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市場調查報告書

商品編碼

1517624

神經形態運算市場，按組件（硬體、軟體、服務）、按部署（邊緣、雲端）、按應用程式（影像識別、訊號識別、資料探勘）按最終用途行業和預測，2024 - 2032 年

Neuromorphic Computing Market, By Component (Hardware, Software, Services), By Deployment (Edge, Cloud), By Application (Image recognition, Signal recognition, Data mining) By End-use Industry & Forecast, 2024 - 2032

出版日期: 2024年04月23日 | 出版商:

Global Market Insights Inc. | 英文 200 Pages | 商品交期: 2-3個工作天內

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簡介目錄

在神經科學見解的快速發展和邊緣運算的興起的推動下，神經形態運算市場規模預計從 2024 年到 2032 年複合年成長率將超過 25.5%。最近，研究人員正在將受大腦神經網路啟發的原理整合到硬體和軟體設計中，以提高運算效率並模仿認知過程。向邊緣運算的轉變也透過實現即時資料處理和減少延遲來加速這一進步，從而促進行業成長。例如，2024 年 5 月，SpiNNcloud Systems 推出了 SpiNNaker2，以推進混合 AI 系統的神經形態運算。該平台透過模擬神經網路來增強運算能力，以實現更有效率和可擴展的人工智慧處理。

整個市場分為組件、部署、應用程式、最終用途行業和地區。

就組件而言，軟體領域的神經擬態計算市場預計將在 2024 年至 2032 年期間實現顯著的複合年成長率。這些演算法模仿神經網路，同時允許高效的模式識別和學習任務。研究人員和開發人員也在完善這些軟體框架，以最佳化人工智慧應用程式的效能和可擴展性。

透過部署，雲端領域的神經擬態運算產業預計將從 2024 年到 2032 年崛起。這些平台還透過整合增強的處理能力和儲存功能來改進，以支援即時資料分析和人工智慧模型的訓練。最近，雲端技術也被用來增強神經擬態運算的可擴展性和效率，以實現跨產業更廣泛的採用，並加速智慧系統和自主技術的發展。

從地區來看，亞太地區神經擬態運算市場規模預計將在 2024 年至 2032 年間呈現強勁成長，這主要得益於軍事和國防應用的使用增加以推動投資。研究計劃正在幫助將神經擬態原理整合到硬體和軟體解決方案中，以提高感測器處理、監視和網路安全能力。隨著國防技術投資的增加，亞太地區將見證神經擬態運算解決方案在關鍵國防系統中的採用，以增強國家安全並提高人工智慧驅動的國防技術的能力。

產業生態系統分析
供應商矩陣
利潤率分析
技術與創新格局
專利分析
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 模仿大腦的效率和平行處理能力
  - 與傳統運算架構相比，能源效率更高
  - 人工智慧和機器學習應用的突破潛力
  - 處理大規模神經網路模擬的可擴展性
  - 對類腦運算解決方案的需求不斷成長
- 產業陷阱與挑戰
  - 神經形態系統設計與程式設計的複雜性
  - 與現有軟體和硬體基礎設施的兼容性有限
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：按組成部分，2021 - 2032 年

主要趨勢
硬體
軟體
服務

第 6 章：市場估計與預測：按部署分類，2021 年 - 2032 年

主要趨勢
邊緣
雲

第 7 章：市場估計與預測：依應用分類，2021 - 2032

主要趨勢
影像辨識
訊號識別
資料探勘
其他

第 8 章：市場估計與預測：依最終用途產業，2021 - 2032 年

主要趨勢
消費性電子產品
汽車
衛生保健
軍事與國防
工業的
其他

第 9 章：市場估計與預測：按地區，2021 - 2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 歐洲其他地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 亞太地區其他地區
拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地區
MEA
- 阿拉伯聯合大公國
- 南非
- 沙烏地阿拉伯
- MEA 的其餘部分

第 10 章：公司簡介

Applied Brain Research
Cerebras Systems
General Vision
HP Enterprise
IBM Corporation
Intel Corporation
Knowm Inc.
Numenta
Qualcomm
Vicarious

簡介目錄

Product Code: 9155

Neuromorphic Computing Market size is projected to record over 25.5% CAGR from 2024 to 2032, driven by rapid advances with insights from neuroscience and the rise of edge computing. Of late, researchers are integrating principles inspired by neural networks of the brain into hardware and software designs for enhancing computational efficiency and mimicking cognitive processes. The shift towards edge computing is also accelerating this progress by enabling real-time data processing and reducing latency, adding to the industry growth. For instance, in May 2024, SpiNNcloud Systems launched SpiNNaker2 for advancing neuromorphic computing for hybrid AI systems. This platform enhances computational capabilities by simulating neural networks to achieve more efficient and scalable AI processing.

The overall market is segregated into component, deployment, application, end-use industry, and region.

In terms of component, the neuromorphic computing market from the software segment is expected to record significant CAGR from 2024 to 2032. Neuromorphic computing software are evolving to harness brain-inspired algorithms for enhanced processing capabilities. These algorithms mimic neural networks while allowing efficient pattern recognition and learning tasks. Researchers and developers are also refining these software frameworks to optimize performance and scalability in AI applications.

By deployment, the neuromorphic computing industry from the cloud segment is projected to rise from 2024 to 2032.Cloud platforms are facilitating the development and deployment of neuromorphic models for enabling researchers to simulate complex neural networks and optimize algorithms for AI applications. These platforms are also improving by integrating enhanced processing power and storage capabilities for supporting real-time data analysis and training of AI models. Lately, cloud technology is also employed for enhancing the scalability and efficiency of neuromorphic computing for enabling broader adoption across industries as well as accelerating the development of intelligent systems and autonomous technologies.

Regionally, the Asia Pacific neuromorphic computing market size is projected to exhibit robust growth between 2024 and 2032, fueled by increasing usage in military and defense applications for driving investments. Research initiatives are helping in integrating neuromorphic principles into hardware and software solutions to improve sensor processing, surveillance, and cybersecurity capabilities. As investments in defense technology are increasing, APAC will witness the adoption of neuromorphic computing solutions into critical defense systems for bolstering national security and advancing capabilities in AI-driven defense technologies.

Chapter 1 Methodology & Scope

1.1 Market scope & definition
1.2 Base estimates & calculations
1.3 Forecast calculation
1.4 Data sources
- 1.4.1 Primary
- 1.4.2 Secondary
  - 1.4.2.1 Paid sources
  - 1.4.2.2 Public sources

Chapter 2 Executive Summary

2.1 Industry 360 degree synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Vendor matrix
3.3 Profit margin analysis
3.4 Technology & innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Mimicking brain's efficiency and parallel processing capabilities
  - 3.8.1.2 Enhanced energy efficiency compared to conventional computing architectures
  - 3.8.1.3 Potential for breakthroughs in AI and machine learning applications
  - 3.8.1.4 Scalability for handling large-scale neural network simulations
  - 3.8.1.5 Growing demand for brain-inspired computing solutions
- 3.8.2 Industry pitfalls & challenges
  - 3.8.2.1 Complexity in designing and programming neuromorphic systems
  - 3.8.2.2 Limited compatibility with existing software and hardware infrastructures
3.9 Growth potential analysis
3.10 Porter's analysis
- 3.10.1 Supplier power
- 3.10.2 Buyer power
- 3.10.3 Threat of new entrants
- 3.10.4 Threat of substitutes
- 3.10.5 Industry rivalry
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2032 (USD Million)

5.1 Key trends
5.2 Hardware
5.3 Software
5.4 Services

Chapter 6 Market Estimates & Forecast, By Deployment, 2021 - 2032 (USD Million)

6.1 Key trends
6.2 Edge
6.3 Cloud

Chapter 7 Market Estimates & Forecast, By Application, 2021 - 2032 (USD Million)

7.1 Key trends
7.2 Image recognition
7.3 Signal recognition
7.4 Data mining
7.5 Others

Chapter 8 Market Estimates & Forecast, By End-Use Industry, 2021 - 2032 (USD Million)

8.1 Key trends
8.2 Consumer electronics
8.3 Automotive
8.4 Healthcare
8.5 Military & Defense
8.6 Industrial
8.7 Others

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2032 (USD Million)

9.1 Key trends
9.2 North America
- 9.2.1 U.S.
- 9.2.2 Canada
9.3 Europe
- 9.3.1 UK
- 9.3.2 Germany
- 9.3.3 France
- 9.3.4 Italy
- 9.3.5 Spain
- 9.3.6 Rest of Europe
9.4 Asia Pacific
- 9.4.1 China
- 9.4.2 India
- 9.4.3 Japan
- 9.4.4 South Korea
- 9.4.5 ANZ
- 9.4.6 Rest of Asia Pacific
9.5 Latin America
- 9.5.1 Brazil
- 9.5.2 Mexico
- 9.5.3 Rest of Latin America
9.6 MEA
- 9.6.1 UAE
- 9.6.2 South Africa
- 9.6.3 Saudi Arabia
- 9.6.4 Rest of MEA