| Product Code: ETC10128551 | Publication Date: Sep 2024 | Updated Date: Dec 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Summon Dutta | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
In 2024, Zambia`s import shipments of Static Random-Access Memory (SRAM) Field Programmable Gate Arrays continued to be dominated by top exporting countries such as South Africa, China, Mexico, the United States of America, and Japan. Despite a high Herfindahl-Hirschman Index (HHI) indicating market concentration, the industry saw a significant decline with a CAGR of -9.66% from 2020 to 2024. The growth rate plummeted by -52.97% from 2023 to 2024, highlighting the challenges faced by the SRAM FPGA market in Zambia.

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 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Overview |
3.1 Zambia Country Macro Economic Indicators |
3.2 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, 2021 & 2031F |
3.3 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market - Industry Life Cycle |
3.4 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market - Porter's Five Forces |
3.5 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume Share, By Configuration, 2021 & 2031F |
3.6 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume Share, By Node size, 2021 & 2031F |
3.7 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume Share, By Vertical, 2021 & 2031F |
3.8 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume Share, By Technology, 2021 & 2031F |
4 Zambia 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 faster and more efficient computing systems |
4.2.2 Growth in the Internet of Things (IoT) and wearable technology markets |
4.2.3 Technological advancements in data centers and cloud computing |
4.3 Market Restraints |
4.3.1 High initial investment costs for implementing SRAM FPGA technology |
4.3.2 Limited awareness and understanding of SRAM FPGA technology in the market |
4.3.3 Competition from alternative memory technologies such as DRAM and NAND flash |
5 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Trends |
6 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market, By Types |
6.1 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market, By Configuration |
6.1.1 Overview and Analysis |
6.1.2 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Configuration, 2021- 2031F |
6.1.3 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Low-end FPGA, 2021- 2031F |
6.1.4 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Mid-Range FPGA, 2021- 2031F |
6.1.5 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By High-end FPGA, 2021- 2031F |
6.2 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market, By Node size |
6.2.1 Overview and Analysis |
6.2.2 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Less Than 28 nm, 2021- 2031F |
6.2.3 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By 2890 nm, 2021- 2031F |
6.2.4 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By More Than 90 nm, 2021- 2031F |
6.3 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market, By Vertical |
6.3.1 Overview and Analysis |
6.3.2 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Telecommunications, 2021- 2031F |
6.3.3 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Wireless communication, 2021- 2031F |
6.3.4 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Wired communication, 2021- 2031F |
6.3.5 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By 5G, 2021- 2031F |
6.3.6 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By ConsumerElectronics, 2021- 2031F |
6.3.7 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Smartphones and tablets, 2021- 2031F |
6.3.8 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Others, 2021- 2031F |
6.3.9 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Others, 2021- 2031F |
6.4 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market, By Technology |
6.4.1 Overview and Analysis |
6.4.2 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By SRAM, 2021- 2031F |
6.4.3 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Flash, 2021- 2031F |
6.4.4 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Antifuse, 2021- 2031F |
7 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Import-Export Trade Statistics |
7.1 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Export to Major Countries |
7.2 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Imports from Major Countries |
8 Zambia 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 and successful implementations in key industries |
8.3 Rate of adoption of SRAM FPGA technology in emerging applications (e.g., autonomous vehicles, artificial intelligence) |
9 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market - Opportunity Assessment |
9.1 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Opportunity Assessment, By Configuration, 2021 & 2031F |
9.2 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Opportunity Assessment, By Node size, 2021 & 2031F |
9.3 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Opportunity Assessment, By Vertical, 2021 & 2031F |
9.4 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Opportunity Assessment, By Technology, 2021 & 2031F |
10 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market - Competitive Landscape |
10.1 Zambia Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenue Share, By Companies, 2024 |
10.2 Zambia 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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