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市场调查报告书

商品编码

1517624

神经形态运算市场，按组件（硬体、软体、服务）、按部署（边缘、云端）、按应用程式（影像识别、讯号识别、资料探勘）按最终用途行业和预测，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个工作天内

价格

简介目录

在神经科学见解的快速发展和边缘运算的兴起的推动下，神经形态运算市场规模预计从 2024 年到 2032 年复合年增长率将超过 25.5%。最近，研究人员正在将受大脑神经网路启发的原理整合到硬体和软体设计中，以提高运算效率并模仿认知过程。向边缘运算的转变也透过实现即时资料处理和减少延迟来加速这一进步，从而促进行业成长。例如，2024 年 5 月，SpiNNcloud Systems 推出了 SpiNNaker2，以推进混合 AI 系统的神经形态运算。该平台透过模拟神经网路来增强运算能力，以实现更有效率和可扩展的人工智慧处理。

整个市场分为组件、部署、应用程式、最终用途行业和地区。

就组件而言，软体领域的神经拟态计算市场预计将在 2024 年至 2032 年期间实现显着的复合年增长率。这些演算法模仿神经网络，同时允许高效的模式识别和学习任务。研究人员和开发人员也在完善这些软体框架，以优化人工智慧应用程式的效能和可扩展性。

透过部署，云端领域的神经拟态运算产业预计将从 2024 年到 2032 年崛起。这些平台还透过整合增强的处理能力和储存功能来改进，以支援即时资料分析和人工智慧模型的训练。最近，云端技术也被用来增强神经拟态运算的可扩展性和效率，以实现跨产业更广泛的采用，并加速智慧系统和自主技术的发展。

从地区来看，亚太地区神经拟态运算市场规模预计将在 2024 年至 2032 年间呈现强劲成长，这主要得益于军事和国防应用的使用增加以推动投资。研究计划正在帮助将神经拟态原理整合到硬体和软体解决方案中，以提高感测器处理、监视和网路安全能力。随着国防技术投资的增加，亚太地区将见证神经拟态运算解决方案在关键国防系统中的采用，以增强国家安全并提高人工智慧驱动的国防技术的能力。

产业生态系统分析
供应商矩阵
利润率分析
技术与创新格局
专利分析
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 模仿大脑的效率和平行处理能力
  - 与传统运算架构相比，能源效率更高
  - 人工智慧和机器学习应用的突破潜力
  - 处理大规模神经网路模拟的可扩展性
  - 对类脑运算解决方案的需求不断增长
- 产业陷阱与挑战
  - 神经形态系统设计与程式设计的复杂性
  - 与现有软体和硬体基础设施的兼容性有限
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

介绍
公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按组成部分，2021 - 2032 年

主要趋势
硬体
软体
服务

第 6 章：市场估计与预测：按部署划分，2021 年 - 2032 年

主要趋势
边缘
云

第 7 章：市场估计与预测：依应用分类，2021 - 2032

主要趋势
影像辨识
讯号识别
资料探勘
其他的

第 8 章：市场估计与预测：依最终用途产业，2021 - 2032 年

主要趋势
消费性电子产品
汽车
卫生保健
军事与国防
工业的
其他的

第 9 章：市场估计与预测：按地区，2021 - 2032

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 义大利
- 西班牙
- 欧洲其他地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 亚太地区其他地区
拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地区
MEA
- 阿联酋
- 南非
- 沙乌地阿拉伯
- MEA 的其余部分

第 10 章：公司简介

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

简介目录

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