| Product Code: ETC5314552 | Publication Date: Nov 2023 | Updated Date: Feb 2026 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 60 | No. of Figures: 30 | No. of Tables: 5 |
From 2023 to 2024, Benin`s import trend for roofing underlay experienced a decline of -20.29%. However, the compound annual growth rate (CAGR) for the period 2020-2024 stood at 21.55%. This fluctuation may have been influenced by changes in demand dynamics or shifts in trade policies affecting the market.

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 Benin Roofing Underlay Market Overview |
3.1 Benin Country Macro Economic Indicators |
3.2 Benin Roofing Underlay Market Revenues & Volume, 2022 & 2032F |
3.3 Benin Roofing Underlay Market - Industry Life Cycle |
3.4 Benin Roofing Underlay Market - Porter's Five Forces |
3.5 Benin Roofing Underlay Market Revenues & Volume Share, By Product, 2022 & 2032F |
3.6 Benin Roofing Underlay Market Revenues & Volume Share, By Application, 2022 & 2032F |
4 Benin Roofing Underlay Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Growth in the construction industry in Benin |
4.2.2 Increasing awareness about the importance of roofing underlays for protecting buildings |
4.2.3 Implementation of building codes and regulations promoting the use of quality roofing materials |
4.3 Market Restraints |
4.3.1 Volatility in raw material prices |
4.3.2 Lack of skilled labor for proper installation of roofing underlays |
4.3.3 Competition from alternative roofing materials |
5 Benin Roofing Underlay Market Trends |
6 Benin Roofing Underlay Market Segmentations |
6.1 Benin Roofing Underlay Market, By Product |
6.1.1 Overview and Analysis |
6.1.2 Benin Roofing Underlay Market Revenues & Volume, By Asphalt-saturated felt, 2022-2032F |
6.1.3 Benin Roofing Underlay Market Revenues & Volume, By Rubberized asphalt, 2022-2032F |
6.1.4 Benin Roofing Underlay Market Revenues & Volume, By Non-bitumen synthetic, 2022-2032F |
6.2 Benin Roofing Underlay Market, By Application |
6.2.1 Overview and Analysis |
6.2.2 Benin Roofing Underlay Market Revenues & Volume, By Residential construction, 2022-2032F |
6.2.3 Benin Roofing Underlay Market Revenues & Volume, By Non-residential construction, 2022-2032F |
7 Benin Roofing Underlay Market Import-Export Trade Statistics |
7.1 Benin Roofing Underlay Market Export to Major Countries |
7.2 Benin Roofing Underlay Market Imports from Major Countries |
8 Benin Roofing Underlay Market Key Performance Indicators |
8.1 Average lifespan of roofing underlays in Benin |
8.2 Number of construction permits issued in Benin |
8.3 Adoption rate of roofing underlays in new construction projects |
9 Benin Roofing Underlay Market - Opportunity Assessment |
9.1 Benin Roofing Underlay Market Opportunity Assessment, By Product, 2022 & 2032F |
9.2 Benin Roofing Underlay Market Opportunity Assessment, By Application, 2022 & 2032F |
10 Benin Roofing Underlay Market - Competitive Landscape |
10.1 Benin Roofing Underlay Market Revenue Share, By Companies, 2025 |
10.2 Benin Roofing Underlay 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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