![]() |
市場調査レポート
商品コード
1623816
コンピュータ数値制御の市場規模、シェア、成長分析、タイプ別、用途別、エンドユーザー別、地域別 - 産業予測、2025~2032年Computer Numerical Control Market Size, Share, Growth Analysis, By Type (Metal Cutting, Metal Forming), By Application (Lathe Machines, Milling Machines), By End User, By Region - Industry Forecast 2025-2032 |
||||||
|
コンピュータ数値制御の市場規模、シェア、成長分析、タイプ別、用途別、エンドユーザー別、地域別 - 産業予測、2025~2032年 |
出版日: 2024年12月25日
発行: SkyQuest
ページ情報: 英文 165 Pages
納期: 3~5営業日
|
コンピュータ数値制御の世界市場規模は、2023年に616億米ドルと評価され、2024年の671億米ドルから2032年には1,476億4,000万米ドルに成長し、予測期間(2025-2032年)のCAGRは10.2%で成長する見通しです。
コンピュータ数値制御(CNC)市場は、加工効率と精度を向上させるプログラマブル・オートメーションの進歩により、成長する見込みです。CNC技術は、人的ミスの削減、生産速度の高速化、製造の柔軟性の向上など、大きなメリットをもたらし、優れた品質を要求する産業で高い価値を発揮します。工作機械分野の拡大とレトロフィット需要は、この市場の発展にさらに拍車をかけています。しかし、高い投資コストやメンテナンスコスト、熟練したプログラマーの必要性といった課題が、成長を妨げる可能性があります。CNCアプリケーションは主に航空宇宙と自動車分野で盛んだが、食品、ヘルスケア、宝飾品、木工産業での役割も増えています。工作機械と非工作機械の両分野で需要は旺盛で、両分野とも成長が期待されています。
Global Computer Numerical Control Market size was valued at USD 61.6 billion in 2023 and is poised to grow from USD 67.1 billion in 2024 to USD 147.64 billion by 2032, growing at a CAGR of 10.2% during the forecast period (2025-2032).
The computerised numerical control (CNC) market is poised for growth, driven by advancements in programmable automation that enhance machining efficiency and accuracy. CNC technology offers significant benefits, including reduced human error, faster production rates, and increased manufacturing flexibility, making it highly valuable in industries demanding superior quality. The expansion of the machine tool sector and retrofitting demands further fuel this market's progress. However, challenges such as high investment and maintenance costs, along with the need for skilled programmers, could hinder growth. While CNC applications predominantly thrive in aerospace and automotive sectors, they are increasingly finding roles in food, healthcare, jewelry, and woodworking industries. Demand is strong for both machine tool and non-machine tool categories, with expectations of growth across both segments.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Computer Numerical Control 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 Computer Numerical Control Market Segmental Analysis
Global Computer Numerical Control Market is segmented by type, application, end user and region. Based on type, the market is segmented into metal cutting and metal forming. Based on application, the market is segmented into lathe machines, milling machines, laser machines, grinding machines, welding machines, winding machines and others. Based on end user, the market is segmented into automotive, aerospace and defence, construction equipment, power and energy, industrial and others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Computer Numerical Control Market
The global market for Computer Numerical Control (CNC) machines is primarily driven by the escalating demand for diverse industrial tools and equipment, particularly in sectors such as medical devices, telecommunications, semiconductor manufacturing, and electric vehicles (EVs). This growth is fueled by the increasing need for highly accurate and sophisticated five-axis milling machines, crucial for EV production. Furthermore, there is a growing inclination towards automated CNC systems that incorporate industrial robotics. These advanced systems leverage simulation software to boost production efficiency, address workforce shortages, and maximize output. Factors such as urbanization, changing lifestyles, increased investments, and rising consumer expenditure also contribute positively to the CNC market dynamics.
Restraints in the Global Computer Numerical Control Market
The Global Computer Numerical Control (CNC) market faces several restraints that may hinder its growth. The substantial initial investment required for purchasing CNC machines, combined with ongoing maintenance costs, poses a significant barrier for potential buyers. Furthermore, during the forecast period from 2022 to 2028, challenges such as volatile raw material prices and a shortage of semiconductors crucial for the manufacturing of CNC machines are anticipated to exacerbate these issues. These factors collectively threaten to impede the overall expansion of the CNC market, affecting both manufacturers and end-users alike.
Market Trends of the Global Computer Numerical Control Market
The Global Computer Numerical Control (CNC) market is experiencing robust growth driven by the escalating demand for automated manufacturing across various industrial sectors. This trend is particularly pronounced in the Asia Pacific region, where the expansion of industrial facilities is propelling CNC adoption. Notably, the automotive industry plays a pivotal role, utilizing CNC machines extensively for producing critical components such as engine housings, axles, and suspension parts, alongside intricate tasks like milling acrylic for automotive lighting. As the shift towards automation in vehicle production accelerates, the CNC market is poised for significant expansion, reflecting a broader trend towards efficiency and precision in manufacturing processes.