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How Big Is Social Media Now — And Why That Question Is Already Obsolete

EPR Editorial TeamEPR Editorial Team1 min read
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How Big Is Social Media Now — And Why That Question Is Already Obsolete

In 2013, when this piece was first written, the question was Facebook and Twitter. Facebook had ~1.1 billion monthly users. Twitter had ~215 million. Marketers were still figuring out sponsored posts and paid likes.

By 2026 the numbers are unrecognizable.

The 2026 scale

More than 5 billion people use social media globally — roughly two-thirds of the planet. Facebook holds ~3 billion monthly users. YouTube ~2.5 billion. WhatsApp and WeChat both cleared 2 billion. Instagram, TikTok, Telegram, and X sit in the hundreds of millions to low billions.

The average user spends more than two hours a day on social platforms. In some markets — Philippines, Brazil, Nigeria — the average is over three hours.

Social media is no longer a channel. It is the default consumer information infrastructure of the world.

Why the question changed

Asking how big social media is stopped being interesting once the answer became: bigger than television, radio, and print combined. The new question is where attention actually converts — and where brand authority is now decided.

The answer in 2026: increasingly inside the AI answer engines. When a consumer types "best skincare routine for oily skin" into ChatGPT rather than Google or Instagram, the citation inside that answer matters more than the reach of a Reels campaign. Social media builds visibility. AI Communications builds authority. Both compound.

What still works from the 2013 playbook

The old advice — engagement over follower count, native content over cross-posted content, community over campaigns — still works. What changed is that social alone no longer wins the customer. The customer's next stop is the chatbot. Whoever gets cited there wins the sale.

Social Media · Generative Engine Optimization · AI Visibility

EPR Editorial Team
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EPR Editorial Team

The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.

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