| Product Code: ETC5687652 | 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 |
In 2024, Lithuania experienced a significant decrease in eye makeup import shipments, with top exporters being Poland, Italy, Germany, Latvia, and Czechia. The Herfindahl-Hirschman Index (HHI) indicated a shift from moderate to low concentration, suggesting a more diversified market. The compound annual growth rate (CAGR) from 2020 to 2024 was -9.39%, reflecting a challenging period for the industry. Furthermore, the steep decline in growth rate from 2023 to 2024 at -46.26% highlights the impact of various factors affecting the import market for eye makeup in 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 Eye Makeup Market Overview |
3.1 Lithuania Country Macro Economic Indicators |
3.2 Lithuania Eye Makeup Market Revenues & Volume, 2021 & 2031F |
3.3 Lithuania Eye Makeup Market - Industry Life Cycle |
3.4 Lithuania Eye Makeup Market - Porter's Five Forces |
3.5 Lithuania Eye Makeup Market Revenues & Volume Share, By Product Type, 2021 & 2031F |
3.6 Lithuania Eye Makeup Market Revenues & Volume Share, By Distribution Channel, 2021 & 2031F |
4 Lithuania Eye Makeup Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing disposable income of consumers in Lithuania |
4.2.2 Growing beauty and cosmetics industry in the region |
4.2.3 Rising trend of social media influencing makeup trends |
4.3 Market Restraints |
4.3.1 High competition among eye makeup brands in Lithuania |
4.3.2 Economic uncertainty impacting consumer spending on cosmetics |
5 Lithuania Eye Makeup Market Trends |
6 Lithuania Eye Makeup Market Segmentations |
6.1 Lithuania Eye Makeup Market, By Product Type |
6.1.1 Overview and Analysis |
6.1.2 Lithuania Eye Makeup Market Revenues & Volume, By Mascara, 2021-2031F |
6.1.3 Lithuania Eye Makeup Market Revenues & Volume, By Shadow, 2021-2031F |
6.1.4 Lithuania Eye Makeup Market Revenues & Volume, By Liner, 2021-2031F |
6.1.5 Lithuania Eye Makeup Market Revenues & Volume, By Pencil, 2021-2031F |
6.1.6 Lithuania Eye Makeup Market Revenues & Volume, By Brow, 2021-2031F |
6.1.7 Lithuania Eye Makeup Market Revenues & Volume, By Others, 2021-2031F |
6.2 Lithuania Eye Makeup Market, By Distribution Channel |
6.2.1 Overview and Analysis |
6.2.2 Lithuania Eye Makeup Market Revenues & Volume, By Online, 2021-2031F |
6.2.3 Lithuania Eye Makeup Market Revenues & Volume, By Offline, 2021-2031F |
7 Lithuania Eye Makeup Market Import-Export Trade Statistics |
7.1 Lithuania Eye Makeup Market Export to Major Countries |
7.2 Lithuania Eye Makeup Market Imports from Major Countries |
8 Lithuania Eye Makeup Market Key Performance Indicators |
8.1 Number of new eye makeup product launches in Lithuania |
8.2 Social media engagement and reach of eye makeup brands in the market |
8.3 Consumer satisfaction and loyalty towards eye makeup products in Lithuania |
9 Lithuania Eye Makeup Market - Opportunity Assessment |
9.1 Lithuania Eye Makeup Market Opportunity Assessment, By Product Type, 2021 & 2031F |
9.2 Lithuania Eye Makeup Market Opportunity Assessment, By Distribution Channel, 2021 & 2031F |
10 Lithuania Eye Makeup Market - Competitive Landscape |
10.1 Lithuania Eye Makeup Market Revenue Share, By Companies, 2024 |
10.2 Lithuania Eye Makeup 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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