| Product Code: ETC6742947 | Publication Date: Sep 2024 | Updated Date: Oct 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Vasudha | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
China ferroelectric random-access memory (FRAM) import shipments in 2024 continued to see a high concentration of imports from top countries such as South Korea, Taiwan, Province of China, China, Japan, and Singapore. The Herfindahl-Hirschman Index (HHI) indicated a significant increase in concentration from 2023 to 2024, reflecting a more consolidated market. Despite a negative compound annual growth rate (CAGR) from 2020 to 2024, there was a notable growth rate of 18.22% from 2023 to 2024, suggesting a potential uptick in demand for FRAM technology 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 Ferroelectric Random-Access Memory (FRAM) Market Overview |
3.1 China Country Macro Economic Indicators |
3.2 China Ferroelectric Random-Access Memory (FRAM) Market Revenues & Volume, 2021 & 2031F |
3.3 China Ferroelectric Random-Access Memory (FRAM) Market - Industry Life Cycle |
3.4 China Ferroelectric Random-Access Memory (FRAM) Market - Porter's Five Forces |
3.5 China Ferroelectric Random-Access Memory (FRAM) Market Revenues & Volume Share, By Type, 2021 & 2031F |
3.6 China Ferroelectric Random-Access Memory (FRAM) Market Revenues & Volume Share, By Interface, 2021 & 2031F |
3.7 China Ferroelectric Random-Access Memory (FRAM) Market Revenues & Volume Share, By Application, 2021 & 2031F |
4 China Ferroelectric Random-Access Memory (FRAM) Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for consumer electronics in China |
4.2.2 Growing adoption of Internet of Things (IoT) devices in various industries |
4.2.3 Technological advancements in ferroelectric random-access memory (FRAM) technology |
4.2.4 Government support for the semiconductor industry in China |
4.3 Market Restraints |
4.3.1 High initial costs associated with FRAM technology |
4.3.2 Limited awareness and understanding of FRAM technology among end-users |
4.3.3 Competition from alternative non-volatile memory technologies |
4.3.4 Supply chain disruptions and raw material price fluctuations |
5 China Ferroelectric Random-Access Memory (FRAM) Market Trends |
6 China Ferroelectric Random-Access Memory (FRAM) Market, By Types |
6.1 China Ferroelectric Random-Access Memory (FRAM) Market, By Type |
6.1.1 Overview and Analysis |
6.1.2 China Ferroelectric Random-Access Memory (FRAM) Market Revenues & Volume, By Type, 2021- 2031F |
6.1.3 China Ferroelectric Random-Access Memory (FRAM) Market Revenues & Volume, By 4K, 2021- 2031F |
6.1.4 China Ferroelectric Random-Access Memory (FRAM) Market Revenues & Volume, By 6.18K, 2021- 2031F |
6.1.5 China Ferroelectric Random-Access Memory (FRAM) Market Revenues & Volume, By 16K, 2021- 2031F |
6.1.6 China Ferroelectric Random-Access Memory (FRAM) Market Revenues & Volume, By 32K, 2021- 2031F |
6.1.7 China Ferroelectric Random-Access Memory (FRAM) Market Revenues & Volume, By 64K, 2021- 2031F |
6.1.8 China Ferroelectric Random-Access Memory (FRAM) Market Revenues & Volume, By 512K, 2021- 2031F |
6.2 China Ferroelectric Random-Access Memory (FRAM) Market, By Interface |
6.2.1 Overview and Analysis |
6.2.2 China Ferroelectric Random-Access Memory (FRAM) Market Revenues & Volume, By Serial, 2021- 2031F |
6.2.3 China Ferroelectric Random-Access Memory (FRAM) Market Revenues & Volume, By Parallel, 2021- 2031F |
6.3 China Ferroelectric Random-Access Memory (FRAM) Market, By Application |
6.3.1 Overview and Analysis |
6.3.2 China Ferroelectric Random-Access Memory (FRAM) Market Revenues & Volume, By Metering/Measurement, 2021- 2031F |
6.3.3 China Ferroelectric Random-Access Memory (FRAM) Market Revenues & Volume, By Enterprise Storage, 2021- 2031F |
6.3.4 China Ferroelectric Random-Access Memory (FRAM) Market Revenues & Volume, By Automotive, 2021- 2031F |
6.3.5 China Ferroelectric Random-Access Memory (FRAM) Market Revenues & Volume, By Medical, 2021- 2031F |
6.3.6 China Ferroelectric Random-Access Memory (FRAM) Market Revenues & Volume, By Wearable Devices, 2021- 2031F |
6.3.7 China Ferroelectric Random-Access Memory (FRAM) Market Revenues & Volume, By Smart Meters, 2021- 2031F |
7 China Ferroelectric Random-Access Memory (FRAM) Market Import-Export Trade Statistics |
7.1 China Ferroelectric Random-Access Memory (FRAM) Market Export to Major Countries |
7.2 China Ferroelectric Random-Access Memory (FRAM) Market Imports from Major Countries |
8 China Ferroelectric Random-Access Memory (FRAM) Market Key Performance Indicators |
8.1 Average selling price (ASP) of FRAM chips |
8.2 Number of new product launches incorporating FRAM technology |
8.3 Research and development (RD) investments in FRAM technology |
8.4 Adoption rate of FRAM in key industries such as automotive, healthcare, and telecommunications |
9 China Ferroelectric Random-Access Memory (FRAM) Market - Opportunity Assessment |
9.1 China Ferroelectric Random-Access Memory (FRAM) Market Opportunity Assessment, By Type, 2021 & 2031F |
9.2 China Ferroelectric Random-Access Memory (FRAM) Market Opportunity Assessment, By Interface, 2021 & 2031F |
9.3 China Ferroelectric Random-Access Memory (FRAM) Market Opportunity Assessment, By Application, 2021 & 2031F |
10 China Ferroelectric Random-Access Memory (FRAM) Market - Competitive Landscape |
10.1 China Ferroelectric Random-Access Memory (FRAM) Market Revenue Share, By Companies, 2024 |
10.2 China Ferroelectric Random-Access Memory (FRAM) 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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