Waymo Picks Singapore for First Southeast Asia Robotaxi Market

Waymo Picks Singapore for First Southeast Asia Robotaxi Market

Waymo plans to launch fully autonomous robotaxi rides in Singapore in 2028, marking its first entry into Southeast Asia. Source: Waymo

Waymo plans to launch robotaxis in Singapore in 2028, testing its self-driving system against local roads, monsoon weather, and regional rivals.

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Kezia Jungco
Kezia Jungco
Sep 18, 2026

Waymo is taking its robotaxi ambitions to Singapore, giving Southeast Asia its first planned Waymo market and the company a new test of whether its U.S.-built autonomous-driving system can adapt to very different roads and weather.

Alphabet’s self-driving unit plans to begin fully autonomous, all-electric ride-hailing in Singapore in 2028, subject to regulatory approval. Before then, Waymo will spend 2027 mapping roads and adapting the Waymo Driver to local traffic patterns, road geometry, and monsoon conditions.

The expansion puts Asia at the center of Waymo’s next international phase. The company is also preparing to enter Tokyo in 2027, making Singapore another important test of how well its technology travels beyond U.S. cities.

How Waymo’s Singapore rollout will work

Waymo is partnering with Singapore’s Ministry of Transport and Land Transport Authority. According to Reuters, its first Jaguar I-PACE vehicles are expected to arrive in the coming months as the company establishes local operations.

The rollout will happen in stages:

  • Coming months: Waymo’s first electric vehicles will arrive in Singapore.
  • 2027: Trained specialists will manually drive them while Waymo maps local roads and adapts its system to Singapore conditions.
  • 2028: Fully autonomous public rides are expected to begin, pending regulatory approval.

CNA noted that testing will start in western Singapore around Labrador and Harbourfront, with potential uses including work commutes, weekend trips, and service to industrial areas with fewer transport options. The government sees autonomous vehicles as a supplement to trains, buses, taxis, and private-hire cars, particularly after public transport hours or in areas drivers may be less willing to serve.

Waymo enters an already crowded Singapore AV market

Waymo will not have Singapore to itself.

Grab and Chinese autonomous-driving company WeRide already operate community AV rides in Punggol, while Grab plans to expand its autonomous fleet from 10 to 50 vehicles. Fortune also reported partnerships involving WeRide and Pony AI, adding US-Chinese competition to Singapore’s growing autonomous-vehicle market.

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Singapore also gives Waymo a chance to prove that experience accumulated in US cities can transfer to a different climate, road network, and regulatory system. Waymo says its Driver uses lidar, cameras, and radar for a 360-degree view and has logged more than 300 million kilometres on public roads.

The company also reports 94% fewer injury-causing crashes than human drivers covering the same distance in the US cities where it operates. Waymo’s US figure does not guarantee similar results in Singapore, where its system must still adapt to local road layouts, monsoon conditions, and traffic patterns.

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Singapore will give Waymo a long runway to prove that its autonomous-driving system can adapt beyond the U.S. before public rides begin in 2028.

The market also offers something broader: a tightly regulated test environment where Waymo, Grab, WeRide, and other autonomous-driving companies can be measured against the same roads, weather, and transport expectations.

If the rollout succeeds, Singapore could become an important reference point for how robotaxi services expand across the rest of Southeast Asia.

For more on how robotaxi services are rolling out in other markets, see how Uber and Wayve launched the UK’s first supervised robotaxi rides in London with 15 electric vehicles.

Kezia Jungco

Kezia Jungco is a technology writer and researcher specializing in artificial intelligence, data analytics, CRM software, cloud infrastructure, cybersecurity, and emerging business technologies. With more than five years of experience evaluating software platforms and technology solutions, she helps business leaders understand the tools and trends shaping the future of work. Kezia has extensive hands-on experience testing and analyzing generative AI platforms, chatbots, natural language processing (NLP) tools, CRM systems, and business software. Her work focuses on translating complex technologies into practical insights that help organizations make informed decisions about technology adoption, operational efficiency, and digital transformation. As a staff writer for TechnologyAdvice, Kezia covers AI innovation, business applications of machine learning, data-driven technologies, cloud computing, cybersecurity, and sales technology. Her background in journalism, research, and education enables her to combine rigorous analysis with clear, accessible reporting for both enterprise and consumer audiences. Kezia holds a bachelor's degree in Development Communication with a major in Development Journalism from the University of the Philippines Los Baños. She has also completed professional training in artificial intelligence, data privacy, and information security. Her work has been featured in TechnologyAdvice, TechRepublic, eWeek, Datamation, and Selling Signals, where she helps readers navigate a rapidly evolving technology landscape with practical, research-driven guidance.