| Product Code: ETC5570996 | Publication Date: Nov 2023 | Updated Date: Nov 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 60 | No. of Figures: 30 | No. of Tables: 5 |
In 2024, Hong Kong continued to rely heavily on imports of FPGAs, with Taiwan, China, Singapore, South Korea, and Malaysia being the top exporting countries. The market concentration, as measured by the HHI, remained at a high level from the previous year, indicating a competitive landscape among the suppliers. However, the industry experienced a significant decline in both the CAGR from 2020 to 2024 and the growth rate from 2023 to 2024, suggesting potential challenges or shifts in the demand for FPGAs in Hong Kong.

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 Hong Kong FPGA Market Overview |
3.1 Hong Kong Country Macro Economic Indicators |
3.2 Hong Kong FPGA Market Revenues & Volume, 2021 & 2031F |
3.3 Hong Kong FPGA Market - Industry Life Cycle |
3.4 Hong Kong FPGA Market - Porter's Five Forces |
3.5 Hong Kong FPGA Market Revenues & Volume Share, By Configuration , 2021 & 2031F |
3.6 Hong Kong FPGA Market Revenues & Volume Share, By Technology , 2021 & 2031F |
3.7 Hong Kong FPGA Market Revenues & Volume Share, By Node Size , 2021 & 2031F |
4 Hong Kong FPGA 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 FPGA designs and capabilities |
4.3 Market Restraints |
4.3.1 High initial investment costs associated with FPGA technology |
4.3.2 Limited availability of skilled professionals in FPGA development |
4.3.3 Competition from alternative technologies like ASICs and GPUs |
5 Hong Kong FPGA Market Trends |
6 Hong Kong FPGA Market Segmentations |
6.1 Hong Kong FPGA Market, By Configuration |
6.1.1 Overview and Analysis |
6.1.2 Hong Kong FPGA Market Revenues & Volume, By Low-End FPGA, 2021-2031F |
6.1.3 Hong Kong FPGA Market Revenues & Volume, By Mid-Range FPGA, 2021-2031F |
6.1.4 Hong Kong FPGA Market Revenues & Volume, By High-End FPGA, 2021-2031F |
6.2 Hong Kong FPGA Market, By Technology |
6.2.1 Overview and Analysis |
6.2.2 Hong Kong FPGA Market Revenues & Volume, By SRAM, 2021-2031F |
6.2.3 Hong Kong FPGA Market Revenues & Volume, By Flash, 2021-2031F |
6.2.4 Hong Kong FPGA Market Revenues & Volume, By Antifuse, 2021-2031F |
6.3 Hong Kong FPGA Market, By Node Size |
6.3.1 Overview and Analysis |
6.3.2 Hong Kong FPGA Market Revenues & Volume, By ? 16 NM, 2021-2031F |
6.3.3 Hong Kong FPGA Market Revenues & Volume, By 20-90 NM, 2021-2031F |
6.3.4 Hong Kong FPGA Market Revenues & Volume, By >90 NM, 2021-2031F |
7 Hong Kong FPGA Market Import-Export Trade Statistics |
7.1 Hong Kong FPGA Market Export to Major Countries |
7.2 Hong Kong FPGA Market Imports from Major Countries |
8 Hong Kong FPGA Market Key Performance Indicators |
8.1 FPGA design complexity index |
8.2 Number of new FPGA product launches in the market |
8.3 Adoption rate of FPGA technology in key industries |
9 Hong Kong FPGA Market - Opportunity Assessment |
9.1 Hong Kong FPGA Market Opportunity Assessment, By Configuration , 2021 & 2031F |
9.2 Hong Kong FPGA Market Opportunity Assessment, By Technology , 2021 & 2031F |
9.3 Hong Kong FPGA Market Opportunity Assessment, By Node Size , 2021 & 2031F |
10 Hong Kong FPGA Market - Competitive Landscape |
10.1 Hong Kong FPGA Market Revenue Share, By Companies, 2024 |
10.2 Hong Kong FPGA 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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