| Product Code: ETC5362154 | 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 Afghanistan Modeling Paste Market Overview |
3.1 Afghanistan Country Macro Economic Indicators |
3.2 Afghanistan Modeling Paste Market Revenues & Volume, 2021 & 2031F |
3.3 Afghanistan Modeling Paste Market - Industry Life Cycle |
3.4 Afghanistan Modeling Paste Market - Porter's Five Forces |
3.5 Afghanistan Modeling Paste Market Revenues & Volume Share, By Type, 2021 & 2031F |
3.6 Afghanistan Modeling Paste Market Revenues & Volume Share, By Application, 2021 & 2031F |
4 Afghanistan Modeling Paste Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Growing demand for artistic and creative activities in Afghanistan |
4.2.2 Increasing disposable income of consumers |
4.2.3 Rising popularity of do-it-yourself (DIY) projects among individuals and communities |
4.2.4 Growth of social media platforms promoting art and crafts |
4.2.5 Expansion of the education sector emphasizing on art and design subjects |
4.3 Market Restraints |
4.3.1 Limited awareness about modeling paste as an art material in Afghanistan |
4.3.2 High import costs leading to expensive pricing for modeling paste products |
4.3.3 Lack of distribution channels in remote regions of Afghanistan |
4.3.4 Cultural barriers impacting the acceptance and adoption of art supplies |
4.3.5 Political instability affecting overall consumer confidence and spending |
5 Afghanistan Modeling Paste Market Trends |
6 Afghanistan Modeling Paste Market Segmentations |
6.1 Afghanistan Modeling Paste Market, By Type |
6.1.1 Overview and Analysis |
6.1.2 Afghanistan Modeling Paste Market Revenues & Volume, By White, 2021-2031F |
6.1.3 Afghanistan Modeling Paste Market Revenues & Volume, By Red, 2021-2031F |
6.1.4 Afghanistan Modeling Paste Market Revenues & Volume, By Green, 2021-2031F |
6.1.5 Afghanistan Modeling Paste Market Revenues & Volume, By Black, 2021-2031F |
6.1.6 Afghanistan Modeling Paste Market Revenues & Volume, By Others, 2021-2031F |
6.2 Afghanistan Modeling Paste Market, By Application |
6.2.1 Overview and Analysis |
6.2.2 Afghanistan Modeling Paste Market Revenues & Volume, By Commercial, 2021-2031F |
6.2.3 Afghanistan Modeling Paste Market Revenues & Volume, By Residential, 2021-2031F |
7 Afghanistan Modeling Paste Market Import-Export Trade Statistics |
7.1 Afghanistan Modeling Paste Market Export to Major Countries |
7.2 Afghanistan Modeling Paste Market Imports from Major Countries |
8 Afghanistan Modeling Paste Market Key Performance Indicators |
8.1 Number of art and craft workshops or events conducted in Afghanistan |
8.2 Engagement rate on social media posts related to modeling paste and art projects |
8.3 Percentage increase in the number of art students enrolled in educational institutions |
8.4 Average time spent on DIY and craft-related content online |
8.5 Number of new entrants or expansions in the modeling paste market in Afghanistan |
9 Afghanistan Modeling Paste Market - Opportunity Assessment |
9.1 Afghanistan Modeling Paste Market Opportunity Assessment, By Type, 2021 & 2031F |
9.2 Afghanistan Modeling Paste Market Opportunity Assessment, By Application, 2021 & 2031F |
10 Afghanistan Modeling Paste Market - Competitive Landscape |
10.1 Afghanistan Modeling Paste Market Revenue Share, By Companies, 2024 |
10.2 Afghanistan Modeling Paste 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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