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全球神经形态计算市场 - 2023-2030年
市场调查报告书
商品编码
1290374

全球神经形态计算市场 - 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个工作天内

价格

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简介目录

市场概况

全球神经形态计算市场在2022年达到4830万美元，预计到2030年将见证有利可图的增长，达到68.019亿美元。在预测期内（2023-2030年），全球神经形态计算市场预计将呈现91.5%的复合增长率。

性能的提高和应用数量的扩大是通过开发专门适用于神经形态计算的复杂算法和学习方法实现的。这些技术通过实现大规模尖峰神经网络的训练和推理，扩大了神经形态计算系统的能力。

由于尖峰神经网络等神经形态芯片设计的发展，用于神经形态计算的硬件现在更加有效和有力。这些架构能够并行处理数据，模拟大脑的认知能力，促进更快、更节能的计算。

市场动态

积极的主要参与者和技术进步正在推动全球神经形态计算市场的增长。

一些在该领域取得进展的重要公司正在积极参与全球神经形态计算市场。这些参与者支持神经形态计算技术的进步。例如，2023年4月，世界上顶级的超低功耗感官处理硬件和软件的商业供应商SynSense宣布完成了一轮战略筹资，筹集了数千万元人民币。

RunWoo和Maxvision在本轮融资中发挥了主导作用。这笔资金将用于加快SynSense的DYNAP-CNN2三维神经形态处理器的开发。由于这项技术的进步，SynSense将能够进一步将其高速视觉解决方案整合到自主系统中，如无人机、机器人和自动驾驶汽车。

产学合作推动了全球神经形态计算市场的增长。

产学合作是推动技术创新和进步的关键，也是创造推动现实世界影响的解决方案的关键。2022年4月，在最近成立的埃森哲高级计算中心，埃森哲和印度科学研究所（IISc）班加罗尔分校正在合作开展云计算连续体和神经形态计算的研究和开发。

根据该计划，埃森哲和IISc将开展联合研究项目，共同创造知识产权，并在可持续软件工程和其他能够在边缘实现人工智能的下一代计算技术方面建立思想领导。这些技术包括云、边缘、量子和神经形态计算。

技术进步为神经形态计算市场提供增长机会

下一代人工智能将扩展到与人类认知相似的能力，如自主适应和解释。这第三代人工智能是由英特尔实验室主导的计算机科学研究开发的。关键研究领域包括概率计算，它开发算法策略以应对自然界的不确定性、模糊性和矛盾性，以及神经形态计算，它专注于模拟人脑的神经结构和功能。

COVID-19影响分析

COVID-19大流行病对神经形态计算市场产生了重大影响。这场大流行使得边缘计算 - 在本地处理数据而不是依赖集中的云计算基础设施 - 变得更加关键。边缘计算的应用得益于神经形态计算的能源效率和实时处理能力。神经形态计算解决方案的机会可能已经被流行病期间对边缘计算需求的上升所打开。

俄乌冲突分析

俄乌战争对神经形态计算市场的影响是复杂和多方面的。冲突可能导致市场不稳定，特别是在东欧。该地区对神经形态计算等尖端技术的渴望可能会受到政治动荡、经济惩罚和紧张贸易关系的影响。这可能会阻碍市场的扩大和神经形态计算技术在受影响地区的使用。

目录

第一章：方法和范围

  • 研究方法
  • 报告的研究目标和范围

第二章：定义和概述

第三章：执行摘要

  • 按提供的服务进行摘录
  • 按部署情况分析
  • 按应用分析
  • 按终端用户分类
  • 按地区分类

第4章：动态变化

  • 影响因素
    • 驱动因素
      • 神经形态技术在深度学习应用中的使用越来越多
    • 限制因素
      • 缺少研发投资
    • 机会
      • 技术进步
    • 影响分析

第五章：行业分析

  • 波特的五力分析
  • 供应链分析
  • 未满足的需求
  • 监管分析

第六章：COVID-19分析

  • COVID-19分析
  • 对COVID-19的分析
    • COVID-19之前的情况
    • COVID-19期间的情况
    • COVID-19之后的情况
  • COVID-19期间的定价动态
  • 需求-供应谱系
  • 大流行期间与市场有关的政府倡议
  • 制造商的战略倡议
  • 结语

第7章 ：俄罗斯-乌克兰战争分析

第八章：人工智能分析

第九章：按产品分类

  • 硬件产品
  • 软件

第十章：按部署情况

  • 边缘计算
  • 云计算

第十一章：按应用分类

  • 图像识别
  • 信号识别
  • 资料探勘
  • 其他

第十二章：按终端用户分类

  • 消费电子
  • 汽车行业
  • IT和电信
  • 航空航天和国防
  • 医疗保健
  • 其他领域

第13章 ：按地区划分

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 意大利
    • 西班牙
    • 欧洲其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美其他地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳大利亚
    • 亚太其他地区
  • 中东和非洲

第十四章：竞争格局

  • 竞争格局
  • 产品标杆
  • 公司份额分析
  • 主要发展和战略

第十五章 ：公司简介

  • Brain Corporation
    • 公司概述
    • 产品组合和说明
    • 财务概况
    • 主要发展情况
  • 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 ：附录

简介目录
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