Skip to main content
Top

One Billion Humanoid Robots by 2050?

  • 17-06-2025
  • Robotics
  • In the Spotlight
  • Article

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …
print
PRINT
insite
SEARCH

A new study by Commerzbank suggests that the market for AI-driven machines with human-like capabilities could soon experience explosive growth.

The development of humanoid robots is advancing. A study by Commerzbank sees them as a technological megatrend with disruptive potential.


Commerzbank sees humanoid robots as an emerging megatrend with enormous economic potential. In a recent study, the bank analyzes the technological advances, economic conditions, and challenges surrounding so-called “physical AI” – that is, physically effective artificial intelligence. The key finding: the integration of AI into physical systems such as robots, autonomous vehicles, and drones could soon grow into a market worth trillions. However, the development is still characterized by a high degree of uncertainty.

The study defines physical AI as systems that can interact with the real world via AI. This marks a paradigm shift away from classic robotics, which is designed to automate specific tasks, toward highly autonomous, adaptive machines. At the forefront of this development are humanoid robots—machines that not only look like humans but are also capable of performing universal tasks in the human environment.

Market Potential in the Trillions

According to forecasts, the market volume for humanoid robots could grow to over five trillion US dollars by 2050 – more than double the combined revenue of the twenty largest car manufacturers last year. The number of units is expected to total one billion over the same period. According to the study, ten million humanoid robots could be in use by 2030.

Unlike specialized industrial robots, humanoid robots are designed to be universally usable in environments designed for humans. They should be able to think, act, and learn independently – for example, in nursing, logistics, or production. However, it is precisely this universality that poses significant challenges: Not only must technical hurdles such as reaction speed and energy supply be overcome, but the ability to adapt to different situations is also considered a key issue.

Robot-Taxis as Trailblazers

Autonomous vehicles are considered the harbingers of humanoid robots. Alphabet subsidiary Waymo has already covered over 70 million miles with its fleet of Robotaxis. According to the company, the self-driving cars were involved in 82% fewer accidents with cyclists and motorcyclists and 92% fewer accidents with pedestrians compared to human drivers.

Tesla also plans to start test operations soon – with a different technological approach. While Waymo relies on radar and laser technology, Tesla relies on cameras and AI. The economic advantage could lie with Tesla, as the equipment is significantly cheaper.

If Tesla's approach proves viable, it could not only significantly reduce the cost of autonomous driving, but also accelerate the development of humanoid robots – because both systems would have to operate autonomously in an environment created for humans.

The value chain for humanoid robots is still under development. Analysts see particularly high barriers to market entry for AI hardware, infrastructure, and model providers. The study names companies such as Nvidia, Broadcom, Alphabet, and Amazon as potential winners. China could become a serious competitor with its growing research intensity, increasing model diversity, and large production capacities.

Commercialization Not Yet Tangible

Numerous companies are currently working on corresponding solutions. Amazon, for example, is already testing the use of Agility Robotics' Digit robot in warehouse logistics. Mercedes is experimenting with Apptronik's Apollo model, and BMW is using robots from Figure AI for production support in a US factory. Tesla also wants to massively expand its Optimus model in internal production, and Hyundai is even planning to deploy over 10,000 robots from its subsidiary Boston Dynamics.

Despite these showcase projects, the authors of the study do not expect series production to begin until the end of the 2020s at the earliest. They say that the market is currently highly fragmented and many developments are still in the experimental stage. Nevertheless, they believe the trend is irreversible – not only technologically, but also economically.

The study concludes that humanoid robots could develop economic potential comparable to that of the automotive industry in the long term. This would require the interaction of AI, new hardware, more efficient materials, and social acceptance.

This is a partly automated translation of this german article.

print
PRINT

Background information for this content

A Study on Social Inclusion of Humanoid Robots: A Novel Embodied Adaptation of the Cyberball Paradigm

  • Open Access

As social robots are being built with the aim of employing them in our social environments, it is crucial to understand whether we are inclined to include them in our social ingroups. Social inclusion might depend on various factors. To understand …

AI Agents in Robotics

This chapter explores AI agents in robotics, a transformative technology shaping automation and productivity. By focusing on frameworks, multimodal perception, interaction modules, and reasoning strategies, it presents a structured approach to …

Human–Machine Synchronization for Smart Manufacturing Towards Industry 5.0

Human–machine systems (HMS) represent symbiotic systems that harness the strengths of machines and humans to perform diverse activities or tasks. The evolution of HMS within the manufacturing landscape has undergone significant transformations …

Design and Control of Continuous Gait for Humanoid Robots: Jumping, Walking, and Running Based on Reinforcement Learning and Adaptive Motion Functions

Continuous gait design and control enable humanoid robots to smoothly transition and switch between different gaits, adapting to various task requirements, which is crucial for their real-world applications. Traditional gait control methods often …

Premium Partners

    Image Credits
    Commerzbank-Study_Humanoids/© Alina / Generated with AI / Stock.adobe.com, in-adhesives, MKVS, Ecoclean/© Ecoclean, Hellmich GmbH/© Hellmich GmbH, Krahn Ceramics/© Krahn Ceramics, Kisling AG/© Kisling AG, ECHTERHAGE HOLDING GMBH&CO.KG - VSE, Schenker Hydraulik AG/© Schenker Hydraulik AG