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Computer Numerical Control Machines (CNC) Market Scope & Overview:

The Computer Numerical Control Machines (CNC) Market size was estimated at USD 66.4 Billion in 2023 and is expected to reach USD 147 Billion by 2031 at a CAGR of 10.43% during the forecast period of 2024-2031.

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.

Computer Numerical Control Machines (CNC) Market By Region

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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.

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.

KEY MARKET SEGMENTATION

By Type

By End-use

  • Automotive

  • Aerospace & Defense

  • Construction Equipment

  • Power & Energy

  • Industrial

  • Others

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.

Computer Numerical Control Machines (CNC) Market By Region

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Key Players

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

Company Landscape 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.

Computer Numerical Control Machines Market Report Scope:

Report Attributes Details
Market Size in 2023 US$ 66.4  Bn
Market Size by 2031 US$ 147 Bn
CAGR  CAGR of 10.43% From 2024 to 2031
Base Year 2022 
Forecast Period  2024-2031
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.
 

 

Frequently Asked Questions

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 147 billion By 2031.

The Computer Numerical Control Machines Market is expected to grow at 10.43% CAGR from 2024 to 2031.

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

An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.

Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.

 

The 5 steps process:

Step 1: Secondary Research:

Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.

Secondary Research

Step 2: Primary Research

When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data.  This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.

We at SNS Insider have divided Primary Research into 2 parts.

Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.

This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.

Primary Research

Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.

Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.

Step 3: Data Bank Validation

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Data Bank Validation

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