China’s embodied intelligence sector saw strong Q1 2026 funding, led by early-stage hardware and component firms, while overseas expansion became mainstream, with Europe, Southeast Asia, and North America as key destinations.
In the first quarter of 2026, China’s embodied intelligence sector recorded a total of 197 financing events, involving 182 companies. From a monthly perspective, approximately 70 financings were completed in both January and March, while February temporarily declined to 56 due to the Spring Festival effect. In terms of financing stages, strategic investments and angel rounds together accounted for nearly half, while early-stage rounds up to Series A exceeded 65% in total, indicating that the industry as a whole remains in an early-stage capital expansion phase.
From the perspective of the industrial chain, embodied hardware (OEM) companies dominated with 114 firms, accounting for 63% and serving as the absolute core, covering a wide range of end products including humanoid robots, collaborative robots, drones, and service robots. There were 38 component companies, densely covering key segments such as six-axis force sensors and dexterous hands, which have long faced strong domestic substitution demand. Meanwhile, 25 software and AI companies were involved, primarily focusing on large models and embodied intelligence algorithms, with technological penetration continuing to accelerate.
Among embodied intelligence companies that secured financing, 45 were established less than one year ago, and 55 were established between one and three years ago. Together, these account for 55%, indicating that the embodied intelligence sector remains in an entrepreneurial window period. In 2025 alone, 44 new companies were founded and received financing. At the same time, 56 companies that have been established for more than five years also attracted capital in this round of financing. These firms are mostly deeply rooted players in niche fields such as industrial robots and sensors, and are leveraging the embodied intelligence wave to upgrade their businesses and reconstruct their valuations.
From a geographic perspective, Guangdong ranked first with 50 companies, followed by Beijing with 40. Shanghai had 26, Jiangsu 25, and Zhejiang 20. These five provinces and municipalities together accounted for 88% of the total number of funded companies. More specifically, Guangdong—especially Shenzhen—has strengths in hardware manufacturing and embodied hardware companies; Beijing is centered on AI large model and algorithm companies; while Shanghai has established a presence across both software and hardware segments.
Among the 182 embodied intelligence companies that secured financing, 73 have already expanded overseas, while another 21 are in the preparation stage, bringing the combined share to over 52%. This indicates that overseas expansion is evolving from a proactive choice made by leading firms into an industry-wide consensus. In terms of outcomes, whether a company goes overseas is no longer merely a matter of market preference, but is closely related to product maturity, position in the industrial chain, firm capabilities, and regional resources.
A further breakdown shows that software companies have a relatively higher rate of overseas expansion, reflecting their characteristics of being asset-light, easily replicable, and inherently global. Companies at later financing stages and those with longer operating histories also exhibit higher overseas expansion rates, suggesting that international expansion is typically built upon more mature product capabilities and stronger resource endowments.
From a geographic perspective, industrial clusters such as Beijing, Guangdong, Jiangsu, and Zhejiang are emerging as the primary hubs for embodied intelligence companies going global.
From the overseas destinations of embodied intelligence companies that secured financing in Q1 2026, Europe ranked first with 28 companies, while Southeast Asia and North America formed the second tier with 18 and 17 companies respectively. Japan and South Korea followed with 14 companies, and the Middle East, with 7 companies, has emerged as the fastest-growing new market. There are significant differences in the logic of market entry across regions.
In terms of application scenarios, AI infrastructure and developer ecosystems ranked first, largely benefiting from the inherently borderless nature of open-source models. Industrial manufacturing and production line scenarios came next, representing the largest application area for physical robots going overseas, with collaborative robots entering production line quality inspection roles as the most mature deployment model at present. Household consumer scenarios ranked third, represented by products such as robotic vacuum cleaners and lawn-mowing robots expanding overseas through cross-border e-commerce. For example, the lawn-mowing robot of Tianya Robotics topped its category sales ranking on Amazon in its first month after launch.
For more new content, please refer to 2026 Full-Scope Report on the Global Expansion of China’s Embodied Intelligence Enterprises.