Inside Grab's efforts to map roads in 100 cities across Southeast Asia by next year; Grab's mapping team has grown to 250, of which 100 are based in India
In 2017, many months before its merger with Uber made it Southeast Asia's biggest ride-hailing app, Grab realized it had a “rendezvous” problem.
Context & Ripple Effects
Months after the merger that absorbed Uber's Southeast Asia business made Grab the region's dominant ride-hailing app, it hit a 'rendezvous' problem: drivers and riders couldn't reliably find each other on roads that existing map providers hadn't charted. The response was to build mapping in-house — a 250-person team, with 100 engineers based in India where mapping talent is cheaper to hire.
This 2018 push turned out to be foundational rather than incidental: six years later the same driver-, user-, and merchant-sourced approach had become GrabMaps, covering 500+ cities and adding over 800,000 km of missing roads to OpenStreetMap.
First-order effects
- Grab cuts its dependence on global map providers for the region, using its own drivers' GPS traces and merchant data to fill gaps in 100 cities by next year.
Second-order effects
- A proprietary map layer becomes shared infrastructure for Grab's expanding services — the same road data underpins GrabFood's regional rollout as much as ride-hailing pickups.
Third-order effects
- Owning detailed local road data is the prerequisite for autonomy: it is what makes Grab's multiyear May Mobility partnership to bring robotaxis to Southeast Asia feasible at all.
The trend: Ride-hailing platforms are vertically integrating their own geospatial data, turning a pickup-accuracy fix into the foundation for delivery logistics and eventually autonomous fleets.