| Product Code: ETC8034394 | Publication Date: Sep 2024 | Updated Date: Nov 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Sumit Sagar | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
In 2024, Lithuania saw a steady increase in aqueous polyurethane dispersion imports, with top exporters being Germany, Italy, Sweden, Poland, and Finland. The market remained relatively competitive with low concentration levels indicated by the Herfindahl-Hirschman Index (HHI). The compound annual growth rate (CAGR) from 2020 to 2024 was strong at 6.49%, showcasing a positive trend in market expansion. Additionally, the growth rate from 2023 to 2024 stood at 5.47%, indicating sustained momentum in import shipments of aqueous polyurethane dispersion into Lithuania.

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 Lithuania Aqueous Polyurethane Dispersion Market Overview |
3.1 Lithuania Country Macro Economic Indicators |
3.2 Lithuania Aqueous Polyurethane Dispersion Market Revenues & Volume, 2021 & 2031F |
3.3 Lithuania Aqueous Polyurethane Dispersion Market - Industry Life Cycle |
3.4 Lithuania Aqueous Polyurethane Dispersion Market - Porter's Five Forces |
3.5 Lithuania Aqueous Polyurethane Dispersion Market Revenues & Volume Share, By Product, 2021 & 2031F |
3.6 Lithuania Aqueous Polyurethane Dispersion Market Revenues & Volume Share, By Application, 2021 & 2031F |
4 Lithuania Aqueous Polyurethane Dispersion Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.3 Market Restraints |
5 Lithuania Aqueous Polyurethane Dispersion Market Trends |
6 Lithuania Aqueous Polyurethane Dispersion Market, By Types |
6.1 Lithuania Aqueous Polyurethane Dispersion Market, By Product |
6.1.1 Overview and Analysis |
6.1.2 Lithuania Aqueous Polyurethane Dispersion Market Revenues & Volume, By Product, 2021- 2031F |
6.1.3 Lithuania Aqueous Polyurethane Dispersion Market Revenues & Volume, By Component Polyurethane, 2021- 2031F |
6.1.4 Lithuania Aqueous Polyurethane Dispersion Market Revenues & Volume, By Two-component Polyurethane, 2021- 2031F |
6.1.5 Lithuania Aqueous Polyurethane Dispersion Market Revenues & Volume, By Urethane Modified, 2021- 2031F |
6.2 Lithuania Aqueous Polyurethane Dispersion Market, By Application |
6.2.1 Overview and Analysis |
6.2.2 Lithuania Aqueous Polyurethane Dispersion Market Revenues & Volume, By PUD Leather Finishing Agents, 2021- 2031F |
6.2.3 Lithuania Aqueous Polyurethane Dispersion Market Revenues & Volume, By PUD Coating Agents, 2021- 2031F |
6.2.4 Lithuania Aqueous Polyurethane Dispersion Market Revenues & Volume, By PUD Water-based Glue, 2021- 2031F |
6.2.5 Lithuania Aqueous Polyurethane Dispersion Market Revenues & Volume, By Waterborne Wood Coatings, 2021- 2031F |
6.2.6 Lithuania Aqueous Polyurethane Dispersion Market Revenues & Volume, By Water-based Paints, 2021- 2031F |
7 Lithuania Aqueous Polyurethane Dispersion Market Import-Export Trade Statistics |
7.1 Lithuania Aqueous Polyurethane Dispersion Market Export to Major Countries |
7.2 Lithuania Aqueous Polyurethane Dispersion Market Imports from Major Countries |
8 Lithuania Aqueous Polyurethane Dispersion Market Key Performance Indicators |
9 Lithuania Aqueous Polyurethane Dispersion Market - Opportunity Assessment |
9.1 Lithuania Aqueous Polyurethane Dispersion Market Opportunity Assessment, By Product, 2021 & 2031F |
9.2 Lithuania Aqueous Polyurethane Dispersion Market Opportunity Assessment, By Application, 2021 & 2031F |
10 Lithuania Aqueous Polyurethane Dispersion Market - Competitive Landscape |
10.1 Lithuania Aqueous Polyurethane Dispersion Market Revenue Share, By Companies, 2024 |
10.2 Lithuania Aqueous Polyurethane Dispersion 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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