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市场调查报告书
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全球神经形态运算、人工智慧硬体、边缘分析市场规模（按部署、产品、应用、产业、地区、范围和预测）

Global Neuromorphic Computing, AI Hardware And Edge Analytic Market Size By Deployment, By Offering, By Application, By Vertical, By Geographic Scope And Forecast
出版日期: | 出版商: Verified Market Research | 英文 202 Pages | 商品交期: 2-3个工作天内

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简介目录

神经拟态运算、人工智慧硬体和边缘分析的市场规模和预测

2022年神经形态运算、人工智慧硬体和边缘分析市场规模为4,370万美元，2023年至2030年复合年增长率为23.80%，到2030年将达到2.4114亿美元。对高效能积体电路不断增长的需求极大地促进了全球神经形态运算产业的成长。透过在同一晶片上处理和储存数据，神经形态设备可以显着减少典型 CPU 行动数据所花费的时间。该研究报告对全球神经拟态运算、人工智慧硬体和边缘分析市场进行了全面评估。它对关键细分市场、趋势、市场推动因素、阻碍因素、竞争格局以及在市场中发挥主要作用的因素进行了全面分析。

定义全球神经拟态运算、人工智慧硬体和边缘分析市场

神经拟态运算是顺应人工智慧领域技术发展的最新进展，旨在将人工智慧扩展到模仿人类认知的领域，例如自主适应和解释等活动。这项技术进步显着提高了基于神经网路和演算法的人工智慧的输出，这些人工智慧缺乏问题陈述的人类背景，并且主要依赖特定数据集的历史趋势。因此，下一代人工智慧的目标是创建一个能够像人类一样应对异常情况的系统。旨在复製人脑神经架构的机率计算和神经形态计算可以协同工作，有效应对现代世界的不确定性和复杂性。

Spirking 神经网路（SNN）是神经网路的一种，也是神经形态运算的基础。一个模仿人脑神经元网络的雄心勃勃的人工神经网络，其中每个神经元独立于其他神经元发送信号并影响其他神经元的电状态。 SNN 的功能使其能够模仿人脑的适应性和敏捷性。透过不断调整 SNN 的计算组件之一——电讯号（类似于人脑中的神经元），SNN 会对讯号本身所包含的资讯及其时序进行编码，使人脑能够进行学习过程可以复製。

全球神经拟态运算、人工智慧硬体与边缘分析市场概览

对高效能积体电路不断增长的需求是全球神经形态运算产业成长的关键因素。透过在同一晶片上处理和储存数据，神经形态设备可以显着减少典型 CPU 行动数据所花费的时间。将处理和储存结合的能力显着减少了典型 CPU 在记忆体区块和处理这些记忆体的处理任务的处理器之间传输资料所需的时间。因此，对用于高效运算的更高效能 IC 的需求正在推动市场成长。

许多领域需要使用人工智慧和机器学习来实现流程自动化，以提高生产力和产品品质。许多公司正在医疗、媒体、通讯、汽车、食品饮料等领域广泛运用人工智慧。 SNN 可以考虑场景的背景，流畅、敏捷地做出决策，从而有效地解决这些行业经常面临的挑战。人工智慧和机器学习的结合可以提高诈欺侦测、信用评分、语音辨识、自动驾驶汽车、图像分类和语言翻译等应用的效率。

由于对具有认知和大脑功能的通用人形机器人的需求不断增加，市场正在扩大。从冯诺依曼架构转变为神经拟态晶片的转变是由神经拟态晶片固有的技术优势驱动的，例如更低的功耗、更高的速度和最佳的记忆体使用，这些已经成为市场成长的另一个驱动力。 COVID-19 增加了全球对自动化的需求，刺激了 IT 和医疗保健领域神经拟态运算、AI 硬体和边缘分析市场的扩张。然而，预计演算法和后端流程的复杂性可能会阻碍市场成长。神经形态计算领域研发支出的增加预计将在预测期内推动市场扩张。

目录

第一章全球神经拟态运算、人工智慧硬体与边缘分析市场简介

  • 市场概览
  • 调查范围
  • 先决条件

第 2 章执行摘要

第三章研究方法

  • 资料探勘
  • 验证
  • 主要来源
  • 资料来源列表

第 4 章全球神经拟态运算、人工智慧硬体与边缘分析市场前景

  • 摘要
  • 市场动态
    • 促进因素
    • 抑制因素
    • 机会
    • 课题
  • 波特的五力模型
  • 价值链分析

第 5 章神经形态运算、AI 硬体与边缘分析市场：依部署划分

  • 摘要
  • 边缘运算
  • 云端运算

第 6 章神经拟态运算、人工智慧硬体和边缘分析的全球市场：透过提供

  • 摘要
  • 硬体
  • 软体

第 7 章神经拟态运算、人工智慧硬体和边缘分析的全球市场：按应用划分

  • 摘要
  • 影像识别
  • 讯号识别
  • 资料探勘

第 8 章神经形态运算、人工智慧硬体与边缘分析市场：按行业

  • 摘要
  • 汽车
  • 消费性电子产品
  • 航空航太/军事/国防
  • IT/通信
  • 行业
  • 医疗
  • 其他（智慧基础设施、教育）

第 8 章按地区划分的神经拟态运算、人工智慧硬体和边缘分析的全球市场

  • 摘要
  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 其他亚太地区
  • 拉丁美洲
    • 巴西
    • 阿根廷
    • 其他拉丁美洲地区
  • 中东/非洲
    • 阿拉伯联合大公国
    • 沙乌地阿拉伯
    • 南非
    • 其他中东和非洲地区

第9章全球神经拟态运算、人工智慧硬体与边缘分析市场的竞争格局

  • 摘要
  • 公司市占率
  • 主要进展

第十章公司简介

  • IBM Corporation
  • Numenta
  • Qualcomm
  • BrainChip
  • General Vision
  • HRL Laboratories
  • Applied Brain Research
  • Brain Corporation
  • Intel Corporation
  • Knowm

第11章主要进展

  • 产品发布/开发
  • 併购
  • 业务扩展
  • 合作伙伴与联盟

第12章附录

  • 相关研究
简介目录
Product Code: 7408

Neuromorphic Computing, AI Hardware And Edge Analytic Market Size And Forecast

Neuromorphic Computing, AI Hardware And Edge Analytic Market size was valued at USD 43.70 Million in 2022 and is projected to reach USD 241.14 Million by 2030, growing at a CAGR of 23.80% from 2023 to 2030. The expanding need for high-performance Integrated Circuits is a significant factor in the growth of the global neuromorphic computing industry. By processing and storing data on the same chip, neuromorphic devices can significantly reduce the time a typical CPU spends moving data around. The Global Neuromorphic Computing, AI Hardware And Edge Analytic Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors playing a substantial role in the market.

Global Neuromorphic Computing, AI Hardware And Edge Analytic Market Definition

Neuromorphic Computing is the latest development in line with technological developments in the field of Artificial Intelligence, with its focus on extending Artificial Intelligence into areas that emulate human cognition, for instance, activities such as autonomous adaptations and interpretations. The outputs of artificial intelligence based on neural networks and algorithms, which lack any human context to the issue statement and are mostly dependent on the trend that a particular data set has seen in the past, have been significantly improved by this technical advancement. This is why the next generation of AI aims to create a system that can deal with unusual circumstances in a way similar to how a human would deal with them. Probabilistic computing and neuromorphic computing, which aim to replicate the neural architecture of the human brain, could work together to handle the uncertainties and complexities of the modern world effectively.

The Spiking Neural Network (SNN), a particular type of neural network, serves as the foundation for neuromorphic computing. An artificial neural network with enough ambition to model its architecture after the network of neurons in the human brain, each of which transmits signals independently of the others and affects the electrical states of the others. The SNN can mimic the adaptability and agility of the human brain due to the way it functions. By constantly adjusting the electrical signal, one of the computational building blocks of an SNN (which is similar to a neuron of a human brain), the SNN can recreate the learning processes of a human brain by encoding the information included within the signals themselves, as well as their timing.

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Global Neuromorphic Computing, AI Hardware And Edge Analytic Market Overview

The expanding need for high-performance Integrated Circuits is a significant factor in the growth of the global neuromorphic computing industry. By processing and storing data on the same chip, neuromorphic devices can significantly reduce the time a typical CPU spends moving data around. The time a regular CPU would have needed to shuttle data between a block of memory and the processor handling these memories' processing tasks is significantly decreased by the ability to combine processing and storage. As a result, the demand for higher-performing ICs for efficient computing is fueling market growth.

To increase productivity and product quality, many sectors must automate their processes using artificial intelligence and machine learning. Numerous businesses use AI extensively, including those in the medical, media, telecom, auto, food, and beverage sectors. Since SNN can make fluid and agile decisions while considering the context of the scenario, it can effectively address the difficulties that these industries frequently face. Combining AI with ML can improve applications' efficiency, including fraud detection, credit scoring, speech recognition, self-driving cars, image classification, and language translation.

The market is expanding due to the increasing demand for general-purpose humanoid robots with cognitive and cerebral capabilities. The switch from Von Neumann architecture to neuromorphic chips, another market growth driver, is driven by the inherent technological advantages of neuromorphic chips, such as reduced power consumption, higher speed, and optimal memory usage. The global demand for automation has increased due to COVID-19, spurring the expansion of the Neuromorphic Computing, AI Hardware And Edge Analytic Market in the IT and medical sectors. However, it is anticipated that the complexity of algorithms and backend processes may impede market growth. Increasing spending on research and development in the field of neuromorphic computing is expected to fuel market expansion in the forecast period.

Global Neuromorphic Computing, AI Hardware And Edge Analytic Market Segmentation Analysis

The Global Neuromorphic Computing, AI Hardware And Edge Analytic Market is Segmented on the basis of Deployment, Offering, Application, Vertical, and Geography.

Neuromorphic Computing, AI Hardware And Edge Analytic Market, By Deployment

  • Edge Computing
  • Cloud Computing

Based on Deployment, the market is segmented into Edge Computing and Cloud Computing. Cloud computing is expected to have a wider market presence in the forecast period due to the numerous technological advantages it offers such as a stop platform for securely storing and transporting huge amounts of data for any organization.

Neuromorphic Computing, AI Hardware And Edge Analytic Market, By Offering

  • Hardware
  • Software

Based on Offering, the market is segmented into Hardware and Software. The software segment is expected to have a larger market share owing to the incremental software needs across various industries such as telecom and media, which is supported by the software applications of Neuromorphic Computing such as real-time data streaming, data modeling, and predictions. The hardware segment is further divided into processors and memory.

Neuromorphic Computing, AI Hardware And Edge Analytic Market, By Application

  • Image Processing
  • Signal Processing
  • Data Processing
  • Object Detection
  • Others

Based on Application, the market is segmented into Image Processing, Signal Processing, Data Processing, Object Detection, and Others. Image Processing is expected to be in prominence over the forecast period, owing to the advancements in digital cameras and other processing systems.

Neuromorphic Computing, AI Hardware And Edge Analytic Market, By Vertical

  • Automotive
  • Consumer Electronics
  • Aerospace, Military and Defense
  • IT and Telecommunication
  • Industrial
  • Medical
  • Others (Smart Infrastructure and Education)

Based on Vertical, the market is segmented into Automotive, Consumer Electronics, Aerospace, Military and Defense, IT and Telecommunication, Industrial, Medical, and Others (Smart Infrastructure and Education). Approximately 30% of the market is expected to be occupied by Aerospace, Military and Defense. This is due to the applications that Neuromorphic Computing can provide in the field of the military such as the secure and speedy transmission of signals containing critical information, resource management, and battlefield surveillance amongst others.

Neuromorphic Computing, AI Hardware And Edge Analytic Market, By Geography

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East and Africa

Based on Regional Analysis, the Neuromorphic Computing, AI Hardware And Edge Analytic Market is classified into North America, Europe, Asia Pacific, Latin America, the Middle East and Africa. North American region is expected to grow at the highest CAGR in the forecast period. It is expected to occupy around 40% of the market in 2021. This can be due to the countries in the North American region, being the leading implementers of a major number of technological advancements and rising R&D investments in the area of Neuromorphic Computing.

Key Players

  • The "Global Neuromorphic Computing, AI Hardware And Edge Analytic Market" study report will provide valuable insight with an emphasis on the global market including some of the major players such as
  • IBM Corporation, Intel Corporation, Brainchip Holdings Limited, Qualcomm Technologies, HP Enterprise, HRL Laboratories LLC, Flow Neuroscience AB, Innatera Nano systems B.V., Aspinity, Inc., Samsung Electronics Limited, and others are prominent manufacturers operating in the market.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis.

  • Ace Matrix Analysis
  • The Ace Matrix provided in the report would help to understand how the major key players involved in this industry are performing as we provide a ranking for these companies based on various factors such as service features & innovations, scalability, innovation of services, industry coverage, industry reach, and growth roadmap. Based on these factors, we rank the companies into four categories as
  • Active, Cutting Edge, Emerging, and Innovators.
  • Market Attractiveness
  • The image of market attractiveness provided would further help to get information about the region that is majorly leading in the Global Neuromorphic Computing, AI Hardware And Edge Analytic Market. We cover the major impacting factors that are responsible for driving the industry growth in the given region.
  • Porter's Five Forces
  • The image provided would further help to get information about Porter's five forces framework providing a blueprint for understanding the behavior of competitors and a player's strategic positioning in the respective industry. Porter's five forces model can be used to assess the competitive landscape in the Neuromorphic Computing, AI Hardware And Edge Analytic Market , gauge the attractiveness of a certain sector, and assess investment possibilities.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL NEUROMORPHIC COMPUTING, AI HARDWARE AND EDGE ANALYTIC MARKET

  • 1.1 Overview of the Market
  • 1.2 Scope of Report
  • 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY

  • 3.1 Data Mining
  • 3.2 Validation
  • 3.3 Primary Interviews
  • 3.4 List of Data Sources

4 GLOBAL NEUROMORPHIC COMPUTING, AI HARDWARE AND EDGE ANALYTIC MARKET OUTLOOK

  • 4.1 Overview
  • 4.2 Market Dynamics
    • 4.2.1 Drivers
    • 4.2.2 Restraints
    • 4.2.3 Opportunities
    • 4.2.4 Challenges
  • 4.3 Porters Five Force Model
  • 4.4 Value Chain Analysis

5 Neuromorphic Computing, AI Hardware And Edge Analytic Market, By Deployment

  • 5.1 Overview
  • 5.1 Edge Computing
  • 5.2 Cloud Computing

6 GLOBAL NEUROMORPHIC COMPUTING, AI HARDWARE AND EDGE ANALYTIC MARKET, BY OFFERING

  • 6.1 Overview
  • 6.2 Hardware
  • 6.3 Software

7 GLOBAL NEUROMORPHIC COMPUTING, AI HARDWARE AND EDGE ANALYTIC MARKET, BY APPLICATION

  • 7.1 Overview
  • 7.2 Image Recognition
  • 7.3 Signal Recognition
  • 7.4 Data Mining

8 Neuromorphic Computing, AI Hardware And Edge Analytic Market, By Vertical

  • 8.1 Overview
  • 8.2 Automotive
  • 8.3 Consumer Electronics
  • 8.4 Aerospace, Military and Defense
  • 8.5 IT and Telecommunication
  • 8.6 Industrial
  • 8.7 Medical
  • 8.8 Others (Smart Infrastructure and Education)

8 GLOBAL NEUROMORPHIC COMPUTING, AI HARDWARE AND EDGE ANALYTIC MARKET, BY GEOGRAPHY

  • 8.1 Overview
  • 8.2 North America
    • 8.2.1 The U.S.
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 The U.K.
    • 8.3.3 France
    • 8.3.4 Italy
    • 8.3.5 Spain
    • 8.3.6 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 China
    • 8.4.2 Japan
    • 8.4.3 India
    • 8.4.4 Rest of Asia Pacific
  • 8.5 Latin America
    • 8.5.1 Brazil
    • 8.5.2 Argentina
    • 8.5.3 Rest of LATAM
  • 8.6 Middle East and Africa
    • 8.6.1 UAE
    • 8.6.2 Saudi Arabia
    • 8.6.3 South Africa
    • 8.6.4 Rest of the Middle East and Africa

9 GLOBAL NEUROMORPHIC COMPUTING, AI HARDWARE AND EDGE ANALYTIC MARKET COMPETITIVE LANDSCAPE

  • 9.1 Overview
  • 9.2 Company market share
  • 9.3 Key developments

10 COMPANY PROFILES

  • 10.1 IBM Corporation
    • 10.1.1 Company Overview
    • 10.1.2 Company Insights
    • 10.1.3 Business Breakdown
    • 10.1.4 Product Benchmarking
    • 10.1.5 Key Developments
    • 10.1.6 Winning Imperatives
    • 10.1.7 Current Focus & Strategies
    • 10.1.8 Threat from Competition
    • 10.1.9 SWOT Analysis
  • 10.2 Numenta
    • 10.2.1 Company Overview
    • 10.2.2 Company Insights
    • 10.2.3 Business Breakdown
    • 10.2.4 Product Benchmarking
    • 10.2.5 Key Developments
    • 10.2.6 Winning Imperatives
    • 10.2.7 Current Focus & Strategies
    • 10.2.8 Threat from Competition
    • 10.2.9 SWOT Analysis
  • 10.3 Qualcomm
    • 10.3.1 Company Overview
    • 10.3.2 Company Insights
    • 10.3.3 Business Breakdown
    • 10.3.4 Product Benchmarking
    • 10.3.5 Key Developments
    • 10.3.6 Winning Imperatives
    • 10.3.7 Current Focus & Strategies
    • 10.3.8 Threat from Competition
    • 10.3.9 SWOT Analysis
  • 10.4 BrainChip
    • 10.4.1 Company Overview
    • 10.4.2 Company Insights
    • 10.4.3 Business Breakdown
    • 10.4.4 Product Benchmarking
    • 10.4.5 Key Developments
    • 10.4.6 Winning Imperatives
    • 10.4.7 Current Focus & Strategies
    • 10.4.8 Threat from Competition
    • 10.4.9 SWOT Analysis
  • 10.5 General Vision
    • 10.5.1 Company Overview
    • 10.5.2 Company Insights
    • 10.5.3 Business Breakdown
    • 10.5.4 Product Benchmarking
    • 10.5.5 Key Developments
    • 10.5.6 Winning Imperatives
    • 10.5.7 Current Focus & Strategies
    • 10.5.8 Threat from Competition
    • 10.5.9 SWOT Analysis
  • 10.6 HRL Laboratories
    • 10.6.1 Company Overview
    • 10.6.2 Company Insights
    • 10.6.3 Business Breakdown
    • 10.6.4 Product Benchmarking
    • 10.6.5 Key Developments
    • 10.6.6 Winning Imperatives
    • 10.6.7 Current Focus & Strategies
    • 10.6.8 Threat from Competition
    • 10.6.9 SWOT Analysis
  • 10.7 Applied Brain Research
    • 10.7.1 Company Overview
    • 10.7.2 Company Insights
    • 10.7.3 Business Breakdown
    • 10.7.4 Product Benchmarking
    • 10.7.5 Key Developments
    • 10.7.6 Winning Imperatives
    • 10.7.7 Current Focus & Strategies
    • 10.7.8 Threat from Competition
    • 10.7.9 SWOT Analysis
  • 10.8 Brain Corporation
    • 10.8.1 Company Overview
    • 10.8.2 Company Insights
    • 10.8.3 Business Breakdown
    • 10.8.4 Product Benchmarking
    • 10.8.5 Key Developments
    • 10.8.6 Winning Imperatives
    • 10.8.7 Current Focus & Strategies
    • 10.8.8 Threat from Competition
    • 10.8.9 SWOT Analysis
  • 10.9 Intel Corporation
    • 10.9.1 Company Overview
    • 10.9.2 Company Insights
    • 10.9.3 Business Breakdown
    • 10.9.4 Product Benchmarking
    • 10.9.5 Key Developments
    • 10.9.6 Winning Imperatives
    • 10.9.7 Current Focus & Strategies
    • 10.9.8 Threat from Competition
    • 10.9.9 SWOT Analysis
  • 10.10 Knowm
    • 10.10.1 Company Overview
    • 10.10.2 Company Insights
    • 10.10.3 Business Breakdown
    • 10.10.4 Product Benchmarking
    • 10.10.5 Key Developments
    • 10.10.6 Winning Imperatives
    • 10.10.7 Current Focus & Strategies
    • 10.10.8 Threat from Competition
    • 10.10.9 SWOT Analysis

11 KEY DEVELOPMENTS

  • 11.1 Product Launches/Developments
  • 11.2 Mergers and Acquisitions
  • 11.3 Business Expansions
  • 11.4 Partnerships and Collaborations

12 Appendix

  • 12.1 Related Research