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세계의 임보디드 AI 시장 : 제품 유형별, 구현화 레벨별, 업계별, 지역별 - 예측(-2030년)

Embodied AI Market by Product Type [Robots (Humanoid Robots, Mobile Robots, Industrial Robots, Service Robots, Cobots), Exoskeletons, Autonomous Systems, Smart Appliances], Level of Embodiment (Level 1, Level 2, Level 3) - Global Forecast to 2030

발행일: | 리서치사: MarketsandMarkets | 페이지 정보: 영문 291 Pages | 배송안내 : 즉시배송

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

임보디드 AI 시장 규모는 2025년 44억 4,000만 달러에서 2030년에는 230억 6,000만 달러로 확대되어 CAGR 39.0%를 달성할 것으로 예측됩니다.

이러한 성장은 로봇공학과 AI의 발전으로 기계가 보다 자율적으로 작동하고 맥락을 인식할 수 있게 됨에 따라 이루어지고 있습니다. 소비자 시장에서 스마트 어시스턴트 및 서비스 로봇의 존재감이 높아짐에 따라 이러한 추세는 더욱 가속화될 것이며, AI가 탑재된 기기가 가정에서 청소, 경비, 간병 등의 업무를 수행하는 것이 일반화될 것입니다. 또한, 임보디드 AI는 로봇과 차량이 복잡한 주변 환경을 이해하고 탐색할 수 있는 능력을 부여하여 실제 이동성을 향상시킴으로써 자율 시스템을 개선하는 데 기여할 것입니다.

조사 범위
조사 대상 연도 2021-2030년
기준 연도 2024년
예측 기간 2025-2030년
검토 단위 금액(10억 달러)
부문별 제품 유형별, 구현화 레벨별, 업계별, 지역별
대상 지역 북미, 유럽, 아시아태평양, 기타 지역

모바일 로봇 분야는 복잡한 환경을 탐색할 수 있는 자율적이고 유연한 솔루션에 대한 수요가 산업계 전반에서 증가하고 있어 높은 성장이 예상됩니다. 구현형 AI를 탑재한 모바일 로봇은 실시간으로 주변 환경을 감지, 처리, 대응할 수 있어 창고, 병원, 소매점, 공공장소에 적합합니다. 모바일 로봇은 자재 취급, 재고 추적, 실내 배송, 시설 모니터링 등의 작업에 도입되고 있습니다. 자유롭게 움직이고 지능적인 판단을 내릴 수 있는 능력은 워크플로우의 자동화와 생산성을 크게 향상시켜 시장 성장을 촉진하고 있습니다.

복잡한 반복 작업과 위험한 작업을 정확하게 수행하는 지능형 로봇 시스템에 대한 수요가 증가함에 따라, 산업 자동화 분야가 임보디드 AI 시장에서 가장 큰 시장 점유율을 차지하고 있습니다. 임보디드 AI는 기계가 문맥을 이해하고, 역동적인 공장 환경을 탐색하며, 자율 검사, 유연한 조립, 공동 처리와 같은 작업에 필수적인 실시간 운영 결정을 내릴 수 있게 해줍니다. ABB, Fanuc, Yaskawa, KUKA AG와 같은 기업들은 자율성, 안전, 인간과 기계의 협업을 강화하기 위해 AI를 도입하여 로봇의 자율성, 안전, 인간과 기계 간 협업을 강화하기 위해 산업용 로봇에 AI를 통합하여 완전히 자율적이고 상호연결된 제조 생태계를 지원하고 있습니다.

북미의 임보디드 AI 시장의 성장은 기술 기업, 스타트업, 학술 기관의 활발한 생태계가 뒷받침하는 AI 및 로봇 공학에 대한 활발한 투자에 힘입어 성장하고 있습니다. Boston Dynamics, Tesla, Apptronik, Agility Robotics, Sanctuary Cognitive Systems Corporation과 같은 주요 기업들은 휴머노이드 로봇에서 자율적인 모바일 플랫폼에 이르기까지 첨단 임보디드 AI 시스템 개발을 주도하고 있습니다. 또한, 이 지역은 초기 기술 도입과 고도로 발달한 디지털 인프라의 혜택을 누리고 있으며, 헬스케어, 물류, 국방, 스마트 제조 등의 분야에서 임보디드 AI의 원활한 통합을 가능하게 하고 있습니다.

세계의 임보디드 AI 시장에 대해 조사했으며, 제품 유형별, 구현 수준별, 산업별, 지역별 동향, 시장 진입 기업 프로파일 등의 정보를 정리하여 전해드립니다.

목차

제1장 소개

제2장 조사 방법

제3장 주요 요약

제4장 주요 인사이트

제5장 시장 개요

  • 소개
  • 시장 역학
  • 고객의 비즈니스에 영향을 미치는 동향/혼란
  • 밸류체인 분석
  • 생태계 분석
  • 투자와 자금 조달 시나리오, 2021-2025년
  • Porter's Five Forces 분석
  • 주요 이해관계자와 구입 기준
  • 특허 분석
  • 규제 상황
  • 무역 분석
  • 가격 분석
  • 기술 분석
  • 사례 연구 분석
  • 2025-2026년의 주요 회의와 이벤트
  • 2025년 미국 관세가 임보디드 AI 시장에 미치는 영향

제6장 임보디드 AI 시장(제품 유형별)

  • 소개
  • 로봇
  • 외골격
  • 자율 시스템
  • 스마트 가전

제7장 임보디드 AI 시장(구현화 레벨별)

  • 소개
  • 레벨 1 : 기본
  • 레벨 2 : 중급
  • 레벨 3 : 고도

제8장 임보디드 AI 시장(업계별)

  • 소개
  • 헬스케어
  • 산업 자동화
  • 자동차
  • 물류와 공급망
  • 방위와 안보
  • 소매
  • 교육
  • 기타

제9장 임보디드 AI 시장(지역별)

  • 소개
  • 북미
    • 북미의 거시경제 전망
    • 미국
    • 캐나다
    • 멕시코
  • 유럽
    • 유럽의 거시경제 전망
    • 독일
    • 영국
    • 프랑스
    • 이탈리아
    • 스페인
    • 폴란드
    • 북유럽
    • 기타
  • 아시아태평양
    • 아시아태평양의 거시경제 전망
    • 중국
    • 한국
    • 일본
    • 인도
    • 호주
    • 인도네시아
    • 말레이시아
    • 태국
    • 베트남
    • 기타
  • 기타 지역
    • 기타 지역의 거시경제 전망
    • 남미
    • 아프리카
    • 중동

제10장 경쟁 구도

  • 개요
  • 주요 진출 기업의 전략/강점, 2022-2025년
  • 매출 분석, 2021-2024년
  • 시장 점유율 분석, 2024년
  • 기업 평가와 재무 지표
  • 브랜드/제품 비교
  • 임보디드 AI 기업 평가 매트릭스 : 주요 진출 기업, 2024년
  • 임보디드 AI에 관한 기업 평가 매트릭스 : 스타트업/중소기업, 2024년
  • 경쟁 시나리오

제11장 기업 개요

  • 주요 진출 기업
    • SOFTBANK ROBOTICS GROUP
    • ABB
    • TOYOTA MOTOR CORPORATION
    • KUKA AG
    • BOSTON DYNAMICS
    • ROBOTIS CO., LTD.
    • YASKAWA ELECTRIC CORPORATION
    • FANUC CORPORATION
    • TESLA
    • AGILITY ROBOTICS
  • 기타 기업
    • HANSON ROBOTICS LTD.
    • 1X TECHNOLOGIES
    • ENGINEAI
    • SHANGHAI AGIBOT INNOVATION TECHNOLOGY CO., LTD.
    • ANYBOTICS
    • GHOSTROBOTICS
    • UNIVERSAL ROBOTS A/S
    • BEAR ROBOTICS, INC.
    • APPTRONIK
    • NURO, INC.
    • UNITREE ROBOTICS
    • WAYVE
    • FOURIER

제12장 부록

ksm 25.07.17

The embodied AI market is projected to expand from USD 4.44 billion in 2025 to USD 23.06 billion by 2030, achieving a CAGR of 39.0%. This growth is driven by advancements in robotics and AI, which enable machines to function more autonomously and to be contextually aware. The increasing presence of smart assistants and service robots in consumer markets further bolsters this trend, making AI-powered devices commonplace in homes for cleaning, security, and caregiving tasks. Moreover, embodied AI contributes to improving autonomous systems by enhancing real-world mobility, empowering robots and vehicles to understand and navigate intricate surroundings.

Scope of the Report
Years Considered for the Study2021-2030
Base Year2024
Forecast Period2025-2030
Units ConsideredValue (USD Billion)
SegmentsBy Product Type, Level of Embodiment, Vertical, and Region
Regions coveredNorth America, Europe, APAC, RoW

"Mobile robots are projected to record the highest CAGR during the forecast period"

The mobile robots segment is expected to grow at a high rate with increasing demand across industries for autonomous and flexible solutions that can navigate complex environments. Mobile robots, powered by embodied AI, can sense, process, and respond to their surroundings in real time, making them ideal for warehouses, hospitals, retail stores, and public spaces. Mobile robots are being deployed for tasks like material handling, inventory tracking, indoor delivery, and facility monitoring. Their ability to move freely and make intelligent decisions significantly enhances workflow automation and productivity, driving market growth.

"Industrial automation vertical to hold largest market share in 2025"

The industrial automation vertical holds the largest market share in the embodied AI market driven by the increasing demand for intelligent robotic systems that can perform complex, repetitive, and hazardous tasks with precision. Embodied AI enables machines to understand context, navigate dynamic factory settings, and make real-time operational decisions, which is vital for tasks such as autonomous inspection, flexible assembly, and collaborative handling. Companies including ABB, FANUC, Yaskawa Electric, and KUKA AG have integrated AI into their industrial robots to enhance autonomy, safety, and human-machine collaboration to support fully autonomous and interconnected manufacturing ecosystems.

"North America to hold largest market share in embodied AI market in 2025"

The growth of the embodied AI market in North America is being fueled by robust investment in AI and robotics, supported by a vibrant ecosystem of technology companies, startups, and academic institutions. Major players such as Boston Dynamics, Tesla, Apptronik, Agility Robotics, and Sanctuary Cognitive Systems Corporation are leading the development of advanced embodied AI systems ranging from humanoid robots to autonomous mobile platforms. Moreover, the region benefits from early technology adoption and a highly developed digital infrastructure, which allows for seamless integration of embodied AI across sectors such as healthcare, logistics, defense, and smart manufacturing.

Extensive primary interviews were conducted with key industry experts in the embodied AI market space to determine and verify the market size for various segments and subsegments gathered through secondary research. The breakdown of primary participants for the report is shown below.

  • By Company Type: Tier 1-40%, Tier 2-20%, and Tier 3-40%
  • By Designation: C-level Executives-10%, Directors-30%, and Others-60%
  • By Region: Asia Pacific-40%, Europe-20%, North America-30%, and RoW-10%

The embodied AI market is dominated by a few globally established players, such as SoftBank Robotics Group (Japan), ABB (Switzerland), TOYOTA MOTOR CORPORATION (Japan), KUKA AG (Germany), Boston Dynamics (US), ROBOTIS Co., Ltd. (South Korea), YASKAWA ELECTRIC CORPORATION (Japan), FANUC CORPORATION (Japan), Tesla (US), Agility Robotics (US), Figure (US), Sanctuary Cognitive Systems Corporation (Canada), Hanson Robotics Ltd. (China), 1X Technologies (Norway), EngineAI (China), Shanghai AgiBot Innovation Technology Co., Ltd (China), ANYbotics (Switzerland), Ghostrobotics (US), Universal Robots A/S (Denmark), Bear Robotics, Inc. (US), Apptronik (US), Nuro, Inc. (US), Unitree Robotics (China), Wayve (UK), and Fourier (China).

The study includes an in-depth competitive analysis of these key players in the embodied AI market, with their company profiles, recent developments, and key market strategies.

Research Coverage:

The report segments the embodied AI market based on product type (robots, exoskeletons, autonomous systems, smart appliances), level of embodiment (level 1: basic embodiment, level 2: intermediate embodiment, level 3: advanced embodiment), and vertical (healthcare, industrial automation, automotive, logistics & supply chain, defense & security, retail, education, and others). It also discusses the market's drivers, restraints, opportunities, and challenges. It gives a detailed view of the market across four main regions (North America, Europe, Asia Pacific, and RoW). The report includes an ecosystem analysis of key players.

Reasons to buy this report:

This report will provide market leaders/new entrants with information on the closest approximations of revenues for the overall embodied AI market and its subsegments. The report will help stakeholders understand the competitive landscape and gain insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and offers information on the key market drivers, restraints, challenges, and opportunities.

Key Benefits of Buying the Report:

  • Analysis of key drivers (advancements in robotics and AI integration to enhance machine autonomy, increasing demand for human-robot interaction, growth of smart assistants and service robots in consumer markets, real-world mobility with embodied AI in autonomous systems), restraints (ethical dilemmas in human-robot interactions, privacy concerns in public and private environments), opportunities (expanding embodied AI applications in healthcare and elderly care, transforming industrial automation with embodied AI and collaborative robots, learning and well-being through educational and social robots, advancements in military capabilities using embodied AI in tactical operations), challenges (data scarcity in collecting real-world training sets, fragmentation in standardized platforms and protocols)
  • Service Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and new product launches in the embodied AI market
  • Market Development: Comprehensive information about lucrative markets through the analysis of the embodied AI market across varied regions
  • Market Diversification: Exhaustive information about new products and services, untapped geographies, recent developments, and investments in the embodied AI market
  • Competitive Assessment: In-depth assessment of market shares, growth strategies, and product offerings of leading players, such as SoftBank Robotics Group (Japan), ABB (Switzerland), TOYOTA MOTOR CORPORATION (Japan), KUKA AG (Germany), Boston Dynamics (US), ROBOTIS Co., Ltd. (South Korea), YASKAWA ELECTRIC CORPORATION (Japan), FANUC CORPORATION (Japan), Tesla (US), Agility Robotics (US), Figure (US), Sanctuary Cognitive Systems Corporation (Canada), Hanson Robotics Ltd. (China), 1X Technologies (Norway), and EngineAI (China), among others

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
  • 1.3 STUDY SCOPE
    • 1.3.1 MARKETS COVERED
    • 1.3.2 INCLUSIONS AND EXCLUSIONS
    • 1.3.3 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
  • 1.5 UNITS CONSIDERED
  • 1.6 STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY AND PRIMARY RESEARCH
    • 2.1.2 SECONDARY DATA
      • 2.1.2.1 List of major secondary sources
      • 2.1.2.2 Key data from secondary sources
    • 2.1.3 PRIMARY DATA
      • 2.1.3.1 List of primary interview participants
      • 2.1.3.2 Breakdown of primaries
      • 2.1.3.3 Key data from primary sources
      • 2.1.3.4 Key industry insights
  • 2.2 MARKET SIZE ESTIMATION
    • 2.2.1 BOTTOM-UP APPROACH
      • 2.2.1.1 Approach to estimate market size using bottom-up analysis (demand side)
    • 2.2.2 TOP-DOWN APPROACH
      • 2.2.2.1 Approach to estimate market size using top-down analysis (supply side)
  • 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
  • 2.4 RESEARCH ASSUMPTIONS
  • 2.5 RISK ASSESSMENT
  • 2.6 RESEARCH LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN EMBODIED AI MARKET
  • 4.2 EMBODIED AI MARKET, BY PRODUCT TYPE AND LEVEL OF EMBODIMENT
  • 4.3 EMBODIED AI MARKET, BY VERTICAL
  • 4.4 EMBODIED AI MARKET, BY COUNTRY

5 MARKET OVERVIEW

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Advancements in robotics and AI integration to enhance machine autonomy
      • 5.2.1.2 Increasing demand for human-robot interaction
      • 5.2.1.3 Growth of smart assistants and service robots in consumer markets
      • 5.2.1.4 Real-world mobility with embodied AI in autonomous systems
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Ethical dilemmas in human-robot interactions
      • 5.2.2.2 Privacy concerns in public and private environments
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Expanding applications in healthcare and elderly care
      • 5.2.3.2 Transforming industrial automation with embodied AI and collaborative robots
      • 5.2.3.3 Learning and well-being through educational and social robots
      • 5.2.3.4 Advancements in military capabilities using embodied AI in tactical operations
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Data scarcity in collecting real-world training sets
      • 5.2.4.2 Fragmentation in standardized platforms and protocols
  • 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES
  • 5.4 VALUE CHAIN ANALYSIS
  • 5.5 ECOSYSTEM ANALYSIS
  • 5.6 INVESTMENT AND FUNDING SCENARIO, 2021-2025
  • 5.7 PORTER'S FIVE FORCES ANALYSIS
    • 5.7.1 INTENSITY OF COMPETITIVE RIVALRY
    • 5.7.2 BARGAINING POWER OF SUPPLIERS
    • 5.7.3 BARGAINING POWER OF BUYERS
    • 5.7.4 THREAT OF SUBSTITUTES
    • 5.7.5 THREAT OF NEW ENTRANTS
  • 5.8 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.8.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • 5.8.2 BUYING CRITERIA
  • 5.9 PATENT ANALYSIS
  • 5.10 REGULATORY LANDSCAPE
    • 5.10.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.10.2 STANDARDS
    • 5.10.3 REGULATIONS
      • 5.10.3.1 North America
        • 5.10.3.1.1 US
        • 5.10.3.1.2 Canada
      • 5.10.3.2 Europe
        • 5.10.3.2.1 Germany
        • 5.10.3.2.2 France
      • 5.10.3.3 Asia Pacific
        • 5.10.3.3.1 Japan
        • 5.10.3.3.2 South Korea
      • 5.10.3.4 Rest of the World
        • 5.10.3.4.1 Saudi Arabia
        • 5.10.3.4.2 Brazil
  • 5.11 TRADE ANALYSIS
    • 5.11.1 IMPORT DATA (HS CODE 847950)
    • 5.11.2 EXPORT SCENARIO (HS CODE 847950)
  • 5.12 PRICING ANALYSIS
    • 5.12.1 AVERAGE SELLING PRICE OF EMBODIED AI ROBOT TYPES, BY KEY PLAYER, 2024 (USD)
    • 5.12.2 PRICING RANGE OF EMBODIED AI ROBOT TYPES, BY KEY PLAYER, 2024
    • 5.12.3 AVERAGE SELLING PRICE OF EMBODIED AI ROBOT TYPES, BY REGION, 2021-2024 (USD)
  • 5.13 TECHNOLOGY ANALYSIS
    • 5.13.1 KEY TECHNOLOGIES
      • 5.13.1.1 Simultaneous Localization and Mapping (SLAM)
      • 5.13.1.2 Reinforcement Learning (RL)
      • 5.13.1.3 Sensor Fusion
      • 5.13.1.4 Computer Vision
      • 5.13.1.5 Natural Language Processing (NLP)
    • 5.13.2 COMPLEMENTARY TECHNOLOGIES
      • 5.13.2.1 Cloud Robotics Platforms
      • 5.13.2.2 Human-Machine Interfaces (HMIs)
      • 5.13.2.3 Simulation & Digital Twins
    • 5.13.3 ADJACENT TECHNOLOGIES
      • 5.13.3.1 Neuromorphic Computing
      • 5.13.3.2 AR/VR (Augmented & Virtual Reality)
  • 5.14 CASE STUDY ANALYSIS
    • 5.14.1 CASE STUDY 1: STELLANTIS NV-TRANSFORMING INFOTAINMENT TESTING WITH COMAU'S AI-POWERED COLLABORATIVE ROBOTICS
    • 5.14.2 CASE STUDY 2: LOVEMARK-AI-POWERED 3D VISION TRANSFORMS HALOGEN LEAK DETECTION FOR AIR CONDITIONER PRODUCTION
    • 5.14.3 CASE STUDY 3: NEXLAM S.R.L.-EMBRACING SMART WELDING AUTOMATION WITH ROBOTECO-ITALARGON'S TAWERS AND GWP
  • 5.15 KEY CONFERENCES AND EVENTS, 2025-2026
  • 5.16 IMPACT OF 2025 US TARIFFS-EMBODIED AI MARKET
    • 5.16.1 INTRODUCTION
    • 5.16.2 KEY TARIFF RATES
    • 5.16.3 PRICE IMPACT ANALYSIS
    • 5.16.4 IMPACT ON COUNTRIES/REGIONS
      • 5.16.4.1 US
      • 5.16.4.2 Europe
      • 5.16.4.3 Asia Pacific
    • 5.16.5 IMPACT ON END-USE INDUSTRIES
      • 5.16.5.1 Healthcare
      • 5.16.5.2 Automation & manufacturing
      • 5.16.5.3 Automotive
      • 5.16.5.4 Logistics & supply chain
      • 5.16.5.5 Defense & security
    • 5.16.6 RETAIL
    • 5.16.7 EDUCATION

6 EMBODIED AI MARKET, BY PRODUCT TYPE

  • 6.1 INTRODUCTION
  • 6.2 ROBOTS
    • 6.2.1 HUMANOID ROBOTS
      • 6.2.1.1 Expanding human-robot interaction capabilities to meet rising demand in service sectors
    • 6.2.2 MOBILE ROBOTS
      • 6.2.2.1 Growing deployment of AI-powered mobile robots for efficient material handling and warehouse automation to drive growth
    • 6.2.3 INDUSTRIAL ROBOTS
      • 6.2.3.1 Focus on smart factory transformation by integrating AI-powered industrial robots with IoT and cloud systems
    • 6.2.4 SERVICE ROBOTS
      • 6.2.4.1 Need for automation in healthcare and eldercare to support growth
    • 6.2.5 COBOTS
      • 6.2.5.1 Boosting assembly and packaging efficiency through AI-enhanced pick-and-place cobots to propel market growth
  • 6.3 EXOSKELETONS
    • 6.3.1 RISING USE OF EXOSKELETONS IN HEALTHCARE FOR REHABILITATION TO BOOST MARKET GROWTH
  • 6.4 AUTONOMOUS SYSTEMS
    • 6.4.1 ENABLING ADAPTIVE NAVIGATION TO SUPPORT DYNAMIC ENVIRONMENTS TO DRIVE MARKET FOR AUTONOMOUS SYSTEMS
  • 6.5 SMART APPLIANCES
    • 6.5.1 RISING DEMAND FOR INTELLIGENT HOME DEVICES AND CLEANING ROBOTS TO FUEL MARKET GROWTH

7 EMBODIED AI MARKET, BY LEVEL OF EMBODIMENT

  • 7.1 INTRODUCTION
  • 7.2 LEVEL 1: BASIC EMBODIMENT
    • 7.2.1 RISING CONSUMER DEMAND FOR AFFORDABLE AUTOMATION TO DRIVE MARKET GROWTH FOR LEVEL 1 EMBODIMENT
  • 7.3 LEVEL 2: INTERMEDIATE EMBODIMENT
    • 7.3.1 RISING ADOPTION OF ROBOTS IN WAREHOUSES AND AUTONOMOUS DELIVERY TO PROPEL MARKET GROWTH
  • 7.4 LEVEL 3: ADVANCED EMBODIMENT
    • 7.4.1 CONVERGENCE OF LLMS AND PHYSICAL INTELLIGENCE TO DRIVE GROWTH IN ADVANCED EMBODIMENT MARKET

8 EMBODIED AI MARKET, BY VERTICAL

  • 8.1 INTRODUCTION
  • 8.2 HEALTHCARE
    • 8.2.1 ROBOTIC SURGERY & ASSISTANCE
      • 8.2.1.1 Increasing adoption of surgical robots for enhanced precision and control to drive the growth of the market
    • 8.2.2 PATIENT CARE & REHABILITATION
      • 8.2.2.1 Rising demand for elderly and chronic care solutions to drive market growth
    • 8.2.3 MEDICAL IMAGING & DIAGNOSTICS
      • 8.2.3.1 Accelerated diagnostic efficiency through AI-enhanced image acquisition and interpretation to boost market growth
  • 8.3 INDUSTRIAL AUTOMATION
    • 8.3.1 FACTORY AUTOMATION
      • 8.3.1.1 Growing need to replace manual labor with high-yield, self-adaptive robotic systems to drive adoption in factories
    • 8.3.2 QUALITY CONTROL & INSPECTION
      • 8.3.2.1 Growing demand for zero-defect production to drive adoption of intelligent quality assurance robots
  • 8.4 AUTOMOTIVE
    • 8.4.1 AUTONOMOUS VEHICLES
      • 8.4.1.1 Increasing demand for contactless and autonomous mobility solutions to boost market for embodied AI in autonomous vehicles
    • 8.4.2 ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS)
      • 8.4.2.1 OEM investments in L2+ and L3 automation to fuel embodied AI innovation in driver assistance systems
  • 8.5 LOGISTICS & SUPPLY CHAIN
    • 8.5.1 AUTONOMOUS DELIVERY SYSTEMS
      • 8.5.1.1 Integration of embodied AI with warehouse automation and smart logistics infrastructure to boost adoption
    • 8.5.2 WAREHOUSE AUTOMATION
      • 8.5.2.1 Advancements in physical AI-powered digital twins to boost market for embodied AI in warehouse automation
  • 8.6 DEFENSE & SECURITY
    • 8.6.1 AUTONOMOUS SURVEILLANCE DRONES
      • 8.6.1.1 Advancements in AI perception, navigation, and communication technologies to propel adoption of autonomous surveillance drones
    • 8.6.2 SEARCH & RESCUE OPERATIONS
      • 8.6.2.1 Increasing challenges in GPS-denied and complex environments to propel demand for embodied AI in SAR operations
    • 8.6.3 AUTONOMOUS COMBAT SYSTEMS
      • 8.6.3.1 Need to reduce human exposure in high-risk operations to increase demand for embodied AI in autonomous combat systems
  • 8.7 RETAIL
    • 8.7.1 CUSTOMER SERVICE ROBOTS
      • 8.7.1.1 Labor shortages in customer-facing roles to accelerate adoption of embodied AI robots for retail and hospitality services
    • 8.7.2 IN-STORE ROBOTICS FOR INVENTORY MANAGEMENT
      • 8.7.2.1 Growing deployment of intelligent mobile robots in high-traffic retail environments to drive market
    • 8.7.3 PERSONALIZED SHOPPING ASSISTANTS
      • 8.7.3.1 Rising consumer expectations for personalized in-store experiences to boost demand
  • 8.8 EDUCATION
    • 8.8.1 TEACHING ROBOTS
      • 8.8.1.1 Integration of intelligent robotics in classrooms to propel growth of embodied AI for teaching applications
    • 8.8.2 INTERACTIVE LEARNING SYSTEMS
      • 8.8.2.1 Integration of AI with multisensory interfaces to drive adoption of interactive learning systems in education
    • 8.8.3 AI TUTORS
      • 8.8.3.1 Advancements in NLP and emotion-aware AI are set to drive adoption of AI tutors
  • 8.9 OTHER VERTICALS

9 EMBODIED AI MARKET, BY REGION

  • 9.1 INTRODUCTION
  • 9.2 NORTH AMERICA
    • 9.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
    • 9.2.2 US
      • 9.2.2.1 Advancements of humanoids and mobile robots in the region to drive market growth
    • 9.2.3 CANADA
      • 9.2.3.1 Major investments in robotics, healthcare automation, and AI talent to boost embodied AI in Canada
    • 9.2.4 MEXICO
      • 9.2.4.1 Automation in Mexico's automotive sector to drive demand for embodied AI solutions
  • 9.3 EUROPE
    • 9.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
    • 9.3.2 GERMANY
      • 9.3.2.1 Strategic R&D and government support accelerate Germany's embodied AI innovation
    • 9.3.3 UK
      • 9.3.3.1 Advancements in automation and human-machine collaboration to propel UK embodied AI market
    • 9.3.4 FRANCE
      • 9.3.4.1 Accelerated adoption of embodied AI across France's industrial and healthcare sectors to drive market growth
    • 9.3.5 ITALY
      • 9.3.5.1 Digital transformation in logistics and advanced robotics research accelerating embodied AI adoption in Italy
    • 9.3.6 SPAIN
      • 9.3.6.1 National AI strategies and industrial digitization fuel embodied AI adoption
    • 9.3.7 POLAND
      • 9.3.7.1 Government-backed AI factories and industrial robotics adoption accelerate Poland's embodied AI market
    • 9.3.8 NORDICS
      • 9.3.8.1 High robot density and AI-driven production advancing embodied AI adoption in Nordic smart factories
    • 9.3.9 REST OF EUROPE
  • 9.4 ASIA PACIFIC
    • 9.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
    • 9.4.2 CHINA
      • 9.4.2.1 Government-backed innovation and growing production fuels China's dominance in embodied AI
    • 9.4.3 SOUTH KOREA
      • 9.4.3.1 Strategic alliances and industrial partnerships to accelerate market growth
    • 9.4.4 JAPAN
      • 9.4.4.1 Innovations in automotive technology to drive market
    • 9.4.5 INDIA
      • 9.4.5.1 Smart manufacturing and digital transformation accelerating embodied AI adoption across industries
    • 9.4.6 AUSTRALIA
      • 9.4.6.1 Agriculture and mining sector adoption to drive market for embodied AI
    • 9.4.7 INDONESIA
      • 9.4.7.1 Digital sector expansion to propel embodied AI adoption in Indonesia
    • 9.4.8 MALAYSIA
      • 9.4.8.1 Malaysia's AI policy framework and innovation ecosystem to fuel market growth
    • 9.4.9 THAILAND
      • 9.4.9.1 AI-powered public safety initiatives and smart city infrastructure to fuel Thailand's embodied AI market expansion
    • 9.4.10 VIETNAM
      • 9.4.10.1 Strategic investments in AI infrastructure to accelerate embodied AI market growth in Vietnam
    • 9.4.11 REST OF ASIA PACIFIC
  • 9.5 REST OF THE WORLD
    • 9.5.1 MACROECONOMIC OUTLOOK FOR REST OF THE WORLD
    • 9.5.2 SOUTH AMERICA
      • 9.5.2.1 Rising digital transformation and funding to fuel market growth
    • 9.5.3 AFRICA
      • 9.5.3.1 South Africa
        • 9.5.3.1.1 Industrial strength and AI investment position South Africa at forefront of embodied AI in Africa
      • 9.5.3.2 Other African countries
    • 9.5.4 MIDDLE EAST
      • 9.5.4.1 GCC
        • 9.5.4.1.1 Bahrain
          • 9.5.4.1.1.1 Innovation and talent development to drive market growth
        • 9.5.4.1.2 Kuwait
          • 9.5.4.1.2.1 Expanding embodied AI capabilities via research and talent development through educational initiatives
        • 9.5.4.1.3 Oman
          • 9.5.4.1.3.1 Strategic policies and sectoral innovations to propel market growth
        • 9.5.4.1.4 Qatar
          • 9.5.4.1.4.1 Strategic AI investments to accelerate the market growth for embodied AI
        • 9.5.4.1.5 Saudi Arabia
          • 9.5.4.1.5.1 Increasing adoption of robotics and AI-driven automation to boost embodied AI market growth
        • 9.5.4.1.6 United Arab Emirates
          • 9.5.4.1.6.1 UAE's investment in intelligent automation set to boost embodied AI market
      • 9.5.4.2 Rest of Middle East

10 COMPETITIVE LANDSCAPE

  • 10.1 OVERVIEW
  • 10.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2022-2025
  • 10.3 REVENUE ANALYSIS, 2021-2024
  • 10.4 MARKET SHARE ANALYSIS, 2024
  • 10.5 COMPANY VALUATION AND FINANCIAL METRICS
  • 10.6 BRAND/PRODUCT COMPARISON
  • 10.7 COMPANY EVALUATION MATRIX FOR EMBODIED AI: KEY PLAYERS, 2024
    • 10.7.1 STARS
    • 10.7.2 EMERGING LEADERS
    • 10.7.3 PERVASIVE PLAYERS
    • 10.7.4 PARTICIPANTS
    • 10.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
      • 10.7.5.1 Company footprint
      • 10.7.5.2 Region footprint
      • 10.7.5.3 Product type footprint
      • 10.7.5.4 Level of embodiment footprint
      • 10.7.5.5 Vertical footprint
  • 10.8 COMPANY EVALUATION MATRIX FOR EMBODIED AI: STARTUPS/SMES, 2024
    • 10.8.1 PROGRESSIVE COMPANIES
    • 10.8.2 RESPONSIVE COMPANIES
    • 10.8.3 DYNAMIC COMPANIES
    • 10.8.4 STARTING BLOCKS
    • 10.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
      • 10.8.5.1 Detailed list of key startups/SMEs
      • 10.8.5.2 Competitive benchmarking of key startups/SMEs
  • 10.9 COMPETITIVE SCENARIO
    • 10.9.1 PRODUCT LAUNCHES & ENHANCEMENTS
    • 10.9.2 DEALS

11 COMPANY PROFILES

  • 11.1 KEY PLAYERS
    • 11.1.1 SOFTBANK ROBOTICS GROUP
      • 11.1.1.1 Business overview
      • 11.1.1.2 Products/Solutions/Services offered
      • 11.1.1.3 Recent developments
        • 11.1.1.3.1 Product launches
        • 11.1.1.3.2 Deals
      • 11.1.1.4 MnM view
        • 11.1.1.4.1 Key strengths
        • 11.1.1.4.2 Strategic choices
        • 11.1.1.4.3 Weaknesses and competitive threats
    • 11.1.2 ABB
      • 11.1.2.1 Business overview
      • 11.1.2.2 Products/Solutions/Services offered
      • 11.1.2.3 Recent developments
        • 11.1.2.3.1 Product launches
        • 11.1.2.3.2 Deals
      • 11.1.2.4 MnM view
        • 11.1.2.4.1 Key strengths
        • 11.1.2.4.2 Strategic choices
        • 11.1.2.4.3 Weaknesses and competitive threats
    • 11.1.3 TOYOTA MOTOR CORPORATION
      • 11.1.3.1 Business overview
      • 11.1.3.2 Products/Solutions/Services offered
      • 11.1.3.3 Recent developments
        • 11.1.3.3.1 Deals
      • 11.1.3.4 MnM view
        • 11.1.3.4.1 Key strengths
        • 11.1.3.4.2 Strategic choices
        • 11.1.3.4.3 Weaknesses and competitive threats
    • 11.1.4 KUKA AG
      • 11.1.4.1 Business overview
      • 11.1.4.2 Products/Solutions/Services offered
      • 11.1.4.3 Recent developments
        • 11.1.4.3.1 Deals
      • 11.1.4.4 MnM view
        • 11.1.4.4.1 Key strengths
        • 11.1.4.4.2 Strategic choices
        • 11.1.4.4.3 Weaknesses and competitive threats
    • 11.1.5 BOSTON DYNAMICS
      • 11.1.5.1 Business overview
      • 11.1.5.2 Products/Solutions/Services offered
      • 11.1.5.3 Recent developments
        • 11.1.5.3.1 Product launches
        • 11.1.5.3.2 Deals
      • 11.1.5.4 MnM view
        • 11.1.5.4.1 Key strengths
        • 11.1.5.4.2 Strategic choices
        • 11.1.5.4.3 Weaknesses and competitive threats
    • 11.1.6 ROBOTIS CO., LTD.
      • 11.1.6.1 Business overview
      • 11.1.6.2 Products/Solutions/Services offered
      • 11.1.6.3 Recent developments
        • 11.1.6.3.1 Product launches
        • 11.1.6.3.2 Deals
    • 11.1.7 YASKAWA ELECTRIC CORPORATION
      • 11.1.7.1 Business overview
      • 11.1.7.2 Products/Solutions/Services offered
      • 11.1.7.3 Recent developments
        • 11.1.7.3.1 Deals
    • 11.1.8 FANUC CORPORATION
      • 11.1.8.1 Business overview
      • 11.1.8.2 Products/Solutions/Services offered
      • 11.1.8.3 Recent developments
        • 11.1.8.3.1 Deals
    • 11.1.9 TESLA
      • 11.1.9.1 Business overview
      • 11.1.9.2 Products/Solutions/Services offered
    • 11.1.10 AGILITY ROBOTICS
      • 11.1.10.1 Business overview
      • 11.1.10.2 Products/Solutions/Services offered
      • 11.1.10.3 Recent developments
        • 11.1.10.3.1 Product enhancements
        • 11.1.10.3.2 Deals
  • 11.2 OTHER PLAYERS
    • 11.2.1 FIGURE 269 11.2.2 SANCTUARY COGNITIVE SYSTEMS CORPORATION
    • 11.2.3 HANSON ROBOTICS LTD.
    • 11.2.4 1X TECHNOLOGIES
    • 11.2.5 ENGINEAI
    • 11.2.6 SHANGHAI AGIBOT INNOVATION TECHNOLOGY CO., LTD.
    • 11.2.7 ANYBOTICS
    • 11.2.8 GHOSTROBOTICS
    • 11.2.9 UNIVERSAL ROBOTS A/S
    • 11.2.10 BEAR ROBOTICS, INC.
    • 11.2.11 APPTRONIK
    • 11.2.12 NURO, INC.
    • 11.2.13 UNITREE ROBOTICS
    • 11.2.14 WAYVE
    • 11.2.15 FOURIER

12 APPENDIX

  • 12.1 INSIGHTS FROM INDUSTRY EXPERTS
  • 12.2 DISCUSSION GUIDE
  • 12.3 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 12.4 CUSTOMIZATION OPTIONS
  • 12.5 RELATED REPORTS
  • 12.6 AUTHOR DETAILS
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