人形機器人：實體人工智慧、組件、供應鏈

本報告對全球人形機器人市場進行了分析，詳細分析了人形機器人的硬體和軟體堆疊，包括計算、感測器、執行器、電池、控制軟體和訓練基礎設施，以及供應鏈分析和英偉達分析。

實際益處：

• 從基礎模型和計算到執行器、電池和運動系統，可以清楚看出整個人形機器人堆疊的價值集中在哪裡。
• 這使我們能夠識別供應鏈中的結構依賴性和瓶頸，這些依賴性和瓶頸會影響人形機器人的擴充性、成本和地緣政治風險。
• 我們為供應商、新參與企業和投資者提供有關零件採購、夥伴關係和垂直整合策略的指南。

主要問題解答：

• 哪些技術或組件對人形機器人的性能、成本和規模化所需時間構成最大限制？
• VLM、VLA 和世界模型等實體 AI 架構如何影響硬體設計、運算需求和部署可行性？
• 供應鏈集中度和區域不平衡在哪些領域會帶來競爭優勢或風險？

研究亮點：

• 對人形機器人硬體和軟體堆疊進行詳細分析：包括運算、感測器、執行器、電池、控制軟體和訓練基礎設施。
• 全球供應鏈集中度分析：比較和檢視中國在執行器、電池、稀土元素材料和製造能力的優勢，以及西方在人工智慧、軟體和資本方面的優勢。
• 對英偉達在實體人工智慧平台領域的主導地位進行評估，並檢視其他半導體和運算供應商的新興競爭壓力。

目錄

主要發現

主要預測

主要企業和生態系統

英偉達

Actionable Benefits:

• Clarify where value is accruing across the humanoid stack-from foundation models and compute to actuators, batteries, and motion systems.
• Identify structural supply chain dependencies and bottlenecks that will shape humanoid scalability, cost, and geopolitical risk.
• Inform component sourcing, partnership, and vertical integration strategies for vendors, entrants, and investors.

Critical Questions Answered:

• Which technologies and components most strongly constrain humanoid performance, cost, and time-to-scale?
• How do Physical AI architectures (Vision-Language Models (VLMs), Vision-Language-Actions (VLAs), world models) impact hardware design, compute requirements, and deployment feasibility?
• Where do supply chain concentration and regional asymmetries create strategic advantage or exposure?

Research Highlights:

• Detailed breakdown of the humanoid hardware and software stack, including compute, sensors, actuators, batteries, control software, and training infrastructure.
• Analysis of global supply chain concentration, with China’s dominance in actuators, batteries, rare-earth materials, and manufacturing capacity contrasted against Western strengths in Artificial Intelligence (AI), software, and capital.
• Evaluation of NVIDIA’s role as the dominant Physical AI platform, alongside emerging competitive pressures from alternative semiconductor and compute vendors.

Who Should Read This?

• Hardware, supply chain, and platform strategy leaders in robotics, automotive, and industrial automation.
• Semiconductor, component, and materials suppliers assessing exposure to humanoid market growth.
• Investors and policymakers evaluating resilience, dependency, and long-term competitiveness of humanoid ecosystems.

TABLE OF CONTENTS

Key Findings

Key Forecasts

Key Companies and Ecosystems

NVIDIA