| Product Code: ETC6752458 | 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 resistive random-access memory (ReRAM) in 2024 continued to be dominated by top exporting countries such as South Korea, Taiwan, Province of China, China, Japan, and Singapore. The Herfindahl-Hirschman Index (HHI) indicated a significant increase in market concentration from 2023 to 2024, reaching a very high level. Despite a negative compound annual growth rate (CAGR) from 2020 to 2024, the growth rate in 2024 surged by 18.22%, reflecting a potential uptick in demand for ReRAM technology in the Chinese market.

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 Resistive Random-Access Memory (ReRAM) Market Overview |
3.1 China Country Macro Economic Indicators |
3.2 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, 2021 & 2031F |
3.3 China Resistive Random-Access Memory (ReRAM) Market - Industry Life Cycle |
3.4 China Resistive Random-Access Memory (ReRAM) Market - Porter's Five Forces |
3.5 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume Share, By Type, 2021 & 2031F |
3.6 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume Share, By Memory, 2021 & 2031F |
3.7 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume Share, By Solution, 2021 & 2031F |
3.8 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume Share, By Technology, 2021 & 2031F |
3.9 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume Share, By Application, 2021 & 2031F |
3.10 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume Share, By End user, 2021 & 2031F |
4 China Resistive Random-Access Memory (ReRAM) Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Growth in demand for high-performance computing applications |
4.2.2 Increasing investments in research and development for advanced memory technologies |
4.2.3 Rising adoption of Internet of Things (IoT) devices in China |
4.3 Market Restraints |
4.3.1 High initial investment costs for setting up manufacturing facilities |
4.3.2 Technological complexities in the development and integration of resistive random-access memory |
4.3.3 Competition from established memory technologies like NAND and NOR flash memory |
5 China Resistive Random-Access Memory (ReRAM) Market Trends |
6 China Resistive Random-Access Memory (ReRAM) Market, By Types |
6.1 China Resistive Random-Access Memory (ReRAM) Market, By Type |
6.1.1 Overview and Analysis |
6.1.2 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By Type, 2021- 2031F |
6.1.3 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By Conductive Bridging, 2021- 2031F |
6.1.4 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By Oxide Based ReRAM, 2021- 2031F |
6.1.5 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By Others, 2021- 2031F |
6.2 China Resistive Random-Access Memory (ReRAM) Market, By Memory |
6.2.1 Overview and Analysis |
6.2.2 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By Embedded, 2021- 2031F |
6.2.3 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By Standalone, 2021- 2031F |
6.3 China Resistive Random-Access Memory (ReRAM) Market, By Solution |
6.3.1 Overview and Analysis |
6.3.2 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By NVMe, 2021- 2031F |
6.3.3 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By SSD, 2021- 2031F |
6.3.4 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By NVDIMM, 2021- 2031F |
6.4 China Resistive Random-Access Memory (ReRAM) Market, By Technology |
6.4.1 Overview and Analysis |
6.4.2 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By 180 nm, 2021- 2031F |
6.4.3 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By 40 nm, 2021- 2031F |
6.4.4 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By Others, 2021- 2031F |
6.5 China Resistive Random-Access Memory (ReRAM) Market, By Application |
6.5.1 Overview and Analysis |
6.5.2 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By NeuromorphicComputing, 2021- 2031F |
6.5.3 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By Security, 2021- 2031F |
6.5.4 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By Data Storage, 2021- 2031F |
6.5.5 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By Logical, 2021- 2031F |
6.6 China Resistive Random-Access Memory (ReRAM) Market, By End user |
6.6.1 Overview and Analysis |
6.6.2 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By Computer, 2021- 2031F |
6.6.3 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By IoT, 2021- 2031F |
6.6.4 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By Consmer Electronics, 2021- 2031F |
6.6.5 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By Medical, 2021- 2031F |
6.6.6 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By IT and Telecom, 2021- 2031F |
6.6.7 China Resistive Random-Access Memory (ReRAM) Market Revenues & Volume, By Aerospace and Defence, 2021- 2031F |
7 China Resistive Random-Access Memory (ReRAM) Market Import-Export Trade Statistics |
7.1 China Resistive Random-Access Memory (ReRAM) Market Export to Major Countries |
7.2 China Resistive Random-Access Memory (ReRAM) Market Imports from Major Countries |
8 China Resistive Random-Access Memory (ReRAM) Market Key Performance Indicators |
8.1 Average selling price (ASP) of resistive random-access memory products |
8.2 Number of patents filed for resistive random-access memory technologies |
8.3 Adoption rate of resistive random-access memory in emerging applications such as artificial intelligence and edge computing |
9 China Resistive Random-Access Memory (ReRAM) Market - Opportunity Assessment |
9.1 China Resistive Random-Access Memory (ReRAM) Market Opportunity Assessment, By Type, 2021 & 2031F |
9.2 China Resistive Random-Access Memory (ReRAM) Market Opportunity Assessment, By Memory, 2021 & 2031F |
9.3 China Resistive Random-Access Memory (ReRAM) Market Opportunity Assessment, By Solution, 2021 & 2031F |
9.4 China Resistive Random-Access Memory (ReRAM) Market Opportunity Assessment, By Technology, 2021 & 2031F |
9.5 China Resistive Random-Access Memory (ReRAM) Market Opportunity Assessment, By Application, 2021 & 2031F |
9.6 China Resistive Random-Access Memory (ReRAM) Market Opportunity Assessment, By End user, 2021 & 2031F |
10 China Resistive Random-Access Memory (ReRAM) Market - Competitive Landscape |
10.1 China Resistive Random-Access Memory (ReRAM) Market Revenue Share, By Companies, 2024 |
10.2 China Resistive Random-Access Memory (ReRAM) 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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