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全球神經形態計算市場 - 2023-2030年
市場調查報告書
商品編碼
1290374

全球神經形態計算市場 - 2023-2030年

Global Neuromorphic Computing Market - 2023-2030
出版日期: | 出版商: DataM Intelligence | 英文 195 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

市場概況

全球神經形態計算市場在2022年達到4830萬美元，預計到2030年將見證有利可圖的成長，達到68.019億美元。在預測期內（2023-2030年），全球神經形態計算市場預計將呈現91.5%的複合成長率。

性能的提高和應用數量的擴大是通過開發專門適用於神經形態計算的複雜算法和學習方法實現的。這些技術通過實現大規模尖峰神經網路的訓練和推理，擴大了神經形態計算系統的能力。

由於尖峰神經網路等神經形態晶片設計的發展，用於神經形態計算的硬體現在更加有效和有力。這些架構能夠並行處理數據，模擬大腦的認知能力，促進更快、更節能的計算。

市場動態

積極的主要參與者和技術進步正在推動全球神經形態計算市場的成長。

一些在該領域取得進展的重要公司正在積極參與全球神經形態計算市場。這些參與者支持神經形態計算技術的進步。例如，2023年4月，世界上頂級的超低功耗感官處理硬體和軟體的商業供應商SynSense宣布完成了一輪戰略籌資，籌集了數千萬元人民幣。

RunWoo和Maxvision在本輪融資中發揮了主導作用。這筆資金將用於加快SynSense的DYNAP-CNN23D神經形態處理器的開發。由於這項技術的進步，SynSense將能夠進一步將其高速視覺解決方案整合到自主系統中，如無人機、機器人和自動駕駛汽車。

產學合作推動了全球神經形態計算市場的成長。

產學合作是推動技術創新和進步的關鍵，也是創造推動現實世界影響的解決方案的關鍵。 2022年4月，在最近成立的埃森哲高級計算中心，埃森哲和印度科學研究所（IISc）班加羅爾分校正在合作開展雲端運算連續體和神經形態計算的研究和開發。

根據該計劃，埃森哲和IISc將開展聯合研究項目，共同創造知識產權，並在永續軟體工程和其他能夠在邊緣實現人工智慧的下一代計算技術方面建立思想領導。這些技術包括雲、邊緣、量子和神經形態計算。

技術進步為神經形態計算市場提供成長機會

下一代人工智慧將擴展到與人類認知相似的能力，如自主適應和解釋。這第三代人工智慧是由英特爾實驗室主導的電腦科學研究開發的。關鍵研究領域包括概率計算，它開發算法策略以應對自然界的不確定性、模糊性和矛盾性，以及神經形態計算，它專注於模擬人腦的神經結構和功能。

COVID-19影響分析

COVID-19大流行病對神經形態計算市場產生了重大影響。這場大流行使得邊緣計算- 在本地處理數據而不是依賴集中的雲端運算基礎設施- 變得更加關鍵。邊緣計算的應用得益於神經形態計算的能源效率和即時處理能力。神經形態計算解決方案的機會可能已經被流行病期間對邊緣計算需求的上升所打開。

俄烏衝突分析

俄烏戰爭對神經形態計算市場的影響是複雜和多方面的。衝突可能導致市場不穩定，特別是在東歐。該地區對神經形態計算等尖端技術的渴望可能會受到政治動盪、經濟懲罰和緊張貿易關係的影響。這可能會阻礙市場的擴大和神經形態計算技術在受影響地區的使用。

目錄

第一章：方法和範圍

  • 研究方法
  • 報告的研究目標和範圍

第二章：定義和概述

第三章：執行摘要

  • 按提供的服務進行摘錄
  • 按部署情況分析
  • 按應用分析
  • 按終端用戶分類
  • 按地區分類

第4章：動態變化

  • 影響因素
    • 驅動因素
      • 神經形態技術在深度學習應用中的使用越來越多
    • 限制因素
      • 缺少研發投資
    • 機會
      • 技術進步
    • 影響分析

第五章：行業分析

  • 波特的五力分析
  • 供應鏈分析
  • 未滿足的需求
  • 監管分析

第六章：COVID-19分析

  • COVID-19分析
  • 對COVID-19的分析
    • COVID-19之前的情況
    • COVID-19期間的情況
    • COVID-19之後的情況
  • COVID-19期間的定價動態
  • 需求-供應譜系
  • 大流行期間與市場有關的政府計劃
  • 製造商的戰略計劃
  • 結語

第7章：俄羅斯-烏克蘭戰爭分析

第八章：人工智慧分析

第九章：按產品分類

  • 硬體產品
  • 軟體

第十章：按部署情況

  • 邊緣計算
  • 雲端運算

第十一章：按應用分類

  • 圖像識別
  • 訊號識別
  • 資料探勘
  • 其他

第十二章：按終端用戶分類

  • 消費電子
  • 汽車行業
  • IT和電信
  • 航空航太和國防
  • 醫療保健
  • 其他領域

第13章：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 歐洲其他地區
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美其他地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 澳大利亞
    • 亞太其他地區
  • 中東和非洲

第十四章：競爭格局

  • 競爭格局
  • 產品標杆
  • 公司佔有率分析
  • 主要發展和戰略

第十五章：公司簡介

  • Brain Corporation
    • 公司概述
    • 產品組合和說明
    • 財務概況
    • 主要發展情況
  • CEA-Leti
  • General Vision, inc
  • Hewlett Packard Company
  • HRL Laboratories, LLC
  • International Business Machines Corporation
  • Intel Corporation
  • Knowm Inc
  • Qualcomm Technologies, Inc
  • Samsung Electronics Co., Ltd

第16章：附錄

簡介目錄
Product Code: ICT6442

Market Overview

The Global Neuromorphic Computing Market reached US$ 48.3 million in 2022 and is projected to witness lucrative growth by reaching up to US$ 6,801.9 million by 2030. The global neuromorphic computing market is expected to exhibit a CAGR of 91.5% during the forecast period (2023-2030).

The improvement of performance and expansion of the number of applications has been made possible by the development of sophisticated algorithms and learning approaches specifically suited for neuromorphic computing. These techniques expand the capabilities of neuromorphic computing systems by enabling the training and inference of large-scale spiking neural networks.

Hardware for neuromorphic computing is now more effective and potent because of developments in neuromorphic chip designs like spiking neural networks. These architectures are able to process data in parallel, simulating the cognitive powers of the brain and facilitating quicker and more energy-efficient calculations.

Market Dynamics

Active Major Players And Technological Advances Are Boosting The Global Neuromorphic Computing Market Growth.

Several significant companies that are advancing in the area are actively participating in the global market for neuromorphic computing. These participants support the advancement of neuromorphic computing technologies. For instance, in April 2023, SynSense, the top commercial provider in the world of hardware and software for ultra-low-power sensory processing, announced the completion of a strategic fundraising round that raised tens of millions of RMB.

RunWoo and Maxvision took the lead in the round. The money will be used to hasten the development of SynSense's DYNAP-CNN2 3D neuromorphic processor. SynSense will be able to further integrate its high-speed vision solutions into autonomous systems, such as drones, robotics, and self-driving cars, due to this technological advancement.

Industry-academia Partnerships Are Boosting The Global Neuromorphic Computing Market Growth.

Industry-academia partnerships are key to driving innovation and advancements in technology, and for creating solutions that drive real-world impact. In April 2022, at a recently established Accenture Centre for Advanced Computing, Accenture and the Indian Institute of Science (IISc) Bengaluru are working together to conduct research and development in cloud continuum and neuromorphic computing.

In accordance with the program, Accenture and IISc will conduct joint research projects, co-create intellectual properties, and establish thought leadership in sustainable software engineering and other next-generation computing technologies that enable AI at the edge. These technologies include cloud, edge, quantum, and neuromorphic computing.

Technological Advancement Provides Growth Opportunities for Neuromorphic Computing Market

The next generation will expand AI into capabilities that are similar to human cognition, like autonomous adaptation and interpretation. This third generation of AI is being developed by computer science research that is led by Intel Labs. Key research areas include probabilistic computing, which develops algorithmic strategies to cope with the uncertainty, ambiguity, and contradiction in the natural world, as well as neuromorphic computing, which is focused on simulating the neural structure and function of the human brain.

COVID-19 Impact Analysis

The COVID-19 pandemic has had a significant impact on the neuromorphic computing market. The pandemic made edge computing-which processes data locally rather than relying on centralized cloud infrastructure-more crucial. Applications for edge computing benefit from the energy efficiency and real-time processing capabilities of neuromorphic computing. Opportunities for neuromorphic computing solutions may have been opened up by the rise in demand for edge computing during the epidemic.

Russia-Ukraine Conflict Analysis

The impact of the Russia-Ukraine war on the neuromorphic computing market is complex and multifaceted. Market instability could result from the conflict, especially in Eastern Europe. The region's desire for cutting-edge technologies, such as neuromorphic computing, may be impacted by political unrest, economic penalties, and strained trade relations. This can prevent the market from expanding and the use of neuromorphic computing technologies in the impacted regions.

Segment Analysis

The global neuromorphic computing market is segmented based on offering, deployment, application, end-user, and region.

The Hardware Segment Is Expected To Hold A Dominant Position In The Market Over The Forecast Period.

The hardware segment accounted for the highest market stake accounting for approximately 67.8% of the neuromorphic computing market in 2022. For instance, in January 2022, the commercialization of BrainChip's Akida neural networking processor was revealed. BrainChip claims to be the first commercial manufacturer of neuromorphic AI chips, which could offer advantages in terms of ultra-low power and performance over traditional methods. These chips are aimed toward a variety of edge and Internet of Things (IoT) applications.

Geographical Analysis

Increasing Collaborations And Partnerships Among The Key Players, And Advancement In Neuromorphic Computing Dominate The North American Region.

North America is expected to dominate the neuromorphic computing market, accounting for around 41.3% of this market. Advancements in hardware and materials, demand for AI and machine learning, processing efficiency, and real-time responsiveness are some of the reasons driving the industry. In order to maximize the learning and computational efficiency of the next generation of artificial intelligence, researchers at IBM Research Europe - Zurich are investigating the neuromorphic computing paradigm.

Competitive Landscape

The major global players in the market include: Brain Corporation, CEA-Leti, General Vision, inc, Hewlett Packard Company, HRL Laboratories, LLC, International Business Machines Corporation, Intel Corporation, Knowm Inc, Qualcomm Technologies, Inc, and Samsung Electronics Co., Ltd among others.

Why Purchase the Report?

  • To visualize the global neuromorphic computing market segmentation based on the product, material, distribution channel, end-user, and region, as well as understand key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous data points of neuromorphic computing market-level with all segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Product mapping available as Excel consisting of key products of all the major players.

The global non-invasive blood pressure monitors market report would provide approximately 69 tables, 70 figures, and 195 pages.

Target Audience 2023

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Offering
  • 3.2. Snippet by Deployment
  • 3.3. Snippet by Application
  • 3.4. Snippet by End User
  • 3.5. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. The increasing use of neuromorphic technology in deep learning applications
    • 4.1.2. Restraints
      • 4.1.2.1. Lack of R&D investment
    • 4.1.3. Opportunity
      • 4.1.3.1. Technological advances
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's 5 Forces Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Unmet Needs
  • 5.4. Regulatory Analysis

6. COVID-19 Analysis

  • 6.1. COVID-19 Analysis
  • 6.2. Analysis of COVID-19
    • 6.2.1. Scenario Before COVID-19
    • 6.2.2. Scenario During COVID-19
    • 6.2.3. Scenario Post COVID-19
  • 6.3. Pricing Dynamics Amid COVID-19
  • 6.4. Demand-Supply Spectrum
  • 6.5. Government Initiatives Related to the Market During the Pandemic
  • 6.6. Manufacturers' Strategic Initiatives
  • 6.7. Conclusion

7. Russia-Ukraine War Analysis

8. Artificial Intelligence Analysis

9. By Offering

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 9.1.2. Market Attractiveness Index, By Offering
  • 9.2. Hardware*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Software

10. By Deployment

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 10.1.2. Market Attractiveness Index, By Deployment
  • 10.2. Edge Computing*
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Cloud Computing

11. By Application

    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.1.2. Market Attractiveness Index, By Application
  • 11.2. Image Recognition*
    • 11.2.1. Introduction
    • 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 11.3. Signal Recognition
  • 11.4. Data Mining
  • 11.5. Others

12. By End-user

  • 12.1. Introduction
    • 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-user
    • 12.1.2. Market Attractiveness Index, By End-user
  • 12.2. Consumer Electronics*
    • 12.2.1. Introduction
    • 12.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 12.3. Automotive
  • 12.4. IT & Telecom
  • 12.5. Aerospace & Defense
  • 12.6. Healthcare
  • 12.7. Others

13. By Region

  • 13.1. Introduction
    • 13.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 13.1.2. Market Attractiveness Index, By Region
  • 13.2. North America
    • 13.2.1. Introduction
    • 13.2.2. Key Region-Specific Dynamics
    • 13.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 13.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 13.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 13.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-user
    • 13.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 13.2.7.1. The U.S.
      • 13.2.7.2. Canada
      • 13.2.7.3. Mexico
  • 13.3. Europe
    • 13.3.1. Introduction
    • 13.3.2. Key Region-Specific Dynamics
    • 13.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 13.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 13.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 13.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-user
    • 13.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 13.3.7.1. Germany
      • 13.3.7.2. The U.K.
      • 13.3.7.3. France
      • 13.3.7.4. Italy
      • 13.3.7.5. Spain
      • 13.3.7.6. Rest of Europe
  • 13.4. South America
    • 13.4.1. Introduction
    • 13.4.2. Key Region-Specific Dynamics
    • 13.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 13.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 13.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 13.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-user
    • 13.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 13.4.7.1. Brazil
      • 13.4.7.2. Argentina
      • 13.4.7.3. Rest of South America
  • 13.5. Asia-Pacific
    • 13.5.1. Introduction
    • 13.5.2. Key Region-Specific Dynamics
    • 13.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 13.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 13.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 13.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-user
    • 13.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 13.5.7.1. China
      • 13.5.7.2. India
      • 13.5.7.3. Japan
      • 13.5.7.4. Australia
      • 13.5.7.5. Rest of Asia-Pacific
  • 13.6. Middle East and Africa
    • 13.6.1. Introduction
    • 13.6.2. Key Region-Specific Dynamics
    • 13.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 13.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 13.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 13.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-user

14. Competitive Landscape

  • 14.1. Competitive Scenario
  • 14.2. Product Benchmarking
  • 14.3. Company Share Analysis
  • 14.4. Key Developments and Strategies

15. Company Profiles

  • 15.1. Brain Corporation*
    • 15.1.1. Company Overview
    • 15.1.2. Product Portfolio and Description
    • 15.1.3. Financial Overview
    • 15.1.4. Key Developments
  • 15.2. CEA-Leti
  • 15.3. General Vision, inc
  • 15.4. Hewlett Packard Company
  • 15.5. HRL Laboratories, LLC
  • 15.6. International Business Machines Corporation
  • 15.7. Intel Corporation
  • 15.8. Knowm Inc
  • 15.9. Qualcomm Technologies, Inc
  • 15.10. Samsung Electronics Co., Ltd

LIST NOT EXHAUSTIVE

16. Appendix

  • 16.1. About Us and Services
  • 16.2. Contact Us