| Product Code: ETC5362159 | Publication Date: Nov 2023 | Updated Date: Jan 2026 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 60 | No. of Figures: 30 | No. of Tables: 5 |
Armenia import trend for modeling paste experienced a -3.6% growth rate from 2023 to 2024, with a compound annual growth rate (CAGR) of 13.84% from 2020 to 2024. This decline in import momentum could be attributed to shifting consumer preferences or changes in trade policies affecting the market stability during this period.

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 Armenia Modeling Paste Market Overview |
3.1 Armenia Country Macro Economic Indicators |
3.2 Armenia Modeling Paste Market Revenues & Volume, 2021 & 2031F |
3.3 Armenia Modeling Paste Market - Industry Life Cycle |
3.4 Armenia Modeling Paste Market - Porter's Five Forces |
3.5 Armenia Modeling Paste Market Revenues & Volume Share, By Type, 2021 & 2031F |
3.6 Armenia Modeling Paste Market Revenues & Volume Share, By Application, 2021 & 2031F |
4 Armenia Modeling Paste Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Growing demand for artistic and creative activities in Armenia |
4.2.2 Increasing use of modeling paste in art and craft projects |
4.2.3 Rising disposable income leading to higher spending on hobby and DIY products |
4.3 Market Restraints |
4.3.1 Limited awareness about modeling paste and its applications in Armenia |
4.3.2 Availability of alternative art supplies impacting the market growth |
4.3.3 Economic uncertainties affecting consumer spending on non-essential products |
5 Armenia Modeling Paste Market Trends |
6 Armenia Modeling Paste Market Segmentations |
6.1 Armenia Modeling Paste Market, By Type |
6.1.1 Overview and Analysis |
6.1.2 Armenia Modeling Paste Market Revenues & Volume, By White, 2021-2031F |
6.1.3 Armenia Modeling Paste Market Revenues & Volume, By Red, 2021-2031F |
6.1.4 Armenia Modeling Paste Market Revenues & Volume, By Green, 2021-2031F |
6.1.5 Armenia Modeling Paste Market Revenues & Volume, By Black, 2021-2031F |
6.1.6 Armenia Modeling Paste Market Revenues & Volume, By Others, 2021-2031F |
6.2 Armenia Modeling Paste Market, By Application |
6.2.1 Overview and Analysis |
6.2.2 Armenia Modeling Paste Market Revenues & Volume, By Commercial, 2021-2031F |
6.2.3 Armenia Modeling Paste Market Revenues & Volume, By Residential, 2021-2031F |
7 Armenia Modeling Paste Market Import-Export Trade Statistics |
7.1 Armenia Modeling Paste Market Export to Major Countries |
7.2 Armenia Modeling Paste Market Imports from Major Countries |
8 Armenia Modeling Paste Market Key Performance Indicators |
8.1 Number of art and craft workshops using modeling paste |
8.2 Frequency of exhibitions and events featuring modeling paste products |
8.3 Engagement on social media platforms showcasing modeling paste art techniques |
9 Armenia Modeling Paste Market - Opportunity Assessment |
9.1 Armenia Modeling Paste Market Opportunity Assessment, By Type, 2021 & 2031F |
9.2 Armenia Modeling Paste Market Opportunity Assessment, By Application, 2021 & 2031F |
10 Armenia Modeling Paste Market - Competitive Landscape |
10.1 Armenia Modeling Paste Market Revenue Share, By Companies, 2024 |
10.2 Armenia 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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