市场调查报告书
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1607703
智慧製造市场规模、份额、成长分析,按组成部分、按技术、按行业、按地区 - 行业预测,2024-2031Smart Manufacturing Market Size, Share, Growth Analysis, By Component(Hardware, Software, Services), By Technology, By Industry Vertical, By Region - Industry Forecast 2024-2031 |
2022年全球智慧製造市场规模将达2,259.9亿美元,从2023年的2,605.6亿美元成长到2031年的8,138.6亿美元,复合年增长率预计为15.3%。
由于工业4.0的快速采用以及政府对工业自动化的支持力度加大,智慧製造市场正在显着成长。对製造流程自动化的重视以及对最大限度地减少时间和成本的高效软体解决方案的需求进一步推动了这种扩张。由于全球供应链在停工期间面临中断,COVID-19 大流行促使人们将重点转向生产必需品。然而,儘管存在这些挑战,但对快速、安全的货物交付的需求使得市场蓬勃发展。值得注意的是,资讯科技和汽车产业在工业 4.0 的发展中处于主导,汽车製造商利用自动化来优化组装并简化成品车的生产流程。
Global Smart Manufacturing Market size was valued at USD 225.99 Billion in 2022 and is poised to grow from USD 260.56 Billion in 2023 to USD 813.86 Billion by 2031, growing at a CAGR of 15.3 % in the forecast period (2024-2031).
The smart manufacturing market is experiencing significant growth, driven by the rapid adoption of Industry 4.0 and increased government support for industrial automation. The emphasis on automating manufacturing processes, along with the demand for efficient software solutions that minimize time and cost, is further propelling this expansion. The COVID-19 pandemic prompted a shift in focus towards essential product manufacturing, as global supply chains faced disruptions during lockdowns. However, the need for rapid, safe delivery of goods enabled the market to thrive despite these challenges. Notably, the information technology and automotive sectors are leading the charge in Industry 4.0 advancements, with automotive manufacturers leveraging automation to optimize assembly lines and streamline production processes for complete vehicles.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Smart Manufacturing market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Smart Manufacturing Market Segmental Analysis
Global Smart Manufacturing Market is segmented by Component, Technology, Deployment, Enterprise Size, Industry and region. Based on component, the market is segmented into Hardware, Software, Services. Based on Technology, the market is segmented into Machine Execution Systems, Programmable Logic Controller, Enterprise Resource Planning, SCADA, Discrete Control Systems, Human Machine Interface, Machine Vision, 3D Printing, Product Lifecycle Management, Plant Asset Management and Others. Based on Deployment, the market is segmented into Cloud, On-Premises. Based on Enterprise Size, the market is segmented into Large Enterprises, Small & Medium Enterprises. Based on Industry, the market is segmented into Discrete Industry, Automotive, Transportation, Industrial Machinery, Medical Devices, Semiconductor and Electronics/High-Tech, Others (Aerospace and Defence), Process Industry, Pharmaceuticals, Mining and Metals, Chemicals, Pulp and Paper, Others (Cable). Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Driver of the Global Smart Manufacturing Market
The Global Smart Manufacturing market is experiencing significant growth driven by the rising demand for sensor-rich applications. Innovations in sensor technology that deliver highly precise and accurate measurements are playing a pivotal role in stimulating interest in new applications. This trend not only enhances manufacturing efficiency and energy absorption but also supports the development of advanced manufacturing frameworks. As industries increasingly recognize the benefits of smart manufacturing, the market is set to expand further, fueled by the evolution of technology and the pursuit of improved operational effectiveness in production processes.
Restraints in the Global Smart Manufacturing Market
One of the significant challenges facing the Global Smart Manufacturing market is the necessity for workforce skill enhancement and retraining. As smart manufacturing gains traction, companies must prioritize investing in the upskilling of their employees to navigate the evolving technological landscape. Workers are required to learn new skills to effectively interact with robots, oversee robotic systems, and perform complementary tasks that support automated operations. Implementing effective retraining programs is essential for ensuring a seamless transition into this smart manufacturing paradigm while also preserving job opportunities for the existing workforce and maximizing the advantages of industrial automation.
Market Trends of the Global Smart Manufacturing Market
The global smart manufacturing market is poised for significant growth, driven by rapid advancements in robotics, artificial intelligence, machine learning, and sensor technologies. As these innovations enhance robot capabilities, making them more intelligent, adaptable, and efficient, industries are increasingly integrating smart manufacturing solutions to optimize operations and improve productivity. This trend reflects a growing demand for automation in sectors ranging from automotive to electronics, as companies aim to reduce costs and improve precision. Furthermore, the shift towards sustainable practices and the adoption of Industry 4.0 principles are further propelling the market, making smart manufacturing an essential component of modern industrial strategies.