Robotaxi: the comeback of a market on the road to scale

After the hype and the disillusionment of the last decade, the robotaxi is back, and this time on a steady and rapid growth path. Vehicle costs are falling, commercial services are expanding city by city, and the algorithms behind autonomous driving have reached the point where scaling a fleet is both technically feasible and economically defensible.
Yole Group’s Principal Analysts, Yu Yang and Pierrick Boulay, identify five factors jointly boosting the market, from a 70% reduction in vehicle bill-of-materials and manufacturing costs to the convergence of L2+ and L4 technology stacks.

Against this backdrop, Yole Group releases its latest report, Robotaxi 2026, offering both qualitative and quantitative analysis of this fast-growing industry, an in-depth review of the supply chain with a focus on key players, and an update on the latest technological progress, including AI, cost reduction, and the key enabling semiconductors behind it. Together with Yole Group’s wider automotive and robotics coverage, this new report gives decision-makers a unique ongoing view of the autonomous mobility industry through insightful, actionable analysis.

Thanks to this combination of technical and commercial progress, the global robotaxi fleet is forecast to grow to 331,000 vehicles in 2031, an average annual growth of 78%. The momentum will continue beyond that date, reaching a milestone of two million vehicles at a 57% CAGR. By then, robotaxis are expected to have a measurable impact on new light vehicle sales in the countries leading this transition, with a 4% impact in China and a 1% impact in the US.

Vehicle BOM and manufacturing costs have fallen by up to 70% on multiple models. The expansion of services is increasing revenue while optimized operations reduce costs. End-to-end algorithms provide a technically feasible and economically efficient path to scaling operations. ‘Hybrid’ mode allows robotaxis and driver-based ride-hailing to serve customers seamlessly, promoting robotaxi rides. The convergence of L2+ and L4 also leverages massive volumes of real-life L2+ data for model training.

But it is not alone. Indeed, Waymo is closely followed by Pony.AI, WeRide, and Apollo Go, in a ranking that remains highly dynamic. The survivors of the industry’s dark years are now in the fast lane, each with a distinct model.

Waymo is quickly expanding its commercial fleet in the US while testing in the UK and Japan. Apollo Go runs the largest fleet, with almost full coverage in some Chinese cities. Uber has given up in-house development but cooperates with multiple players across several countries, while DiDi has stopped in-house vehicle development and turned to vehicles co-designed with GAC. WeRide is expanding globally and combining L4 robotaxi and L2+ ADAS stacks, Pony.AI has reached unit economics in two Chinese cities with synergies between robotaxis and robotrucks, and Zoox has its released its purpose-built robovan for commercial operation in the US.
Automotive OEMs, by nature, hold a position in the value chain. Tesla is launching its Cybercab, aiming for a share of the large market potential. XPeng is entering the robotaxi market with a foundation model shared with its AV programs and a dedicated vehicle model. Geely is leveraging vehicle manufacturing, including the base car supplied to Waymo, its own AV capability, and its Caocao mobility subsidiary. Most other OEMs cooperate with robotaxi players by co-developing or manufacturing vehicles, and sometimes by investing in them. Although most businesses start within their domestic market, competition is global: the US and China are both incubating giants, while Europe, the Middle East, and parts of Southeast Asia are the most favorable destinations for robo-X players from both countries.

Behind this momentum, key enabling semiconductors are directly impacted and are growing at a similar pace. The combined robo-X markets for sensors and processors will reach about $4.4 billion and roughly $4 billion, respectively, in 2035. As an extension of ADAS technologies, the supplier landscape largely overlaps with the leading ADAS names, both for processors and for the multiple sensing modalities, with the notable exception of vertically integrated players: Waymo with its own TPU, LiDAR, and radar, Tesla with its own SoC, and XPeng with its own SoC and power modules.

With the global fleet on track to reach 331,000 vehicles in 2031 and two million by 2035, the pace and direction of this new cycle have never been more critical for OEMs, robotaxi operators, semiconductor suppliers, and investors. The Robotaxi 2026 report from Yole Group provides the market intelligence and technology insights required to navigate this rapidly evolving landscape and identify future growth opportunities.
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[1] This figure does not include robotrucks and robobuses/shuttles.

Source: www.yolegroup.com