神經形態計算市場規模、佔有率和成長分析（按組件、按部署方法、按應用、按最終用途、按地區）：產業預測 (2024-2031)

預計2022年全球神經擬態計算市場規模為79.2億美元，預計將從2023年的150.2億美元成長到2031年的25195.1億美元，在預測期內（2024-2031年）預計將以複合年成長率成長89.7%。

由於人工智慧（AI）和機器學習（ML）技術的進步，全球神經擬態運算市場預計將顯著成長。神經形態電腦的行動架構滿足了對緊湊高效運算解決方案的需求，與傳統的笨重系統相比，顯著提高了空間利用率。隨著各行業擴大整合人工智慧和機器學習以提高業務效率和產品質量，對高性能積體電路 (IC) 的需求不斷出現。媒體和娛樂、消費電子、航太、公共事業、食品和飲料以及軍事等關鍵產業正在積極尋求解決方案來應對特定挑戰，進一步推動對神經擬態運算的需求。由於這些趨勢的融合，神經形態計算市場預計將在預測期內穩步擴張，反映出該技術在未來的重要角色。

目錄

介紹

• 分析目的
• 市場範圍
• 定義

分析方法

• 資訊採購
• 次要/主要資料方法
• 市場規模預測
• 市場假設與約束

執行摘要

• 市場概況及展望
• 供需趨勢分析
• 按細分市場的機會分析

市場動態及前景

• 市場概況
• 市場規模
• 市場動態
  • 促進因素和機遇
  • 抑制因素和挑戰
• 波特分析及影響
  • 競爭公司之間的敵對關係
  • 替代品的威脅
  • 買方議價能力
  • 新進入者的威脅
  • 供應商的議價能力

主要市場考慮因素

• 關鍵成功因素
• 競爭程度
• 主要投資機會
• 市場生態系統
• 市場吸引力指數（2023）
• PESTEL分析
• 宏觀經濟指標
• 價值鏈分析
• 價格分析
• 技術進步
• 監管環境
• 案例研究
• 客戶和購買標準分析

全球神經形態計算市場規模/複合年成長率：按組成部分（2024-2031）

• 市場概況
• 硬體
• 軟體
• 服務

全球神經擬態計算市場規模與複合年成長率：按部署方式分類（2024-2031）

• 市場概況
• 邊緣
• 雲

全球神經形態計算市場規模與複合年成長率：按應用分類（2024-2031）

• 市場概況
• 訊號處理
• 影像處理
• 資料處理
• 物體偵測
• 其他

全球神經形態計算市場規模/複合年成長率：依最終用途分類（2024-2031）

• 市場概況
• 家電
• 車
• 醫療保健
• 軍事/國防
• 其他

全球神經擬態計算市場規模/複合年成長率（2024-2031）

• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 英國
  • 德國
  • 西班牙
  • 法國
  • 義大利
  • 其他歐洲國家地區
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 其他亞太地區
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地區
• 中東/非洲
  • 海灣合作理事會國家
  • 南非
  • 其他中東/非洲

競爭格局

• 前5名企業對比
• 主要企業市場定位（2023年）
• 主要企業採取的策略
• 近期市場趨勢
• 主要企業市場佔有率（2023年）
• 主要企業簡介
  • 公司簡介
  • 產品系列分析
  • 按細分市場分類的佔有率分析
  • 收益與前一年同期比較（2021-2023）

主要企業簡介

• 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

結論和建議

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