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Goldman Sachs Increases Humanoid Robot Shipment Forecast to 6.5 Million by 2035
Original from leaderobot.com: Goldman Sachs Raises Humanoid Robot Shipment Forecast to 6.5 Million Units

Goldman Sachs Increases Humanoid Robot Shipment Forecast to 6.5 Million by 2035

Goldman Sachs has revised its forecast for global humanoid robot shipments in 2035 from 1.4 million to 6.5 million units, representing a 4.6-fold increase. This adjustment corresponds to a market size of approximately $138 billion, which is a 3.6-fold increase from previous estimates. The report also predicts a significant drop in the average price of humanoid robots, from $41,800 in 2025 to $21,300 in 2035, indicating a nearly 49% decrease over ten years.

The implications of these forecasts are substantial, as lower prices are expected to drive higher demand and increased market penetration for humanoid robots. The price reductions are already evident across various categories, including consumer and industrial robots, with some models experiencing price drops of up to 30%. For instance, the price of the Yuzhu R1 has decreased from 39,900 yuan to 29,900 yuan, while the Yuzhu G1 has seen reductions from 99,000 yuan to 85,000 yuan in certain channels.

Looking ahead, the industry is witnessing a wave of low-priced humanoid robot launches, which are primarily designed for basic functions such as companionship and entertainment. However, analysts caution that while price reductions are necessary for scaling, they are not sufficient on their own. The true measure of success will depend on the ability of companies to achieve stable repeat orders and production scalability, as current shipments are still largely experimental in nature.

Editor's Note

The robotics industry is experiencing a transformative phase, driven by significant price reductions and increased shipment forecasts. As companies strive for scalability, the focus will shift to ensuring that production costs decrease alongside demand. This trend could reshape the competitive landscape, particularly in sectors where humanoid robots are expected to play a critical role in automation and service delivery.

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