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市场调查报告书
商品编码
1822472

2032 年神经型态电子市场预测：按产品、组件、部署模式、应用、最终用户和地区进行的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，全球神经型态电子市场预计在 2025 年达到 1.963 亿美元，到 2032 年将达到 22.975 亿美元，预测期内复合年增长率为 42.1%。

神经型态电子学是一个工程领域，专注于设计模拟人脑结构和功能的电路和系统。这些系统使用模拟和数位元件来复製学习、记忆和模式识别等神经过程。透过模拟生物神经网络，神经型态设备提供了节能且适应性强的计算解决方案。神经型态设备在人工智慧、机器人技术和感知处理领域的应用日益广泛，其目标是透过受大脑启发的硬体架构来提升机器智慧。

节能运算的需求日益增长

传统运算架构难以满足边缘设备的效率需求，这促使各行各业探索受大脑启发的模型。神经型态晶片模拟人脑的神经结构，在维持高运算效能的同时显着降低能耗。这在医疗保健、国防和物联网等领域尤其重要，因为低延迟和低功耗运作至关重要。随着全球资料量的激增，对永续和可扩展运算解决方案的需求正在加速神经型态技术的普及。

尚未开发的软体和生态系统

儘管硬体技术发展前景光明，但由于软体框架不完善和开发工具有限，神经型态电子市场仍面临挑战。缺乏标准化的程式设计环境和模拟平台阻碍了该技术在整个产业的广泛应用。此外，与现有人工智慧模型和机器学习流程的整合仍然很复杂，需要专业知识和客製化开发。这种碎片化的生态系统减缓了创新速度，并延长了神经型态解决方案的上市时间。

非常适合自动驾驶汽车、机器人和无人机

神经型态处理器是需要在动态环境中快速决策和自适应学习的自主系统的理想选择。它们能够以极低的能耗即时处理感测数据，使其成为机器人、无人机和自动驾驶汽车的理想选择。随着各行各业向去中心化和边缘智慧迈进，神经型态电子设备为传统人工智慧加速器提供了极具吸引力的替代方案。物流、农业和国防领域对自主技术日益增长的兴趣预计将为神经型态解决方案开闢新的成长途径。

长期可靠性不确定

与传统的硅基处理器不同，神经型态晶片通常采用新型材料和架构，并且缺乏广泛的现场测试。这引发了人们对其在关键任务应用中的耐用性、容错性和扩充性的质疑。此外，由于缺乏标准化的基准和生命週期评估，相关人员难以评估风险。随着神经型态系统从实验室走向商业部署，确保强大的品质保证和可靠性指标对于赢得业界信任至关重要。

COVID-19的影响

新冠疫情对神经型态电子市场产生了双重影响。供应链中断和研发预算削减暂时推迟了硬体的开发和部署。同时，这场危机加速了数位转型和远端自动化，激发了人们对智慧边缘运算的兴趣。医疗保健和製造业等行业已开始研究用于非接触式监控、预测性维护和自适应控制系统的神经型态解决方案。

预计预测期内，脉衝神经网路 (SNN) 处理器细分市场将占据最大份额

预计在预测期内，脉衝神经网路 (SNN) 处理器领域将占据最大的市场份额。这些处理器透过离散脉衝传输资讯来模拟生物神经元，从而实现非同步事件驱动的计算。这种架构显着降低了功耗，同时增强了即时回应能力，使其成为边缘设备和嵌入式系统的理想选择。 SNN 在感测处理、异常侦测和自适应控制等应用中越来越受欢迎。

语音和自然语言处理领域预计将在预测期内实现最高的复合年增长率

随着对话式人工智慧和语音介面成为主流，以及神经型态晶片为传统自然语言处理引擎提供低功耗替代方案，语音和自然语言处理领域预计将在预测期内实现最高成长率。神经形态晶片能够以极低的延迟即时处理听觉讯号，因此非常适合智慧助理、助听器和多语言翻译设备。个人化和情境感知沟通工具的需求激增，正在推动神经型态语言处理模式的创新。

比最大的地区

在预测期内，北美预计将占据最大的市场份额，这得益于其强大的研发基础设施以及在国防、医疗保健和消费电子领域的早期应用。政府支持人工智慧创新的措施以及对自主系统的策略性投资，正在进一步推动市场成长。此外，科技巨头和创业投资的入驻也正在加速其商业化进程。北美对节能安全的运算解决方案的关注，使其成为神经型态技术部署的关键枢纽。

复合年增长率最高的地区

在预测期内，由于工业化进程加快、机器人技术应用日益普及以及智慧基础设施投资不断增加，亚太地区预计将呈现最高的复合年增长率。中国、日本和韩国等国家正积极探索神经型态解决方案，以应用于从智慧城市到智慧製造等各种应用领域。随着对边缘人工智慧和自主系统的需求不断增长，亚太地区正逐渐成为神经型态创新蓬勃发展的前沿地区。

免费客製化服务

订阅此报告的用户将获得以下免费自订选项之一：

  • 公司简介
    • 全面分析其他市场参与者（最多 3 家公司）
    • 主要企业的SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 产品分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球神经型态电子市场（按产品）

  • 神经型态AI ASIC
  • 基于忆阻器的神经型态晶片
  • 脉衝神经网路 (SNN) 处理器
  • 混合讯号神经型态晶片
  • 模拟神经型态晶片
  • 神经型态音讯处理器
  • 神经型态感测器模组
  • 其他的

6. 全球神经型态电子市场（按组件）

  • 硬体
    • 神经型态晶片
    • 神经型态记忆
    • 感测器设备
  • 软体
    • 演算法框架
    • 作业系统和 API
    • 开发工具
  • 其他的

7. 全球神经型态电子市场（依部署模式）

  • 边缘
  • 本地部署
  • 杂交种

8. 全球神经型态电子市场（依应用）

  • 脸部辨识
  • 讯号处理
  • 物体侦测
  • 监控与安保
  • 医学影像
  • 语音和自然语言处理
  • 感测器融合
  • 脑机介面
  • 其他的

9. 全球神经型态电子市场（依最终用户）

  • 家电
  • 车
  • 航太/国防
  • 医疗保健和医疗设备
  • 工业物联网和机器人技术
  • 资讯科技/通讯
  • 金融服务
  • 其他的

第 10 章全球神经型态电子市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章 公司概况

  • 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.