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1503346

2030 年神經擬態計算市場預測：按組件、部署、技術、應用、最終用戶和地區進行的全球分析

Neuromorphic Computing Market Forecasts to 2030 - Global Analysis By Component (Neuromorphic Chips, Software, Sensors, Memory, Interfaces and Other Components), Deployment, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據Stratistics MRC預測，2024年全球神經擬態計算市場規模將達63億美元，預計2030年將達到222億美元，預測期內複合年成長率為23.2%。

神經形態計算模擬大腦的神經結構，以有效地執行複雜的計算。與傳統處理器不同，它們使用人工神經元和突觸網路處理訊息，以受生物系統啟發的方式實現模式識別、決策和學習等任務。這種方法在速度、能源效率和適應性方面具有優勢，使其適合機器學習、機器人和感測處理等應用。

根據Cisco預測，到 2022 年，全球連網穿戴裝置數量將達到 11.1 億台。此外，2023 年 10 月，開發尖端神經擬態視覺系統的公司 Prophesee 發布了基於事件的 Metavision 感測器「GenX320」。

需要更強大、更有效率的 AI/ML 系統

神經形態運算的優點是模仿類腦神經網路，提高其處理複雜資料的能力，並以比傳統架構更高的能源效率執行即時運算。隨著各行業希望利用人工智慧和機器學習進行高階分析、模式識別和決策，對神經形態運算解決方案的需求不斷增加。

有限的軟體生態系統

神經形態計算的不同應用需要專用的軟體工具和框架來滿足其獨特的需求，從而導致碎片化和互通性問題。這種限制限制了綜合解決方案的開發，並減緩了神經形態系統跨產業的部署。此外，缺乏標準化的開發環境和支援服務使與現有基礎設施的整合變得複雜並抑制了擴充性。

對類腦運算解決方案的需求不斷成長

類腦運算解決方案受到大腦神經架構的啟發，在能源效率、平行性和認知效能方面具有優勢。隨著各行業尋求更強大的人工智慧和機器學習功能，他們擴大採用神經形態計算來執行需要即時資料處理、模式識別和決策的任務。隨著醫療保健、機器人和物聯網等領域需求的增加，對神經形態硬體和軟體的投資持續成長。

演算法和後端處理複雜度

開發和最佳化神經架構的神經網路演算法需要專門的知識和資源，從而導致更高的開發成本和更長的部署時間。此外，跨分散式系統的資料管理、同步和擴展等後端操作非常複雜且佔用資源。這種複雜性阻礙了與現有IT基礎設施的無縫整合，並限制了小型組織的存取。

COVID-19 的影響

COVID-19 的疫情對醫療業務市場產生了積極影響。包括 IBM、惠普和高通在內的多家市場領導已向世界各地的多家醫院和診所推出了神經擬態運算解決方案。他們技術的運算能力可以緩解典型醫院生態系統中的各種困難。這場大流行提振了資本設備產業，對下一代電子產品的強勁需求。

神經型態晶片領域預計將在預測期內成為最大的領域

神經型態晶片預計在預測期內成長最快，因為它們能夠快速、有效率地處理複雜資料，並增強神經型態演算法和應用程式的效能。產業將受益於人工智慧、機器學習和感測處理能力的不斷增強，從而推動醫療診斷、自主系統和物聯網等領域的採用。

神經形態視覺系統領域預計在預測期內複合年成長率最高

神經形態視覺系統領域預計將在預測期內實現最高的複合年成長率，因為它在數位環境中複製生物視覺處理，並能夠對視覺資料進行高度準確和高效的即時解釋。自動駕駛汽車、監控和擴增實境等行業正受益於改進的物件辨識、場景理解和情境察覺。神經形態視覺系統和神經形態運算平台的整合提高了整體系統性能和效率，推動了對專用硬體和軟體解決方案的需求。

比最大的地區

預計北美在預測期內將佔據最大的市場佔有率，因為美國和加拿大等北美市場的早期採用者處於神經形態計算系統應用的最前沿。該地區的主要趨勢之一是基於人工智慧的語音和語音辨識技術。透過整合，可以更輕鬆地微調語音辨識引擎，以提供更好的語音體驗。

複合年成長率最高的地區：

預計歐洲在預測期內將維持最高的複合年成長率，因為歐洲有多項舉措和組織致力於加速神經形態運算技術的開發和採用。此外，生物辨識技術在歐洲國家的使用正在增加，為神經形態計算影像處理應用開闢了全新的實施領域。總體而言，歐洲是神經形態運算領域的關鍵參與者，組織和研究人員有很多機會參與這項令人興奮且快速發展的技術。

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訂閱此報告的客戶可以存取以下免費自訂選項之一：

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    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章全球神經型態計算市場：依組成部分

  • 神經型態晶片
  • 軟體
  • 感應器
  • 記憶
  • 介面
  • 其他組件

第6章全球神經型態計算市場：依發展分類

  • 邊緣運算
  • 雲端運算

第7章全球神經型態計算市場：依技術分類

  • 憶阻器神經網路 (MNN)
  • 尖峰神經網路 (SNN)
  • 神經型態硬體

第8章全球神經型態計算市場：依應用分類

  • 機器人技術
  • 機器學習
  • 神經型態視覺系統
  • 腦機介面（BCI）
  • 自然語言處理
  • 感覺處理
  • 其他應用

第9章全球神經型態計算市場：依最終用戶分類

  • 醫療保健和生命科學
  • 資訊科技和通訊
  • 車
  • 家用電器
  • 國防/航太
  • 工業自動化
  • 其他最終用戶

第10章全球神經型態計算市場：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第11章 主要進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司概況

  • BrainChip Holdings Ltd
  • General Vision Inc.
  • GrAI Matter Labs
  • Gyrfalcon Technology Inc.
  • Hewlett Packard Company
  • HRL Laboratories, LLC
  • IBM Corporation
  • Intel Corporation
  • International Business Machines Corporation
  • Knowm Inc
  • Nepes Corporation
  • Qualcomm Technologies, Inc
  • Samsung Electronics Co. Ltd
  • SK Hynix Inc.
  • SynSense AG
  • Vicarious FPC Inc.
Product Code: SMRC26512

According to Stratistics MRC, the Global Neuromorphic Computing Market is accounted for $6.3 billion in 2024 and is expected to reach $22.2 billion by 2030 growing at a CAGR of 23.2% during the forecast period. Neuromorphic computing emulates the brain's neural structure to perform complex computations efficiently. Unlike traditional processors, it uses networks of artificial neurons and synapses to process information, enabling tasks such as pattern recognition, decision-making, and learning in a manner inspired by biological systems. This approach offers advantages in speed, energy efficiency, and adaptability, making it suitable for applications like machine learning, robotics, and sensory processing.

According to Cisco Systems, the number of connected wearable devices globally in 2022 reached 1,110 million. Also, in October 2023, Prophesee, a developer of cutting-edge neuromorphic vision systems, unveiled the GenX320 Event-based Metavision sensor.

Market Dynamics:

Driver:

Need for more powerful and efficient AI/ML systems

Neuromorphic computing offers advantages in mimicking brain-like neural networks, enhancing capabilities for processing complex data and performing real-time computations with greater energy efficiency than traditional architectures. As industries seek to leverage AI and machine learning for advanced analytics, pattern recognition, and decision-making, the demand for neuromorphic computing solutions is rising.

Restraint:

Limited software ecosystem

Various applications of neuromorphic computing require specialized software tools and frameworks tailored to their unique requirements, leading to fragmentation and interoperability issues. This limitation restricts the development of comprehensive solutions and slows down the deployment of neuromorphic systems across industries. Moreover, the scarcity of standardized development environments and support services complicates integration with existing infrastructure and hampers scalability.

Opportunity:

Growing demand for brain-inspired computing solutions

Brain-inspired computing solutions solutions, inspired by the brain's neural architecture, offer advantages in energy efficiency, parallel processing, and cognitive capabilities. Industries seeking more powerful AI and machine learning capabilities are increasingly adopting neuromorphic computing for tasks requiring real-time data processing, pattern recognition, and decision-making. As demand rises across sectors such as healthcare, robotics, and IoT, investments in neuromorphic hardware and software continue to grow.

Threat:

Complexity of algorithms and backend operations

Developing and optimizing neural network algorithms for neuromorphic architectures requires specialized expertise and resources, leading to higher development costs and longer deployment times. Additionally, backend operations such as data management, synchronization, and scaling across distributed systems can be intricate and resource-intensive. These complexities hinder seamless integration with existing IT infrastructures and limit accessibility to smaller organizations.

Covid-19 Impact

The COVID-19 pandemic had a favorable influence on the medical business market. Several market leaders, including IBM, Hewlett Packard, and Qualcomm, pushed their neuromorphic computing solutions into several hospitals and clinics worldwide. Their technologies' computational skills were able to reduce various difficulties inside a normal hospital ecosystem. The pandemic kept the capital equipment sector humming with a strong demand for next-generation electronics.

The neuromorphic chips segment is expected to be the largest during the forecast period

The neuromorphic chips is expected to be the largest during the forecast period as these chips enable faster, energy-efficient processing of complex data, enhancing the performance of neuromorphic algorithms and applications. Industries benefit from improved capabilities in AI, machine learning, and sensory processing, driving adoption in sectors like healthcare diagnostics, autonomous systems, and IoT.

The neuromorphic vision systems segment is expected to have the highest CAGR during the forecast period

The neuromorphic vision systems segment is expected to have the highest CAGR during the forecast period as these systems replicate biological visual processing in digital environments, enabling real-time interpretation of visual data with high accuracy and efficiency. Industries such as autonomous vehicles, surveillance, and augmented reality benefit from improved object recognition, scene understanding, and situational awareness. The integration of neuromorphic vision systems with neuromorphic computing platforms enhances overall system performance and efficiency, driving demand for specialized hardware and software solutions.

Region with largest share:

North America is projected to hold the largest market share during the forecast period as early adopters in the North American market, such as the U.S. and Canada, are the frontiers of neuromorphic computing system applications. One of the major trends in the region is AI based voice and speech recognition technology. The integration facilitated fine-tuning its speech recognition engines to provide a better voice experience.

Region with highest CAGR:

Europe is projected to hold the highest CAGR over the forecast period as there are several initiatives and organizations in Europe that are focused on advancing the development and adoption of neuromorphic computing technologies. In addition, the increasing use of biometry in the European countries is catering to a whole new implementation area to the image processing applications of neuromorphic computing. Overall, Europe is a key player in the field of neuromorphic computing, and there are many opportunities for organizations and researchers to get involved in this exciting and rapidly evolving technology.

Key players in the market

Some of the key players in Neuromorphic Computing market include BrainChip Holdings Ltd, General Vision Inc., GrAI Matter Labs, Gyrfalcon Technology Inc., Hewlett Packard Company, HRL Laboratories, LLC, IBM Corporation, Intel Corporation, International Business Machines Corporation, Knowm Inc, Nepes Corporation, Qualcomm Technologies, Inc, Samsung Electronics Co. Ltd, SK Hynix Inc., SynSense AG and Vicarious FPC Inc.

Key Developments:

In June 2024, BrainChip Introduces TENNs-PLEIADES in New White Paper. The white paper covers topics related to temporal network architectures, event-based benchmark experiments and possibilities that such an approach can achieve.

In June 2024, BrainChip and Frontgrade Gaisler Augment Space-Grade Microprocessors with AI Capabilities. This collaboration represents a significant milestone as it aims to introduce the first space-grade SoC worldwide with incorporated true artificial intelligence (AI) capabilities.

In November 2023, HP Partners with INDO-MIM to Advance Metal Additive Manufacturing. INDO-MIM has initially invested in three cutting-edge HP Metal Jet S100 printers as part of this collaboration, strengthening their commitment to advancing additive manufacturing globally.

Components Covered:

  • Neuromorphic Chips
  • Software
  • Sensors
  • Memory
  • Interfaces
  • Other Components

Deployments Covered:

  • Edge Computing
  • Cloud Computing

Technologies Covered:

  • Memristive Neural Networks (MNNs)
  • Spiking Neural Networks (SNNs)
  • Neuromorphic Hardware

Applications Covered:

  • Robotics
  • Machine Learning
  • Neuromorphic Vision Systems
  • Brain-Computer Interfaces (BCIs)
  • Natural Language Processing
  • Sensory Processing
  • Other Applications

End Users Covered:

  • Healthcare & Life Sciences
  • IT & Telecom
  • Automotive
  • Consumer Electronics
  • Defense & Aerospace
  • Industrial Automation
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Neuromorphic Computing Market, By Component

  • 5.1 Introduction
  • 5.2 Neuromorphic Chips
  • 5.3 Software
  • 5.4 Sensors
  • 5.5 Memory
  • 5.6 Interfaces
  • 5.7 Other Components

6 Global Neuromorphic Computing Market, By Deployment

  • 6.1 Introduction
  • 6.2 Edge Computing
  • 6.3 Cloud Computing

7 Global Neuromorphic Computing Market, By Technology

  • 7.1 Introduction
  • 7.2 Memristive Neural Networks (MNNs)
  • 7.3 Spiking Neural Networks (SNNs)
  • 7.4 Neuromorphic Hardware

8 Global Neuromorphic Computing Market, By Application

  • 8.1 Introduction
  • 8.2 Robotics
  • 8.3 Machine Learning
  • 8.4 Neuromorphic Vision Systems
  • 8.5 Brain-Computer Interfaces (BCIs)
  • 8.6 Natural Language Processing
  • 8.7 Sensory Processing
  • 8.8 Other Applications

9 Global Neuromorphic Computing Market, By End User

  • 9.1 Introduction
  • 9.2 Healthcare & Life Sciences
  • 9.3 IT & Telecom
  • 9.4 Automotive
  • 9.5 Consumer Electronics
  • 9.6 Defense & Aerospace
  • 9.7 Industrial Automation
  • 9.8 Other End Users

10 Global Neuromorphic Computing Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 BrainChip Holdings Ltd
  • 12.2 General Vision Inc.
  • 12.3 GrAI Matter Labs
  • 12.4 Gyrfalcon Technology Inc.
  • 12.5 Hewlett Packard Company
  • 12.6 HRL Laboratories, LLC
  • 12.7 IBM Corporation
  • 12.8 Intel Corporation
  • 12.9 International Business Machines Corporation
  • 12.10 Knowm Inc
  • 12.11 Nepes Corporation
  • 12.12 Qualcomm Technologies, Inc
  • 12.13 Samsung Electronics Co. Ltd
  • 12.14 SK Hynix Inc.
  • 12.15 SynSense AG
  • 12.16 Vicarious FPC Inc.

List of Tables

  • Table 1 Global Neuromorphic Computing Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Neuromorphic Computing Market Outlook, By Component (2022-2030) ($MN)
  • Table 3 Global Neuromorphic Computing Market Outlook, By Neuromorphic Chips (2022-2030) ($MN)
  • Table 4 Global Neuromorphic Computing Market Outlook, By Software (2022-2030) ($MN)
  • Table 5 Global Neuromorphic Computing Market Outlook, By Sensors (2022-2030) ($MN)
  • Table 6 Global Neuromorphic Computing Market Outlook, By Memory (2022-2030) ($MN)
  • Table 7 Global Neuromorphic Computing Market Outlook, By Interfaces (2022-2030) ($MN)
  • Table 8 Global Neuromorphic Computing Market Outlook, By Other Components (2022-2030) ($MN)
  • Table 9 Global Neuromorphic Computing Market Outlook, By Deployment (2022-2030) ($MN)
  • Table 10 Global Neuromorphic Computing Market Outlook, By Edge Computing (2022-2030) ($MN)
  • Table 11 Global Neuromorphic Computing Market Outlook, By Cloud Computing (2022-2030) ($MN)
  • Table 12 Global Neuromorphic Computing Market Outlook, By Technology (2022-2030) ($MN)
  • Table 13 Global Neuromorphic Computing Market Outlook, By Memristive Neural Networks (MNNs) (2022-2030) ($MN)
  • Table 14 Global Neuromorphic Computing Market Outlook, By Spiking Neural Networks (SNNs) (2022-2030) ($MN)
  • Table 15 Global Neuromorphic Computing Market Outlook, By Neuromorphic Hardware (2022-2030) ($MN)
  • Table 16 Global Neuromorphic Computing Market Outlook, By Application (2022-2030) ($MN)
  • Table 17 Global Neuromorphic Computing Market Outlook, By Robotics (2022-2030) ($MN)
  • Table 18 Global Neuromorphic Computing Market Outlook, By Machine Learning (2022-2030) ($MN)
  • Table 19 Global Neuromorphic Computing Market Outlook, By Neuromorphic Vision Systems (2022-2030) ($MN)
  • Table 20 Global Neuromorphic Computing Market Outlook, By Brain-Computer Interfaces (BCIs) (2022-2030) ($MN)
  • Table 21 Global Neuromorphic Computing Market Outlook, By Natural Language Processing (2022-2030) ($MN)
  • Table 22 Global Neuromorphic Computing Market Outlook, By Sensory Processing (2022-2030) ($MN)
  • Table 23 Global Neuromorphic Computing Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 24 Global Neuromorphic Computing Market Outlook, By End User (2022-2030) ($MN)
  • Table 25 Global Neuromorphic Computing Market Outlook, By Healthcare & Life Sciences (2022-2030) ($MN)
  • Table 26 Global Neuromorphic Computing Market Outlook, By IT & Telecom (2022-2030) ($MN)
  • Table 27 Global Neuromorphic Computing Market Outlook, By Automotive (2022-2030) ($MN)
  • Table 28 Global Neuromorphic Computing Market Outlook, By Consumer Electronics (2022-2030) ($MN)
  • Table 29 Global Neuromorphic Computing Market Outlook, By Defense & Aerospace (2022-2030) ($MN)
  • Table 30 Global Neuromorphic Computing Market Outlook, By Industrial Automation (2022-2030) ($MN)
  • Table 31 Global Neuromorphic Computing Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.