세계의 제조업 AI 시장 규모, 점유율, 예측 및 동향 분석 : 구성요소, 기술, 용도, 최종 사용 산업 및 지역별 예측(-2031년)

제조업에서의 AI는 제조 공정의 다양한 측면을 개선하기 위해 AI 기술 및 방법을 적용하는 것을 말합니다. 이러한 응용은 생산 일정 최적화, 예측 유지보수, 품질 관리 등 다양한 분야에 적용될 수 있습니다. 인더스트리 4.0의 등장으로 제조업은 제조 운영 및 공정에 첨단 기술을 도입하는 데 있어 큰 진전을 이루었습니다. 제조업은 AI를 활용한 지능형 솔루션 및 서비스를 도입하여 조직의 자동화 및 업무 효율성을 높이고 있습니다. 따라서 분산형 의사결정, 물류 및 공급망 최적화, 생산 성과 향상, 프로세스 효율성 향상, 운영 비용 최소화, 지능형 제조 환경 구현을 위한 지능형 제조 공정에 대한 제조업계의 AI 도입에 대한 수요가 크게 증가하고 있습니다. 수요가 크게 증가하고 있습니다. 제조업 AI 시장은 2024년부터 2031년까지 연평균 32.6%의 성장률로 2031년까지 845억 달러에 달할 것으로 예상됩니다.

제조업 AI 시장 성장은 인더스트리 4.0과 스마트 제조의 도입 증가, 예지보전 및 품질 관리의 필요성 증가, 자동화 및 운영 효율화에 대한 수요 증가로 인해 이루어지고 있습니다. 그러나 숙련된 인력의 부족이 이 시장의 성장을 저해하고 있습니다. 또한, 신흥국의 제조업 증가와 공급망 관리 및 물류 분야의 AI 도입 확대는 이 시장의 이해관계자들에게 성장 기회를 제공할 것으로 예상됩니다. 그러나 데이터 보안 및 프라이버시 우려는 제조업 AI 시장 성장에 영향을 미치는 주요 과제입니다. 또한, 이 시장의 두드러진 추세는 제조 산업에서 컴퓨터 비전 및 로봇 공학의 채택이 증가하고 있다는 점입니다.

제조업 AI 시장은 구성요소(하드웨어(프로세서, 네트워킹, 메모리), 소프트웨어(AI 플랫폼, AI 솔루션), 서비스(배포 및 통합, 지원 및 유지보수)), 기술(머신러닝(ML), 자연어 처리(NLP), 상황 인식 컴퓨팅, 컴퓨터 비전, 음성인식, AI, 로봇공학, 사이버 보안, 로봇공학, 공장 자동화, 예지보전 및 기계 테스트), 용도(현장 서비스, 품질 관리, 사이버 보안, 로봇공학, 공장 자동화)(NLP), 상황 인식 컴퓨팅, 컴퓨터 비전, 음성 인식), 용도(현장 서비스, 품질 관리, 사이버 보안, 로봇 및 공장 자동화, 예지보전 및 기계 테스트, 자재 취급, 생산 계획, 안전 계획, 에너지 관리, 공급망 최적화), 기술(머신러닝(ML), 자연어 처리(NLP), 컴퓨터 비전, 음성 인식), 용도(현장 서비스, 품질 관리, 사이버 보안, 로봇 및 공장 자동화, 예지보전 및 기계 테스트, 생산 계획, 안전 계획, 에너지 관리, 공급망 최적화), 최종 사용 산업(반도체 및 전자, 에너지 및 전력, 제약, 의료기기, 자동차, 중금속 및 기계 제조, 고속 이동 소비재, 항공우주 및 방위산업, 기타 산업) 등 다양한 산업분야에 적용됩니다. 또한, 경쟁사 평가와 지역 및 국가별 시장 분석도 수행합니다.

목차

제1장 서론

제2장 조사 방법

제3장 주요 요약

• 개요
• 시장 분석 : 컴포넌트별
• 시장 분석 : 기술별
• 시장 분석 : 용도별
• 시장 분석 : 최종 이용 산업별
• 시장 분석 : 지역별
• 경쟁 분석

제4장 시장 인사이트

• 시장 성장에 영향을 미치는 요인
• 개요
  • 시장 역학의 영향 분석
  • 동향
  • Porter의 Five Forces 분석

  제5장 제조업 AI 시장 평가 : 컴포넌트별

  • 개요
  • 하드웨어
    • 프로세서
    • 네트워크
    • 메모리
  • 소프트웨어
    • AI플랫폼
    • AI솔루션
  • 서비스
    • 도입 및 설치 서비스
    • 지원 및 유지관리 서비스

  제6장 제조업 AI 시장 평가 : 기술별

  • 개요
  • 머신러닝
  • 자연언어처리
  • 컴퓨터 비전
  • 기계 추론
  • 음성인식
  • 상황인식 컴퓨팅

  제7장 제조업 AI 시장 평가 : 용도별

  • 개요
  • 예지보전 및 기계시험
  • 품질관리
  • 로봇 공학 및 공장 자동화
  • 공급망 최적화
  • 자재관리
  • 생산계획
  • 안전 계획
  • 필드 서비스
  • 사이버 보안
  • 에너지 관리

  제8장 제조업 AI 시장 평가 : 최종 이용 산업별

  • 개요
  • 자동차
  • 반도체 및 일렉트로닉스
  • 중금속 및 기계 제조
  • 에너지 및 전력
  • 항공우주 및 방위
  • 의료기기
  • 의약품
  • 소비재
  • 기타

  제9장 제조업 AI 시장 : 지역별

  • 개요
  • 아시아태평양
    • 중국
    • 일본
    • 한국
    • 인도
    • 호주 및 뉴질랜드
    • 인도네시아
    • 태국
    • 대만
    • 베트남
    • 기타 아시아태평양
  • 유럽
    • 독일
    • 이탈리아
    • 영국
    • 프랑스
    • 스페인
    • 네덜란드
    • 러시아
    • 터키
    • 아일랜드
    • 기타 유럽
  • 북미
    • 미국
    • 캐나다
  • 라틴아메리카
    • 멕시코
    • 브라질
    • 기타 라틴아메리카
  • 중동 및 아프리카
    • 아랍에미리트(UAE)
    • 이스라엘
    • 기타 중동 및 아프리카

  제10장 경쟁 분석

  • 개요
  • 주요 성장 전략
  • 경쟁 벤치마킹
  • 경쟁 대시보드
    • 업계 리더
    • 시장 차별화 요인
    • 선행 기업
    • 신규 기업
  • 주요 시장 진출기업별 시장 순위

  제11장 기업 개요

  • International Business Machines Corporation
  • Google LLC(A Subsidiary of Alphabet Inc.)
  • Intel Corporation
  • NVIDIA Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Cisco Systems, Inc.
  • Rockwell Automation, Inc.
  • Amazon Web Services, Inc.(Amazon.Com, Inc.자회사)
  • Siemens AG
  • General Electric Company
  • SAP SE
  • Robert Bosch GmbH
  • Advanced Micro Devices, Inc.
  • Sight Machine Inc.

  제12장 부록

  LSH 24.06.05

  The research report titled, 'AI in Manufacturing Market by Component, Technology (ML, NLP, Computer Vision), Application (Predictive Maintenance & Machinery Inspection, Cybersecurity, Supply Chain Optimization), End-use Industry, and Geography -Global Forecast to 2031.' provides an in-depth analysis of the AI in manufacturing market in five major geographies and emphasizes on the current market trends, size, and share, recent developments, and forecasts till 2031. The AI in manufacturing market is projected to reach $84.5 billion by 2031, at a CAGR of 32.6% from 2024 to 2031.

  Artificial Intelligence (AI) in manufacturing refers to the application of AI technologies and techniques to improve various aspects of manufacturing processes. These applications can range from optimizing production schedules to predictive maintenance and quality control. With the advent of Industry 4.0, the manufacturing industry has made significant progress in regard to the adoption of advanced technologies for manufacturing operations and processes. Manufacturing industries are implementing AI-powered intelligent solutions & services to enhance the automation and operational efficiency of organizations. Thus, there is considerable growth in the demand for the adoption of AI in the manufacturing industry for intelligent manufacturing processes that offer decentralized decision-making, optimize logistics & supply chains, enhance production outcomes, advance process effectiveness, and minimize operational costs, enabling an intelligent manufacturing environment.

  The growth of the AI in manufacturing market is driven by the rising adoption of Industry 4.0 and smart manufacturing, the growing need for predictive maintenance and quality control, and the increasing demand for automation and operational efficiency. However, a shortage of skilled workforce restrains the growth of this market. Furthermore, the rising number of manufacturing operations in emerging economies and the increasing adoption of AI in supply chain management and logistics are expected to generate growth opportunities for the stakeholders in this market. However, data security and privacy concerns are a major challenge impacting the growth of the AI in manufacturing market. Additionally, the prominent trend in this market is the rising adoption of computer vision & robotics in manufacturing.

  The AI in manufacturing market is segmented based on component (hardware [processors, networking, memory], software [AI platforms, AI solutions], and services [deployment & integration, support & maintenance), technology (machine learning (ML), natural language processing (NLP), context-aware computing, computer vision, speech and voice recognition), application (field services, quality management, cybersecurity, robotics & factory automation, predictive maintenance & machinery inspection, material handling, production planning, safety planning, energy management, supply chain optimization), end-use industry (semiconductor & electronics, energy & power, pharmaceuticals, medical devices, automotive, heavy metals & machine manufacturing, fast-moving consumer goods, aerospace and defense, other industries). The study also evaluates industry competitors and analyses the regional and country-level markets.

  Based on component, the AI in manufacturing market is segmented into hardware, software, and services segment. The services segment is projected to record the highest CAGR during the forecast period. The growing adoption of smart manufacturing services, growing AI expertise, and growing skilled labor shortage are the major factors promoting the growth of this segment.

  Based on technology, the AI in manufacturing market is segmented into machine learning (ML), natural language processing (NLP), context-aware computing, computer vision, speech and voice recognition, and machine reasoning. The natural language processing segment is projected to register the highest CAGR during the forecast period. The growth of this segment is attributed to the increasing demand for NLP technology for analyzing machinery data to predict and prevent failures, automate inspection report analysis, ensure adherence to safety protocols through real-time analysis, enable personalization based on customer feedback analysis, and optimize manufacturing processes by evaluating production data.

  Based on application, the AI in manufacturing market is segmented into field services, quality management, cybersecurity, robotics & factory automation, predictive maintenance & machinery inspection, material handling, production planning, safety planning, energy management, and supply chain optimization. The predictive maintenance & machinery inspection segment is projected to register the highest CAGR during the forecast period. The growth of this segment is attributed to the increasing demand for self-monitoring, the increasing need to reduce costs related to operating heavy equipment and maintenance costs and downtime, and the increasing demand for real-time plant monitoring in manufacturing industries.

  Based on end-use industry, the AI in manufacturing market is segmented into semiconductor & electronics, energy & power, pharmaceuticals, medical devices, automotive, heavy metals & machine manufacturing, fast-moving consumer goods, aerospace and defense, and other end-use industries. The medical devices segment is expected to register the highest CAGR during the forecast period. The growth of this segment is attributed to the increasing demand for advanced healthcare technologies, regulatory compliance requirements, and the need for improved efficiency and quality in medical device manufacturing processes.

  Based on geography, the AI in manufacturing market is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. The Asia Pacific is expected to register the highest CAGR during the forecast period. The growth of this segment is attributed to the rising demand for automation, the increasing adoption of industrial robots, the advent of Industry 4.0, increasing investments by technology leaders, the growing adoption of cloud-based manufacturing solutions, and the presence of prominent market players in the region.

  The key players profiled in the AI in manufacturing market study include Google LLC (A Subsidiary of Alphabet Inc.) (U.S.), International Business Machines Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), NVIDIA Corporation (U.S.), Oracle Corporation (U.S.), Cisco Systems, Inc. (U.S.), Rockwell Automation, Inc. (U.S.), Amazon Web Services, Inc. (A Subsidiary of Amazon.com, Inc.) (U.S.), Siemens AG (Germany), General Electric Company (U.S.), SAP SE (Germany), Advanced Micro Devices, Inc. (U.S.), Robert Bosch GmbH (Germany), and Sight Machine Inc. (U.S.).

  Key Questions Answered in the Report:

  • Which are the high-growth market segments in terms of component, technology, application, end-use industry, and geography?
  • What is the historical market size for AI in manufacturing market across the globe?
  • What are the market forecasts and estimates for the period 2024-2031?
  • What are the major drivers, restraints, opportunities, and challenges in the AI in manufacturing market?
  • Who are the major players in the market, and what are their market shares?
  • What is the competitive landscape like for AI in manufacturing market?
  • What are the recent developments in the AI in manufacturing market?
  • What are the different strategies adopted by the major players in the market?
  • What are the key geographic trends, and which are the high-growth countries?
  • Who are the local emerging players in the AI in manufacturing market, and how do they compete with other players?

  Scope of the report:

  AI in Manufacturing Market Assessment -by Component

  • Hardware
    • Processors
    • Networking
    • Memory
  • Software
    • AI Platforms
    • AI Solutions
  • Services
    • Deployment & Integration
    • Support & Maintenance

  AI in Manufacturing Market-by Technology

  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Context-Aware Computing
  • Computer Vision
  • Speech and Voice Recognition

  AI in Manufacturing Market-by Application

  • Field Services
  • Quality Management
  • Cybersecurity
  • Robotics & Factory Automation
  • Predictive Maintenance & Machinery Inspection
  • Material Handling
  • Production Planning
  • Safety Planning
  • Energy management
  • Supply Chain Optimization

  AI in Manufacturing Market-by End-use Industry

  • Semiconductor & Electronics
  • Energy & Power
  • Pharmaceuticals
  • Medical Devices
  • Automotive
  • Heavy Metals & Machine Manufacturing
  • Fast-moving Consumer Goods
  • Aerospace and Defense
  • Other Industries

  AI in Manufacturing Market-by Geography

  • North America
    • U.S.
    • Canada
  • Europe
    • Germany
    • U.K.
    • France
    • Italy
    • Spain
    • Netherlands
    • Russia
    • Ireland
    • Turkey
    • Rest of Europe
  • Asia-Pacific
    • Japan
    • China
    • India
    • South Korea
    • Australia & New Zealand
    • Thailand
    • Indonesia
    • Taiwan
    • Vietnam
    • Rest of Asia-Pacific
  • Latin America
    • Mexico
    • Brazil
    • Rest of Latin America
  • Middle East & Africa
    • UAE
    • Israel
    • Rest of Middle East & Africa

  TABLE OF CONTENTS

  1. Introduction

  • 1.1. Market Definition & Scope
  • 1.2. Currency & Limitations
    • 1.2.1. Currency
    • 1.2.2. Limitations

  2. Research Methodology

  • 2.1. Research Approach
  • 2.2. Data Collection & Validation Process
    • 2.2.1. Secondary Research
    • 2.2.2. Primary Research/Interviews with Key Opinion Leaders of The Industry
  • 2.3. Market Sizing and Forecasting
    • 2.3.1. Market Size Estimation Approach
    • 2.3.2. Growth Forecast Approach
  • 2.4. Assumptions for the Study

  3. Executive Summary

  • 3.1. Overview
  • 3.2. Market Analysis, by Component
  • 3.3. Market Analysis, by Technology
  • 3.4. Market Analysis, by Application
  • 3.5. Market Analysis, by End-Use Industry
  • 3.6. Market Analysis, by Geography
  • 3.7. Competitive Analysis

  4. Market Insights

  • 4.1. Overview
  • 4.2. Factors Affecting Market Growth
    • 4.2.1. Impact Analysis of Market Dynamics
    • 4.2.2. Rising Adoption of Industry 4.0 Technologies & Smart Manufacturing Driving Market Growth
    • 4.2.3. Growing Need for Predictive Maintenance & Quality Control Driving the Demand for AI Solutions in the Manufacturing Sector
    • 4.2.4. Increasing Demand for Automation & Operational Efficiency Among Manufacturers Supporting Market Growth
    • 4.2.5. Shortage of Skilled Professionals Limiting the Adoption of AI in the Manufacturing Sector
    • 4.2.6. Growing Scale of Manufacturing Operations in Emerging Economies Expected to Generate Growth Opportunities for Market Stakeholders
    • 4.2.7. Increasing Adoption of AI in Supply Chain Management & Logistics Expected to Accelerate Market Expansion
    • 4.2.8. Data Security & Privacy Concerns Expected to Remain a Major Challenge in The AI in Manufacturing Market
  • 4.3. Trends
    • 4.3.1. Increasing Adoption of Computer Vision & Robotics in Manufacturing
  • 4.4. Porter's Five Forces Analysis
    • 4.4.1. Bargaining Power of Suppliers
    • 4.4.2. Bargaining Power of Buyers
    • 4.4.3. Threat of Substitutes
    • 4.4.4. Threat of New Entrants
    • 4.4.5. Degree of Competition

  5. AI in Manufacturing Market Assessment-by Component

  • 5.1. Overview
  • 5.2. Hardware
    • 5.2.1. Processors
    • 5.2.2. Network
    • 5.2.3. Memory
  • 5.3. Software
    • 5.3.1. Ai Platforms
    • 5.3.2. Ai Solutions
  • 5.4. Services
    • 5.4.1. Deployment & Integration Services
    • 5.4.2. Support & Maintenance Services

  6. AI in Manufacturing Market Assessment-by Technology

  • 6.1. Overview
  • 6.2. Machine Learning
  • 6.3. Natural Language Processing
  • 6.4. Computer Vision
  • 6.5. Machine Reasoning
  • 6.6. Speech and Voice Recognition
  • 6.7. Context-Aware Computing

  7. AI in Manufacturing Market Assessment-by Application

  • 7.1. Overview
  • 7.2. Predictive Maintenance & Machinery Inspection
  • 7.3. Quality Management
  • 7.4. Robotics & Factory Automation
  • 7.5. Supply Chain Optimization
  • 7.6. Material Handling
  • 7.7. Production Planning
  • 7.8. Safety Planning
  • 7.9. Field Services
  • 7.10. Cybersecurity
  • 7.11. Energy Management

  8. AI in Manufacturing Market Assessment-by End-Use Industry

  • 8.1. Overview
  • 8.2. Automotive
  • 8.3. Semiconductor & Electronics
  • 8.4. Heavy Metals & Machine Manufacturing
  • 8.5. Energy & Power
  • 8.6. Aerospace and Defense
  • 8.7. Medical Devices
  • 8.8. Pharmaceuticals
  • 8.9. Fast-Moving Consumer Goods
  • 8.10. Other End-Use Industries

  9. AI in Manufacturing Market-by Geography

  • 9.1. Overview
  • 9.2. Asia-Pacific
    • 9.2.1. China
    • 9.2.2. Japan
    • 9.2.3. South Korea
    • 9.2.4. India
    • 9.2.5. Australia & New Zealand
    • 9.2.6. Indonesia
    • 9.2.7. Thailand
    • 9.2.8. Taiwan
    • 9.2.9. Vietnam
    • 9.2.10. Rest of Asia-Pacific
  • 9.3. Europe
    • 9.3.1. Germany
    • 9.3.2. Italy
    • 9.3.3. U.K.
    • 9.3.4. France
    • 9.3.5. Spain
    • 9.3.6. Netherlands
    • 9.3.7. Russia
    • 9.3.8. Turkey
    • 9.3.9. Ireland
    • 9.3.10. Rest of Europe
  • 9.4. North America
    • 9.4.1. U.S.
    • 9.4.2. Canada
  • 9.5. Latin America
    • 9.5.1. Mexico
    • 9.5.2. Brazil
    • 9.5.3. Rest of Latin America
  • 9.6. Middle East & Africa
    • 9.6.1. UAE
    • 9.6.2. Israel
    • 9.6.3. Rest of Middle East & Africa

  10. Competition Analysis

  • 10.1. Overview
  • 10.2. Key Growth Strategies
  • 10.3. Competitive Benchmarking
  • 10.4. Competitive Dashboard
    • 10.4.1. Industry Leaders
    • 10.4.2. Market Differentiators
    • 10.4.3. Vanguards
    • 10.4.4. Emerging Companies
  • 10.5. Market Ranking, by Key Players

  11. Company Profiles

  • 11.1. International Business Machines Corporation
  • 11.2. Google LLC (A Subsidiary of Alphabet Inc.)
  • 11.3. Intel Corporation
  • 11.4. NVIDIA Corporation
  • 11.5. Microsoft Corporation
  • 11.6. Oracle Corporation
  • 11.7. Cisco Systems, Inc.
  • 11.8. Rockwell Automation, Inc.
  • 11.9. Amazon Web Services, Inc. (A Subsidiary of Amazon.Com, Inc.)
  • 11.10. Siemens AG
  • 11.11. General Electric Company
  • 11.12. SAP SE
  • 11.13. Robert Bosch GmbH
  • 11.14. Advanced Micro Devices, Inc.
  • 11.15. Sight Machine Inc.

  12. Appendix

  • 12.1. Available Customization
  • 12.2. Related Reports