当前位置:首页 >英文主页 >中英对照 > 报告详情

SHD Group:2025边缘 AI 市场分析:应用场景、处理器与产业生态指南(英文版)(104页).pdf

上传人: 小*** 编号:1264109 2026-06-05 104页 4.90MB

下载:

1、 Edge-AI Market Analysis:Applications,Processors&Ecosystem Guide April 2025 SHD102.a-25 Authors:Richard Wawrzyniak,Joseph Byrne The SHD Group,2025.All rights reserved.This document and its contents are the property of The SHD Group.Reproduction or use of this report,in whole or in part,is permitted

2、solely for licensed recipients,provided that proper attribution is given to The SHD Group.Any unauthorized reproduction or distribution is strictly prohibited.The information presented in this report is derived from interpretation and analysis of data that is publicly available or supplied by reputa

3、ble sources.The SHD Group endeavors to ensure the accuracy and completeness of this information.However,we advise licensed recipients to exercise their own judgment and verify the information as necessary before relying on it.Edge-AI Market Analysis:Applications,Processors&Ecosystem Guide 2025 The S

4、HD Group.All Rights Reserved Edge-AI Market Analysis:Applications,Processors and Ecosystem Guide SDH102.a-25 ii Table of Contents Table of Contents ii List of Figures vi I.Executive Summary 1 Report Methodology.1 Interview Findings.1 Survey Findings.1 II.Foreward 2 Key Highlights.4 Survey Results.4

5、Edge-AI Market Growth:.4 Edge-AI SoC Market Penetration.4 3rd Party SIP Market:.4 3rd Party AI SIP Market.4 Edge-AI Regional Revenues.4 Edge-AI SoC Design Starts:.4 III.Introduction 5 Scope.5 IV.Industry Segments and Edge-AI Definitions 6 Industry Segments.6 V.Interview Findings 8 Deployment.8 Train

6、ing Expectations.9 Neural Network Types.9 Other Neural Networks Still Have Roles.10 VI.Looking Forward 10 Specific Neural Networks.10 Segments/Categories and Required Neural Networks.11 Communicating NPU Differentiations.11 Additional Differentiators.12 VII.Survey Findings 13 Respondent Characterist

word格式文档无特别注明外均可编辑修改,预览文件经过压缩,下载原文更清晰!
三个皮匠报告文库所有资源均是客户上传分享,仅供网友学习交流,未经上传用户书面授权,请勿作商用。
1. **市场增长**:Edge-AI SoC单位出货量预计2030年达87亿,收入达1029亿美元,CAGR分别为25%和21%;2024年Edge-AI设备收入占SoC市场22.1%,2030年将达55.4%。 2. **SIP市场**:2024年全球SIP市场收入92亿美元,AI-SIP收入6.33亿美元,预计2030年AI-SIP收入将达22亿美元(CAGR 23.2%)。 3. **技术趋势**:CNNs是最主流的神经网络,Transformers需求增长但实际部署有限;支持框架以TensorFlow和PyTorch为主,ResNet-50为性能基准。 4. **区域与行业**:中国2024年Edge-AI收入85亿美元(CAGR 21.9%);汽车行业在Vision Transformers应用领先,工业领域需边缘自训练模型(如设备监测)。 5. **挑战**:NPU性能缺乏统一标准(如TOPS不适用SNN),软件生态和能效(每推理能耗)是关键差异化因素。
边缘AI市场有多大? 神经网络如何选择? AI芯片如何差异化?
客服
商务合作
小程序
服务号
折叠