PUBLISHER: QYResearch | PRODUCT CODE: 1916340
PUBLISHER: QYResearch | PRODUCT CODE: 1916340
This report examines the global humanoid robot industry as a strategic emerging segment within the broader "physical AI" landscape. Humanoid robots are defined here as anthropomorphic, AI-enabled robotic systems with human-like morphology (head, torso, arms, and in many cases legs), multi-degree-of-freedom limbs, and dexterous end-effectors, designed to operate in spaces, workflows and toolsets originally built for human workers. They embody the convergence of advanced mechatronics, high-performance computing, large-scale AI models and cloud connectivity into embodied agents capable of perception, reasoning, and action in unstructured environments. In this sense, humanoid robots represent one of the most advanced implementations of physical AI, where digital intelligence is tightly coupled with physical interaction in the real world.
From a product perspective, the report characterizes humanoid robots along three core dimensions. First, they are "anthropomorphically intelligent": high-parameter perception and decision models allow robots to understand scenes, recognize objects and people, and continuously improve task performance via data-driven learning loops. Second, they are "humanoid in morphology": the human-like body plan, including bimanual manipulation and (for many platforms) bipedal or hybrid legged mobility, is explicitly chosen to reuse existing human infrastructure, tools and ergonomics-such as gripping a screwdriver, opening doors, or operating standard control panels-minimizing the need for greenfield redesign of factories and facilities. Third, they are "broadly applicable": the same base platform, with appropriate software and tooling, can span factory assembly, warehouse handling, eldercare, inspection and even public-safety tasks in hazardous environments, enabling scale economics that traditional single-purpose industrial robots have struggled to achieve.
On the demand side, the report sizes the global humanoid robot market at approximately US$415.79 million in 2024 and projects it to grow to around US$29.08 billion by 2031. Over the 2025-2031 forecast period this implies a very high compound annual growth rate (CAGR) of roughly 59.3% in value terms, reflecting the transition from small-batch pilots to early scaled deployments in multiple industries. In volume terms, shipments are estimated at about 73,014 units in 2024, rising to approximately 1,290,266 units by 2031, corresponding to a volume CAGR of about 50.6% over the same period. As both volumes and manufacturing experience scale, the report anticipates a structural decline in average selling prices, driven by learning-curve effects in actuators and transmissions, electronics, batteries, and system integration, even as performance and reliability improve.
While the quantitative baseline in this study is built from proprietary bottom-up and top-down modeling, it is consistent with a broader external consensus that humanoid robotics is moving from speculative concept toward commercial reality. Multiple third-party market studies, although using different scope definitions and time horizons, point to sustained high growth-often in the range of 30-40%+ CAGR through 2030 for various humanoid segments-and envision a much larger addressable market by the 2030s and 2040s as technology and cost curves mature. Longer-term scenario work from global investment banks suggests that humanoid robots and their associated supply chains could represent a multi-trillion-dollar opportunity by mid-century, with tens or even hundreds of millions of units deployed worldwide in industrial, service and household settings.
The underlying demand drivers identified in the report are structural rather than cyclical. First, demographic aging and persistent labor shortages in key economies create gaps in physically demanding, repetitive and hazardous roles across manufacturing, logistics, healthcare and care work. Second, continuous advances in AI-especially large vision-language-action models and reinforcement learning-substantially improve robots' ability to perceive complex scenes, generalize across tasks and adapt on the fly, making humanoid formats more viable in unstructured environments that were previously reserved for humans. Third, enterprises face increasing pressure to improve safety, resilience and flexibility of operations, pushing them to consider robots that can be rapidly redeployed and retrained, rather than fixed-purpose automation that is costly to reconfigure. Finally, government industrial policies and funding programs in China, North America, Europe and parts of Asia-Pacific explicitly encourage robotics and physical AI as strategic sectors, further accelerating R&D and early commercialization.
Segmentally, the report structures the humanoid market around five primary application clusters: industrial production, warehouse & logistics, service & care, education & research, and public safety & rescue, with additional discussion of early commercial and entertainment use cases. In industrial production, humanoid robots target tasks where conventional industrial robots or cobots are either too rigid or too costly to reconfigure-examples include flexible assembly, machine tending, intra-factory material flow, line changeovers and brownfield modernization in plants built around human workers. Their human-like form factor allows them to share workcells, tools and fixtures with people, supporting gradual automation rather than wholesale process redesign. Over the forecast period, the report expects industrial production to emerge as one of the largest and fastest-growing application segments, as automotive, electronics, battery and machinery manufacturers move from lighthouse pilots to systematic deployment in selected workstations and lines.
In warehouse & logistics settings, humanoid robots complement or, in some scenarios, substitute mobile robots and automated storage systems. They are positioned for complex pick-and-place, case handling, palletizing and depalletizing, trailer unloading, and exception-handling tasks that still require human-like reach, dexterity and situational judgment. The report highlights strong interest from e-commerce fulfillment centers, third-party logistics providers and parcel hubs that face both rapid demand growth and difficulty recruiting and retaining staff for physically intensive, repetitive roles. As safety standards, throughput performance and total cost of ownership (TCO) improve, warehouse & logistics is expected to become one of the earliest domains where humanoids achieve large-fleet deployment, building on existing automation infrastructure rather than replacing it.
The service & care segment spans hospitality, retail, healthcare and residential care environments. Here, humanoid robots perform roles ranging from front-of-house reception, concierge and wayfinding to basic delivery, tedious administrative workflows, and selected non-clinical assistance tasks in hospitals and senior-care facilities. The report notes that in the medium term, the emphasis is more on augmenting human staff-taking over mundane or physically taxing subtasks-than on fully autonomous caregiving or customer interaction. Adoption in this segment will be shaped not only by technical capabilities but also by regulatory considerations, ethics and privacy, and the need to maintain high standards of human-centered care.
Education & research represents another important early adopter group. Universities, technical institutes and corporate R&D labs deploy humanoid platforms as standardized testbeds for embodied intelligence, human-robot interaction (HRI), locomotion and manipulation research. The report anticipates that humanoid robots will increasingly be bundled with simulation environments, curriculum content and cloud-based development platforms, turning them into holistic "physical AI labs" for students and researchers. This, in turn, should reduce integration friction and seed a global developer ecosystem around leading hardware and software stacks, accelerating innovation and creating lock-in advantages for early platform leaders.
Public safety & rescue is a smaller but strategically critical segment. Humanoid robots are well suited to operate in hazardous domains such as post-earthquake search and rescue, industrial accident response, nuclear decommissioning, and infrastructure inspection in dangerous environments. Their ability to navigate stairs, manipulate standard tools and interact with human-oriented interfaces makes them attractive for emergency agencies seeking to reduce risks to first responders. The report argues that although near-term volumes will be modest, public-safety deployments can drive important advances in robustness, teleoperation, autonomy and certification that will spill over into commercial products. Over the longer term, as performance is proven and regulatory frameworks mature, humanoids could become standard equipment for certain classes of high-risk missions.
From a product-architecture standpoint, the report segments the market into three main types: biped humanoid robots, wheeled humanoid robots, and wheel-legged or transformable platforms. Biped designs most closely mirror human locomotion and are well suited to environments with stairs, uneven ground and complex layouts, but are mechanically and computationally demanding. Wheeled humanoids combine a humanoid upper body with a wheeled lower chassis, trading off some terrain versatility for higher energy efficiency, simpler control and lower cost-making them attractive for factories and warehouses with mostly flat floors. Wheel-legged systems occupy an intermediate position, offering both rolling efficiency and stepping capability via complex, reconfigurable leg-wheel modules. The report expects biped platforms to dominate high-end, general-purpose deployments, while wheeled and hybrid designs capture cost-sensitive and application-specific niches, especially in logistics and indoor services.
Geographically, the report covers the global market with a focus on China, North America, Europe, Japan & Korea, the rest of Asia-Pacific, Latin America, and the Middle East & Africa. Early revenue pools and pilot activity are concentrated in China, North America and parts of Europe, driven by strong robotics ecosystems, industrial automation demand and access to capital. External market estimates for AI-powered humanoids suggest that North America currently commands a leading share of global revenue-over half in some 2024 snapshots-reflecting high levels of investment and early deployments in manufacturing and logistics, while China is widely expected to emerge as the largest single market over the longer term, supported by industrial policy, local supply chains and demographic pressures. Japan & Korea, along with emerging Asian manufacturing hubs, are also highlighted as important growth regions, particularly for export-oriented industrial clusters and high-end consumer electronics.
On the supply side, the report finds that the humanoid robot industry is already relatively concentrated, though highly dynamic. A core group of leading vendors-including both integrated technology giants and specialist robotics companies-accounts for a substantial share of 2024 revenues. In the high-end, full-size general-purpose segment, companies such as Tesla, Boston Dynamics, Figure AI and Agility Robotics are building platform strategies around vertically integrated hardware, proprietary AI stacks and large-scale pilot programs with blue-chip industrial customers. In the mid-range and value segments, vendors such as UBTECH, Unitree, Fourier and various emerging Chinese and global players are pushing aggressive cost-down roadmaps and application-specific variants targeted at logistics, services and education. The report emphasizes that competitive differentiation is shifting from pure hardware performance toward full-stack capabilities: motion planning and control software, safety systems, cloud orchestration, simulation and training pipelines, as well as service, maintenance and financing offerings. Real-world announcements-such as large automotive groups planning to deploy humanoid robots in production facilities from around 2028-provide early evidence that industrial customers are preparing for scaled adoption once safety, reliability and ROI thresholds are met.
The broader ecosystem analysis in the report maps an emerging value chain from key component suppliers (high-torque actuators, precision gears, sensors, batteries, compute modules and communication systems) through system integrators and platform providers to end-user industries. Upstream, advances in joint actuators, lightweight structural materials, high-density batteries and edge AI chips are critical to improving performance while lowering cost and power consumption. Midstream, platform companies are experimenting with business models ranging from one-off hardware sales to robotics-as-a-service, fleet-management subscriptions and software/content marketplaces for task skills and applications. Downstream, early adopters include automotive OEMs and their tier-1 suppliers, major e-commerce and logistics operators, industrial manufacturers pursuing "lights-out" or high-mix production, large hospitals and care institutions, and leading research universities. This multi-layered ecosystem is still in flux, but the report anticipates increasing consolidation around a small number of dominant hardware and software platforms over the next decade.
Methodologically, the study adopts a hybrid bottom-up and top-down approach. At the bottom-up level, the research team aggregates company-level data on humanoid robot shipments, revenues and prices from annual reports, investor presentations, product announcements, interviews and other primary sources, normalizing values to ex-factory prices (or best available proxies) and carefully excluding non-humanoid product lines. At the top-down level, these estimates are triangulated against macro indicators such as industrial automation spending, robotics penetration benchmarks, capital expenditure plans, policy frameworks and disclosed pilot pipeline information. The model reports historical data from 2020 onward, uses 2024 as the base year, and produces forecasts for 2025-2031 by segment (type, application, region and country), with explicit scenario assumptions and Delphi inputs from industry experts.
Finally, the report acknowledges key uncertainties and risks. These include the pace of AI progress and its translation into robust embodied capabilities, the trajectory of component and system costs, safety incidents or regulatory setbacks that could delay deployments, customer acceptance and labor relations considerations, and the possibility of over-investment leading to near-term shake-outs among vendors. Nevertheless, the central finding is that humanoid robots-when viewed as general-purpose physical AI platforms rather than isolated products-are poised to become a strategically important layer in the global automation stack. Over the coming decade, their deployment is likely to reshape segments of manufacturing, logistics, services, education and public safety, while laying the groundwork for even broader adoption in household and everyday environments beyond the 2031 horizon of this study.
Market Segmentation
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Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size (valve, volume and price). This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Solar Thermal (CSP) manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Sales, revenue of Solar Thermal (CSP) in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 7: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 8: Conclusion.