| Product Code: ETC6905681 | Publication Date: Sep 2024 | Updated Date: Oct 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Summon Dutta | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
Cyprus saw a decline in SRAM FPGA imports in 2024, with a negative CAGR of -26.76% from 2020 to 2024. The market experienced a sharp downturn with a growth rate of -85.72% in 2024. Despite this, the top exporting countries to Cyprus were Taiwan, China, Netherlands, Germany, and Greece. The high Herfindahl-Hirschman Index (HHI) indicates a concentrated market, suggesting potential challenges for new entrants in the SRAM FPGA sector in Cyprus.

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 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Overview |
3.1 Cyprus Country Macro Economic Indicators |
3.2 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, 2021 & 2031F |
3.3 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market - Industry Life Cycle |
3.4 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market - Porter's Five Forces |
3.5 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume Share, By Configuration, 2021 & 2031F |
3.6 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume Share, By Node size, 2021 & 2031F |
3.7 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume Share, By Vertical, 2021 & 2031F |
3.8 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume Share, By Technology, 2021 & 2031F |
4 Cyprus 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 |
4.2.2 Growing adoption of Internet of Things (IoT) devices |
4.2.3 Technological advancements in SRAM FPGA leading to enhanced performance and power efficiency |
4.3 Market Restraints |
4.3.1 High initial investment costs associated with SRAM FPGA technology |
4.3.2 Limited scalability compared to other types of FPGAs |
4.3.3 Fluctuating prices of raw materials impacting production costs |
5 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Trends |
6 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market, By Types |
6.1 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market, By Configuration |
6.1.1 Overview and Analysis |
6.1.2 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Configuration, 2021- 2031F |
6.1.3 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Low-end FPGA, 2021- 2031F |
6.1.4 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Mid-Range FPGA, 2021- 2031F |
6.1.5 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By High-end FPGA, 2021- 2031F |
6.2 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market, By Node size |
6.2.1 Overview and Analysis |
6.2.2 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Less Than 28 nm, 2021- 2031F |
6.2.3 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By 2890 nm, 2021- 2031F |
6.2.4 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By More Than 90 nm, 2021- 2031F |
6.3 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market, By Vertical |
6.3.1 Overview and Analysis |
6.3.2 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Telecommunications, 2021- 2031F |
6.3.3 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Wireless communication, 2021- 2031F |
6.3.4 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Wired communication, 2021- 2031F |
6.3.5 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By 5G, 2021- 2031F |
6.3.6 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By ConsumerElectronics, 2021- 2031F |
6.3.7 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Smartphones and tablets, 2021- 2031F |
6.3.8 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Others, 2021- 2031F |
6.3.9 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Others, 2021- 2031F |
6.4 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market, By Technology |
6.4.1 Overview and Analysis |
6.4.2 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By SRAM, 2021- 2031F |
6.4.3 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Flash, 2021- 2031F |
6.4.4 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Antifuse, 2021- 2031F |
7 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Import-Export Trade Statistics |
7.1 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Export to Major Countries |
7.2 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Imports from Major Countries |
8 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Key Performance Indicators |
8.1 Average power consumption per unit of SRAM FPGA |
8.2 Number of design wins in key applications such as automotive, aerospace, and telecommunications |
8.3 Time-to-market for new SRAM FPGA products |
8.4 Adoption rate of SRAM FPGA in emerging markets |
8.5 Percentage of revenue from new product innovations |
9 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market - Opportunity Assessment |
9.1 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Opportunity Assessment, By Configuration, 2021 & 2031F |
9.2 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Opportunity Assessment, By Node size, 2021 & 2031F |
9.3 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Opportunity Assessment, By Vertical, 2021 & 2031F |
9.4 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Opportunity Assessment, By Technology, 2021 & 2031F |
10 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market - Competitive Landscape |
10.1 Cyprus Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenue Share, By Companies, 2024 |
10.2 Cyprus 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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