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市場調查報告書
商品編碼
2015374

全球神經型態晶片市場（至2040年）：產業趨勢與預測

Neuromorphic Chip Market, Till 2040: Industry Trends and Global Forecasts
出版日期: | 出版商: Roots Analysis | 英文 199 Pages | 商品交期: 7-10個工作天內

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簡介目錄

神經型態晶片市場展望

預計到2040年，全球神經型態晶片市場規模將達到 186.1億美元，高於目前的23.9億美元，到2040年年複合成長率將達到 15.79%。

神經型態晶片是一種新型的先進處理器，目的是模擬人腦的結構和功能，為計算帶來革命性的方法。與受馮、諾依曼瓶頸限制的傳統架構不同，神經型態系統將運算和儲存整合到人工神經元和突觸中，實現高度並行化的事件驅動處理。

與傳統GPU和CPU相比，這種架構創新顯著降低了功耗，大幅提升了能源效率。全球人工智慧能源需求的激增進一步加速了這一發展趨勢，迫切需要高性能推理解決方案，同時又不影響電網的穩定性。隨著低功耗智慧運算在管理動態現實世界環境以及與邊緣人工智慧框架無縫整合方面的重要性日益凸顯，神經型態晶片市場在可預見的未來有望繼續保持成長動力。

神經形態晶片市場-IMG1

為高階主管提供策略見解

神經型態晶片市場的主要成長促進因素

神經型態晶片市場的主要驅動力是各行各業對節能高效、高效能人工智慧處理能力的激增需求。智慧攝影機和物聯網感測器等邊緣應用對即時設備端智慧的需求日益成長，加速了神經形態晶片的普及。神經型態架構無需依賴雲端基礎設施即可實現類腦低延遲運算。國防和機器人領域的持續投入進一步推動了市場成長，各國政府正投資於用於在動態環境中運作的自主無人機和機器人平台的自適應智慧系統。此外，資料中心能耗的不斷增加促使企業尋求比傳統處理器更節能的替代方案，而神經型態晶片被視為一種能夠顯著降低大規模的理想解決方案。神經科學研究的進步也提升了晶片設計能力，加速了更先進認知系統的商業化進程。自動駕駛汽車的快速普及也推動了市場發展，神經型態處理器能夠提升感知能力、感測器融合能力和即時決策能力，實現更安全的駕駛。

神經型態晶片市場：產業內各公司的競爭格局

神經型態晶片市場競爭異常激烈，既有老牌跨國公司，也有新興的專業技術公司參與其中。每家公司都在積極利用技術創新、策略性資金籌措、投資和合作夥伴關係來強化產品系列併擴大市場影響。例如，近年來，Intel推出了Hala Point，這是目前全球最大的神經型態系統，部署在桑迪亞國家實驗室，由其Loihi 2處理器驅動。與前代產品Pohoiki Springs相比，該系統的神經元容量提升了約10倍，效能提升了約12倍，並推動受大腦啟發的永續人工智慧研究。

同樣，IBM也在推進其雙神經形態策略，旗下TrueNorth專為超低功耗的神經型態處理而設計，而NorthPole則目的是顯著提升速度和能效，遠超傳統GPU，並大幅加速大型語言模型的推理。這項策略得到了DARPA資助的研究支持，目標是在2026年實現5nm製程的商業化流片。

本報告對全球神經型態晶片市場進行了分析，提供了市場規模估算、機會分析、競爭格局和公司簡介等資訊。

目錄

第1章 計劃概述

第2章 調查方法

第3章 市場動態

第4章 宏觀經濟指標

第5章 執行摘要

第6章 引言

第7章 監管情景

第8章 主要企業綜合資料庫

第9章 競爭情勢

第10章 閒置頻段分析

第11章 企業競爭力分析

第12章 Start-Ups生態系分析

第13章 公司簡介

  • 章節概要
  • Applied Brain Research
  • BrainChip Holdings
  • CEA-Leti
  • Cerebras Systems
  • Ceryx Medical
  • General Vision
  • Gyrfalcon Technology
  • Hewlett Packard Labs（HPE）
  • HRL Laboratories
  • IBM
  • Innatera Nanosystems
  • Intel
  • Knowm
  • Koniku
  • Lockheed Martin
  • MemComputing
  • Micron Technology
  • Nepes
  • Numenta
  • NVIDIA
  • Qualcomm
  • Samsung Electronics
  • SK Hynix

第14章 分析大趨勢

第15章 未滿足需求的分析

第16章 專利分析

第17章 最新進展

第18章 全球神經型態晶片市場

第19章 市場機會：依組件分類

第20章 市場機會：依神經型態晶片類型分類

第21章 市場機會：依建築類型分類

第22章 市場機會：依部署方式分類

第23章 市場機會：依可塑性機制類型分類

第24章 市場機會：依整合類型分類

第25章 市場機會：依單域架構類型分類

第26章 市場機會：依應用領域分類

第27章 市場機會：依最終用途產業分類

第28章 北美神經型態晶片的市場機會

第29章 歐洲神經型態晶片的市場機會

第30章 亞太地區神經型態晶片的市場機會

第31章 拉丁美洲神經型態晶片的市場機會

第32章 中東和非洲神經型態晶片的市場機會

第33章 市場集中度分析：依主要企業分類

第34章 鄰近市場分析

第35章 關鍵成功策略

第36章 波特五力分析

第37章 SWOT分析

第38章 價值鏈分析

第39章 Roots的戰略建議

第40章 來自初步調查的見解

第41章 報告結論

第42章 表格形式資料

第43章 公司與組織列表

簡介目錄
Product Code: RAICT300804

Neuromorphic Chip Market Outlook

As per Roots Analysis, the global neuromorphic chip market size is estimated to grow from USD 2.39 billion in current year to USD 18.61 billion by 2040, at a CAGR of 15.79% during the forecast period, till 2040.

Neuromorphic chips are an emerging class of advanced processors designed to emulate the structure and functioning of the human brain, offering a transformative approach to computing. Unlike conventional architectures constrained by the von Neumann bottleneck, neuromorphic systems integrate computation and memory within artificial neurons and synapses, enabling highly parallel, event-driven processing.

This architectural innovation significantly reduces power consumption compared to traditional GPUs and CPUs, delivering orders-of-magnitude improvements in energy efficiency. This evolution has been further accelerated by the sharp rise in global AI energy demand, which has created an urgent requirement for high-performance inference solutions that do not compromise power grid stability. With increasing emphasis on low-power intelligent computing and seamless integration with edge AI frameworks to manage dynamic, real-world environments, the neuromorphic chip market continues to gain momentum throughout the foreseeable future.

Neuromorphic Chip Market - IMG1

Strategic Insights for Senior Leaders

Key Drivers Propelling Growth of Neuromorphic Chip Market

The neuromorphic chip market is primarily driven by the surging demand for energy-efficient and high-performance AI processing across industries. The growing need for real-time, on-device intelligence in edge applications (such as smart cameras and IoT sensors), is accelerating adoption, as neuromorphic architectures enable low-latency, brain-inspired computing without reliance on cloud infrastructure. Expanding defense and robotics initiatives are further supporting market growth, with governments investing in adaptive intelligence systems for autonomous drones and robotic platforms operating in dynamic environments. Additionally, rising energy consumption in data centers is prompting enterprises to seek power-efficient alternatives to conventional processors, positioning neuromorphic chips as a viable solution for large-scale cost savings. Additionally, advances in neuroscience research are also strengthening chip design capabilities, facilitating the commercialization of more sophisticated cognitive systems. Moreover, the rapid expansion of autonomous vehicles is contributing to market momentum, as neuromorphic processors enhance perception, sensor fusion, and real-time decision-making for safer navigation.

Neuromorphic Chip Market: Competitive Landscape of Companies in this Industry

The neuromorphic chip market is characterized by intense competition, marked by the presence of both established multinational corporations and emerging specialized technology firms. Companies are actively leveraging technological innovation, strategic funding, investments, and collaborative partnerships to strengthen their product portfolios and expand market presence. For instance, recently, Intel introduced Hala Point, the world's largest neuromorphic system powered by Loihi 2 processors and deployed at Sandia National Laboratories. This is delivering nearly ten times greater neuron capacity and twelve times higher performance than its predecessor, Pohoiki Springs, to advance sustainable brain-inspired AI research.

Similarly, IBM is advancing a dual neuromorphic strategy through TrueNorth, which is designed for ultra-low-power sensory processing, and NorthPole, which is engineered to significantly accelerate large language model inference with substantial improvements in speed and energy efficiency over conventional GPUs. This initiative is supported by DARPA-backed research and is targeting a commercial-scale 5nm tape-out by 2026.

Key Technological Advancements and Emerging Trends in the Industry

The neuromorphic chip market is witnessing several transformative trends driven by advancements in connectivity, healthcare innovation, next-generation computing, and global manufacturing expansion. The rapid rollout of 5G networks is accelerating Edge AI deployment, enabling neuromorphic processors to power smart city infrastructure (such as traffic monitoring systems and connected wearables), thereby capturing opportunities within the rapidly expanding edge computing ecosystem.

Simultaneously, the development of neuro-inspired microcontrollers is supporting biometric monitoring in wearable devices, creating new avenues for personalized healthcare solutions, particularly for aging populations. Emerging research into quantum-hybrid architectures is gaining significant attention. Integrating neuromorphic systems with quantum computing platforms has the potential to solve highly complex simulations in areas such as drug discovery, thereby attracting pharmaceutical companies seeking to accelerate research and development timelines.

Regional Analysis of Neuromorphic Chip Market

In the evolving neuromorphic chip market, Europe holds a significant market share, largely driven by strong adoption across the industrial and automotive sectors. Regional growth is supported by stringent Vision Zero autonomous vehicle initiatives and the accelerating implementation of Industry 4.0 strategies. Meanwhile, the Middle East and Africa account for 10.70% of the market, positioning themselves as a strategic infrastructure-driven growth region. This expansion is underpinned by large-scale smart city developments, including Saudi Arabia's NEOM and major urban transformation initiatives in the UAE, where neuromorphic chips are deployed for grid optimization, intelligent surveillance, and sustainability-focused infrastructure management. In contrast, Latin America currently represents a smaller share but is projected to expand at a robust CAGR, emerging as a growing data and innovation hub.

Key Challenges in Neuromorphic Chip Market

The neuromorphic chip market faces several structural and technological challenges that may constrain its growth trajectory. High research and development costs associated with designing brain-inspired architectures limit broader participation. This enables only well-capitalized corporations to compete effectively while smaller firms struggle with commercialization and scalability. Additionally, existing semiconductor fabrication infrastructure remains inadequately optimized for neuromorphic designs, resulting in low production yields and operational inefficiencies that delay large-scale deployment. The market is further hindered by a limited software ecosystem, as the shortage of developers skilled in programming spiking neural networks restricts application development and slows adoption in comparison to established GPU-supported AI frameworks.

Neuromorphic Chip Market: Key Market Segmentation

Market Share by Component

  • Hardware
  • Processors
  • Memory
  • Sensors
  • Software
  • Development Frameworks & SDKs
  • Mapping & Simulation Tools
  • Algorithms & Libraries
  • Services
  • Consulting & Integration
  • Support & Maintenance

Market Share by Type of Neuromorphic Chip

  • Analog Neuromorphic Chips
  • Digital Neuromorphic Chips
  • Mixed-Signal Neuromorphic Chips

Market Share by Type of Architecture

  • ASIC-based Neuromorphic Chips
  • Deep Neural Networks (DNN) Accelerators
  • FPGA-based Neuromorphic Chips
  • Memristor-based Chips
  • Spiking Neural Networks (SNN)

Market Share by Deployment Mode

  • Edge Computing / Devices
  • Cloud Computing / Data Center Nodes

Market Share by Type of Plasticity Mechanism

  • Inference-Only Chips
  • On-Chip Learning / Adaptive Chips

Market Share by Type of Integration

  • Embedded Neuromorphic IP Cores
  • Neuromorphic Sensing Units
  • Standalone Neuromorphic Accelerators

Market Share by Type of Single Domain Architecture

  • Hybrid Mixed-Signal
  • Pure Digital (SNN)
  • Sub-Threshold Analog

Market Share by Application Area

  • Audio & Signal Processing
  • Cybersecurity & Pattern Recognition
  • Data Mining & Analytics
  • Edge AI and IoT Devices
  • Healthcare & Wearable
  • Image & Video Processing
  • Natural Language Processing (NLP)
  • Object Detection & Recognition
  • Sensor Fusion

Market Share by End Use Industry

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

Market Share by Geographical Regions

  • North America
  • US
  • Canada
  • Mexico
  • Rest of North America
  • Europe
  • Austria
  • Belgium
  • Denmark
  • France
  • Germany
  • Ireland
  • Italy
  • Netherlands
  • Norway
  • Russia
  • Spain
  • Sweden
  • Switzerland
  • UK
  • Rest of Europe
  • Asia-Pacific
  • Australia
  • China
  • India
  • Japan
  • New-Zealand
  • Singapore
  • South Korea
  • Rest of Asia-Pacific
  • Latin America
  • Brazil
  • Chile
  • Colombia
  • Venezuela
  • Rest of Latin America
  • Middle East and Africa (MEA)
  • Egypt
  • Iran
  • Iraq
  • Israel
  • Kuwait
  • Saudi Arabia
  • UAE
  • Rest of MEA

Example Players in Neuromorphic Chip Market

  • Applied Brain Research
  • BrainChip Holdings
  • CEA-Leti
  • Cerebras Systems
  • Ceryx Medical
  • General Vision
  • Gyrfalcon Technology
  • Hewlett Packard Labs (HPE)
  • HRL Laboratories
  • IBM
  • Innatera Nanosystems
  • Intel
  • Knowm
  • Koniku
  • Lockheed Martin
  • MemComputing
  • Micron Technology
  • Nepes
  • Numenta
  • NVIDIA
  • Qualcomm
  • Samsung Electronics
  • SK Hynix

neuromorphic Chip Market: Report Coverage

The report on the neuromorphic chip market features insights on various sections, including:

  • Market Sizing and Opportunity Analysis: An in-depth analysis of the neuromorphic chip market, focusing on key market segments, including [A] component, [B] type of neuromorphic chip, [C] type of architecture, [D] type of plasticity mechanism, [E] type of integration, [F] type of single domain architecture, [G] deployment mode, [H] application area, [I] end use industry, [J] geographical regions, and [K] leading players.
  • Competitive Landscape: A comprehensive analysis of the companies engaged in the neuromorphic chip market, based on several relevant parameters, such as [A] year of establishment, [B] company size, [C] location of headquarters and [D] ownership structure.
  • Company Profiles: Elaborate profiles of prominent players engaged in the neuromorphic chip market, providing details on [A] location of headquarters, [B] company size, [C] company mission, [D] company footprint, [E] management team, [F] contact details, [G] financial information, [H] operating business segments, [I] product / technology portfolio, [J] recent developments, and an informed future outlook.
  • Megatrends: An evaluation of ongoing megatrends in the neuromorphic chip industry.
  • Patent Analysis: An insightful analysis of patents filed / granted in the neuromorphic chip domain, based on relevant parameters, including [A] type of patent, [B] patent publication year, [C] patent age and [D] leading players.
  • Recent Developments: An overview of the recent developments made in the neuromorphic chip market, along with analysis based on relevant parameters, including [A] year of initiative, [B] type of initiative, [C] geographical distribution and [D] most active players.
  • Porter's Five Forces Analysis: An analysis of five competitive forces prevailing in the neuromorphic chip market, including threats of new entrants, bargaining power of buyers, bargaining power of suppliers, threats of substitute products and rivalry among existing competitors.
  • SWOT Analysis: An insightful SWOT framework, highlighting the strengths, weaknesses, opportunities and threats in the domain. Additionally, it provides Harvey ball analysis, highlighting the relative impact of each SWOT parameter.

Key Questions Answered in this Report

  • What is the current and future market size?
  • Who are the leading companies in this market?
  • What are the growth drivers that are likely to influence the evolution of this market?
  • What are the key partnership and funding trends shaping this industry?
  • Which region is likely to grow at higher CAGR till 2040?
  • How is the current and future market opportunity likely to be distributed across key market segments?

Reasons to Buy this Report

  • Detailed Market Analysis: The report provides a comprehensive market analysis, offering detailed revenue projections of the overall market and its specific sub-segments. This information is valuable to both established market leaders and emerging entrants.
  • In-depth Analysis of Trends: Stakeholders can leverage the report to gain a deeper understanding of the competitive dynamics within the market. Each report maps ecosystem activity across partnerships, funding, and patent landscapes to reveal growth hotspots and white spaces in the industry.
  • Opinion of Industry Experts: The report features extensive interviews and surveys with key opinion leaders and industry experts to validate market trends mentioned in the report.
  • Decision-ready Deliverables: The report offers stakeholders with strategic frameworks (Porter's Five Forces, value chain, SWOT), and complimentary Excel / slide packs with customization support.

Additional Benefits

  • Complimentary Dynamic Excel Dashboards for Analytical Modules
  • Exclusive 15% Free Content Customization
  • Personalized Interactive Report Walkthrough with Our Expert Research Team
  • Free Report Updates for Versions Older than 6-12 Months

TABLE OF CONTENTS

1. PROJECT OVERVIEW

  • 1.1. Context
  • 1.2. Project Objectives

2. RESEARCH METHODOLOGY

  • 2.1. Chapter Overview
  • 2.2. Research Assumptions
  • 2.3. Database Building
    • 2.3.1. Data Collection
    • 2.3.2. Data Validation
    • 2.3.3. Data Analysis
  • 2.4. Project Methodology
    • 2.4.1. Secondary Research
      • 2.4.1.1. Annual Reports
      • 2.4.1.2. Academic Research Papers
      • 2.4.1.3. Company Websites
      • 2.4.1.4. Investor Presentations
      • 2.4.1.5. Regulatory Filings
      • 2.4.1.6. White Papers
      • 2.4.1.7. Industry Publications
      • 2.4.1.8. Conferences and Seminars
      • 2.4.1.9. Government Portals
      • 2.4.1.10. Media and Press Releases
      • 2.4.1.11. Newsletters
      • 2.4.1.12. Industry Databases
      • 2.4.1.13. Roots Proprietary Databases
      • 2.4.1.14. Paid Databases and Sources
      • 2.4.1.15. Social Media Portals
      • 2.4.1.16. Other Secondary Sources
    • 2.4.2. Primary Research
      • 2.4.2.1. Introduction
      • 2.4.2.2. Types
        • 2.4.2.2.1. Qualitative
        • 2.4.2.2.2. Quantitative
      • 2.4.2.3. Advantages
      • 2.4.2.4. Techniques
        • 2.4.2.4.1. Interviews
        • 2.4.2.4.2. Surveys
        • 2.4.2.4.3. Focus Groups
        • 2.4.2.4.4. Observational Research
        • 2.4.2.4.5. Social Media Interactions
      • 2.4.2.5. Stakeholders
        • 2.4.2.5.1. Company Executives (CXOs)
        • 2.4.2.5.2. Board of Directors
        • 2.4.2.5.3. Company Presidents and Vice Presidents
        • 2.4.2.5.4. Key Opinion Leaders
        • 2.4.2.5.5. Research and Development Heads
        • 2.4.2.5.6. Technical Experts
        • 2.4.2.5.7. Subject Matter Experts
        • 2.4.2.5.8. Scientists
        • 2.4.2.5.9. Doctors and Other Healthcare Providers
      • 2.4.2.6. Ethics and Integrity
        • 2.4.2.6.1. Research Ethics
        • 2.4.2.6.2. Data Integrity
    • 2.4.3. Analytical Tools and Databases

3. MARKET DYNAMICS

  • 3.1. Forecast Methodology
    • 3.1.1. Top-Down Approach
    • 3.1.2. Bottom-Up Approach
    • 3.1.3. Hybrid Approach
  • 3.2. Market Assessment Framework
    • 3.2.1. Total Addressable Market (TAM)
    • 3.2.2. Serviceable Addressable Market (SAM)
    • 3.2.3. Serviceable Obtainable Market (SOM)
    • 3.2.4. Currently Acquired Market (CAM)
  • 3.3. Forecasting Tools and Techniques
    • 3.3.1. Qualitative Forecasting
    • 3.3.2. Correlation
    • 3.3.3. Regression
    • 3.3.4. Time Series Analysis
    • 3.3.5. Extrapolation
    • 3.3.6. Convergence
    • 3.3.7. Forecast Error Analysis
    • 3.3.8. Data Visualization
    • 3.3.9. Scenario Planning
    • 3.3.10. Sensitivity Analysis
  • 3.4. Key Considerations
    • 3.4.1. Demographics
    • 3.4.2. Market Access
    • 3.4.3. Reimbursement Scenarios
    • 3.4.4. Industry Consolidation
  • 3.5. Robust Quality Control
  • 3.6. Key Market Segmentations
  • 3.7. Limitations

4. MACRO-ECONOMIC INDICATORS

  • 4.1. Chapter Overview
  • 4.2. Market Dynamics
    • 4.2.1. Time Period
      • 4.2.1.1. Historical Trends
      • 4.2.1.2. Current and Forecasted Estimates
    • 4.2.2. Currency Coverage
      • 4.2.2.1. Overview of Major Currencies Affecting the Market
      • 4.2.2.2. Impact of Currency Fluctuations on the Industry
    • 4.2.3. Foreign Exchange Impact
      • 4.2.3.1. Evaluation of Foreign Exchange Rates and Their Impact on Market
      • 4.2.3.2. Strategies for Mitigating Foreign Exchange Risk
    • 4.2.4. Recession
      • 4.2.4.1. Historical Analysis of Past Recessions and Lessons Learnt
      • 4.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market
    • 4.2.5. Inflation
      • 4.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
      • 4.2.5.2. Potential Impact of Inflation on the Market Evolution
    • 4.2.6. Interest Rates
      • 4.2.6.1. Overview of Interest Rates and Their Impact on the Market
      • 4.2.6.2. Strategies for Managing Interest Rate Risk
    • 4.2.7. Commodity Flow Analysis
      • 4.2.7.1. Type of Commodity
      • 4.2.7.2. Origins and Destinations
      • 4.2.7.3. Values and Weights
      • 4.2.7.4. Modes of Transportation
    • 4.2.8. Global Trade Dynamics
      • 4.2.8.1. Import Scenario
      • 4.2.8.2. Export Scenario
    • 4.2.9. War Impact Analysis
      • 4.2.9.1. Russian-Ukraine War
      • 4.2.9.2. Israel-Hamas War
    • 4.2.10. COVID Impact / Related Factors
      • 4.2.10.1. Global Economic Impact
      • 4.2.10.2. Industry-specific Impact
      • 4.2.10.3. Government Response and Stimulus Measures
      • 4.2.10.4. Future Outlook and Adaptation Strategies
    • 4.2.11. Other Indicators
      • 4.2.11.1. Fiscal Policy
      • 4.2.11.2. Consumer Spending
      • 4.2.11.3. Gross Domestic Product (GDP)
      • 4.2.11.4. Employment
      • 4.2.11.5. Taxes
      • 4.2.11.6. R&D Innovation
      • 4.2.11.7. Stock Market Performance
      • 4.2.11.8. Supply Chain
      • 4.2.11.9. Cross-Border Dynamics
  • 4.3. Concluding Remarks

5. EXECUTIVE SUMMARY

6. INTRODUCTION

  • 6.1. Chapter Overview
  • 6.2. Overview of Neuromorphic Chip Market
    • 6.2.1. Type of Component
    • 6.2.2. Type of Neuromorphic Chip
    • 6.2.3. Type of Architecture
    • 6.2.4. Type of Deployment
    • 6.2.5. Type of Plasticity Mechanism
    • 6.2.6. Type of Integration
    • 6.2.7. Type of Single Domain Architecture
    • 6.2.8. Application Area
    • 6.2.9. End Use Industry
  • 6.3. Future Perspective

7. REGULATORY SCENARIO

8. COMPREHENSIVE DATABASE OF LEADING PLAYERS

9. COMPETITIVE LANDSCAPE

  • 9.1. Chapter Overview
  • 9.2. Neuromorphic Chip Market: Overall Market Landscape
    • 9.2.1. Analysis by Year of Establishment
    • 9.2.2. Analysis by Company Size
    • 9.2.3. Analysis by Location of Headquarters
    • 9.2.4. Analysis by Type of Company
  • 9.3. Key Findings

10. WHITE SPACE ANALYSIS

11. COMPANY COMPETITIVENESS ANALYSIS

12. STARTUP ECOSYSTEM ANALYSIS

  • 12.1. Neuromorphic Chip Market: Startup Ecosystem Analysis
    • 12.1.1. Analysis by Year of Establishment
    • 12.1.2. Analysis by Company Size
    • 12.1.3. Analysis by Location of Headquarters
    • 12.1.4. Analysis by Ownership Type
  • 12.2. Key Findings

13. COMPANY PROFILES

  • 13.1. Chapter Overview
  • 13.2. Applied Brain Research
    • 13.2.1. Company Overview
    • 13.2.2. Company Mission
    • 13.2.3. Company Footprint
    • 13.2.4. Management Team
    • 13.2.5. Contact Details
    • 13.2.6. Financial Performance
    • 13.2.7. Operating Business Segments
    • 13.2.8. Service / Product Portfolio (project specific)
    • 13.2.9. MOAT Analysis
    • 13.2.10. Recent Developments and Future Outlook
  • Similar details are presented for other companies mentioned below (based on information in the public domain)
  • 13.3. BrainChip Holdings
  • 13.4. CEA-Leti
  • 13.5. Cerebras Systems
  • 13.6. Ceryx Medical
  • 13.7. General Vision
  • 13.8. Gyrfalcon Technology
  • 13.9. Hewlett Packard Labs (HPE)
  • 13.10. HRL Laboratories
  • 13.11. IBM
  • 13.12. Innatera Nanosystems
  • 13.13. Intel
  • 13.14. Knowm
  • 13.15. Koniku
  • 13.16. Lockheed Martin
  • 13.17. MemComputing
  • 13.18. Micron Technology
  • 13.19. Nepes
  • 13.20. Numenta
  • 13.21. NVIDIA
  • 13.22. Qualcomm
  • 13.23. Samsung Electronics
  • 13.24. SK Hynix

14. MEGA TRENDS ANALYSIS

15. UNMET NEED ANALYSIS

16. PATENT ANALYSIS

17. RECENT DEVELOPMENTS

  • 17.1. Chapter Overview
  • 17.2. Recent Funding
  • 17.3. Recent Partnerships
  • 17.4. Other Recent Initiatives

18. GLOBAL NEUROMORPHIC CHIP MARKET

  • 18.1. Chapter Overview
  • 18.2. Key Assumptions and Methodology
  • 18.3. Trends Disruption Impacting Market
  • 18.4. Demand Side Trends
  • 18.5. Supply Side Trends
  • 18.6. Global Neuromorphic Chip Market: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 18.7. Multivariate Scenario Analysis
    • 18.7.1. Conservative Scenario
    • 18.7.2. Optimistic Scenario
  • 18.8. Investment Feasibility Index
  • 18.9. Key Market Segmentations

19. MARKET OPPORTUNITIES BASED ON COMPONENT

  • 19.1. Chapter Overview
  • 19.2. Key Assumptions and Methodology
  • 19.3. Revenue Shift Analysis
  • 19.4. Market Movement Analysis
  • 19.5. Penetration-Growth (P-G) Matrix
  • 19.6. Neuromorphic Chip Market for Hardware: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 19.6.1. Neuromorphic Chip Hardware Market for Processors: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 19.6.2. Neuromorphic Chip Hardware Market for Memory: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 19.6.3. Neuromorphic Chip Hardware Market for Sensors: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 19.7. Neuromorphic Chip Market for Software: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 19.7.1. Neuromorphic Chip Software Market for Development Frameworks & SDKs: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 19.7.2. Neuromorphic Chip Software Market for Mapping & Simulation Tools: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 19.7.3. Neuromorphic Chip Software Market for Algorithms & Libraries: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 19.8. Neuromorphic Chip Market for Services: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 19.8.1. Neuromorphic Chip Services Market for Consulting & Integration: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 19.8.2. Neuromorphic Chip Services Market for Support & Maintenance: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 19.9. Data Triangulation and Validation
    • 19.9.1. Secondary Sources
    • 19.9.2. Primary Sources
    • 19.9.3. Statistical Modeling

20. MARKET OPPORTUNITIES BASED ON TYPE OF NEUROMORPHIC CHIP

  • 20.1. Chapter Overview
  • 20.2. Key Assumptions and Methodology
  • 20.3. Revenue Shift Analysis
  • 20.4. Market Movement Analysis
  • 20.5. Penetration-Growth (P-G) Matrix
  • 20.6. Neuromorphic Chip Market for Analog Neuromorphic Chips: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 20.7. Neuromorphic Chip Market for Digital Neuromorphic Chips: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 20.8. Neuromorphic Chip Market for Mixed-Signal Neuromorphic Chips: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 20.9. Data Triangulation and Validation
    • 20.9.1. Secondary Sources
    • 20.9.2. Primary Sources
    • 20.9.3. Statistical Modeling

21. MARKET OPPORTUNITIES BASED ON TYPE OF ARCHITECTURE

  • 21.1. Chapter Overview
  • 21.2. Key Assumptions and Methodology
  • 21.3. Revenue Shift Analysis
  • 21.4. Market Movement Analysis
  • 21.5. Penetration-Growth (P-G) Matrix
  • 21.6. Neuromorphic Chip Market for ASIC-based Neuromorphic Chips: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 21.7. Neuromorphic Chip Market for Deep Neural Networks (DNN) Accelerators: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 21.8. Neuromorphic Chip Market for FPGA-based Neuromorphic Chips: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 21.9. Neuromorphic Chip Market for Memristor-based Chips: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 21.10. Neuromorphic Chip Market for Spiking Neural Networks (SNN): Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 21.11. Data Triangulation and Validation
    • 21.11.1. Secondary Sources
    • 21.11.2. Primary Sources
    • 21.11.3. Statistical Modeling

22. MARKET OPPORTUNITIES BASED ON DEPLOYMENT MODE

  • 22.1. Chapter Overview
  • 22.2. Key Assumptions and Methodology
  • 22.3. Revenue Shift Analysis
  • 22.4. Market Movement Analysis
  • 22.5. Penetration-Growth (P-G) Matrix
  • 22.6. Neuromorphic Chip Market for Edge Computing / Devices: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 22.7. Neuromorphic Chip Market for Cloud Computing / Data Center Nodes: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 22.8. Data Triangulation and Validation
    • 22.8.1. Secondary Sources
    • 22.8.2. Primary Sources
    • 22.8.3. Statistical Modeling

23. MARKET OPPORTUNITIES BASED ON TYPE OF PLASTICITY MECHANISM

  • 23.1. Chapter Overview
  • 23.2. Key Assumptions and Methodology
  • 23.3. Revenue Shift Analysis
  • 23.4. Market Movement Analysis
  • 23.5. Penetration-Growth (P-G) Matrix
  • 23.6. Neuromorphic Chip Market for Inference-Only Chips: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 23.7. Neuromorphic Chip Market for On-Chip Learning / Adaptive Chips: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 23.8. Data Triangulation and Validation
    • 23.8.1. Secondary Sources
    • 23.8.2. Primary Sources
    • 23.8.3. Statistical Modeling

24. MARKET OPPORTUNITIES BASED ON TYPE OF INTEGRATION

  • 24.1. Chapter Overview
  • 24.2. Key Assumptions and Methodology
  • 24.3. Revenue Shift Analysis
  • 24.4. Market Movement Analysis
  • 24.5. Penetration-Growth (P-G) Matrix
  • 24.6. Neuromorphic Chip Market for Embedded Neuromorphic IP Cores: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 24.7. Neuromorphic Chip Market for Neuromorphic Sensing Units: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 24.8. Neuromorphic Chip Market for Standalone Neuromorphic Accelerators: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 24.9. Data Triangulation and Validation
    • 24.9.1. Secondary Sources
    • 24.9.2. Primary Sources
    • 24.9.3. Statistical Modeling

25. MARKET OPPORTUNITIES BASED ON TYPE OF SINGLE DOMAIN ARCHITECTURE

  • 25.1. Chapter Overview
  • 25.2. Key Assumptions and Methodology
  • 25.3. Revenue Shift Analysis
  • 25.4. Market Movement Analysis
  • 25.5. Penetration-Growth (P-G) Matrix
  • 25.6. Neuromorphic Chip Market for Hybrid Mixed-Signal: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 25.7. Neuromorphic Chip Market for Pure Digital (SNN): Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 25.8. Neuromorphic Chip Market for Sub-Threshold Analog: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 25.9. Data Triangulation and Validation
    • 25.9.1. Secondary Sources
    • 25.9.2. Primary Sources
    • 25.9.3. Statistical Modeling

26. MARKET OPPORTUNITIES BASED ON APPLICATION AREA

  • 26.1. Chapter Overview
  • 26.2. Key Assumptions and Methodology
  • 26.3. Revenue Shift Analysis
  • 26.4. Market Movement Analysis
  • 26.5. Penetration-Growth (P-G) Matrix
  • 26.6. Neuromorphic Chip Market for Audio & Signal Processing: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 26.7. Neuromorphic Chip Market for Cybersecurity & Pattern Recognition: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 26.8. Neuromorphic Chip Market for Data Mining & Analytics: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 26.9. Neuromorphic Chip Market for Edge AI and IoT Devices: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 26.10. Neuromorphic Chip Market for Healthcare & Wearable: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 26.11. Neuromorphic Chip Market for Image & Video Processing: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 26.12. Neuromorphic Chip Market for Natural Language Processing (NLP): Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 26.13. Neuromorphic Chip Market for Object Detection & Recognition: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 26.14. Neuromorphic Chip Market for Sensor Fusion: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 26.15. Data Triangulation and Validation
    • 26.15.1. Secondary Sources
    • 26.15.2. Primary Sources
    • 26.15.3. Statistical Modeling

27. MARKET OPPORTUNITIES BASED ON END USE INDUSTRY

  • 27.1. Chapter Overview
  • 27.2. Key Assumptions and Methodology
  • 27.3. Revenue Shift Analysis
  • 27.4. Market Movement Analysis
  • 27.5. Penetration-Growth (P-G) Matrix
  • 27.6. Neuromorphic Chip Market for Automotive: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 27.7. Neuromorphic Chip Market for Aerospace & Defense: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 27.8. Neuromorphic Chip Market for Consumer Electronics: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 27.9. Neuromorphic Chip Market for Healthcare: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 27.9. Neuromorphic Chip Market for Industrial Automation: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 27.10. Neuromorphic Chip Market for IT & Telecommunications: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 26.11. Data Triangulation and Validation
    • 26.11.1. Secondary Sources
    • 26.11.2. Primary Sources
    • 26.11.3. Statistical Modeling

28. MARKET OPPORTUNITIES FOR NEUROMORPHIC CHIP IN NORTH AMERICA

  • 28.1. Chapter Overview
  • 28.2. Key Assumptions and Methodology
  • 28.3. Revenue Shift Analysis
  • 28.4. Market Movement Analysis
  • 28.5. Penetration-Growth (P-G) Matrix
  • 28.6. Neuromorphic Chip Market in North America: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 28.6.1. Neuromorphic Chip Market in the US: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 28.6.2. Neuromorphic Chip Market in Canada: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 28.6.3. Neuromorphic Chip Market in Mexico: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 28.6.4. Neuromorphic Chip Market in Other North American Countries: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 28.7. Data Triangulation and Validation

29. MARKET OPPORTUNITIES FOR NEUROMORPHIC CHIP IN EUROPE

  • 29.1. Chapter Overview
  • 29.2. Key Assumptions and Methodology
  • 29.3. Revenue Shift Analysis
  • 29.4. Market Movement Analysis
  • 29.5. Penetration-Growth (P-G) Matrix
  • 29.6. Neuromorphic Chip Market in Europe: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 29.6.1. Neuromorphic Chip Market in Austria: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 29.6.2. Neuromorphic Chip Market in Belgium: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 29.6.3. Neuromorphic Chip Market in Denmark: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 29.6.4. Neuromorphic Chip Market in France: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 29.6.5. Neuromorphic Chip Market in Germany: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 29.6.6. Neuromorphic Chip Market in Ireland: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 29.6.7. Neuromorphic Chip Market in Italy: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 29.6.8. Neuromorphic Chip Market in the Netherlands: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 29.6.9. Neuromorphic Chip Market in Norway: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 29.6.10. Neuromorphic Chip Market in Russia: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 29.6.11. Neuromorphic Chip Market in Spain: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 29.6.12. Neuromorphic Chip Market in Sweden: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 29.6.13. Neuromorphic Chip Market in Switzerland: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 29.6.14. Neuromorphic Chip Market in the UK: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 29.6.15. Neuromorphic Chip Market in Other European Countries: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 29.7. Data Triangulation and Validation

30. MARKET OPPORTUNITIES FOR NEUROMORPHIC CHIP IN ASIA-PACIFIC

  • 30.1. Chapter Overview
  • 30.2. Key Assumptions and Methodology
  • 30.3. Revenue Shift Analysis
  • 30.4. Market Movement Analysis
  • 30.5. Penetration-Growth (P-G) Matrix
  • 30.6. Neuromorphic Chip Market in Asia-Pacific: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 30.6.1. Neuromorphic Chip Market in China: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 30.6.2. Neuromorphic Chip Market in India: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 30.6.3. Neuromorphic Chip Market in Japan: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 30.6.4. Neuromorphic Chip Market in Singapore: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 30.6.5. Neuromorphic Chip Market in South Korea: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 30.6.6. Neuromorphic Chip Market in Other Asian Countries: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 30.7. Data Triangulation and Validation

31. MARKET OPPORTUNITIES FOR NEUROMORPHIC CHIP IN LATIN AMERICA

  • 31.1. Chapter Overview
  • 31.2. Key Assumptions and Methodology
  • 31.3. Revenue Shift Analysis
  • 31.4. Market Movement Analysis
  • 31.5. Penetration-Growth (P-G) Matrix
  • 31.6. Neuromorphic Chip Market in Latin America: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 31.6.1. Neuromorphic Chip Market in Argentina: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 31.6.2. Neuromorphic Chip Market in Brazil: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 31.6.3. Neuromorphic Chip Market in Chile: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 31.6.4. Neuromorphic Chip Market in Colombia Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 31.6.5. Neuromorphic Chip Market in Venezuela: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 31.6.6. Neuromorphic Chip Market in Other Latin American Countries: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 31.7. Data Triangulation and Validation

32. MARKET OPPORTUNITIES FOR NEUROMORPHIC CHIP IN MIDDLE EAST AND AFRICA (MEA)

  • 32.1. Chapter Overview
  • 32.2. Key Assumptions and Methodology
  • 32.3. Revenue Shift Analysis
  • 32.4. Market Movement Analysis
  • 32.5. Penetration-Growth (P-G) Matrix
  • 32.6. Neuromorphic Chip Market in Middle East and Africa (MEA): Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 32.6.1. Neuromorphic Chip Market in Egypt: Historical Trends (Since 2022) and Forecasted Estimates (Till 205)
    • 32.6.2. Neuromorphic Chip Market in Iran: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 32.6.3. Neuromorphic Chip Market in Iraq: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 32.6.4. Neuromorphic Chip Market in Israel: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 32.6.5. Neuromorphic Chip Market in Kuwait: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 32.6.6. Neuromorphic Chip Market in Saudi Arabia: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 32.6.7. Neuromorphic Chip Market in United Arab Emirates (UAE): Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
    • 32.6.8. Neuromorphic Chip Market in Other MEA Countries: Historical Trends (Since 2022) and Forecasted Estimates (Till 2040)
  • 32.7. Data Triangulation and Validation

33. MARKET CONCENTRATION ANALYSIS: DISTRIBUTION BY LEADING PLAYERS

34. ADJACENT MARKET ANALYSIS

35. KEY WINNING STRATEGIES

36. PORTER'S FIVE FORCES ANALYSIS

37. SWOT ANALYSIS

38. VALUE CHAIN ANALYSIS

39. ROOTS STRATEGIC RECOMMENDATIONS

  • 39.1. Chapter Overview
  • 39.2. Key Business-related Strategies
    • 39.2.1. Research & Development
    • 39.2.2. Product Manufacturing
    • 39.2.3. Commercialization / Go-to-Market
    • 39.2.4. Sales and Marketing
  • 39.3. Key Operations-related Strategies
    • 39.3.1. Risk Management
    • 39.3.2. Workforce
    • 39.3.3. Finance
    • 39.3.4. Others

40. INSIGHTS FROM PRIMARY RESEARCH

41. REPORT CONCLUSION

42. TABULATED DATA

43. LIST OF COMPANIES AND ORGANIZATIONS