Average screen time in 2026:
what the data actually shows

The typical online adult spends about 33½ hours a week consuming online media, including streaming TV, according to DataReportal's analysis of GWI's survey data, roughly 29% of their waking life¹. Of that, 18 hours and 36 minutes a week goes to social networks and video platforms such as YouTube and TikTok, roughly 16% of waking hours.

Table: Time spent online by the typical online adult (DataReportal Digital 2026, GWI data; daily and share figures calculated by Science of Apps from the weekly totals, assuming 16 waking hours a day)

Online media, typical online adult

~33½ h/week

Social and video feeds

18 h 36 m/week

Average Indian smartphone time in 2024 (EY)

~5 h/day

Share of teen well-being linked to tech use (Oxford, 2019)

0.4%

These figures come from GWI's survey of internet users, so they describe people who are online, not whole populations, and they are based on what respondents report rather than device logs¹. They count time with online media, which overlaps with other activities: someone can watch a stream while messaging. Total screen time, including work on laptops, is higher than these figures, and device-measured smartphone time can differ from self-reported time.

Country tables in DataReportal's reports show large differences in time online between countries². Because country figures are published as charts rather than text, and survey methods affect them, we have not reproduced them here; compare countries using the reports themselves.

India's figures are among the highest for smartphone use. EY estimated that Indians spent about 1.1 trillion hours on smartphones in 2024, an average of about five hours a day per user, and that close to 70% of that time went to social media, gaming and video, as reported by Bloomberg in March 2025³. Much of India's internet use is mobile-only: many users have never owned a computer, so the phone is the screen for work, payments, learning and entertainment.

Age and gender make a large difference. GWI's data, as analysed by DataReportal, shows women aged 16 to 24 spend an average of 25 hours and 45 minutes a week on social and video feeds, more than 3 hours 40 minutes a day, while male internet users over 65 still spend more than an hour a day on them¹.

The research picture is more nuanced than the headlines. In the most cited large study, published in Nature Human Behaviour in 2019, Oxford researchers Amy Orben and Andrew Przybylski analysed three large datasets covering 355,358 adolescents. They found a negative association between digital technology use and well-being, but it explained at most 0.4% of the variation in well-being⁵. In one dataset, wearing glasses had a larger negative association with adolescent well-being than social media use did⁶.

Small average effects don't mean no harm. They mean total hours are a weak predictor: some uses (late-night scrolling that cuts sleep, cyberbullying, comparison with others) are harmful for some people, while others (talking to friends, learning) can help. Researchers increasingly study what people do on screens and what it displaces, rather than the number of hours alone.

1. Look at the real number — iPhone: Settings, then Screen Time⁸. Android: Settings, then Digital Wellbeing & parental controls⁹.
2. Find the top three apps — most people's time concentrates in a few apps; those are where limits help.
3. Set app timers, not total limits — limit the feed apps, not maps, payments or messaging you need.
4. Protect the hour before sleep — use bedtime or downtime modes that grey the screen and silence notifications.
5. Turn off non-essential notifications — each alert is an invitation to reopen an app.
6. Make a family plan — paediatric guidance, such as the American Academy of Pediatrics' family media plan, helps set shared rules⁷.

The economics of apps reward time spent, but users increasingly notice and resent time they regret. Our post on infinite scroll covers how feed design stretches sessions, and regulators in the EU and New York are now treating some of those designs as harms. Products that respect time with clear endings, honest notifications and usage summaries build longer-term trust. A retention and churn audit helps teams find healthy reasons for people to return.

What we used. Weekly time figures and demographic splits come from DataReportal's Digital 2026 Global Overview Report, which analyses GWI's survey of internet users (self-reported, adults online). India's smartphone figure is EY's estimate as reported by Bloomberg. Health guidance is from the WHO; well-being research from Orben and Przybylski (2019).

What we calculated. Daily figures divide weekly totals by seven. Shares of waking hours divide weekly totals by 112 hours (16 waking hours a day), which reproduces DataReportal's own approximately 16% and 29% figures.

Limits. Survey data are self-reported and cover internet users only; the India figure comes from a different method and year (2024); we have not reproduced country-by-country tables because they are published as charts and their methods differ from the global figures. Data collected in October 2026.