시장보고서
상품코드
2018284

피지컬 AI 시장 규모, 점유율, 동향 분석 보고서 : 구성요소별, 기술별, 용도별, 지역별, 부문별 예측(2026-2033년)

Physical AI Market Size, Share & Trends Analysis Report By Component (Hardware, Software, Services), By Technology (Computer Vision, Machine Learning & Deep Learning, NLP, Edge AI), By Application, By Region, And Segment Forecasts, 2026 - 2033

발행일: | 리서치사: 구분자 Grand View Research | 페이지 정보: 영문 150 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




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피지컬 AI 시장 요약

세계의 피지컬 AI 시장 규모는 2025년에 816억 4,000만 달러로 추정되며, 2033년까지 9,603억 8,000만 달러에 달할 것으로 예측되며, 2026년부터 2033년까지 CAGR 36.1%로 성장할 것으로 전망됩니다.

피지컬 AI에 대한 수요가 증가하는 배경에는 센싱 기술, 엣지 컴퓨팅, 머신러닝 알고리즘의 발전이 물리적 기계에 지능을 통합하는 것을 가속화하고 있기 때문입니다.

로봇, 자율주행차, 스마트 디바이스는 점점 더 실제 환경에서 지각, 추론, 의사결정을 하고 있습니다. 센서의 정확도와 실시간 처리의 지속적인 개선으로 시스템이 역동적인 주변 환경과 안전하게 상호 작용할 수 있게 되어 산업 및 상업 환경에서 보다 폭넓게 적용될 수 있게 되었습니다. 창고시설, 생산기지, 서비스 환경에서는 최소한의 인위적 개입으로 작동 가능한 지능형 로봇과 이동 플랫폼이 도입되고 있습니다. 이러한 시스템은 지속적인 운영을 지원하고, 작업의 일관성을 향상시키며, 반복적이거나 위험한 작업에서 노동력 부족 문제를 해결합니다.

이 시장을 이끄는 또 다른 요인으로는 제조, 물류, 의료, 운송 분야에서의 자동화 확산이 진행되고 있으며, 디지털 환경을 넘어 작동 가능한 시스템에 대한 수요가 증가하고 있습니다. 조직은 AI 기능과 기계적 기능을 결합한 물리적 시스템을 도입 및 활용하여 검사, 자재 취급, 이동, 모니터링과 같은 작업을 보다 높은 정확도로 수행하고 있습니다. 소프트웨어 중심의 AI에서 구현된 인텔리전스로의 전환은 생산성 향상, 운영 오류 감소, 작업장 안전 향상에 기여하고 있습니다.

또한, 로봇 플랫폼, 자율 이동 솔루션, 지능형 인프라에 대한 투자 확대는 시장 확대를 더욱 촉진하고 있습니다. 정부와 기업은 노동력 부족과 업무의 복잡성을 해결하기 위해 첨단 로봇 연구, 스마트 팩토리, 자동화된 공급망에 자원을 할당하고 있습니다. AI와 물리적 장비의 통합은 적응형 운영, 실제 데이터로부터의 지속적인 학습, 기계와 인간 작업자 간의 효율적인 협업을 가능하게함으로써 시장과 조직에서 피지컬 AI의 도입을 더욱 가속화하고 있습니다.

자주 묻는 질문

  • 피지컬 AI 시장 규모는 어떻게 예측되나요?
  • 피지컬 AI에 대한 수요가 증가하는 이유는 무엇인가요?
  • 피지컬 AI가 적용되는 분야는 어떤 것들이 있나요?
  • 피지컬 AI의 도입이 산업에 미치는 영향은 무엇인가요?
  • 피지컬 AI 시장의 성장 요인은 무엇인가요?
  • 피지컬 AI의 발전을 위한 투자 분야는 어디인가요?

목차

제1장 조사 방법과 범위

제2장 주요 요약

제3장 피지컬 AI 시장 : 변수, 동향, 범위

제4장 피지컬 AI 시장 : 구성요소별 추정·동향 분석

제5장 피지컬 AI 시장 : 기술별 추정·동향 분석

제6장 피지컬 AI 시장 : 용도별 추정·동향 분석

제7장 피지컬 AI 시장 : 지역별 추정·동향 분석

제8장 경쟁 구도

KSM 26.05.13

Physical AI Market Summary

The global physical AI market size was estimated at USD 81.64 billion in 2025 and is projected to reach USD 960.38 billion by 2033, growing at a CAGR of 36.1% from 2026 to 2033. The increasing demand for physical AI is due to the advancements in sensing technologies, edge computing, and machine learning algorithms, which are accelerating the integration of intelligence into physical machines.

Robots, autonomous vehicles, and smart devices increasingly perform perception, reasoning, and decision-making within real-world environments. Continuous improvements in sensor accuracy and real-time processing enable systems to interact safely with dynamic surroundings, supporting broader deployment across industrial and commercial settings. Warehousing facilities, production units, and service environments incorporate intelligent robots and mobile platforms capable of operating with minimal human intervention. These systems support continuous operations, improve task consistency, and address workforce constraints in repetitive or hazardous activities.

The other factors that are driving this market is the growing adoption of automation across manufacturing, logistics, healthcare, and transportation is strengthening demand for systems capable of operating beyond digital environments. Organizations deploy and use physical systems that combine AI capabilities with mechanical functions to perform inspection, material handling, mobility, and monitoring tasks with greater precision. This transition from software-centric AI to embodied intelligence supports higher productivity, reduced operational errors, and improved workplace safety.

Furthermore, the rising investment in robotics platforms, autonomous mobility solutions, and intelligent infrastructure is further supporting market expansion. Governments and enterprises allocate resources toward advanced robotics research, smart factories, and automated supply chains to address labor shortages and operational complexity. Integration of AI with physical equipment enables adaptive operations, continuous learning from real-world data, and efficient coordination between machines and human operators which further accelerates the market and physical AI adoption in the organizations.

Global Physical AI Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global physical AI market report based on component, technology, application, and region.

  • Component Outlook (Revenue, USD Million, 2021 - 2033)
  • Software
  • Hardware
  • Services
  • Technology Outlook (Revenue, USD Million, 2021 - 2033)
  • Computer Vision
  • Machine Learning & Deep Learning
  • NLP
  • Edge AI
  • Others
  • Application Outlook (Revenue, USD Million, 2021 - 2033)
  • Agriculture
  • Logistics
  • Healthcare
  • Manufacturing
  • Retail & Hospitality
  • Security & Defense
  • Transportation
  • Others
  • Regional Outlook (Revenue, USD Million, 2021 - 2033)
  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
  • Latin America
    • Brazil
  • Middle East and Africa (MEA)
    • KSA
    • UAE
    • South Africa

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Market Definition
  • 1.3. Research Methodology
    • 1.3.1. Information Procurement
    • 1.3.2. Information or Data Analysis
    • 1.3.3. Market Formulation & Data Visualization
    • 1.3.4. Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
  • 2.3. Competitive Insights

Chapter 3. Physical AI Market Variables, Trends, & Scope

  • 3.1. Market Introduction/Lineage Outlook
  • 3.2. Market Dynamics
    • 3.2.1. Market Driver Analysis
    • 3.2.2. Market Restraint Analysis
    • 3.2.3. Industry Challenge
  • 3.3. Physical AI Market Analysis Tools
    • 3.3.1. Porter's Analysis
    • 3.3.2. PESTEL Analysis

Chapter 4. Physical AI Market: Component Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. Physical AI market: Component Movement Analysis, 2025 & 2033 (USD Million)
  • 4.3. Software
    • 4.3.1. Software Physical AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 4.4. Hardware
    • 4.4.1. Hardware Physical AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 4.5. Services
    • 4.5.1. Services Physical AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 5. Physical AI Market: Technology Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. Physical AI market: Technology Movement Analysis, 2025 & 2033 (USD Million)
  • 5.3. Computer Vision
    • 5.3.1. Computer Vision Physical AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 5.4. Machine Learning & Deep Learning
    • 5.4.1. Machine Learning & Deep Learning Physical AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 5.5. NLP
    • 5.5.1. NLP Physical AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 5.6. Edge AI
    • 5.6.1. Edge AI Physical AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 5.7. Others
    • 5.7.1. Others Physical AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 6. Physical AI Market: Application Estimates & Trend Analysis

  • 6.1. Segment Dashboard
  • 6.2. Physical AI Market: Application Movement Analysis, 2025 & 2033 (USD Million)
  • 6.3. Agriculture
    • 6.3.1. Agriculture Physical AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 6.4. Logistics
    • 6.4.1. Logistics Physical AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 6.5. Healthcare
    • 6.5.1. Healthcare Physical AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 6.6. Manufacturing
    • 6.6.1. Manufacturing Physical AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 6.7. Retail & Hospitality
    • 6.7.1. Retail & Hospitality Physical AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 6.8. Security & Defense
    • 6.8.1. Security & Defense Physical AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 6.9. Transportation
    • 6.9.1. Transportation Physical AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 6.10. Others
    • 6.10.1. Others Physical AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 7. Physical AI: Regional Estimates & Trend Analysis

  • 7.1. Physical AI Share, By Region, 2025 & 2033 (USD Million)
  • 7.2. North America
    • 7.2.1. North America Physical AI Estimates and Forecasts, By Component, 2025 - 2033 (USD Million)
    • 7.2.2. North America Physical AI Estimates and Forecasts, By Technology, 2025 - 2033 (USD Million)
    • 7.2.3. North America Physical AI Estimates and Forecasts, By Application, 2025 - 2033 (USD Million)
    • 7.2.4. U.S.
      • 7.2.4.1. U.S. Physical AI Estimates and Forecasts, By Component, 2025 - 2033 (USD Million)
      • 7.2.4.2. U.S. Physical AI Estimates and Forecasts, By Technology, 2025 - 2033 (USD Million)
      • 7.2.4.3. U.S. Physical AI Estimates and Forecasts, By Application, 2025 - 2033 (USD Million)
    • 7.2.5. Canada
      • 7.2.5.1. Canada Physical AI Estimates and Forecasts, By Component, 2025 - 2033 (USD Million)
      • 7.2.5.2. Canada Physical AI Estimates and Forecasts, By Technology, 2025 - 2033 (USD Million)
      • 7.2.5.3. Canada Physical AI Estimates and Forecasts, By Application, 2025 - 2033 (USD Million)
    • 7.2.6. Mexico
      • 7.2.6.1. Mexico Physical AI Estimates and Forecasts, By Component, 2025 - 2033 (USD Million)
      • 7.2.6.2. Mexico Physical AI Estimates and Forecasts, By Technology, 2025 - 2033 (USD Million)
      • 7.2.6.3. Mexico Physical AI Estimates and Forecasts, By Application, 2025 - 2033 (USD Million)
  • 7.3. Europe
    • 7.3.1. Europe Physical AI Estimates and Forecasts, By Component, 2025 - 2033 (USD Million)
    • 7.3.2. Europe Physical AI Estimates and Forecasts, By Technology, 2025 - 2033 (USD Million)
    • 7.3.3. Europe Physical AI Estimates and Forecasts, By Application, 2025 - 2033 (USD Million)
    • 7.3.4. UK
      • 7.3.4.1. UK Physical AI Estimates and Forecasts, By Component, 2025 - 2033 (USD Million)
      • 7.3.4.2. UK Physical AI Estimates and Forecasts, By Technology, 2025 - 2033 (USD Million)
      • 7.3.4.3. UK Physical AI Estimates and Forecasts, By Application, 2025 - 2033 (USD Million)
    • 7.3.5. Germany
      • 7.3.5.1. Germany Physical AI Estimates and Forecasts, By Component, 2025 - 2033 (USD Million)
      • 7.3.5.2. Germany Physical AI Estimates and Forecasts, By Technology, 2025 - 2033 (USD Million)
      • 7.3.5.3. Germany Physical AI Estimates and Forecasts, By Application, 2025 - 2033 (USD Million)
    • 7.3.6. France
      • 7.3.6.1. France Physical AI Estimates and Forecasts, By Component, 2025 - 2033 (USD Million)
      • 7.3.6.2. France Physical AI Estimates and Forecasts, By Technology, 2025 - 2033 (USD Million)
      • 7.3.6.3. France Physical AI Estimates and Forecasts, By Application, 2025 - 2033 (USD Million)
  • 7.4. Asia Pacific
    • 7.4.1. Asia Pacific Physical AI Estimates and Forecasts, By Component, 2025 - 2033 (USD Million)
    • 7.4.2. Asia Pacific Physical AI Estimates and Forecasts, By Technology, 2025 - 2033 (USD Million)
    • 7.4.3. Asia Pacific Physical AI Estimates and Forecasts, By Application, 2025 - 2033 (USD Million)
    • 7.4.4. China
      • 7.4.4.1. China Physical AI Estimates and Forecasts, By Component, 2025 - 2033 (USD Million)
      • 7.4.4.2. China Physical AI Estimates and Forecasts, By Technology, 2025 - 2033 (USD Million)
      • 7.4.4.3. China Physical AI Estimates and Forecasts, By Application, 2025 - 2033 (USD Million)
    • 7.4.5. Japan
      • 7.4.5.1. Japan Physical AI Estimates and Forecasts, By Component, 2025 - 2033 (USD Million)
      • 7.4.5.2. Japan Physical AI Estimates and Forecasts, By Technology, 2025 - 2033 (USD Million)
      • 7.4.5.3. Japan Physical AI Estimates and Forecasts, By Application, 2025 - 2033 (USD Million)
    • 7.4.6. India
      • 7.4.6.1. India Physical AI Estimates and Forecasts, By Component, 2025 - 2033 (USD Million)
      • 7.4.6.2. India Physical AI Estimates and Forecasts, By Technology, 2025 - 2033 (USD Million)
      • 7.4.6.3. India Physical AI Estimates and Forecasts, By Application, 2025 - 2033 (USD Million)
    • 7.4.7. South Korea
      • 7.4.7.1. South Korea Physical AI Estimates and Forecasts, By Component, 2025 - 2033 (USD Million)
      • 7.4.7.2. South Korea Physical AI Estimates and Forecasts, By Technology, 2025 - 2033 (USD Million)
      • 7.4.7.3. South Korea Physical AI Estimates and Forecasts, By Application, 2025 - 2033 (USD Million)
    • 7.4.8. Australia
      • 7.4.8.1. Australia Physical AI Estimates and Forecasts, By Component, 2025 - 2033 (USD Million)
      • 7.4.8.2. Australia Physical AI Estimates and Forecasts, By Technology, 2025 - 2033 (USD Million)
      • 7.4.8.3. Australia Physical AI Estimates and Forecasts, By Application, 2025 - 2033 (USD Million)
  • 7.5. Latin America
    • 7.5.1. Latin America Physical AI Estimates and Forecasts, By Component, 2025 - 2033 (USD Million)
    • 7.5.2. Latin America Physical AI Estimates and Forecasts, By Technology, 2025 - 2033 (USD Million)
    • 7.5.3. Latin America Physical AI Estimates and Forecasts, By Application, 2025 - 2033 (USD Million)
    • 7.5.4. Brazil
      • 7.5.4.1. Brazil Physical AI Estimates and Forecasts, By Component, 2025 - 2033 (USD Million)
      • 7.5.4.2. Brazil Physical AI Estimates and Forecasts, By Technology, 2025 - 2033 (USD Million)
      • 7.5.4.3. Brazil Physical AI Estimates and Forecasts, By Application, 2025 - 2033 (USD Million)
  • 7.6. Middle East and Africa
    • 7.6.1. Middle East and Africa Physical AI Estimates and Forecasts, By Component, 2025 - 2033 (USD Million)
    • 7.6.2. Middle East and Africa Physical AI Estimates and Forecasts, By Technology, 2025 - 2033 (USD Million)
    • 7.6.3. Middle East and Africa Physical AI Estimates and Forecasts, By Application, 2025 - 2033 (USD Million)
    • 7.6.4. UAE
      • 7.6.4.1. UAE Physical AI Estimates and Forecasts, By Component, 2025 - 2033 (USD Million)
      • 7.6.4.2. UAE Physical AI Estimates and Forecasts, By Technology, 2025 - 2033 (USD Million)
      • 7.6.4.3. UAE Physical AI Estimates and Forecasts, By Application, 2025 - 2033 (USD Million)
    • 7.6.5. KSA
      • 7.6.5.1. KSA Physical AI Estimates and Forecasts, By Component, 2025 - 2033 (USD Million)
      • 7.6.5.2. KSA Physical AI Estimates and Forecasts, By Technology, 2025 - 2033 (USD Million)
      • 7.6.5.3. KSA Physical AI Estimates and Forecasts, By Application, 2025 - 2033 (USD Million)
    • 7.6.6. South Africa
      • 7.6.6.1. South Africa Physical AI Estimates and Forecasts, By Component, 2025 - 2033 (USD Million)
      • 7.6.6.2. South Africa Physical AI Estimates and Forecasts, By Technology, 2025 - 2033 (USD Million)
      • 7.6.6.3. South Africa Physical AI Estimates and Forecasts, By Application, 2025 - 2033 (USD Million)

Chapter 8. Competitive Landscape

  • 8.1. Company Categorization
  • 8.2. Company Market Positioning
  • 8.3. Participant's Overview
  • 8.4. Financial Performance
  • 8.5. Deployment Benchmarking
  • 8.6. Company Heat Map Analysis
  • 8.7. Strategy Mapping
  • 8.8. Company Profiles/Listing
    • 8.8.1. ABB
      • 8.8.1.1. Participant's Overview
      • 8.8.1.2. Financial Performance
      • 8.8.1.3. Deployment Benchmarking
      • 8.8.1.4. Recent Developments
    • 8.8.2. Agility Robotics
      • 8.8.2.1. Participant's Overview
      • 8.8.2.2. Financial Performance
      • 8.8.2.3. Deployment Benchmarking
      • 8.8.2.4. Recent Developments
    • 8.8.3. Amazon
      • 8.8.3.1. Participant's Overview
      • 8.8.3.2. Financial Performance
      • 8.8.3.3. Deployment Benchmarking
      • 8.8.3.4. Recent Developments
    • 8.8.4. Boston Dynamics
      • 8.8.4.1. Participant's Overview
      • 8.8.4.2. Financial Performance
      • 8.8.4.3. Deployment Benchmarking
      • 8.8.4.4. Recent Developments
    • 8.8.5. Figure AI
      • 8.8.5.1. Participant's Overview
      • 8.8.5.2. Financial Performance
      • 8.8.5.3. Deployment Benchmarking
      • 8.8.5.4. Recent Developments
    • 8.8.6. Hyundai Motor Group
      • 8.8.6.1. Participant's Overview
      • 8.8.6.2. Financial Performance
      • 8.8.6.3. Deployment Benchmarking
      • 8.8.6.4. Recent Developments
    • 8.8.7. NVIDIA Corporation
      • 8.8.7.1. Participant's Overview
      • 8.8.7.2. Financial Performance
      • 8.8.7.3. Deployment Benchmarking
      • 8.8.7.4. Recent Developments
    • 8.8.8. SoftBank Robotics
      • 8.8.8.1. Participant's Overview
      • 8.8.8.2. Financial Performance
      • 8.8.8.3. Deployment Benchmarking
      • 8.8.8.4. Recent Developments
    • 8.8.9. Tesla
      • 8.8.9.1. Participant's Overview
      • 8.8.9.2. Financial Performance
      • 8.8.9.3. Deployment Benchmarking
      • 8.8.9.4. Recent Developments
    • 8.8.10. Yaskawa Electric
      • 8.8.10.1. Participant's Overview
      • 8.8.10.2. Financial Performance
      • 8.8.10.3. Deployment Benchmarking
      • 8.8.10.4. Recent Developments
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