| Product Code: ETC12000762 | Publication Date: Apr 2025 | Updated Date: Nov 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Sachin Kumar Rai | No. of Pages: 65 | No. of Figures: 34 | No. of Tables: 19 |
The dried soups import market in Lithuania continued to show strong concentration in 2024, with top exporting countries being Spain, Poland, Slovakia, Latvia, and Germany. The Herfindahl-Hirschman Index (HHI) remained at high levels, indicating a competitive market landscape. The compound annual growth rate (CAGR) from 2020 to 2024 was 1.31%, demonstrating steady growth over the period. Additionally, the growth rate from 2023 to 2024 was 3.14%, suggesting an increasing demand for dried soups in Lithuania. Overall, the market for dried soups imports in Lithuania appears to be stable and growing gradually.

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 Dried Soups Market Overview |
3.1 Lithuania Country Macro Economic Indicators |
3.2 Lithuania Dried Soups Market Revenues & Volume, 2021 & 2031F |
3.3 Lithuania Dried Soups Market - Industry Life Cycle |
3.4 Lithuania Dried Soups Market - Porter's Five Forces |
3.5 Lithuania Dried Soups Market Revenues & Volume Share, By Type, 2021 & 2031F |
3.6 Lithuania Dried Soups Market Revenues & Volume Share, By Application, 2021 & 2031F |
3.7 Lithuania Dried Soups Market Revenues & Volume Share, By Distribution Channel, 2021 & 2031F |
4 Lithuania Dried Soups Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.3 Market Restraints |
5 Lithuania Dried Soups Market Trends |
6 Lithuania Dried Soups Market, By Types |
6.1 Lithuania Dried Soups Market, By Type |
6.1.1 Overview and Analysis |
6.1.2 Lithuania Dried Soups Market Revenues & Volume, By Type, 2021 - 2031F |
6.1.3 Lithuania Dried Soups Market Revenues & Volume, By Instant Soups, 2021 - 2031F |
6.1.4 Lithuania Dried Soups Market Revenues & Volume, By Dehydrated Soups, 2021 - 2031F |
6.2 Lithuania Dried Soups Market, By Application |
6.2.1 Overview and Analysis |
6.2.2 Lithuania Dried Soups Market Revenues & Volume, By Household Consumption, 2021 - 2031F |
6.2.3 Lithuania Dried Soups Market Revenues & Volume, By Food Service, 2021 - 2031F |
6.3 Lithuania Dried Soups Market, By Distribution Channel |
6.3.1 Overview and Analysis |
6.3.2 Lithuania Dried Soups Market Revenues & Volume, By Supermarkets & Hypermarkets, 2021 - 2031F |
6.3.3 Lithuania Dried Soups Market Revenues & Volume, By Online Retail, 2021 - 2031F |
6.3.4 Lithuania Dried Soups Market Revenues & Volume, By Convenience Stores, 2021 - 2031F |
7 Lithuania Dried Soups Market Import-Export Trade Statistics |
7.1 Lithuania Dried Soups Market Export to Major Countries |
7.2 Lithuania Dried Soups Market Imports from Major Countries |
8 Lithuania Dried Soups Market Key Performance Indicators |
9 Lithuania Dried Soups Market - Opportunity Assessment |
9.1 Lithuania Dried Soups Market Opportunity Assessment, By Type, 2021 & 2031F |
9.2 Lithuania Dried Soups Market Opportunity Assessment, By Application, 2021 & 2031F |
9.3 Lithuania Dried Soups Market Opportunity Assessment, By Distribution Channel, 2021 & 2031F |
10 Lithuania Dried Soups Market - Competitive Landscape |
10.1 Lithuania Dried Soups Market Revenue Share, By Companies, 2024 |
10.2 Lithuania Dried Soups 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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