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市場調查報告書
商品編碼
1570859

神經形態晶片市場、機會、成長動力、產業趨勢分析與預測,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個工作天內

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簡介目錄

2023 年,全球神經形態晶片市場資料為 1.382 億美元,2024 年至 2032 年間複合年成長率將達到 55%。大地推動了神經形態晶片產業的發展。這些晶片擅長執行複雜的演算法,使其成為人工智慧驅動應用的理想選擇。此外,物聯網設備的成長也推動了對神經形態晶片的需求,因為它們具有節能的即時處理能力。隨著物聯網設備的激增,對以最低功耗處理大量資料的晶片的需求變得至關重要,從而推動市場擴張和創新。

神經形態晶片市場根據技術、最終用途行業和地區而分散。

由於汽車產業越來越依賴先進的駕駛輔助系統 (ADAS) 和自動駕駛技術,到 2032 年,汽車產業的複合年成長率將達到 55%。神經形態晶片為即時資料分析提供卓越的處理能力,這對於防撞、車道維持和自適應巡航控制等功能至關重要。它們模仿神經過程的能力提高了複雜駕駛環境中的決策速度和準確性。隨著汽車擴大整合複雜的人工智慧驅動系統,汽車產業對高性能、節能神經形態晶片的需求將主導市場成長。

由於其在可擴展性、功效和成本效益方面的既定優勢,到 2032 年,CMOS 技術領域的產值將達到 6 億美元。 CMOS 晶片以其低功耗和高密度而聞名,非常適合需要效率和複雜處理能力的神經形態應用。隨著對先進、節能的神經形態系統的需求不斷成長,CMOS 技術支援高密度整合和可靠性能的能力使其成為首選,從而推動了其巨大的市場佔有率。

由於其強大的技術基礎設施、大量的研發投資以及在人工智慧和機器學習創新方面的領先地位,北美神經形態晶片產業到 2023 年將佔據 35% 的佔有率。該地區廣泛的技術生態系統透過促進進步並將其整合到自動駕駛汽車和智慧型裝置等各種應用中來支援神經形態晶片的發展。北美對開發尖端技術的戰略重點及其強勁的市場需求使其成為神經形態晶片市場擴張的關鍵貢獻者。

目錄

第 1 章:方法與範圍

第 2 章:執行摘要

第 3 章:產業洞察

  • 產業生態系統分析
  • 供應商矩陣
  • 利潤率分析
  • 技術與創新格局
  • 專利分析
  • 重要新聞和舉措
  • 監管環境
  • 衝擊力
    • 成長動力
      • 人工智慧的進步
      • 更加關注邊緣運算
      • 自治系統的發展
      • 對低功耗計算的需求不斷成長
      • 神經形態計算研究進展
    • 產業陷阱與挑戰
      • 開發和生產成本高
      • 市場滲透率有限
  • 成長潛力分析
  • 波特的分析
  • PESTEL分析

第 4 章:競爭格局

  • 介紹
  • 公司市佔率分析
  • 競爭定位矩陣
  • 戰略展望矩陣

第 5 章:市場估計與預測:按技術分類,2021 - 2032 年

  • 主要趨勢
  • CMOS技術
  • 憶阻器技術
  • 其他

第 6 章:市場估計與預測:按最終用途產業,2021 - 2032 年

  • 主要趨勢
  • 消費性電子產品
  • 衛生保健
  • 汽車
  • 工業的
  • 航太和國防
  • 資訊科技和電信
  • 其他

第 7 章:市場估計與預測:按地區分類,2021 - 2032 年

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 歐洲其他地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳新銀行
    • 亞太地區其他地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地區
  • MEA
    • 阿拉伯聯合大公國
    • 南非
    • 沙烏地阿拉伯
    • MEA 的其餘部分

第 8 章:公司簡介

  • 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
簡介目錄
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