How Grab built GrabMaps by using data from drivers, users, and merchants in 500+ Southeast Asian cities, adding 800,000+ km of missing roads to OpenStreetMap
The super-app uses its own drivers and cameras to create hyperlocal maps in eight countries. — • JAKARTA, INDONESIA Mastodon: @sohkamyung@mstdn.io . X: @pitdesi and @anupkaphle . Forums: Hacker News Mastodon: Soh Kam Yung / @sohkamyung@mstdn.io : Nice. Grab contributes their mapping data to OpenStreetMap. — “The data from drivers, consumers, and merchants in more than 500 cities in Southeast Asia has helped add more than 800,000 kilometers of missing roads to OpenStreetMap, the open-source mapping platform, according to Grab. … X: Sheel Mohnot / @pitdesi : Emerging market challenges: Grab (Uber for SE Asia) had to deal with inaccurate maps and complex streets, leading to delays and upset customers. They created a custom-built camera for drivers that maps streets, and GrabMaps is now the provider for Bing, Amazon & others. [image] Anup Kaphle / @anupkaphle : Asian delivery giant Grab is using its 5 million drivers to create hyperlocal maps — and going after Google Michelle Anindya's reporting from Jakarta, with photos by Muhammad Fadli https://restofworld.org/... Forums: Hacker News : Grab built its own map in Southeast Asia, and is now going after Google
Context & Ripple Effects
Grab’s mapping program has progressed from its earlier effort to map roads across 100 Southeast Asian cities to a broader data operation spanning eight countries. The company now positions that work not only as an internal capability but as an input to OpenStreetMap and external map-data customers.
The development sits in a longer contest over who controls the mapping layer, after rival mapping efforts sought to limit Google’s dominance. Grab’s operating network gives it a distinct source of street-level information in markets where base maps can be incomplete.
First-order effects
- OpenStreetMap gains road coverage from Grab’s contributed data, improving the available map base in the cities covered.
- Grab turns data gathered through its drivers, users, merchants, and vehicle cameras into a map product that also supplies Bing and Amazon.
Second-order effects
- Bing, Amazon, and OpenStreetMap users can draw on a fuller regional road network without each independently building equivalent local collection operations.
- The contribution raises the value of Grab’s existing fleet and merchant network: operating data can support both its own services and a separate map-data business.
Third-order effects
- If this model persists, ride-hailing and delivery platforms can become durable producers of local digital infrastructure, not merely buyers of third-party maps.
- More open-map contributions could make mapping competition less dependent on a single global provider, though the usefulness of that alternative will hinge on continued data freshness and coverage.
The trend: Platform companies are converting operational data from real-world networks into reusable infrastructure products for external customers and open ecosystems.