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市場調查報告書
商品編碼
2070575

全球物理人工智慧市場（2027-2040 年）

The Global Physical AI Market 2027-2040
出版日期: | 出版商: Future Markets, Inc. | 英文 900 Pages, 52 Tables, 43 Figures | 訂單完成後即時交付

價格

物理人工智慧——即能夠在物理世界中感知、判斷和行動的系統——將在未來20年推動技術市場的發展，並將機器智慧從螢幕擴展到機器、車輛和環境。其應用範圍涵蓋九大垂直領域：工業自動化、自動駕駛汽車和出行、人形機器人和服務機器人、智慧基礎設施、醫療保健、農業技術、國防、航太和消費系統，以及穿戴式電子產品的介面層和支撐這一切的半導體基礎設施。總合到2030年，市場規模將超過4,300億美元，在2035年至2040年左右超過1兆美元，到2040年將接近1.6兆美元。這一趨勢的出現，將伴隨著運算方式從資料中心訓練轉向即時邊緣推理和嵌入式控制，而安全性在這些應用中至關重要。

2025年是一個轉捩點。整個配置堆疊——涵蓋感知、基礎模型、驅動、邊緣運算和模擬——首次同步成熟。前沿挑戰正從單一機器人的能力轉向大規模的協同。這意味著需要將異質的、多廠商的機器人群集朝著通用目標進行協調，而獨立於廠商的編配軟體正變得與單一機器人同等重要。不同應用領域的成熟度差異很大。倉庫機器人、協作機器人、手術系統和穿戴式裝置已經實現商業部署並具有很高的可靠性，而通用人形機器人和家用機器人預計還需要數年時間才能達到大規模部署所需的可靠性和成本效益。安全認證正成為部署的關鍵障礙。隨著NVIDIA的Halos和BlackBerry QNX等專案正式製定了機器人與人類無圍欄共存的功能安全標準，商業部署的限制條件正從「足夠的能力」轉向「足夠的安全性和可認證性」。

該市場的特點是，目前尚無任何單一地區同時具備決定市場領導地位的四大要素：尖端智慧、低成本製造、經認證的可靠性以及部署密度。美國在智慧和編配軟體方面處於領先地位。中國在製造成本和產量方面具有優勢，而日本則在部署密度方面具有優勢，並受益於一項由國家主導的650億美元「物理人工智慧」投資計劃，該計劃的目標是到2040年佔全球機器人市場30%以上的佔有率。歐洲在工業物理領域也實力雄厚，Mistral收購Emi AI便是一個例證。在公開市場中，人們已經開始重新評估這個主題，LG電子在轉型機器人領域後股價翻了三倍，傳統​​的作業系統和半導體供應商也被重新定義為物理人工智慧基礎設施供應商。因此，公開競爭正在展開，結果確實不確定，價值正在向「實施」、「安全」和「硬體」層面轉移，在這些層面上，利潤可以最快地得到體現，現有公司的結構優勢（如規模優勢和規模經濟）也終於開始實現。

「2027-2040年全球物理人工智慧市場」報告提供了關於全球物理人工智慧市場的全面策略訊息，包括九大關鍵垂直領域的長期預測，以及穿戴式電子產品的介面層和底層半導體堆疊技術。該報告採用三階段部署框架：「工業示範階段」、「跨行業拓展」和「消費者及國家層面應用」，並包含特定應用的技術成熟度（TRL）評估、區域競爭分析、監管和主權分佈圖，以及涵蓋整個價值鏈的650多家公司的詳細公司概況。

2027 年版涵蓋了過去一年重塑市場的趨勢：

  • 破紀錄的資金籌措：隨著完整的配置堆疊在 2025 年成熟，Physical AI 已籌集到破紀錄的 750 億美元或更多資金。
  • 協作的前沿：競爭的重點已經從單一功能轉移到編配集群規模的異質、多供應商機器人。
  • 安全認證的障礙：透過 NVIDIA Halos 和 BlackBerry QNX 等系統進行功能安全認證，目前是其在無籠式、以人為中心的環境中部署的關鍵限制因素。
  • 產業重組：領先的研究機構正在收購工業物理能力（Mistral/Emmi AI），而機器人營運商正在購買營運技術（Bear Robotics/Kinisi）。
  • 公開市場重估：在物理人工智慧基礎設施重估的背景下，LG電子的股價上漲了兩倍，因為該公司轉向了機器人業務。

本報告內容如下：

  • 摘要整理－物理人工智慧的到來；主要發現；「三波」實施框架；過去一年的重大變化；投資激增；以及「開放競爭」的計劃
  • 引言——什麼是物理人工智慧？ ；「感知、判斷和行動」的三個要素；為什麼現在是實施的最佳時機；以及策略市場領域。
  • 核心技術與架構－感測與感知；視覺、語言、行動與基礎模型；執行與熟練操控；邊緣運算與車隊編配；模擬與數位雙胞胎；以及能源
  • 實施上的差距和技術的成熟度——物理人工智慧超越人類的領域、仍然存在差距的領域，以及按應用分類的技術成熟度等級評估。
  • 半導體和硬體生態系統——人工智慧晶片市場和架構、組件價值鏈、供應鏈和地緣政治風險
  • 全球物理人工智慧市場：2027-2040 年市場規模及成長－市場範圍；價值池分佈；以及基於三種情境的預測
  • 工業自動化和智慧製造——機器人、協作機器人、品質檢測、預測性維護、倉儲自動化和公司簡介
  • 自動駕駛車輛及移動出行系統－自動駕駛車輛、貨運、無人機、送貨機器人、海事、電動垂直起降飛行器（eVTOL）及公司簡介
  • 人形機器人和服務機器人－從試點計畫到大規模生產；競爭格局；定價；以及公司簡介。
  • 智慧基礎設施與建築環境－建築人工智慧、能源管理、安防巡邏機器人及企業概況
  • 醫療保健和醫療物理人工智慧—手術機器人、外骨骼、醫院機器人、診斷和公司簡介
  • 農業技術和環境的物理人工智慧—自主農業機械、精密農業、無人機和公司簡介
  • 國防與安全及軍民兩用物理人工智慧－無人機（UAV）、無人地面車輛（UGV）、海洋系統、反無人機系統及企業簡介
  • 太空機器人與極端環境—行星探勘、太​​空維護、極端環境機器人及公司簡介
  • 消費級物理人工智慧和智慧家庭——掃地機器人、智慧家庭、戶外和陪伴機器人以及企業概況
  • 穿戴式電子產品與物理人工智慧的融合－市場區隔；擴充現實（XR）、智慧型手錶、醫療穿戴裝置、可聽耳機、戒指式裝置、電子紡織品；以及公司簡介
  • 區域市場－北美、歐洲、中國及世界其他地區
  • 競爭格局與投資－投資主題、競爭趨勢與併購趨勢
  • 主要障礙—技術障礙、經濟障礙和監管障礙
  • 法律規範－美國、歐盟、中國以及新興的安全認證體系
  • 物理人工智慧主權與地緣政治——美中競爭、歐洲困境與中等強國機會
  • 物理人工智慧新前沿（2028-2040）—腦機介面、量子感測和氣候物理人工智慧

本次重點介紹的公司包括：ABB Robotics, ABB Smart Buildings, Abbott, Abbott (FreeStyle Libre CGM), Accuray, Activ Surgical, Adidas, Advanced Farm Technologies, AeiRobot, Aeolus Robotics, AeroFarms, AeroVironment, Aethon (TUG), AGCO Corporation, AgEagle, Agersens, Agibot / Zhiyuan Robot, Agility Robotics, AgriTask, Agrobot, AGROINTELLI, Agtonomy, AI SpaceFactory, AiCure, Aidoc, AiQ Smart Clothing, Airbus (Zephyr HAPS), AirMap, AirSeed Technologies, AliveCor (KardiaMobile), ALS (Automated Laboratory Systems), Altitude Angel, Altius Space Machines, AltoVolo, Amazfit / Zepp Health, Amazon Prime Air, Amazon Robotics, Ambi Robotics, Analog Devices, Andromeda, Anduril Industries, ANRA Technologies, ANYbotics, Aohang Intelligent Technology, APOTECAchemo, Apple, Apple (Vision Pro), Applied Intuition, Apptronik, Aquabotix, Arable, Archer Aviation, ARX Robotics, ARxIUM, Ascendance Flight Technologies, Asensus Surgical (KARL STORZ), ASI Mining, Astribot, Astrobotic Technology, Astroscale, Atlas Elektronik, AUBO Robotics, Aurora Innovation, Auterion, AutoFlight, AutoGrid, Automated Packaging Systems, AutoStore, Ava Robotics, Avidbots, Axibo, Axis Communications, Axon Enterprise (TASER / AI Defence), Baidu Apollo Go, Balyo, Bang & Olufsen, Barnstorm AgTech, Bastian Solutions, BD (Becton Dickinson) / BD Rowa / BD Pyxis, Bear Robotics, 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 (space systems), Boeing / Wisk Aero, Bonsai Robotics, Booster Robotics, Borg Robotics, Bosch, Bosch Sensortec, Bose, Boston Dynamics, Boston Dynamics (Spot), Brain Corp, Brainbox AI, Brainlab, Breaker Industries, BridgeDP Robotics, Bright Machines, BrightFarms, BROKK, BuildingIQ, Built Robotics, Bureau Veritas, Burro, BXI Robotics, C3.ai, CACI International, Camus Energy, Carbon Robotics, CardieX, Carrier Global, Caterpillar, Cattle Eye, Circular, Clearpath Robotics, ClearSpace, Clone Robotics, CNH Industrial (Case IH / New Holland), Cobalt Robotics, Coco, Cognex, Comau, Connecterra, Contoro Robotics, CopperTree Analytics, Corindus (Siemens Healthineers), Covariant, Cowlar, CropX, Cubic Farm Systems, Current Health, Cyberdyne, Cyberdyne (HAL), CycloTech, D-Orbit, Daikin, DARPA (RSGS program), Dascena, Dataa Robotics, Dedrone (Axon), Deep Robotics, Deep Trekker, DEKA Research, DeLaval, Denso Robotics, Devanthro, Dexcom, Diehl Aviation, Digger DTR, Diligent Robotics, DistalMotion, DJI, Dobot Robotics, Doccla, Dogtooth Technologies, DOK-ING, Doosan Robotics, Doroni Aerospace, Dreame Technology, Dronamics, DroneDeploy, Dufour Aerospace, Dusty Robotics, Dwbrobot, Dyna Robotics, Dynium Robot, Durr, EarthSense, ECA Group, Ecobee, Ecorobotix, Ecovacs, Eden Green Technology, Ehang, Einride, Eka Robotics, Ekso Bionics, Elbit Systems, Electron Robots, Elephant Robotics, Elevate Farms, Elexon Mining, Elroy Air, Embodied Inc, Emerson Electric / AspenTech, Emesent, Emmi AI, Emotiv, Enchanted Tools, EngineAI, Engineered Arts, Enkel Energi, Enlighted (Siemens), Enline Energy, Epi-Watch, Epiroc, Epirus, Epoch Robotics / ROBOTERA, Epson (Moverio), Epson Robots, Equivital, ERC System, 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), FLIR Systems / Teledyne FLIR, FLSmidth, Flyability, Flytrex, Formic, ForwardX Robotics, Foundation Robotics, Four Growers, Fourier Intelligence, Foxglove, Freight Farms, Furhat Robotics, Galaxea AI, Galbot, Garmin, Gather AI, Gatik, Gauzy, GE Aerospace (eVTOL / AAM Division), GE HealthCare, GEA, Geek+, Generalist, Generation Robots, Generative Bionics, Genetec, Ghost Robotics, GITAI, Globus Medical, Gradient Comfort, Gravis Robotics, 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), Huawei, Hullbot, Humanoid (SKL Robotics), Huntington Ingalls Industries (REMUS), Hylio, i.v.STATION, IBM, IBM Maximo, ICON (extraterrestrial construction), Inceptio, iniVation AG, InOrbit.AI, InstantEye Robotics, IntBot, Interactive Wear, InteraXon (Muse), InTouch Health (Teladoc), Intuitive Machines, Intuitive Surgical, Inuktun, InVia Robotics, iRhythm, Iron Ox, Isansys Lifecare, Ispace, Itron, Jabra (GN Audio), JAKA Robotics, Jaunt Air Mobility, JBT Corporation, Joby Aviation, John Deere, Johnson & Johnson MedTech (OTTAVA), Johnson Controls, JOZ-Tech, JuneBrain, K-Scale Labs, K.U.L.T, KAKTI, Kaman (KMAX), Kawada Robotics, Kawasaki Heavy Industries, Kawasaki Heavy Industries Robotics, Keenon Robotics, Kepler Exploration Robotics, Kernel, Keybotic, Kinestral Technologies, KION Group, Kiwibot, KNAPP, Knightscope, KODE Labs, Kodiak Robotics, Koidra, Komatsu, KONE, Kratos Defense, Kuafu, Kubota, KUKA, kyDrive, L3Harris Technologies, Landis+Gyr, Laronix, Leju Robotics, Lely, Leonardo DRS, Levi Strauss (Project Jacquard), Levita Magnetics, Liebherr, LifeSignals Group, Lilium, LimX Dynamics, Lockheed Martin, Locus Robotics, Loki Robotics, Lucid Audio, Lumos Robotics, Lunar Outpost, Macco Robotics, MacLean Engineering, Magic Leap, MagicLab, Malloy Aeronautics, Manna Drone Delivery, MANUS Technology Group, MARTAC, Masimo等。

目錄

第1章：摘要整理

第2章：引言：物理人工智慧革命

第3章：核心技術架構

  • 物理人工智慧的三位一體：感知、判斷與行動
  • 感知層
  • 決策和推理層
  • 執行與控制層
  • 兼具柔軟性、可拉伸性和生物相容性的電子設備：新型材料平台
  • 用於物理人工智慧的車載運算和邊緣運算
  • 仿真數位雙胞胎基礎設施
  • 能量儲存和能量收集

第4章：實施差距與技術成熟度

  • 物理人工智慧超越人類表現的領域
  • 實施與實現之間差距仍然十分嚴重的領域。
  • 應用特定技術成熟度等級 (TRL) 評估

第5章：半導體和硬體生態系統

  • 物理人工智慧晶片的現狀
  • 零件市場的價值鏈
  • 供應鏈風險與地緣政治風險
  • 人工智慧晶片部署面臨的市場挑戰

第6章：全球物理人工智慧市場：總規模及成長預測（2026-2040 年）

  • 市場框架
  • 三階段介紹框架：詳細結構
  • 價值池在整個堆疊中的分佈
  • 基於三種情境的2026年至2040年營收預測
  • 機器人市場專項分析：確定核心市場規模

第7章 工業自動化與智慧製造

  • 市場概況與策略背景
  • 機械臂和取放自動化
  • 電腦視覺品質檢測
  • 與人類合作的機器人（協作機器人）
  • 物理設備的預測性維護
  • 人工智慧驅動的倉庫和供應鏈自動化
  • 智慧建築人工智慧：建築環境中的物理人工智慧
  • 數位雙胞胎與智慧工廠的編配
  • 市場促進因素與挑戰
  • 107 家公司簡介（92 家公司簡介）

第8章：自動駕駛車輛與移動系統

  • 市場概況與策略背景
  • 自動駕駛汽車：從概念驗證到商業化
  • 自主貨運：其商業性邏輯令人信服。
  • 自主無人機：三大商業市場
  • 最後一公里配送機器人：在人行道上自主行駛
  • 自主海洋系統
  • 空中計程車與城市空中運輸：電動垂直起降飛行器市場
  • 監理情勢：各司法管轄區面臨的挑戰
  • 公司簡介

第9章：人形機器人與服務機器人

  • 市場概覽：從試點階段到生產階段
  • 一個三階段的介紹框架
  • 競爭格局
  • 平均售價趨勢
  • 區域趨勢
  • 303 份公司簡介（110 家公司的簡介）

第10章 智慧基礎設施與建築環境

  • 市場概覽
  • 人工智慧驅動的空調和能源管理
  • 智慧電網和能源基礎設施人工智慧
  • 基礎設施數位雙胞胎
  • 基礎設施中的實體安全和巡邏機器人
  • 智慧建築人工智慧：物理人工智慧觀點
  • 公司簡介

第11章 醫療保健和醫學物理人工智慧

  • 市場概覽：物理人工智慧在醫療保健領域的機會
  • 機器人技術：醫療設備領域成長最快的產業
  • 醫用外骨骼
  • 醫院物流與臨床支援機器人
  • 人工智慧驅動的診斷和臨床決策支持
  • 488 家公司簡介（63 家公司簡介）

第12章 農業技術與環境物理人工智慧

  • 市場概覽：農業物理人工智慧的轉折點
  • 自動曳引機和農業機械
  • 精密農業：感測器、分析與人工智慧
  • 農業無人機和空中平台
  • 從農場到餐桌：供應鏈與環境中的農業技術
  • 558 份公司簡介（73 家公司的簡介）

第13章 國防、安全與兩用物理人工智慧

  • 市場概況：物理人工智慧的軍事化
  • 無人機（UAV）：主流平台
  • 無人地面車輛（UGV）
  • 無人海洋系統
  • 反無人機系統：成長最快的領域
  • 國防人工智慧軟體及指揮控制支持
  • 致命性自主武器的倫理與法律體制
  • 636 家公司簡介（36 家公司簡介）

第14章 空間機器人與極端環境

  • 市場概況：外星物理人工智慧
  • 行星探勘：探勘和著陸器
  • 太空服務、組裝和製造（ISAM）
  • 專為太空以外的極端環境設計的機器人
  • 公司簡介

第15章：面向消費者的物理人工智慧與智慧家居

  • 市場概覽
  • 機器人吸塵器：物理人工智慧如何在大眾市場取得成功的案例研究。
  • 智慧家庭自動化：物理人工智慧控制層
  • 家用戶外機器人
  • 個人機器人和陪伴機器人
  • 實體世界中的消費人工智慧：軟體層

第16章：穿戴式電子設備與物理人工智慧的融合

  • 穿戴式電子產品市場：短期內物理人工智慧細分市場規模最大
  • 市場區隔：產品和收入
  • 消費性穿戴裝置：按類別分類的銷售量（2020-2040 年）
  • 市場領導：全球穿戴電子產品出貨量
  • 擴增實境（AR/VR/MR）：成長的關鍵驅動力
  • 智慧型手錶和健身追蹤器：一個成熟的平台
  • 用於醫療保健領域的穿戴式設備
  • 可聽設備：大規模人工智慧音頻
  • 智慧戒指：最常見的貼身佩戴式人工智慧裝置。
  • 智慧服飾和電子紡織品
  • 2026年至2040年穿戴式科技的主要發展趨勢
  • 利用穿戴式裝置作為物理人工智慧整合層。
  • 公司簡介

第17章：地方市場

  • 北美洲
  • 歐洲
  • 中國
  • 亞太地區（不包括中國）
    • 日本
    • 韓國
    • 印度
    • 新加坡及東南亞
  • 其他地區
    • 中東
    • 拉丁美洲
    • 非洲

第18章：競爭格局與投資

  • 投資激增
  • 投資主題
  • 層級競爭力分析
  • 主要戰略戰場
  • 主要物理人工智慧投資者
  • 併購現狀
  • AMI Labs的策略定位

第19章：物理人工智慧實施的主要障礙

  • 技術壁壘
  • 經濟壁壘
  • 監管障礙

第20章法規結構

  • 美國
  • 歐洲聯盟
  • 中國
  • 監理差異風險
  • 新型物理人工智慧安全認證體系

第21章：物理人工智慧的主權與地緣政治

  • 一個新興的技術強區
  • 中美物理人工智慧競賽
  • 歐洲的戰略困境
  • 作為中等強國的機會
  • 物理人工智慧和工業主權的未來
  • 各國投資競爭加劇（日本）

第22章：新型物理人工智慧的前沿（2028-2040年）

  • 收斂視界
  • 腦機介面和物理人工智慧
  • 量子感測和物理人工智慧感知
  • 生物物理人工智慧整合
  • 氣候物理人工智慧

第23章 結論與展望

  • 接下來的十年
  • 三個決定性變數
  • 基本洞見

第24章附錄

第25章 參考文獻

Physical AI - systems that sense, decide, and act in the physical world - is the defining technology market of the coming two decades, extending machine intelligence from screens into machines, vehicles, and environments. It spans nine primary vertical sectors - industrial automation, autonomous vehicles and mobility, humanoid and service robots, smart infrastructure, healthcare, agritech, defence, space, and consumer systems - plus a wearable-electronics interface layer and the semiconductor foundation underpinning all of them. In aggregate the market surpasses $430 billion by 2030, crosses $1 trillion around 2035–2040, and approaches $1.6 trillion by 2040, as compute shifts from data-centre training toward real-time edge inference and safety-critical embedded control.

2025 marked an inflection - the first year the full deployment stack matured simultaneously, spanning perception, foundation models, actuation, edge compute, and simulation. The frontier problem has shifted from single-unit capability to fleet-scale coordination: orchestrating heterogeneous, multi-vendor robot fleets toward shared objectives, where vendor-agnostic orchestration software is becoming as strategically valuable as any individual robot. Maturity varies sharply by application - warehouse robots, cobots, surgical systems, and wearables are commercially deployed and reliable, while general-purpose humanoids and domestic robots remain years from the reliability and cost viability that mass adoption requires. Safety certification is emerging as the binding deployment gate, with initiatives such as NVIDIA's Halos and BlackBerry QNX formalising certification to functional-safety standards for robots operating uncaged alongside humans - shifting the constraint on commercial deployment from "capable enough" to "safe enough and certifiable.

"

The market's defining feature is that no single geography has yet combined the four ingredients that decide leadership: frontier intelligence, low-cost manufacturing, certified trustworthiness, and deployment density. The United States leads on intelligence and orchestration software; China on manufacturing cost and volume; Japan on deployment density, now reinforced by a $65 billion sovereign Physical AI commitment targeting over 30% of the global robotics market by 2040; and Europe on an industrial-physics wedge exemplified by Mistral's acquisition of Emmi AI. Public markets have begun repricing the theme, with LG Electronics tripling on its robotics pivot and legacy operating-system and silicon vendors recast as physical-AI infrastructure. The result is an open race whose outcome remains genuinely undetermined - and in which value is rotating toward the deployment, safety, and hardware layers, where revenue is nearest-term and the structural advantages of incumbency and scale are only beginning to assert themselves.

The Global Physical AI Market 2027-2040 provides complete strategic intelligence on the global Physical AI market, with long-horizon forecasts across nine primary vertical sectors plus the wearable-electronics interface layer and the foundational semiconductor stack. It applies a Three-Wave Adoption Framework - Industrial Proving Ground, Cross-Sector Expansion, and Consumer and Sovereign Deployment - and includes TRL assessments by application, regional competitive analysis, regulatory and sovereignty mapping, and detailed profiles of 650+ companies across the value chain.

This 2027 edition captures the developments that reshaped the market over the past year:

  • Record capital: Physical AI raised a record $75 billion plus in 2025 as the full deployment stack matured simultaneously.
  • The coordination frontier: competition has shifted from single-unit capability to fleet-scale orchestration of heterogeneous, multi-vendor robots.
  • The safety-certification gate: certified functional safety - through systems such as NVIDIA Halos and BlackBerry QNX - is now the binding constraint on uncaged, human-adjacent deployment.
  • Consolidation: frontier labs are acquiring industrial-physics capability (Mistral/Emmi AI) and fleet operators are buying manipulation (Bear Robotics/Kinisi).
  • Public-market repricing: LG Electronics tripled on its robotics pivot as markets reprice physical-AI infrastructure.

Report contents include:

  • Executive Summary - The Physical AI moment; top-line findings; the Three-Wave adoption framework; the past year's decisive shifts; the investment surge; and the Open Race thesis
  • Introduction - What Physical AI is; the Sense-Decide-Act triad; why deployment is viable now; and the strategic market arenas
  • Core Technology Architecture - Sensing and perception; Vision-Language-Action and foundation models; actuation and dexterous manipulation; edge computing and fleet orchestration; simulation and digital twins; and energy
  • The Embodiment Gap and Technology Maturity - Where Physical AI surpasses humans; where the gap remains; and TRL assessment by application
  • Semiconductor and Hardware Ecosystem - AI chip market and architectures; the component value chain; and supply chain and geopolitical risk
  • Global Physical AI Market: Aggregate Size and Growth 2027–2040 - Market scope; value pool distribution; and three-scenario forecasts
  • Industrial Automation and Smart Manufacturing - Robotics, cobots, quality inspection, predictive maintenance, warehouse automation, and company profiles
  • Autonomous Vehicles and Mobility Systems - Self-driving cars, freight, drones, delivery robots, maritime, eVTOL, and company profiles
  • Humanoid and Service Robots - Pilots to production; competitive landscape; pricing; and company profiles
  • Smart Infrastructure and the Built Environment - Building AI, energy management, security and patrol robots, and company profiles
  • Healthcare and Medical Physical AI - Surgical robotics, exoskeletons, hospital robots, diagnostics, and company profiles
  • AgriTech and Environmental Physical AI - Autonomous field equipment, precision agriculture, drones, and company profiles
  • Defence, Security and Dual-Use Physical AI - UAVs, UGVs, maritime systems, counter-UAS, and company profiles
  • Space Robotics and Extreme Environments - Planetary exploration, in-space servicing, extreme-environment robots, and company profiles
  • Consumer Physical AI and Smart Home - Robot vacuums, smart home, outdoor and companion robots, and company profiles
  • Wearable Electronics and Physical AI Integration - Market segmentation; XR, smartwatches, medical wearables, hearables, rings, e-textiles; and company profiles
  • Regional Markets - North America, Europe, China, and Rest of World
  • Competitive Landscape and Investment - Investment themes; competitive dynamics; and the M&A landscape
  • Key Barriers - Technical, economic, and regulatory barriers
  • Regulatory Frameworks - US, EU, and China; and the emerging safety-certification regime
  • Physical AI Sovereignty and Geopolitics - US-China competition; Europe's dilemma; and the middle-power opportunity
  • Emerging Physical AI Frontiers (2028–2040) - Brain-computer interfaces, quantum sensing, and climate Physical AI

Companies profiled include ABB Robotics, ABB Smart Buildings, Abbott, Abbott (FreeStyle Libre CGM), Accuray, Activ Surgical, Adidas, Advanced Farm Technologies, AeiRobot, Aeolus Robotics, AeroFarms, AeroVironment, Aethon (TUG), AGCO Corporation, AgEagle, Agersens, Agibot / Zhiyuan Robot, Agility Robotics, AgriTask, Agrobot, AGROINTELLI, Agtonomy, AI SpaceFactory, AiCure, Aidoc, AiQ Smart Clothing, Airbus (Zephyr HAPS), AirMap, AirSeed Technologies, AliveCor (KardiaMobile), ALS (Automated Laboratory Systems), Altitude Angel, Altius Space Machines, AltoVolo, Amazfit / Zepp Health, Amazon Prime Air, Amazon Robotics, Ambi Robotics, Analog Devices, Andromeda, Anduril Industries, ANRA Technologies, ANYbotics, Aohang Intelligent Technology, APOTECAchemo, Apple, Apple (Vision Pro), Applied Intuition, Apptronik, Aquabotix, Arable, Archer Aviation, ARX Robotics, ARxIUM, Ascendance Flight Technologies, Asensus Surgical (KARL STORZ), ASI Mining, Astribot, Astrobotic Technology, Astroscale, Atlas Elektronik, AUBO Robotics, Aurora Innovation, Auterion, AutoFlight, AutoGrid, Automated Packaging Systems, AutoStore, Ava Robotics, Avidbots, Axibo, Axis Communications, Axon Enterprise (TASER / AI Defence), Baidu Apollo Go, Balyo, Bang & Olufsen, Barnstorm AgTech, Bastian Solutions, BD (Becton Dickinson) / BD Rowa / BD Pyxis, Bear Robotics, 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 (space systems), Boeing / Wisk Aero, Bonsai Robotics, Booster Robotics, Borg Robotics, Bosch, Bosch Sensortec, Bose, Boston Dynamics, Boston Dynamics (Spot), Brain Corp, Brainbox AI, Brainlab, Breaker Industries, BridgeDP Robotics, Bright Machines, BrightFarms, BROKK, BuildingIQ, Built Robotics, Bureau Veritas, Burro, BXI Robotics, C3.ai, CACI International, Camus Energy, Carbon Robotics, CardieX, Carrier Global, Caterpillar, Cattle Eye, Circular, Clearpath Robotics, ClearSpace, Clone Robotics, CNH Industrial (Case IH / New Holland), Cobalt Robotics, Coco, Cognex, Comau, Connecterra, Contoro Robotics, CopperTree Analytics, Corindus (Siemens Healthineers), Covariant, Cowlar, CropX, Cubic Farm Systems, Current Health, Cyberdyne, Cyberdyne (HAL), CycloTech, D-Orbit, Daikin, DARPA (RSGS program), Dascena, Dataa Robotics, Dedrone (Axon), Deep Robotics, Deep Trekker, DEKA Research, DeLaval, Denso Robotics, Devanthro, Dexcom, Diehl Aviation, Digger DTR, Diligent Robotics, DistalMotion, DJI, Dobot Robotics, Doccla, Dogtooth Technologies, DOK-ING, Doosan Robotics, Doroni Aerospace, Dreame Technology, Dronamics, DroneDeploy, Dufour Aerospace, Dusty Robotics, Dwbrobot, Dyna Robotics, Dynium Robot, Durr, EarthSense, ECA Group, Ecobee, Ecorobotix, Ecovacs, Eden Green Technology, Ehang, Einride, Eka Robotics, Ekso Bionics, Elbit Systems, Electron Robots, Elephant Robotics, Elevate Farms, Elexon Mining, Elroy Air, Embodied Inc, Emerson Electric / AspenTech, Emesent, Emmi AI, Emotiv, Enchanted Tools, EngineAI, Engineered Arts, Enkel Energi, Enlighted (Siemens), Enline Energy, Epi-Watch, Epiroc, Epirus, Epoch Robotics / ROBOTERA, Epson (Moverio), Epson Robots, Equivital, ERC System, 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), FLIR Systems / Teledyne FLIR, FLSmidth, Flyability, Flytrex, Formic, ForwardX Robotics, Foundation Robotics, Four Growers, Fourier Intelligence, Foxglove, Freight Farms, Furhat Robotics, Galaxea AI, Galbot, Garmin, Gather AI, Gatik, Gauzy, GE Aerospace (eVTOL / AAM Division), GE HealthCare, GEA, Geek+, Generalist, Generation Robots, Generative Bionics, Genetec, Ghost Robotics, GITAI, Globus Medical, Gradient Comfort, Gravis Robotics, 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), Huawei, Hullbot, Humanoid (SKL Robotics), Huntington Ingalls Industries (REMUS), Hylio, i.v.STATION, IBM, IBM Maximo, ICON (extraterrestrial construction), Inceptio, iniVation AG, InOrbit.AI, InstantEye Robotics, IntBot, Interactive Wear, InteraXon (Muse), InTouch Health (Teladoc), Intuitive Machines, Intuitive Surgical, Inuktun, InVia Robotics, iRhythm, Iron Ox, Isansys Lifecare, Ispace, Itron, Jabra (GN Audio), JAKA Robotics, Jaunt Air Mobility, JBT Corporation, Joby Aviation, John Deere, Johnson & Johnson MedTech (OTTAVA), Johnson Controls, JOZ-Tech, JuneBrain, K-Scale Labs, K.U.L.T, KAKTI, Kaman (KMAX), Kawada Robotics, Kawasaki Heavy Industries, Kawasaki Heavy Industries Robotics, Keenon Robotics, Kepler Exploration Robotics, Kernel, Keybotic, Kinestral Technologies, KION Group, Kiwibot, KNAPP, Knightscope, KODE Labs, Kodiak Robotics, Koidra, Komatsu, KONE, Kratos Defense, Kuafu, Kubota, KUKA, kyDrive, L3Harris Technologies, Landis+Gyr, Laronix, Leju Robotics, Lely, Leonardo DRS, Levi Strauss (Project Jacquard), Levita Magnetics, Liebherr, LifeSignals Group, Lilium, LimX Dynamics, Lockheed Martin, Locus Robotics, Loki Robotics, Lucid Audio, Lumos Robotics, Lunar Outpost, Macco Robotics, MacLean Engineering, Magic Leap, MagicLab, Malloy Aeronautics, Manna Drone Delivery, MANUS Technology Group, MARTAC, Masimo 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 Semiconductor Foundation
  • 1.3 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 The Past Twelve Months
    • 1.7.1 Funding crossed a record — and changed shape.
    • 1.7.2 The frontier problem became coordination, not capability
    • 1.7.3 Safety certification emerged as the deployment gate
    • 1.7.4 Sovereign capital entered, led by Japan
    • 1.7.5 The frontier labs moved into the physical economy
  • 1.8 Public Markets Reprice Physical AI
  • 1.9 Market revenues to
  • 1.10 Technology Readiness Level (TRL)
  • 1.11 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 (π) 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
      • 3.6.2.1 2026 developments
    • 3.6.3 Fleet Intelligence and Distributed Learning Networks
    • 3.6.4 Connectivity
  • 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 107 (92 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 214 (12 company profiles)
    • 8.9.2 AUTONOMOUS TRUCKING AND FREIGHT 227 (8 company profiles)
    • 8.9.3 LAST-MILE DELIVERY ROBOTS (SIDEWALK) 235 (5 company profiles)
    • 8.9.4 DELIVERY DRONES 241 (7 comapmy profiles)
    • 8.9.5 AUTONOMOUS MARITIME SYSTEMS 250 (3 company profiles)
    • 8.9.6 eVTOL AIRCRAFT MANUFACTURERS 253 (37 company profiles)
    • 8.9.7 VERTIPORT AND UAM INFRASTRUCTURE 291 (4 company profiles)
    • 8.9.8 AIRSPACE MANAGEMENT AND UTM PLATFORMS 295 (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 303 (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 419 (22 company profiles)
    • 10.7.2 SECURITY, ACCESS CONTROL AND SURVEILLANCE AI 441 (5 company profiles)
    • 10.7.3 PATROL AND SECURITY ROBOTS 446 (2 company profiles)
    • 10.7.4 CLEANING AND DISINFECTION ROBOTS 448 (9 company profiles)
    • 10.7.5 SMART ELEVATORS, ESCALATORS AND VERTICAL TRANSPORT 457 (4 company profiles)
    • 10.7.6 SMART ENERGY AND GRID AI 461 (12 company profiles)
    • 10.7.7 AI-CONTROLLED SMART GLAZING 473 (4 company profiles)
    • 10.7.8 SMART HVAC AND CLIMATE AI 477 (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 488 (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 558 (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 636 (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 676 (23 company profiles)
    • 14.5.2 UNDERWATER & DEEP SEA 699 (9 company profiles)
    • 14.5.3 NUCLEAR & RADIATION HAZARD 708 (2 company profiles)
    • 14.5.4 MINING & SUBSURFACE 710 (27 company profiles)
    • 14.5.5 HAZARDOUS ENVIRONMENT INSPECTION (OIL & GAS, INDUSTRIAL, INFRASTRUCTURE) 737 (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
  • 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 754 (10 company profiles)
    • 16.13.2 SMART RINGS 764 (7 company profiles)
    • 16.13.3 AR / VR / XR AND SMART GLASSES 771 (16 company profiles)
    • 16.13.4 AI HEARABLES 787 (7 company profiles)
    • 16.13.5 MEDICAL AND CLINICAL AI WEARABLES 794 (20 company profiles)
    • 16.13.6 EXOSKELETONS AND PHYSICAL ASSISTANCE WEARABLES 814 (8 company profiles)
    • 16.13.7 NEURAL INTERFACES AND BCI WEARABLES 822 (8 company profiles)
    • 16.13.8 INDUSTRIAL AND WORKER SAFETY WEARABLES 830 (5 company profiles)
    • 16.13.9 SMART CLOTHING AND AI E-TEXTILES 835 (8 company profiles)
    • 16.13.10 WEARABLE AI CHIPS AND COMPUTE PLATFORMS 843 (5 company profiles)
    • 16.13.11 SPORTS AND PERFORMANCE AI WEARABLES 848 (3 company profiles)
    • 16.13.12 REMOTE PATIENT MONITORING PLATFORMS 851 (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
    • 18.6.1 Consolidation in
  • 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
  • 20.5 The Emerging Physical AI Safety-Certification Regime

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
  • 21.6 The Sovereign Investment Race Intensifies (Japan)

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

List of Tables

  • Table 1. Humanoid Robot Bill of Materials Compression 2025–2040 (USD per robot)
  • Table 2. Global Robotics Investment by Funding Category 2015–2025 (USD Billions)
  • Table 3. Physical AI Sub-Market Revenues and Forecasts (USD Billions)
  • Table 4. Technology Readiness Level (TRL) Assessment Across Physical AI Sub-Markets (2026)
  • Table 5. Key modalities by application:
  • Table 6. Foundation Models for Robotics — Status as of Q1 2026.
  • Table 7. Competitive Edge AI Landscape
  • Table 8. Global AI Chip Market Revenue by End Market, 2020–2040 (USD Billions)
  • Table 9. Global AI Chip Market Revenue by Architecture, 2020–2040 (USD Billions)
  • Table 10. Key Players in AI Chips by Application Category
  • Table 11. Global AI Chip Market Revenue by Region, 2020–2040 (USD Billions)
  • Table 12. National AI Chip Government Funding and Initiatives
  • Table 13. Global Physical AI Market — Total Addressable Market Summary 2026–2040
  • Table 14. Physical AI Value Pool Analysis by Stack Layer (Base Case, 2030)
  • Table 15. Global Physical AI Market — Scenario Forecasts (USD Billions)
  • Table 16. Global Industrial Robot Market by Region 2020–2040 (USD Millions)
  • Table 17. Global Cobot Market by Payload Capacity 2025–2045 (USD Millions)
  • Table 18. Autonomous Vehicle and Mobility Market Size 2026–2040 (USD Billions)
  • Table 19. SAE Autonomy Level Commercial Status (Q1 2026)
  • Table 20. Waymo Operational Metrics 2022–2026
  • Table 21. Global eVTOL Air Taxi Sales Forecast 2026–2040 (Units)
  • Table 22. eVTOL Sales by Application 2026–2040 (Units)
  • Table 23. eVTOL Sales by Architecture Type 2026–2040 (Units)
  • Table 24. eVTOL Revenue Value Chain — Selected Segments 2026 vs. 2036
  • Table 25. eVTOL Certification Status (Q1 2026)
  • Table 26. Vertiport Deployment Forecast 2026–2040
  • Table 27. Autonomous Vehicle SAE Level 4/5 Regulatory Comparison
  • Table 28. Global Humanoid Robot Market — Unified Forecast 2024–2040
  • Table 29. Three-Wave Adoption Model for Humanoid Robots
  • Table 30. 2025 Market Concentration
  • Table 31. Regional Production Capacity (2036 Projection):
  • Table 32. Current Humanoid Robot Pricing (2025–2026)
  • Table 33. Smart Infrastructure & Built Environment Market Sizing 2025–2040 (Billion USD)
  • Table 34. Healthcare Physical AI Market Sizing 2025–2040 (Billions USD)
  • Table 35. Surgical Robotics Competitive Landscape (Q1 2026)
  • Table 36. Medical Exoskeleton Applications and Market
  • Table 37. Smart Farming Physical AI Market — Revenue by Technology 2023–2040 (USD Billions)
  • Table 38. Smart Farming Physical AI Market — Revenue by Region 2023–2040 (USD Billions)
  • Table 39. Defense & Security Physical AI Market Sizing 2025–2040
  • Table 40. Space Robotics & Extreme Environment Physical AI Market 2025–2040
  • Table 41. Consumer Physical AI & Smart Home Market 2025–2040 (USD Billions)
  • Table 42. Global Wearable Electronics Market Forecast 2024–2040
  • Table 43. Wearable Electronics Market by Product Category 2026 vs. 2036
  • Table 44. Global Consumer Wearable Electronics by Type (Million Units)
  • Table 45. Global Wearable Electronics Market Leaders by Shipment Volume, 2025
  • Table 46. XR Wearable Technology Roadmap 2026–2040
  • Table 47. North America Physical AI Market ($B)
  • Table 48. European Physical AI Market ($B)
  • Table 49. China Physical AI Market ($B)
  • Table 50. Largest Physical AI Funding Rounds (Selected, 2024–2026)
  • Table 51. Physical AI Value Chain Competitive Intensity
  • Table 52. Most Active Physical AI Investors (2023–2026)

List of Figures

  • Figure 1. Technology Readiness Level (TRL) Assessment by Application
  • Figure 2. Global AI Chip Market Revenue by End Market, 2020–2040 (USD Billions)
  • Figure 3. Global AI Chip Market Revenue by Architecture, 2020–2040 (USD Billions)
  • Figure 4. Global Physical AI Market — Scenario Forecasts (USD Billions)
  • Figure 5. Global Industrial Robot Market by Region 2020–2040 (USD Millions)
  • Figure 6. Global Cobot Market by Payload Capacity 2025–2045 (USD Millions)
  • Figure 7. Agility Robotics Digit.
  • Figure 8. Contoro's robot arm
  • Figure 9. Doosan A0509S Collaborative Robot
  • Figure 10. JAKA Pro 5 collaborative robot
  • Figure 11. Autonomous Vehicle and Mobility Market Size 2026–2040 (USD Billions)
  • Figure 12. eVTOL Sales by Application 2026–2040 (Units)
  • Figure 13. eVTOL Sales by Architecture Type 2026–2040 (Units)
  • Figure 14. Waymo self-driving car.
  • Figure 15. Nuro delivery robot.
  • Figure 16. Dronamics Black Swan Cargo drone.
  • Figure 17. Mann delivery drone.
  • Figure 18. EHang EH216-S
  • Figure 19. Vertical Aerospace eVOTL aircraft.
  • Figure 20. NEO by 1X
  • Figure 21. Agibot A2 Humanoid Robot
  • Figure 22. Reflex Robotics' wheeled humanoid robot
  • Figure 23. Richtech Robotics
  • Figure 24. Unitree G1 Humanoid Robot
  • Figure 25. Smart Infrastructure & Built Environment Market Sizing 2025–2040 (Billion USD)
  • Figure 26. whereable.ai's Autonomous Indoor Shuttle "linq"
  • Figure 27. Cobalt Robotics Autonomous Security Robots
  • Figure 28. Loki Cleaning Robot.
  • Figure 29. UVD Disinfection Robot
  • Figure 30. Healthcare Physical AI Market Sizing 2025–2040
  • Figure 31. ActivSight Enhanced Visualization Module
  • Figure 32. Smart Farming Physical AI Market — Revenue by Technology 2023–2040 (USD Billions)
  • Figure 33. Smart Farming Physical AI Market — Revenue by Region 2023–2040 (USD Billions)
  • Figure 34. FarmWise Titan FT-35
  • Figure 35. Defense & Security Physical AI Market Sizing 2025–2040
  • Figure 36. Vision 60
  • Figure 37. InstantEye Gen-5
  • Figure 38. Knightscope K5
  • Figure 39. Space Robotics & Extreme Environment Physical AI Market 2025–2040
  • Figure 40. Consumer Physical AI & Smart Home Market 2025–2040 (USD Billions)
  • Figure 41. RayNeo X2
  • Figure 42. Zuper Glass
  • Figure 43. Crown EEG headset