Robotaxis Are Forecast to Become a $400 Billion Market in 2035

Goldman Sachs Research sees the autonomous vehicle market scaling to about $415 billion globally by 2035, with US robotaxi revenue reaching $19 billion in 2030 and $48 billion in 2035. The firm also forecasts AV trucking to become a $560 billion global market by 2035, with US revenue of $16 billion in 2030 and $105 billion in 2035, while robotaxi fleet size rises from about 7,000 vehicles last year to 6 million in 2035. The report is broadly constructive on AV commercialization, highlighting falling per-mile costs, improving margins, and a potential $300 billion AI-linked revenue pool by 2035.

Analysis

The key read-through is that this is not a single “AV winner” story but a staged monetization cycle: near-term revenue capture accrues first to the companies that own the fleet, then to those controlling high-reliability compute, mapping, sensors, fleet software, and charging/maintenance infrastructure. The market is still underpricing how much of the gross profit pool will be competed away by price cuts before any one operator reaches scale; the first meaningful margin compression is likely to show up in local markets where multiple fleets chase the same density and utilization targets. That makes the most durable economics likely to sit with enablers that sell picks-and-shovels into every OEM/operator rather than with the lowest-cost ride provider itself.

The second-order loser is the legacy auto value chain if personal ownership remains sticky but unit economics shift toward higher-spec vehicles with autonomy subscriptions. That scenario is less bearish for total vehicle demand than for mix: more software attach, higher content per unit, and potentially fewer low-margin fleet sales than bulls assume. For trucking, the inflection matters more than the headline TAM because even partial adoption on long-haul corridors can pressure driver wages, broker margins, and trailer utilization long before full autonomy is widespread.

The biggest risk to the bullish narrative is timing mismatch: cost curves can improve faster than regulation, insurance underwriting, and municipal permitting, but revenue realization can lag for years. A second risk is that falling ride prices expand demand enough to keep personal ownership intact, limiting the terminal vehicle-sales downside while also slowing the market-share takeover many investors are modeling. In that case, the opportunity shifts from a platform winner-take-most to a broader productivity upgrade, which is good for semis, cloud, and automotive software but less compelling for any one robotaxi equity story.

Consensus is likely too focused on unit counts and too little on utilization economics. The real upside surprise is not 6 million vehicles by 2035; it is whether each vehicle runs enough paid miles to compress payback into a venture-scale time frame. If utilization disappoints, the market will re-rate this as a capital-intensive mobility business rather than a software-led AI platform, and the multiples should compress accordingly.

Key Decisions for Investors

• Stay long GS on pullbacks as an optically small but strategically useful beneficiary of the commercialization cycle; use as a 6-12 month pair leg versus lower-quality auto exposure if management commentary turns more constructive on capital markets activity tied to AV/software rollouts.
• Initiate a basket long in AV enablers over pure robotaxi operators: NVDA, QCOM, ADBE/ANET-type infrastructure beneficiaries where applicable, with a 12-24 month horizon; risk/reward is better because multiple operators must spend regardless of who wins the consumer layer.
• Short a basket of legacy auto suppliers and rental/fleet-exposed names most sensitive to mix and resale pressure over 12-18 months; the trade works if autonomy shifts value from hardware volume to software/content and if used-vehicle pricing softens from higher-utilization fleets.
• For a tactical expression, buy medium-dated call spreads on trucking software/telematics or short freight brokers if liquid; the setup is a 12-24 month corridor where autonomous trucking pressure arrives before broad labor displacement is visible in reported volumes.
• Avoid paying up for pure-play robotaxi leaders into hype-driven ramps; the better entry is after the first evidence of city-level price wars or utilization misses, when the market realizes gross margins are more fragile than TAM narratives imply.