number Data offers direct access to over 50 million verified phone numbers for professionals worldwide, extracted from our expansive collection of 170 million profiles. This robust dataset includes work emails and key decision-maker profiles, making it an essential resource for companies aiming to enhance their communication strategies and outreach efficiency. Whether you're launching targeted marketing campaigns, setting up sales calls, or conducting market research, our phone number data ensures you're connected to the right professionals at the right time.

Why Choose Success.ai’s Phone Number Data?

Direct Communication: Reach out directly to professionals with verified phone numbers and work emails, ensuring your message gets to the right person without delay. Global Coverage: Our data spans across continents, providing phone numbers for professionals in North America, Europe, APAC, and emerging markets. Continuously Updated: We regularly refresh our dataset to maintain accuracy and relevance, reflecting changes like promotions, company moves, or industry shifts. Comprehensive Data Points:

Verified Phone Numbers: Direct lines and mobile numbers of professionals across various industries. Work Emails: Reliable email addresses to complement phone communications. Professional Profiles: Decision-makers’ profiles including job titles, company details, and industry information. Flexible Delivery and Integration: Success.ai offers this dataset in various formats suitable for seamless integration into your CRM or sales platform. Whether you prefer API access for real-time data retrieval or static files for periodic updates, we tailor the delivery to meet your operational needs.

Competitive Pricing with Best Price Guarantee: We provide this essential data at the most competitive prices in the industry, ensuring you receive the best value for your investment. Our best price guarantee means you can trust that you are getting the highest quality data at the lowest possible cost.

Targeted Applications for Phone Number Data:

Sales and Telemarketing: Enhance your telemarketing campaigns by reaching out directly to potential customers, bypassing gatekeepers. Market Research: Conduct surveys and research directly with industry professionals to gather insights that can shape your business strategy. Event Promotion: Invite prospects to webinars, conferences, and seminars directly through personal calls or SMS. Customer Support: Improve customer service by integrating accurate contact information into your support systems. Quality Assurance and Compliance:

Data Accuracy: Our data is verified for accuracy to ensure over 99% deliverability rates. Compliance: Fully compliant with GDPR and other international data protection regulations, allowing you to use the data with confidence globally. Customization and Support:

Tailored Data Solutions: Customize the data according to geographic, industry-specific, or job role filters to match your unique business needs. Dedicated Support: Our team is on hand to assist with data integration, usage, and any questions you may have. Start with Success.ai Today: Engage with Success.ai to leverage our Phone Number Data and connect with global professionals effectively. Schedule a consultation or request a sample through our dedicated client portal and begin transforming your outreach and communication strategies today.

Remember, with Success.ai, you don’t just buy data; you invest in a partnership that grows with your business needs, backed by our commitment to quality and affordability.

Comprehensive dataset of mobile ecommerce statistics including global sales percentages, conversion rates, traffic data, and growth trends from 2017-2025

Forecast: Mobile Phones Market Size Volume in Germany 2024 - 2028 Discover more data with ReportLinker!

Mobile Phones Market Size Volume Per Capita in Germany, 2023 Discover more data with ReportLinker!

During a 2024 survey conducted in the United States, among respondents who were smartphone users over the age of 55, less than 30 percent spent one to four hours on their smartphone per week. This is in stark contrast to respondents aged between 18 and 34, the majority of which spent between 40 or more hours a week on their phones.

Context

Bob has started his own mobile company. He wants to give tough fight to big companies like Apple,Samsung etc.

He does not know how to estimate price of mobiles his company creates. In this competitive mobile phone market you cannot simply assume things. To solve this problem he collects sales data of mobile phones of various companies.

Bob wants to find out some relation between features of a mobile phone(eg:- RAM,Internal Memory etc) and its selling price. But he is not so good at Machine Learning. So he needs your help to solve this problem.

In this problem you do not have to predict actual price but a price range indicating how high the price is

Mobile Phones Market Size Volume in France, 2023 Discover more data with ReportLinker!

Analysis of ‘Mobile Price Classification’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/iabhishekofficial/mobile-price-classification on 21 November 2021.

--- Dataset description provided by original source is as follows ---

Context

Bob has started his own mobile company. He wants to give tough fight to big companies like Apple,Samsung etc.

He does not know how to estimate price of mobiles his company creates. In this competitive mobile phone market you cannot simply assume things. To solve this problem he collects sales data of mobile phones of various companies.

Bob wants to find out some relation between features of a mobile phone(eg:- RAM,Internal Memory etc) and its selling price. But he is not so good at Machine Learning. So he needs your help to solve this problem.

In this problem you do not have to predict actual price but a price range indicating how high the price is

--- Original source retains full ownership of the source dataset ---

📱 Mobile Phones Under ₹50,000 in India 📱

Dataset Description

This dataset contains detailed information on mobile phones priced under ₹50,000 in India, collected from popular online marketplaces. The data was scraped using Beautiful Soup, a powerful web scraping library in Python. This dataset aims to provide insights into the pricing, features, and customer opinions on various mobile phone models available in the Indian market.

📊 Columns

• 📱 Product_Name: The name of the mobile phone model. This includes the brand and specific model identifier, which can help users identify and differentiate between various mobile phones.

• 💰 Prices: The price of the mobile phone in Indian Rupees (₹). This column provides the cost of each mobile phone, enabling users to compare prices across different models and brands within the ₹50,000 budget range.

• 📝 Description: A brief overview of the mobile phone's key features and specifications. This includes details such as screen size, camera quality, battery life, processor type, and other important attributes that define the mobile phone's capabilities.

• ⭐ Reviews: Customer reviews and ratings for each mobile phone model. This column includes actual user feedback, providing insights into the performance, reliability, and user satisfaction of the mobile phones.

🌐 Data Source

The data was collected from multiple popular online marketplaces to ensure a comprehensive coverage of the market. The use of Beautiful Soup allowed for efficient extraction of relevant information from the web pages.

🔍 Usage

This dataset can be used for various purposes including:

• 📈 Market Analysis: Analyzing trends and patterns in mobile phone prices and features under the ₹50,000 range in India.
• 💬 Customer Sentiment Analysis: Understanding customer opinions and satisfaction levels through reviews and ratings.
• 🔄 Product Comparison: Comparing different mobile phone models based on their specifications and prices.
• 🧠 Data Science Projects: Utilizing the dataset for machine learning models, data visualization projects, and other data-driven tasks.

🙏 Acknowledgments

Special thanks to the online marketplaces from which the data was scraped. The use of Beautiful Soup greatly facilitated the data collection process, making it possible to compile this dataset.

📜 License

This dataset is available for use under Apache 2.0, ensuring that it can be freely accessed and utilized for both personal and commercial projects, with proper attribution to the source.

We hope this dataset serves as a valuable resource for your data analysis and research projects related to mobile phones in India! 📊📱✨

This table provides a concise summary of the dataset columns along with their respective descriptions.

According to a survey conducted in 2024 in the United States, 30 percent of respondents stated that their children got their own cell phone when they were aged between 12 and 13. Furthermore, 20 percent of respondents stated their kids got their own device when nine or younger.

Forecast: Mobile Phones Market Size Volume in Italy 2023 - 2027 Discover more data with ReportLinker!

Forecast: Mobile Phones Market Size Value in Sweden 2024 - 2028 Discover more data with ReportLinker!