The global number of smartphone users in was forecast to continuously increase between 2024 and 2029 by in total *** billion users (+***** percent). After the fifteenth consecutive increasing year, the smartphone user base is estimated to reach *** 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 *** 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 the Americas and Asia.

Imagine waking up to the gentle buzz of your phone, checking the morning news, scrolling through messages, and booking your ride to work, all before even leaving your bed. This small routine speaks volumes about the place mobile phones hold in our lives today. By 2025, mobile phones aren’t just...

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

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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.

In 2021, the number of mobile devices operating worldwide stood at almost 15 billion, up from just over 14 billion in the previous year. The number of mobile devices is expected to reach 18.22 billion by 2025, an increase of 4.2 billion devices compared to 2020 levels.

Moving forward with 5G

As the number of devices grows, so does our dependence on them to fulfill daily functions and activities. The use cases for mobile devices increasingly demand faster connection speeds and lower latency. The 5G network will be critical to fulfilling those demands, operating at significantly faster rates than 4G. In North America, for example, it is expected that there will be 218 million 5G connections, up from just ten million in 2020. This means around 48 percent of all mobile connections in North America. Globally, this figure should reach 20.1 percent by 2025.

6G: looking beyond 5G

While 5G has entered commercialization and is already creating new opportunities, researchers and engineers are already experimenting with 6G. Not only will the number of mobile devices continue to grow but cellular internet-of-things (IoT) devices are set to permeate more industrial sectors in the coming years, meaning a solution will eventually be required for network congestion and data transfer speeds.

6G ought to be capable of solving those problems before they arise, potentially enabling a network connection density ten times greater than that of 5G, and peak data rates up to fifty times faster than the rate of 5G. The Federal Communications Commission in the United States has opened spectrum for experimentation, and China have already launched what is described as a 6G satellite, so that actual potential of 6G should be revealed over the coming decade.

Percentage of smartphone users by selected smartphone use habits in a typical day.

This dataset lists the most popular smartphones of 2023 in India gathered from Flipkart, one of the largest e-commerce platforms in the country.

The dataset can be used to identify which smartphones and price ranges are preferred by users, the impact of discounts, and how ratings vary.

Column Description

1. title - the name of the smartphone + color of the model + memory + RAM
2. price - price of the smartphone after discount
3. prod_rating - rating of the smartphone
4. rating_count - the number of people
5. discount - the discount offered in percentage
6. seller_rating - rating of the seller of that particular smartphone as rated by their buyer on the whole seller experience

Project Ideas

1) Extract information from the title like brand name, model, color, memory, and RAM. Use different strategies and see which works the best.

2) Correlation analysis - the price of the smartphone could be influenced by rating, number of ratings, discount, and seller rating.

3) Regression - build a regression model to predict the price of a smartphone, by using variables such as "prod_rating," "rating_count," "discount," and "seller_rating" as independent.

4) Visualizations - Get creative with visualizations, create an interactive dashboard, and create forecast charts.

Check out my other dataset on top-rated TV shows: https://www.kaggle.com/datasets/titassaha/top-rated-tv-shows

I write articles on data analysis and analytics, techniques, and document my learning process on my blog - https://emptyjar.in

Thanks.

The number of smartphone users in the Philippines was forecast to increase between 2024 and 2029 by in total 5.6 million users (+7.29 percent). This overall increase does not happen continuously, notably not in 2026, 2027, 2028 and 2029. The smartphone user base is estimated to amount to 82.33 million users 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).

Chad: Mobile phone subscribers, per 100 people: The latest value from 2023 is 70.19 subscribers per 100 people, an increase from 65.44 subscribers per 100 people in 2022. In comparison, the world average is 120.02 subscribers per 100 people, based on data from 156 countries. Historically, the average for Chad from 1960 to 2023 is 12.59 subscribers per 100 people. The minimum value, 0 subscribers per 100 people, was reached in 1960 while the maximum of 70.19 subscribers per 100 people was recorded in 2023.

this graph was created in R and Canva :

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Recent years have witnessed a rapid growth in the use of mobile devices, enabling people to access the Internet in various contexts. More than 77% of Americans now own a smartphone, with an increasing trend in terms of the time people spend on their phones. More recently, with the release of intelligent assistants such as Google Assistant, Apple Siri, and Microsoft Cortana, people are experiencing mobile search through a single voice-based interface. These systems introduce several research challenges. Given that people spend most of their times in apps and, as a consequence, most of their search interactions would be with apps (rather than a browser), one limitation is that users are unable to use a intelligent assistants to search within many apps.

This forecast shows the number of smartphone users in France from 2018 to 2024. For 2020, the number of smartphone users in France is estimated to reach 47.18 million, with the number of smartphone users worldwide forecast to exceed 2 billion users by that time. From 2018 to 2024 the number of smartphone users in France is expected to grow by close to four million users. This equates to a growth in the share of users by 26.26 percent. The data was calculated in July 2018 and covers all individuals of any age who own one or more smartphones and use at least one of those devices every month.

The leading operating system on the the French market is Android with a 75.6 percent market share followed by Apple's iOS with a 18.8 percent share. Most individuals without a smartphone still owned a regular mobile phone and only 7 percent of the population did not own either. The most common smartphone owned in January 2017 was the Apple iPhone 7 followed by the iPhone 7 Plus. The three most common activities carried out weekly with a smartphone were the use of search engines, checking email accounts, and visiting social networks.

The average for 2023 based on 156 countries was 120.02 subscribers per 100 people. The highest value was in Hong Kong: 319.49 subscribers per 100 people and the lowest value was in Papua New Guinea: 34.06 subscribers per 100 people. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

Quantitative and qualitative data sets for 24 sites across Ghana, Malawi and South Africa:
a) SPSS dataset on young people’s use of mobile phones in Ghana, Malawi and South Africa.  4626 cases (young people aged 7-25 years): 1568 Ghana; 1544 Malawi; 1514 South Africa.  719 variables (+ 11 ‘navigation facilitators’) b) 1,620 Qualitative transcripts from interviews with people of diverse ages, 8y upwards: individual interviews [using either i.theme checklist or ii call register checklist]; focus group interviews [not all sites]: 50-80 transcripts for most sites.

This research project, which commenced in August 2012, explored how the rapid expansion of mobile phone usage is impacting on young lives in sub-Saharan Africa. It builds directly on our previous research on children’s mobility within which baseline quantitative data and preliminary qualitative information was collected on mobile phone usage (2006-2010) across 24 research sites, as an adjunct to our wider study of children’s physical mobility and access to services.

In this study our focus is specifically on mobile phones and we cover a much wider range of phone-related issues, including changes in gendered and age patterns of phone use over time; phone use in building social networks (for instance to support job search); impacts on education, livelihoods, health status, safety and surveillance, physical mobility and possible connections to migration, youth identity, and questions of exploitation and empowerment associated with mobile phones.

Mixed-method, participatory youth-centred studies have been conducted in the same 24 sites as in our earlier work across Ghana, Malawi and South Africa (urban, peri-urban, rural, remote rural, in two agro-ecological zones per country). We have built on the baseline data for 9-18 year-olds gathered in 2006-2010, through repeat and extended studies, but also included additional studies with 19-25 year-olds (to capture changing usage and its impacts as our initial cohort move into their 20s).

license: apache-2.0 tags: - africa - sustainable-development-goals - world-health-organization - development

  Individuals who own a mobile telephone (%)





  Dataset Description

This dataset provides country-level data for the indicator "5.b.1 Individuals who own a mobile telephone (%)" across African nations, sourced from the World Health Organization's (WHO) data portal on Sustainable Development Goals (SDGs). The data is presented in a wide format, where each row… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/mobile-phone-ownership-for-african-countries.

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The aim of COSMOS is to carry out long-term health monitoring of a large group of people to identify if there are any possible health issues linked to using mobile phones and other wireless technologies over a long period of time. COSMOS Finland is a part of the broader COSMOS study, which is being undertaken in six European countries: Denmark, Finland, Sweden, the Netherlands, France and the United Kingdom. Around 13,000 participants aged 18 to 69 years were recruited in Finland and completed a baseline questionnaire from 2009 to 2011. Participants have completed follow-up questionnaires from 2014 to 2015 and 2020 to 2021, and are being followed up through linked data annually (including mobile phone and healthcare data). There are plans to follow the COSMOS cohort for up to 25 years or longer.

In 2022, the average data used per smartphone per month worldwide amounted to ** gigabytes (GB). The source forecasts that this will increase almost four times reaching ** GB per smartphone per month globally in 2028.

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North America registered the highest mobile data consumption per connection in 2023, with the average connection consuming ** gigabytes per month. This figure is set to triple by 2030, driven by the adoption of data intensive activities such as 4K streaming.

Sector: 01. Ending all forms of poverty in the world Algorithm: People aged 6 and over who use their mobile phones every day out of the total number of people aged 6 and over * 100 Phenomenon: Stock

Background: People experiencing substance use disorders (SUD) face myriad challenges in maintaining changes in substance use after treatment. Mobile phones can play a role in supporting the recovery process. To date, research has not explored how individuals use mobile phones to seek social support as they enter SUD recovery. Objectives: We sought to understand how individuals in SUD treatment use mobile technology in support of their recovery. Methods: We conducted semi-structured interviews with thirty individuals in treatment for any SUD in northeastern Georgia and southcentral Connecticut. Interviews explored participants’ attitudes toward mobile technology and how they used mobile technology while using substances, in treatment, and in recovery. Qualitative data were coded and analyzed using thematic analysis. Results: We identified three major themes related to how participants: (1) adapted their use of mobile technology as they entered recovery, (2) relied on mobile technology for social support while in recovery, while (3) some found aspects of mobile technology triggering. Many individuals in SUD treatment reported using mobile phones to buy or sell drugs; as such, they took measures to adapt their use of mobile technology as they changed substance use behaviors. As they entered recovery, individuals relied on mobile phones for affiliational, emotional, informational, and instrumental support, though some did share they found some aspects of mobile phones triggering. Conclusion: These findings highlight the importance of treatment providers engaging in conversations around mobile phone use to help individuals avoid triggers and connect with social supports. These findings uncover new opportunities for recovery support interventions utilizing mobile phones as a delivery mechanism.