| Product Code: ETC8380770 | Publication Date: Sep 2024 | Updated Date: Oct 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Summon Dutta | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
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 Augmented Shopping Market Overview |
3.1 Montenegro Country Macro Economic Indicators |
3.2 Montenegro Augmented Shopping Market Revenues & Volume, 2021 & 2031F |
3.3 Montenegro Augmented Shopping Market - Industry Life Cycle |
3.4 Montenegro Augmented Shopping Market - Porter's Five Forces |
3.5 Montenegro Augmented Shopping Market Revenues & Volume Share, By Component, 2021 & 2031F |
3.6 Montenegro Augmented Shopping Market Revenues & Volume Share, By Application, 2021 & 2031F |
4 Montenegro Augmented Shopping Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing adoption of smartphones and internet connectivity in Montenegro |
4.2.2 Growing interest in augmented reality (AR) technology for shopping experiences |
4.2.3 Rising demand for personalized and immersive shopping experiences |
4.3 Market Restraints |
4.3.1 Limited awareness and understanding of augmented shopping technology among consumers |
4.3.2 High costs associated with implementing AR solutions for retailers |
4.3.3 Concerns regarding data privacy and security in augmented shopping experiences |
5 Montenegro Augmented Shopping Market Trends |
6 Montenegro Augmented Shopping Market, By Types |
6.1 Montenegro Augmented Shopping Market, By Component |
6.1.1 Overview and Analysis |
6.1.2 Montenegro Augmented Shopping Market Revenues & Volume, By Component, 2021- 2031F |
6.1.3 Montenegro Augmented Shopping Market Revenues & Volume, By Solutions, 2021- 2031F |
6.1.4 Montenegro Augmented Shopping Market Revenues & Volume, By Services, 2021- 2031F |
6.2 Montenegro Augmented Shopping Market, By Application |
6.2.1 Overview and Analysis |
6.2.2 Montenegro Augmented Shopping Market Revenues & Volume, By Automotive, 2021- 2031F |
6.2.3 Montenegro Augmented Shopping Market Revenues & Volume, By Home Goods & Furniture, 2021- 2031F |
6.2.4 Montenegro Augmented Shopping Market Revenues & Volume, By Beauty & Cosmetics, 2021- 2031F |
6.2.5 Montenegro Augmented Shopping Market Revenues & Volume, By Apparel Fittings, 2021- 2031F |
6.2.6 Montenegro Augmented Shopping Market Revenues & Volume, By Grocery Shopping, 2021- 2031F |
6.2.7 Montenegro Augmented Shopping Market Revenues & Volume, By Footwear, 2021- 2031F |
7 Montenegro Augmented Shopping Market Import-Export Trade Statistics |
7.1 Montenegro Augmented Shopping Market Export to Major Countries |
7.2 Montenegro Augmented Shopping Market Imports from Major Countries |
8 Montenegro Augmented Shopping Market Key Performance Indicators |
8.1 Average session duration on augmented shopping platforms |
8.2 Percentage of repeat users on AR shopping apps |
8.3 Customer satisfaction scores for AR-enhanced shopping experiences |
9 Montenegro Augmented Shopping Market - Opportunity Assessment |
9.1 Montenegro Augmented Shopping Market Opportunity Assessment, By Component, 2021 & 2031F |
9.2 Montenegro Augmented Shopping Market Opportunity Assessment, By Application, 2021 & 2031F |
10 Montenegro Augmented Shopping Market - Competitive Landscape |
10.1 Montenegro Augmented Shopping Market Revenue Share, By Companies, 2024 |
10.2 Montenegro Augmented Shopping 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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