神经形态计算市场规模、份额和成长分析（按组件、按部署方法、按应用、按最终用途、按地区）：产业预测 (2024-2031)

预计2022年全球神经拟态计算市场规模为79.2亿美元，预计将从2023年的150.2亿美元增长到2031年的25195.1亿美元，在预测期内（2024-2031年）预计将以复合年增长率增长89.7%。

由于人工智慧（AI）和机器学习（ML）技术的进步，全球神经拟态运算市场预计将显着成长。神经形态电脑的行动架构满足了对紧凑高效运算解决方案的需求，与传统的笨重系统相比，显着提高了空间利用率。随着各行业越来越多地整合人工智慧和机器学习以提高业务效率和产品质量，对高性能积体电路 (IC) 的需求不断出现。媒体和娱乐、消费电子、航太、公共事业、食品和饮料以及军事等关键产业正在积极寻求解决方案来应对特定挑战，进一步推动对神经拟态运算的需求。由于这些趋势的融合，神经形态计算市场预计将在预测期内稳步扩张，反映出该技术在未来的重要角色。

目录

介绍

• 分析目的
• 市场范围
• 定义

分析方法

• 资讯采购
• 次要/主要资料方法
• 市场规模预测
• 市场假设与约束

执行摘要

• 市场概况及展望
• 供需趋势分析
• 按细分市场的机会分析

市场动态及前景

• 市场概况
• 市场规模
• 市场动态
  • 驱动因素和机会
  • 抑制因素和挑战
• 波特分析及影响
  • 竞争公司之间的敌对关係
  • 替代品的威胁
  • 买方议价能力
  • 新进入者的威胁
  • 供应商的议价能力

主要市场考虑因素

• 关键成功因素
• 竞争程度
• 主要投资机会
• 市场生态系统
• 市场吸引力指数（2023）
• PESTEL分析
• 宏观经济指标
• 价值链分析
• 价格分析
• 技术进步
• 监管环境
• 案例研究
• 客户和购买标准分析

全球神经形态计算市场规模/复合年增长率：按组成部分（2024-2031）

• 市场概况
• 硬体
• 软体
• 服务

全球神经拟态计算市场规模与复合年增长率：按部署方式划分（2024-2031）

• 市场概况
• 边缘
• 云

全球神经形态计算市场规模与复合年增长率：按应用分类（2024-2031）

• 市场概况
• 讯号处理
• 影像处理
• 资料处理
• 物体侦测
• 其他的

全球神经形态计算市场规模/复合年增长率：依最终用途分类（2024-2031）

• 市场概况
• 家电
• 车
• 医疗保健
• 军事/国防
• 其他的

全球神经拟态计算市场规模/复合年增长率（2024-2031）

• 北美洲
  • 美国
  • 加拿大
• 欧洲
  • 英国
  • 德国
  • 西班牙
  • 法国
  • 义大利
  • 其他欧洲国家地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 其他亚太地区
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地区
• 中东/非洲
  • 海湾合作委员会国家
  • 南非
  • 其他中东/非洲

竞争格局

• 前5名企业对比
• 主要企业市场定位（2023年）
• 主要企业采取的策略
• 近期市场趋势
• 主要企业市场占有率（2023年）
• 主要企业简介
  • 公司简介
  • 产品系列分析
  • 按细分市场分類的份额分析
  • 收益与前一年同期比较（2021-2023）

主要企业简介

• Intel Corporation
• IBM Corporation
• Samsung Electronics Co., Ltd.
• SK Hynix Inc.
• Qualcomm Technologies, Inc.
• BrainChip Holdings Ltd.
• GrAI Matter Labs
• SynSense AG
• Nepes Corporation
• Vicarious FPC Inc.
• General Vision Inc.
• Prophesee SA
• Knowm Inc.
• Hewlett Packard Enterprise (HPE)
• Gyrfalcon Technology Inc.
• TECHiFAB GmbH
• Applied Materials, Inc.
• Micron Technology
• Silicon Storage Technology Inc.
• Brain Corporation

结论和建议

Global Neuromorphic Computing Market size was valued at USD 7.92 Billion in 2022 poised to grow from USD 15.02 Billion in 2023 to USD 2,519.51 Billion by 2031, growing at a CAGR of 89.7% in the forecast period (2024-2031).

The global neuromorphic computing market is poised for significant growth, driven by advancements in artificial intelligence (AI) and machine learning (ML) technologies. The mobile architecture of neuromorphic computers addresses the demand for compact, efficient computing solutions, significantly enhancing space utilization compared to traditional bulky systems. As industries increasingly integrate AI and ML to improve operational efficiency and product quality, the need for high-performance integrated circuits (ICs) emerges. Key sectors such as media and entertainment, consumer electronics, aerospace, utilities, food and beverage, and military are actively seeking solutions to address specific challenges, further escalating the demand for neuromorphic computing. This convergence of trends positions the neuromorphic computing market for robust expansion throughout the forecast period, reflecting its critical role in the future of technology.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Neuromorphic Computing market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Neuromorphic Computing Market Segmental Analysis

Global Neuromorphic Computing Market is segmented by Component, Deployment, Application, End Use and region. Based on Component, the market is segmented into Hardware, Software, Services. Based on Deployment, the market is segmented into Edge, Cloud. Based on Application, the market is segmented into Signal Processing, Image Processing, Data Processing, Object Detection, Others. Based on End Use, the market is segmented into Consumer Electronics, Automotive, Healthcare, Military & Defense, Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Neuromorphic Computing Market

The global neuromorphic computing market is primarily driven by the escalating demand for energy-efficient artificial intelligence solutions. As industries seek to overcome the energy constraints associated with traditional mechanical intelligence technologies, neuromorphic systems offer a compelling alternative by emulating the brain's low-power processing. These advanced systems are particularly beneficial for applications like robotics and autonomous vehicles, where conventional hardware struggles with high power consumption and the need for real-time responsiveness. By providing a sustainable computing paradigm, neuromorphic computing addresses the critical limitations of existing solutions, positioning itself as an essential driver of innovation in the realm of AI technologies.

Restraints in the Global Neuromorphic Computing Market

The Global Neuromorphic Computing market faces significant restraints, particularly in the areas of standardization and development. The lack of uniform programming frameworks and tools tailored for neuromorphic systems creates obstacles for developers accustomed to conventional architectures. This mismatch necessitates the use of unconventional programming paradigms, complicating the coding process and hindering progress. Consequently, the absence of adequate tools and standard practices impedes the speed of development and integration, which ultimately restricts the widespread adoption of neuromorphic computing across various sectors and applications. Efforts to address these challenges are essential for advancing the technology's integration into mainstream use.

Market Trends of the Global Neuromorphic Computing Market

The global neuromorphic computing market is witnessing a significant trend towards the integration of edge computing technologies, enhancing the capabilities of neuromorphic systems. This shift enables near-instantaneous data processing and real-time decision-making, critical for applications in the Internet of Things (IoT), autonomous vehicles, and robotics. By processing data directly at the edge, organizations can reduce latency, improve efficiency, and boost overall productivity, positioning neuromorphic computing as a vital component in the evolution of smart systems. This trend reflects a broader movement towards decentralized computing architectures that cater to the increasing demand for swift and intelligent responses in dynamic environments.

Table of Contents

Introduction

• Objectives of the Study
• Scope of the Report
• Definitions

Research Methodology

• Information Procurement
• Secondary & Primary Data Methods
• Market Size Estimation
• Market Assumptions & Limitations

Executive Summary

• Global Market Outlook
• Supply & Demand Trend Analysis
• Segmental Opportunity Analysis

Market Dynamics & Outlook

• Market Overview
• Market Size
• Market Dynamics
  • Driver & Opportunities
  • Restraints & Challenges
• Porters Analysis & Impact
  • Competitive rivalry
  • Threat of substitute
  • Bargaining power of buyers
  • Threat of new entrants
  • Bargaining power of suppliers

Key Market Insights

• Key Success Factors
• Degree of Competition
• Top Investment Pockets
• Market Ecosystem
• Market Attractiveness Index, 2023
• PESTEL Analysis
• Macro-Economic Indicators
• Value Chain Analysis
• Pricing Analysis
• Technological Advancement
• Regulatory Landscape
• Case Studies
• Customer & Buying Criteria Analysis

Global Neuromorphic Computing Market Size by Component & CAGR (2024-2031)

• Market Overview
• Hardware
• Software
• Services

Global Neuromorphic Computing Market Size by Deployment & CAGR (2024-2031)

• Market Overview
• Edge
• Cloud

Global Neuromorphic Computing Market Size by Application & CAGR (2024-2031)

• Market Overview
• Signal Processing
• Image Processing
• Data Processing
• Object Detection
• Others

Global Neuromorphic Computing Market Size by End Use & CAGR (2024-2031)

• Market Overview
• Consumer Electronics
• Automotive
• Healthcare
• Military & Defense
• Others

Global Neuromorphic Computing Market Size & CAGR (2024-2031)

• North America (Component, Deployment, Application, End Use)
  • US
  • Canada
• Europe (Component, Deployment, Application, End Use)
  • UK
  • Germany
  • Spain
  • France
  • Italy
  • Rest of Europe
• Asia-Pacific (Component, Deployment, Application, End Use)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia Pacific
• Latin America (Component, Deployment, Application, End Use)
  • Brazil
  • Rest of Latin America
• Middle East & Africa (Component, Deployment, Application, End Use)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2023
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2023
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2021-2023)

Key Company Profiles

• Intel Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• IBM Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Samsung Electronics Co., Ltd.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SK Hynix Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Qualcomm Technologies, Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• BrainChip Holdings Ltd.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• GrAI Matter Labs
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SynSense AG
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Nepes Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Vicarious FPC Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• General Vision Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Prophesee S.A.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Knowm Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Hewlett Packard Enterprise (HPE)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Gyrfalcon Technology Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• TECHiFAB GmbH
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Applied Materials, Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Micron Technology
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Silicon Storage Technology Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Brain Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendation