市场调查报告书
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製造业中的人工智慧市场规模、占有率、预测、趋势分析:依组件、技术、应用、最终用途行业、地区划分 - 到 2031 年的全球预测AI in Manufacturing Market Size, Share, Forecast, & Trends Analysis by Component, Technology, Application, End-use Industry, and Geography - Global Forecast to 2031 |
製造业中的人工智慧是指应用人工智慧技术和方法来改善製造过程的各个方面。这些应用范围从生产计划优化到预测性维护和品质控制。随着工业 4.0 的到来,製造业在将先进技术应用于製造营运和流程方面取得了长足进步。製造业正在实施由人工智慧驱动的智慧解决方案和服务,以提高组织自动化和营运效率。智慧製造提供分散决策、优化物流和供应链、改善生产成果、提高流程效率、最大限度降低营运成本并实现智慧製造环境。预计2031年,製造业中的AI市场将达到845亿美元,2024年至2031年的复合年增长率为32.6%。
製造业人工智慧市场的成长是由工业4.0和智慧製造的日益普及、对预测性维护和品质控制的需求不断增长以及对自动化和营运效率不断增长的需求所推动的。然而,熟练劳动力的缺乏限制了这个市场的成长。此外,新兴国家製造业的增加以及供应链管理和物流中人工智慧的日益采用预计将为该市场的利益相关者提供成长机会。然而,资料安全和隐私问题是影响製造业市场人工智慧成长的主要课题。此外,该市场的一个显着趋势是製造业越来越多地采用电脑视觉和机器人技术。
製造业的人工智慧市场由组件(硬体[处理器、网路、记忆体]、软体[人工智慧平台、人工智慧解决方案]、服务[部署和整合、支援和维护])、技术(机器学习(ML) 、自然语言处理(NLP、上下文感知计算、电脑视觉、语音识别)、应用(现场服务、品质控制、网路安全、机器人和工厂自动化、预测性维护和机械测试、物料搬运、生产规划、安全规划、能源管理) )、供应链优化)、最终用途产业(半导体和电子、能源和电力、製药、医疗器材、汽车、重金属和机械製造、快速消费品、航空航太和国防等产业)。我们也评估竞争对手并分析区域和国家市场。
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