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ニューロモルフィックチップ市場レポート：提供、用途、最終用途産業、地域別、2024-2032

Neuromorphic Chip Market Report by Offering, Application, End Use Industry, and Region 2024-2032
出版日: | 発行: IMARC | ページ情報: 英文 140 Pages | 納期: 2～3営業日

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価格
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本日の銀行送金レート: 1USD=157.14円
ニューロモルフィックチップ市場レポート：提供、用途、最終用途産業、地域別、2024-2032
出版日: 2024年03月02日
発行: IMARC
ページ情報: 英文 140 Pages
納期: 2～3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

世界のニューロモルフィックチップ市場規模は、2023年に31億米ドルに達しました。今後、IMARC Groupは、2024～2032年の成長率（CAGR）は14.45％を示し、2032年までに108億米ドルに達すると予測しています。同市場は、カーボンフットプリントを最小限に抑え、持続可能性を維持するためのエネルギー効率に優れたソリューションへの需要の高まり、人工知能（AI）の進歩、処理速度の高速化への注目の高まり、ニューロモーフィックコンピューティングの継続的な研究によって力強い成長を遂げています。

ニューロモルフィックチップ市場の分析：

市場の成長と規模同市場は、ニューロモーフィック・コンピューティングへの注目の高まりとともに、AI駆動型アプリケーションの需要増に牽引され、力強い成長を遂げています。

技術の進歩：継続的な研究開発（R&D）活動により、ニューロモルフィックチップの設計と機能が強化され、市場の成長を後押ししています。また、これらの進歩はニューロモルフィックチップの競争力と関連性を維持するために不可欠です。

産業用途：ニューロモルフィックチップは医療や自動車分野で応用されています。その汎用性により、幅広い分野で利用価値があり、市場拡大に寄与しています。

地域別動向：北米が市場をリードしています。しかし、エネルギー効率の高いコンピューティング・ソリューションに対するニーズの高まりから、アジア太平洋地域が急成長市場として浮上しています。

競合情勢：各社は、チップ・アーキテクチャの改善、エネルギー効率の向上、処理能力の向上、新材料や製造技術の探求に注力しています。

課題と機会：ニューロモルフィックチップ設計の複雑さなどの課題に直面する一方で、モノのインターネット（IoT）やエッジ・コンピューティングへの注目の高まりという機会にも遭遇しています。

将来の展望：ニューロモルフィックチップ市場の将来は有望で、ブレイン・コンピュータ・インターフェイス（BCI）の進歩にニューロモルフィックチップが使用されるようになってきています。量子コンピューティングへの注目の高まりが市場成長を促進すると予想されます。

ニューロモルフィックチップ市場の動向：

人工知能（AI）の進歩

さまざまな産業でAIアプリケーションの利用が増加していることが、市場の成長に寄与しています。これに伴い、AIには機械学習（ML）、深層学習、自然言語処理（NLP）、コンピュータビジョンが含まれます。さらに、ニューロモルフィックチップは脳の神経回路網を模倣できるため、AIタスクに特に適しています。これに加えて、従来の中央演算処理装置（CPU）やグラフィックス・プロセッシング・ユニット（GPU）は、AIのエネルギー需要や並列処理要件で課題に直面しているが、ニューロモルフィックチップはこれらの分野で優れています。さらに、ヘルスケア、金融、自動車分野でAIの利用が増加していることも、市場成長を後押ししています。これとは別に、いくつかの用途で高性能ニューロモルフィックチップへの需要が高まっていることも、市場の見通しに明るさをもたらしています。

エネルギー効率への注目の高まり

エネルギー効率への注目の高まりが市場の成長を支えています。これに伴い、人間の脳のエネルギー効率に優れた動作にヒントを得たニューロモルフィックチップは、最小限の消費電力で複雑な計算を実行するように設計されています。これは、モノのインターネット（IoT）機器やドローンなど、バッテリーや遠隔地で動作する機器にとって価値があります。さらに、相互接続されたデバイスの増加に伴い、エネルギー効率の高い処理ソリューションに対するニーズが高まっていることも、市場にプラスの影響を与えています。これとは別に、ニューロモルフィックチップは、二酸化炭素排出量を削減しながら環境の持続可能性を維持するのに役立つ、電力要件を低減したタスクを実行することができます。さらに、ニューロモルフィックチップは持続可能で長持ちするスマート・デバイスの開発に役立ち、これが市場の成長を後押ししています。

処理速度の高速化に対する需要の高まり

従来のコンピューティング・アーキテクチャはシーケンシャルな処理に制限されていたが、ニューロモルフィックチップは高速で情報を処理し、脳の分散コンピューティングを模倣します。これに伴い、これらのチップは電光石火の高速データ処理と意思決定を可能にし、市場の成長に寄与しています。さらに、自律走行車、ロボット工学、防衛システムなどの用途で、リアルタイム応答を提供するニューロモルフィックチップに対する需要が高まっていることも、市場の成長を支えています。これとは別に、これらのチップは複雑なタスクを処理できるため、さまざまな用途に適しています。

ニューロモーフィック・コンピューティング研究

ニューロモーフィック・コンピューティング分野における継続的な研究開発（R&D）活動が、市場の成長を後押ししています。これとは別に、主要企業はチップ設計を強化し、ニューラルネットワークモデルを改良し、新しいアプリケーションを模索しています。神経科学、コンピューター科学、半導体技術の相乗効果により、より効率的で高性能なニューロモルフィックチップが生み出されています。さらに研究者たちは、脳の機能を模倣し、パターン認識、学習、意思決定などのタスクを可能にするハードウェアとソフトウェアの開発に取り組んでいます。さらに、AI、ロボット工学、ヘルスケアに応用できる効率的なコンピューティング・ソリューションの開発にも注力しています。

目次

第1章 序文

第2章 調査範囲と調査手法

  • 調査目的
  • 利害関係者
  • データソース
    • 一次情報
    • 二次情報
  • 市場推定
    • ボトムアップアプローチ
    • トップダウンアプローチ
  • 調査手法

第3章 エグゼクティブサマリー

第4章 イントロダクション

  • 概要
  • 主要産業動向

第5章 ニューロモルフィックチップの世界市場

  • 市場概要
  • 市場実績
  • COVID-19の影響
  • 市場予測

第6章 市場内訳：製品別

  • ハードウェア
    • 市場動向
    • 市場予測
  • ソフトウェア
    • 市場動向
    • 市場予測

第7章 市場内訳：用途別

  • 画像認識
    • 市場動向
    • 市場予測
  • 信号認識
    • 市場動向
    • 市場予測
  • データマイニング
    • 市場動向
    • 市場予測

第8章 市場内訳：最終用途産業別

  • 航空宇宙・防衛
    • 市場動向
    • 市場予測
  • IT・通信
    • 市場動向
    • 市場予測
  • 自動車
    • 市場動向
    • 市場予測
  • 医療
    • 市場動向
    • 市場予測
  • 産業
    • 市場動向
    • 市場予測
  • コンシューマーエレクトロニクス
    • 市場動向
    • 市場予測
  • その他
    • 市場動向
    • 市場予測

第9章 市場内訳：地域別

  • 北米
    • 米国
      • 市場動向
      • 市場予測
    • カナダ
      • 市場動向
      • 市場予測
  • アジア太平洋
    • 中国
      • 市場動向
      • 市場予測
    • 日本
      • 市場動向
      • 市場予測
    • インド
      • 市場動向
      • 市場予測
    • 韓国
      • 市場動向
      • 市場予測
    • オーストラリア
      • 市場動向
      • 市場予測
    • インドネシア
      • 市場動向
      • 市場予測
    • その他
      • 市場動向
      • 市場予測
  • 欧州
    • ドイツ
      • 市場動向
      • 市場予測
    • フランス
      • 市場動向
      • 市場予測
    • 英国
      • 市場動向
      • 市場予測
    • イタリア
      • 市場動向
      • 市場予測
    • スペイン
      • 市場動向
      • 市場予測
    • ロシア
      • 市場動向
      • 市場予測
    • その他
      • 市場動向
      • 市場予測
  • ラテンアメリカ
    • ブラジル
      • 市場動向
      • 市場予測
    • メキシコ
      • 市場動向
      • 市場予測
    • その他
      • 市場動向
      • 市場予測
  • 中東・アフリカ地域
    • 市場動向
    • 市場内訳：国別
    • 市場予測

第10章 SWOT分析

  • 概要
  • 強み
  • 弱み
  • 機会
  • 脅威

第11章 バリューチェーン分析

第12章 ポーターのファイブフォース分析

  • 概要
  • 買い手の交渉力
  • 供給企業の交渉力
  • 競合の程度
  • 新規参入業者の脅威
  • 代替品の脅威

第13章 価格分析

第14章 競合情勢

  • 市場構造
  • 主要企業
  • 主要企業のプロファイル
    • Applied Brain Research Inc.
    • BrainChip Holdings Ltd.
    • General Vision Inc.
    • GrAI Matter Labs
    • Hewlett Packard Enterprise Development LP
    • HRL Laboratories LLC
    • Intel Corporation
    • International Business Machines Corporation
    • Qualcomm Technologies Inc.
    • Samsung Electronics Co. Ltd.
    • SK hynix Inc.
図表

List of Figures

  • Figure 1: Global: Neuromorphic Chip Market: Major Drivers and Challenges
  • Figure 2: Global: Neuromorphic Chip Market: Sales Value (in Billion US$), 2018-2023
  • Figure 3: Global: Neuromorphic Chip Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 4: Global: Neuromorphic Chip Market: Breakup by Offering (in %), 2023
  • Figure 5: Global: Neuromorphic Chip Market: Breakup by Application (in %), 2023
  • Figure 6: Global: Neuromorphic Chip Market: Breakup by End Use Industry (in %), 2023
  • Figure 7: Global: Neuromorphic Chip Market: Breakup by Region (in %), 2023
  • Figure 8: Global: Neuromorphic Chip (Hardware) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 9: Global: Neuromorphic Chip (Hardware) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 10: Global: Neuromorphic Chip (Software) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 11: Global: Neuromorphic Chip (Software) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 12: Global: Neuromorphic Chip (Image Recognition) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 13: Global: Neuromorphic Chip (Image Recognition) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 14: Global: Neuromorphic Chip (Signal Recognition) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 15: Global: Neuromorphic Chip (Signal Recognition) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 16: Global: Neuromorphic Chip (Data Mining) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 17: Global: Neuromorphic Chip (Data Mining) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 18: Global: Neuromorphic Chip (Aerospace and Defense) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 19: Global: Neuromorphic Chip (Aerospace and Defense) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 20: Global: Neuromorphic Chip (IT and Telecom) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 21: Global: Neuromorphic Chip (IT and Telecom) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 22: Global: Neuromorphic Chip (Automotive) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 23: Global: Neuromorphic Chip (Automotive) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 24: Global: Neuromorphic Chip (Medical) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 25: Global: Neuromorphic Chip (Medical) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 26: Global: Neuromorphic Chip (Industrial) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 27: Global: Neuromorphic Chip (Industrial) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 28: Global: Neuromorphic Chip (Consumer Electronics) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 29: Global: Neuromorphic Chip (Consumer Electronics) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 30: Global: Neuromorphic Chip (Other End Use Industries) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 31: Global: Neuromorphic Chip (Other End Use Industries) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 32: North America: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 33: North America: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 34: United States: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 35: United States: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 36: Canada: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 37: Canada: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 38: Asia-Pacific: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 39: Asia-Pacific: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 40: China: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 41: China: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 42: Japan: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 43: Japan: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 44: India: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 45: India: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 46: South Korea: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 47: South Korea: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 48: Australia: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 49: Australia: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 50: Indonesia: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 51: Indonesia: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 52: Others: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 53: Others: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 54: Europe: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 55: Europe: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 56: Germany: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 57: Germany: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 58: France: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 59: France: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 60: United Kingdom: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 61: United Kingdom: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 62: Italy: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 63: Italy: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 64: Spain: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 65: Spain: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 66: Russia: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 67: Russia: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 68: Others: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 69: Others: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 70: Latin America: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 71: Latin America: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 72: Brazil: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 73: Brazil: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 74: Mexico: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 75: Mexico: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 76: Others: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 77: Others: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 78: Middle East and Africa: Neuromorphic Chip Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 79: Middle East and Africa: Neuromorphic Chip Market: Breakup by Country (in %), 2023
  • Figure 80: Middle East and Africa: Neuromorphic Chip Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 81: Global: Neuromorphic Chip Industry: SWOT Analysis
  • Figure 82: Global: Neuromorphic Chip Industry: Value Chain Analysis
  • Figure 83: Global: Neuromorphic Chip Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Neuromorphic Chip Market: Key Industry Highlights, 2023 and 2032
  • Table 2: Global: Neuromorphic Chip Market Forecast: Breakup by Offering (in Million US$), 2024-2032
  • Table 3: Global: Neuromorphic Chip Market Forecast: Breakup by Application (in Million US$), 2024-2032
  • Table 4: Global: Neuromorphic Chip Market Forecast: Breakup by End Use Industry (in Million US$), 2024-2032
  • Table 5: Global: Neuromorphic Chip Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 6: Global: Neuromorphic Chip Market: Competitive Structure
  • Table 7: Global: Neuromorphic Chip Market: Key Players
目次
Product Code: SR112024A4842

The global neuromorphic chip market size reached US$ 3.1 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 10.8 Billion by 2032, exhibiting a growth rate (CAGR) of 14.45% during 2024-2032. The market is experiencing robust growth driven by the growing demand for energy-efficient solutions to minimize carbon footprint and maintain sustainability, advancements in artificial intelligence (AI), increasing focus on faster processing speed, and ongoing research in neuromorphic computing.

Neuromorphic Chip Market Analysis:

Market Growth and Size: The market is witnessing robust growth, driven by the increasing demand for AI-driven applications, along with the rising focus on neuromorphic computing.

Technological Advancements: Continuous research and development (R&D) activities are leading to enhanced neuromorphic chip designs and capabilities, which are bolstering the market growth. In addition, these advancements are crucial for maintaining the competitiveness and relevance of neuromorphic chips.

Industry Applications: Neuromorphic chips find applications in the medical and automotive sectors. Their versatility makes them valuable across a wide range of sectors, contributing to market expansion.

Geographical Trends: North America leads the market, driven by favorable government initiatives. However, Asia Pacific is emerging as a fast-growing market due to the rising need for energy-efficient computing solutions.

Competitive Landscape: Companies are focusing on improving chip architectures, enhancing energy efficiency, increasing processing power, and exploring new materials and fabrication techniques.

Challenges and Opportunities: While the market faces challenges, such as the complexity of neuromorphic chip design, it also encounters opportunities in the increasing focus on the Internet of Things (IoT) and edge computing.

Future Outlook: The future of the neuromorphic chip market looks promising, with the rising use of neuromorphic chips in advancing brain-computer interfaces (BCIs). The increasing focus on quantum computing is anticipated to propel the market growth.

Neuromorphic Chip Market Trends:

Advancements in artificial intelligence (AI)

The rising usage of AI applications across various industries is contributing to the growth of the market. In line with this, AI encompasses machine learning (ML), deep learning, natural language processing (NLP), and computer vision. Moreover, neuromorphic chips can mimic the neural networks of the brain, which is particularly suitable for AI tasks. Besides this, traditional central processing units (CPUs) and graphics processing units (GPUs) face challenges with the energy demands and parallel processing requirements of AI, while neuromorphic chips excel in these areas. Furthermore, the increasing utilization of AI in the healthcare, finance, and automotive sectors is propelling the market growth. Apart from this, the growing demand for high-performance neuromorphic chips in several applications is offering a positive market outlook.

Growing focus on energy-efficiency

The increasing focus on energy-efficiency is supporting the growth of the market. In line with this, neuromorphic chips inspired by the energy-efficient operation of the human brain are designed to perform complex computations with minimal power consumption. This is valuable for devices operating on batteries or in remote locations, such as the Internet of Things (IoT) devices and drones. Moreover, the growing need for energy-efficient processing solutions on account of the rising number of interconnected devices is positively influencing the market. Apart from this, neuromorphic chips can perform tasks with reduced power requirements that assist in maintaining sustainability in the environment while reducing carbon footprint. In addition, neuromorphic chips benefit in the development of sustainable and long-lasting smart devices, which is bolstering the market growth.

Increasing demand for faster processing speed

Traditional computing architectures are limited by sequential processing, whereas neuromorphic chips process information at a fast speed and mimic the distributed computing of the brain. In line with this, these chips allow for lightning-fast data processing and decision-making, which is contributing to the growth of the market. Furthermore, the rising demand for neuromorphic chips in applications, such as autonomous vehicles, robotics, and defense systems, to provide real-time responses, is supporting the market growth. Apart from this, these chips can handle complex tasks, which makes them suitable for various applications.

Neuromorphic computing research

Ongoing research and development (R&D) activities in the field of neuromorphic computing are propelling the growth of the market. Apart from this, key players are enhancing chip design, improving neural network models, and exploring new applications. The synergy between neuroscience, computer science, and semiconductor technology is resulting in more efficient and capable neuromorphic chips. Furthermore, researchers are working on developing hardware and software that can mimic the functions of the brain and enable tasks like pattern recognition, learning, and decision-making. In addition, they are focusing on creating efficient computing solutions with applications in AI, robotics, and healthcare.

Neuromorphic Chip Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the global, regional, and country levels for 2024-2032. Our report has categorized the market based on offering, application, and end use industry.

Breakup by Offering:

Hardware

Software

Software accounts for the majority of the market share

The report has provided a detailed breakup and analysis of the market based on the offering. This includes hardware and software. According to the report, software represented the largest segment.

Software includes specialized programming tools, libraries, and frameworks designed to work seamlessly with the hardware. Software solutions facilitate the development, programming, and optimization of applications that leverage neuromorphic chips. They often provide neural network modeling and simulation capabilities to help developers harness the full potential of the hardware. In addition, middleware software acts as an intermediary between the hardware and higher-level applications. It provides essential functionalities, such as data management, communication, and interface integration, making it easier for developers to integrate neuromorphic chips into various systems and applications.

Hardware includes the physical hardware components, such as the neuromorphic chips themselves. These chips are designed to mimic the behavior of the neural networks of the human brain, enabling energy-efficient processing. Hardware offerings can vary in terms of chip designs, sizes, and processing capabilities, catering to different applications and performance requirements. It also encompasses development kits and platforms that enable developers and researchers to work with neuromorphic chips. These kits typically include the necessary hardware components, software tools, and documentation for building and testing applications using neuromorphic technology.

Breakup by Application:

Image Recognition

Signal Recognition

Data Mining

Image recognition holds the largest market share

A detailed breakup and analysis of the market based on the application have also been provided in the report. This includes image recognition, signal recognition, and data mining. According to the report, image recognition accounted for the largest market share.

Neuromorphic chips are widely used in image recognition tasks, including image classification. They provide enhanced processing and analyzing images in real-time, making them ideal for applications, such as object recognition, facial recognition, and scene classification. In surveillance systems, neuromorphic chips play a crucial role in detecting and identifying objects or individuals in security footage. Their ability to process video streams efficiently and recognize patterns is highly valuable in security applications. Moreover, image recognition is vital for autonomous vehicles to perceive their surroundings. Neuromorphic chips enable real-time analysis of camera feeds, helping vehicles make split-second decisions, detect obstacles, and navigate safely.

In signal recognition, these chips can process audio signals for applications, such as speech recognition and audio classification. They can analyze complex audio data in real-time, which is essential for voice assistants and communication devices. Besides this, signal recognition in radar and sonar systems involves identifying and tracking objects in the environment. Neuromorphic chips enable rapid signal analysis, helping in applications like military surveillance and marine navigation.

In data mining, these chips assist in identifying patterns and trends within large datasets. It involves predictive modeling to forecast future trends or outcomes. Neuromorphic chips can analyze historical data and make predictions based on learned patterns, aiding companies in decision-making. In the financial industry, data mining with neuromorphic chips is used for risk assessment, fraud detection, and algorithmic trading.

Breakup by End Use Industry:

Aerospace and Defense

IT and Telecom

Automotive

Medical

Industrial

Consumer Electronics

Others

The report has provided a detailed breakup and analysis of the market based on the end use industry. This includes aerospace and defense, IT and telecom, automotive, medical, industrial, consumer electronics, and others.

In the aerospace and defense industry, neuromorphic chips are used to enhance the autonomy of unmanned aerial vehicles (UAVs). They enable real-time image processing, sensor fusion, and decision-making, making UAVs more capable in surveillance, reconnaissance, and combat situations. In addition, neuromorphic chips play a pivotal role in radar and signal processing systems, aiding in the identification and tracking of objects, missiles, and threats.

IT and telecom neuromorphic chips contribute to network optimization by efficiently managing data traffic, identifying patterns in network behavior, and enhancing overall network performance. This results in improved data transmission and reduced latency. These chips are also used in data centers to optimize power consumption and improve the efficiency of data processing and storage.

In the automotive sector, neuromorphic chips are integrated into advanced driver assistance systems (ADAS) to enable features like lane departure warning, adaptive cruise control, and automated parking. They process sensor data in real-time, enhancing vehicle safety and automation. Neuromorphic chips are crucial for autonomous vehicles, where they process data from sensors like cameras and radar, enabling vehicles to make split-second decisions, detect obstacles, and navigate safely.

Neuromorphic chips assist in medical imaging applications, such as magnetic resonance imaging (MRI), computed tomography (CT) scans, and X-rays, by increasing image processing and analysis. They aid in early diagnosis and treatment planning. These chips play a significant role in brain-computer interfaces (BCIs), allowing patients with disabilities to control devices and interact with computers using their brain signals.

Moreover, neuromorphic chips are employed in industrial automation, where they optimize manufacturing processes by analyzing sensor data, monitoring equipment performance, and ensuring quality control. In industrial settings, these chips are used for predictive maintenance, identifying potential equipment failures before they occur, reducing downtime, and minimizing operational costs.

In consumer electronics, neuromorphic chips enhance the capabilities of smartphones and wearables by enabling artificial intelligence (AI)-driven features like voice recognition, image processing, and augmented reality (AR) applications. They are also integrated into smart home devices, improving the performance of voice assistants and enhancing security systems by enabling real-time image and sound analysis.

Breakup by Region:

North America

United States

Canada

Asia-Pacific

China

Japan

India

South Korea

Australia

Indonesia

Others

Europe

Germany

France

United Kingdom

Italy

Spain

Russia

Others

Latin America

Brazil

Mexico

Others

Middle East and Africa

North America leads the market, accounting for the largest neuromorphic chip market share

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share due to the rising usage of AI applications in various sectors. In addition, the increasing development of advanced neuromorphic chips is bolstering the growth of the market. Apart from this, favorable government policies for tech innovation are contributing to the market growth in the region.

Asia Pacific stands as another key region in the market, driven by the rising number of electronics manufacturing hubs, particularly in countries like China, South Korea, and Taiwan. In addition, the integration of neuromorphic chips into a wide range of electronics, including smartphones, smart home devices, and wearables is bolstering the market growth. Apart from this, the escalating demand for neuromorphic chips in edge computing and real-time AI processing is strengthening the market growth.

Europe maintains a strong presence in the market, with the increasing focus on advancing artificial intelligence (AI) and neuromorphic computing. In line with this, the thriving semiconductor industry, along with the rising focus on energy-efficient and sustainable technologies, is supporting the market growth. Furthermore, neuromorphic chips offer energy-efficient computing solutions that resonate with sustainability goals and environmental regulations in Europe. Moreover, the increasing employment of neuromorphic chips in advanced driver assistance systems (ADAS) and autonomous vehicles is impelling the market growth.

Latin America exhibits the growing potential in the neuromorphic chip market on account of the rising focus on advanced technologies. In line with this, favorable government initiatives are contributing to the market growth.

The Middle East and Africa region show a developing market for neuromorphic chips as countries like the United Arab Emirates (UAE) are investing in artificial intelligence (AI) and semiconductor technologies. In addition, governing agencies in the region are undertaking several initiatives to promote AI and technology innovation, which is bolstering the market growth.

Leading Key Players in the Neuromorphic Chip Industry:

The key players in the market are investing in research and development (R&D) activities to design and advance neuromorphic chips by improving chip architectures, enhancing energy efficiency, increasing processing power, and exploring new materials and fabrication techniques. Apart from this, many companies are offering customized neuromorphic chip solutions as per the specific industry needs, such as healthcare, automotive, and aerospace. Moreover, manufacturers are developing and optimizing software tools, libraries, and frameworks that facilitate the integration of neuromorphic chips into various applications. In line with this, various companies are conducting rigorous testing and quality assurance processes to meet industry standards and expectations of individuals.

The market research report has provided a comprehensive analysis of the competitive landscape. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

Applied Brain Research Inc.

BrainChip Holdings Ltd.

General Vision Inc.

GrAI Matter Labs

Hewlett Packard Enterprise Development LP

HRL Laboratories LLC

Intel Corporation

International Business Machines Corporation

Qualcomm Technologies Inc.

Samsung Electronics Co. Ltd.

SK hynix Inc.

(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)

Latest News:

February 2021: International Business Machines Corporation (IBM) launched an energy-efficient Al chip built with 7nm technology. The Al hardware accelerator chip supports a variety of model types while achieving leading-edge power efficiency. The low-power AI hardware accelerator is being targeted at applications ranging from cloud-based model training to shifting training closer to the edge deployments and data closer to edge network sources.

January 2022: BrainChip announced the commercialization of its Akida Neural Networking Processor, which is used for Internet of Things (IoT) and various edges. That is a neuromorphic AI chip, which can give ultra-low power and performance benefits over conventional approaches. It can support on-chip training and inference and various sensor inputs, such as vision, audio, olfactory, and smart transducer applications. BrainChip is targeting applications, including smart home, smart health, smart city, and smart transportation.

March 2020: Intel Corp. launched Pohoiki Springs, a powerful self-contained neuromorphic system that assists in scaling research related to neuromorphic. The system will be available to members of the Intel Neuromorphic Research Community via the cloud using Intel's Nx SDK and community-contributed software components, giving them a tool to scale up their neuromorphic research and explore ways to accelerate workloads that run slowly on conventional architectures.

Key Questions Answered in This Report

  • 1. What was the size of the global neuromorphic chip market in 2023?
  • 2. What is the expected growth rate of the global neuromorphic chip market during 2024-2032?
  • 3. What are the key factors driving the global neuromorphic chip market?
  • 4. What has been the impact of COVID-19 on the global neuromorphic chip market?
  • 5. What is the breakup of the global neuromorphic chip market based on the offering?
  • 6. What is the breakup of the global neuromorphic chip market based on the application?
  • 7. What are the key regions in the global neuromorphic chip market?
  • 8. Who are the key players/companies in the global neuromorphic chip market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Neuromorphic Chip Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Offering

  • 6.1 Hardware
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Software
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast

7 Market Breakup by Application

  • 7.1 Image Recognition
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Signal Recognition
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast
  • 7.3 Data Mining
    • 7.3.1 Market Trends
    • 7.3.2 Market Forecast

8 Market Breakup by End Use Industry

  • 8.1 Aerospace and Defense
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 IT and Telecom
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Automotive
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast
  • 8.4 Medical
    • 8.4.1 Market Trends
    • 8.4.2 Market Forecast
  • 8.5 Industrial
    • 8.5.1 Market Trends
    • 8.5.2 Market Forecast
  • 8.6 Consumer Electronics
    • 8.6.1 Market Trends
    • 8.6.2 Market Forecast
  • 8.7 Others
    • 8.7.1 Market Trends
    • 8.7.2 Market Forecast

9 Market Breakup by Region

  • 9.1 North America
    • 9.1.1 United States
      • 9.1.1.1 Market Trends
      • 9.1.1.2 Market Forecast
    • 9.1.2 Canada
      • 9.1.2.1 Market Trends
      • 9.1.2.2 Market Forecast
  • 9.2 Asia-Pacific
    • 9.2.1 China
      • 9.2.1.1 Market Trends
      • 9.2.1.2 Market Forecast
    • 9.2.2 Japan
      • 9.2.2.1 Market Trends
      • 9.2.2.2 Market Forecast
    • 9.2.3 India
      • 9.2.3.1 Market Trends
      • 9.2.3.2 Market Forecast
    • 9.2.4 South Korea
      • 9.2.4.1 Market Trends
      • 9.2.4.2 Market Forecast
    • 9.2.5 Australia
      • 9.2.5.1 Market Trends
      • 9.2.5.2 Market Forecast
    • 9.2.6 Indonesia
      • 9.2.6.1 Market Trends
      • 9.2.6.2 Market Forecast
    • 9.2.7 Others
      • 9.2.7.1 Market Trends
      • 9.2.7.2 Market Forecast
  • 9.3 Europe
    • 9.3.1 Germany
      • 9.3.1.1 Market Trends
      • 9.3.1.2 Market Forecast
    • 9.3.2 France
      • 9.3.2.1 Market Trends
      • 9.3.2.2 Market Forecast
    • 9.3.3 United Kingdom
      • 9.3.3.1 Market Trends
      • 9.3.3.2 Market Forecast
    • 9.3.4 Italy
      • 9.3.4.1 Market Trends
      • 9.3.4.2 Market Forecast
    • 9.3.5 Spain
      • 9.3.5.1 Market Trends
      • 9.3.5.2 Market Forecast
    • 9.3.6 Russia
      • 9.3.6.1 Market Trends
      • 9.3.6.2 Market Forecast
    • 9.3.7 Others
      • 9.3.7.1 Market Trends
      • 9.3.7.2 Market Forecast
  • 9.4 Latin America
    • 9.4.1 Brazil
      • 9.4.1.1 Market Trends
      • 9.4.1.2 Market Forecast
    • 9.4.2 Mexico
      • 9.4.2.1 Market Trends
      • 9.4.2.2 Market Forecast
    • 9.4.3 Others
      • 9.4.3.1 Market Trends
      • 9.4.3.2 Market Forecast
  • 9.5 Middle East and Africa
    • 9.5.1 Market Trends
    • 9.5.2 Market Breakup by Country
    • 9.5.3 Market Forecast

10 SWOT Analysis

  • 10.1 Overview
  • 10.2 Strengths
  • 10.3 Weaknesses
  • 10.4 Opportunities
  • 10.5 Threats

11 Value Chain Analysis

12 Porters Five Forces Analysis

  • 12.1 Overview
  • 12.2 Bargaining Power of Buyers
  • 12.3 Bargaining Power of Suppliers
  • 12.4 Degree of Competition
  • 12.5 Threat of New Entrants
  • 12.6 Threat of Substitutes

13 Price Analysis

14 Competitive Landscape

  • 14.1 Market Structure
  • 14.2 Key Players
  • 14.3 Profiles of Key Players
    • 14.3.1 Applied Brain Research Inc.
      • 14.3.1.1 Company Overview
      • 14.3.1.2 Product Portfolio
    • 14.3.2 BrainChip Holdings Ltd.
      • 14.3.2.1 Company Overview
      • 14.3.2.2 Product Portfolio
      • 14.3.2.3 Financials
    • 14.3.3 General Vision Inc.
      • 14.3.3.1 Company Overview
      • 14.3.3.2 Product Portfolio
    • 14.3.4 GrAI Matter Labs
      • 14.3.4.1 Company Overview
      • 14.3.4.2 Product Portfolio
    • 14.3.5 Hewlett Packard Enterprise Development LP
      • 14.3.5.1 Company Overview
      • 14.3.5.2 Product Portfolio
      • 14.3.5.3 Financials
      • 14.3.5.4 SWOT Analysis
    • 14.3.6 HRL Laboratories LLC
      • 14.3.6.1 Company Overview
      • 14.3.6.2 Product Portfolio
    • 14.3.7 Intel Corporation
      • 14.3.7.1 Company Overview
      • 14.3.7.2 Product Portfolio
      • 14.3.7.3 Financials
      • 14.3.7.4 SWOT Analysis
    • 14.3.8 International Business Machines Corporation
      • 14.3.8.1 Company Overview
      • 14.3.8.2 Product Portfolio
      • 14.3.8.3 Financials
      • 14.3.8.4 SWOT Analysis
    • 14.3.9 Qualcomm Technologies Inc.
      • 14.3.9.1 Company Overview
      • 14.3.9.2 Product Portfolio
      • 14.3.9.3 Financials
      • 14.3.9.4 SWOT Analysis
    • 14.3.10 Samsung Electronics Co. Ltd.
      • 14.3.10.1 Company Overview
      • 14.3.10.2 Product Portfolio
      • 14.3.10.3 Financials
      • 14.3.10.4 SWOT Analysis
    • 14.3.11 SK hynix Inc.
      • 14.3.11.1 Company Overview
      • 14.3.11.2 Product Portfolio
      • 14.3.11.3 Financials
      • 14.3.11.4 SWOT Analysis