How $OUST actually competes in the market:
30,000 ft view + lidar adoption curve.
Four different pools:
1. Automotive OEM: fastest growing & mainly Chinese
2. Western Automotive/Robotaxi: their main auto opportunity
3. Automation, Robotics, Mapping: largest revenue pool
4. Smart Infra: software entry point
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1. Automotive OEM:
Chinese car makers are standardizing 2-5 lidars per vehicle across their 2025-2027 models.
Companies like: BYD, Li Auto, Xiaomi, Great Wall Motor, Changan, Leapmotor.
This is the high-volume, low-ASP market.
Hesai's AT series sells at ~$150-400 per unit + Chinese OEMs are now the primary demand driver.
Hesai shipped 1.62M units in FY25 (+223% YoY) and is guiding toward ~3M units in FY26.
Rough estimate is that Chinese firms hold ~90% of the total automotive lidar market.
$OUST has no material share here + cannot compete on price at this ASP level.
This is a deliberate decision to not compete though + not to be conflated as an operational failure on their part.
Seen some misinformation here recently, so had to highlight upfront.
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2. Western Automotive/Robotaxi:
This is $OUST's main automotive opportunity.
Waymo, Motional, Zoox, May Mobility, and Baidu Apollo all need good + safe lidar.
ASPs are ~$1k-$5k per sensor depending on performance tier.
Volume is lower but design wins are multi-year.
$OUST has the Motional relationship (via Velodyne Alpha Prime inheritance)
And the Rev8/DRIVE Hyperion qualification, which directly addresses this pool.
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3. Industrial Automation, Robotics, Mapping:
$OUST's largest revenue generator currently.
Warehouse AGVs: Vecna Robotics, Cyngn, Balyo
Autonomous mining: Komatsu
Mobile robots
Professional mapping/survey
ASPs are ~$500-$3K per sensor.
Volume is growing at 30-50% annually.
This is less geopolitically sensitive than 1 & 2 above, but still subject to Chinese competition from the low end.
The Komatsu multi-yr deal (2025) is the example:
A multinational OEM paying a premium for a sensor qualified to its operations e.g. extreme dust/vibration/temps.
W/ a guaranteed 10-yr supply life.
And on robotics/physical AI: "The multibillion-dollar opportunity for functionally safe devices is a brand new area for us to expand in"
Pretty big TAM expansion coming like we all know.
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4. Smart Infrastructure
- traffic management
- pedestrian safety
- crowd analytics
- intelligent transportation systems
All represent Ouster's BlueCity/Gemini market.
Global TAM for smart traffic sensors = ~$19B
This has the highest software attach rate + highest switching cost once deployed.
And U.S. federal funding tailwinds too.
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Then for my view on where Lidar adoption is rn:
- Automotive OEM (China): Early majority -> Late majority. 3M+ units/year in 2026. Past the adoption knee.
- Western Automotive: Early adopter -> Early Majority. ~150,000-300,000 units globally in 2026. Waymo commercialization ramp + European regulatory approvals for L3 are probs the inflection triggers.
- Industrial Robotics: Early majority. AGV/AMR penetration is accelerating. Humanoid catalyst (Figure, Agility, Unitree) adds new demand beginning 2027.
- Smart Infra: Innovators -> Early adopter. Sub-5% of U.S. intersections deployed with lidar. TAM capture is still early.
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As mentioned, just a *very* high level view.
There are ofc other nuances like their Fujifilm partnership which is v. bullish for colour lidar sensors for physical AI / robotics.
$IONQ Nice post by IonQs SVP of Field Engineering. In short, he challenges the industry to put up or shut up by answering the following questions:
➡️ How will your technology scale?
➡️ How will it be mass manufactured?
➡️ What much will it cost?
The main reason I am bullish on IonQ versus its competitors is because they are only company IMO that has been able to answer all three questions.