| Product Code: ETC8859974 | Publication Date: Sep 2024 | Updated Date: Feb 2026 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Sumit Sagar | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
In 2024, Poland import trend for Computer Numerical Control (CNC) machines experienced a -5.14% growth rate compared to the previous year. The Compound Annual Growth Rate (CAGR) for 2020-2024 stood at -1.85%. This decline could be attributed to a combination of weakened demand for CNC machines in the market and potential shifts in trade policies impacting imports during the period.

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 Poland Computer Numerical Control (CNC) Machine Market Overview |
3.1 Poland Country Macro Economic Indicators |
3.2 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume, 2021 & 2031F |
3.3 Poland Computer Numerical Control (CNC) Machine Market - Industry Life Cycle |
3.4 Poland Computer Numerical Control (CNC) Machine Market - Porter's Five Forces |
3.5 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume Share, By Type, 2021 & 2031F |
3.6 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume Share, By Application, 2021 & 2031F |
3.7 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume Share, By End-Use, 2021 & 2031F |
4 Poland Computer Numerical Control (CNC) Machine Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Technological advancements in CNC machines leading to increased efficiency and accuracy |
4.2.2 Growing demand for automation and precision in manufacturing processes |
4.2.3 Increasing adoption of CNC machines in industries like automotive, aerospace, and healthcare |
4.3 Market Restraints |
4.3.1 High initial investment cost of CNC machines |
4.3.2 Lack of skilled workforce to operate and maintain CNC machines |
4.3.3 Economic downturns impacting the overall demand for CNC machines |
5 Poland Computer Numerical Control (CNC) Machine Market Trends |
6 Poland Computer Numerical Control (CNC) Machine Market, By Types |
6.1 Poland Computer Numerical Control (CNC) Machine Market, By Type |
6.1.1 Overview and Analysis |
6.1.2 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume, By Type, 2021- 2031F |
6.1.3 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume, By Lathe Machines, 2021- 2031F |
6.1.4 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume, By Milling Machines, 2021- 2031F |
6.1.5 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume, By Laser Machines, 2021- 2031F |
6.1.6 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume, By Grinding Machines, 2021- 2031F |
6.1.7 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume, By Welding Machines, 2021- 2031F |
6.1.8 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume, By Winding Machines, 2021- 2031F |
6.2 Poland Computer Numerical Control (CNC) Machine Market, By Application |
6.2.1 Overview and Analysis |
6.2.2 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume, By Machinery Manufacturing, 2021- 2031F |
6.2.3 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume, By Automobiles, 2021- 2031F |
6.2.4 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume, By Electronics, 2021- 2031F |
6.2.5 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume, By Healthcare, 2021- 2031F |
6.2.6 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume, By Aerospace and Defense, 2021- 2031F |
6.3 Poland Computer Numerical Control (CNC) Machine Market, By End-Use |
6.3.1 Overview and Analysis |
6.3.2 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume, By Automotive, 2021- 2031F |
6.3.3 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume, By Aerospace and Defense, 2021- 2031F |
6.3.4 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume, By Construction Equipment, 2021- 2031F |
6.3.5 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume, By Power and Energy, 2021- 2031F |
6.3.6 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume, By Industrial, 2021- 2031F |
6.3.7 Poland Computer Numerical Control (CNC) Machine Market Revenues & Volume, By Others, 2021- 2031F |
7 Poland Computer Numerical Control (CNC) Machine Market Import-Export Trade Statistics |
7.1 Poland Computer Numerical Control (CNC) Machine Market Export to Major Countries |
7.2 Poland Computer Numerical Control (CNC) Machine Market Imports from Major Countries |
8 Poland Computer Numerical Control (CNC) Machine Market Key Performance Indicators |
8.1 Average machine utilization rate |
8.2 Rate of adoption of Industry 4.0 technologies in CNC machines |
8.3 Percentage of manufacturers investing in CNC training programs |
8.4 Number of CNC machine installations in key industries |
8.5 Rate of innovation in CNC machine features and capabilities |
9 Poland Computer Numerical Control (CNC) Machine Market - Opportunity Assessment |
9.1 Poland Computer Numerical Control (CNC) Machine Market Opportunity Assessment, By Type, 2021 & 2031F |
9.2 Poland Computer Numerical Control (CNC) Machine Market Opportunity Assessment, By Application, 2021 & 2031F |
9.3 Poland Computer Numerical Control (CNC) Machine Market Opportunity Assessment, By End-Use, 2021 & 2031F |
10 Poland Computer Numerical Control (CNC) Machine Market - Competitive Landscape |
10.1 Poland Computer Numerical Control (CNC) Machine Market Revenue Share, By Companies, 2024 |
10.2 Poland Computer Numerical Control (CNC) Machine 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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