市場調查報告書
商品編碼
1486917
製造業中的人工智慧市場規模、佔有率、預測、趨勢分析:依組件、技術、應用、最終用途行業、地區劃分 - 到 2031 年的全球預測AI in Manufacturing Market Size, Share, Forecast, & Trends Analysis by Component, Technology, Application, End-use Industry, and Geography - Global Forecast to 2031 |
製造業中的人工智慧是指應用人工智慧技術和方法來改善製造過程的各個方面。這些應用範圍從生產計劃優化到預測性維護和品質控制。隨著工業 4.0 的到來,製造業在將先進技術應用於製造營運和流程方面取得了長足進步。製造業正在實施由人工智慧驅動的智慧解決方案和服務,以提高組織自動化和營運效率。智慧製造提供分散決策、優化物流和供應鏈、改善生產成果、提高流程效率、最大限度降低營運成本並實現智慧製造環境。預計2031年,製造業中的AI市場將達到845億美元,2024年至2031年的複合年增長率為32.6%。
製造業人工智慧市場的成長是由工業4.0和智慧製造的日益普及、對預測性維護和品質控制的需求不斷增長以及對自動化和營運效率不斷增長的需求所推動的。然而,熟練勞動力的缺乏限制了這個市場的成長。此外,新興國家製造業的增加以及供應鏈管理和物流中人工智慧的日益採用預計將為該市場的利益相關者提供成長機會。然而,資料安全和隱私問題是影響製造業市場人工智慧成長的主要課題。此外,該市場的一個顯著趨勢是製造業越來越多地採用電腦視覺和機器人技術。
製造業的人工智慧市場由組件(硬體[處理器、網路、記憶體]、軟體[人工智慧平台、人工智慧解決方案]、服務[部署和整合、支援和維護])、技術(機器學習(ML) 、自然語言處理(NLP、上下文感知計算、電腦視覺、語音識別)、應用(現場服務、品質控制、網路安全、機器人和工廠自動化、預測性維護和機械測試、物料搬運、生產規劃、安全規劃、能源管理) )、供應鏈優化)、最終用途產業(半導體和電子、能源和電力、製藥、醫療器材、汽車、重金屬和機械製造、快速消費品、航空航太和國防等產業)。我們也評估競爭對手並分析區域和國家市場。
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