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2016818

멤리스터 시장 규모, 점유율, 동향 및 예측 : 유형별, 업계별, 지역별(2026-2034년)

Memristor Market Size, Share, Trends and Forecast by Type, Industry Vertical, and Region, 2026-2034

발행일: | 리서치사: 구분자 IMARC | 페이지 정보: 영문 144 Pages | 배송안내 : 2-3일 (영업일 기준)

    
    
    




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※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

2025년의 세계 멤리스터 시장 규모는 5억 8,890만 달러로 평가되었습니다. 향후에 대해 IMARC Group은 2026-2034년에 CAGR 38.78%로 추이하며, 2034년까지 시장 규모가 121억 4,650만 달러에 달할 것으로 예측하고 있습니다. 현재 북미가 시장을 독점하고 있으며, 2025년에는 35.0% 이상의 시장 점유율을 차지하고 있습니다. 에너지 효율적인 컴퓨팅에 대한 수요 증가, AI 및 뉴로모픽 시스템의 발전, IoT 및 데이터 스토리지의 채택 확대, 지속가능하고 빠른 메모리 기술에 대한 관심 증가에 힘입어 멤리스터 시장 점유율이 확대되고 있습니다.

고성능 컴퓨팅(HPC)과 인공지능(AI)의 적용 확대가 시장 성장을 촉진하고 있습니다. 머신러닝(ML), 자연 언어처리(NLP), 자율시스템 등 AI 기술이 발전함에 따라 대량의 데이터를 효율적으로 처리할 수 있는 하드웨어에 대한 수요가 증가하고 있습니다. 멤리스터는 처리 속도 향상, 전력 소비 감소, 복잡한 연산 처리 능력을 구현하므로 AI 알고리즘이나 뉴로모픽 시스템에 사용하기에 적합합니다. 이러한 특성으로 인해 AI 구동형 시스템이 필수적인 의료, 자동차, 로봇공학 등의 분야에서 특히 주목받고 있습니다.

미국은 여러 가지 이유로 멤리스터 시장의 주요 기여국으로 부상하고 있습니다. 미국 기술 기업은 AI 개발에 많은 투자를 하고 있으며, 멤리스터 기반 하드웨어 솔루션은 AI 시스템 성능 향상을 위한 중요한 초점이 되고 있습니다. 예를 들어 멤리스터를 엣지 컴퓨팅 디바이스에 통합하면 중앙집중식 클라우드 시스템에 의존하지 않고도 실시간 AI 처리가 가능해집니다. 이는 즉각적인 의사결정이 중요한 자동차, 의료, 국방 등의 산업에서 특히 중요합니다. 엣지 컴퓨팅에 대한 관심이 높아지면서 더 빠른 로컬 데이터 처리를 가능하게 하는 엣지 컴퓨팅의 역할이 미국에서 멤리스터의 연구개발(R&D)을 촉진하는 중요한 요인이 되고 있습니다. 또한 IMARC Group의 예측에 따르면 미국 엣지 컴퓨팅 시장은 2033년까지 462억 달러에 달할 것으로 예상됩니다. 이에 따라 향후 수년간 멤리스터에 대한 수요는 더욱 증가할 것입니다.

멤리스터 시장 동향:

고급 AI 및 ML 하드웨어에 대한 수요 증가

인공지능(AI) 및 머신러닝(ML) 애플리케이션의 사용 확대는 시장을 촉진하는 주요 요인입니다. 이러한 애플리케이션은 빠른 처리 능력과 데이터 저장 용량을 필요로 하며, 기존 컴퓨팅 시스템의 한계를 뛰어넘는 경우가 많습니다. 멤리스터는 데이터 처리와 저장을 동시에 수행할 수 있으며, 지연 시간을 최소화하고 계산 효율을 향상시킬 수 있다는 분명한 이점을 제공합니다. 메모리와 프로세싱 유닛을 분리하는 기존 메모리 아키텍처와 달리 멤리스터의 비휘발성 및 고속이라는 특성은 실시간 AI 애플리케이션에 적합합니다. 또한 에너지 절약형 설계는 전력 소비와 처리 속도가 필수적인 엣지 컴퓨팅 장치에서 특히 유리합니다. 이러한 특성은 AI를 활용한 영상 진단 및 진단을 위해 빠른 데이터 분석이 요구되는 의료 산업이나 실시간 의사결정이 필수적인 자율주행차 등의 분야에서 특히 중요합니다. 전 세계 산업계가 AI 기술을 지속적으로 도입함에 따라 멤리스터와 같은 첨단 하드웨어 솔루션에 대한 수요가 확대될 것으로 예상되며, 이 분야에 대한 투자와 혁신을 촉진할 것으로 보입니다. 2024년, TDK 주식회사는 초저전력 소비 '스핀멤리스터'라는 뉴로모픽 소자를 개발했다고 발표했습니다. 인간 두뇌의 에너지 절약 기능을 모방함으로써 이 구성 요소는 AI 애플리케이션의 전력 소비를 기존 장치의 100분의 1로 줄일 수 있습니다.

에너지 효율적이고 환경 친화적인 컴퓨팅 솔루션에 대한 수요 증가

에너지 효율과 지속가능성은 현대 컴퓨팅 시스템 설계에서 가장 중요한 요소로 떠오르고 있으며, 이는 멤리스터의 채택을 더욱 촉진하고 있습니다. 기존 컴퓨팅 시스템, 특히 빅데이터 분석이나 클라우드 컴퓨팅과 같은 데이터 집약적인 작업에 사용되는 시스템은 많은 양의 에너지를 필요로 하고, 운영 비용의 증가와 환경 문제를 야기하고 있습니다. 반면, 멤리스터는 높은 처리 속도와 저전력 소비를 동시에 구현할 수 있으며, 지속가능한 컴퓨팅을 위한 이상적인 솔루션입니다. 멤리스터는 상시 전원 공급 없이도 메모리 상태를 유지할 수 있는 특성과 더불어 데이터 읽기 및 쓰기 동작시 저전력 소모라는 장점으로 전체 전력 소비를 크게 줄일 수 있습니다. 이러한 특성은 제한된 전력으로 효율적으로 작동해야 하는 IoT(사물인터넷), 웨어러블 기기, 엣지 컴퓨팅과 같은 신규 기술에서 특히 가치가 있습니다. 전 세계 조직과 정부가 지속가능성 목표를 달성하기 위해 에너지 절약 기술을 우선시하는 가운데, 멤리스터는 차세대 그린 컴퓨팅 시스템을 구축하기 위한 최적의 선택으로 부상하고 있습니다. 2024년, 후지쯔와 슈퍼마이크로는 기술 및 비즈니스 분야에서 장기적인 전략적 파트너십을 구축하기 위해 협력했습니다. 그 목적은 2027년 출시 예정인 후지쯔의 차세대 Arm 기반 프로세서 'FUJITSU-MONAKA'를 활용한 플랫폼의 개발 및 보급에 있으며, 고성능과 에너지 효율이 우수하도록 설계되었습니다. 또한 양사는 HPC, 제너레이티브 AI, 그리고 미래지향적인 그린 데이터센터를 위한 수랭식 시스템 개발에도 협력할 예정입니다.

뉴로모픽 및 뇌형 컴퓨팅에 대한 관심 증대

인간 뇌의 신경 구조를 모방하여 고급 데이터 처리 및 학습 능력을 구현하는 뉴로모픽 컴퓨팅은 멤리스터가 중요한 역할을 하는 빠르게 성장하는 분야입니다. 멤리스터는 생물학적 시냅스를 모방하여 데이터 저장과 처리를 동시에 할 수 있으므로 뉴로모픽 시스템 구축에 필수적입니다. 기존의 폰 노이만형 아키텍처와 달리 멤리스터 기반의 뉴로모픽 시스템은 첨단 병렬 처리 능력과 에너지 효율이 뛰어나 패턴 인식, 감각 데이터 분석, 자율적 의사결정 등의 작업에 적합합니다. 지능적이고 적응력이 높은 시스템의 중요성이 커지고 있는 로봇공학, 의료, 국방 등의 분야에서 뉴로모픽 컴퓨팅에 대한 관심이 높아지고 있는 것은 분명합니다. 또한 업계가 현재 컴퓨팅 아키텍처의 한계를 극복하기 위해 노력하고 있는 가운데, 멤리스터 기반의 뉴로모픽 솔루션은 유망한 길을 보여주고 있습니다. 이러한 시스템은 범용 인공지능(AGI)의 발전에도 기여할 수 있는 잠재력을 가지고 있으며, 뇌에서 영감을 얻은 컴퓨팅 애플리케이션에 대한 수요 증가에 대응하기 위해 멤리스터 기술에 대한 관심과 투자를 더욱 촉진하고 있습니다. 2025년, 한국과학기술원(KAIST) 연구진은 자가 학습과 오류 수정이 가능한 차세대 뉴로모픽 반도체 기반의 초소형 컴퓨팅 칩을 개발했습니다. 이 연구 성과는 국제 학술지 'Nature Electronics'에 게재되었습니다.

목차

제1장 서문

제2장 조사 범위와 조사 방법

제3장 개요

제4장 서론

제5장 세계의 멤리스터 시장

제6장 시장 내역 : 유형별

제7장 시장 내역 : 산업 분야별

제8장 시장 내역 : 지역별

제9장 SWOT 분석

제10장 밸류체인 분석

제11장 Porter's Five Forces 분석

제12장 가격 분석

제13장 경쟁 구도

KSA 26.05.08

The global memristor market size was valued at USD 588.9 Million in 2025. Looking forward, IMARC Group estimates the market to reach USD 12,146.5 Million by 2034, exhibiting a CAGR of 38.78% from 2026-2034. North America currently dominates the market, holding a market share of over 35.0% in 2025. The memristor market share is expanding, driven by rising demand for energy-efficient computing, advancements in AI and neuromorphic systems, increasing adoption in IoT and data storage, and growing interest in sustainable and high-speed memory technologies.

The increasing application of high-performance computing (HPC) and artificial intelligence (AI) is facilitating market expansion. As AI technologies, including machine learning (ML), natural language processing (NLP), and autonomous systems, progress, the demand for hardware capable of efficiently handling large volumes of data is growing. Memristors enable faster processing speeds, lower energy consumption, and the ability to handle complex calculations, making them ideal for use in AI algorithms and neuromorphic systems. These characteristics render them particularly appealing in sectors like healthcare, automotive, and robotics, where AI-driven systems are essential.

The United States has emerged as a major contributor in the memristor market owing to many reasons. US tech companies are investing heavily in AI development, and memristor-based hardware solutions are becoming a key focus for enhancing AI system performance. For instance, the integration of memristors into edge computing devices allows real-time AI processing without relying on centralized cloud systems. This is especially relevant in industries like automotive, healthcare, and defense, where immediate decision-making is important. The growing emphasis on edge computing and its role in enabling faster, localized data processing is a significant factor driving memristor research and development (R&D) in the United States. Moreover, the IMARC Group predicts that the US edge computing market is predicted to USD 46.2 Billion by 2033. This will further increase the need for memristors in the coming years.

MEMRISTOR MARKET TRENDS:

Heightened Demand for Advanced AI and ML Hardware

The increasing use of artificial intelligence (AI) and machine learning (ML) applications is a major factor propelling the market. These applications require high-speed processing and data storage capabilities, often exceeding the limits of traditional computing systems. Memristors provide a distinct benefit by allowing concurrent data processing and storage, minimizing latency, and improving computational effectiveness. Unlike conventional memory architectures that separate memory and processing units, memristors' non-volatile and high-speed characteristics make them ideal for real-time AI applications. Additionally, their energy-saving design is especially advantageous for edge computing devices, where power usage and processing speed are essential elements. These attributes are particularly relevant in industries such as healthcare, where AI-powered imaging and diagnostics require rapid data analysis, and in autonomous vehicles, where real-time decision-making is essential. As global industries continue to embrace AI technologies, the demand for advanced hardware solutions like memristors is expected to grow, fueling investments and innovations in this sector. In 2024, TDK Corporation revealed the development of a neuromorphic device referred to as a "spin-memristor" with very low energy usage. By emulating the energy-saving functionality of the human brain, this component may reduce the power usage of AI applications to 1/100th that of conventional devices.

Rising Requirement for Energy-Efficient and Eco-friendly Computing Solutions

Energy efficiency and sustainability are becoming paramount in the design of modern computing systems, further driving the adoption of memristors. Conventional computing systems, particularly those utilized for data-heavy tasks like big data analysis and cloud computing, require large amounts of energy, leading to increased operational expenses and environmental issues. Memristors, on the other hand, offer a low-power alternative with high processing speeds, making them an ideal solution for sustainable computing. Their ability to retain memory without requiring constant power, combined with low energy requirements for data read and write operations, significantly reduces overall power consumption. This characteristic is especially valuable in emerging technologies such as the Internet of Things (IoT), wearable devices, and edge computing, where devices must operate efficiently on limited power sources. As organizations and governments worldwide prioritize energy-efficient technology to meet sustainability goals, memristors are emerging as a preferred choice for building next-generation green computing systems. In 2024, Fujitsu Limited and Supermicro Inc. collaborated to work together to create a long-term strategic partnership in technology and business, aimed at developing and promoting a platform utilizing Fujitsu's upcoming Arm-based "FUJITSU-MONAKA" processor, which is engineered for high performance and energy efficiency, set to launch in 2027. Furthermore, the two firms will work together on creating liquid-cooled systems for HPC, Gen AI, and future-focused green data centers.

Growing Interest in Neuromorphic and Brain-Inspired Computing

Neuromorphic computing, which mimics the human brain's neural architecture to achieve advanced data processing and learning capabilities, is a rapidly growing area where memristors play a critical role. Memristors' ability to emulate biological synapses, enabling simultaneous storage and processing of data, makes them essential for creating neuromorphic systems. Unlike traditional von Neumann architectures, neuromorphic systems powered by memristors are highly parallel and energy-efficient, making them suitable for tasks like pattern recognition, sensory data analysis, and autonomous decision-making. The increasing focus on neuromorphic computing is evident in sectors such as robotics, healthcare, and defense, where intelligent and adaptive systems are gaining importance. Moreover, as industries seek to overcome the limitations of current computing architectures, memristor-driven neuromorphic solutions offer a promising path forward. These systems also hold potential for advancing artificial general intelligence (AGI), further driving interest and investment in memristor technology to meet the growing demand for brain-inspired computing applications. In 2025, A research group from The Korea Advanced Institute of Science and Technology developed an ultra-compact computing chip based on next-generation neuromorphic semiconductors that can perform self-learning and error correction. The research is released in the global scholarly journal Nature Electronics.

MEMRISTOR INDUSTRY SEGMENTATION:

Analysis by Type :

  • Molecular and Ionic Film Memristor
    • Titanium Dioxide Memristor
    • Polymeric Memristor
    • Others
  • Spin Based and Magnetic Memristor
    • Spintronic Memristor
    • Spin Torque Transfer (STT) MRAM

Molecular and iconic film memristor (titanium dioxide memristor, polymeric memristor, and others) represent the largest segment. Molecular and ionic film memristors are very energy-efficient because they have minimal power needs for switching and storing data. In contrast to traditional transistors or resistive memory technologies that depend on electronic charge transfer, these memristors use ionic movement or molecular rearrangement to retain information. This method uses much less energy since it removes the need for a continuous power supply that traditional memory devices require to store data. This effectiveness renders molecular and ionic film memristors perfect for energy-critical uses, like edge computing, wearable technology, and the Internet of Things (IoT). The lowered energy usage also corresponds with the worldwide movement toward more eco-friendly and sustainable computing technologies, tackling environmental issues and the expenses related to extensive data centers.

Analysis by Industry Vertical :

  • Electronics
  • IT and Telecommunication
  • Industrial
  • Aerospace and Defense
  • Automotive
  • Healthcare

Electronics represents the leading segment. The use of memristors in consumer electronics is gaining traction as devices such as smartphones, tablets, and wearables require faster data processing and greater storage capacity. Additionally, their non-volatile nature ensures that data is retained even when devices are powered off, offering instant-on functionality for seamless user experiences. These advantages make memristors particularly attractive for improving the performance and reliability of consumer devices, thereby offering a favorable memristor market outlook. In wearable electronics, where miniaturization and energy efficiency are essential, memristors are crucial. They offer compact memory solutions that lower energy usage, enhance battery longevity, and facilitate real-time data processing. For example, fitness trackers and smartwatches can utilize memristors to analyze health information more quickly and accurately, enhancing performance while saving energy. As wearable technology spreads quickly, memristors are poised to be essential in fulfilling the needs of the upcoming generation of consumer electronics.

Regional Analysis:

  • North America
    • United States
    • Canada
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa

North America holds 35.0% of the market share. The increasing integration of AI and ML across various sectors is a primary driver of the memristor market in North America. AI and ML applications rely on high-speed data processing and storage capabilities, which conventional memory architectures often struggle to provide efficiently. Furthermore, the emergence of neuromorphic computing, which imitates the brain's neural architecture, is generating new prospects for memristors in the area. Memristors can emulate synaptic behaviors, such as learning and memory retention, allowing for the development of highly energy-efficient neuromorphic systems. In 2024, A collaborative initiative involving the University of Kansas and the University of Houston, backed by $1.8 million from the National Science Foundation's second Future of Semiconductor program (FuSe2), aimed to create atomically adjustable memory resistors, referred to as "memristors," for advanced computing inspired by the brain, while also preparing the workforce for the nation's semiconductor sector.

KEY REGIONAL TAKEAWAYS:

UNITED STATES MEMRISTOR MARKET ANALYSIS

The United States memristor market is primarily driven by advancements in the field of electronics and computing. The increasing need for quicker and more effective devices in sectors like telecommunications, consumer electronics, and automotive significantly drives market expansion. Memristors, which offer non-volatile memory, low power consumption, and faster data processing, are seen as a key technology to revolutionize these sectors. The rising demand for high-performance computing and data storage, especially in data centers and cloud computing, is also promoting the use of memristor technology. According to an article published by ET Telecom, the United States has 5,388 data centres as of now. An additional crucial factor is the substantial funding for research and development (R&D) from both private firms and governmental organizations, focused on enhancing memristor efficiency and developing more economical production methods. As the United States continues to push the boundaries of artificial intelligence (AI) and machine learning, memristors are viewed as a promising solution to address the growing need for efficient, scalable memory and processing units. Additionally, the rising focus on energy-efficient technology across various applications further amplifies the demand for memristors, given their low power consumption and high-speed data handling capabilities. In addition, the existence of leading semiconductor companies and academic organizations dedicated to memristor research greatly enhances memristor market growth in the area.

EUROPE MEMRISTOR MARKET ANALYSIS

Europe is experiencing steady growth in the memristor market because of the region's strong emphasis on innovation in technology and sustainable practices. The European Union's commitment to reducing carbon footprints and improving energy efficiency is spurring the adoption of advanced technologies like memristors, which consume less power compared to traditional memory devices. The growing demand for high-speed, low-energy memory solutions in sectors like automotive, healthcare, and industrial automation is fueling the market. Additionally, Europe's strong automotive sector is incorporating memristor technology into electric and autonomous vehicles, where efficient memory systems are required for real-time data processing and decision-making. As reported by the IEA, new electric vehicle registrations in Europe hit almost 3.2 million in 2023, marking an increase of nearly 20% compared to 2022. Furthermore, the rise of Industry 4.0 in Europe is also contributing to the growing demand for memristor-based technologies, as they provide the necessary processing capabilities for smart factories and IoT systems. Besides this, ongoing collaborations between universities, research institutions, and tech companies to explore the potential of memristors in future computing paradigms like quantum computing and neuromorphic systems are key drivers for market expansion in Europe. With increasing investments in the development of semiconductor technologies and government-backed funding for R&D, Europe is positioning itself as a key player in the global memristor market.

ASIA PACIFIC MEMRISTOR MARKET ANALYSIS

The Asia Pacific region is witnessing robust growth in the memristor market on account of the rapid pace of technological advancements and the increasing demand for next-generation memory and storage solutions. Nations such as China, Japan, South Korea, and India lead this expansion due to their substantial investments in electronics, semiconductors, and research and development. The continuous digital evolution across different sectors significantly contributes to the increased need for high-performance memory devices. According to the Ministry of External Affairs of the Government of India, India's digital transformation will generate a USD 1 Trillion economy by the year 2028. Apart from this, the proliferation of smart devices, the internet of things (IoT), and artificial intelligence (AI) in the Asia Pacific region is further bolstering the market growth. These technologies require fast, efficient, and reliable memory solutions, which memristors can provide, owing to their low power consumption, high storage density, and ability to retain data without energy. Moreover, governmental efforts in nations such as China and South Korea to promote the advancement of next-generation electronics and the expansion of their semiconductor sectors play a crucial role in the market's growth. Furthermore, the focus on energy-efficient and sustainable electronics, coupled with the higher income levels and the growing middle class in the region, makes the adoption of memristors a viable solution for achieving performance and power efficiency in various consumer and industrial applications.

LATIN AMERICA MEMRISTOR MARKET ANALYSIS

In Latin America, the memristor market is shaped by the rising use of advanced electronics and the expanding demand for energy-efficient solutions. Reports indicate that the consumer electronics market in Latin America is expected to see a strong CAGR of 8.4% between 2022 and 2027. As countries in the region continue to industrialize and expand their technological capabilities, there is a rising demand for innovative memory solutions that can support applications like telecommunications, healthcare, and automotive. Memristors offer a unique advantage in these industries due to their low power consumption, high-speed data processing, and non-volatile nature, making them ideal for a wide range of applications. In line with this, the increasing emphasis on sustainability and energy efficiency in Latin America is prompting industries to look for alternative memory technologies that align with these goals.

MIDDLE EAST AND AFRICA MEMRISTOR MARKET ANALYSIS

The increasing investments in technological infrastructure and digital transformation in the Middle East and Africa (MEA) is catalyzing the demand for memristors. According to the IMARC Group, Saudi Arabia digital transformation market size is projected to exhibit a growth rate (CAGR) of 27.90% during 2024-2032. Governing agencies and enterprises in the region are prioritizing innovation in industries like energy, healthcare, and telecommunications, where memristor technology can offer significant benefits in terms of data storage, speed, and energy efficiency. Besides this, the rising demand for smart devices, coupled with growing awareness of the need for sustainable electronics, is expected to spur the adoption of memristors across various sectors in the MEA region.

COMPETITIVE LANDSCAPE:

One of the main strategies that major players in the memristor market have been using is an aggressive focus on research and development (R&D). Memristors are still at the nascent stages of commercialization, and there is enormous potential for disrupting conventional computing architectures. As such, companies are investing heavily in developing advanced materials, architectures, and manufacturing techniques. To speed up the commercialization of memristor technology, market players are making strategic alliances with research institutions, universities, and other technology companies. These partnerships will allow them to access leading-edge research, share resources, and collaborate in tackling industry challenges. Moreover, collaborations between memristor manufacturers and software development companies are becoming increasingly popular. This is especially relevant for creating optimized software frameworks and algorithms for memristor-based systems, thereby driving memristor market demand. As sustainability becomes the concern in every industry, memristor manufacturers are placing a great emphasis on the energy efficiency of their solutions. In any case, memristors consume much less power than conventional memory technologies do.

The report provides a comprehensive analysis of the competitive landscape in the memristor market with detailed profiles of all major companies, including:

  • Avalanche Technology
  • Crossbar Inc.
  • Everspin Technologies Inc.
  • Fujitsu Semiconductor Memory Solution (Fujitsu Limited)
  • Honeywell International Inc.
  • Knowm Inc.
  • Renesas Electronics Corporation
  • STMicroelectronics
  • Weebit Nano.

KEY QUESTIONS ANSWERED IN THIS REPORT

1. How big is the memristor market?

2. What is the future outlook of memristor market?

3. What are the key factors driving the memristor market?

4. Which region accounts for the largest memristor market share?

5. Which are the leading companies in the global memristor market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Memristor Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Type

  • 6.1 Molecular and Ionic Film Memristor
    • 6.1.1 Market Trends
    • 6.1.2 Key Segments
      • 6.1.2.1 Titanium Dioxide Memristor
      • 6.1.2.2 Polymeric Memristor
      • 6.1.2.3 Others
    • 6.1.3 Market Forecast
  • 6.2 Spin Based and Magnetic Memristor
    • 6.2.1 Market Trends
    • 6.2.2 Key Segments
      • 6.2.2.1 Spintronic Memristor
      • 6.2.2.2 Spin Torque Transfer (STT) MRAM
    • 6.2.3 Market Forecast

7 Market Breakup by Industry Vertical

  • 7.1 Electronics
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 IT and Telecommunication
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast
  • 7.3 Industrial
    • 7.3.1 Market Trends
    • 7.3.2 Market Forecast
  • 7.4 Aerospace and Defense
    • 7.4.1 Market Trends
    • 7.4.2 Market Forecast
  • 7.5 Automotive
    • 7.5.1 Market Trends
    • 7.5.2 Market Forecast
  • 7.6 Healthcare
    • 7.6.1 Market Trends
    • 7.6.2 Market Forecast

8 Market Breakup by Region

  • 8.1 North America
    • 8.1.1 United States
      • 8.1.1.1 Market Trends
      • 8.1.1.2 Market Forecast
    • 8.1.2 Canada
      • 8.1.2.1 Market Trends
      • 8.1.2.2 Market Forecast
  • 8.2 Asia-Pacific
    • 8.2.1 China
      • 8.2.1.1 Market Trends
      • 8.2.1.2 Market Forecast
    • 8.2.2 Japan
      • 8.2.2.1 Market Trends
      • 8.2.2.2 Market Forecast
    • 8.2.3 India
      • 8.2.3.1 Market Trends
      • 8.2.3.2 Market Forecast
    • 8.2.4 South Korea
      • 8.2.4.1 Market Trends
      • 8.2.4.2 Market Forecast
    • 8.2.5 Australia
      • 8.2.5.1 Market Trends
      • 8.2.5.2 Market Forecast
    • 8.2.6 Indonesia
      • 8.2.6.1 Market Trends
      • 8.2.6.2 Market Forecast
    • 8.2.7 Others
      • 8.2.7.1 Market Trends
      • 8.2.7.2 Market Forecast
  • 8.3 Europe
    • 8.3.1 Germany
      • 8.3.1.1 Market Trends
      • 8.3.1.2 Market Forecast
    • 8.3.2 France
      • 8.3.2.1 Market Trends
      • 8.3.2.2 Market Forecast
    • 8.3.3 United Kingdom
      • 8.3.3.1 Market Trends
      • 8.3.3.2 Market Forecast
    • 8.3.4 Italy
      • 8.3.4.1 Market Trends
      • 8.3.4.2 Market Forecast
    • 8.3.5 Spain
      • 8.3.5.1 Market Trends
      • 8.3.5.2 Market Forecast
    • 8.3.6 Russia
      • 8.3.6.1 Market Trends
      • 8.3.6.2 Market Forecast
    • 8.3.7 Others
      • 8.3.7.1 Market Trends
      • 8.3.7.2 Market Forecast
  • 8.4 Latin America
    • 8.4.1 Brazil
      • 8.4.1.1 Market Trends
      • 8.4.1.2 Market Forecast
    • 8.4.2 Mexico
      • 8.4.2.1 Market Trends
      • 8.4.2.2 Market Forecast
    • 8.4.3 Others
      • 8.4.3.1 Market Trends
      • 8.4.3.2 Market Forecast
  • 8.5 Middle East and Africa
    • 8.5.1 Market Trends
    • 8.5.2 Market Breakup by Country
    • 8.5.3 Market Forecast

9 SWOT Analysis

  • 9.1 Overview
  • 9.2 Strengths
  • 9.3 Weaknesses
  • 9.4 Opportunities
  • 9.5 Threats

10 Value Chain Analysis

11 Porters Five Forces Analysis

  • 11.1 Overview
  • 11.2 Bargaining Power of Buyers
  • 11.3 Bargaining Power of Suppliers
  • 11.4 Degree of Competition
  • 11.5 Threat of New Entrants
  • 11.6 Threat of Substitutes

12 Price Analysis

13 Competitive Landscape

  • 13.1 Market Structure
  • 13.2 Key Players
  • 13.3 Profiles of Key Players
    • 13.3.1 Avalanche Technology
      • 13.3.1.1 Company Overview
      • 13.3.1.2 Product Portfolio
    • 13.3.2 Crossbar Inc.
      • 13.3.2.1 Company Overview
      • 13.3.2.2 Product Portfolio
    • 13.3.3 Everspin Technologies Inc.
      • 13.3.3.1 Company Overview
      • 13.3.3.2 Product Portfolio
      • 13.3.3.3 Financials
    • 13.3.4 Fujitsu Semiconductor Memory Solution (Fujitsu Limited)
      • 13.3.4.1 Company Overview
      • 13.3.4.2 Product Portfolio
    • 13.3.5 Honeywell International Inc.
      • 13.3.5.1 Company Overview
      • 13.3.5.2 Product Portfolio
      • 13.3.5.3 Financials
      • 13.3.5.4 SWOT Analysis
    • 13.3.6 Knowm Inc.
      • 13.3.6.1 Company Overview
      • 13.3.6.2 Product Portfolio
    • 13.3.7 Renesas Electronics Corporation
      • 13.3.7.1 Company Overview
      • 13.3.7.2 Product Portfolio
      • 13.3.7.3 Financials
      • 13.3.7.4 SWOT Analysis
    • 13.3.8 STMicroelectronics
      • 13.3.8.1 Company Overview
      • 13.3.8.2 Product Portfolio
    • 13.3.9 Weebit Nano
      • 13.3.9.1 Company Overview
      • 13.3.9.2 Product Portfolio
      • 13.3.9.3 Financials
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