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市场调查报告书
商品编码
1570859

神经形态晶片市场、机会、成长动力、产业趋势分析与预测,2024-2032

Neuromorphic Chip Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

出版日期: | 出版商: Global Market Insights Inc. | 英文 210 Pages | 商品交期: 2-3个工作天内

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简介目录

2023 年,全球神经形态晶片市场资料为 1.382 亿美元,2024 年至 2032 年间复合年增长率将达到 55%。大地推动了神经形态晶片产业的发展。这些晶片擅长执行复杂的演算法,使其成为人工智慧驱动应用的理想选择。此外,物联网设备的成长也推动了对神经形态晶片的需求,因为它们具有节能的即时处理能力。随着物联网设备的激增,对以最低功耗处理大量资料的晶片的需求变得至关重要,从而推动市场扩张和创新。

神经形态晶片市场根据技术、最终用途行业和地区而分散。

由于汽车产业越来越依赖先进的驾驶辅助系统 (ADAS) 和自动驾驶技术,到 2032 年,汽车产业的复合年增长率将达到 55%。神经形态晶片为即时资料分析提供卓越的处理能力,这对于防撞、车道维持和自适应巡航控制等功能至关重要。它们模仿神经过程的能力提高了复杂驾驶环境中的决策速度和准确性。随着汽车越来越多地整合复杂的人工智慧驱动系统,汽车产业对高性能、节能神经形态晶片的需求将主导市场成长。

由于其在可扩展性、功效和成本效益方面的既定优势,到 2032 年,CMOS 技术领域的产值将达到 6 亿美元。 CMOS 晶片以其低功耗和高密度而闻名,非常适合需要效率和复杂处理能力的神经形态应用。随着对先进、节能的神经形态系统的需求不断增长,CMOS 技术支援高密度整合和可靠性能的能力使其成为首选,从而推动了其巨大的市场份额。

由于其强大的技术基础设施、大量的研发投资以及在人工智慧和机器学习创新方面的领先地位,北美神经形态晶片产业到 2023 年将占据 35% 的份额。该地区广泛的技术生态系统透过促进进步并将其整合到自动驾驶汽车和智慧型装置等各种应用中来支援神经形态晶片的发展。北美对开发尖端技术的战略重点及其强劲的市场需求使其成为神经形态晶片市场扩张的关键贡献者。

目录

第 1 章:方法与范围

第 2 章:执行摘要

第 3 章:产业洞察

  • 产业生态系统分析
  • 供应商矩阵
  • 利润率分析
  • 技术与创新格局
  • 专利分析
  • 重要新闻和倡议
  • 监管环境
  • 衝击力
    • 成长动力
      • 人工智慧的进步
      • 更加关注边缘运算
      • 自治系统的发展
      • 对低功耗计算的需求不断增长
      • 神经形态计算研究进展
    • 产业陷阱与挑战
      • 开发和生产成本高
      • 市场渗透率有限
  • 成长潜力分析
  • 波特的分析
  • PESTEL分析

第 4 章:竞争格局

  • 介绍
  • 公司市占率分析
  • 竞争定位矩阵
  • 战略展望矩阵

第 5 章:市场估计与预测:按技术划分,2021 - 2032 年

  • 主要趋势
  • CMOS技术
  • 忆阻器技术
  • 其他的

第 6 章:市场估计与预测:按最终用途产业,2021 - 2032 年

  • 主要趋势
  • 消费性电子产品
  • 卫生保健
  • 汽车
  • 工业的
  • 航太和国防
  • 资讯科技和电信
  • 其他的

第 7 章:市场估计与预测:按地区划分,2021 - 2032 年

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳新银行
    • 亚太地区其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地区
  • MEA
    • 阿联酋
    • 南非
    • 沙乌地阿拉伯
    • MEA 的其余部分

第 8 章:公司简介

  • Aspinity
  • BrainChip, Inc.
  • General Vision, Inc.
  • GrAI Matter Labs
  • Gyrfalcon Technology Inc.
  • HRL Laboratories, LLC
  • IBM Corporation
  • iniVation AG
  • Innatera Nanosystems BV
  • Intel Corporation
  • NEPES
  • Numenta
  • Prophesee.ai
  • Samsung Electronics Co. Ltd
  • SK HYNIX INC.
  • SynSense
  • Vicarious
简介目录
Product Code: 10664

The Global Neuromorphic Chip Market stood at USD 138.2 million in 2023 and will exhibit a 55% CAGR between 2024 and 2032. Advancements in AI and machine learning are considerably boosting the neuromorphic chip industry by enhancing data processing capabilities and mimicking brain-like functions for efficient computation. These chips excel at executing complex algorithms, making them ideal for AI-driven applications. Also, the growth in IoT devices is fueling demand for neuromorphic chips due to their energy-efficient real-time processing abilities. As IoT devices proliferate, the need for chips that handle vast amounts of data with minimal power consumption becomes crucial, driving market expansion and innovation.

The neuromorphic chip market is fragmented based on technology, end-use industry, and region.

The automotive segment will register a 55% CAGR through 2032, owing to its growing reliance on advanced driver-assistance systems (ADAS) and autonomous driving technologies. Neuromorphic chips offer superior processing capabilities for real-time data analysis, crucial for features like collision avoidance, lane-keeping, and adaptive cruise control. Their ability to mimic neural processes enhances decision-making speed and accuracy in complex driving environments. As vehicles increasingly integrate sophisticated AI-driven systems, the automotive industry's demand for high-performance, energy-efficient neuromorphic chips will dominate market growth.

The CMOS technology segment will account for USD 600 million by 2032, attributed to its established advantages in scalability, power efficiency, and cost-effectiveness. CMOS chips, known for their low power consumption and high density, are ideal for neuromorphic applications that require both efficiency and complex processing capabilities. As the demand for advanced, energy-efficient neuromorphic systems grows, CMOS technology's ability to support high-density integration and reliable performance positions it as the preferred choice, driving its substantial market share.

North America neuromorphic chip industry held a 35% share in 2023, driven by its strong technological infrastructure, significant investment in research and development, and leadership in AI and machine learning innovations. The region's extensive tech ecosystem supports the growth of neuromorphic chips by fostering advancements and integrating them into various applications, including autonomous vehicles and smart devices. North America's strategic focus on developing cutting-edge technologies and its robust market demand make it a key contributor to the neuromorphic chip market expansion.

Table of Contents

Chapter 1 Methodology and Scope

  • 1.1 Market scope and definition
  • 1.2 Base estimates and calculations
  • 1.3 Forecast calculation
  • 1.4 Data sources
    • 1.4.1 Primary
    • 1.4.2 Secondary
      • 1.4.2.1 Paid sources
      • 1.4.2.2 Public sources

Chapter 2 Executive Summary

  • 2.1 Industry 360º synopsis, 2021 - 2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Vendor matrix
  • 3.3 Profit margin analysis
  • 3.4 Technology and innovation landscape
  • 3.5 Patent analysis
  • 3.6 Key news and initiatives
  • 3.7 Regulatory landscape
  • 3.8 Impact forces
    • 3.8.1 Growth drivers
      • 3.8.1.1 Advancements in artificial intelligence
      • 3.8.1.2 Increased focus on edge computing
      • 3.8.1.3 Growth of autonomous systems
      • 3.8.1.4 Rising demand for low-power computing
      • 3.8.1.5 Advancements in neuromorphic computing research
    • 3.8.2 Industry pitfalls and challenges
      • 3.8.2.1 High development and production costs
      • 3.8.2.2 Limited market penetration
  • 3.9 Growth potential analysis
  • 3.10 Porter's analysis
    • 3.10.1 Supplier power
    • 3.10.2 Buyer power
    • 3.10.3 Threat of new entrants
    • 3.10.4 Threat of substitutes
    • 3.10.5 Industry rivalry
  • 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Technology, 2021 - 2032 (USD Million)

  • 5.1 Key Trends
  • 5.2 CMOS technology
  • 5.3 Memristor technology
  • 5.4 Others

Chapter 6 Market Estimates and Forecast, By End-use Industry, 2021 - 2032 (USD Million)

  • 6.1 Key Trends
  • 6.2 Consumer electronics
  • 6.3 Healthcare
  • 6.4 Automotive
  • 6.5 Industrial
  • 6.6 Aerospace and Defense
  • 6.7 IT and Telecommunications
  • 6.8 Others

Chapter 7 Market Estimates and Forecast, By Region, 2021 - 2032 (USD Million)

  • 7.1 Key trends
  • 7.2 North America
    • 7.2.1 U.S.
    • 7.2.2 Canada
  • 7.3 Europe
    • 7.3.1 UK
    • 7.3.2 Germany
    • 7.3.3 France
    • 7.3.4 Italy
    • 7.3.5 Spain
    • 7.3.6 Rest of Europe
  • 7.4 Asia Pacific
    • 7.4.1 China
    • 7.4.2 India
    • 7.4.3 Japan
    • 7.4.4 South Korea
    • 7.4.5 ANZ
    • 7.4.6 Rest of Asia Pacific
  • 7.5 Latin America
    • 7.5.1 Brazil
    • 7.5.2 Mexico
    • 7.5.3 Rest of Latin America
  • 7.6 MEA
    • 7.6.1 UAE
    • 7.6.2 South Africa
    • 7.6.3 Saudi Arabia
    • 7.6.4 Rest of MEA

Chapter 8 Company Profiles

  • 8.1 Aspinity
  • 8.2 BrainChip, Inc.
  • 8.3 General Vision, Inc.
  • 8.4 GrAI Matter Labs
  • 8.5 Gyrfalcon Technology Inc.
  • 8.6 HRL Laboratories, LLC
  • 8.7 IBM Corporation
  • 8.8 iniVation AG
  • 8.9 Innatera Nanosystems BV
  • 8.10 Intel Corporation
  • 8.11 NEPES
  • 8.12 Numenta
  • 8.13 Prophesee.ai
  • 8.14 Samsung Electronics Co. Ltd
  • 8.15 SK HYNIX INC.
  • 8.16 SynSense
  • 8.17 Vicarious