全球計算機數控 (CNC) 機床市場 (2023-2030)：按類型（金屬切削/金屬成型）和應用（汽車/通用機械）劃分的規模、份額、增長分析和預測

Global Computer Numerical Control Machines Market Size, Share, Growth Analysis, By Type(Metal Cutting, Metal Forming), By Application(Automotive, General Machinery) - Industry Forecast 2023-2030

出版日期: 2023年04月23日 | 出版商:

SkyQuest | 英文 157 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

計算機數控 (CNC) 機床市場規模預計 2021 年為 564 億美元，2022 年為 621.1 億美元，2023-2030 年預測期間複合年增長率為 10.2%，預計將增長至 1,314.24 億美元2030年。

公司對複雜加工產品效率的需求不斷增加，預計會對市場擴張產生積極影響。對精度要求的提高、運營成本的下降以及生產過程中的技術進步也是影響數控設備採用的因素。

在本報告中，我們研究了全球計算機數控 (CNC) 機床市場，提供了市場概況、市場各種影響因素分析、技術和創新趨勢、市場規模趨勢和預測以及各種細分市場。□總結了按地區分類、競爭狀況、主要公司概況等。

內容

執行摘要

母市場分析

市場概覽
市場規模
市場動態
驅動程序
機會
制約因素
任務
主要市場洞察
技術分析
價格分析
供應鏈分析
價值鏈分析
市場生態系統
知識產權分析
貿易分析
啟動分析
原材料分析
創新矩陣
管道產品分析
宏觀經濟指標
主要投資分析
關鍵成功因素
爭用程度
市場動態和前景
市場動態
驅動程序
機會
制約因素
任務
監管狀況
波特的分析
Skyquest 對未來顛覆的特殊洞察

全球計算機數控 (CNC) 機床市場類型

市場概覽
金屬切削
金屬成型

全球計算機數控 (CNC) 機床市場應用

市場概覽
汽車
通用機械
精密工程
運輸機械
其他（能源、電力等）
按地區劃分的全球計算機數控 (CNC) 機床市場
市場概覽
北美
美國
加拿大
歐洲
德國
西班牙
法國
英國
歐洲其他地區
亞太地區
中國
印度
日本
韓國
亞太地區其他地區
拉丁美洲
巴西
其他拉丁美洲地區
中東和非洲
海灣合作委員會國家
南非
其他中東和非洲地區
競爭格局
五家主要公司的比較
主要公司的定位
各大公司的招聘策略
關鍵成功策略
最近的市場活動
主要公司的市場份額
主要公司簡介
Yamazaki Mazak Corporation (Aichi, Japan)
Soft Servo Systems, Inc.
Amada Machine Tools Co. Ltd.
Mitsubishi Electric Corporation
Fanuc Corporation
Sandvik AB
Siemens AG
Bosch Rexroth AG
Heldenhain GmbH
CNS Equipment Ltd.

簡介目錄

Product Code: SQSG20I2015

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.