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1616809

全球神經形態運算、人工智慧硬體、邊緣分析市場規模（按部署、產品、應用、產業、地區、範圍和預測）

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個工作天內

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簡介目錄

神經擬態運算、人工智慧硬體和邊緣分析的市場規模和預測

2022年神經形態運算、人工智慧硬體和邊緣分析市場規模為4,370萬美元，2023年至2030年複合年增長率為23.80%，到2030年將達到2.4114億美元。對高效能積體電路不斷增長的需求極大地促進了全球神經形態運算產業的成長。透過在同一晶片上處理和儲存數據，神經形態設備可以顯著減少典型 CPU 行動數據所花費的時間。該研究報告對全球神經擬態運算、人工智慧硬體和邊緣分析市場進行了全面評估。它對關鍵細分市場、趨勢、市場推動因素、阻礙因素、競爭格局以及在市場中發揮主要作用的因素進行了全面分析。

定義全球神經擬態運算、人工智慧硬體和邊緣分析市場

神經擬態運算是順應人工智慧領域技術發展的最新進展，旨在將人工智慧擴展到模仿人類認知的領域，例如自主適應和解釋等活動。這項技術進步顯著提高了基於神經網路和演算法的人工智慧的輸出，這些人工智慧缺乏問題陳述的人類背景，並且主要依賴特定數據集的歷史趨勢。因此，下一代人工智慧的目標是創建一個能夠像人類一樣應對異常情況的系統。旨在複製人腦神經架構的機率計算和神經形態計算可以協同工作，有效應對現代世界的不確定性和複雜性。

Spirking 神經網路（SNN）是神經網路的一種，也是神經形態運算的基礎。一個模仿人腦神經元網絡的雄心勃勃的人工神經網絡，其中每個神經元獨立於其他神經元發送信號並影響其他神經元的電狀態。 SNN 的功能使其能夠模仿人腦的適應性和敏捷性。透過不斷調整 SNN 的計算組件之一——電訊號（類似於人腦中的神經元），SNN 會對訊號本身所包含的資訊及其時序進行編碼，使人腦能夠進行學習過程可以複製。

全球神經擬態運算、人工智慧硬體與邊緣分析市場概覽

對高效能積體電路不斷增長的需求是全球神經形態運算產業成長的關鍵因素。透過在同一晶片上處理和儲存數據，神經形態設備可以顯著減少典型 CPU 行動數據所花費的時間。將處理和儲存結合的能力顯著減少了典型 CPU 在記憶體區塊和處理這些記憶體的處理任務的處理器之間傳輸資料所需的時間。因此，對用於高效運算的更高效能 IC 的需求正在推動市場成長。

許多領域需要使用人工智慧和機器學習來實現流程自動化，以提高生產力和產品品質。許多公司正在醫療、媒體、通訊、汽車、食品飲料等領域廣泛運用人工智慧。 SNN 可以考慮場景的背景，流暢、敏捷地做出決策，從而有效地解決這些行業經常面臨的挑戰。人工智慧和機器學習的結合可以提高詐欺偵測、信用評分、語音辨識、自動駕駛汽車、圖像分類和語言翻譯等應用的效率。

由於對具有認知和大腦功能的通用人形機器人的需求不斷增加，市場正在擴大。從馮諾依曼架構轉變為神經擬態晶片的轉變是由神經擬態晶片固有的技術優勢驅動的，例如更低的功耗、更高的速度和最佳的記憶體使用，這些已經成為市場成長的另一個驅動力。 COVID-19 增加了全球對自動化的需求，刺激了 IT 和醫療保健領域神經擬態運算、AI 硬體和邊緣分析市場的擴張。然而，預計演算法和後端流程的複雜性可能會阻礙市場成長。神經形態計算領域研發支出的增加預計將在預測期內推動市場擴張。

目錄

第一章全球神經擬態運算、人工智慧硬體與邊緣分析市場簡介

  • 市場概覽
  • 調查範圍
  • 先決條件

第 2 章執行摘要

第三章研究方法

  • 資料探勘
  • 驗證
  • 主要來源
  • 資料來源列表

第 4 章全球神經擬態運算、人工智慧硬體與邊緣分析市場前景

  • 摘要
  • 市場動態
    • 促進因素
    • 抑制因素
    • 機會
    • 課題
  • 波特的五力模型
  • 價值鏈分析

第 5 章神經形態運算、AI 硬體與邊緣分析市場：依部署劃分

  • 摘要
  • 邊緣運算
  • 雲端運算

第 6 章神經擬態運算、人工智慧硬體和邊緣分析的全球市場：透過提供

  • 摘要
  • 硬體
  • 軟體

第 7 章神經擬態運算、人工智慧硬體和邊緣分析的全球市場：按應用劃分

  • 摘要
  • 影像識別
  • 訊號識別
  • 資料探勘

第 8 章神經形態運算、人工智慧硬體與邊緣分析市場：按行業

  • 摘要
  • 汽車
  • 消費性電子產品
  • 航空航太/軍事/國防
  • IT/通信
  • 行業
  • 醫療
  • 其他（智慧基礎設施、教育）

第 8 章按地區劃分的神經擬態運算、人工智慧硬體和邊緣分析的全球市場

  • 摘要
  • 北美
    • 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
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他亞太地區
  • 拉丁美洲
    • 巴西
    • 阿根廷
    • 其他拉丁美洲地區
  • 中東/非洲
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯
    • 南非
    • 其他中東和非洲地區

第9章全球神經擬態運算、人工智慧硬體與邊緣分析市場的競爭格局

  • 摘要
  • 公司市佔率
  • 主要進展

第十章公司簡介

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

第11章主要進展

  • 產品發佈/開發
  • 併購
  • 業務擴展
  • 合作夥伴與聯盟

第12章附錄

  • 相關研究
簡介目錄
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