The Rise of Physics AI: From Humanoid Robots to Industrial Reality

The Rise of Physical AI From HumanoidRobotics to Contents The Rise of Physical AI: 1. Introduction: Why Humanoid Robotics Now? 2.The Rise of Physical AI: 3.Global Leading Players in Action: 4.Comparing U.S. and Chinese Leaders: 5.State of Embodied Intelligence 6.Implications for Industry and Vision:How Humanoids Will Reshape Future Business Models 1. Introduction: Why Humanoid Robotics Now? In recent years, robotics has advanced at an unprecedented pace. Breakthroughs in sensors,AI chips, and battery systems–combined with the rapid evolution of AI models and controlsoftware–are transforming robots from single-purpose machines into autonomous systems Underlying this shift are structural challenges: plateauing productivity gains, persistent laborshortages, and growing demand for new digital-enabled industrial foundations.Against this backdrop, humanoid robots*1–systems that integrate mobility, dexterity, and ahuman-like form factor–are drawing increasing attention. Positioned as embodiments of physical From a technical perspective, Physical AI refers to a paradigm in which AI models the physicalworld and plans and executes actions while learning causal relationships through interaction. The competitive landscape is rapidly intensifying. The United States, leveraging its leadershipin AI models and AI-optimized hardware, and China, supported by strong industrial policy andformidable manufacturing capacity, have become the primary drivers of global development.Japan and Europe–longtime leaders in conventional robotics–are also accelerating their This paper examines the evolving global dynamics by focusing on leading emerging players inthe U.S. and China. Through case studies of their integrated hardware–software strategies, weanalyze the current state of embodied intelligence and identify the next competitive frontiers. 2.The Rise of Physical AI: The global robotics market has evolved from traditional industrial robots toward an increasinglydiversified and advanced landscape, encompassing collaborative robots (cobots), autonomous This evolution has been driven by the convergence of multiple foundations: advances inhardware such as precision components and materials; rapid progress in AI models and robotcontrol software; and the maturation of surrounding ecosystems including talent development,regulatory frameworks, and policy support. Together, these forces are repositioning robots from Morgan Stanley highlights a structural shift at the intersection of AI and the physical economy,noting that the boundary between mobile devices–such as vehicles and drones–and robots israpidly dissolving. As AI acquires physical capabilities, it is evolving into what can be described While Agentic AI is expected to influence a broad range of professions by accelerating the shifttoward higher-value work, Embodied AI is likely to have a more direct impact on automation and From a market perspective, 2025 is set to mark the beginning of mass production of humanoidrobots, with global revenues projected to reach USD 3 billion. Market size is forecast to expandto USD 24 billion in 2030, USD 211 billion in 2035, and approximately USD 4.7 trillion by 2050.In China alone, shipments are estimated at 7,000 units in 2025, 114,000 units in 2030, and Technologically, advances in AI-driven coordination and autonomy are rapidly expandingapplication domains. In the near term, the convergence of AI, sensors, and mobility technologieswill drive adoption across factories, logistics warehouses, commercial services, and residential Reflecting this market potential, a wide range of players–including major technology firms,startups, established robotics companies, and large manufacturing enterprises–have enteredthe field, particularly in the United States and China. According to the International Federationof Robotics (IFR), 65 humanoid-focused companies across 15 countries are currently active Nevertheless, McKinsey reports that most companies remain at the R&D stage. Of the currentlandscape, 41 firms are engaged in pilot deployments, while only seven companies have reachedthe early commercialization phase.*5 These seven are split between four U.S. companies and 3.Global Leading Players in Action:Case Studies of Integrated Hardware– This section examines the development strategies of the seven leading humanoid roboticscompanies in the U.S. and China, with a focus on the integration of hardware and software. We In the United States, core robotics capabilities were initially built through government-fundedprograms led by DARPA and the Department of Defense. Commercialization for civilianmarkets, however, has progressed mainly through private-sector initiatives.*6 The Association forAdvancing Automation has issued the National Robotics Strategy Vision and submitted policy According to McKinsey, U.S. companies typically pursue vertically integrated architectures,designing in-house actuators, control systems, and AI stacks.*8 Thi