| Product Code: ETC5684160 | Publication Date: Nov 2023 | Updated Date: Dec 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 60 | No. of Figures: 30 | No. of Tables: 5 |
In 2024, Denmark continued to see a steady flow of Computer Numerically Controlled imports, with Belgium, Germany, Sweden, Japan, and Taiwan, Province of China being the top exporting countries. Despite a slight decline in growth rate from 2023 to 2024, the Compound Annual Growth Rate (CAGR) for the period 2020-2024 remained strong at 5.9%. The market concentration, as measured by the Herfindahl-Hirschman Index (HHI), stayed at high levels, indicating a competitive yet consolidated market landscape for CNC imports in Denmark.

1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Denmark Computer Numerically Controlled Market Overview |
3.1 Denmark Country Macro Economic Indicators |
3.2 Denmark Computer Numerically Controlled Market Revenues & Volume, 2021 & 2031F |
3.3 Denmark Computer Numerically Controlled Market - Industry Life Cycle |
3.4 Denmark Computer Numerically Controlled Market - Porter's Five Forces |
3.5 Denmark Computer Numerically Controlled Market Revenues & Volume Share, By Tool Type, 2021 & 2031F |
3.6 Denmark Computer Numerically Controlled Market Revenues & Volume Share, By Industry Vertical, 2021 & 2031F |
4 Denmark Computer Numerically Controlled Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for precision and efficiency in manufacturing processes |
4.2.2 Technological advancements in CNC machines leading to improved capabilities and automation |
4.2.3 Government initiatives to promote digitalization and industry 4.0 practices in manufacturing sector |
4.3 Market Restraints |
4.3.1 High initial investment costs associated with CNC machines |
4.3.2 Skilled labor shortage for operating and maintaining CNC machines |
4.3.3 Dependence on global supply chains for components and parts |
5 Denmark Computer Numerically Controlled Market Trends |
6 Denmark Computer Numerically Controlled Market Segmentations |
6.1 Denmark Computer Numerically Controlled Market, By Tool Type |
6.1.1 Overview and Analysis |
6.1.2 Denmark Computer Numerically Controlled Market Revenues & Volume, By Lathes, 2021-2031F |
6.1.3 Denmark Computer Numerically Controlled Market Revenues & Volume, By Mills, 2021-2031F |
6.1.4 Denmark Computer Numerically Controlled Market Revenues & Volume, By Routers, 2021-2031F |
6.1.5 Denmark Computer Numerically Controlled Market Revenues & Volume, By Grinders, 2021-2031F |
6.1.6 Denmark Computer Numerically Controlled Market Revenues & Volume, By Others, 2021-2031F |
6.2 Denmark Computer Numerically Controlled Market, By Industry Vertical |
6.2.1 Overview and Analysis |
6.2.2 Denmark Computer Numerically Controlled Market Revenues & Volume, By Aerospace & Defense, 2021-2031F |
6.2.3 Denmark Computer Numerically Controlled Market Revenues & Volume, By Automobile, 2021-2031F |
6.2.4 Denmark Computer Numerically Controlled Market Revenues & Volume, By Electronics, 2021-2031F |
6.2.5 Denmark Computer Numerically Controlled Market Revenues & Volume, By Healthcare, 2021-2031F |
6.2.6 Denmark Computer Numerically Controlled Market Revenues & Volume, By Industry Machinery, 2021-2031F |
6.2.7 Denmark Computer Numerically Controlled Market Revenues & Volume, By Others, 2021-2031F |
7 Denmark Computer Numerically Controlled Market Import-Export Trade Statistics |
7.1 Denmark Computer Numerically Controlled Market Export to Major Countries |
7.2 Denmark Computer Numerically Controlled Market Imports from Major Countries |
8 Denmark Computer Numerically Controlled Market Key Performance Indicators |
8.1 Percentage increase in the adoption of Industry 4.0 technologies in the manufacturing sector |
8.2 Average machine downtime in CNC facilities |
8.3 Rate of utilization of CNC machines in manufacturing processes |
8.4 Number of training programs conducted for upskilling workforce in CNC operations |
8.5 Percentage of local sourcing for CNC machine components and parts |
9 Denmark Computer Numerically Controlled Market - Opportunity Assessment |
9.1 Denmark Computer Numerically Controlled Market Opportunity Assessment, By Tool Type, 2021 & 2031F |
9.2 Denmark Computer Numerically Controlled Market Opportunity Assessment, By Industry Vertical, 2021 & 2031F |
10 Denmark Computer Numerically Controlled Market - Competitive Landscape |
10.1 Denmark Computer Numerically Controlled Market Revenue Share, By Companies, 2024 |
10.2 Denmark Computer Numerically Controlled Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations | 13 Disclaimer |
Export potential enables firms to identify high-growth global markets with greater confidence by combining advanced trade intelligence with a structured quantitative methodology. The framework analyzes emerging demand trends and country-level import patterns while integrating macroeconomic and trade datasets such as GDP and population forecasts, bilateral import–export flows, tariff structures, elasticity differentials between developed and developing economies, geographic distance, and import demand projections. Using weighted trade values from 2020–2024 as the base period to project country-to-country export potential for 2030, these inputs are operationalized through calculated drivers such as gravity model parameters, tariff impact factors, and projected GDP per-capita growth. Through an analysis of hidden potentials, demand hotspots, and market conditions that are most favorable to success, this method enables firms to focus on target countries, maximize returns, and global expansion with data, backed by accuracy.
By factoring in the projected importer demand gap that is currently unmet and could be potential opportunity, it identifies the potential for the Exporter (Country) among 190 countries, against the general trade analysis, which identifies the biggest importer or exporter.
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