The Chinese humanoid robot rental market has undergone a material price correction since Q1 2025. Average daily rental rates for mid-tier units (e.g., Unitree G1) have declined from a peak of ยฅ8,000โยฅ12,000 (USD $1,000โ$1,700) to a current range of ยฅ4,000โยฅ6,000 (USD $500โ$850).
Machine dog rentals have similarly declined from ยฅ2,000โยฅ3,000/day (USD $130โ$200/day) to ยฅ500โยฅ1,000/day (USD $35โ$70/day).This represents a 40โ60% reduction from peak pricing levels.
The decline follows a period of extreme supply constraint and speculative demand in early 2025, driven primarily by viral media exposure on the internet and Chinese national events (e.g., Spring Festival Gala). During that period, unit prices for Unitree G1 robots were marked up by 100โ150% over MSRP, with lead times extending to 60+ days.
๐ค Unitree Still Owns 80% of the Fleet โ And Thatโs the Strategy
Market concentration remains high. Unitree dominates the rental fleet, accounting for 70โ80% of inventory among major operators. Secondary players include EngineAI (PM01), UBTECH, Agibot, and Noetix. Brand recognition is the primary selection criterion for end clients โ 70% of inquiries specify Unitree by name, often referencing its media appearances rather than technical specs.
Supply-side dynamics have improved. Unitree and other manufacturers have increased production capacity and expanded access to EDU versions, reducing procurement premiums. Operators no longer pay 2x MSRP to secure inventory.

๐ง Rental Is Dead. Service Is Alive.
The market is transitioning from pure rental to hybrid service models. Leading operators now bundle:
- Equipment rental
- Technical support
- Custom programming
- Event logistics
- Training for client-side operators
Some operators have begun direct sales, particularly for lower-cost units (e.g., Noetix’s Bumi at ยฅ9,998 โ USD$1,400). However, sales activity remains secondary to rental revenue and is primarily used to expand client touchpoints and data collection.
๐ Outbound Rentals? Not a Scalable Business
Export activity remains limited. High logistics costs, customs clearance uncertainty, lack of local repair infrastructure, and regulatory non-compliance risks have constrained international deployments. Only short-haul Asian markets (e.g., Thailand, Vietnam) and high-margin, fully prepaid events are pursued.
End-user demand is increasingly driven by institutional sectors:
- Corporate events (product launches, exhibitions)
- Cultural festivals and tourism promotions
- Educational institutions (Kโ12 and universities)
- Retail and hospitality (brand experience zones)

Institutional adoption is accelerating, particularly in tech-adjacent regions such as Hangzhou and Shanghai, where students and educators demonstrate familiarity with specific robot models and specifications.
The key risk to the rental model is demand saturation. Current use cases are predominantly experiential โ โattention-grabbingโ rather than โvalue-generating.โ If no material shift occurs toward functional, repeat-use applications (e.g., retail assistance, elder interaction, logistics support), the market may face a structural decline as novelty wanes.
No operator has yet demonstrated a scalable, non-event-based use case that justifies sustained deployment. Until then, the market remains dependent on event-driven demand cycles.
Investment Implications:
A year ago, people made money just by buying robots and renting them out at high prices โ it was like flipping concert tickets. Thatโs over. Now, itโs not about how many robots you own. Itโs about how well you use them.The cheapest robots now cost less than ยฅ10,000 (about $1,400). Anyone can buy one. So the edge isnโt in owning hardware โ itโs in making those robots do something valuable for clients.
As an investor, pay more attention to related startups around the following field:
- Software that lets non-engineers program them
- Attachments (like stable trays or speakers) that fix their weaknesses
- Local teams that can support and maintain them fast
The next big winners wonโt be selling robots. Theyโll be selling reliability, ease of use, and seamless service โ wrapped around a robot.



