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1822472

2032 年神經型態電子市場預測：按產品、組件、部署模式、應用、最終用戶和地區進行的全球分析

Neuromorphic Electronics Market Forecasts to 2032 - Global Analysis By Product, Component, Deployment Mode, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球神經型態電子市場預計在 2025 年達到 1.963 億美元，到 2032 年將達到 22.975 億美元，預測期內複合年成長率為 42.1%。

神經型態電子學是一個工程領域，專注於設計模擬人腦結構和功能的電路和系統。這些系統使用模擬和數位元件來複製學習、記憶和模式識別等神經過程。透過模擬生物神經網路，神經型態設備提供了節能且適應性強的計算解決方案。神經型態設備在人工智慧、機器人技術和感知處理領域的應用日益廣泛，其目標是透過受大腦啟發的硬體架構來提升機器智慧。

節能運算的需求日益成長

傳統運算架構難以滿足邊緣設備的效率需求，這促使各行各業探索受大腦啟發的模型。神經型態晶片模擬人腦的神經結構，在維持高運算效能的同時顯著降低能耗。這在醫療保健、國防和物聯網等領域尤其重要，因為低延遲和低功耗運作至關重要。隨著全球資料量的激增，對永續和可擴展運算解決方案的需求正在加速神經型態技術的普及。

尚未開發的軟體和生態系統

儘管硬體技術發展前景光明，但由於軟體框架不完善和開發工具有限，神經型態電子市場仍面臨挑戰。缺乏標準化的程式設計環境和模擬平台阻礙了該技術在整個產業的廣泛應用。此外，與現有人工智慧模型和機器學習流程的整合仍然很複雜，需要專業知識和客製化開發。這種碎片化的生態系統減緩了創新速度，並延長了神經型態解決方案的上市時間。

非常適合自動駕駛汽車、機器人和無人機

神經型態處理器是需要在動態環境中快速決策和自適應學習的自主系統的理想選擇。它們能夠以極低的能耗即時處理感測數據，使其成為機器人、無人機和自動駕駛汽車的理想選擇。隨著各行各業向去中心化和邊緣智慧邁進，神經型態電子設備為傳統人工智慧加速器提供了極具吸引力的替代方案。物流、農業和國防領域對自主技術日益成長的興趣預計將為神經型態解決方案開闢新的成長途徑。

長期可靠性不確定

與傳統的矽基處理器不同，神經型態晶片通常採用新型材料和架構，並且缺乏廣泛的現場測試。這引發了人們對其在關鍵任務應用中的耐用性、容錯性和擴充性的質疑。此外，由於缺乏標準化的基準和生命週期評估，相關人員難以評估風險。隨著神經型態系統從實驗室走向商業部署，確保強大的品質保證和可靠性指標對於贏得業界信任至關重要。

COVID-19的影響

新冠疫情對神經型態電子市場產生了雙重影響。供應鏈中斷和研發預算削減暫時推遲了硬體的開發和部署。同時，這場危機加速了數位轉型和遠端自動化，激發了人們對智慧邊緣運算的興趣。醫療保健和製造業等行業已開始研究用於非接觸式監控、預測性維護和自適應控制系統的神經型態解決方案。

預計預測期內，脈衝神經網路 (SNN) 處理器細分市場將佔據最大佔有率

預計在預測期內，脈衝神經網路 (SNN) 處理器領域將佔據最大的市場佔有率。這些處理器透過離散脈衝傳輸資訊來模擬生物神經元，從而實現非同步事件驅動的計算。這種架構顯著降低了功耗，同時增強了即時回應能力，使其成為邊緣設備和嵌入式系統的理想選擇。 SNN 在感測處理、異常偵測和自適應控制等應用中越來越受歡迎。

語音和自然語言處理領域預計將在預測期內實現最高的複合年成長率

隨著對話式人工智慧和語音介面成為主流，以及神經型態晶片為傳統自然語言處理引擎提供低功耗替代方案，語音和自然語言處理領域預計將在預測期內實現最高成長率。神經形態晶片能夠以極低的延遲即時處理聽覺訊號，因此非常適合智慧助理、助聽器和多語言翻譯設備。個人化和情境感知溝通工具的需求激增，正在推動神經型態語言處理模式的創新。

比最大的地區

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其強大的研發基礎設施以及在國防、醫療保健和消費電子領域的早期應用。政府支持人工智慧創新的措施以及對自主系統的策略性投資，正在進一步推動市場成長。此外，科技巨頭和創業投資的入駐也正在加速其商業化進程。北美對節能安全的運算解決方案的關注，使其成為神經型態技術部署的關鍵樞紐。

複合年成長率最高的地區

在預測期內，由於工業化進程加快、機器人技術應用日益普及以及智慧基礎設施投資不斷增加，亞太地區預計將呈現最高的複合年成長率。中國、日本和韓國等國家正積極探索神經型態解決方案，以應用於從智慧城市到智慧製造等各種應用領域。隨著對邊緣人工智慧和自主系統的需求不斷成長，亞太地區正逐漸成為神經型態創新蓬勃發展的前沿地區。

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目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 產品分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球神經型態電子市場（按產品）

  • 神經型態AI ASIC
  • 基於憶阻器的神經型態晶片
  • 脈衝神經網路 (SNN) 處理器
  • 混合訊號神經型態晶片
  • 模擬神經型態晶片
  • 神經型態音訊處理器
  • 神經型態感測器模組
  • 其他

6. 全球神經型態電子市場（按組件）

  • 硬體
    • 神經型態晶片
    • 神經型態記憶
    • 感測器設備
  • 軟體
    • 演算法框架
    • 作業系統和 API
    • 開發工具
  • 其他

7. 全球神經型態電子市場（依部署模式）

  • 邊緣
  • 本地部署
  • 混合

8. 全球神經型態電子市場（依應用）

  • 臉部辨識
  • 訊號處理
  • 物體偵測
  • 監控與安保
  • 醫學影像
  • 語音和自然語言處理
  • 感測器融合
  • 腦機介面
  • 其他

9. 全球神經型態電子市場（依最終用戶）

  • 家電
  • 車
  • 航太/國防
  • 醫療保健和醫療設備
  • 工業物聯網和機器人技術
  • 資訊科技/通訊
  • 金融服務
  • 其他

第 10 章全球神經型態電子市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司概況

  • Intel Corporation
  • IBM Corporation
  • Qualcomm Technologies, Inc.
  • BrainChip Holdings Ltd.
  • Samsung Electronics Co., Ltd.
  • GrAI Matter Labs
  • Innatera Nanosystems BV
  • General Vision Inc.
  • SynSense AG
  • HRL Laboratories, LLC
  • NVIDIA Corporation
  • SK hynix Inc.
  • Applied Brain Research, Inc.
  • Prophesee SA
  • Mythic Inc.
  • MemryX Inc.
  • Knowm Inc.
  • Polyn Technology
  • Hewlett Packard Enterprise（HPE）
  • Vicarious Corp
Product Code: SMRC31227

According to Stratistics MRC, the Global Neuromorphic Electronics Market is accounted for $196.3 million in 2025 and is expected to reach $2,297.5 million by 2032 growing at a CAGR of 42.1% during the forecast period. Neuromorphic electronics is a field of engineering focused on designing circuits and systems that mimic the architecture and functionality of the human brain. These systems use analog and digital components to replicate neural processes such as learning, memory, and pattern recognition. By emulating biological neural networks, neuromorphic devices offer energy-efficient and adaptive computing solutions. They are increasingly applied in artificial intelligence, robotics, and sensory processing, aiming to enhance machine intelligence through brain-inspired hardware architectures.

Market Dynamics:

Driver:

Increasing need for energy-efficient computing

Traditional computing architectures struggle to meet the efficiency needs of edge devices, prompting industries to explore brain-inspired models. Neuromorphic chips, which emulate the neural structure of the human brain, offer significant reductions in energy usage while maintaining high computational performance. This is particularly valuable in sectors like healthcare, defense, and IoT, where low-latency and low-power operations are critical. As data volumes surge globally, the need for sustainable and scalable computing solutions is accelerating the adoption of neuromorphic technologies.

Restraint:

Immature software and ecosystem

Despite promising hardware advancements, the neuromorphic electronics market faces challenges due to underdeveloped software frameworks and limited developer tools. The lack of standardized programming environments and simulation platforms hinders widespread implementation across industries. Moreover, integration with existing AI models and machine learning pipelines remains complex, requiring specialized knowledge and custom development. This fragmented ecosystem slows down innovation and increases the time-to-market for neuromorphic solutions.

Opportunity:

Ideal for autonomous vehicles, robotics, and drones

Neuromorphic processors are uniquely suited for autonomous systems that demand rapid decision-making and adaptive learning in dynamic environments. Their ability to process sensory data in real time with minimal energy makes them ideal for robotics, drones, and self-driving vehicles. As industries push toward decentralization and edge intelligence, neuromorphic electronics offer a compelling alternative to conventional AI accelerators. The growing interest in autonomous technologies across logistics, agriculture, and defense is expected to unlock new growth avenues for neuromorphic solutions.

Threat:

Uncertain long-term reliability

Unlike traditional silicon-based processors, neuromorphic chips often use novel materials and architectures that lack extensive field testing. This raises questions about their durability, error tolerance, and scalability in mission-critical applications. Additionally, the absence of standardized benchmarks and lifecycle assessments makes it difficult for stakeholders to evaluate risk. As neuromorphic systems move from research labs to commercial deployment, ensuring robust quality assurance and reliability metrics will be essential to gain industry trust.

Covid-19 Impact:

The COVID-19 pandemic had a dual impact on the neuromorphic electronics market. On one hand, supply chain disruptions and reduced R&D budgets temporarily slowed hardware development and deployment. On the other hand, the crisis accelerated digital transformation and remote automation, increasing interest in intelligent edge computing. Sectors like healthcare and manufacturing began exploring neuromorphic solutions for contactless monitoring, predictive maintenance, and adaptive control systems.

The spiking neural network (SNN) processors segment is expected to be the largest during the forecast period

The spiking neural network (SNN) processors segment is expected to account for the largest market share during the forecast period as these processors mimic biological neurons by transmitting information through discrete spikes, enabling asynchronous and event-driven computation. Their architecture significantly reduces power consumption while enhancing real-time responsiveness, making them ideal for edge devices and embedded systems. SNNs are gaining traction in applications such as sensory processing, anomaly detection, and adaptive control.

The speech & natural language processing segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the speech & natural language processing segment is predicted to witness the highest growth rate because conversational AI and voice-enabled interfaces become mainstream, neuromorphic chips offer a low-power alternative to traditional NLP engines. Their ability to process auditory signals in real time with minimal latency makes them suitable for smart assistants, hearing aids, and multilingual translation devices. The surge in demand for personalized and context-aware communication tools is driving innovation in neuromorphic NLP models.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share driven by robust R&D infrastructure and early adoption across defense, healthcare, and consumer electronics. Government initiatives supporting AI innovation and strategic investments in autonomous systems are further boosting market growth. Additionally, the presence of tech giants and venture capital funding is accelerating commercialization efforts. North America's strong emphasis on energy-efficient and secure computing solutions positions it as a key hub for neuromorphic technology deployment.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR fueled by rapid industrialization, expanding robotics adoption, and increasing investments in smart infrastructure. Countries like China, Japan, and South Korea are actively exploring neuromorphic solutions for applications ranging from smart cities to intelligent manufacturing. As demand for edge AI and autonomous systems rises, Asia Pacific is emerging as a vibrant growth frontier for neuromorphic innovation.

Key players in the market

Some of the key players in Neuromorphic Electronics Market include Intel Corporation, IBM Corporation, Qualcomm Technologies, Inc., BrainChip Holdings Ltd., Samsung Electronics Co., Ltd., GrAI Matter Labs, Innatera Nanosystems B.V., General Vision Inc., SynSense AG, HRL Laboratories, LLC, NVIDIA Corporation, SK hynix Inc., Applied Brain Research, Inc., Prophesee SA, Mythic Inc., MemryX Inc., Knowm Inc., Polyn Technology, Hewlett Packard Enterprise (HPE) and Vicarious Corp.

Key Developments:

In September 2025, NVIDIA invested $5B in Intel and announced joint development of AI infrastructure and PC chips. Intel will manufacture custom CPUs integrated with NVIDIA's NVLink and RTX GPU chiplets.

In July 2025, HRL released spinQICK, an open-source extension for controlling solid-state spin-qubits using affordable FPGA hardware. It enables rapid development of quantum computing experiments and supports academic outreach.

In February 2025, SynSense acquired 100% of iniVation to form the world's first fully neuromorphic end-to-end sensing and processing company. The merger combines vision sensors and processors for robotics, aerospace, and consumer electronics.

Products Covered:

  • Neuromorphic AI ASICs
  • Memristor-Based Neuromorphic Chips
  • Spiking Neural Network (SNN) Processors
  • Mixed-Signal Neuromorphic Chips
  • Analog Neuromorphic Chips
  • Neuromorphic Audio Processors
  • Neuromorphic Sensor Modules
  • Other Products

Components Covered:

  • Hardware
  • Software
  • Other Components

Deployment Modes Covered:

  • Edge
  • On-premises
  • Hybrid

Applications Covered:

  • Facial Recognition
  • Signal Processing
  • Object Detection
  • Surveillance & Security
  • Medical Imaging
  • Speech & Natural Language Processing
  • Sensor Fusion
  • Brain-Computer Interfaces
  • Other Applications

End Users Covered:

  • Consumer Electronics
  • Automotive
  • Aerospace & Defense
  • Healthcare & Medical Devices
  • Industrial IoT & Robotics
  • IT & Telecommunication
  • Financial Services
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Product Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Neuromorphic Electronics Market, By Product

  • 5.1 Introduction
  • 5.2 Neuromorphic AI ASICs
  • 5.3 Memristor-Based Neuromorphic Chips
  • 5.4 Spiking Neural Network (SNN) Processors
  • 5.5 Mixed-Signal Neuromorphic Chips
  • 5.6 Analog Neuromorphic Chips
  • 5.7 Neuromorphic Audio Processors
  • 5.8 Neuromorphic Sensor Modules
  • 5.9 Other Products

6 Global Neuromorphic Electronics Market, By Component

  • 6.1 Introduction
  • 6.2 Hardware
    • 6.2.1 Neuromorphic Chips
    • 6.2.2 Neuromorphic Memory
    • 6.2.3 Sensors & Devices
  • 6.3 Software
    • 6.3.1 Algorithms & Frameworks
    • 6.3.2 Operating Systems & APIs
    • 6.3.3 Development Tools
  • 6.4 Other Components

7 Global Neuromorphic Electronics Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 Edge
  • 7.3 On-premises
  • 7.4 Hybrid

8 Global Neuromorphic Electronics Market, By Application

  • 8.1 Introduction
  • 8.2 Facial Recognition
  • 8.3 Signal Processing
  • 8.4 Object Detection
  • 8.5 Surveillance & Security
  • 8.6 Medical Imaging
  • 8.7 Speech & Natural Language Processing
  • 8.8 Sensor Fusion
  • 8.9 Brain-Computer Interfaces
  • 8.10 Other Applications

9 Global Neuromorphic Electronics Market, By End User

  • 9.1 Introduction
  • 9.2 Consumer Electronics
  • 9.3 Automotive
  • 9.4 Aerospace & Defense
  • 9.5 Healthcare & Medical Devices
  • 9.6 Industrial IoT & Robotics
  • 9.7 IT & Telecommunication
  • 9.8 Financial Services
  • 9.9 Other End Users

10 Global Neuromorphic Electronics Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Intel Corporation
  • 12.2 IBM Corporation
  • 12.3 Qualcomm Technologies, Inc.
  • 12.4 BrainChip Holdings Ltd.
  • 12.5 Samsung Electronics Co., Ltd.
  • 12.6 GrAI Matter Labs
  • 12.7 Innatera Nanosystems B.V.
  • 12.8 General Vision Inc.
  • 12.9 SynSense AG
  • 12.10 HRL Laboratories, LLC
  • 12.11 NVIDIA Corporation
  • 12.12 SK hynix Inc.
  • 12.13 Applied Brain Research, Inc.
  • 12.14 Prophesee SA
  • 12.15 Mythic Inc.
  • 12.16 MemryX Inc.
  • 12.17 Knowm Inc.
  • 12.18 Polyn Technology
  • 12.19 Hewlett Packard Enterprise (HPE)
  • 12.20 Vicarious Corp

List of Tables

  • Table 1 Global Neuromorphic Electronics Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Neuromorphic Electronics Market Outlook, By Product (2024-2032) ($MN)
  • Table 3 Global Neuromorphic Electronics Market Outlook, By Neuromorphic AI ASICs (2024-2032) ($MN)
  • Table 4 Global Neuromorphic Electronics Market Outlook, By Memristor-Based Neuromorphic Chips (2024-2032) ($MN)
  • Table 5 Global Neuromorphic Electronics Market Outlook, By Spiking Neural Network (SNN) Processors (2024-2032) ($MN)
  • Table 6 Global Neuromorphic Electronics Market Outlook, By Mixed-Signal Neuromorphic Chips (2024-2032) ($MN)
  • Table 7 Global Neuromorphic Electronics Market Outlook, By Analog Neuromorphic Chips (2024-2032) ($MN)
  • Table 8 Global Neuromorphic Electronics Market Outlook, By Neuromorphic Audio Processors (2024-2032) ($MN)
  • Table 9 Global Neuromorphic Electronics Market Outlook, By Neuromorphic Sensor Modules (2024-2032) ($MN)
  • Table 10 Global Neuromorphic Electronics Market Outlook, By Other Products (2024-2032) ($MN)
  • Table 11 Global Neuromorphic Electronics Market Outlook, By Component (2024-2032) ($MN)
  • Table 12 Global Neuromorphic Electronics Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 13 Global Neuromorphic Electronics Market Outlook, By Neuromorphic Chips (2024-2032) ($MN)
  • Table 14 Global Neuromorphic Electronics Market Outlook, By Neuromorphic Memory (2024-2032) ($MN)
  • Table 15 Global Neuromorphic Electronics Market Outlook, By Sensors & Devices (2024-2032) ($MN)
  • Table 16 Global Neuromorphic Electronics Market Outlook, By Software (2024-2032) ($MN)
  • Table 17 Global Neuromorphic Electronics Market Outlook, By Algorithms & Frameworks (2024-2032) ($MN)
  • Table 18 Global Neuromorphic Electronics Market Outlook, By Operating Systems & APIs (2024-2032) ($MN)
  • Table 19 Global Neuromorphic Electronics Market Outlook, By Development Tools (2024-2032) ($MN)
  • Table 20 Global Neuromorphic Electronics Market Outlook, By Other Components (2024-2032) ($MN)
  • Table 21 Global Neuromorphic Electronics Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 22 Global Neuromorphic Electronics Market Outlook, By Edge (2024-2032) ($MN)
  • Table 23 Global Neuromorphic Electronics Market Outlook, By On-premises (2024-2032) ($MN)
  • Table 24 Global Neuromorphic Electronics Market Outlook, By Hybrid (2024-2032) ($MN)
  • Table 25 Global Neuromorphic Electronics Market Outlook, By Application (2024-2032) ($MN)
  • Table 26 Global Neuromorphic Electronics Market Outlook, By Facial Recognition (2024-2032) ($MN)
  • Table 27 Global Neuromorphic Electronics Market Outlook, By Signal Processing (2024-2032) ($MN)
  • Table 28 Global Neuromorphic Electronics Market Outlook, By Object Detection (2024-2032) ($MN)
  • Table 29 Global Neuromorphic Electronics Market Outlook, By Surveillance & Security (2024-2032) ($MN)
  • Table 30 Global Neuromorphic Electronics Market Outlook, By Medical Imaging (2024-2032) ($MN)
  • Table 31 Global Neuromorphic Electronics Market Outlook, By Speech & Natural Language Processing (2024-2032) ($MN)
  • Table 32 Global Neuromorphic Electronics Market Outlook, By Sensor Fusion (2024-2032) ($MN)
  • Table 33 Global Neuromorphic Electronics Market Outlook, By Brain-Computer Interfaces (2024-2032) ($MN)
  • Table 34 Global Neuromorphic Electronics Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 35 Global Neuromorphic Electronics Market Outlook, By End User (2024-2032) ($MN)
  • Table 36 Global Neuromorphic Electronics Market Outlook, By Consumer Electronics (2024-2032) ($MN)
  • Table 37 Global Neuromorphic Electronics Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 38 Global Neuromorphic Electronics Market Outlook, By Aerospace & Defense (2024-2032) ($MN)
  • Table 39 Global Neuromorphic Electronics Market Outlook, By Healthcare & Medical Devices (2024-2032) ($MN)
  • Table 40 Global Neuromorphic Electronics Market Outlook, By Industrial IoT & Robotics (2024-2032) ($MN)
  • Table 41 Global Neuromorphic Electronics Market Outlook, By IT & Telecommunication (2024-2032) ($MN)
  • Table 42 Global Neuromorphic Electronics Market Outlook, By Financial Services (2024-2032) ($MN)
  • Table 43 Global Neuromorphic Electronics Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.