According to the latest global humanoid robot tracking report released by International Data Corporation (IDC), global humanoid robot shipments reached nearly 25,000 units in the first half of 2026, representing a year-over-year increase of 432.1%, as the industry advances further from technology validation toward commercial application exploration.
Application scenarios continue to expand, accelerating into industrial manufacturing, retail, transportation and logistics, leisure and tourism, and household consumption. At the same time, industry competition is gradually shifting from hardware performance to comprehensive embodied intelligence capabilities. IDC projects that global humanoid robot shipments will exceed 750,000 units by 2030, with the market entering a phase of accelerated large-scale application development.
Global Humanoid Robot Market Sustains Explosive Growth, Expected to Surpass 750,000 Units by 2030
Since the beginning of 2026, the global humanoid robot market has maintained a high-growth trajectory, with industry development advancing further from technology validation toward commercial application exploration. IDC data shows that in the first half of 2026, global humanoid robot shipments reached nearly 25,000 units, up 432.1% year-over-year, while market size exceeded US$740 million, up 322.7% year-over-year.
Amid rapid market growth, positive changes are occurring on both the supply and demand sides of the humanoid robot industry. On one hand, application exploration in industrial and logistics sectors continues to accelerate, with leading manufacturers continuously expanding production capacity. On the other hand, small-sized humanoid robots targeting individual consumers have begun to emerge in the Chinese market, with the household and personal market gradually becoming a new potential growth space. In addition, embodied intelligence large models are iterating rapidly, continuously improving robots' ability to understand complex environments, make decisions, and execute tasks, providing technical support for expanding humanoid robots into more application scenarios.
Based on continuously improving supply capabilities, accelerating expansion of application scenarios, and the gradual opening of the consumer-grade market, IDC has revised upward its long-term global humanoid robot market forecast, projecting that global humanoid robot shipments will exceed approximately 750,000 units by 2030, an increase of about 50% from its previous forecast. IDC believes that the future global humanoid robot market will gradually form a growth pattern driven by multiple forces including industrial applications, commercial services, and the consumer market, with the market advancing further from "technological feasibility" toward "large-scale application and commercial value validation."
China Becomes a Key Engine for Global Humanoid Robot Market Growth
IDC data shows that in the first half of 2026, China's humanoid robot market maintained rapid growth, with shipments exceeding 19,000 units, up 426.3% year-over-year, accounting for approximately 77.9% of the global market and becoming a key driver of global humanoid robot market growth.
The rapid development of China's market is partly attributable to continued policy support. Since the beginning of 2026, local governments, industrial parks, and state-owned enterprises have continued to increase support for the humanoid robot industry, accelerating the transition of humanoid robots from technology research and development to practical application through building innovation platforms, publishing application scenarios, and promoting procurement and deployment. On the other hand, China possesses a relatively complete humanoid robot industry chain and a vibrant manufacturer ecosystem. Complete machine manufacturers, component suppliers, AI model companies, and system integrators are accelerating collaboration, driving continuous iteration in core components, complete machine manufacturing, and intelligent capabilities, with product costs and mass production efficiency steadily improving.
At the same time, Chinese manufacturers are becoming an important force in global humanoid robot market growth. In the first half of 2026, Chinese manufacturers accounted for over 95% of global shipments, with multiple Chinese manufacturers entering the leading tier of global shipments, and leading manufacturers maintaining rapid progress in product iteration, mass production delivery, and application deployment.
From the perspective of market development path, China is forming a market development model driven jointly by "policy promotion, industry collaboration, and application traction." As applications in automotive, 3C, logistics, energy, and other industries continue to advance, China is expected to maintain its important growth position in the global humanoid robot market and become a key market driving the large-scale development of the global industry.
Application Scenarios Continue to Expand, Humanoid Robots Accelerate Entry into Multiple Industries and Household Consumer Market
As humanoid robot product maturity improves and application exploration deepens, the market application boundary is continuously expanding. In the first half of 2026, the combined shipment share of application scenarios including scientific research and education, performance and display, and government (data collection centers) decreased from 83.8% for the full year of 2025 to 69%, with the application structure becoming more diversified.
Among these, scientific research and education scenarios continue to expand downward, extending from university research to vocational colleges and primary and secondary school artificial intelligence education. The share of performance and display applications has declined somewhat. Government data collection center construction remains an important current shipment direction.
At the same time, humanoid robots are accelerating their extension into more industries including industrial manufacturing (automotive manufacturing, high-tech and electronics, other industrial manufacturing, aerospace, etc.), retail, transportation and logistics, and leisure and tourism, with manufacturers and industry users continuously advancing scenario validation and commercial application exploration.
Industrial manufacturing is an important direction for current humanoid robot application exploration. Industries such as automotive manufacturing, high-tech and electronics, and other industrial manufacturing have relatively clear intelligentization needs and semi-structured operating environments, providing more deployment opportunities for humanoid robots to enter real production processes. Manufacturers including AGIBOT, Ubtech, and Galbot are focusing on industrial sector deployment.
Meanwhile, more application exploration is beginning to emerge in service industries such as retail, transportation and logistics, and leisure and tourism, with humanoid robots extending further into service-oriented work scenarios.
Notably, actual shipments have also begun to appear in the household consumer market. Manufacturers are launching small-sized, low-cost humanoid robots and reaching individual consumers through e-commerce and other channels, providing functions such as children's education and personal companionship. As personal companion robots further kick off in the second half of 2026, consumer-grade products are expected to drive the expansion of humanoid robot user groups from enterprises and institutions to individual consumers.
Overall, humanoid robots are gradually moving from technology validation in a few industries into more industries and end-consumer scenarios. The continuous expansion of application scope is becoming an important factor driving market size growth and further broadening the market boundary of humanoid robots.
Embodied Intelligence Technology Accelerates Evolution, Manufacturer Competition Extends from Hardware to Intelligent Capabilities
Humanoid robots are entering a critical stage of transition from "hardware capability competition" to "comprehensive embodied intelligence capability competition." With the rapid development of large models, world models, vision-language-action models (VLA), and robot data closed-loop technologies, the industry's competitive focus is gradually shifting from robot structural design, motion performance, and hardware parameters to comprehensive capabilities including robots' understanding of the physical world, task planning, operational execution, and continuous learning.
From a technological development perspective, humanoid robots' embodied intelligence capabilities are not constituted by a single model capability but are formed jointly by multiple dimensions, mainly including: Cognitive Intelligence: physical world perception, understanding, reasoning, and task planning capabilities; Motion Intelligence: motion generation, whole-body coordination, dynamic movement, and complex environment adaptation capabilities; Manipulation Intelligence: perception-action closed loop, dexterous manipulation, and tool use capabilities; Interaction Intelligence: human-robot interaction, environmental interaction, and multi-agent collaboration capabilities; Data Intelligence: real-world data collection, simulation data, data governance, and continuous learning capabilities; AI Engineering: model deployment, software-hardware collaboration, and AI system engineering capabilities; AI Ecosystem: model, data, development tools, hardware, and application partner ecosystem; AI Deployment Maturity: capabilities from laboratory validation to real-scenario deployment, continuous operation, and large-scale application.
With the continuous evolution of technologies such as VLA and world models, the above capabilities are accelerating their integration. Manufacturers have also begun to gradually build complete technology systems covering models, data, engineering, and applications from single technology breakthroughs, driving robots to evolve from executing preset programs to understanding environments, autonomously planning, and completing complex tasks.
Currently, different manufacturers show differentiated development in embodied intelligence technology routes and capability building. Some manufacturers place greater emphasis on foundation models and cognitive capabilities, some strengthen motion control intelligence, and others continue to invest around data closed loops, AI engineering, and practical deployment. However, as technology systems gradually mature, capability advantages in a single dimension will be difficult to form long-term competitive barriers, and manufacturers need to gradually fill in multi-dimensional capabilities including cognition, motion, manipulation, interaction, data, AI engineering, ecosystem, and deployment.
In the future, competition among humanoid robot manufacturers will gradually move from the current differentiated technology routes toward comprehensive competition in multi-dimensional embodied intelligence capabilities and large-scale deployment capabilities.
"IDC China Research Manager Li Junlan believes that overall, the global humanoid robot market in the first half of 2026 has maintained a high-growth trajectory, with the industry advancing further from technology validation toward commercial application exploration. China, with policy promotion, industry collaboration, and application traction, has become an important engine for global market growth. Application scenarios continue to extend from scientific research and education, performance and display to industrial manufacturing, retail, transportation and logistics, leisure and tourism, and household consumption. Manufacturer competition is also gradually shifting from hardware performance to comprehensive embodied intelligence capabilities. With the rapid iteration of embodied intelligence large models, supply chain maturity, and continuous cost improvement, humanoid robots are expected to complete commercial value validation in more real scenarios and enter a phase of accelerated large-scale application development around 2030. In the future, whoever can more quickly establish a closed loop of 'technology-data-engineering-scenarios' will be better positioned to take the initiative in the next stage of competition."