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神经形态计算市场 - 2018-2028 年全球产业规模、份额、趋势、机会和预测，按产品、部署、技术、最终用户、地区和竞争细分

Neuromorphic Computing Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028F Segmented By Offering, By Deployment, By Technology, By End-User, By Region and Competition
出版日期: | 出版商: TechSci Research | 英文 172 Pages | 商品交期: 2-3个工作天内

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简介目录

预计全球神经形态计算市场将在整个预测期内迅速扩张。对人工智慧和机器学习的需求的增长将提高仪器的有效性和性能，因为这两者的结合预计将通过提供必要的洞察力来做出明智的结论，从而彻底改变商业领域。这些设备的需求量不断增加，因为它们比传统设备具有多种优势，例如影像辨识、诈欺侦测、语音辨识等。人工智慧技术在国防、医疗、电信、公用事业、娱乐、电信、食品和饮料等各种产业中都有应用。

神经计算是基于人脑和神经系统中的系统的计算机的进步。利用人脑的巨大潜力和力量，神经影像计算可以像人脑一样有效地发挥作用，而不会在软体部署方面存在重大差距。人工神经网路 (ANN) 模型的发展是一项技术进步，在神经运算领域引发了技术重要性。

汽车企业受到疫情的不利影响。神经运算设备的发展始于建立依赖数千万个神经元的合成神经网路。这些神经元就像人脑内部的神经元。神经计算机因其快速反应机器而令人惊奇，因为它们的处理速度可能非常快。与传统电脑相比，神经电脑的设计就像人类思维一样，因此它们的快速反应小工具在工业界具有巨大的领先地位。神经形态生成可以与人工智慧和设备研究相结合应用于防御系统，以提高计算强度并提供分析结果，从而加快战时的选择速度。此外，神经形态发电尤其具有更强的绿色能力，并且可能会提高步兵可以在该区域内建立的发电的机动性、持久力和便携性。例如，英特尔考虑将神经拟态技术应用于无人机摄像头，并安装了 Loihi 晶片，该晶片可以从摄影机获取有机讯号，并像生物思维一样处理它们，从而大大加快无人机的感知速度。

市场概况
预测期 2024-2028
2022 年市场规模 43亿美元
2028 年市场规模 140.2亿美元
2023-2028 年复合年增长率 21.98%
成长最快的细分市场 卫生保健
最大的市场 北美洲

预计到 2023 年，影像处理领域将占据主导地位，收入份额将超过 50%。这可以从电脑视觉在汽车、医疗保健、媒体和娱乐等各行业的日益普及中得到体现。例如，医学影像是影像处理最重要的应用之一。影像感测器和其他处理技术的进步预计将在预测期内推动影像处理领域的收入成长。到 2022 年，讯号处理应用领域将占整体市场份额的很高比例，预计在预测期内将显着成长。管理音讯和声学讯号的需求不断增长，极大地促进了讯号处理领域的成长。随着人工智慧和机器学习在 IT 企业中的快速实施，资料处理领域预计将在预测期内扩展。自动化机器学习是企业中最显着的人工智慧趋势之一。

人工智慧 (AI) 和自动化系统的接受度不断提高

大脑本质上是神经形态计算的管理者。它利用人工神经元和连结来处理讯息，这使得它比传统计算更加节能和可扩展。

人工智慧和自动化系统在医疗保健、製造和运输等行业中正在逐步改进。这些系统涉及强大的计算系统，可以即时处理大量资料。神经形态计算非常适合这些应用，因为它可以提供这些系统所需的功率和效率。该技术被各行业广泛接受，主要是快速消费品、零售和製造。人工智慧和自动化系统的接受度不断提高预计将推动神经形态运算市场。工业、医疗、IT与电信、航空航太、军事与国防、汽车、消费性电子等各产业对人工智慧和自动化系统的接受度不断提高，将在预测期内推动神经形态运算市场的需求，2024 - 2028年。神经形态计算具有快速并行处理和最低功耗等优势。它还消除了冯诺依曼架构中元件之间来回资料移动的需要，这有望推动其在影像和讯号处理应用中的采用。此外，预计消费性电子、汽车、医疗保健以及军事和国防领域的采用也将极大地推动市场成长。对人工智慧和获取技术知识的系统的需求不断增长，改善了软体程式在神经形态计算中的使用。在老化和生育率下降的背景下，人工智慧和自动化技术将改善全球经济体系并促进国际繁荣。在老化和出生率下降正在推动经济成长之际，人工智慧和自动化技术的提升可以提振全球经济并加强全球繁荣。当代神经拟态研究的进展部分归功于人工智慧、机器学习、神经网路和深度神经网路架构在消费者和企业技术中的广泛且不断增加的使用。神经形态技术通常受益于深度加速器、下一代半导体、电晶体和自主系统，例如机器人、无人机、自动驾驶汽车和人工智慧。用于基于大脑的机器人和感知机器人系统的神经形态晶片的实施考虑了多种技术，神经形态计算对安全性确定的吸引力以及研究的发展，将为市场成员在预测期内提供多种前景。

自动驾驶汽车的日益普及

神经形态计算可以支援自动驾驶车辆更好地侦测和避开障碍物，以及识别物体并对不断变化的条件做出反应。神经形态计算帮助自动驾驶车辆更熟练地处理视觉讯息。传统的运算架构需要大量的时间和电力来处理视觉资料，但神经形态运算在即时处理视觉资料时只需要很少的功耗。神经形态计算更擅长识别道路上的物体以及从环境中识别它们。出现这种情况是因为神经形态计算完全发挥了人脑的功能，并且具有辨识物体和模式的专业知识。

在自动驾驶汽车中，神经形态透过同时处理来自多个感测器的资料来帮助侦测和避开障碍物。例如，神经形态运算可以结合来自摄影机、光达、雷达和其他感测器的资料，产生更精确、更全面的车辆周围环境影像。

最后，自动驾驶汽车的日益普及预计将推动全球神经拟态运算市场的发展。神经形态技术主要用于自主系统，例如无人机和人工智慧。汽车等各行业越来越多地采用自动化系统和人工智慧，这将增加对神经形态运算市场的需求。出于安全目的和研究开发而接受神经拟态计算将为全球神经拟态计算市场提供大量机会，预计未来几年将大幅增长。

市场区隔

依产品提供，市场分为硬体和软体。根据部署，市场分为边缘运算和部署运算。根据技术，市场分为 MMES 和非 MEMS。根据最终用户，市场分为汽车、医疗保健、消费性电子、军事和国防以及工业。市场分析也研究区域细分，以设计区域市场细分，分为北美、欧洲、亚太地区、南美以及中东和非洲。

公司简介

IBM 公司、英特尔公司、三星电子有限公司、Brain Corporation、General Vision Inc、HRL Laboratories LLC、Vicarious (Alphabet Inc.)、CEA-Leti、Knowm Inc、BrainChip Holdings Ltd 等都是推动这项发展的主要参与者。全球神经形态计算市场的成长。

报告范围：

在本报告中，除了以下详细介绍的产业趋势外，全球神经拟态计算市场也分为以下几类：

神经形态计算市场，透过提供：

  • 硬体
  • 软体

神经形态运算市场，依部署划分：

  • 边缘运算
  • 部署计算

神经形态计算市场（依技术）：

  • 微机电系统
  • 非MEMS

神经形态计算市场，依最终用户划分：

  • 汽车
  • 卫生保健
  • 消费性电子产品
  • 军事与国防
  • 工业的

神经形态计算市场（按地区）：

  • 亚太
  • 中国
  • 日本
  • 印度
  • 澳洲
  • 韩国
  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 欧洲
  • 英国
  • 德国
  • 法国
  • 西班牙
  • 义大利
  • 中东和非洲
  • 以色列
  • 土耳其
  • 沙乌地阿拉伯
  • 阿联酋
  • 南美洲
  • 巴西
  • 阿根廷
  • 哥伦比亚

竞争格局

  • 公司简介：全球神经拟态计算市场主要公司的详细分析。

可用的客製化：

  • 根据给定的市场资料，TechSci Research 可根据公司的具体需求提供客製化服务。该报告可以使用以下自订选项：

公司资讯

  • 其他市场参与者（最多五个）的详细分析和概况分析。

目录

第 1 章：服务概述

  • 市场定义
  • 市场范围
    • 涵盖的市场
    • 考虑学习的年份
    • 主要市场区隔

第 2 章：研究方法

  • 研究目的
  • 基线方法
  • 主要产业伙伴
  • 主要协会和二手资料来源
  • 预测方法
  • 数据三角测量与验证
  • 假设和限制

第 3 章：执行摘要

第 4 章：客户之声

第 5 章：全球神经拟态计算市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 依产品提供（硬体、软体）
    • 依部署（边缘运算、部署运算）
    • 按技术（MMES、非 MEMS）
    • 按最终用户（汽车、医疗保健、消费性电子产品和工业）
    • 按地区
  • 按公司划分 (2022)
  • 市场地图

第 6 章：北美神经形态计算市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 透过提供
    • 按部署
    • 依技术
    • 按最终用户
    • 按国家/地区
  • 北美：国家分析
    • 美国
    • 加拿大
    • 墨西哥

第 7 章：亚太地区神经拟态计算市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 透过提供
    • 按部署
    • 依技术
    • 按最终用户
    • 按国家/地区
  • 亚太地区：国家分析
    • 中国
    • 日本
    • 韩国
    • 印度
    • 澳洲

第 8 章：欧洲神经拟态计算市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 透过提供
    • 按部署
    • 依技术
    • 按最终用户
    • 按国家/地区
  • 欧洲：国家分析
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙

第 9 章：南美洲神经拟态计算市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 透过提供
    • 按部署
    • 依技术
    • 按最终用户
    • 按国家/地区
  • 南美洲：国家分析
    • 巴西
    • 阿根廷
    • 哥伦比亚

第 10 章：中东和非洲神经拟态计算市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 透过提供
    • 按部署
    • 依技术
    • 按最终用户
    • 按国家/地区
  • 中东和非洲：国家分析
    • 以色列
    • 土耳其
    • 阿联酋
    • 沙乌地阿拉伯

第 11 章：市场动态

  • 司机
  • 挑战

第 12 章：市场趋势与发展

第 13 章：公司简介

  • IBM公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 英特尔公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 三星电子有限公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 大脑公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 通用视觉公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • HRL 实验室有限责任公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 替代（Alphabet Inc.）
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • CEA-莱蒂
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 知明公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 脑晶片控股有限公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered

第 14 章：策略建议

第 15 章：关于我们与免责声明

（註：公司名单可依客户要求客製化。）

简介目录
Product Code: 7592

Global Neuromorphic Computing market is foreseen to expand at an instant stride throughout the forecast period. Rise in demand for artificial intelligence and machine learning will develop the effectiveness and performance of the instruments as the combination of these two is expected to revolutionize the business field by providing necessitating discernment to make smart conclusions. These devices are in elevated demand as they have several advantages over customary devices such as image recognition, fraud detection, speech recognition, among others. Artificial intelligence technology discovers application in various multifarious industries incorporating defense, medical, telecom, utility, entertainment, telecom, food & beverages, among others.

Neural computing is the advancement of computers based on systems found in the human brain and nervous system. Harnessing the vast potential and power of the human brain, neuroimaging computing can function as effectively as the human brain without major gaps in software deployment. One technological advance that has ignited technical importance in neural computing is the development of artificial neural network(ANN) models.

The automobile firms have been unfavorably impacted by the pandemic. The undertaking of neural computing gadgets opens with the establishment of a synthetic neural network, counting on lots of tens of tens of millions of neurons. These neurons are like neurons inside the human brain. Neural computers are amazing ordinary for their fast reaction machine because their processing may be very fast. Compared to conventional computers, neural computers are designed to artwork like the human mind and so their fast reaction gadget is a massive lead for industry. Neuromorphic generation can be applied in defense systems in combination with artificial intelligence and device studying to increase computing strength and deliver analytical outcomes to speed up selection-making in wartime. Further, neuromorphic generation is notably greater power green and might boom the mobility, staying energy, and portability of generation that infantrymen can set up inside the area. For example, Intel deliberated to apply neuromorphic technology to drone cameras with the resource of installing a Loihi chip that might obtain organic signs from the camera and process them like biological thoughts, extensively speeding up the drone's perception.

Market Overview
Forecast Period2024-2028
Market Size 2022USD 4.3 Billion
Market Size 2028USD 14.02 Billion
CAGR 2023-202821.98%
Fastest Growing SegmentHealthcare
Largest MarketNorth America

The image processing segment of the market is anticipated to dominate in 2023, with a revenue share of more than 50%. This can be recognized to the rising adoption of computer vision in a variety of industries, including automotive, healthcare, and media and entertainment. For example, medical imaging is one of the most crucial applications of image processing. Advancements in image sensors and other processing technologies are expected to drive revenue growth in the image processing segment during the forecast period. The signal-processing application segment depicted for high percentage of the overall market share in 2022 and is expected to increase remarkably over the forecast period. The rising demand for managing audio & acoustics signals is significantly contributing to the growth of the signal-processing segment. With the rapidly increasing implementation of Artificial Intelligence and Machine Learning in the IT enterprise, the data processing segment is projected to extend during the forecast period. Automated machine learning is one of the most distinguished AI trends among businesses.

Instead of standard bit-precise calculations, neuromorphic hardware consequences in probabilistic models that are simple, powerful, reliable, and data-efficient in terms of computation since the brain is highly stochastic in nature. Neuromorphic hardware is certainly better suitable for cognitive applications than preciseness computing.

Rising Acceptance of Artificial Intelligence (AI) and Automation Systems

The brain is essentially the supervisor of neuromorphic computing. It utilizes artificial neurons and links to process information, which allows it to be more energy-efficient and scalable than traditional computing.

AI and automation systems are progressively being improved in a form of industries, including healthcare, manufacturing, and transportation. These systems involve powerful computing systems that can process large amounts of data in real-time. Neuromorphic computing is well-suited for these applications, as it can provide the power and efficiency that these systems need. The technology is widely accepted in various industries mainly in FMCG, retail, and manufacturing. The rising acceptance of artificial intelligence and automation systems is projected to drive the Neuromorphic computing market. The increasing acceptance of AI and automation system in various industries such as industrial, medical, IT & telecommunication, aerospace, military & defense, automotive, consumer electronics, and other sectors, will boost the demand for the neuromorphic computing market during the forecast period, 2024 - 2028. Neuromorphic computing provides benefits such as fast parallel processing with minimum power requirement. It also removes the need for back-and-forth data movement between components in the von Neumann architecture, which is expected to drive its adoption for image and signal processing applications. Besides, it's expected adoption in consumer electronics, automotive, healthcare, and military & defense sectors will also be highly responsible for driving the market growth. The growing demand for artificial intelligence and systems gaining knowledge of technologies has improved the use of software programs in neuromorphic computing. Artificial intelligence and automation technologies will improve the worldwide economic system and increase international prosperity at a time when ageing and declining fertility are serving as increase efforts. AI and Automation technologies are elevated to lift the global economy and strengthen global prosperity, at a time when aging and deteriorating birth rates are acting as an effort on growth. Contemporary progress in neuromorphic research is accredited in part to the extensive and increasing use of AI, machine learning, neural networks, and deep neural network architectures in consumer and enterprise technology. Neuromorphic technology is commonly benefited in deep accelerators, next-generation semiconductors, transistors, and autonomous systems, such as robotics, drones, self-driving cars, and artificial intelligence. There are diverse technology that are taken into consideration for the implementation of neuromorphic chips for brain-primarily based robotics and sensible robotic systems and the attractiveness of neuromorphic computing for safety determinations together with studies development, will offer market members several prospects over the forecast period.

Growing Adoption of Autonomous Vehicles

Neuromorphic computing can support autonomous vehicles better detect and avoid obstacles, as well as recognize objects and respond to changing conditions. Neuromorphic computing helps autonomous vehicles in processing visual information more proficiently. Conventional computing architectures demand a lot of time and power to process visual data, but neuromorphic computing takes minimal power consumption in processing visual data in real-time. Neuromorphic computing is more proficient in recognizing objects on the roads and recognizing them from their environment. This occurs because of neuromorphic computing fully functioning as the human brain, which has expertise at recognizing objects and patterns.

In autonomous vehicles, Neuromorphic helps in detecting and avoiding obstacles by processing data from multiple sensors simultaneously. For example, neuromorphic computing can combine data from cameras, lidar, radar, and other sensors to produce a more precise and thorough picture of the vehicle's surroundings.

At last, the growing acceptance of autonomous vehicles is expected to drive the global neuromorphic computing market. Neuromorphic technology is basically used in autonomous systems, such as drones and AI. The increasing adoption of automation systems and AI in various industries such as automotive will increase the demand for the neuromorphic computing market. The acceptance of neuromorphic computing for security purposes and research development will provide numerous opportunities for the global neuromorphic computing market and is predicted to rise substantially in the coming years.

Market Segmentation

On the basis of Offering, the market is segmented into Hardware, Software. On the basis of Deployment, the market is segmented into Edge Computing and Deploy Computing. On the basis of Technology, the market is segmented into MMES and Non-MEMS. On the basis of End-User, the market is segmented into Automotive, Healthcare, Consumer Electronics, Military & Defense, and Industrial. The market analysis also studies the regional segmentation to devise regional market segmentation, divided among North America, Europe, Asia-Pacific, South America, and Middle East & Africa.

Company Profiles

IBM Corporation, Intel Corporation, Samsung Electronics Co. Ltd, Brain Corporation, General Vision Inc, HRL Laboratories LLC, Vicarious (Alphabet Inc.), CEA-Leti, Knowm Inc, BrainChip Holdings Ltd, are among the major players that are driving the growth of the global Neuromorphic computing market.

Report Scope:

In this report, the global Neuromorphic computing market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Neuromorphic computing Market, By Offering:

  • Hardware
  • Software

Neuromorphic computing Market, By Deployment:

  • Edge Computing
  • Deploy Computing

Neuromorphic computing Market, By Technology:

  • MMES
  • Non-MEMS

Neuromorphic computing Market, By End-User:

  • Automotive
  • Healthcare
  • Consumer Electronics
  • Military & Defense
  • Industrial

Neuromorphic computing Market, By Region:

  • Asia-Pacific
  • China
  • Japan
  • India
  • Australia
  • South Korea
  • North America
  • United States
  • Canada
  • Mexico
  • Europe
  • United Kingdom
  • Germany
  • France
  • Spain
  • Italy
  • Middle East & Africa
  • Israel
  • Turkey
  • Saudi Arabia
  • UAE
  • South America
  • Brazil
  • Argentina
  • Colombia

Competitive Landscape

  • Company Profiles: Detailed analysis of the major companies present in the global Neuromorphic computing market.

Available Customizations:

  • With the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Service Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

4. Voice of Customer

5. Global Neuromorphic computing Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Offering (Hardware, Software)
    • 5.2.2. By Deployment (Edge Computing, Deploy Computing)
    • 5.2.3. By Technology (MMES, Non-MEMS)
    • 5.2.4. By End-User (Automotive, Healthcare, Consumer Electronics, and Industrial)
    • 5.2.5. By Region
  • 5.3. By Company (2022)
  • 5.4. Market Map

6. North America Neuromorphic Computing Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Offering
    • 6.2.2. By Deployment
    • 6.2.3. By Technology
    • 6.2.4. By End-User
    • 6.2.5. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Neuromorphic Computing Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Offering
        • 6.3.1.2.2. By Deployment
        • 6.3.1.2.3. By Technology
        • 6.3.1.2.4. By End-User
    • 6.3.2. Canada Neuromorphic computing Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Offering
        • 6.3.2.2.2. By Deployment
        • 6.3.2.2.3. By Technology
        • 6.3.2.2.4. By End-User
    • 6.3.3. Mexico Neuromorphic computing Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Offering
        • 6.3.3.2.2. By Deployment
        • 6.3.3.2.3. By Technology
        • 6.3.3.2.4. By End-User

7. Asia-Pacific Neuromorphic computing Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Offering
    • 7.2.2. By Deployment
    • 7.2.3. By Technology
    • 7.2.4. By End-User
    • 7.2.5. By Country
  • 7.3. Asia-Pacific: Country Analysis
    • 7.3.1. China Neuromorphic computing Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Offering
        • 7.3.1.2.2. By Deployment
        • 7.3.1.2.3. By Technology
        • 7.3.1.2.4. By End-User
    • 7.3.2. Japan Neuromorphic computing Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Offering
        • 7.3.2.2.2. By Deployment
        • 7.3.2.2.3. By Technology
        • 7.3.2.2.4. By End-User
    • 7.3.3. South Korea Neuromorphic Computing Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Offering
        • 7.3.3.2.2. By Deployment
        • 7.3.3.2.3. By Technology
        • 7.3.3.2.4. By End-User
    • 7.3.4. India Neuromorphic computing Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Offering
        • 7.3.4.2.2. By Deployment
        • 7.3.4.2.3. By Technology
        • 7.3.4.2.4. By End-User
    • 7.3.5. Australia Neuromorphic computing Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Offering
        • 7.3.5.2.2. By Deployment
        • 7.3.5.2.3. By Technology
        • 7.3.5.2.4. By End-User

8. Europe Neuromorphic computing Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Offering
    • 8.2.2. By Deployment
    • 8.2.3. By Technology
    • 8.2.4. By End-User
    • 8.2.5. By Country
  • 8.3. Europe: Country Analysis
    • 8.3.1. Germany Neuromorphic computing Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Offering
        • 8.3.1.2.2. By Deployment
        • 8.3.1.2.3. By Technology
        • 8.3.1.2.4. By End-User
    • 8.3.2. United Kingdom Neuromorphic Computing Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Offering
        • 8.3.2.2.2. By Deployment
        • 8.3.2.2.3. By Technology
        • 8.3.2.2.4. By End-User
    • 8.3.3. France Neuromorphic computing Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Offering
        • 8.3.3.2.2. By Deployment
        • 8.3.3.2.3. By Technology
        • 8.3.3.2.4. By End-User
    • 8.3.4. Italy Neuromorphic computing Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Offering
        • 8.3.4.2.2. By Deployment
        • 8.3.4.2.3. By Technology
        • 8.3.4.2.4. By End-User
    • 8.3.5. Spain Neuromorphic computing Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Offering
        • 8.3.5.2.2. By Deployment
        • 8.3.5.2.3. By Technology
        • 8.3.5.2.4. By End-User

9. South America Neuromorphic Computing Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Offering
    • 9.2.2. By Deployment
    • 9.2.3. By Technology
    • 9.2.4. By End-User
    • 9.2.5. By Country
  • 9.3. South America: Country Analysis
    • 9.3.1. Brazil Neuromorphic computing Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Offering
        • 9.3.1.2.2. By Deployment
        • 9.3.1.2.3. By Technology
        • 9.3.1.2.4. By End-User
    • 9.3.2. Argentina Neuromorphic computing Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Offering
        • 9.3.2.2.2. By Deployment
        • 9.3.2.2.3. By Technology
        • 9.3.2.2.4. By End-User
    • 9.3.3. Colombia Neuromorphic computing Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Offering
        • 9.3.3.2.2. By Deployment
        • 9.3.3.2.3. By Technology
        • 9.3.3.2.4. By End-User

10. Middle East & Africa Neuromorphic computing Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Offering
    • 10.2.2. By Deployment
    • 10.2.3. By Technology
    • 10.2.4. By End-User
    • 10.2.5. By Country
  • 10.3. Middle East & Africa: Country Analysis
    • 10.3.1. Israel Neuromorphic computing Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Offering
        • 10.3.1.2.2. By Deployment
        • 10.3.1.2.3. By Technology
        • 10.3.1.2.4. By End-User
    • 10.3.2. Turkey Neuromorphic computing Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Offering
        • 10.3.2.2.2. By Deployment
        • 10.3.2.2.3. By Technology
        • 10.3.2.2.4. By End-User
    • 10.3.3. UAE Neuromorphic computing Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Offering
        • 10.3.3.2.2. By Deployment
        • 10.3.3.2.3. By Technology
        • 10.3.3.2.4. By End-User
    • 10.3.4. Saudi Arabia Neuromorphic Computing Market Outlook
      • 10.3.4.1. Market Size & Forecast
        • 10.3.4.1.1. By Value
      • 10.3.4.2. Market Share & Forecast
        • 10.3.4.2.1. By Offering
        • 10.3.4.2.2. By Deployment
        • 10.3.4.2.3. By Technology
        • 10.3.4.2.4. By End-User

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

13. Company Profiles

  • 13.1. IBM Corporation
    • 13.1.1. Business Overview
    • 13.1.2. Key Revenue (If Available)
    • 13.1.3. Recent Developments
    • 13.1.4. Key Personnel
    • 13.1.5. Key Product/Service Offered
  • 13.2. Intel Corporation
    • 13.2.1. Business Overview
    • 13.2.2. Key Revenue (If Available)
    • 13.2.3. Recent Developments
    • 13.2.4. Key Personnel
    • 13.2.5. Key Product/Service Offered
  • 13.3. Samsung Electronics Co. Ltd
    • 13.3.1. Business Overview
    • 13.3.2. Key Revenue (If Available)
    • 13.3.3. Recent Developments
    • 13.3.4. Key Personnel
    • 13.3.5. Key Product/Service Offered
  • 13.4. Brain Corporation
    • 13.4.1. Business Overview
    • 13.4.2. Key Revenue (If Available)
    • 13.4.3. Recent Developments
    • 13.4.4. Key Personnel
    • 13.4.5. Key Product/Service Offered
  • 13.5. General Vision Inc
    • 13.5.1. Business Overview
    • 13.5.2. Key Revenue (If Available)
    • 13.5.3. Recent Developments
    • 13.5.4. Key Personnel
    • 13.5.5. Key Product/Service Offered
  • 13.6. HRL Laboratories LLC
    • 13.6.1. Business Overview
    • 13.6.2. Key Revenue (If Available)
    • 13.6.3. Recent Developments
    • 13.6.4. Key Personnel
    • 13.6.5. Key Product/Service Offered
  • 13.7. Vicarious (Alphabet Inc.)
    • 13.7.1. Business Overview
    • 13.7.2. Key Revenue (If Available)
    • 13.7.3. Recent Developments
    • 13.7.4. Key Personnel
    • 13.7.5. Key Product/Service Offered
  • 13.8. CEA-Leti
    • 13.8.1. Business Overview
    • 13.8.2. Key Revenue (If Available)
    • 13.8.3. Recent Developments
    • 13.8.4. Key Personnel
    • 13.8.5. Key Product/Service Offered
  • 13.9. Knowm Inc
    • 13.9.1. Business Overview
    • 13.9.2. Key Revenue (If Available)
    • 13.9.3. Recent Developments
    • 13.9.4. Key Personnel
    • 13.9.5. Key Product/Service Offered
  • 13.10. BrainChip Holdings Ltd
    • 13.10.1. Business Overview
    • 13.10.2. Key Revenue (If Available)
    • 13.10.3. Recent Developments
    • 13.10.4. Key Personnel
    • 13.10.5. Key Product/Service Offered

14. Strategic Recommendations

15. About Us & Disclaimer

(Note: The companies list can be customized based on the client requirements.)