| Product Code: ETC11929333 | Publication Date: Apr 2025 | Updated Date: Nov 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Bhawna Singh | No. of Pages: 65 | No. of Figures: 34 | No. of Tables: 19 |
Latvia`s import shipments of embedded non-volatile memory in 2024 continued to be dominated by key exporting countries such as Czechia, Germany, Netherlands, Poland, and Sweden. The high concentration of the Herfindahl-Hirschman Index (HHI) in 2023 intensified further in 2024, indicating a very high level of market concentration. However, the industry experienced a significant decline with a compound annual growth rate (CAGR) of -14.45% from 2020 to 2024 and a growth rate of -16.29% specifically in 2023-2024. These trends suggest a challenging market environment and potential shifts in industry dynamics that businesses in the sector should closely monitor.

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 Embedded Non-Volatile Memory Market Overview |
3.1 Latvia Country Macro Economic Indicators |
3.2 Latvia Embedded Non-Volatile Memory Market Revenues & Volume, 2021 & 2031F |
3.3 Latvia Embedded Non-Volatile Memory Market - Industry Life Cycle |
3.4 Latvia Embedded Non-Volatile Memory Market - Porter's Five Forces |
3.5 Latvia Embedded Non-Volatile Memory Market Revenues & Volume Share, By Product, 2021 & 2031F |
3.6 Latvia Embedded Non-Volatile Memory Market Revenues & Volume Share, By Wafer Size, 2021 & 2031F |
3.7 Latvia Embedded Non-Volatile Memory Market Revenues & Volume Share, By Industry Verticals, 2021 & 2031F |
4 Latvia Embedded Non-Volatile Memory Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing adoption of IoT devices and connected technologies driving demand for embedded non-volatile memory. |
4.2.2 Growth in the automotive sector, particularly in advanced driver-assistance systems (ADAS) and electric vehicles, fueling the need for embedded non-volatile memory. |
4.2.3 Expansion of the consumer electronics market, including smartphones, tablets, and wearables, boosting the demand for embedded non-volatile memory. |
4.3 Market Restraints |
4.3.1 High initial investment costs associated with the development and production of embedded non-volatile memory technologies. |
4.3.2 Rapid technological advancements leading to shorter product life cycles, posing challenges for market players in terms of staying competitive. |
5 Latvia Embedded Non-Volatile Memory Market Trends |
6 Latvia Embedded Non-Volatile Memory Market, By Types |
6.1 Latvia Embedded Non-Volatile Memory Market, By Product |
6.1.1 Overview and Analysis |
6.1.2 Latvia Embedded Non-Volatile Memory Market Revenues & Volume, By Product, 2021 - 2031F |
6.1.3 Latvia Embedded Non-Volatile Memory Market Revenues & Volume, By eFlash, 2021 - 2031F |
6.1.4 Latvia Embedded Non-Volatile Memory Market Revenues & Volume, By eE2PROM, 2021 - 2031F |
6.1.5 Latvia Embedded Non-Volatile Memory Market Revenues & Volume, By FRAM, 2021 - 2031F |
6.1.6 Latvia Embedded Non-Volatile Memory Market Revenues & Volume, By Others, 2021 - 2031F |
6.2 Latvia Embedded Non-Volatile Memory Market, By Wafer Size |
6.2.1 Overview and Analysis |
6.2.2 Latvia Embedded Non-Volatile Memory Market Revenues & Volume, By |
6.2.3 Latvia Embedded Non-Volatile Memory Market Revenues & Volume, By >100 mm, 2021 - 2031F |
6.3 Latvia Embedded Non-Volatile Memory Market, By Industry Verticals |
6.3.1 Overview and Analysis |
6.3.2 Latvia Embedded Non-Volatile Memory Market Revenues & Volume, By Consumer Electronics, 2021 - 2031F |
6.3.3 Latvia Embedded Non-Volatile Memory Market Revenues & Volume, By Automotive, 2021 - 2031F |
6.3.4 Latvia Embedded Non-Volatile Memory Market Revenues & Volume, By Information and Communication Sector,, 2021 - 2031F |
6.3.5 Latvia Embedded Non-Volatile Memory Market Revenues & Volume, By Robotics and Others, 2021 - 2031F |
7 Latvia Embedded Non-Volatile Memory Market Import-Export Trade Statistics |
7.1 Latvia Embedded Non-Volatile Memory Market Export to Major Countries |
7.2 Latvia Embedded Non-Volatile Memory Market Imports from Major Countries |
8 Latvia Embedded Non-Volatile Memory Market Key Performance Indicators |
8.1 Average read/write speeds of embedded non-volatile memory solutions. |
8.2 Endurance levels of embedded non-volatile memory devices. |
8.3 Adoption rate of new embedded non-volatile memory technologies in various industries. |
8.4 Percentage of embedded non-volatile memory products compliant with industry standards. |
8.5 Average time to market for new embedded non-volatile memory solutions. |
9 Latvia Embedded Non-Volatile Memory Market - Opportunity Assessment |
9.1 Latvia Embedded Non-Volatile Memory Market Opportunity Assessment, By Product, 2021 & 2031F |
9.2 Latvia Embedded Non-Volatile Memory Market Opportunity Assessment, By Wafer Size, 2021 & 2031F |
9.3 Latvia Embedded Non-Volatile Memory Market Opportunity Assessment, By Industry Verticals, 2021 & 2031F |
10 Latvia Embedded Non-Volatile Memory Market - Competitive Landscape |
10.1 Latvia Embedded Non-Volatile Memory Market Revenue Share, By Companies, 2024 |
10.2 Latvia Embedded Non-Volatile 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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