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Global Computer Numerical Control Machines Market to reach USD 133.42 billion by the end of 2030.

Global Computer Numerical Control Machines Market Size study & Forecast, by Type (Lathe Machines, Milling Machines, Laser Machines, Grinding Machines, Welding Machines, Winding Machines, Others), by End-use (Automotive, Aerospace & Defense, Construction Equipment, Power & Energy, Industrial, Others) and Regional Analysis, 2023-2030

Product Code: EESC-55052681
Publish Date: 20-02-2024
Page: 200

Global Computer Numerical Control Machines Market is valued at approximately USD 60.90 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 10.3% during the forecast period 2023-2030. Computer Numerical Control (CNC) machines are advanced manufacturing tools that operate with precision and automation, transforming digital instructions into physical products. These machines are equipped with computerized systems that control the movement of tools and machinery, allowing for highly accurate and efficient machining processes. CNC machines find widespread use in various industries, including metalworking, woodworking, and plastic fabrication. The Computer Numerical Control Machines Market is expanding because of factors such as the rise in industrial automation, rising demand from the aerospace and automotive industries and the evolution of the Internet of Things (IoT).

The rising wave of industrial automation has become a primary driver for the growth of the Computer Numerical Control (CNC) Machines Market. As industries across the globe increasingly embrace automation to enhance efficiency, reduce operational costs, and improve overall productivity, CNC machines have emerged as pivotal components in automated manufacturing processes. CNC machines offer a seamless integration of advanced technologies, enabling precise control and coordination of machinery and tools. According to Statista, the global Industrial Automation Market in the year 2020 stood at USD 175 Billion which increased to USD 207 billion in the year 2022 and it is projected to reach USD 265 billion by year 2025. In addition, increasing demand for customized production and rising initiatives to produce electrical equipment are creating new opportunities for market growth. However, the high costs associated with installation and maintenance stifle market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Computer Numerical Control Machines Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. Europe dominated the market in 2022. The market in the region is being driven by factors such as rising industrial automation, rising adoption of digital technologies among process industries, and rising investment for the adoption of the Internet of Things in the region. Asia Pacific is expected to grow significantly over the forecast period, owing to factors such as rising initiatives for the production of consumer electronics, rising investment for the development of industrial settings, rising initiatives for the adoption of digital technologies among manufacturing facilities in the region.

Major market player included in this report are:
Amada Machinery Co., Ltd.
Amera Seiki Corp.
DMG Mori Co., Ltd.
General Technology Group Dalian Machine Tool Corporation
Datron Ag
Fanuc Corporation
Haas Automation, Inc.
Hurco Companies, Inc.
OKUMA Corporation
Shenyang Machine Tool Part Co., Ltd.

Recent Developments in the Market:
Ø In March 2022, Ramco Specialties Inc., a prominent player in the US Market for critical component manufacturing, expanded its manufacturing capabilities by acquiring high-precision CNC equipment. This strategic investment is expected to set a precedent, encouraging other key component manufacturers in the region to adopt similar cutting-edge equipment for their manufacturing processes.
Ø In Aug 2021, Sandvik successfully acquired CNC Software Inc., a company specializing in the development and distribution of CAD/CAM software solutions for a wide range of players in the manufacturing industry. Going forward, the acquired company operate within Sandvik’s planning and design automation division.

Global Computer Numerical Control Machines Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Type, End-use, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Type:
Lathe Machines
Milling Machines
Laser Machines
Grinding Machines
Welding Machines
Winding Machines

By End Use:
Aerospace & Defense
Construction Equipment
Power & Energy

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Computer Numerical Control Machines Market, by Region, 2020-2030 (USD Billion)
1.2.2. Computer Numerical Control Machines Market, by Type, 2020-2030 (USD Billion)
1.2.3. Computer Numerical Control Machines Market, by End-use, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Computer Numerical Control Machines Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Computer Numerical Control Machines Market Dynamics
3.1. Computer Numerical Control Machines Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rise in Industrial Automation Rising demand from Aerospace and Automotive Industries Evolution of the Internet of Things (IoT)
3.1.2. Market Challenges High Costs Associated with Installation and Maintenance
3.1.3. Market Opportunities Increasing Demand for Customized Production Rising initiatives for production of electrical equipment
Chapter 4. Global Computer Numerical Control Machines Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Computer Numerical Control Machines Market, by Type
5.1. Market Snapshot
5.2. Global Computer Numerical Control Machines Market by Type, Performance – Potential Analysis
5.3. Global Computer Numerical Control Machines Market Estimates & Forecasts by Type 2020-2030 (USD Billion)
5.4. Computer Numerical Control Machines Market, Sub Segment Analysis
5.4.1. Lathe Machines
5.4.2. Milling Machines
5.4.3. Laser Machines
5.4.4. Grinding Machines
5.4.5. Welding Machines
5.4.6. Winding Machines
5.4.7. Others
Chapter 6. Global Computer Numerical Control Machines Market, by End-use
6.1. Market Snapshot
6.2. Global Computer Numerical Control Machines Market by End-use, Performance – Potential Analysis
6.3. Global Computer Numerical Control Machines Market Estimates & Forecasts by End-use 2020-2030 (USD Billion)
6.4. Computer Numerical Control Machines Market, Sub Segment Analysis
6.4.1. Automotive
6.4.2. Aerospace & Defense
6.4.3. Construction Equipment
6.4.4. Power & Energy
6.4.5. Industrial
6.4.6. Others
Chapter 7. Global Computer Numerical Control Machines Market, Regional Analysis
7.1. Top Leading Countries
7.2. Top Emerging Countries
7.3. Computer Numerical Control Machines Market, Regional Market Snapshot
7.4. North America Computer Numerical Control Machines Market
7.4.1. U.S. Computer Numerical Control Machines Market Type breakdown estimates & forecasts, 2020-2030 End-use breakdown estimates & forecasts, 2020-2030
7.4.2. Canada Computer Numerical Control Machines Market
7.5. Europe Computer Numerical Control Machines Market Snapshot
7.5.1. U.K. Computer Numerical Control Machines Market
7.5.2. Germany Computer Numerical Control Machines Market
7.5.3. France Computer Numerical Control Machines Market
7.5.4. Spain Computer Numerical Control Machines Market
7.5.5. Italy Computer Numerical Control Machines Market
7.5.6. Rest of Europe Computer Numerical Control Machines Market
7.6. Asia-Pacific Computer Numerical Control Machines Market Snapshot
7.6.1. China Computer Numerical Control Machines Market
7.6.2. India Computer Numerical Control Machines Market
7.6.3. Japan Computer Numerical Control Machines Market
7.6.4. Australia Computer Numerical Control Machines Market
7.6.5. South Korea Computer Numerical Control Machines Market
7.6.6. Rest of Asia Pacific Computer Numerical Control Machines Market
7.7. Latin America Computer Numerical Control Machines Market Snapshot
7.7.1. Brazil Computer Numerical Control Machines Market
7.7.2. Mexico Computer Numerical Control Machines Market
7.8. Middle East & Africa Computer Numerical Control Machines Market
7.8.1. Saudi Arabia Computer Numerical Control Machines Market
7.8.2. South Africa Computer Numerical Control Machines Market
7.8.3. Rest of Middle East & Africa Computer Numerical Control Machines Market

Chapter 8. Competitive Intelligence
8.1. Key Company SWOT Analysis
8.1.1. Company 1
8.1.2. Company 2
8.1.3. Company 3
8.2. Top Market Strategies
8.3. Company Profiles
8.3.1. Amada Machinery Co., Ltd. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
8.3.2. Amera Seiki Corp.
8.3.3. DMG Mori Co., Ltd.
8.3.4. General Technology Group Dalian Machine Tool Corporation
8.3.5. Datron Ag
8.3.6. Fanuc Corporation
8.3.7. Haas Automation, Inc
8.3.8. Hurco Companies, Inc.
8.3.9. OKUMA Corporation
8.3.10. Shenyang Machine Tool Part Co., Ltd.
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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