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市场调查报告书
商品编码
1776691

2032 年神经型态计算市场预测：按组件、部署、应用、最终用户和地区进行的全球分析

Neuromorphic Computing Market Forecasts to 2032 - Global Analysis By Component (Hardware and Software), Deployment (Edge Computing and Cloud Computing), 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，全球神经型态计算市场预计在 2025 年达到 82.9 亿美元，到 2032 年将达到 301.2 亿美元，预测期内的复合年增长率为 20.23%。

神经型态运算是一项新兴技术，它透过模拟人脑的结构和行为，比传统计算系统更有效率地处理资讯。受神经网路和类脑架构的启发，神经型态系统使用忆阻器和脉衝神经网路等专用硬件，实现高速运算，同时显着降低功耗。这种方法在需要模式识别、感测资料处理和自适应学习的任务中表现出色，使其成为机器人、边缘运算和人工智慧应用的理想选择。此外，神经型态运算正成为迈向下一代智慧系统的革命性一步，以满足市场对节能人工智慧解决方案日益增长的需求。

根据 IBM 在《神经形态运算与工程》杂誌上发布的 2022 年主导蓝图，神经型态系统消耗的功率将比传统的冯诺依曼架构少得多，只需 20-30 兆瓦而不是数百兆瓦就有可能实现百万兆级次级运算。

对低功耗人工智慧硬体的需求不断增长

大型资料中心通常需要运行传统的人工智慧模型，尤其是需要大量能源和处理能力的深度学习架构。神经型态运算提供了模式转移，其灵感源于大脑能够以更少的能源处理资讯的能力。 IBM 的 True North 和英特尔的 Loihi 等晶片经过精心设计，能够以更低的功耗执行复杂的运算。此外，它们非常适合穿戴式装置、无人机和行动机器人等电池受限的应用，在这些应用中，效率至关重要，同时又不损害智慧。

缺乏标准化的程式设计模型和架构

与遵循着名冯诺依曼或哈佛架构的传统运算系统相比，神经型态运算缺乏程式设计模型、软体介面和硬体设计的业界标准。每个晶片通常都需要客製化学习演算法、编译器和工具链。这种碎片化带来了相容性问题，使开发人员和系统整合商难以创建可扩展且可携式的应用程式。此外，在建立单一生态系之前，神经形态运算的应用可能仍仅限于研究环境和专业应用。

神经技术和脑机介面（BMI）的发展

神经型态计算的生物学根源使其非常适合神经科学应用，尤其是神经义肢和脑机介面。它能够即时处理脑电图 (EEG) 和肌电图 (EMG) 等生物讯号，使人机互动更加自然。它在残障人士控制轮椅、机械肢体和通讯设备等辅助科技领域的潜力尤其广阔。随着神经技术和生物医学工程的进步，神经型态平台为以低功耗和低延迟解密复杂的脑波讯号提供了完美的运算基础。

与知名AI硬体技术竞争

神经型态面临来自 GPU、TPU、FPGA 甚至定制 ASIC 等知名 AI 加速器的激烈竞争。这些平台在深度学习和推理等 AI 任务中拥有成熟的能力，并拥有成熟的生态系统和强大的开发者支援。谷歌和 NVIDIA 等公司也不断推出功耗更低的全新升级版 AI 晶片。鑑于目前平台上已有的软体相容性和基础设施投资，神经型态系统的优势可能会被传统 AI 硬体的快速发展所掩盖。

COVID-19的影响：

新冠疫情对神经型态计算市场产生了许多影响。短期内，半导体生产延迟、研发预算削减以及全球供应链中断阻碍了硬体开发，并减缓了商业部署。然而，疫情加速了数位转型，并凸显了对能够在本地处理数据的智慧、节能係统的需求，尤其是在边缘人工智慧应用、医疗保健和远端监控领域。这种转变促使人们对神经型态运算作为一种低功耗、即时处理解决方案的兴趣日益浓厚。儘管初期进展缓慢，但后疫情时代的环境正在刺激神经型态技术的研究和投资。

预计影像处理领域将成为预测期内最大的领域

预计影像处理领域将在预测期内占据最大的市场占有率。这种主导地位源自于神经型态架构透过事件驱动的平行运算高效处理高速视觉数据，从而模拟人类视觉皮层。自动驾驶汽车、监控系统和医学影像处理等需要即时影像识别和分类的应用，大大受益于神经型态系统的低功耗和闪电般的反应时间。由于其比传统技术更高的效率、速度和可扩展性，儘管边缘运算和智慧视觉系统快速成长，影像处理仍将继续占据市场主导地位。

预计预测期内汽车产业将以最高的复合年增长率成长。

预计汽车产业将在预测期内实现最高成长率。自动驾驶汽车和高级驾驶辅助系统 (ADAS) 的日益普及是这项快速扩张的主要驱动力，这源于对极低延迟和功耗的海量感测资料进行即时处理的需求。神经型态晶片采用事件驱动的类脑架构，非常适合在时间敏感的驾驶情况下实现安全节能的决策。此外，随着汽车产业逐步迈向 5 级自动驾驶和车联网 (V2X)通讯，神经型态处理器预计将在塑造下一代智慧汽车方面发挥关键作用。

占比最大的地区：

由于对尖端运算技术的大量投资以及 BrainChip、IBM 和 Intel 等大公司的强大影响力，预计北美将在预测期内占据最大的市场占有率。国防研究、人工智慧以及专注于基于脑的计算的学术计划的强大资金支持也有利于该地区。此外，北美在消费性电子、医疗保健、汽车和航空航太等产业早期采用人工智慧也推动了对神经型态硬体的需求。尤其是美国，透过政府支持的倡议和私营部门的创新引领神经型态研发，使该地区在技术开发和市场收益占有率方面占据主导地位。

复合年增长率最高的地区：

预计亚太地区将在预测期内实现最高的复合年增长率。快速的技术进步、机器人和人工智慧领域投资的不断增加，以及中国、日本、韩国和印度等国家政府对半导体创新的大力支持，是这一增长的主要驱动力。该地区不断扩张的电子製造基地以及智慧技术在家用电器、工业自动化和汽车领域的日益普及，推动了对节能即时运算解决方案的高需求。此外，不断扩展的神经型态系统学术和商业性研究，正在推动亚太地区成为下一代人工智慧硬体开发的全球中心。

提供免费客製化：

此报告的订阅者可以从以下免费自订选项中选择一项：

  • 公司简介
    • 对其他市场公司（最多 3 家公司）进行全面分析
    • 主要企业的SWOT分析（最多3家公司）
  • 地理细分
    • 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
  • 研究范围
  • 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
  • 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
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球神经型态计算市场（按组件）

  • 硬体
  • 软体

6. 全球神经型态运算市场（按部署）

  • 边缘运算
  • 云端运算

7. 全球神经型态计算市场（按应用）

  • 讯号处理
  • 影像处理
  • 资料处理
  • 物体侦测
  • 其他应用

8. 全球神经型态计算市场（依最终用户）

  • 家电
  • 车
  • 航太和国防
  • 卫生保健
  • 资讯科技/通讯
  • 产业
  • 其他最终用户

9. 全球神经型态计算市场（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
    • 南美洲其他地区
  • 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

第十一章 公司概况

  • Intel Corporation
  • HRL Laboratories, LLC
  • GrAI Matter Labs
  • IBM Corporation
  • Qualcomm Technologies, Inc.
  • Micron Technology Inc
  • BrainChip Holdings Ltd.
  • Hewlett Packard Enterprise（HPE）
  • Samsung Electronics Co. Ltd
  • Knowm Inc.
  • General Vision Inc.
  • SK Hynix Inc.
  • Vicarious FPC Inc.
  • Nepes Corporation
  • Gyrfalcon Technology Inc.
  • SynSense AG
Product Code: SMRC30022

According to Stratistics MRC, the Global Neuromorphic Computing Market is accounted for $8.29 billion in 2025 and is expected to reach $30.12 billion by 2032 growing at a CAGR of 20.23% during the forecast period. Neuromorphic computing is a new technology that processes information more effectively than conventional computing systems by simulating the composition and operations of the human brain. The use of specialized hardware, such as memristors and spiking neural networks, in neuromorphic systems, which are inspired by neural networks and brain-like architectures, allows for faster computation with much lower power consumption. This method is perfect for applications in robotics, edge computing, and artificial intelligence since it excels at tasks requiring pattern recognition, sensory data processing, and adaptive learning. Moreover, neuromorphic computing is gaining traction as a revolutionary step toward next-generation intelligent systems to meet the growing demand for energy-efficient AI solutions.

According to a 2022 IBM-led roadmap published in Neuromorphic Computing and Engineering, neuromorphic systems offer significantly lower power consumption than traditional von-Neumann architectures-potentially enabling exascale-level computing at only 20-30 MW instead of hundreds of megawatts.

Market Dynamics:

Driver:

Growing need for AI hardware that uses less energy

Large data centers are frequently needed to run traditional AI models, particularly deep learning architectures, which demand enormous amounts of energy and processing power. Neuromorphic computing offers a paradigm shift, drawing inspiration from the brain's capacity to process information with little energy. Chips such as IBM's True North and Intel's Loihi are made to carry out intricate calculations with significantly less power usage. Additionally, this makes them perfect for battery-limited applications where efficiency is essential without compromising intelligence, like wearable's, drones, and mobile robots.

Restraint:

Absence of standardized programming models and architecture

Neuromorphic computing does not have industry-wide standards for programming models, software interfaces, or hardware design, in contrast to traditional computing systems that adhere to well-known von Neumann or Harvard architectures. Custom learning algorithms, compilers, and toolchains are frequently needed for each chip. Compatibility problems brought on by this fragmentation make it challenging for developers and system integrators to create scalable and portable applications. Furthermore, adoption will continue to be restricted to research settings and specialized applications until a single ecosystem is established.

Opportunity:

Developments in neurotechnology and brain-machine interfaces (BMIs)

Due to its biological roots, neuromorphic computing is well suited for neuroscience applications, particularly neuroprosthetics and brain-machine interfaces. Because it can process bio-signals like EEG or EMG in real time, human-computer interaction can become more natural. The potential for mind-controlled wheelchairs, robotic limbs, and communication devices in assistive technologies for individuals with disabilities is particularly encouraging. As neurotechnology and biomedical engineering advance, neuromorphic platforms provide the perfect computational basis for decoding intricate brain signals with low power consumption and latency.

Threat:

Rivalry with well-known ai hardware technologies

There is fierce competition for neuromorphic computing from well-known AI accelerators such as GPUs, TPUs, FPGAs, and even custom ASICs. These platforms have established performance in AI tasks like deep learning and inference, as well as developed ecosystems and robust developer support. Companies like Google and NVIDIA are also constantly coming up with new and improved AI chips that use less power. Given that software compatibility and infrastructure investments are already in place for current platforms, the perceived advantages of neuromorphic systems could be overshadowed by the quick advancements in conventional AI hardware.

Covid-19 Impact:

The COVID-19 pandemic affected the neuromorphic computing market in a variety of ways. In the near term, delays in semiconductor production, diminished R&D budgets, and disruptions in global supply chains hindered hardware development and slowed the rate of commercial deployment. However, the pandemic also sped up digital transformation and brought attention to the need for intelligent, energy-efficient systems that can process data locally, particularly in edge AI applications, healthcare, and remote monitoring. Because of this change, there is now more interest in neuromorphic computing as a low-power, real-time processing solution. Because of this, even though early advancements were delayed, the post-pandemic environment has encouraged more research and investment in neuromorphic technologies.

The image processing segment is expected to be the largest during the forecast period

The image processing segment is expected to account for the largest market share during the forecast period. This dominance is explained by the neuromorphic architecture's capacity to closely resemble the human visual cortex by processing high-speed visual data efficiently through event-driven, parallel computation. Applications that require real-time image recognition and classification, like autonomous cars, surveillance systems, and medical imaging, greatly benefit from neuromorphic systems' low power consumption and lightning-fast reaction times. Since image processing offers greater efficiency, speed, and scalability than conventional techniques, it continues to dominate the market despite the quick growth of edge computing and smart vision systems.

The automotive segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the automotive segment is predicted to witness the highest growth rate. The growing use of autonomous vehicles and advanced driver-assistance systems (ADAS), which demand real-time processing of large amounts of sensory data with extremely low latency and power consumption, is the main driver of this quick expansion. With their event-driven, brain-like architectures, neuromorphic chips are perfect for facilitating safe, energy-efficient decision-making in situations involving time-sensitive driving. Moreover, neuromorphic processors are anticipated to be crucial in forming the next generation of smart cars as the automotive industry gradually transitions to Level 5 autonomy and vehicle-to-everything (V2X) communication.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, driven by large investments in cutting-edge computing technologies and the robust presence of major players like BrainChip, IBM, and Intel. Strong funding for defense research, artificial intelligence, and academic projects centered on brain-inspired computing is advantageous to the area. Furthermore, the need for neuromorphic hardware is supported by North America's early adoption of AI in industries like consumer electronics, healthcare, automotive, and aerospace. Through government-supported initiatives and private sector innovation, the U.S. in particular leads in neuromorphic R&D, making the region a dominant force in both technological development and market revenue share.

Region with highest CAGR:

Over the forecast period, the Asia-Pacific region is anticipated to exhibit the highest CAGR. Rapid technological advancements, rising investments in robotics and artificial intelligence, and robust government support for semiconductor innovation in nations like China, Japan, South Korea, and India are the main drivers of this growth. Energy-efficient, real-time computing solutions are in high demand due to the region's growing electronics manufacturing base and the growing use of smart technologies in consumer electronics, industrial automation, and automotive. Additionally, Asia-Pacific's rise as a global center for the development of next-generation AI hardware is being accelerated by the expansion of both academic and commercial research in neuromorphic systems.

Key players in the market

Some of the key players in Neuromorphic Computing Market include Intel Corporation, HRL Laboratories, LLC, GrAI Matter Labs, IBM Corporation, Qualcomm Technologies, Inc., Micron Technology Inc, BrainChip Holdings Ltd., Hewlett Packard Enterprise (HPE), Samsung Electronics Co. Ltd, Knowm Inc., General Vision Inc., SK Hynix Inc., Vicarious FPC Inc., Nepes Corporation, Gyrfalcon Technology Inc. and SynSense AG.

Key Developments:

In May 2025, Qualcomm Technologies, Inc. and Xiaomi Corporation are celebrating 15 years of collaboration and have executed a multi-year agreement. The relationship between Qualcomm Technologies and Xiaomi has been pivotal in driving innovation across the technology industry and the companies are committed to delivering industry-leading products and solutions across various device categories globally.

In April 2025, HRL Laboratories, LLC has officially opened its new advanced research and manufacturing facility in Camarillo, California, marking a significant milestone in the company's commitment to innovation in infrared (IR) hardware. The 60,000-square-foot facility, housing state-of-the-art labs, cleanrooms, high-bay and office space, dramatically enhances HRL's fabrication and in-house testing capabilities.

In April 2025, Intel Corporation announced that it has entered into a definitive agreement to sell 51% of its Altera business to Silver Lake, a global leader in technology investing. The transaction, which values Altera at $8.75 billion, establishes Altera's operational independence and makes it the largest pure-play FPGA semiconductor solutions company. Altera offers a proven and highly scalable architecture and tool chain and is focused on driving growth and FPGA innovation to meet the demands and opportunities of an AI-driven market.

Components Covered:

  • Hardware
  • Software

Deployments Covered:

  • Edge Computing
  • Cloud Computing

Applications Covered:

  • Signal Processing
  • Image Processing
  • Data Processing
  • Object Detection
  • Other Applications

End Users Covered:

  • Consumer Electronics
  • Automotive
  • Aerospace & Defense
  • Healthcare
  • IT & Telecom
  • Industrial
  • 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 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 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 Computing Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
  • 5.3 Software

6 Global Neuromorphic Computing Market, By Deployment

  • 6.1 Introduction
  • 6.2 Edge Computing
  • 6.3 Cloud Computing

7 Global Neuromorphic Computing Market, By Application

  • 7.1 Introduction
  • 7.2 Signal Processing
  • 7.3 Image Processing
  • 7.4 Data Processing
  • 7.5 Object Detection
  • 7.6 Other Applications

8 Global Neuromorphic Computing Market, By End User

  • 8.1 Introduction
  • 8.2 Consumer Electronics
  • 8.3 Automotive
  • 8.4 Aerospace & Defense
  • 8.5 Healthcare
  • 8.6 IT & Telecom
  • 8.7 Industrial
  • 8.8 Other End Users

9 Global Neuromorphic Computing Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 Intel Corporation
  • 11.2 HRL Laboratories, LLC
  • 11.3 GrAI Matter Labs
  • 11.4 IBM Corporation
  • 11.5 Qualcomm Technologies, Inc.
  • 11.6 Micron Technology Inc
  • 11.7 BrainChip Holdings Ltd.
  • 11.8 Hewlett Packard Enterprise (HPE)
  • 11.9 Samsung Electronics Co. Ltd
  • 11.10 Knowm Inc.
  • 11.11 General Vision Inc.
  • 11.12 SK Hynix Inc.
  • 11.13 Vicarious FPC Inc.
  • 11.14 Nepes Corporation
  • 11.15 Gyrfalcon Technology Inc.
  • 11.16 SynSense AG

List of Tables

  • Table 1 Global Neuromorphic Computing Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Neuromorphic Computing Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Neuromorphic Computing Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global Neuromorphic Computing Market Outlook, By Software (2024-2032) ($MN)
  • Table 5 Global Neuromorphic Computing Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 6 Global Neuromorphic Computing Market Outlook, By Edge Computing (2024-2032) ($MN)
  • Table 7 Global Neuromorphic Computing Market Outlook, By Cloud Computing (2024-2032) ($MN)
  • Table 8 Global Neuromorphic Computing Market Outlook, By Application (2024-2032) ($MN)
  • Table 9 Global Neuromorphic Computing Market Outlook, By Signal Processing (2024-2032) ($MN)
  • Table 10 Global Neuromorphic Computing Market Outlook, By Image Processing (2024-2032) ($MN)
  • Table 11 Global Neuromorphic Computing Market Outlook, By Data Processing (2024-2032) ($MN)
  • Table 12 Global Neuromorphic Computing Market Outlook, By Object Detection (2024-2032) ($MN)
  • Table 13 Global Neuromorphic Computing Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 14 Global Neuromorphic Computing Market Outlook, By End User (2024-2032) ($MN)
  • Table 15 Global Neuromorphic Computing Market Outlook, By Consumer Electronics (2024-2032) ($MN)
  • Table 16 Global Neuromorphic Computing Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 17 Global Neuromorphic Computing Market Outlook, By Aerospace & Defense (2024-2032) ($MN)
  • Table 18 Global Neuromorphic Computing Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 19 Global Neuromorphic Computing Market Outlook, By IT & Telecom (2024-2032) ($MN)
  • Table 20 Global Neuromorphic Computing Market Outlook, By Industrial (2024-2032) ($MN)
  • Table 21 Global Neuromorphic Computing Market Outlook, By Other End Users (2024-2032) ($MN)
  • Table 22 North America Neuromorphic Computing Market Outlook, By Country (2024-2032) ($MN)
  • Table 23 North America Neuromorphic Computing Market Outlook, By Component (2024-2032) ($MN)
  • Table 24 North America Neuromorphic Computing Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 25 North America Neuromorphic Computing Market Outlook, By Software (2024-2032) ($MN)
  • Table 26 North America Neuromorphic Computing Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 27 North America Neuromorphic Computing Market Outlook, By Edge Computing (2024-2032) ($MN)
  • Table 28 North America Neuromorphic Computing Market Outlook, By Cloud Computing (2024-2032) ($MN)
  • Table 29 North America Neuromorphic Computing Market Outlook, By Application (2024-2032) ($MN)
  • Table 30 North America Neuromorphic Computing Market Outlook, By Signal Processing (2024-2032) ($MN)
  • Table 31 North America Neuromorphic Computing Market Outlook, By Image Processing (2024-2032) ($MN)
  • Table 32 North America Neuromorphic Computing Market Outlook, By Data Processing (2024-2032) ($MN)
  • Table 33 North America Neuromorphic Computing Market Outlook, By Object Detection (2024-2032) ($MN)
  • Table 34 North America Neuromorphic Computing Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 35 North America Neuromorphic Computing Market Outlook, By End User (2024-2032) ($MN)
  • Table 36 North America Neuromorphic Computing Market Outlook, By Consumer Electronics (2024-2032) ($MN)
  • Table 37 North America Neuromorphic Computing Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 38 North America Neuromorphic Computing Market Outlook, By Aerospace & Defense (2024-2032) ($MN)
  • Table 39 North America Neuromorphic Computing Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 40 North America Neuromorphic Computing Market Outlook, By IT & Telecom (2024-2032) ($MN)
  • Table 41 North America Neuromorphic Computing Market Outlook, By Industrial (2024-2032) ($MN)
  • Table 42 North America Neuromorphic Computing Market Outlook, By Other End Users (2024-2032) ($MN)
  • Table 43 Europe Neuromorphic Computing Market Outlook, By Country (2024-2032) ($MN)
  • Table 44 Europe Neuromorphic Computing Market Outlook, By Component (2024-2032) ($MN)
  • Table 45 Europe Neuromorphic Computing Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 46 Europe Neuromorphic Computing Market Outlook, By Software (2024-2032) ($MN)
  • Table 47 Europe Neuromorphic Computing Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 48 Europe Neuromorphic Computing Market Outlook, By Edge Computing (2024-2032) ($MN)
  • Table 49 Europe Neuromorphic Computing Market Outlook, By Cloud Computing (2024-2032) ($MN)
  • Table 50 Europe Neuromorphic Computing Market Outlook, By Application (2024-2032) ($MN)
  • Table 51 Europe Neuromorphic Computing Market Outlook, By Signal Processing (2024-2032) ($MN)
  • Table 52 Europe Neuromorphic Computing Market Outlook, By Image Processing (2024-2032) ($MN)
  • Table 53 Europe Neuromorphic Computing Market Outlook, By Data Processing (2024-2032) ($MN)
  • Table 54 Europe Neuromorphic Computing Market Outlook, By Object Detection (2024-2032) ($MN)
  • Table 55 Europe Neuromorphic Computing Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 56 Europe Neuromorphic Computing Market Outlook, By End User (2024-2032) ($MN)
  • Table 57 Europe Neuromorphic Computing Market Outlook, By Consumer Electronics (2024-2032) ($MN)
  • Table 58 Europe Neuromorphic Computing Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 59 Europe Neuromorphic Computing Market Outlook, By Aerospace & Defense (2024-2032) ($MN)
  • Table 60 Europe Neuromorphic Computing Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 61 Europe Neuromorphic Computing Market Outlook, By IT & Telecom (2024-2032) ($MN)
  • Table 62 Europe Neuromorphic Computing Market Outlook, By Industrial (2024-2032) ($MN)
  • Table 63 Europe Neuromorphic Computing Market Outlook, By Other End Users (2024-2032) ($MN)
  • Table 64 Asia Pacific Neuromorphic Computing Market Outlook, By Country (2024-2032) ($MN)
  • Table 65 Asia Pacific Neuromorphic Computing Market Outlook, By Component (2024-2032) ($MN)
  • Table 66 Asia Pacific Neuromorphic Computing Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 67 Asia Pacific Neuromorphic Computing Market Outlook, By Software (2024-2032) ($MN)
  • Table 68 Asia Pacific Neuromorphic Computing Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 69 Asia Pacific Neuromorphic Computing Market Outlook, By Edge Computing (2024-2032) ($MN)
  • Table 70 Asia Pacific Neuromorphic Computing Market Outlook, By Cloud Computing (2024-2032) ($MN)
  • Table 71 Asia Pacific Neuromorphic Computing Market Outlook, By Application (2024-2032) ($MN)
  • Table 72 Asia Pacific Neuromorphic Computing Market Outlook, By Signal Processing (2024-2032) ($MN)
  • Table 73 Asia Pacific Neuromorphic Computing Market Outlook, By Image Processing (2024-2032) ($MN)
  • Table 74 Asia Pacific Neuromorphic Computing Market Outlook, By Data Processing (2024-2032) ($MN)
  • Table 75 Asia Pacific Neuromorphic Computing Market Outlook, By Object Detection (2024-2032) ($MN)
  • Table 76 Asia Pacific Neuromorphic Computing Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 77 Asia Pacific Neuromorphic Computing Market Outlook, By End User (2024-2032) ($MN)
  • Table 78 Asia Pacific Neuromorphic Computing Market Outlook, By Consumer Electronics (2024-2032) ($MN)
  • Table 79 Asia Pacific Neuromorphic Computing Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 80 Asia Pacific Neuromorphic Computing Market Outlook, By Aerospace & Defense (2024-2032) ($MN)
  • Table 81 Asia Pacific Neuromorphic Computing Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 82 Asia Pacific Neuromorphic Computing Market Outlook, By IT & Telecom (2024-2032) ($MN)
  • Table 83 Asia Pacific Neuromorphic Computing Market Outlook, By Industrial (2024-2032) ($MN)
  • Table 84 Asia Pacific Neuromorphic Computing Market Outlook, By Other End Users (2024-2032) ($MN)
  • Table 85 South America Neuromorphic Computing Market Outlook, By Country (2024-2032) ($MN)
  • Table 86 South America Neuromorphic Computing Market Outlook, By Component (2024-2032) ($MN)
  • Table 87 South America Neuromorphic Computing Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 88 South America Neuromorphic Computing Market Outlook, By Software (2024-2032) ($MN)
  • Table 89 South America Neuromorphic Computing Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 90 South America Neuromorphic Computing Market Outlook, By Edge Computing (2024-2032) ($MN)
  • Table 91 South America Neuromorphic Computing Market Outlook, By Cloud Computing (2024-2032) ($MN)
  • Table 92 South America Neuromorphic Computing Market Outlook, By Application (2024-2032) ($MN)
  • Table 93 South America Neuromorphic Computing Market Outlook, By Signal Processing (2024-2032) ($MN)
  • Table 94 South America Neuromorphic Computing Market Outlook, By Image Processing (2024-2032) ($MN)
  • Table 95 South America Neuromorphic Computing Market Outlook, By Data Processing (2024-2032) ($MN)
  • Table 96 South America Neuromorphic Computing Market Outlook, By Object Detection (2024-2032) ($MN)
  • Table 97 South America Neuromorphic Computing Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 98 South America Neuromorphic Computing Market Outlook, By End User (2024-2032) ($MN)
  • Table 99 South America Neuromorphic Computing Market Outlook, By Consumer Electronics (2024-2032) ($MN)
  • Table 100 South America Neuromorphic Computing Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 101 South America Neuromorphic Computing Market Outlook, By Aerospace & Defense (2024-2032) ($MN)
  • Table 102 South America Neuromorphic Computing Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 103 South America Neuromorphic Computing Market Outlook, By IT & Telecom (2024-2032) ($MN)
  • Table 104 South America Neuromorphic Computing Market Outlook, By Industrial (2024-2032) ($MN)
  • Table 105 South America Neuromorphic Computing Market Outlook, By Other End Users (2024-2032) ($MN)
  • Table 106 Middle East & Africa Neuromorphic Computing Market Outlook, By Country (2024-2032) ($MN)
  • Table 107 Middle East & Africa Neuromorphic Computing Market Outlook, By Component (2024-2032) ($MN)
  • Table 108 Middle East & Africa Neuromorphic Computing Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 109 Middle East & Africa Neuromorphic Computing Market Outlook, By Software (2024-2032) ($MN)
  • Table 110 Middle East & Africa Neuromorphic Computing Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 111 Middle East & Africa Neuromorphic Computing Market Outlook, By Edge Computing (2024-2032) ($MN)
  • Table 112 Middle East & Africa Neuromorphic Computing Market Outlook, By Cloud Computing (2024-2032) ($MN)
  • Table 113 Middle East & Africa Neuromorphic Computing Market Outlook, By Application (2024-2032) ($MN)
  • Table 114 Middle East & Africa Neuromorphic Computing Market Outlook, By Signal Processing (2024-2032) ($MN)
  • Table 115 Middle East & Africa Neuromorphic Computing Market Outlook, By Image Processing (2024-2032) ($MN)
  • Table 116 Middle East & Africa Neuromorphic Computing Market Outlook, By Data Processing (2024-2032) ($MN)
  • Table 117 Middle East & Africa Neuromorphic Computing Market Outlook, By Object Detection (2024-2032) ($MN)
  • Table 118 Middle East & Africa Neuromorphic Computing Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 119 Middle East & Africa Neuromorphic Computing Market Outlook, By End User (2024-2032) ($MN)
  • Table 120 Middle East & Africa Neuromorphic Computing Market Outlook, By Consumer Electronics (2024-2032) ($MN)
  • Table 121 Middle East & Africa Neuromorphic Computing Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 122 Middle East & Africa Neuromorphic Computing Market Outlook, By Aerospace & Defense (2024-2032) ($MN)
  • Table 123 Middle East & Africa Neuromorphic Computing Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 124 Middle East & Africa Neuromorphic Computing Market Outlook, By IT & Telecom (2024-2032) ($MN)
  • Table 125 Middle East & Africa Neuromorphic Computing Market Outlook, By Industrial (2024-2032) ($MN)
  • Table 126 Middle East & Africa Neuromorphic Computing Market Outlook, By Other End Users (2024-2032) ($MN)