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神經形態計算市場 - 2018-2028 年全球產業規模、佔有率、趨勢、機會和預測，按產品、部署、技術、最終用戶、地區和競爭細分

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個工作天內

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簡介目錄

預計全球神經形態計算市場將在整個預測期內迅速擴張。對人工智慧和機器學習的需求的成長將提高儀器的有效性和性能，因為這兩者的結合預計將通過提供必要的洞察力來做出明智的結論，從而徹底改變商業領域。這些設備的需求量不斷增加，因為它們比傳統設備具有多種優勢，例如影像辨識、詐欺偵測、語音辨識等。人工智慧技術在國防、醫療、電信、公用事業、娛樂、電信、食品和飲料等各種產業中都有應用。

神經計算是基於人腦和神經系統中的系統的電腦的進步。利用人腦的巨大潛力和力量，神經影像計算可以像人腦一樣有效地發揮作用，而不會在軟體部署方面存在重大差距。人工神經網路 (ANN) 模型的發展是一項技術進步，在神經運算領域引發了技術重要性。

汽車企業受到疫情的不利影響。神經運算設備的發展始於建立依賴數千萬個神經元的合成神經網路。這些神經元就像人腦內部的神經元。神經電腦因其快速反應機器而令人驚奇，因為它們的處理速度可能非常快。與傳統電腦相比，神經電腦的設計就像人類思維一樣，因此它們的快速反應小工具在工業界具有巨大的領先地位。神經形態生成可以與人工智慧和設備研究相結合應用於防禦系統，以提高計算強度並提供分析結果，從而加快戰時的選擇速度。此外，神經形態發電尤其具有更強的綠色能力，並且可能會提高步兵可以在該區域內建立的發電的機動性、持久力和攜帶性。例如，英特爾考慮將神經擬態技術應用於無人機鏡頭，並安裝了 Loihi 晶片，該晶片可以從攝影機獲取有機訊號，並像生物思維一樣處理它們，從而大大加快無人機的感知速度。

市場概況
預測期 2024-2028
2022 年市場規模 43億美元
2028 年市場規模 140.2億美元
2023-2028 年年複合成長率 21.98%
成長最快的細分市場 衛生保健
最大的市場 北美洲

預計到 2023 年，影像處理領域將佔據主導地位，收入佔有率將超過 50%。這可以從電腦視覺在汽車、醫療保健、媒體和娛樂等各行業的日益普及中得到體現。例如，醫學影像是影像處理最重要的應用之一。影像感測器和其他處理技術的進步預計將在預測期內推動影像處理領域的收入成長。到 2022 年，訊號處理應用領域將佔整體市場佔有率的很高比例，預計在預測期內將顯著成長。管理音訊和聲學訊號的需求不斷成長，極大地促進了訊號處理領域的成長。隨著人工智慧和機器學習在 IT 企業中的快速實施，資料處理領域預計將在預測期內擴展。自動化機器學習是企業中最顯著的人工智慧趨勢之一。

人工智慧 (AI) 和自動化系統的接受度不斷提高

大腦本質上是神經形態計算的管理者。它利用人工神經元和連結來處理訊息，這使得它比傳統計算更加節能和可擴展。

人工智慧和自動化系統在醫療保健、製造和運輸等行業中正在逐步改進。這些系統涉及強大的計算系統，可以即時處理大量資料。神經形態計算非常適合這些應用，因為它可以提供這些系統所需的功率和效率。該技術被各行業廣泛接受，主要是快速消費品、零售和製造。人工智慧和自動化系統的接受度不斷提高預計將推動神經形態運算市場。工業、醫療、IT與電信、航空航太、軍事與國防、汽車、消費性電子等各產業對人工智慧和自動化系統的接受度不斷提高，將在預測期內推動神經形態運算市場的需求，2024 - 2028年。神經形態計算具有快速並行處理和最低功耗等優勢。它還消除了馮諾依曼架構中元件之間來回資料移動的需要，這有望推動其在影像和訊號處理應用中的採用。此外，預計消費性電子、汽車、醫療保健以及軍事和國防領域的採用也將極大地推動市場成長。對人工智慧和獲取技術知識的系統的需求不斷成長，改善了軟體程式在神經形態計算中的使用。在老化和生育率下降的背景下，人工智慧和自動化技術將改善全球經濟體系並促進國際繁榮。在老化和出生率下降正在推動經濟成長之際，人工智慧和自動化技術的提升可以提振全球經濟並加強全球繁榮。當代神經擬態研究的進展部分歸功於人工智慧、機器學習、神經網路和深度神經網路架構在消費者和企業技術中的廣泛且不斷增加的使用。神經形態技術通常受益於深度加速器、下一代半導體、電晶體和自主系統，例如機器人、無人機、自動駕駛汽車和人工智慧。用於基於大腦的機器人和感知機器人系統的神經形態晶片的實施考慮了多種技術，神經形態計算對安全性確定的吸引力以及研究的發展，將為市場成員在預測期內提供多種前景。

自動駕駛汽車的日益普及

神經形態計算可以支援自動駕駛車輛更好地偵測和避開障礙物，以及識別物體並對不斷變化的條件做出反應。神經形態計算幫助自動駕駛車輛更熟練地處理視覺訊息。傳統的運算架構需要大量的時間和電力來處理視覺資料，但神經形態運算在即時處理視覺資料時只需要很少的功耗。神經形態計算更擅長識別道路上的物體以及從環境中識別它們。出現這種情況是因為神經形態計算完全發揮了人腦的功能，並且具有辨識物體和模式的專業知識。

在自動駕駛汽車中，神經形態透過同時處理來自多個感測器的資料來幫助偵測和避開障礙物。例如，神經形態運算可以結合來自攝影機、光達、雷達和其他感測器的資料，產生更精確、更全面的車輛周圍環境影像。

最後，自動駕駛汽車的日益普及預計將推動全球神經擬態運算市場的發展。神經形態技術主要用於自主系統，例如無人機和人工智慧。汽車等各行業擴大採用自動化系統和人工智慧，這將增加對神經形態運算市場的需求。出於安全目的和研究開發而接受神經擬態計算將為全球神經擬態計算市場提供大量機會，預計未來幾年將大幅成長。

市場區隔

依產品提供，市場分為硬體和軟體。根據部署，市場分為邊緣運算和部署運算。根據技術，市場分為 MMES 和非 MEMS。根據最終用戶，市場分為汽車、醫療保健、消費性電子、軍事和國防以及工業。市場分析也研究區域細分，以設計區域市場細分，分為北美、歐洲、亞太地區、南美以及中東和非洲。

公司簡介

IBM 公司、英特爾公司、三星電子有限公司、Brain Corporation、General Vision Inc、HRL Laboratories LLC、Vicarious (Alphabet Inc.)、CEA-Leti、Knowm Inc、BrainChip Holdings Ltd 等都是推動這項發展的主要參與者。全球神經形態計算市場的成長。

報告範圍：

在本報告中，除了以下詳細介紹的產業趨勢外，全球神經擬態計算市場也分為以下幾類：

神經形態計算市場，透過提供：

  • 硬體
  • 軟體

神經形態運算市場，依部署分類：

  • 邊緣運算
  • 部署計算

神經形態計算市場（依技術）：

  • 微機電系統
  • 非MEMS

神經形態計算市場，依最終用戶分類：

  • 汽車
  • 衛生保健
  • 消費性電子產品
  • 軍事與國防
  • 工業的

神經形態計算市場（按地區）：

  • 亞太
  • 中國
  • 日本
  • 印度
  • 澳洲
  • 韓國
  • 北美洲
  • 美國
  • 加拿大
  • 墨西哥
  • 歐洲
  • 英國
  • 德國
  • 法國
  • 西班牙
  • 義大利
  • 中東和非洲
  • 以色列
  • 土耳其
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南美洲
  • 巴西
  • 阿根廷
  • 哥倫比亞

競爭格局

  • 公司簡介：全球神經擬態計算市場主要公司的詳細分析。

可用的客製化：

  • 根據給定的市場資料，TechSci Research 可根據公司的具體需求提供客製化服務。該報告可以使用以下自訂選項：

公司資訊

  • 其他市場參與者（最多五個）的詳細分析和概況分析。

目錄

第 1 章：服務概述

  • 市場定義
  • 市場範圍
    • 涵蓋的市場
    • 研究年份
    • 主要市場區隔

第 2 章：研究方法

  • 研究目的
  • 基線方法
  • 主要產業夥伴
  • 主要協會和二手資料來源
  • 預測方法
  • 數據三角測量與驗證
  • 假設和限制

第 3 章：執行摘要

第 4 章：客戶之聲

第 5 章：全球神經擬態計算市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 依產品提供（硬體、軟體）
    • 依部署（邊緣運算、部署運算）
    • 按技術（MMES、非 MEMS）
    • 按最終用戶（汽車、醫療保健、消費性電子產品和工業）
    • 按地區
  • 按公司分類 (2022)
  • 市場地圖

第 6 章：北美神經形態計算市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 透過提供
    • 按部署
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第 7 章：亞太地區神經擬態計算市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 透過提供
    • 按部署
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 亞太地區：國家分析
    • 中國
    • 日本
    • 韓國
    • 印度
    • 澳洲

第 8 章：歐洲神經擬態計算市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 透過提供
    • 按部署
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 歐洲：國家分析
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙

第 9 章：南美洲神經擬態計算市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 透過提供
    • 按部署
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 南美洲：國家分析
    • 巴西
    • 阿根廷
    • 哥倫比亞

第 10 章：中東和非洲神經擬態計算市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 透過提供
    • 按部署
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 中東和非洲：國家分析
    • 以色列
    • 土耳其
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯

第 11 章：市場動態

  • 促進要素
  • 挑戰

第 12 章：市場趨勢與發展

第 13 章：公司簡介

  • IBM公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 英特爾公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 三星電子有限公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 大腦公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 通用視覺公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • HRL 實驗室有限責任公司
    • 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-萊蒂
    • 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
  • 腦晶片控股有限公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered

第 14 章：策略建議

第 15 章：關於我們與免責聲明

（註：公司名單可依客戶要求客製化。）

簡介目錄
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.)