시장보고서
상품코드
1982519

뉴로모픽 컴퓨팅 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

Global Neuromorphic Computing Market Size, Share, Trends & Growth Analysis Report 2026-2034

발행일: | 리서치사: 구분자 Value Market Research | 페이지 정보: 영문 176 Pages | 배송안내 : 1-2일 (영업일 기준)

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

뉴로모픽 컴퓨팅 시장 규모는 2025년 48억 7,000만 달러에서 2026-2034년에 CAGR 15.52%로 확대하며, 2034년에는 178억 6,000만 달러에 달할 것으로 예상되고 있습니다.

세계 뉴로모픽 컴퓨팅 시장은 첨단 컴퓨팅 기술 중에서도 혁신적인 분야로 떠오르고 있습니다. 뉴로모픽 컴퓨팅 시스템은 인간 두뇌의 구조와 기능을 모방하도록 설계되어 기계가 정보를 보다 효율적으로 처리할 수 있도록 합니다. 이 시스템들은 신경망을 재현하는 전용 칩을 사용하여 보다 빠른 데이터 처리와 전력 소비를 줄일 수 있습니다. 인공지능(AI)의 적용이 산업 전반으로 확대되고 있는 가운데, 뉴로모픽 컴퓨팅은 보다 효율적인 컴퓨팅 아키텍처를 구현할 수 있는 잠재적인 솔루션으로 주목받고 있습니다.

이 시장의 발전을 이끄는 요인으로는 고급 인공지능, 머신러닝, 실시간 데이터 처리에 대한 수요 증가 등을 들 수 있습니다. 기존 컴퓨팅 시스템은 대량의 데이터를 효율적으로 처리하는 데 한계에 직면하고 있으며, 이에 따라 대체 아키텍처에 대한 관심이 높아지고 있습니다. 뉴로모픽 칩은 저전력 소비, 패턴 인식 능력 향상 등의 이점을 제공합니다. 연구기관, 기술 기업 및 정부는 이러한 첨단 컴퓨팅 기술 개발에 많은 투자를 하고 있습니다.

향후 연구의 진전과 실용화 확대에 따라 뉴로모픽 컴퓨팅 시장은 성장할 것으로 예측됩니다. 로봇 공학, 자율주행차, 스마트 기기 등의 산업은 인간에 더 가까운 방식으로 정보를 처리하는 능력의 혜택을 누릴 수 있습니다. 칩 설계와 신경망 모델링의 지속적인 혁신으로 컴퓨팅 성능이 크게 향상될 수 있습니다. 인공지능이 계속 진화하는 가운데, 뉴로모픽 컴퓨팅은 미래의 지능형 시스템에서 중요한 기술이 될 수 있습니다.

목차

제1장 서론

제2장 개요

제3장 시장 변수, 동향, 프레임워크

제4장 세계의 뉴로모픽 컴퓨팅 시장 : 컴포넌트별

제5장 세계의 뉴로모픽 컴퓨팅 시장 : 용도별

제6장 세계의 뉴로모픽 컴퓨팅 시장 : 배포 모드별

제7장 세계의 뉴로모픽 컴퓨팅 시장 : 최종사용자별

제8장 세계의 뉴로모픽 컴퓨팅 시장 : 지역별

제9장 경쟁 구도

제10장 기업 개요

KSA 26.04.06

The Neuromorphic Computing Market size is expected to reach USD 17.86 Billion in 2034 from USD 4.87 Billion (2025) growing at a CAGR of 15.52% during 2026-2034.

The global neuromorphic computing market has emerged as an innovative segment within advanced computing technologies. Neuromorphic computing systems are designed to mimic the structure and functioning of the human brain, enabling machines to process information more efficiently. These systems use specialized chips that replicate neural networks, allowing faster data processing and reduced energy consumption. As artificial intelligence applications expand across industries, neuromorphic computing has gained attention as a potential solution for more efficient computing architectures.

Several factors are driving the development of this market, including the growing demand for advanced artificial intelligence, machine learning, and real-time data processing. Traditional computing systems face limitations in handling large volumes of data efficiently, creating interest in alternative architectures. Neuromorphic chips offer advantages such as lower power consumption and improved pattern recognition capabilities. Research institutions, technology companies, and governments are investing heavily in the development of these advanced computing technologies.

Looking ahead, the neuromorphic computing market is expected to grow as research progresses and practical applications expand. Industries such as robotics, autonomous vehicles, and smart devices may benefit from the ability to process information in a more human-like manner. Continued innovation in chip design and neural network modeling could significantly improve computing performance. As artificial intelligence continues to evolve, neuromorphic computing may become a key technology for future intelligent systems.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Component

  • Hardware
  • Software

By Application

  • Aerospace & Defense
  • Automotive
  • Consumer Electronics
  • Healthcare
  • Industrial
  • IT & Telecommunications
  • Others

By Deployment Mode

  • On-Premises
  • Cloud

By End-User

  • BFSI
  • Healthcare
  • Retail
  • Manufacturing
  • IT & Telecommunications
  • Others

COMPANIES PROFILED

  • Intel Corporation, IBM Corporation, Qualcomm Incorporated, BrainChip Holdings Ltd, Samsung Electronics Co Ltd, General Vision Inc, GrAI Matter Labs, Innatera Nanosystems BV, SynSense AG, Prophesee SA, Applied Brain Research Inc, Numenta Inc, Vicarious FPC Inc, Knowm Inc, Gyrfalcon Technology Inc
  • We can customise the report as per your requirements.

TABLE OF CONTENTS

Chapter 1. PREFACE

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1 Information Analysis
    • 1.3.2 Market Formulation & Data Visualization
    • 1.3.3 Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

  • 2.1. Market Snapshot
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

  • 3.1. Market Lineage Outlook
  • 3.2. Penetration & Growth Prospect Mapping
  • 3.3. Value Chain Analysis
  • 3.4. Regulatory Framework
    • 3.4.1 Standards & Compliance
    • 3.4.2 Regulatory Impact Analysis
  • 3.5. Market Dynamics
    • 3.5.1 Market Drivers
    • 3.5.2 Market Restraints
    • 3.5.3 Market Opportunities
    • 3.5.4 Market Challenges
  • 3.6. Porter's Five Forces Analysis
  • 3.7. PESTLE Analysis

Chapter 4. GLOBAL NEUROMORPHIC COMPUTING MARKET: BY COMPONENT 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Component
  • 4.2. Hardware Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL NEUROMORPHIC COMPUTING MARKET: BY APPLICATION 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Application
  • 5.2. Aerospace & Defense Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Automotive Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.4. Consumer Electronics Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.5. Healthcare Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.6. Industrial Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.7. IT & Telecommunications Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.8. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL NEUROMORPHIC COMPUTING MARKET: BY DEPLOYMENT MODE 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast Deployment Mode
  • 6.2. On-Premises Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. Cloud Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL NEUROMORPHIC COMPUTING MARKET: BY END-USER 2022-2034 (USD MN)

  • 7.1. Market Analysis, Insights and Forecast End-user
  • 7.2. BFSI Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.3. Healthcare Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.4. Retail Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.5. Manufacturing Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.6. IT & Telecommunications Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.7. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL NEUROMORPHIC COMPUTING MARKET: BY REGION 2022-2034(USD MN)

  • 8.1. Regional Outlook
  • 8.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.2.1 By Component
    • 8.2.2 By Application
    • 8.2.3 By Deployment Mode
    • 8.2.4 By End-user
    • 8.2.5 United States
    • 8.2.6 Canada
    • 8.2.7 Mexico
  • 8.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.3.1 By Component
    • 8.3.2 By Application
    • 8.3.3 By Deployment Mode
    • 8.3.4 By End-user
    • 8.3.5 United Kingdom
    • 8.3.6 France
    • 8.3.7 Germany
    • 8.3.8 Italy
    • 8.3.9 Russia
    • 8.3.10 Rest Of Europe
  • 8.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.4.1 By Component
    • 8.4.2 By Application
    • 8.4.3 By Deployment Mode
    • 8.4.4 By End-user
    • 8.4.5 India
    • 8.4.6 Japan
    • 8.4.7 South Korea
    • 8.4.8 Australia
    • 8.4.9 South East Asia
    • 8.4.10 Rest Of Asia Pacific
  • 8.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.5.1 By Component
    • 8.5.2 By Application
    • 8.5.3 By Deployment Mode
    • 8.5.4 By End-user
    • 8.5.5 Brazil
    • 8.5.6 Argentina
    • 8.5.7 Peru
    • 8.5.8 Chile
    • 8.5.9 South East Asia
    • 8.5.10 Rest of Latin America
  • 8.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.6.1 By Component
    • 8.6.2 By Application
    • 8.6.3 By Deployment Mode
    • 8.6.4 By End-user
    • 8.6.5 Saudi Arabia
    • 8.6.6 UAE
    • 8.6.7 Israel
    • 8.6.8 South Africa
    • 8.6.9 Rest of the Middle East And Africa

Chapter 9. COMPETITIVE LANDSCAPE

  • 9.1. Recent Developments
  • 9.2. Company Categorization
  • 9.3. Supply Chain & Channel Partners (based on availability)
  • 9.4. Market Share & Positioning Analysis (based on availability)
  • 9.5. Vendor Landscape (based on availability)
  • 9.6. Strategy Mapping

Chapter 10. COMPANY PROFILES OF GLOBAL NEUROMORPHIC COMPUTING INDUSTRY

  • 10.1. Top Companies Market Share Analysis
  • 10.2. Company Profiles
    • 10.2.1 Intel Corporation
    • 10.2.2 IBM Corporation
    • 10.2.3 Qualcomm Incorporated
    • 10.2.4 BrainChip Holdings Ltd
    • 10.2.5 Samsung Electronics Co. Ltd
    • 10.2.6 General Vision Inc
    • 10.2.7 GrAI Matter Labs
    • 10.2.8 Innatera Nanosystems B.V
    • 10.2.9 SynSense AG
    • 10.2.10 Prophesee SA
    • 10.2.11 Applied Brain Research Inc
    • 10.2.12 Numenta Inc
    • 10.2.13 Vicarious FPC Inc
    • 10.2.14 Knowm Inc
    • 10.2.15 Gyrfalcon Technology Inc
샘플 요청 목록
0 건의 상품을 선택 중
목록 보기
전체삭제