| Product Code: ETC5362177 | Publication Date: Nov 2023 | Updated Date: Nov 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 60 | No. of Figures: 30 | No. of Tables: 5 |
Despite a decline in the growth rate from 2023 to 2024, Cape Verde continues to witness a high concentration of modeling paste import shipments, with Portugal, United States of America, Spain, China, and Lebanon leading the way. The consistently high Herfindahl-Hirschman Index (HHI) indicates a strong market dominance among these top exporting countries. The negative CAGR from 2020 to 2024 suggests a challenging market environment, but the presence of key players from diverse regions signifies a steady flow of modeling paste imports into Cape Verde.

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 Cape Verde Modeling Paste Market Overview |
3.1 Cape Verde Country Macro Economic Indicators |
3.2 Cape Verde Modeling Paste Market Revenues & Volume, 2021 & 2031F |
3.3 Cape Verde Modeling Paste Market - Industry Life Cycle |
3.4 Cape Verde Modeling Paste Market - Porter's Five Forces |
3.5 Cape Verde Modeling Paste Market Revenues & Volume Share, By Type, 2021 & 2031F |
3.6 Cape Verde Modeling Paste Market Revenues & Volume Share, By Application, 2021 & 2031F |
4 Cape Verde Modeling Paste Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing consumer demand for creative cake decorations and edible art projects |
4.2.2 Growing popularity of baking and cake decorating as a hobby and profession |
4.2.3 Rise in disposable income levels leading to higher spending on specialty baking products |
4.3 Market Restraints |
4.3.1 Fluctuating prices of raw materials used in modeling paste production |
4.3.2 Intense competition from substitute products such as fondant and marzipan |
4.3.3 Challenges in maintaining product quality and consistency due to variations in environmental factors |
5 Cape Verde Modeling Paste Market Trends |
6 Cape Verde Modeling Paste Market Segmentations |
6.1 Cape Verde Modeling Paste Market, By Type |
6.1.1 Overview and Analysis |
6.1.2 Cape Verde Modeling Paste Market Revenues & Volume, By White, 2021-2031F |
6.1.3 Cape Verde Modeling Paste Market Revenues & Volume, By Red, 2021-2031F |
6.1.4 Cape Verde Modeling Paste Market Revenues & Volume, By Green, 2021-2031F |
6.1.5 Cape Verde Modeling Paste Market Revenues & Volume, By Black, 2021-2031F |
6.1.6 Cape Verde Modeling Paste Market Revenues & Volume, By Others, 2021-2031F |
6.2 Cape Verde Modeling Paste Market, By Application |
6.2.1 Overview and Analysis |
6.2.2 Cape Verde Modeling Paste Market Revenues & Volume, By Commercial, 2021-2031F |
6.2.3 Cape Verde Modeling Paste Market Revenues & Volume, By Residential, 2021-2031F |
7 Cape Verde Modeling Paste Market Import-Export Trade Statistics |
7.1 Cape Verde Modeling Paste Market Export to Major Countries |
7.2 Cape Verde Modeling Paste Market Imports from Major Countries |
8 Cape Verde Modeling Paste Market Key Performance Indicators |
8.1 Customer engagement on social media platforms through likes, shares, and comments on modeling paste-related content |
8.2 Number of new product launches and innovations in the modeling paste market |
8.3 Participation and attendance at cake decorating and baking workshops and events in Cape Verde |
9 Cape Verde Modeling Paste Market - Opportunity Assessment |
9.1 Cape Verde Modeling Paste Market Opportunity Assessment, By Type, 2021 & 2031F |
9.2 Cape Verde Modeling Paste Market Opportunity Assessment, By Application, 2021 & 2031F |
10 Cape Verde Modeling Paste Market - Competitive Landscape |
10.1 Cape Verde Modeling Paste Market Revenue Share, By Companies, 2024 |
10.2 Cape Verde 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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