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¼¼°èÀÇ ÄÄÇ»ÅÍ ¼öÄ¡Á¦¾î(CNC) °øÀÛ±â°è ½ÃÀå(2023-2030³â) : À¯Çü(±Ý¼Ó Àý»è, ±Ý¼Ó ¼ºÇü), ¿ëµµ(ÀÚµ¿Â÷, ÀÏ¹Ý ±â°è)º° ±Ô¸ð, Á¡À¯À², ¼ºÀå ºÐ¼®, ¿¹ÃøGlobal Computer Numerical Control Machines Market Size, Share, Growth Analysis, By Type(Metal Cutting, Metal Forming), By Application(Automotive, General Machinery) - Industry Forecast 2023-2030 |
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Global Computer Numerical Control Machines Market size was valued at USD 56.4 billion in 2021 and is poised to grow from USD 62.11 billion in 2022 to USD 131.424 billion by 2030, growing at a CAGR of 10.2% in the forecast period (2023-2030).
The rising demand from businesses for intricate machining goods to be more efficient is projected to have a positive effect on market expansion. The demand for high accuracy is rising, operating costs are dropping, and technological advancements in production processes are all factors that have an impact on the adoption of CNC equipment. Computer Numerical Control Devices are also included. The increase in mass production of items across various sectors, including autos and electronics, may be responsible for market expansion. These technologies are advancing due to the growing demand for mass customization. For instance, quickly and efficiently producing a large number of items in a batch is made possible by CNC machine tools that can be programmed.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Computer Numerical Control Machines 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 by 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.
Segments covered in this report:
The Global Computer Numerical Control Machines Market is segmented based on Type, Application, and Region. Based on the Type, the Global Computer Numerical Control Machines Market is segmented into Metal Cutting and Metal Forming. Based on the Application, the Global Computer Numerical Control Machines Market is segmented as Automotive, General Machinery, Precision Engineering, Transport Machinery, and Others (Energy, Electrical, etc.). Based on Region Computer Numerical Control Machines Market is categorized into North America, Europe, Asia-Pacific, Latin America, and MEA.
Driver
IoT evolution
The adoption of the Internet of Things by manufacturers in their production processes has expanded as a result of the need for real-time information access. As a result, there would be an improvement in every aspect of productivity, safety, production innovation, and downtime costs. As an example of a far-reaching Internet of Things (IoT) innovation that enables remote monitoring of computerised numerical control machines that are already in India, Zyfra unveiled a cloud-based version of their MDCplus machine monitoring system in April 2020. The availability of sensors, internet access, and cloud computing are further projected industry drivers.
Restraint
Costly upkeep and inadequate training
Equipment with a CNC is more expensive than equipment with a manual drive. However, it is anticipated that over time, their cost would actually decrease. Furthermore, to maintain the equipment's proper performance, manufacturers must do routine maintenance on the high-tech items. Additionally, in order to operate this machinery, machinists must obtain the appropriate training and become familiar with the technical know-how. Therefore, in an effort to lessen the effects of the constraint, manufacturers are providing a variety of training programmes to enhance the skills of machinists.
Market Trends
Process automation has had a tremendous impact on the machine tool business. Process automation is becoming more prevalent in the manufacturing sector as a result of the need for enhanced service quality, efficiency, and simplicity. Making use of a variety of digital technologies, such as artificial intelligence (AI) and the internet of things (IoT), manufacturers are now embracing new technology themselves. For instance, JTEKT uses a lot of digital technology in both its business practises and end goods. It has introduced automated inspection equipment that makes use of image processing technologies to replace manual scrutiny. The company is also producing Programmable Logic Controllers (PLC) for autonomous grinders and edge computing machine tools. As a result, AI technology is one of the major advancements in the field of machine tools.