In the second quarter of 2025, mobile devices (excluding tablets) accounted for 62.54 percent of global website traffic. Since consistently maintaining a share of around 50 percent beginning in 2017, mobile usage surpassed this threshold in 2020 and has demonstrated steady growth in its dominance of global web access. Mobile traffic Due to low infrastructure and financial restraints, many emerging digital markets skipped the desktop internet phase entirely and moved straight onto mobile internet via smartphone and tablet devices. India is a prime example of a market with a significant mobile-first online population. Other countries with a significant share of mobile internet traffic include Nigeria, Ghana and Kenya. In most African markets, mobile accounts for more than half of the web traffic. By contrast, mobile only makes up around 45.49 percent of online traffic in the United States. Mobile usage The most popular mobile internet activities worldwide include watching movies or videos online, e-mail usage and accessing social media. Apps are a very popular way to watch video on the go and the most-downloaded entertainment apps in the Apple App Store are Netflix, Tencent Video and Amazon Prime Video.

As of the second quarter of 2025, approximately **** percent of internet users worldwide accessed the web via smartphones, making them the most commonly used device for going online. Laptops and desktop computers ranked second, with nearly ** percent of users. Online video consumption In 2023, texting and watching online videos were among the most popular activities for smartphone users worldwide. By the first quarter of 2024, ** percent of internet users globally were watching online videos monthly. TikTok is a prime example of this trend, as it became the platform where U.S. adults spent more daily time than on any other social media app as of June 2023. Gaming and live-streaming Video game streaming has become a leading trend in watched video content, accounting for ** percent of online reach by the fourth quarter of 2024. This growth is driven mostly by the shift from single player to multiplayer gaming. For example, the multiplayer game Grand Theft Auto V was the most-watched game, with over *** million monthly watch hours across live-streaming platforms in June 2024. On Twitch alone, gamers watched over *** billion hours of live-streamed content in the first quarter of 2024.

LinkedIn has become a central hub for professional networking, career development, and B2B marketing. As the platform evolves, the balance between mobile and desktop usage is shifting, influencing how users interact with content and how advertisers design their campaigns. From corporate recruiters reviewing profiles on desktops to sales professionals networking...

This statistic displays the share of households in Turkey that accessed the internet via a desktop or portable computer from 2004 to 2014. In 2014, 42 percent of households used a desktop or portable computer to access the internet.

This statistic presents the average daily time spent online by internet users worldwide from 2011 to 2021, sorted by device. According to Zenith Optimedia, in 2018, the average daily minutes of desktop internet consumption per capita amounted to 39 minutes and is projected to slowly decline until 2020. However, daily mobile internet consumption is set to increase to 155 minutes in 2021.

This web map visualizes the prevalence of households in a given geography that do not own a computer, smartphone, or tablet. Data are shown by tract, county, and state boundaries -- zoom out to see data visualized for larger geographies. The map also displays the boundary lines for the jurisdiction of Rochester, NY (visible when viewing the tract level data), as this map was created for a Rochester audience.This web map draws from an Esri Demographics service that is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2014-2018ACS Table(s): B28001, B28002 (Not all lines of ACS table B28002 are available in this feature layer)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 19, 2019National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -555555...) have been set to null. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small. NOTE: any calculated percentages or counts that contain estimates that have null margins of error yield null margins of error for the calculated fields.

Obtained from the Digital Nation Data Explorer. Data Explorer enables tracking of metrics about computer and Internet use over time. It allows metrics to be broken down by demographics and by state and viewed as either percentages of the population or estimated numbers of people or households.

This statistic displays the share of households in Italy that accessed the internet via a desktop or portable computer from 2005 to 2014. In 2014, 66 percent of households in Italy used a desktop or portable computer to access the internet.

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SELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES COMPUTERS AND INTERNET USE - DP02 Universe - Total households Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 The 2008 Broadband Improvement Act mandated the collection of data about computer and internet use. As a result, three questions were added to the 2013 American Community Survey (ACS) to measure these topics. The computer use question asked if anyone in the household owned or used a computer and included four response categories for a desktop or laptop, a smartphone, a tablet or other portable wireless computer, and some other type of computer. Respondents selected a checkbox for “Yes” or “No” for each response category. Respondents could select all categories that applied. Question asked if any member of the household has access to the internet. “Access” refers to whether or not someone in the household uses or can connect to the internet, regardless of whether or not they pay for the service. If a respondent answers “Yes, by paying a cell phone company or Internet service provider”, they are asked to select the type of internet service.

As of the third quarter of 2024, approximately **** percent of internet users in the United States went online via any kind of mobile phone, while **** percent reported doing so via smartphones. By comparison, laptop or desktop internet access was reported by around **** percent of respondents. Additionally, **** percent of U.S. internet users reported going online with their laptop or desktop device, while around ** percent reported doing so with a work laptop. Smartphone usage in the United States During the past years, the number of smartphone users in the United States has increased. According to recent data, 85 percent of the adults in the country own a smartphone. This has led to high competition between the biggest manufacturers in the field. Apple is the leading manufacturer in the U.S., with a market share of ** percent, followed by Samsung and Motorola/Lenovo. Meanwhile, there is more competition when it comes to operating systems. Apple iOS, which is used on all devices created by Apple, and Google Android, which is used for Samsung devices, have the biggest user share. Usage of other devices in the U.S. Smart home devices have become popular in recent years. It is projected that in 2025 the penetration rate for Smart Home segments like control and connectivity, as well as security, will grow up to ** and ** percent respectively. For users in the United States, the most common device for watching shows or movies was a TV set. According to the research, more than ** percent of the respondents spent more than 20 hours weekly in front of a TV. In comparison, the majority of those who watched shows or movies on a computer, tablet, or smartphone spent less than an hour weekly on such activity.

As of the third quarter of 2024, almost 57 percent of the total daily time spent online by internet users was via mobile devices, including smartphones and feature phones. The remaining 43.2 percent of the time, they used computers. Five years before that, the picture was quite different, as smartphones comprised around 47 percent of the daily internet usage time.

Internet users (per 100 people) Internet users are individuals who have used the Internet (from any location) in the last 12 months. Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.

SourceInternational Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates. License Open Aggregation Method: Weighted average Development Relevance: The digital and information revolution has changed the way the world learns, communicates, does business, and treats illnesses. New information and communications technologies (ICT) offer vast opportunities for progress in all walks of life in all countries - opportunities for economic growth, improved health, better service delivery, learning through distance education, and social and cultural advances. Today's smartphones and tablets have computer power equivalent to that of yesterday's computers and provide a similar range of functions. Device convergence is thus rendering the conventional definition obsolete. Comparable statistics on access, use, quality, and affordability of ICT are needed to formulate growth-enabling policies for the sector and to monitor and evaluate the sector's impact on development. Although basic access data are available for many countries, in most developing countries little is known about who uses ICT; what they are used for (school, work, business, research, government); and how they affect people and businesses. The global Partnership on Measuring ICT for Development is helping to set standards, harmonize information and communications technology statistics, and build statistical capacity in developing countries. However, despite significant improvements in the developing world, the gap between the ICT haves and have-nots remains. General Comments: Please cite the International Telecommunication Union for third-party use of these data. Limitations and Exceptions: Operators have traditionally been the main source of telecommunications data, so information on subscriptions has been widely available for most countries. This gives a general idea of access, but a more precise measure is the penetration rate - the share of households with access to telecommunications. During the past few years more information on information and communication technology use has become available from household and business surveys. Also important are data on actual use of telecommunications services. Ideally, statistics on telecommunications (and other information and communications technologies) should be compiled for all three measures: subscriptions, access, and use. The quality of data varies among reporting countries as a result of differences in regulations covering data provision and availability. Discrepancies may also arise in cases where the end of a fiscal year differs from that used by ITU, which is the end of December of every year. A number of countries have fiscal years that end in March or June of every year. Periodicity: Annual Statistical Concept and Methodology: The Internet is a world-wide public computer network. It provides access to a number of communication services including the World Wide Web and carries email, news, entertainment and data files, irrespective of the device used (not assumed to be only via a computer - it may also be by mobile phone, PDA, games machine, digital TV etc.). Access can be via a fixed or mobile network.

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Table of INEBase Use of computer and internet by children aged 10-15 years and place of use in the last 3 months and mobile phone by autonomous communities and cities. Autonomous City and Community. Survey on Equipment and Use of Information and Communication Technologies in Households

This statistic shows the share of households in Latvia that accessed the internet via a desktop or portable computer from 2004 to 2014. In 2004, 10 percent of households used a desktop or portable computer to access the internet. This number increased to 72 percent in 2014.

Mobile has become the main way to access online content. Mobile devices now account for 55% of the global market share of online access with desktops coming in second place at 43%.

As of October 2025, China had the highest number of internet users in the Asia-Pacific region, at around 1.3 billion. India followed closely, with 1.03 billion internet users. China and India were leading within the Asia Pacific region and had the highest number of internet users worldwide. The Asia-Pacific (APAC) region had the largest number of internet users globally; however, internet penetration in Asia was still below the global average. Internet usage patterns in APAC The Philippines leads the region in average daily time spent using the internet in the Asia Pacific region, at around nine hours online each day. For emerging markets like Thailand, China, Indonesia, and the Philippines, over 60 percent of online time occurs on mobile devices. In contrast, users in more developed markets such as South Korea, Singapore, and Australia tend to have a more balanced distribution of internet time between mobile and desktop. In Japan, internet users reported spending around 57 percent of online time on computers, compared to around 43 percent on mobile devices. This contrast highlights the diversity of internet usage behaviors across the Asia-Pacific region, shaped by varying levels of digital infrastructure, economic development, and consumer preferences. Mobile internet development in APAC Mobile internet has experienced considerable growth worldwide and in the Asia-Pacific region throughout recent years. Since 2015, the number of mobile internet subscribers in APAC has doubled. At the same time, mobile internet download speeds in APAC have improved markedly, with countries like South Korea, China, and Singapore leading the region in performance. As a result, mobile internet user penetration across APAC was forecasted to increase steadily through 2030.

Statistics of how many adults access the internet and use different types of technology covering: home internet access how people connect to the web how often people use the web/computers whether people use mobile devices whether people buy goods over the web whether people carried out specified activities over the internet For more information see the ONS website and the UKDS website.

Rapid technological innovations over the past few years have led to dramatic changes in today's mobile phone technology. While such changes can improve the quality of life of its users, problematic mobile phone use can result in its users experiencing a range of negative outcomes such as anxiety or, in some cases, engagement in unsafe behaviors with serious health and safety implications such as mobile phone distracted driving. The aims of the present study are two-fold. First, this study investigated the current problem mobile phone use in Australia and its potential implications for road safety. Second, based on the changing nature and pervasiveness of mobile phones in Australian society, this study compared data from 2005 with data collected in 2018 to identify trends in problem mobile phone use in Australia. As predicted, the results demonstrated that problem mobile phone use in Australia increased from the first data collected in 2005. In addition, meaningful differences were found between gender and age groups in this study, with females and users in the 18–25 year-old age group showing higher mean Mobile Phone Problem Use Scale (MPPUS) scores. Additionally, problematic mobile phone use was linked with mobile phone use while driving. Specifically, participants who reported high levels of problem mobile phone use, also reported handheld and hands-free mobile phone use while driving.

The study charted Finnish Internet use, online behaviour, and use of consumer electronics and mobile devices. The study was produced in collaboration by the Finnish Broadcasting Company (YLE) and 15/30 Research. The data are freely available on the Internet and licensed under Creative Commons license (CC BY-NC-SA 3.0). The data creators have expressed their wish that any publications based on the data are linked to Finnish Broadcasting Company's 'Kehitys kehittyy' blog (http://blogit.yle.fi/kehitys-kehittyy/suomalaiset-verkossa-2013-puhelin-valloittaa-itselleen-lisaa-tilaa-suomalaisten) and that data users cite the original study. The respondents were first asked how important various media were for them personally (e.g. news websites, social media, television services, peer-to-peer networks, books) and to what extent they agreed with a number of statements relating to news and media (e.g. "I'm worried about excessive media commercialisation"). Importance of various reasons and motivations for using the Internet were charted (e.g. "I search for the latest information on something", "I reminisce old times"). The respondents were asked how often they did different things on the Internet (e.g. write on forums, download music and series etc., use instant messaging services, use social media). Some questions investigated the respondents' mobile phone use for different purposes, and whether the respondents owned a Smart TV and used online services on it. Various media websites and online services regularly used by the respondents were charted. Relating to Facebook, the respondents were asked to what extent they played games of Facebook, had more than one profile, were worried about how corporations or other people used their personal information, kept in touch with relatives and family over Facebook, liked companies or brands, and received information about hobbies or interests. Finally, computer use was investigated as well as opinions on the Finnish Broadcasting Company (YLE) and its services. Background variables included the respondent's gender, age, household composition, education, economic activitity and occupational status, province of residence, and type of municipality of residence.