| Product Code: ETC5517678 | 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 saw a steady growth in casual pants import shipments with top exporting countries being Poland, Germany, Spain, Netherlands, and Italy. The market showed moderate concentration with a stable HHI index. Despite a slight decline in growth rate from 2023 to 2024, the compound annual growth rate (CAGR) over the period of 2020-2024 remained positive at 2.66%. This indicates a consistent demand for casual pants in Lithuania and a strong presence of key exporting countries in 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 Lithuania Casual Pants Market Overview |
3.1 Lithuania Country Macro Economic Indicators |
3.2 Lithuania Casual Pants Market Revenues & Volume, 2021 & 2031F |
3.3 Lithuania Casual Pants Market - Industry Life Cycle |
3.4 Lithuania Casual Pants Market - Porter's Five Forces |
3.5 Lithuania Casual Pants Market Revenues & Volume Share, By Type, 2021 & 2031F |
3.6 Lithuania Casual Pants Market Revenues & Volume Share, By ? |
4 Lithuania Casual Pants Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for comfortable and versatile clothing options |
4.2.2 Growing focus on casual work attire and leisurewear |
4.2.3 Rising trend of athleisure fashion |
4.3 Market Restraints |
4.3.1 Economic uncertainty impacting consumer spending |
4.3.2 Competition from other apparel categories like activewear and loungewear |
5 Lithuania Casual Pants Market Trends |
6 Lithuania Casual Pants Market Segmentations |
6.1 Lithuania Casual Pants Market, By Type |
6.1.1 Overview and Analysis |
6.1.2 Lithuania Casual Pants Market Revenues & Volume, By Men's Pant, 2021-2031F |
6.1.3 Lithuania Casual Pants Market Revenues & Volume, By Women's Pants, 2021-2031F |
6.2 Lithuania Casual Pants Market, By ? |
6.2.1 Overview and Analysis |
6.2.2 Lithuania Casual Pants Market Revenues & Volume, By ?? ?? ? ? |
6.2.3 Lithuania Casual Pants Market Revenues & Volume, By ?? u?? ? rm? rk? t & ??? ll, 2021-2031F |
6.2.4 Lithuania Casual Pants Market Revenues & Volume, By ??-? |
7 Lithuania Casual Pants Market Import-Export Trade Statistics |
7.1 Lithuania Casual Pants Market Export to Major Countries |
7.2 Lithuania Casual Pants Market Imports from Major Countries |
8 Lithuania Casual Pants Market Key Performance Indicators |
8.1 Average selling price of casual pants |
8.2 Number of new product launches in the casual pants segment |
8.3 Social media engagement and influencer partnerships for casual pants brands |
9 Lithuania Casual Pants Market - Opportunity Assessment |
9.1 Lithuania Casual Pants Market Opportunity Assessment, By Type, 2021 & 2031F |
9.2 Lithuania Casual Pants Market Opportunity Assessment, By ? |
10 Lithuania Casual Pants Market - Competitive Landscape |
10.1 Lithuania Casual Pants Market Revenue Share, By Companies, 2024 |
10.2 Lithuania Casual Pants 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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