Estimation question
How many apps are in the Apple App Store or Android Playstore?
- Estimation
- Easy
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What this question tests
Tests estimation using a supply-side approach (developer output) rather than guessing a headline number directly.
How to approach it
- Choose an approach: estimate via number of active developers and average apps published per developer, rather than guessing the store total directly.
- Assume roughly 20 million registered app developers globally across both platforms combined, based on known developer program scale.
- Assume an average of 1.5 to 2 apps published per active developer, accounting for many one-off or abandoned apps alongside prolific publishers.
- Multiply: 20 million developers times roughly 1.75 apps per developer gives approximately 35 million total apps across both stores.
- Sanity-check by comparing to publicly known figures (each major store has historically reported roughly 2 to 3.5 million live apps) and reconcile the gap by noting many apps are removed or inactive over time.
What a strong answer includes
- Uses a supply-side estimation method (developers times apps per developer) instead of guessing the final number outright.
- Explicitly reconciles the estimate against known public figures and explains the gap (delisted, abandoned, or duplicate apps), showing critical self-checking.
- States assumptions clearly, e.g. 'assume 1.75 apps per active developer', so each link in the logic is inspectable.
- Distinguishes cumulative apps ever published from currently live apps, since the question could mean either.
Common mistakes
- Quoting a remembered headline number without showing any derivation.
- Not distinguishing between total apps ever published and currently live apps in the store, which are very different numbers.
Likely follow-up questions
- How would your estimate change if you accounted for app removal rates over time?
- Which of your assumptions has the widest error range, and why?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 2: Data fluency: SQL, logs, and reading the truth yourself
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop