| Product Code: ETC4659709 | Publication Date: Nov 2023 | Updated Date: Nov 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Shubham Padhi | No. of Pages: 60 | No. of Figures: 30 | No. of Tables: 5 |
Latvia`s computer memory import shipments in 2024 show a shift towards higher concentration, with top exporters being Taiwan, Czechia, Poland, Germany, and China. The market experienced a significant decline in CAGR and growth rate from 2023 to 2024. This suggests a challenging environment for computer memory imports in Latvia, with potential implications for market dynamics and competition among key exporting countries. Stakeholders should closely monitor these trends to make informed strategic decisions in this evolving market landscape.

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 Latvia Computer Memory Market Overview |
3.1 Latvia Country Macro Economic Indicators |
3.2 Latvia Computer Memory Market Revenues & Volume, 2021 & 2031F |
3.3 Latvia Computer Memory Market - Industry Life Cycle |
3.4 Latvia Computer Memory Market - Porter's Five Forces |
3.5 Latvia Computer Memory Market Revenues & Volume Share, By Product Types, 2021 & 2031F |
3.6 Latvia Computer Memory Market Revenues & Volume Share, By Applications, 2021 & 2031F |
4 Latvia Computer Memory Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for high-performance computing systems |
4.2.2 Growing adoption of cloud computing and big data analytics |
4.2.3 Technological advancements leading to higher memory requirements in devices |
4.3 Market Restraints |
4.3.1 Price volatility of memory chips |
4.3.2 Competition from alternative storage solutions |
4.3.3 Fluctuations in raw material prices affecting production costs |
5 Latvia Computer Memory Market Trends |
6 Latvia Computer Memory Market Segmentations |
6.1 Latvia Computer Memory Market, By Product Types |
6.1.1 Overview and Analysis |
6.1.2 Latvia Computer Memory Market Revenues & Volume, By Random Access Memory, 2021-2031F |
6.1.3 Latvia Computer Memory Market Revenues & Volume, By Read-only Memory, 2021-2031F |
6.2 Latvia Computer Memory Market, By Applications |
6.2.1 Overview and Analysis |
6.2.2 Latvia Computer Memory Market Revenues & Volume, By Computer Manufacturing, 2021-2031F |
6.2.3 Latvia Computer Memory Market Revenues & Volume, By Commercial, 2021-2031F |
7 Latvia Computer Memory Market Import-Export Trade Statistics |
7.1 Latvia Computer Memory Market Export to Major Countries |
7.2 Latvia Computer Memory Market Imports from Major Countries |
8 Latvia Computer Memory Market Key Performance Indicators |
8.1 Average selling price (ASP) of computer memory products |
8.2 Adoption rate of DDR5 memory technology in the market |
8.3 Percentage of market share held by top memory manufacturers |
8.4 Number of new product launches in the computer memory segment |
8.5 Rate of adoption of artificial intelligence and machine learning applications requiring high memory capacity |
9 Latvia Computer Memory Market - Opportunity Assessment |
9.1 Latvia Computer Memory Market Opportunity Assessment, By Product Types, 2021 & 2031F |
9.2 Latvia Computer Memory Market Opportunity Assessment, By Applications, 2021 & 2031F |
10 Latvia Computer Memory Market - Competitive Landscape |
10.1 Latvia Computer Memory Market Revenue Share, By Companies, 2024 |
10.2 Latvia Computer Memory 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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