| Product Code: ETC5175394 | Publication Date: Nov 2023 | Updated Date: Feb 2026 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Shubham Padhi | No. of Pages: 60 | No. of Figures: 30 | No. of Tables: 5 |
Serbia`s import trend for computer numerical control machines saw a decline in growth rate from 2023 to 2024 at -19.02%, despite a compound annual growth rate (CAGR) of 6.14% from 2020 to 2024. This decrease may be attributed to shifts in demand or changes in trade policies impacting the market dynamics.

In the Europe region, the Computer Numerical Control Machines market in Serbia is projected to expand at a exponential growth rate of 15.83% by 2027. The largest economy is Germany, followed by United Kingdom, France, Italy and Russia.

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 Machines Market Overview |
3.1 Serbia Country Macro Economic Indicators |
3.2 Serbia Computer Numerical Control Machines Market Revenues & Volume, 2021 & 2031F |
3.3 Serbia Computer Numerical Control Machines Market - Industry Life Cycle |
3.4 Serbia Computer Numerical Control Machines Market - Porter's Five Forces |
3.5 Serbia Computer Numerical Control Machines Market Revenues & Volume Share, By Type, 2021 & 2031F |
3.6 Serbia Computer Numerical Control Machines Market Revenues & Volume Share, By End-use, 2021 & 2031F |
4 Serbia Computer Numerical Control Machines Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing adoption of automation in manufacturing processes |
4.2.2 Growing demand for precision machining in industries like automotive, aerospace, and electronics |
4.2.3 Technological advancements leading to the development of more efficient CNC machines |
4.3 Market Restraints |
4.3.1 High initial investment and maintenance costs associated with CNC machines |
4.3.2 Shortage of skilled labor with expertise in operating CNC machines |
4.3.3 Economic uncertainties impacting capital expenditure decisions of businesses |
5 Serbia Computer Numerical Control Machines Market Trends |
6 Serbia Computer Numerical Control Machines Market Segmentations |
6.1 Serbia Computer Numerical Control Machines Market, By Type |
6.1.1 Overview and Analysis |
6.1.2 Serbia Computer Numerical Control Machines Market Revenues & Volume, By Lathe Machines, 2021-2031F |
6.1.3 Serbia Computer Numerical Control Machines Market Revenues & Volume, By Milling Machines, 2021-2031F |
6.1.4 Serbia Computer Numerical Control Machines Market Revenues & Volume, By Laser Machines, 2021-2031F |
6.1.5 Serbia Computer Numerical Control Machines Market Revenues & Volume, By Grinding Machines, 2021-2031F |
6.1.6 Serbia Computer Numerical Control Machines Market Revenues & Volume, By Welding Machines, 2021-2031F |
6.1.7 Serbia Computer Numerical Control Machines Market Revenues & Volume, By Winding Machines, 2021-2031F |
6.2 Serbia Computer Numerical Control Machines Market, By End-use |
6.2.1 Overview and Analysis |
6.2.2 Serbia Computer Numerical Control Machines Market Revenues & Volume, By Automotive, 2021-2031F |
6.2.3 Serbia Computer Numerical Control Machines Market Revenues & Volume, By Aerospace & Defense, 2021-2031F |
6.2.4 Serbia Computer Numerical Control Machines Market Revenues & Volume, By Construction Equipment, 2021-2031F |
6.2.5 Serbia Computer Numerical Control Machines Market Revenues & Volume, By Power & Energy, 2021-2031F |
6.2.6 Serbia Computer Numerical Control Machines Market Revenues & Volume, By Industrial, 2021-2031F |
6.2.7 Serbia Computer Numerical Control Machines Market Revenues & Volume, By Others, 2021-2031F |
7 Serbia Computer Numerical Control Machines Market Import-Export Trade Statistics |
7.1 Serbia Computer Numerical Control Machines Market Export to Major Countries |
7.2 Serbia Computer Numerical Control Machines Market Imports from Major Countries |
8 Serbia Computer Numerical Control Machines Market Key Performance Indicators |
8.1 Average machine utilization rate |
8.2 Percentage of CNC machines equipped with advanced features |
8.3 Rate of adoption of Industry 4.0 technologies in CNC machine operations |
9 Serbia Computer Numerical Control Machines Market - Opportunity Assessment |
9.1 Serbia Computer Numerical Control Machines Market Opportunity Assessment, By Type, 2021 & 2031F |
9.2 Serbia Computer Numerical Control Machines Market Opportunity Assessment, By End-use, 2021 & 2031F |
10 Serbia Computer Numerical Control Machines Market - Competitive Landscape |
10.1 Serbia Computer Numerical Control Machines Market Revenue Share, By Companies, 2024 |
10.2 Serbia Computer Numerical Control Machines 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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