| Product Code: ETC5362285 | Publication Date: Nov 2023 | Updated Date: Dec 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 60 | No. of Figures: 30 | No. of Tables: 5 |
In 2024, Zambia continued to largely depend on modeling paste imports from top exporting countries such as South Africa, China, Egypt, Germany, and Switzerland. Despite a concerning high concentration with a high Herfindahl-Hirschman Index (HHI), the market experienced a negative compound annual growth rate (CAGR) of -4.47% from 2020 to 2024. The growth rate plummeted even further in 2024 with a sharp decline of -25.65%, indicating potential challenges and shifts in the modeling paste import market dynamics for Zambia.

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 Zambia Modeling Paste Market Overview |
3.1 Zambia Country Macro Economic Indicators |
3.2 Zambia Modeling Paste Market Revenues & Volume, 2021 & 2031F |
3.3 Zambia Modeling Paste Market - Industry Life Cycle |
3.4 Zambia Modeling Paste Market - Porter's Five Forces |
3.5 Zambia Modeling Paste Market Revenues & Volume Share, By Type, 2021 & 2031F |
3.6 Zambia Modeling Paste Market Revenues & Volume Share, By Application, 2021 & 2031F |
4 Zambia Modeling Paste Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for creative and artistic activities among the population |
4.2.2 Growing popularity of do-it-yourself (DIY) crafts and projects |
4.2.3 Rising disposable income leading to higher spending on hobby and art supplies |
4.3 Market Restraints |
4.3.1 Price volatility of raw materials used in modeling paste production |
4.3.2 Competition from alternative art and craft supplies |
4.3.3 Limited availability of specialized modeling paste variants in the market |
5 Zambia Modeling Paste Market Trends |
6 Zambia Modeling Paste Market Segmentations |
6.1 Zambia Modeling Paste Market, By Type |
6.1.1 Overview and Analysis |
6.1.2 Zambia Modeling Paste Market Revenues & Volume, By White, 2021-2031F |
6.1.3 Zambia Modeling Paste Market Revenues & Volume, By Red, 2021-2031F |
6.1.4 Zambia Modeling Paste Market Revenues & Volume, By Green, 2021-2031F |
6.1.5 Zambia Modeling Paste Market Revenues & Volume, By Black, 2021-2031F |
6.1.6 Zambia Modeling Paste Market Revenues & Volume, By Others, 2021-2031F |
6.2 Zambia Modeling Paste Market, By Application |
6.2.1 Overview and Analysis |
6.2.2 Zambia Modeling Paste Market Revenues & Volume, By Commercial, 2021-2031F |
6.2.3 Zambia Modeling Paste Market Revenues & Volume, By Residential, 2021-2031F |
7 Zambia Modeling Paste Market Import-Export Trade Statistics |
7.1 Zambia Modeling Paste Market Export to Major Countries |
7.2 Zambia Modeling Paste Market Imports from Major Countries |
8 Zambia Modeling Paste Market Key Performance Indicators |
8.1 Number of art and craft workshops or classes utilizing modeling paste |
8.2 Frequency of modeling paste usage in educational institutions for creative projects |
8.3 Engagement levels on social media platforms related to modeling paste tutorials and content |
9 Zambia Modeling Paste Market - Opportunity Assessment |
9.1 Zambia Modeling Paste Market Opportunity Assessment, By Type, 2021 & 2031F |
9.2 Zambia Modeling Paste Market Opportunity Assessment, By Application, 2021 & 2031F |
10 Zambia Modeling Paste Market - Competitive Landscape |
10.1 Zambia Modeling Paste Market Revenue Share, By Companies, 2024 |
10.2 Zambia 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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