Surrounded by anticipation at CES 2026, AGIBOT Innovation Technology Co. made its first major appearance in the United States, showcasing its latest robots and digital platforms. The company has gained international attention with its AGIBOT A2 humanoid delivering a Tai Chi demonstration on stage, reflecting its focus on developing robots with adaptable applications. Stakeholders in robotics are keen to see how AGIBOT’s technologies perform in scenarios ranging from industry to public service. The presentation not only highlighted hardware advancements, but also introduced software solutions targeting robot fleet management. Market observers have noticed a growing interest in global deployments, raising expectations for new entrants and steady supply in the robotics industry.
Reports published since AGIBOT’s founding in 2023 have chronicled the company’s rapid production surge, particularly with the rollout of the AGIBOT A2 and the expansion into mobile manipulation robots. Observers previously noted its swift ascension in the Asian market, but estimates on global distribution varied among research agencies. Earlier news focused on the technology’s potential rather than actual shipment volumes. Industry analysis now discusses the distinction between humanoid and mobile robots, which clarifies AGIBOT’s statement of being the leading supplier. Projections for future humanoid robot adoption have also been debated, as some analysts foresee brisk growth while others advise caution.
How Has AGIBOT Performed in Global Shipments?
In 2025, AGIBOT was recognized as having the highest global shipment volume and market share for humanoid robots, after distributing over 5,100 units that year. Data from Omdia indicates AGIBOT held 39% of the global market share, outpacing competitors. Product lines include both full-sized and compact humanoids, along with wheeled mobile manipulators. AGIBOT’s shipments comprised a significant proportion of humanoids—3,588 out of the total—while the remainder involved mobile manipulator variants.
What Solutions Did AGIBOT Present at CES 2026?
At CES 2026, AGIBOT also launched Genie Sim 3.0, a robot simulation platform powered by NVIDIA Isaac Sim. This platform consolidates digital asset creation, simulated environments, and automated evaluation, offering developers a unified toolchain for robot training and validation. The company presented advancements intended to make robot deployment and ongoing improvements more practical for customers in varied sectors.
What Are the Industry Expectations for Humanoid Robot Adoption?
Analyst projections for humanoid robot adoption diverge significantly. Omdia estimated shipments could reach 2.6 million annually by 2035, emphasizing widespread industry deployments such as hospitality, entertainment, manufacturing, and research. Other firms, including Interact Analysis, have released more restrained forecasts, suggesting total shipments will grow incrementally over the next decade, with a revenue outlook of around $2 billion by 2032. As more robots are commercially deployed, usage patterns and actual adoption rates will continue to shape forecasts.
AGIBOT expands beyond hardware, introducing a new “SOP” (scalable online post-training) framework for updating robot vision-language-action models in real-time across fleets. This shift from traditional offline to distributed online training is expected to accelerate adaptation and performance in changing environments. The company emphasizes the benefits of an integrated strategy:
“Bringing our full robotics portfolio to CES marks a defining moment for AGIBOT,”
said Dr. Yao Maoqing, AGIBOT’s Senior Vice President.
“It demonstrates how we are able to build an ecosystem of humanoid robots, not for a single task or setting, but for a future where embodied intelligence can serve people across industries, environments, and everyday life.”
While AGIBOT’s rapid scale-up marks a notable phase in humanoid robot manufacturing, the field remains dynamic, shaped by competing definitions, evolving use cases, and varied market expectations. Buyers should consider both hardware and software solutions when selecting robots for diverse deployment needs. Close attention to product categories and ongoing advances in adaptive learning frameworks is warranted, as integration complexity and operational performance will drive real-world impact. For those monitoring robotics trends, adoption pace remains uncertain, yet developments like AGIBOT’s offerings at CES suggest future environments may involve more sophisticated, adaptable humanoid assistants.
