| Product Code: ETC6754271 | 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 |
China import shipments of Static Random-Access Memory (SRAM) Field Programmable Gate Arrays in 2024 saw a notable increase in concentration, with South Korea, Taiwan, China, Japan, and Singapore leading the pack. The Herfindahl-Hirschman Index (HHI) indicated very high concentration, reflecting a competitive market landscape. Despite a slight decline in the Compound Annual Growth Rate (CAGR) from 2020 to 2024, the growth rate spiked by 18.22% from 2023 to 2024, suggesting a resurgence in demand and market activity within the SRAM FPGA sector in China.

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 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Overview |
3.1 China Country Macro Economic Indicators |
3.2 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, 2021 & 2031F |
3.3 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market - Industry Life Cycle |
3.4 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market - Porter's Five Forces |
3.5 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume Share, By Configuration, 2021 & 2031F |
3.6 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume Share, By Node size, 2021 & 2031F |
3.7 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume Share, By Vertical, 2021 & 2031F |
3.8 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume Share, By Technology, 2021 & 2031F |
4 China 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 China |
4.2.2 Growth in the electronics industry and adoption of IoT devices in China |
4.2.3 Technological advancements and innovations in SRAM FPGA market in China |
4.3 Market Restraints |
4.3.1 High initial investment and production costs for SRAM FPGA |
4.3.2 Competition from alternative technologies such as MRAM and DRAM |
4.3.3 Challenges in maintaining security and reliability of SRAM FPGA devices |
5 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Trends |
6 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market, By Types |
6.1 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market, By Configuration |
6.1.1 Overview and Analysis |
6.1.2 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Configuration, 2021- 2031F |
6.1.3 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Low-end FPGA, 2021- 2031F |
6.1.4 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Mid-Range FPGA, 2021- 2031F |
6.1.5 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By High-end FPGA, 2021- 2031F |
6.2 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market, By Node size |
6.2.1 Overview and Analysis |
6.2.2 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Less Than 28 nm, 2021- 2031F |
6.2.3 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By 2890 nm, 2021- 2031F |
6.2.4 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By More Than 90 nm, 2021- 2031F |
6.3 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market, By Vertical |
6.3.1 Overview and Analysis |
6.3.2 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Telecommunications, 2021- 2031F |
6.3.3 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Wireless communication, 2021- 2031F |
6.3.4 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Wired communication, 2021- 2031F |
6.3.5 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By 5G, 2021- 2031F |
6.3.6 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By ConsumerElectronics, 2021- 2031F |
6.3.7 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Smartphones and tablets, 2021- 2031F |
6.3.8 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Others, 2021- 2031F |
6.3.9 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Others, 2021- 2031F |
6.4 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market, By Technology |
6.4.1 Overview and Analysis |
6.4.2 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By SRAM, 2021- 2031F |
6.4.3 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Flash, 2021- 2031F |
6.4.4 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenues & Volume, By Antifuse, 2021- 2031F |
7 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Import-Export Trade Statistics |
7.1 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Export to Major Countries |
7.2 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Imports from Major Countries |
8 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Key Performance Indicators |
8.1 Average selling price (ASP) of SRAM FPGA products in China |
8.2 Number of design wins and design engagements with key Chinese electronics manufacturers |
8.3 Adoption rate of SRAM FPGA in emerging technologies such as AI, 5G, and autonomous vehicles in China |
8.4 Percentage of revenue derived from new product launches in the SRAM FPGA market in China |
9 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market - Opportunity Assessment |
9.1 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Opportunity Assessment, By Configuration, 2021 & 2031F |
9.2 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Opportunity Assessment, By Node size, 2021 & 2031F |
9.3 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Opportunity Assessment, By Vertical, 2021 & 2031F |
9.4 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Opportunity Assessment, By Technology, 2021 & 2031F |
10 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market - Competitive Landscape |
10.1 China Static Random-Access Memory (SRAM) Field Programmable Gate Array Market Revenue Share, By Companies, 2024 |
10.2 China 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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