| Product Code: ETC9566171 | Publication Date: Sep 2024 | Updated Date: Nov 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Summon Dutta | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
Sweden saw a significant shift in the import landscape for static random-access memory (SRAM) field programmable gate arrays in 2024, with top exporters including the Netherlands, Germany, and Belgium. The market concentration, as measured by the Herfindahl-Hirschman Index (HHI), escalated from moderate to high levels within a year. The compound annual growth rate (CAGR) for the period 2020-2024 was -3.05%, with a notable decline of -43.01% in the growth rate from 2023 to 2024. These fluctuations indicate a dynamic market environment with evolving trade patterns and challenges.
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 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Overview |
3.1 Sweden Country Macro Economic Indicators |
3.2 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, 2021 & 2031F |
3.3 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market - Industry Life Cycle |
3.4 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market - Porter's Five Forces |
3.5 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume Share, By Configuration, 2021 & 2031F |
3.6 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume Share, By Node size, 2021 & 2031F |
3.7 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume Share, By Vertical, 2021 & 2031F |
3.8 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume Share, By Technology, 2021 & 2031F |
4 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for high-performance computing applications in Sweden |
4.2.2 Growth in the Internet of Things (IoT) industry driving the need for SRAM FPGA in connected devices |
4.2.3 Rising adoption of artificial intelligence (AI) and machine learning technologies in various sectors in Sweden |
4.3 Market Restraints |
4.3.1 Intense competition from other memory technologies like DRAM and NAND flash |
4.3.2 Concerns regarding data security and privacy hindering the adoption of SRAM FPGA solutions in Sweden |
5 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Trends |
6 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market, By Types |
6.1 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market, By Configuration |
6.1.1 Overview and Analysis |
6.1.2 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Configuration, 2021- 2031F |
6.1.3 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Low-end FPGA, 2021- 2031F |
6.1.4 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Mid-Range FPGA, 2021- 2031F |
6.1.5 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By High-end FPGA, 2021- 2031F |
6.2 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market, By Node size |
6.2.1 Overview and Analysis |
6.2.2 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Less Than 28 nm, 2021- 2031F |
6.2.3 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By 2890 nm, 2021- 2031F |
6.2.4 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By More Than 90 nm, 2021- 2031F |
6.3 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market, By Vertical |
6.3.1 Overview and Analysis |
6.3.2 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Telecommunications, 2021- 2031F |
6.3.3 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Wireless communication, 2021- 2031F |
6.3.4 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Wired communication, 2021- 2031F |
6.3.5 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By 5G, 2021- 2031F |
6.3.6 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By ConsumerElectronics, 2021- 2031F |
6.3.7 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Smartphones and tablets, 2021- 2031F |
6.3.8 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Others, 2021- 2031F |
6.3.9 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Others, 2021- 2031F |
6.4 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market, By Technology |
6.4.1 Overview and Analysis |
6.4.2 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By SRAM, 2021- 2031F |
6.4.3 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Flash, 2021- 2031F |
6.4.4 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Antifuse, 2021- 2031F |
7 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Import-Export Trade Statistics |
7.1 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Export to Major Countries |
7.2 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Imports from Major Countries |
8 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Key Performance Indicators |
8.1 Average time to market for new SRAM FPGA products in Sweden |
8.2 Percentage of RD budget allocated to SRAM FPGA technology advancements |
8.3 Number of partnerships and collaborations with Swedish technology companies for SRAM FPGA development and integration |
9 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market - Opportunity Assessment |
9.1 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Opportunity Assessment, By Configuration, 2021 & 2031F |
9.2 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Opportunity Assessment, By Node size, 2021 & 2031F |
9.3 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Opportunity Assessment, By Vertical, 2021 & 2031F |
9.4 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Opportunity Assessment, By Technology, 2021 & 2031F |
10 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market - Competitive Landscape |
10.1 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenue Share, By Companies, 2024 |
10.2 Sweden Static Random-Access Memory (SRAM) Field Programmable Gate Array 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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