피지컬 AI 시장(2026-2040년)

The global Physical AI market - encompassing autonomous robots, self-driving vehicles, humanoid systems, industrial automation, wearables, smart infrastructure, and AI-enabled medical and agricultural systems - is forecast to grow from approximately $383 billion in 2026 to $3.26 trillion by 2040, representing one of the largest technology market expansions in history. It is also, uniquely, an open race. In digital AI, the competitive outcome is increasingly settled. A small number of American foundation model companies, running on NVIDIA hardware, trained on English-dominant internet data, define the global frontier. Physical AI has not settled. The dimensions on which it will be decided - manufacturing capability, deployment data, regulatory speed, supply chain control, and foundation model intelligence - are distributed across different players in ways that make the final outcome genuinely unpredictable. That is the most strategically important observation about this market.

The Global Physical AI Market 2026-2040 Future Markets, Inc. - 902 pages - 50 tables - 42 figures.

The Global Physical AI Market 2026-2040 is the most comprehensive single-volume analysis of artificial intelligence deployed in the physical world - systems that perceive through sensors, reason through learned models, and act through motors, actuators, and manipulators embedded in robots, vehicles, drones, infrastructure, and wearable devices. The report spans nine primary vertical sectors plus the wearable electronics interface layer and the foundational semiconductor stack that underpins all of them, integrating data from six proprietary Future Markets source reports.

The central thesis - The Open Race - is the report's load-bearing editorial position: no single geography, company, or technology architecture has yet combined intelligence, manufacturing cost, certified trustworthiness, and deployment density in a way that determines the Physical AI era's winner. The United States leads at the AI intelligence layer; China leads at manufacturing scale and cost; Europe leads in certified trustworthiness and industrial deployment density; Japan leads in operational deployment data accumulated through the world's highest robot density. Each advantage is genuine and none is sufficient alone. The 2026-2032 window - when these constraints are most actively being contested - will determine outcomes that compound for decades.

Physical AI adoption is structured around a Three-Wave Framework: Wave 1, the Industrial Proving Ground, concentrates deployment in constrained, structured environments with clear return on investment; Wave 2, Cross-Sector Expansion, extends Physical AI into semi-structured environments as unit economics improve and Chinese manufacturing drives price compression; and Wave 3, Consumer and Sovereign Deployment, brings Physical AI into homes, individual bodies, and national infrastructure at scale. The foundational semiconductor ecosystem - encompassing GPUs, FPGAs, ASICs, and neuromorphic processors for edge inference, real-time sensor processing, and safety-critical embedded control - underpins every Physical AI application covered in the report.

The report profiles more than 700 companies across ten sectors in a consistent format covering country of origin, business overview and funding history, products and technology, and website. Sectors covered are: Industrial Automation and Smart Manufacturing; Autonomous Vehicles and Mobility Systems - including self-driving cars, autonomous freight, last-mile delivery robots, delivery drones, autonomous maritime systems, eVTOL air taxis, vertiport infrastructure, and UTM platforms; Humanoid and Service Robots; Smart Infrastructure and the Built Environment - including building AI platforms, physical security and access control, patrol and cleaning robots, smart elevators, smart energy and grid AI, AI-controlled smart glazing, and smart HVAC and climate AI; Healthcare and Medical Physical AI; AgriTech and Environmental Physical AI; Defence, Security and Dual-Use Physical AI; Space Robotics and Extreme Environments - including space and orbital systems, underwater and deep sea, nuclear and radiation hazard, mining and subsurface, and hazardous environment inspection for oil and gas and industrial infrastructure; Consumer Physical AI and Smart Home; and Wearable Electronics and Physical AI Integration across twelve sub-segments spanning smartwatches, smart rings, AR/VR/XR and smart glasses, AI hearables, medical and clinical wearables, exoskeletons, neural interfaces and BCI, industrial and worker safety wearables, smart clothing and e-textiles, wearable AI chips and compute platforms, sports and performance wearables, and remote patient monitoring platforms.

Report contents include:

• Executive Summary - The Physical AI moment and why it differs fundamentally from digital AI; top-line findings across ten verticals; the macro pull of structural labour shortages driving inevitable adoption; the semiconductor foundation enabling all Physical AI applications; the Three-Wave adoption framework; the investment surge and what it signals about institutional conviction; strategic imperatives and the narrow positioning window; and the Open Race thesis - why the United States, China, Europe, and Japan each hold genuine but incomplete advantages, and what winning actually requires
• Introduction: The Physical AI Revolution - Definition of Physical AI and the Sense-Decide-Act triad; how Physical AI differs structurally from digital AI; the technology breakthroughs that have made deployment commercially viable now; the Open Race defining thesis; and the seven strategic market arenas covered by the report
• Core Technology Architecture - Multimodal sensor fusion; wearable and on-body sensor integration; event-based cameras as the next perception frontier; Vision-Language-Action models and the new architectural standard; Physical Intelligence Pi-0 and the foundation model race; NVIDIA Cosmos world models and physical simulation; reinforcement and imitation learning; open-source democratisation of robotics AI; actuator technologies; the dexterous manipulation challenge; wearable actuators including haptics, exoskeletal, and therapeutic systems; flexible and biointegrated electronics; onboard and edge computing; simulation and digital twin infrastructure; and energy storage and harvesting
• The Embodiment Gap and Technology Maturity - A detailed assessment of where Physical AI already surpasses human performance; where the embodiment gap remains critical and why; and Technology Readiness Level assessments by application across all verticals
• Semiconductor and Hardware Ecosystem - The global AI chip market structure and growth trajectory; GPU, FPGA, and ASIC architecture breakdown and Physical AI relevance; end-market demand by application including automotive and IoT; regional AI chip revenues and the bifurcation dynamic; the Physical AI component value chain covering actuators, sensors, compute, and power systems; supply chain risk and geopolitical exposure; and structural challenges to AI chip deployment for Physical AI applications
• Global Physical AI Market: Aggregate Size and Growth - Market framing and definitional scope; the Three-Wave adoption framework in detail; value pool distribution across the technology stack from chips to applications; three-scenario revenue forecasts covering conservative, base, and optimistic trajectories; and robotics market sizing within the broader Physical AI context
• Industrial Automation and Smart Manufacturing - Robotic arms and pick-and-place automation; the AI transition in industrial robotics; computer vision quality inspection; collaborative robots and the ISO/TS 15066 safety framework; human-robot collaboration case studies; predictive maintenance and sensor-fusion monitoring; AI-driven warehouse automation and autonomous mobile robots; smart building AI in manufacturing; digital twins and smart factory orchestration; market drivers and challenges; and company profiles
• Autonomous Vehicles and Mobility Systems - Self-driving cars and the SAE autonomy framework; Waymo's commercial leadership and data advantages; Tesla's vision-only alternative; Chinese autonomous vehicle leaders; the economics of driverless trucking; autonomous drone markets across delivery, inspection, and defence; last-mile sidewalk delivery robots; autonomous maritime systems; the eVTOL market including aircraft manufacturers, certification landscape, and vertiport infrastructure; and the regulatory landscape by jurisdiction across major markets; and company profiles
• Humanoid and Service Robots - The transition from pilots to production; the Three-Wave adoption framework applied to humanoids; competitive landscape across US, Chinese, European, and Japanese players; average selling price trajectory and the cost compression driving the consumer wave; regional dynamics; and company profiles
• Smart Infrastructure and the Built Environment - AI-driven HVAC and energy management; smart grid and energy infrastructure AI; digital twins for urban infrastructure; physical security and patrol robots; smart building AI platforms and the Physical AI perspective; and company profiles
• Healthcare and Medical Physical AI - The healthcare Physical AI opportunity and structural demand drivers; surgical robotics market structure and key platforms; medical exoskeletons for rehabilitation and worker assistance; hospital logistics and clinical support robots; AI diagnostic and clinical decision support; and company profiles
• AgriTech and Environmental Physical AI - Agriculture's Physical AI inflection point and the labour crisis driving adoption; autonomous tractors and field equipment; precision agriculture through sensors, analytics, and AI; agricultural drones and aerial platforms; farmgate-to-fork supply chain and environmental applications; and company profiles
• Defence, Security and Dual-Use Physical AI - The militarisation of Physical AI; unmanned aerial vehicles as the dominant platform; unmanned ground vehicles; autonomous maritime systems; counter-UAS as the fastest-growing segment; defence AI software and command enablement platforms; the ethical and legal framework for lethal autonomous weapons systems; and company profiles
• Space Robotics and Extreme Environments - Physical AI beyond Earth; planetary exploration rovers and landers; in-space servicing, assembly and manufacturing; and extreme environment robots spanning underwater, nuclear, mining, and hazardous industrial inspection applications; and company profiles
• Consumer Physical AI and Smart Home - Robot vacuums as Physical AI's mass-market success story; smart home automation and the Physical AI control layer; consumer outdoor robots; personal and companion robots; and consumer AI software platforms; and company profiles
• Wearable Electronics and Physical AI Integration - The wearable electronics market as the largest near-term Physical AI segment; market segmentation by product category and revenue; consumer wearable unit shipment forecasts; market leaders by shipments; extended reality as the dominant growth driver; smartwatches and fitness trackers; medical and healthcare wearables; hearables; smart rings; smart clothing and e-textiles; key technology trends through the forecast period; wearables as the on-body Physical AI integration layer; and company profiles
• Regional Markets - Detailed analysis of North America, Europe, China, and Rest of World including Asia-Pacific, Middle East, Latin America, and Africa - covering investment dynamics, regulatory environments, deployment density, and competitive positioning
• Competitive Landscape and Investment - The investment surge and what it signals; key investment themes driving capital allocation; competitive dynamics by technology stack layer; key strategic battlegrounds; leading Physical AI investors; and the AMI Labs strategic position as a case study in European Physical AI ambition
• Key Barriers to Physical AI Adoption - Technical barriers including the embodiment gap and sensor limitations; economic barriers including capital costs and ROI timelines; and regulatory barriers including liability, certification, and standards fragmentation
• Regulatory Frameworks - United States regulatory approach and federal agency roles; European Union AI Act implications for Physical AI; and China's regulatory environment and state-directed deployment strategy
• Physical AI Sovereignty and Geopolitics - The new geography of technological power; the US-China Physical AI competition across intelligence, manufacturing, and semiconductor layers; Europe's strategic dilemma between industrial capability and capital constraints; and the middle power opportunity for Japan, South Korea, India, and the Gulf states
• Emerging Physical AI Frontiers - Brain-computer interfaces and the next human-machine integration layer; quantum sensing and Physical AI perception; biological-physical AI integration; and climate Physical AI applications
• Research Methodology and References - Report scope and definitions; primary and secondary data sources; market sizing methodology; and limitations and key assumptions

Companies profiled include Abbott, Accuray, Activ Surgical, Advanced Farm Technologies, AeiRobot, Aeolus Robotics, AeroFarms, AeroVironment, Aethon (TUG), AGCO Corporation, AgEagle, Agersens, Agibot / Zhiyuan Robot, Agility Robotics, AGROINTELLI, AgriTask, Agtonomy, AiCure, AiQ Smart Clothing, AI SpaceFactory, AirMap, AirSeed Technologies, AIR (AIR ONE), Airbus (Zephyr HAPS), Aidoc, AliveCor, ALS (Automated Laboratory Systems), Altius Space Machines, Altitude Angel, AltoVolo, Amazfit / Zepp Health, Ambi Robotics, Amazon Prime Air, Amazon Robotics, Analog Devices, Anduril Industries, ANRA Technologies, ANYbotics, Aohang Intelligent Technology, APOTECAchemo, Apple, Apple (Vision Pro), Applied Intuition, Apptronik, Aquabotix, Arable, Archer Aviation, ARX Robotics, ARxIUM, Asensus Surgical (KARL STORZ), ASI Mining, ASSA ABLOY, Ascendance Flight Technologies, Astrobotic Technology, Astroscale, Atlas Elektronik, AutoFlight, AutoGrid, AutoStore, Automated Packaging Systems, Auterion, Ava Robotics, Avidbots, Axibo, Axon Enterprise (TASER / AI Defence), Axis Communications, Baidu Apollo Go, Balyo, Bang & Olufsen, Barnstorm AgTech, Bastian Solutions, BD (Becton Dickinson) / BD Rowa / BD Pyxis, Bedrock Robotics, BeeHero, Bell Flight (Bell Textron) Nexus / APT, Berkshire Grey, BETA Technologies, Beyond Imagination, Biofourmis, BioIntellisense, Bionik Labs, Blue In, Blue Origin, Blue River Technology (John Deere), Blue White Robotics, Boardwalk Robotics, Boart Longyear, Boeing / Wisk Aero, Boeing (space systems), Bonsai Robotics, Booster Robotics, Borg Robotics, Bosch, Bosch Sensortec, Bose, Boston Dynamics, Boston Dynamics (Spot), The Bot Company, Brain Corp, Brainbox AI, Brainlab, Breaker Industries, BrightFarms, Bright Machines, BROKK, BuildingIQ, Built Robotics, Bureau Veritas, Burro, C3.ai, CACI International, Camus Energy, CardieX, Carrier Global, Carbon Robotics, Caterpillar, Cattle Eye, Circular, Clearpath Robotics, ClearSpace, CNH Industrial (Case IH / New Holland), Cobalt Robotics, Coco, Cognex, Comau, Connecterra, Contoro Robotics, CopperTree Analytics, Corindus (Siemens Healthineers), Covariant, CREAL SA, CropX, Cubic Farm Systems, Current Health, Cyberdyne, Cyberdyne (HAL), CycloTech, Daikin, DARPA (RSGS program), Dascena, Dataa Robotics, Dedrone (Axon), DEKA Research, DeLaval, Denso Robotics, Deep Robotics, Deep Trekker, Devanthro, Dexcom, Diehl Aviation, Digger DTR, Diligent Robotics, DistalMotion, DJI, Dobot Robotics, Doccla, DOK-ING, D-Orbit, Dogtooth Technologies, Doroni Aerospace, Dreame Technology, DroneDeploy, Dronamics, Dufour Aerospace, Durr, Dusty Robotics, Dwbrobot, Dyna Robotics, Dynium Robot, EarthSense, ECA Group, Ecobee, Ecorobotix, Ecovacs, Eden Green Technology, Ehang, Eka Robotics, Ekso Bionics, Electron Robots, Elephant Robotics, Elevate Farms, Elexon Mining, Elbit Systems, Elroy Air, Embodied Inc., Emerson Electric / AspenTech, Emesent, Emotiv, Enchanted Tools, EngineAI, Engineered Arts, Enkel Energi, Enlighted (Siemens), Enline Energy, Epi-Watch, Epiroc, Epirus, Epson (Moverio), Epson Robots, Epoch Robotics / ROBOTERA, ERC System, Equivital, Eureka Robotics, Eve Air Mobility, Eviation, Exyn Technologies, FANUC, Farm-ng, FarmWise, FDROBOT, Ferrovial Vertiports, Fetch Robotics / Zebra Technologies, FFRobotics, Field AI, Figure AI, Fitbit (Google), Flyability, Flytrex, FLIR Systems / Teledyne FLIR, FLSmidth, Formic, ForwardX Robotics, Foundation Robotics, Fourier Intelligence, Four Growers, Foxglove, Freight Farms, Furhat Robotics, Galaxea AI, Galbot, Garmin, Gatik, Gather AI, Gauzy, GE Aerospace (eVTOL / AAM Division), GE HealthCare, GEA, Geek+, Generalist, Generative Bionics, Generation Robots, Genetec, Ghost Robotics, GITAI, Globus Medical, Gradient Comfort, Greeneye Technology, GreyOrange, Hanson Robotics, Harvest Automation, Harvest CROO Robotics, Heart Aerospace, Hexagon Manufacturing Intelligence, HID Global, Hirebotics, Hitachi, Hocoma, Holiday Robotics, Honda, Honeywell Building Management, Honeywell Intelligrated, Horizon Aircraft, HTC (Vive XR), Hullbot, Humanoid (SKL Robotics), Huntington Ingalls Industries (REMUS), Huawei, Hylio, IBM, IBM Maximo, ICON (extraterrestrial construction), Inceptio, iniVation AG, InstantEye Robotics, IntBot, Interactive Wear, InteraXon (Muse), InTouch Health (Teladoc), InVia Robotics, Inuktun, Iron Ox, iRhythm, Isansys Lifecare, Itron, i.v.STATION, Jabra (GN Audio), JAKA Robotics, Jaunt Air Mobility, JBT Corporation, Joby Aviation, John Deere, Johnson & Johnson MedTech (OTTAVA), Johnson Controls, JOZ-Tech, JuneBrain, KAKTI, Kaman (KMAX), Kawada Robotics, Kawasaki Heavy Industries, Kawasaki Heavy Industries Robotics, Keenon Robotics, Kepler Exploration Robotics, Kernel, Keybotic, Kiwibot, KION Group, Kinestral Technologies, KNAPP, KODE Labs, Kodiak Robotics, Koidra, KONE, KUKA, Kubota, Kuafu, K.U.L.T, L3Harris Technologies, Landis+Gyr, Laronix, Leju Robotics, Lely, Leonardo DRS, Levi Strauss (Project Jacquard), LifeSignals Group, Liebherr, LimX Dynamics, Lockheed Martin, Locus Robotics, Loki Robotics, Lucid Audio, Lunar Outpost, Lumos Robotics, MacLean Engineering, Macco Robotics, Magic Leap, MagicLab, Malloy Aeronautics, Manna Drone Delivery, MANUS Technology Group, MARTAC, Masimo, Matic (Robotics), Maxar Technologies, May Mobility, Mayflower Autonomous Ship (ProMare / IBM), MDT, Mecademic, Medra, Medrobotics, Medtronic, Mendaera, Mentee Robotics, Meta and more....

TABLE OF CONTENTS

1 EXECUTIVE SUMMARY

• 1.1 The Physical AI Moment
  • 1.1.1 The Macro Pull: Why Physical AI Is Structurally Inevitable
• 1.2 Top-Line Market Findings
  • 1.2.1 The Semiconductor Foundation: The $455 Billion Enabler
• 1.3 The Three-Wave Adoption Framework
  • 1.3.1 The Cost Compression Curve: From Enterprise to Consumer
• 1.4 The Investment Surge: Capital Follows Conviction
• 1.5 Strategic Imperatives: The Window Is Narrow
• 1.6 THE OPEN RACE: Who Leads the Physical AI Era?
  • 1.6.1 What Victory Looks Like: The Three Combinations That Win
• 1.7 What This Report Covers

2 INTRODUCTION: THE PHYSICAL AI REVOLUTION

• 2.1 What Is Physical AI?
• 2.2 The AI Technology Stack: Where Physical AI Sits
• 2.3 What Has Changed: Why Physical AI Is Deployable Now
• 2.4 The Defining Thesis: An Open Race
• 2.5 Market Architecture: The Seven Strategic Arenas

3 CORE TECHNOLOGY ARCHITECTURE

• 3.1 The Physical AI Triad: Sense, Decide, Act
• 3.2 Sensing and Perception Layer
  • 3.2.1 Multimodal Sensor Fusion
  • 3.2.2 Wearable and On-Body Sensor Integration
  • 3.2.3 Event-Based Cameras: The Next Perception Frontier
• 3.3 Decision-Making and Reasoning Layer
  • 3.3.1 Vision-Language-Action Models: The New Architectural Standard
  • 3.3.2 Physical Intelligence (Pi-) and the Foundation Model Race
  • 3.3.3 World Models and Physical Simulation: The NVIDIA Cosmos Platform
  • 3.3.4 Reinforcement Learning and Imitation Learning
  • 3.3.5 Open-Source and Democratization of Robotics AI
• 3.4 Actuation and Control Layer
  • 3.4.1 Actuator Technologies
  • 3.4.2 The Dexterous Manipulation Problem: The 31% BOM Challenge
  • 3.4.3 Wearable Actuators: Haptics, Exoskeletal, and Therapeutic
• 3.5 Flexible, Stretchable, and Biointegrated Electronics: The New Materials Platform
  • 3.5.1 Advanced Materials: The Enabling Layer
    • 3.5.1.1 Graphene and 2D Materials
    • 3.5.1.2 Silver Nanowires and Conductive Inks
    • 3.5.1.3 Piezoelectric Polymers (PVDF)
    • 3.5.1.4 Electroactive Nanomaterials
    • 3.5.1.5 Cellulose and Sustainable Biopolymers
    • 3.5.1.6 Magnetically Responsive Materials
    • 3.5.1.7 Ionic Conductors and Hydrogel Electronics
    • 3.5.1.8 Phase Change Materials for Thermal Management
    • 3.5.1.9 Metamaterials and Architected Materials
  • 3.5.2 Flexible Hybrid Electronics (FHE) for Physical AI
  • 3.5.3 Stretchable Artificial Skin and Electronic Skin Systems
  • 3.5.4 E-Textiles and Smart Apparel
• 3.6 Onboard and Edge Computing for Physical AI
  • 3.6.1 The Real-Time Processing Imperative
  • 3.6.2 NVIDIA Jetson Thor: The Physical AI Compute Standard
  • 3.6.3 Fleet Intelligence and Distributed Learning Networks
• 3.7 Simulation and Digital Twin Infrastructure
  • 3.7.1 The Simulation Imperative
  • 3.7.2 The Sim-to-Real Gap: The Remaining Challenge
• 3.8 Energy Storage and Harvesting
  • 3.8.1 Battery Technology Roadmap
  • 3.8.2 Triboelectric Nanogenerators (TENGs): Body-Powered Physical AI
  • 3.8.3 Smart Building Energy Integration

4 THE EMBODIMENT GAP AND TECHNOLOGY MATURITY

• 4.1 Where Physical AI Surpasses Human Performance
• 4.2 Where the Embodiment Gap Remains Critical
• 4.3 Technology Readiness Level (TRL) Assessment by Application

5 SEMICONDUCTOR AND HARDWARE ECOSYSTEM

• 5.1 The Physical AI Chip Landscape
  • 5.1.1 AI Chip Market Size and Growth 2024-2034
  • 5.1.2 Architecture Breakdown: GPU, FPGA, ASIC
  • 5.1.3 Key Players by Category
• 5.2 Component Market Value Chain
  • 5.2.1 Actuators and Transmissions
  • 5.2.2 Sensors and Perception Hardware
  • 5.2.3 Computing and Control Systems
  • 5.2.4 Power Systems and Batteries
• 5.3 Supply Chain Risk and Geopolitical Exposure
  • 5.3.1 Government Funding - The Strategic Investment Race
• 5.4 Market Challenges to AI Chip Deployment

6 GLOBAL PHYSICAL AI MARKET: AGGREGATE SIZE AND GROWTH 2026-2040

• 6.1 Framing the Market
• 6.2 The Three-Wave Adoption Framework: Detailed Structure
  • 6.2.1 Wave 1: Industrial Proving Ground (2026-2030)
  • 6.2.2 Wave 2: Cross-Sector Expansion (2030-2040)
  • 6.2.3 Wave 3: Consumer and Sovereign Deployment (2035-2040)
• 6.3 Value Pool Distribution Across the Stack
• 6.4 Three-Scenario Revenue Forecasts 2026-2040
• 6.5 The Robotics Market Specifically: Sizing the Core

7 INDUSTRIAL AUTOMATION AND SMART MANUFACTURING

• 7.1 Market Overview and Strategic Context
• 7.2 Robotic Arms and Pick-and-Place Automation
  • 7.2.1 Industrial Robot Market Structure
  • 7.2.2 The AI Transition in Industrial Robotics
  • 7.2.3 Pick-and-Place: From Fixed Programs to Foundation Models
• 7.3 Computer Vision Quality Inspection
  • 7.3.1 Performance Capabilities
  • 7.3.2 Application Domains
  • 7.3.3 The AI Revolution in Quality: From Fixed Templates to Adaptive Learning
• 7.4 Collaborative Robots (Cobots) Working Alongside Humans
  • 7.4.1 The Cobot Market: Structure and Growth
  • 7.4.2 Safety Standards and the ISO/TS 15066 Framework
  • 7.4.3 Human-Robot Collaboration ROI: Case Studies
• 7.5 Predictive Maintenance on Physical Equipment
  • 7.5.1 Market Size and Value Proposition
  • 7.5.2 Sensor-Fusion Monitoring: Vibration, Thermal, Acoustic
  • 7.5.3 Industrial Wearables for Worker Safety and Ergonomics
• 7.6 AI-Driven Warehouse and Supply Chain Automation
  • 7.6.1 The Warehouse: Physical AI's Commercial Proving Ground
  • 7.6.2 Autonomous Mobile Robots (AMRs): The Foundation Layer
  • 7.6.3 Fleet Intelligence: The Data Flywheel in Action
• 7.7 Smart Building AI: Physical AI in the Built Environment
  • 7.7.1 What Makes a Building "Smart" from a Physical AI Perspective
  • 7.7.2 HVAC Optimization: The Largest Energy Reduction Opportunity
  • 7.7.3 Smart Glazing: AI-Integrated Electrochromic Windows
  • 7.7.4 Security Patrol Robots in Smart Buildings
• 7.8 Digital Twins and Smart Factory Orchestration
  • 7.8.1 The Digital Twin Revolution in Manufacturing
• 7.9 Market Drivers and Challenges
• 7.10 Company Profiles (88 company profiles)

8 AUTONOMOUS VEHICLES AND MOBILITY SYSTEMS

• 8.1 Market Overview and Strategic Context
• 8.2 Self-Driving Cars: From Proof of Concept to Commercial Reality
  • 8.2.1 The SAE Autonomy Framework: Where We Stand
  • 8.2.2 Waymo: The Unambiguous Leader
  • 8.2.3 Tesla Full Self-Driving: The Vision-Only Alternative
  • 8.2.4 Chinese Autonomous Vehicle Leaders: Baidu Apollo and Pony.ai
• 8.3 Autonomous Freight: The Commercial Logic is Compelling
  • 8.3.1 The Economics of Driverless Trucking
  • 8.3.2 Aurora Innovation: First Commercial Driverless Freight Service
  • 8.3.3 The Autonomous Freight Market Opportunity
• 8.4 Autonomous Drones: Three Commercial Markets
  • 8.4.1 Delivery Drones: Last-Mile Economics and Regulatory Progress
  • 8.4.2 Surveying, Inspection, and Industrial Drones
  • 8.4.3 Military and Surveillance Drones
• 8.5 Last-Mile Delivery Robots: Sidewalk Autonomy
  • 8.5.1 The Sidewalk Robot Market
• 8.6 Autonomous Maritime Systems
  • 8.6.1 Commercial Shipping: The Port-to-Port Opportunity
  • 8.6.2 Autonomous Underwater Vehicles (AUVs) in Commercial Applications
• 8.7 Air Taxis and Urban Air Mobility: The eVTOL Market
  • 8.7.1 Market Context and the Shakeout to Date
  • 8.7.2 eVTOL Market Forecast 2026-2040
  • 8.7.3 The Certification Landscape: Who Is Winning the Race
  • 8.7.4 Joby Aviation: The Consensus Frontrunner
  • 8.7.5 Archer Aviation and the Stellantis Manufacturing Partnership
  • 8.7.6 Vertiport Infrastructure: The Missing Link
• 8.8 Regulatory Landscape: The Jurisdiction-by-Jurisdiction Challenge
  • 8.8.1 SAE Level 4/5 Regulation by Jurisdiction
• 8.9 Company Profiles
  • 8.9.1 SELF-DRIVING CARS AND ROBOTAXIS (12 company profiles)
  • 8.9.2 AUTONOMOUS TRUCKING AND FREIGHT (8 company profiles)
  • 8.9.3 LAST-MILE DELIVERY ROBOTS (SIDEWALK) (5 company profiles)
  • 8.9.4 DELIVERY DRONES (7 company profiles)
  • 8.9.5 AUTONOMOUS MARITIME SYSTEMS (3 company profiles)
  • 8.9.6 eVTOL AIRCRAFT MANUFACTURERS (37 company profiles)
  • 8.9.7 VERTIPORT AND UAM INFRASTRUCTURE (4 company profiles)
  • 8.9.8 AIRSPACE MANAGEMENT AND UTM PLATFORMS (4 company profiles)

9 HUMANOID AND SERVICE ROBOTS

• 9.1 Market Overview: From Pilots to Production
• 9.2 The Three-Wave Adoption Framework
  • 9.2.1 Wave 1: Industrial Applications (2025-2030)
  • 9.2.2 Wave 2: Consumer/Developer (2027-2033)
  • 9.2.3 Wave 3: Medical/Elder Care (2030-2040+)
• 9.3 Competitive Landscape
• 9.4 Average Selling Price Trajectory
• 9.5 Regional Dynamics
• 9.6 Company Profiles (110 company profiles)

10 SMART INFRASTRUCTURE AND THE BUILT ENVIRONMENT

• 10.1 Market Overview
• 10.2 AI-Driven HVAC and Energy Management
  • 10.2.1 The AI HVAC optimization stack
• 10.3 Smart Grid and Energy Infrastructure AI
• 10.4 Digital Twins for Infrastructure
• 10.5 Physical Security and Patrol Robots in Infrastructure
• 10.6 Smart Building AI: Physical AI Perspective
• 10.7 Company Profiles
  • 10.7.1 BUILDING AI PLATFORMS AND MANAGEMENT SYSTEMS (22 company profiles)
  • 10.7.2 SECURITY, ACCESS CONTROL AND SURVEILLANCE AI (5 company profiles)
  • 10.7.3 PATROL AND SECURITY ROBOTS (2 company profiles)
  • 10.7.4 CLEANING AND DISINFECTION ROBOTS (9 company profiles)
  • 10.7.5 SMART ELEVATORS, ESCALATORS AND VERTICAL TRANSPORT (4 company profiles)
  • 10.7.6 SMART ENERGY AND GRID AI (12 company profiles)
  • 10.7.7 AI-CONTROLLED SMART GLAZING (4 company profiles)
  • 10.7.8 SMART HVAC AND CLIMATE AI (6 company profiles)

11 HEALTHCARE AND MEDICAL PHYSICAL AI

• 11.1 Market Overview: The Healthcare Physical AI Opportunity
• 11.2 Robotics: The Fastest-Growing Medical Device Segment
• 11.3 Medical Exoskeletons
• 11.4 Hospital Logistics and Clinical Support Robots
  • 11.4.1 Deployed platforms
• 11.5 AI Diagnostic and Clinical Decision Support
• 11.6 Company Profiles (63 company profiles)

12 AGRITECH AND ENVIRONMENTAL PHYSICAL AI

• 12.1 Market Overview: Agriculture's Physical AI Inflection Point
• 12.2 Autonomous Tractors and Field Equipment
  • 12.2.1 The Autonomous Tractor: From Autosteer to Full Autonomy
  • 12.2.2 Weeding Robots: The Killer App for Specialty Crops
  • 12.2.3 Robotic Harvesting
• 12.3 Precision Agriculture: Sensors, Analytics, and AI
  • 12.3.1 Crop Monitoring and Analytics
  • 12.3.2 Precision Livestock Farming
• 12.4 Agricultural Drones and Aerial Platforms
• 12.5 Farmgate to Fork: AgriTech in Supply Chain and Environment
  • 12.5.1 Smart Logistics and Cold Chain
  • 12.5.2 Environmental Monitoring Physical AI
• 12.6 Company Profiles (73 company profiles)

13 DEFENSE, SECURITY AND DUAL-USE PHYSICAL AI

• 13.1 Market Overview: The Militarization of Physical AI
• 13.2 Unmanned Aerial Vehicles (UAVs): The Dominant Platform
• 13.3 Unmanned Ground Vehicles (UGVs)
• 13.4 Unmanned Maritime Systems
• 13.5 Counter-UAS: The Fastest-Growing Segment
• 13.6 Defense AI Software and Command Enablement
• 13.7 Ethical and Legal Framework for Lethal Autonomous Weapons
• 13.8 Company Profiles (36 company profiles)

14 SPACE ROBOTICS AND EXTREME ENVIRONMENTS

• 14.1 Market Overview: Physical AI Beyond Earth
• 14.2 Planetary Exploration: Rovers and Landers
  • 14.2.1 Lunar Exploration: The Physical AI Proving Ground
  • 14.2.2 Mars: The Long-Duration Autonomy Frontier
  • 14.2.3 Asteroid Mining and Deep Space
• 14.3 In-Space Servicing, Assembly, and Manufacturing (ISAM)
• 14.4 Extreme Environment Robots Beyond Space
• 14.5 Company Profiles
  • 14.5.1 SPACE & ORBITAL (23 company profiles)
  • 14.5.2 UNDERWATER & DEEP SEA (9 company profiles)
  • 14.5.3 NUCLEAR & RADIATION HAZARD (2 company profiles)
  • 14.5.4 MINING & SUBSURFACE (27 company profiles)
  • 14.5.5 HAZARDOUS ENVIRONMENT INSPECTION (OIL & GAS, INDUSTRIAL, INFRASTRUCTURE) (7 company profiles)

15 CONSUMER PHYSICAL AI AND SMART HOME

• 15.1 Market Overview
• 15.2 Robot Vacuums: Physical AI's Mass-Market Success Story
• 15.3 Smart Home Automation: The Physical AI Control Layer
• 15.4 Consumer Outdoor Robots
• 15.5 Personal and Companion Robots
• 15.6 Consumer AI in the Physical World: The Software Layer

16 WEARABLE ELECTRONICS AND PHYSICAL AI INTEGRATION

• 16.1 The Wearable Electronics Market: The Largest Near-Term Physical AI Segment
• 16.2 Market Segmentation: Products and Revenue
• 16.3 Consumer Wearables: Units by Category 2020-2040
• 16.4 Market Leaders: Global Wearable Electronics Shipments 2025
• 16.5 Extended Reality (AR/VR/MR): The Dominant Growth Driver
  • 16.5.1 Current XR Landscape
  • 16.5.2 XR Technology Roadmap
• 16.6 Smartwatches and Fitness Trackers: The Proven Platform
• 16.7 Medical and Healthcare Wearables
• 16.8 Hearables: AI Audio at Scale
• 16.9 Smart Rings: Physical AI's Most Intimate Form Factor
• 16.10 Smart Clothing and E-Textiles
• 16.11 Key Wearable Technology Trends 2026-2040
• 16.12 Wearables as Physical AI Integration Layer
• 16.13 Company Profiles
  • 16.13.1 SMARTWATCH AND GENERAL WEARABLE AI PLATFORMS (10 company profiles)
  • 16.13.2 SMART RINGS (7 company profiles)
  • 16.13.3 AR / VR / XR AND SMART GLASSES (16 company profiles)
  • 16.13.4 AI HEARABLES (7 company profiles)
  • 16.13.5 MEDICAL AND CLINICAL AI WEARABLES (20 company profiles)
  • 16.13.6 EXOSKELETONS AND PHYSICAL ASSISTANCE WEARABLES (8 company profiles)
  • 16.13.7 NEURAL INTERFACES AND BCI WEARABLES (8 company profiles)
  • 16.13.8 INDUSTRIAL AND WORKER SAFETY WEARABLES (5 company profiles)
  • 16.13.9 SMART CLOTHING AND AI E-TEXTILES (8 company profiles)
  • 16.13.10 WEARABLE AI CHIPS AND COMPUTE PLATFORMS (5 company profiles)
  • 16.13.11 SPORTS AND PERFORMANCE AI WEARABLES (3 company profiles)
  • 16.13.12 REMOTE PATIENT MONITORING PLATFORMS (5 company profiles)

17 REGIONAL MARKETS

• 17.1 NORTH AMERICA
  • 17.1.1 Market Position
  • 17.1.2 Strategic Advantages
  • 17.1.3 Constraints
• 17.2 EUROPE
  • 17.2.1 Market Position
  • 17.2.2 Strategic Advantages
  • 17.2.3 Constraints
  • 17.2.4 Country-Level Dynamics
• 17.3 CHINA
  • 17.3.1 Market Position
  • 17.3.2 Structural Advantages
  • 17.3.3 Constraints
• 17.4 ASIA-PACIFIC (EX-CHINA)
  • 17.4.1 Japan
  • 17.4.2 South Korea
  • 17.4.3 India
  • 17.4.4 Singapore and Southeast Asia
• 17.5 REST OF WORLD
  • 17.5.1 Middle East
  • 17.5.2 Latin America
  • 17.5.3 Africa

18 COMPETITIVE LANDSCAPE AND INVESTMENT

• 18.1 The Investment Surge
• 18.2 Investment Themes
• 18.3 Competitive Dynamics by Layer
• 18.4 Key Strategic Battlegrounds
• 18.5 Leading Physical AI Investors
• 18.6 M&A Landscape
• 18.7 The AMI Labs Strategic Position

19 KEY BARRIERS TO PHYSICAL AI ADOPTION

• 19.1 Technical Barriers
• 19.2 Economic Barriers
• 19.3 Regulatory Barriers

20 REGULATORY FRAMEWORKS

• 20.1 United States
• 20.2 European Union
• 20.3 China
• 20.4 The Regulatory Divergence Risk

21 PHYSICAL AI SOVEREIGNTY AND GEOPOLITICS

• 21.1 The New Geography of Technological Power
• 21.2 The US-China Physical AI Competition
• 21.3 Europe's Strategic Dilemma
• 21.4 The Middle Power Opportunity
• 21.5 Physical AI and the Future of Industrial Sovereignty

22 EMERGING PHYSICAL AI FRONTIERS (2028-2040)

• 22.1 The Convergence Horizon
• 22.2 Brain-Computer Interfaces and Physical AI
• 22.3 Quantum Sensing and Physical AI Perception
• 22.4 Biological-Physical AI Integration
• 22.5 Climate Physical AI

23 CONCLUSIONS AND OUTLOOK

• 23.1 The Decade Ahead
• 23.2 The Three Decisive Variables
• 23.3 The Fundamental Insight

24 APPENDIX

• 24.1 RESEARCH METHODOLOGY
  • 24.1.1 Report Scope and Definitions
  • 24.1.2 Data Sources
  • 24.1.3 Market Sizing Methodology
  • 24.1.4 Limitations and Key Assumptions
• 24.2 GLOSSARY OF PHYSICAL AI TERMS

25 REFERENCES