The Computer Numerical Control Machines (CNC) Market size was estimated at USD 60.91 Billion in 2022 and is expected to reach USD 132.47 Billion by 2030 at a CAGR of 10.2% during the forecast period of 2023-2030.
The capacity of computer numerical control (CNC) devices to automate manufacturing processes can be credited for their widespread adoption. To reduce human error and labor expenses, computer numerical control equipment can carry out complex tasks with great accuracy and consistency. These machines can operate constantly, around the clock, enhancing productivity and efficiency in a variety of sectors, including the automotive, aerospace, and electronics industries. The significant initial cost required to purchase and set up these modern production technologies is one major barrier. With high acquisition, installation, and training expenses, CNC machines present a financial barrier that may prevent their adoption, especially by small and medium-sized enterprises (SMEs) with limited resources. The high initial cost of CNC machines may prevent their broad use in some sectors or geographical areas. The market for computer numerical control machines is also predicted to suffer difficulties as a result of rising raw material costs and an approaching shortage of the semiconductors required for these devices. The market circumstances are anticipated to raise demand for pre-owned CNC machines, consequently slowing the expansion of the market for brand-new CNC machines. Throughout the predicted period, this tendency is expected to continue. The average unit cost of CNC machines is anticipated to increase over time due to volatility in raw material prices.
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MARKET DYNAMICS
DRIVERS
Demand for automation, accuracy, quality, and customization.
The adoption of CNC machines is driven by the rising demand for automation in manufacturing to increase effectiveness, decrease human error, and boost production output. CNC machines provide high levels of precision and consistency during the manufacturing process, which helps to increase product quality and decrease faults.
CNC machines enable quick and flexible product customization, satisfying a range of customer requests. CNC-controlled machines make it feasible to produce elaborate and sophisticated designs that would be difficult or impossible to do using manual methods.
RESTRAIN
Initial Expenditure
Costs of upkeep and technological obsolescence
When it comes to operating and programming CNC machines, specialized technical skills are required, and a lack of qualified operators might be a barrier.
OPPORTUNITY
Integration of Industry 4.0 and Growing Industries
The Internet of Things (IoT) and data analytics are two Industry 4.0 technologies that can be integrated with CNC machines to enable real-time monitoring, predictive maintenance, and process improvement. Combining CNC machining with additive manufacturing (3D printing) opens up new opportunities for rapidly producing complicated shapes. New markets for CNC machines are being created by expanding sectors like aerospace, medical technology, and electronics.
CHALLENGES
Competition on a global scale, regulatory compliance, and technological complexity.
IMPACT OF RUSSIAN RUSSIAN-UKRAINE WAR
Around the world, negative effects are anticipated, particularly in Eastern Europe, the European Union, Eastern and Central Asia, and the United States. This claim has significantly disrupted trade dynamics and hurt people's lives and means of subsistence. It is anticipated that the ongoing conflict and unpredictability in Eastern Europe will negatively affect Ukraine and have severe, long-lasting impacts on Russia. In light of the most recent information on the conflict and the responses from across the world, the paper explores the consequences for demand-supply balances, pressure on pricing variants, influence on import/export and trading, and short-term suggestions for the worldwide market for computer numerical controls.
IMPACT OF ONGOING RECESSION
The market for computer numerical control (CNC) machinery is anticipated to develop in the future due to the rising demand for equipment used in semiconductor fabrication. Equipment or gadgets used to manufacture semiconductors by manipulating atoms are referred to as semiconductor production equipment. By enabling the lowest surface tolerance, computer numerical control (CNC) machines are crucial components of semiconductor production machinery. The fabrication of cylindrical semiconductor components for the semiconductor production machinery is also made possible by these CNC machines. Sales of semiconductor manufacturing equipment increased from $102.5 billion in 2021 to $108.5 billion in 2022, a 5.69% increase, as reported by Equipment and Materials International, a US-based international industry association.
By Type
Milling Machines
Laser Machines
Welding Machines
Winding Machines
Others
By End-use
Automotive
Aerospace & Defense
Construction Equipment
Power & Energy
Industrial
Others
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REGIONAL COVERAGE
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
REGIONAL ANALYSES
The Asia-Pacific region held a 36% share of the global market in 2022 and is anticipated to experience the highest CAGR of around 13.0% during the projected period. It is anticipated that sales of computer numerical control equipment will exceed 800,000 units in 2023 and quadruple by 2030. Significant technological developments have taken place in the area, which has facilitated the spread of CNC machines. The market demand is attributed to the surge in industrial equipment manufacturing outsourcing services, low operational costs, and the availability of cheap raw materials that fuel the demand for manufacturing outsourcing and boost the sales of CNC machines over the forecast period.
During the projection period, Europe is anticipated to grow at a noteworthy CAGR of roughly 8.8%. The area has led the way in technological developments for the manufacturing industry. Modern CNC machines with increased capabilities have been created through constant invention and research. Germany, Italy, France, and the nations of Central and Eastern Europe are the main drivers of the expansion. Throughout the projected period, metalworking firms' increased investment in automation to boost the productivity of their CNC machines will be the primary driver of market expansion.
The major Key players are AMADA MACHINERY CO., LTD., Amera Seiki, 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., YAMAZAKI MAZAK CORPORATION, and others.
Amera Seiki-Company Financial Analysis
RECENT DEVELOPMENT
Amada Press System Co., Ltd: In March 2023, The LM-16A, a cutting-edge wire rotation torsion spring machine featuring a wire-rotating mechanism, eight processing slides, and a 15-axis control, was introduced by Amada Press System Co., Ltd. It introduces a novel double-swing axis that allows for accurate numerical control of the lateral movement of the slides, raising the bar for advanced spring production.
| Report Attributes | Details |
| Market Size in 2022 | US$ 60.91 Bn |
| Market Size by 2030 | US$ 132.47 Bn |
| CAGR | CAGR of 10.2% From 2023 to 2030 |
| Base Year | 2022 |
| Forecast Period | 2023-2030 |
| Historical Data | 2019-2021 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • 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) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America) |
| Company Profiles | AMADA MACHINERY CO., LTD., Amera Seiki, 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., YAMAZAKI MAZAK CORPORATION |
| Key Drivers | • Demand for automation, accuracy, quality, and customization. |
| Market Restraints | • Initial Expenditure • Costs of upkeep and technological obsolescence • When it comes to operating and programming CNC machines, specialized technical skills are required, and a lack of qualified operators might be a barrier. |
Yes, you may request customization based on your company needs.
The leading participants in the AMADA MACHINERY CO., LTD., Amera Seiki, DMG MORI CO., LTD., General Technology Group Dalian Machine Tool Corporation
Due to their ability to automate manufacturing processes, CNC machines are expanding in popularity in the industrial sector, where there is a rising demand for mass output as well as improved productivity and less downtime.
According to our analysis, the Computer Numerical Control Machines Market is anticipated to reach USD 132.47 billion By 2030.
The Computer Numerical Control Machines Market is expected to grow at 10.2% CAGR from 2023 to 2030.
TABLE OF CONTENTS
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 Impact of the Russia-Ukraine War
4.2 Impact of Ongoing Recession
4.2.1 Introduction
4.2.2 Impact on major economies
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 Japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Computer Numerical Control Machines Market, By Type
8.1 Lathe Machines
8.2 Milling Machines
8.3 Laser Machines
8.4 Grinding Machines
8.5 Welding Machines
8.6 Winding Machines
8.7 Others
9. Computer Numerical Control Machines Market, By End-use
9.1 Automotive
9.2 Aerospace & Defense
9.3 Construction Equipment
9.4 Power & Energy
9.5 Industrial
9.6 Others
10. Regional Analysis
10.1 Introduction
10.2 North America
10.2.1 North America Computer Numerical Control Machines Market, by Country
10.2.2North America Computer Numerical Control Machines Market, By Type
10.2.3 North America Computer Numerical Control Machines Market, By Industry
10.2.4 USA
10.2.4.1 USA Computer Numerical Control Machines Market, By Type
10.2.4.2 USA Computer Numerical Control Machines Market, By Industry
10.2.5 Canada
10.2.5.1 Canada Computer Numerical Control Machines Market, By Type
10.2.5.2 Canada Computer Numerical Control Machines Market, By Industry
10.2.6 Mexico
10.2.6.1 Mexico Computer Numerical Control Machines Market, By Type
10.2.6.2 Mexico Computer Numerical Control Machines Market, By Industry
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Eastern Europe Computer Numerical Control Machines Market, by Country
10.3.1.2 Eastern Europe Computer Numerical Control Machines Market, By Type
10.3.1.3 Eastern Europe Computer Numerical Control Machines Market, By Industry
10.3.1.4 Poland
10.3.1.4.1 Poland Computer Numerical Control Machines Market, By Type
10.3.1.4.2 Poland Computer Numerical Control Machines Market, By Industry
10.3.1.5 Romania10.3.1.5.1 Romania Computer Numerical Control Machines Market, By Type
10.3.1.5.2 Romania Computer Numerical Control Machines Market, By Industry
10.3.1.6 Hungary
10.3.1.6.1 Hungary Computer Numerical Control Machines Market, By Type
10.3.1.6.2 Hungary Computer Numerical Control Machines Market, By Industry
10.3.1.7 Turkey
10.3.1.7.1 Turkey Computer Numerical Control Machines Market, By Type
10.3.1.7.2 Turkey Computer Numerical Control Machines Market, By Industry
10.3.1.8 Rest of Eastern Europe
10.3.1.8.1 Rest of Eastern Europe Computer Numerical Control Machines Market, By Type
10.3.1.8.2 Rest of Eastern Europe Computer Numerical Control Machines Market, By Industry
10.3.2 Western Europe
10.3.2.1 Western Europe Computer Numerical Control Machines Market, by Country
10.3.2.2 Western Europe Computer Numerical Control Machines Market, By Type
10.3.2.3 Western Europe Computer Numerical Control Machines Market, By Industry
10.3.2.4 Germany
10.3.2.4.1 Germany Computer Numerical Control Machines Market, By Type
10.3.2.4.2 Germany Computer Numerical Control Machines Market, By Industry
10.3.2.5 France
10.3.2.5.1 France Computer Numerical Control Machines Market, By Type
10.3.2.5.2 France Computer Numerical Control Machines Market, By Industry
10.3.2.6 UK
10.3.2.6.1 UK Computer Numerical Control Machines Market, By Type
10.3.2.6.2 UK Computer Numerical Control Machines Market, By Industry
10.3.2.7 Italy
10.3.2.7.1 Italy Computer Numerical Control Machines Market, By Type
10.3.2.7.2 Italy Computer Numerical Control Machines Market, By Industry
10.3.2.8 Spain
10.3.2.8.1 Spain Computer Numerical Control Machines Market, By Type
10.3.2.8.2 Spain Computer Numerical Control Machines Market, By Industry
10.3.2.9 Netherlands
10.3.2.9.1 Netherlands Computer Numerical Control Machines Market, By Type
10.3.2.9.2 Netherlands Computer Numerical Control Machines Market, By Industry
10.3.2.10 Switzerland
10.3.2.10.1 Switzerland Computer Numerical Control Machines Market, By Type
10.3.2.10.2 Switzerland Computer Numerical Control Machines Market, By Industry
10.3.2.11 Austria
10.3.2.11.1 Austria Computer Numerical Control Machines Market, By Type
10.3.2.11.2 Austria Computer Numerical Control Machines Market, By Industry
10.3.2.12 Rest of Western Europe
10.3.2.12.1 Rest of Western Europe Computer Numerical Control Machines Market, By Type
10.3.2.12.2 Rest of Western Europe Computer Numerical Control Machines Market, By Industry
10.4 Asia-Pacific
10.4.1 Asia Pacific Computer Numerical Control Machines Market, by Country
10.4.2 Asia Pacific Computer Numerical Control Machines Market, By Type
10.4.3 Asia Pacific Computer Numerical Control Machines Market, By Industry
10.4.4 China
10.4.4.1 China Computer Numerical Control Machines Market, By Type
10.4.4.2 China Computer Numerical Control Machines Market, By Industry
10.4.5 India
10.4.5.1 India Computer Numerical Control Machines Market, By Type
10.4.5.2 India Computer Numerical Control Machines Market, By Industry
10.4.6 Japan
10.4.6.1 Japan Computer Numerical Control Machines Market, By Type
10.4.6.2 Japan Computer Numerical Control Machines Market, By Industry
10.4.7 South Korea
10.4.7.1 South Korea Computer Numerical Control Machines Market, By Type
10.4.7.2 South Korea Computer Numerical Control Machines Market, By Industry
10.4.8 Vietnam
10.4.8.1 Vietnam Computer Numerical Control Machines Market, By Type
10.4.8.2 Vietnam Computer Numerical Control Machines Market, By Industry
10.4.9 Singapore
10.4.9.1 Singapore Computer Numerical Control Machines Market, By Type
10.4.9.2 Singapore Computer Numerical Control Machines Market, By Industry
10.4.10 Australia
10.4.10.1 Australia Computer Numerical Control Machines Market, By Type
10.4.10.2 Australia Computer Numerical Control Machines Market, By Industry
10.4.11 Rest of Asia-Pacific
10.4.11.1 Rest of Asia-Pacific Computer Numerical Control Machines Market, By Type
10.4.11.2 Rest of Asia-Pacific Computer Numerical Control Machines Market, By Industry
10.5 Middle East & Africa
10.5.1 Middle East
10.5.1.1 Middle East Computer Numerical Control Machines Market, by Country
10.5.1.2 Middle East Computer Numerical Control Machines Market, By Type
10.5.1.3 Middle East Computer Numerical Control Machines Market, By Industry
10.5.1.4 UAE
10.5.1.4.1 UAE Computer Numerical Control Machines Market, By Type
10.5.1.4.2 UAE Computer Numerical Control Machines Market, By Industry
10.5.1.5 Egypt
10.5.1.5.1 Egypt Computer Numerical Control Machines Market, By Type
10.5.1.5.2 Egypt Computer Numerical Control Machines Market, By Industry
10.5.1.6 Saudi Arabia
10.5.1.6.1 Saudi Arabia Computer Numerical Control Machines Market, By Type
10.5.1.6.2 Saudi Arabia Computer Numerical Control Machines Market, By Industry
10.5.1.7 Qatar
10.5.1.7.1 Qatar Computer Numerical Control Machines Market, By Type
10.5.1.7.2 Qatar Computer Numerical Control Machines Market, By Industry
10.5.1.8 Rest of Middle East
10.5.1.8.1 Rest of Middle East Computer Numerical Control Machines Market, By Type
10.5.1.8.2 Rest of Middle East Computer Numerical Control Machines Market, By Industry
10.5.2 Africa
10.5.2.1 Africa Computer Numerical Control Machines Market, by Country
10.5.2.2 Africa Computer Numerical Control Machines Market, By Type
10.5.2.3 Africa Computer Numerical Control Machines Market, By Industry
10.5.2.4 Nigeria
10.5.2.4.1 Nigeria Computer Numerical Control Machines Market, By Type
10.5.2.4.2 Nigeria Computer Numerical Control Machines Market, By Industry
10.5.2.5 South Africa
10.5.2.5.1 South Africa Computer Numerical Control Machines Market, By Type
10.5.2.5.2 South Africa Computer Numerical Control Machines Market, By Industry
10.5.2.6 Rest of Africa
10.5.2.6.1 Rest of Africa Computer Numerical Control Machines Market, By Type
10.5.2.6.2 Rest of Africa Computer Numerical Control Machines Market, By Industry
10.6 Latin America
10.6.1 Latin America Computer Numerical Control Machines Market, by Country
10.6.2 Latin America Computer Numerical Control Machines Market, By Type
10.6.3 Latin America Computer Numerical Control Machines Market, By Industry
10.6.4 Brazil
10.6.4.1 Brazil Computer Numerical Control Machines Market, By Type
10.6.4.2 Brazil Computer Numerical Control Machines Market, By Industry
10.6.5 Argentina
10.6.5.1 Argentina Computer Numerical Control Machines Market, By Type
10.6.5.2 Argentina Computer Numerical Control Machines Market, By Industry
10.6.6 Colombia
10.6.6.1 Colombia Computer Numerical Control Machines Market, By Type
10.6.6.2 Colombia Computer Numerical Control Machines Market, By Industry
10.6.7 Rest of Latin America
10.6.7.1 Rest of Latin America Computer Numerical Control Machines Market, By Type
10.6.7.2 Rest of Latin America Computer Numerical Control Machines Market, By Industry
11. Company Profile
11.1 Nikon Corporation
11.1.1 Company Overview
11.1.2 Financials
11.1.3 Type/Services Offered
11.1.4 SWOT Analysis
11.1.5 The SNS View
11.2 Altec
11.2.1 Company Overview
11.2.2 Financials
11.2.3 Type/Services Offered
11.2.4 SWOT Analysis
11.2.5 The SNS View
11.3 Eley Metrology
11.3.1 Company Overview
11.3.2 Financials
11.3.3 Type/Services Offered
11.3.4 SWOT Analysis
11.3.5 The SNS View
11.4 Keyence Corporation
11.4.1 Company Overview
11.4.2 Financials
11.4.3 Type/Services Offered
11.4.4 SWOT Analysis
11.4.5 The SNS View
11.5 Hexagon
11.5.1 Company Overview
11.5.2 Financials
11.5.3 Type/Services Offered
11.5.4 SWOT Analysis
11.5.5 The SNS View
11.6 Mitutoyo
11.6.1 Company Overview
11.6.2 Financials
11.6.3 Type/Services Offered
11.6.4 SWOT Analysis
11.6.5 The SNS View
11.7 FARO Technologies
11.7.1 Company Overview
11.7.2 Financials
11.7.3 Type/Services Offered
11.7.4 SWOT Analysis
11.7.5 The SNS View
11.8 Micro-Vu
11.8.1 Company Overview
11.8.2 Financials
11.8.3 Type/Services Offered
11.8.4 SWOT Analysis
11.8.5 The SNS View
11.9 Applied Automation Tech
11.9.1 Company Overview
11.9.2 Financials
11.9.3 Type/ Services Offered
11.9.4 SWOT Analysis
11.9.5 The SNS View
11.10 Redlux
11.10.1 Company Overview
11.10.2 Financials
11.10.3 Type/Services Offered
11.10.4 SWOT Analysis
11.10.5 The SNS View
12. Competitive Landscape
12.1 Competitive Benchmarking
12.2 Market Share Analysis
12.3 Recent Developments
12.3.1 Industry News
12.3.2 Company News
12.3.3 Mergers & Acquisitions
13. USE Cases and Best Practices
14. Conclusion
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