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  1. Home
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  3. /AI Apps and the App Store in 2026: What 1,490 Listings Reveal
By Tony WangTony WangJune 14, 202612 min read

AI Apps and the App Store in 2026: What 1,490 Listings Reveal

1,490 AI apps on the App Store: 84% launched since ChatGPT, the median has 171 ratings, and five apps hold nearly half. The AI app gold rush, charted.

Data StudyAI AgentsApp Store

Key takeaways

  • The gold rush is real: of ~1,490 discoverable 'AI' apps on the App Store, 84% launched in 2023 or later — more in 2023 alone (488) than in every prior year combined (236).
  • But the takeover skipped the top chart. Only 6–8% of the Top 100 free apps are AI — the same handful (ChatGPT, Claude, Gemini, Meta AI) on both Apple and Google. The flood is in the catalog, not the rankings.
  • It's a free-install, subscription business: AI is 0% of the top paid chart, yet ChatGPT is the #1 top-grossing app on the iPhone.
  • Five apps, half the ratings. The distribution is brutally unequal (Gini 0.95): ChatGPT alone holds 22% of all AI-app ratings and the top 5 hold 45%. The median AI app has just 171 ratings; two-thirds have under 1,000.
  • Built by an army of one-app developers: ~1,300 developers for ~1,490 apps, 90% shipping a single app, a quarter carrying template 'AI…/Chat…' names. 30 of the top 50 results for 'chatgpt' aren't even made by OpenAI.
  • Honest caveat: most of these apps aren't bad — they're ignored. The long tail is unrated, not one-star, and we make no quality claim from store ratings.

Everyone agrees AI ate the App Store. The interesting question is where it took a bite — and the answer is not the one the headlines imply. So instead of vibes, we pulled the listings: about 1,490 distinct "AI" apps from Apple's App Store, the full top charts across nineteen categories, Google Play's install counts, and a sample of reviews — all in June 2026.

A method note, with the usual irony: we read the stores through a structured web-data API. Both Apple and Google rate-limit and fingerprint plain scrapers, and Google Play hides install counts behind rendered pages — which is exactly why a maintained, structured API beats hand-scraping. (Caveats are at the end; the short version: this is a US-storefront snapshot, "AI app" is a tagging judgment call, and the corpus is the discoverable head of the market, so every concentration figure below is a lower bound.)

The gold rush is real

Start with supply. Tag every app whose name or maker signals AI, bucket by original release date, and the category simply materializes after ChatGPT:

Before 2023236all prior years
2023488ChatGPT year
2024301
2025324
2026141year-to-date
When the App Store's AI apps were first released (n=1,490). More launched in 2023 alone (488) than in every year before it combined (236); 84% launched in 2023 or later. 2026 is year-to-date. Hover a bar to isolate it.

84% of the AI apps we found launched in 2023 or later — more in 2023 alone than in the App Store's entire prior history of AI. That tracks the wider market: Appfigures put 2026 app releases up 60% year-over-year across both stores (and +80% on iOS alone), and Sensor Tower clocked AI-app downloads up 148% in 2025. AI didn't just grow; it became the default thing to ship.

But it skipped the top of the chart

Here's the twist. All that supply barely dented the rankings. On any given day, only a handful of the Top 100 free apps are AI-native — and it's the same handful on both stores: ChatGPT, Claude, Gemini, and Meta AI. The rest of the chart is the incumbents you'd have seen in 2019: streaming, banking, shopping, social.

What's distinctive is how AI monetizes. It's almost never a paid download — it's a free install wrapped around a subscription:

Top Paid0%

nobody pays up front for AI

Top Free~7%

of the Top 100 free apps

Top Grossing~10%

ChatGPT is the #1 grossing app

AI's share of each Apple Top 100 chart. Zero of the top paid apps are AI, but ChatGPT is the single #1 top-grossing app — AI's share of the money runs well ahead of its share of installs. Headcount is a judgment call; the direction is the point.

And the takeover is wildly uneven by category. AI saturated creative tooling and assistants, and barely touched anything transactional:

Photo & Video28%
Productivity27%
Reference12%
Music10%
Entertainment8%
Education7%
Utilities7%
Health & Fitness6%
Lifestyle6%
Social2%
Finance1%
Share of each category's Top 100 free chart that is AI (June 2026). Weather, Shopping, Navigation, Games and Food & Drink were all 0% — AI landed in creative tooling and assistants, not transactional apps. Hover a bar to isolate it.

Four apps ate the AI

Now the part that reframes everything. Across both stores, just four AI-native apps crack the Top 100 free chart — ChatGPT, Claude, Google Gemini, and Meta AI — and the ratings show how empty the space behind them is. Rank all 1,490 apps by rating count and the curve is almost vertical: ChatGPT alone holds 22% of every AI-app rating we counted; the five most-rated — ChatGPT, Canva, Google Gemini, Gauth, and Microsoft 365 Copilot — hold 45%; the top hundred hold 91%. (The two lists barely overlap — Claude and Meta AI top today's charts but trail on lifetime ratings, where big installed bases like Canva, Gauth and Copilot pile up; a rating count rewards reach and age as much as hype.)

Share of all AI-app ratings22.3% → 90.7%
0%50%100%
Top 1
22.3%
Top 3
37%
Top 5
44.6%
Top 10
56.4%
Top 25
70.3%
Top 50
81.7%
Top 100
90.7%
Cumulative share of all 35.7M ratings across 1,490 AI apps. Just five apps — ChatGPT, Canva, Gemini, Gauth, Copilot — hold 45%; the top 100 hold 91%. Gini coefficient 0.95 — near-total inequality. Hover a point to read the value.

The flip side of that curve is a vast, silent tail. The median AI app has just 171 ratings. Two-thirds have fewer than a thousand. Seven have more than a million. ChatGPT, with nearly eight million, has roughly forty-six thousand times the median app:

Under 1,000 ratings983 apps
1,000 – 10,000298
10,000 – 100,000156
100,000 – 1M46
Over 1 million7 apps
How many AI apps sit in each rating-count band. 983 of 1,490 (two-thirds) have under 1,000 ratings; only 7 clear a million. The median is 171. Most 'AI apps' are not bad — they're undiscovered. Hover a bar to isolate it.

That's the whole shape of the gold rush: a few prospectors struck a seam, and everyone else is panning an empty creek.

An AI app for every feeling

What are the other 1,480 apps? Mostly the same few ideas, copied. Cluster the corpus by what each app does and it's a narrow menu — assistants, photo generators, and an enormous pile of AI companions:

General assistant / chatbot30%
Photo & art generator26%
Companion / roleplay14%
Study / homework helper11%
Video generator9%
Writing7%
Voice / calling2%
Music1%
What the 1,490 AI apps actually do, by share. A third are general chatbots; another quarter are photo/art generators; one in seven is an AI companion. Hover a bar to isolate it.

An app farm, not an ecosystem

The 1,490 apps come from about 1,300 developers — and 90% of them ship exactly one app. Nearly a quarter of all titles match a template name (they start with "AI " or are some permutation of "Chat / Bot / Assistant / GPT"). This isn't a thousand teams solving a thousand problems; it's a thousand wrappers around the same few APIs, racing to rank for the same keywords.

You can see the keyword race most clearly around one word: ChatGPT. Apple polices literal name-spoofing — the fake "ChatGPT 5.0 Official" apps that surface in search autocomplete don't survive into the ranked results. So the clones adapted: instead of copying the name, they copy the intent. Of the top 50 results for the query "chatgpt," 30 are not made by OpenAI — a combined 3.7 million ratings, all free, fronted by anonymous LLCs and overseas studios wrapping the OpenAI API behind a paywall (the busiest of them is the very same one-developer "app farm" that tops our corpus).

And the reviews are where the wrapper model shows its seams. These are recent reviews — the apps' lifetime ratings stay high — but the same complaint recurs across the clone tier: a surprise subscription you didn't mean to buy.

"I accidentally paid for this app instead of the ACTUAL Chat GTP that I can actually CHAT with…" — one-star review of a ChatGPT-wrapper app

"I was charged around $200 AUD for this app despite barely using it… I didn't even recognise the name when the charges appeared and had to Google it to work out what it was." — one-star review of the same app

"They initially said it is free of charge and the credit card is used only for age verification; once the card details are given, immediately they charge USD 39.99." — one-star review of a 'ChatGPT' clone

To be clear, this is the pattern at the wrapper tier, not a verdict on AI apps generally — plenty of users love the real thing ("ChatGPT is truly the best — I cannot imagine how I lived life without it"). But it's the predictable economics of a market where a thousand near-identical apps compete for installs and monetize on the way in.

Android tells a slightly different story

One more cut, because Google Play exposes something Apple won't: real install counts. Run the same analysis there and the concentration is just as steep — but the king is different. On Android, Gemini, not ChatGPT, leads, and four apps clear a billion installs:

Google Gemini1.9B
Microsoft 365 Copilot1.56B
Picsart1.42B
ChatGPT1.33B
Canva736M
Remini598M
Perplexity123M
Google Play install counts (the figure Apple never publishes). On Android, Gemini outranks ChatGPT, and the top five hold 68% of AI-app installs. Caveat: Gemini and Copilot are widely preinstalled and bundled on Android, which inflates installs versus an organic download like ChatGPT's. Hover a bar to isolate it.

It's a neat illustration of home-field advantage — Google ships Gemini with Android, the way Apple would if it had a comparable app — and a reminder that "most popular AI app" depends entirely on which store you measure.

How we did this (and the caveats)

We pulled App Store and Google Play listings, charts, and reviews through a structured API in June 2026, on the US storefront. The AI corpus is ~1,490 unique apps gathered by paginating searches across a dozen AI seed terms; the chart and category figures come from the live top-100 lists. Caveats worth stating plainly: "AI app" is a tagging judgment — we required a strong signal (an explicit "AI"/"GPT"/assistant marker or a named AI brand) rather than the bare word "chat," which over-counts messaging and dating apps. The corpus is the discoverable head, not a census — store search has a relevance floor, so the true long tail is even longer and the real inequality even higher than the Gini of 0.95 we measured. Release dates are the original bundle's first release, so apps that added AI later (Canva, Picsart, Snapchat) read older than their AI debut; the pure-play 2023+ chatbots are the clean "AI-native" cohort. Rating count is a proxy for scale, not exact installs (which Apple doesn't expose and Google reports in buckets). And we make no claim that low-rating apps are bad — most simply have no traction, which is a different thing from a bad review.

If you're wondering how we read charts and reviews that block plain scrapers: that's the day job. Crawlora is a web-data API for AI agents and pipelines that returns normalized JSON for the App Store, Google Play, search engines, marketplaces, and social platforms — handling proxies, rendering, and anti-bot — and bills pay-on-success. The same approach powers our Product Hunt trends study and our anti-bot adoption index.

Sources

  • Appfigures — app release growth, 2026 (via TechCrunch)
  • Appfigures — Rise of AI Apps report 2025
  • Sensor Tower — State of AI Apps 2025
  • eWeek — ChatGPT tops Apple App Store downloads in 2025
  • Crawlora — App Review Analyzer (free tool)

Read the App Store, Google Play, and the rest as clean JSON

Crawlora turns app stores, search engines, marketplaces, and social platforms into normalized JSON — handling proxies, rendering, and anti-bot — and bills pay-on-success. 2,000 free credits a month, no card.

Web data for AI agentsSee pricing

Frequently asked questions

How many AI apps are on the App Store?

Thousands, and rising fast — we found about 1,500 discoverable ones, and 84% of them launched in 2023 or later. But it's a long tail: the median AI app has just 171 ratings and roughly two-thirds have fewer than 1,000, so most have very little traction.

What is the most popular AI app?

ChatGPT, by a wide margin. On iOS it has nearly 8 million ratings — about 22% of all AI-app ratings we measured — and it is the #1 top-grossing iPhone app. On Android, Google Gemini leads on installs (~1.9 billion), helped by being bundled with the OS.

Is the App Store full of AI apps now?

In supply, yes; on the charts, no. Only about 6–8% of the Top 100 free apps are AI, and it's the same handful (ChatGPT, Claude, Gemini, Meta AI) on both Apple and Google. The flood is in what gets listed, not what ranks.

Which app categories did AI take over?

Mostly creative tooling and assistants. AI is about 28% of the Photo & Video top chart and 27% of Productivity, with smaller footholds in Reference (translators) and Music. It is essentially absent — 0% — from Weather, Shopping, Navigation, Games and Food & Drink.

Are most AI apps any good?

Most simply get no traction rather than bad reviews — the median has only 171 ratings. About a quarter are template 'AI…/Chat…' wrappers, 90% come from single-app developers, and 30 of the top 50 results for 'chatgpt' aren't even made by OpenAI. We make no quality claim from store ratings, which stay high for the apps people actually use.

How was this measured?

By pulling App Store and Google Play listings, top charts, and reviews through Crawlora's structured web-data API (US storefront, June 2026) and aggregating them. The stores rate-limit plain scrapers and Google Play hides install counts, so a structured API is how you read them at scale. Figures are a point-in-time snapshot and a lower bound on the true market.

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About the author

Tony Wang

Tony Wang · Founder, Crawlora

Tony Wang is the founder of Crawlora and a senior software engineer with 9+ years across backend, cloud infrastructure, and large-scale web crawling — including distributed scrapers that have collected millions of profiles. He writes about web scraping, SERP and MCP APIs, and AI-agent data workflows.

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