| Product Code: ETC5884373 | Publication Date: Nov 2023 | Updated Date: Oct 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 60 | No. of Figures: 30 | No. of Tables: 5 |
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 Montenegro Smart Parking Market Overview |
3.1 Montenegro Country Macro Economic Indicators |
3.2 Montenegro Smart Parking Market Revenues & Volume, 2021 & 2031F |
3.3 Montenegro Smart Parking Market - Industry Life Cycle |
3.4 Montenegro Smart Parking Market - Porter's Five Forces |
3.5 Montenegro Smart Parking Market Revenues & Volume Share, By System, 2021 & 2031F |
3.6 Montenegro Smart Parking Market Revenues & Volume Share, By Technology, 2021 & 2031F |
3.7 Montenegro Smart Parking Market Revenues & Volume Share, By Parking Management Solution, 2021 & 2031F |
4 Montenegro Smart Parking Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing urbanization and population density in Montenegro leading to higher demand for efficient parking solutions. |
4.2.2 Government initiatives to promote smart city projects, including smart parking systems in Montenegro. |
4.2.3 Growing adoption of connected vehicles and Internet of Things (IoT) technology, driving the need for smart parking solutions. |
4.3 Market Restraints |
4.3.1 High initial investment costs associated with implementing smart parking systems in Montenegro. |
4.3.2 Lack of standardized regulations and guidelines for smart parking solutions in the country. |
4.3.3 Resistance to change and lack of awareness among consumers about the benefits of smart parking technology. |
5 Montenegro Smart Parking Market Trends |
6 Montenegro Smart Parking Market Segmentations |
6.1 Montenegro Smart Parking Market, By System |
6.1.1 Overview and Analysis |
6.1.2 Montenegro Smart Parking Market Revenues & Volume, By Guided & Smart Park, 2021-2031F |
6.2 Montenegro Smart Parking Market, By Technology |
6.2.1 Overview and Analysis |
6.2.2 Montenegro Smart Parking Market Revenues & Volume, By Ultrasonic, 2021-2031F |
6.2.3 Montenegro Smart Parking Market Revenues & Volume, By Radar, 2021-2031F |
6.2.4 Montenegro Smart Parking Market Revenues & Volume, By Image, 2021-2031F |
6.3 Montenegro Smart Parking Market, By Parking Management Solution |
6.3.1 Overview and Analysis |
6.3.2 Montenegro Smart Parking Market Revenues & Volume, By Security & Surveillance, 2021-2031F |
6.3.3 Montenegro Smart Parking Market Revenues & Volume, By Valet & Parking Reservation, 2021-2031F |
6.3.4 Montenegro Smart Parking Market Revenues & Volume, By License Plate Recognition, 2021-2031F |
7 Montenegro Smart Parking Market Import-Export Trade Statistics |
7.1 Montenegro Smart Parking Market Export to Major Countries |
7.2 Montenegro Smart Parking Market Imports from Major Countries |
8 Montenegro Smart Parking Market Key Performance Indicators |
8.1 Average occupancy rate of smart parking spaces in Montenegro. |
8.2 Percentage increase in the use of mobile apps for parking payments. |
8.3 Number of smart parking installations in key cities of Montenegro. |
8.4 Average time saved by drivers using smart parking systems. |
8.5 Percentage reduction in carbon emissions due to optimized parking space utilization. |
9 Montenegro Smart Parking Market - Opportunity Assessment |
9.1 Montenegro Smart Parking Market Opportunity Assessment, By System, 2021 & 2031F |
9.2 Montenegro Smart Parking Market Opportunity Assessment, By Technology, 2021 & 2031F |
9.3 Montenegro Smart Parking Market Opportunity Assessment, By Parking Management Solution, 2021 & 2031F |
10 Montenegro Smart Parking Market - Competitive Landscape |
10.1 Montenegro Smart Parking Market Revenue Share, By Companies, 2024 |
10.2 Montenegro Smart Parking 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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