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PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1570859

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PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1570859

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

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PAGES: 210 Pages
DELIVERY TIME: 2-3 business days
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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.

Product Code: 10664

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
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Jeroen Van Heghe

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Christine Sirois

Manager - Americas

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