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1776691

2032 年神經型態計算市場預測：按組件、部署、應用、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球神經型態計算市場預計在 2025 年達到 82.9 億美元，到 2032 年將達到 301.2 億美元，預測期內的複合年成長率為 20.23%。

神經型態運算是一項新興技術，它透過模擬人腦的結構和行為，比傳統計算系統更有效率地處理資訊。受神經網路和類腦架構的啟發，神經型態系統使用憶阻器和脈衝神經網路等專用硬體，實現高速運算，同時顯著降低功耗。這種方法在需要模式識別、感測資料處理和自適應學習的任務中表現出色，使其成為機器人、邊緣運算和人工智慧應用的理想選擇。此外，神經型態運算正成為邁向下一代智慧系統的革命性一步，以滿足市場對節能人工智慧解決方案日益成長的需求。

根據 IBM 在《神經形態運算與工程》雜誌上發布的 2022 年主導藍圖，神經型態系統消耗的功率將比傳統的馮諾依曼架構少得多，只需 20-30 兆瓦而不是數百兆瓦就有可能實現百萬兆級次級運算。

對低功耗人工智慧硬體的需求不斷成長

大型資料中心通常需要運行傳統的人工智慧模型，尤其是需要大量能源和處理能力的深度學習架構。神經型態運算提供了模式轉移，其靈感源於大腦能夠以更少的能源處理資訊的能力。 IBM 的 True North 和英特爾的 Loihi 等晶片經過精心設計，能夠以更低的功耗執行複雜的運算。此外，它們非常適合穿戴式裝置、無人機和行動機器人等電池受限的應用，在這些應用中，效率至關重要，同時又不損害智慧。

缺乏標準化的程式設計模型和架構

與遵循著名馮諾依曼或哈佛架構的傳統運算系統相比，神經型態運算缺乏程式設計模型、軟體介面和硬體設計的業界標準。每個晶片通常都需要客製化學習演算法、編譯器和工具鏈。這種碎片化帶來了相容性問題，使開發人員和系統整合商難以創建可擴展且可攜式的應用程式。此外，在建立單一生態系之前，神經形態運算的應用可能仍僅限於研究環境和專業應用。

神經技術和腦機介面（BMI）的發展

神經型態計算的生物學根源使其非常適合神經科學應用，尤其是神經義肢和腦機介面。它能夠即時處理腦電圖 (EEG) 和肌電圖 (EMG) 等生物訊號，使人機互動更加自然。它在殘障人士控制輪椅、機械肢體和通訊設備等輔助科技領域的潛力尤其廣闊。隨著神經技術和生物醫學工程的進步，神經型態平台為以低功耗和低延遲解密複雜的腦波訊號提供了完美的運算基礎。

與知名AI硬體技術競爭

神經型態面臨來自 GPU、TPU、FPGA 甚至客製化 ASIC 等知名 AI 加速器的激烈競爭。這些平台在深度學習和推理等 AI 任務中擁有成熟的能力，並擁有成熟的生態系統和強大的開發者支援。谷歌和 NVIDIA 等公司也不斷推出功耗更低的全新升級版 AI 晶片。鑑於目前平台上已有的軟體相容性和基礎設施投資，神經型態系統的優勢可能會被傳統 AI 硬體的快速發展所掩蓋。

COVID-19的影響：

新冠疫情對神經型態計算市場產生了許多影響。短期內，半導體生產延遲、研發預算削減以及全球供應鏈中斷阻礙了硬體開發，並減緩了商業部署。然而，疫情加速了數位轉型，並凸顯了對能夠在本地處理數據的智慧、節能系統的需求，尤其是在邊緣人工智慧應用、醫療保健和遠端監控領域。這種轉變促使人們對神經型態運算作為一種低功耗、即時處理解決方案的興趣日益濃厚。儘管初期進展緩慢，但後疫情時代的環境正在刺激神經型態技術的研究和投資。

預計影像處理領域將成為預測期內最大的領域

預計影像處理領域將在預測期內佔據最大的市場佔有率。這種主導地位源自於神經型態架構透過事件驅動的平行運算高效處理高速視覺數據，從而模擬人類視覺皮層。自動駕駛汽車、監控系統和醫學影像處理等需要即時影像識別和分類的應用，大大受益於神經型態系統的低功耗和閃電般的反應時間。由於其比傳統技術更高的效率、速度和可擴展性，儘管邊緣運算和智慧視覺系統快速成長，影像處理仍將繼續佔據市場主導地位。

預計預測期內汽車產業將以最高的複合年成長率成長。

預計汽車產業將在預測期內實現最高成長率。自動駕駛汽車和高級駕駛輔助系統 (ADAS) 的日益普及是這項快速擴張的主要驅動力，這源於對極低延遲和功耗的海量感測資料進行即時處理的需求。神經型態晶片採用事件驅動的類腦架構，非常適合在時間敏感的駕駛情況下實現安全節能的決策。此外，隨著汽車產業逐步邁向 5 級自動駕駛和車聯網 (V2X)通訊，神經型態處理器預計將在塑造下一代智慧汽車方面發揮關鍵作用。

佔比最大的地區：

由於對尖端運算技術的大量投資以及 BrainChip、IBM 和 Intel 等大公司的強大影響力，預計北美將在預測期內佔據最大的市場佔有率。國防研究、人工智慧以及專注於基於腦的計算的學術計劃的強大資金支持也有利於該地區。此外，北美在消費性電子、醫療保健、汽車和航空航太等產業早期採用人工智慧也推動了對神經型態硬體的需求。尤其是美國，透過政府支持的舉措和私營部門的創新引領神經型態研發，使該地區在技術開發和市場收益佔有率方面佔據主導地位。

複合年成長率最高的地區：

預計亞太地區將在預測期內實現最高的複合年成長率。快速的技術進步、機器人和人工智慧領域投資的不斷增加，以及中國、日本、韓國和印度等國家政府對半導體創新的大力支持，是這一成長的主要驅動力。該地區不斷擴張的電子製造基地以及智慧技術在家用電器、工業自動化和汽車領域的日益普及，推動了對節能即時運算解決方案的高需求。此外，不斷擴展的神經型態系統學術和商業性研究，正在推動亞太地區成為下一代人工智慧硬體開發的全球中心。

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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
  • 研究範圍
  • 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
  • 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
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球神經型態計算市場（按組件）

  • 硬體
  • 軟體

6. 全球神經型態運算市場（按部署）

  • 邊緣運算
  • 雲端運算

7. 全球神經型態計算市場（按應用）

  • 訊號處理
  • 影像處理
  • 資料處理
  • 物體偵測
  • 其他應用

8. 全球神經型態計算市場（依最終用戶）

  • 家電
  • 車
  • 航太和國防
  • 衛生保健
  • 資訊科技/通訊
  • 產業
  • 其他最終用戶

9. 全球神經型態計算市場（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
    • 南美洲其他地區
  • 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10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11章 公司概況

  • 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)