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IFR Counts 7,000 Humanoid Robot Sales as Workplace Pilots Stay Small

IFR counted about 7,000 humanoid robot sales in 2025, but many units remain in research and workplace pilots rather than productive commercial roles. The post IFR Counts 7,000 Humanoid Robot Sales as Workplace Pilots Stay Small appeared first on TechRepublic .

In 2025, humanoid robot sales reached approximately 7,000 units globally, according to the International Federation of Robotics (IFR). However, a significant majority of these machines remain in research programs and small workplace pilots, rather than being integrated into commercial roles. The IFR's first global tally of humanoid robots marks the first time the organization has tracked data on this specific category over its three decades of monitoring robotics trends.

To be counted as a humanoid robot under IFR criteria, a machine must have a human-like appearance and operate autonomously within human-built spaces, though legs are not mandatory. The sales figures are compiled from supplier and national industry association data, excluding consumer and military robots while categorizing medical robots separately.

Despite the billions invested in humanoid robot development, the commercial footprint remains relatively small. Susanne Bieller, the IFR's secretary general, described humanoids as "a fraction" of the world's automated workforce. For perspective, in 2024, industrial robots accounted for about 542,000 installations, while professional service robots saw nearly 200,000 sales, based on earlier IFR data.

The most striking statistic is not the low volume of units sold, but their current usage. Many humanoids purchased in 2025 are not being deployed for productive work. Instead, they are being acquired by universities, research laboratories, and software developers to gather physical motion data for training artificial intelligence models.

Nearly three-quarters of Unitree's humanoid sales were directed toward developers and academic institutions. Even major automotive companies, typically at the forefront of robotics adoption, are cautiously piloting humanoids, with only a few units in their plants at any given time.

Analysts predict that shipments of humanoids could surge in the coming years. Bank of America Global Research projects that global humanoid shipments could reach 90,000 units by 2026 and 1.2 million annually by 2030, driven primarily by China's manufacturing sector and government support. However, a key challenge remains: while humanoid robots exhibit significant progress in physical capabilities like balance and actuation, their ability to reliably complete useful tasks in complex, unpredictable industrial environments is still limited.

The current market reflects a tension between physical capability and cognitive reliability. While there has been notable advancement in the robots' physical attributes, reliably executing useful tasks in diverse operational settings poses a more substantial hurdle. Purchasing a humanoid robot today might entail additional costs related to integration, maintenance, supervision, and software development, without the guaranteed output that specialized machinery can provide.

The figures indicate that widespread deployment of humanoid robots remains in its early stages. Business leaders are advised to carefully evaluate narrow use cases, integration requirements, safety controls, and potential return on investment before committing substantial capital. Early workplace deployments are more likely to involve limited tasks and continued human supervision, safety monitoring, and physical troubleshooting rather than fully autonomous replacements for existing roles.

For technology leaders, the 2025 humanoid robot sales data serves as a benchmark rather than a call to immediate action. The key metrics to watch are productive operating hours, task-completion rates, integration costs, safety incidents, and measurable return on investment.

Written by urgent.news from TechRepublic's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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