Brave Browser User Growth Statistics & Analytics

We inspect the last six months of Brave MAU and DAU growth and apply a linear regression to extend the series. Using a short lookback window keeps the forecast anchored to recent performance while smoothing single-month noise.

Momentum is sensitive to product decisions and macro events:

• Upside: new features such as Brave AI, major marketing pushes, or privacy legislation.
• Downside: slow release cycles, ecosystem contractions, outages, or regulatory friction.

Yes. The dashboard surfaces the DAU/MAU ratio, revealing what share of monthly Brave users return daily. Rising ratios signal stronger stickiness and rewards participation; falling ratios indicate lighter daily usage.

Whenever Brave publishes its monthly transparency report, we ingest the new numbers and regenerate all charts within minutes. If Brave issues an interim update after a product launch, we refresh manually that same day.

Absolutely. The live payload that drives this site lives at /data, so you can pipe the raw JSON into your own dashboards or notebooks.

Short-term forecasts are directional only. Historically the six-month MAU projection has landed within ±8% and DAU within ±12% as long as Brave’s environment remains stable. Sudden campaigns or market shocks can push the actual trajectory outside that envelope.

The Monte Carlo card draws 2,000 random paths using recent month-over-month MAU volatility. We display the median and the 10th/90th percentile bands across the next six months, giving you a probabilistic range instead of a single deterministic line. Actual results will wander within or outside that envelope depending on macro conditions.

Each reload reruns 2,000 random paths using the latest volatility, so the median and percentile bands wiggle as the random seed changes. Wider swings also come from underlying month-over-month variability widening or tightening in the data itself.