| Product Code: ETC9206054 | 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 |
Serbia`s import trend for computer numerical control (CNC) machines experienced a decline from 2023 to 2024, with a growth rate of -19.02%. However, the compound annual growth rate (CAGR) for the period 2020-2024 stood at 6.14%. This decrease in import growth may be attributed to shifts in demand dynamics or potential changes in trade policies impacting the market.

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