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.
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.).
AI in Manufacturing Market Assessment -by Component
AI in Manufacturing Market-by Technology
AI in Manufacturing Market-by Application
AI in Manufacturing Market-by End-use Industry
AI in Manufacturing Market-by Geography