嵌入式/边缘人工智慧硬体：对解决方案增值的持续需求

跨营运环境对嵌入式和边缘人工智慧的需求正在不断增加，以便为提供者和最终用户释放新的、未开发的价值。

本报告调查了全球商用嵌入式和边缘人工智慧硬体（处理器、闆卡、模组、整合系统等）市场，分析了市场规模和竞争状况，并针对开发人员和工程师。基于广泛的研究，我们从需求端考虑市场状况。

目录

执行摘要

世界市场概览

• 近期趋势
• 竞争状况

按地区预测

• 由于地缘政治衝突对人工智慧技术的限制
• 共享（但促进国内创新）

产业比较预测

• 汽车
• 通讯/网络
• 工业自动化/控制
• 新兴市场

最终使用者见解

• 根据行业调整安全要求
• 嵌入式安全硬体/软体/FOTA 软体的实施
• 汽车科技的未来

嵌入式AI加速器的比较预测

最终使用者见解

• 安全性成为选择人工智慧供应商时最重要的考量因素
• AI/ML/DL 处理需求随着机器视觉的增加而增加
• 目前的项目推理并非一刀切

竞争格局

• 竞争格局概览
• 嵌入式/边缘人工智慧供应商简介

范围/方法

• 人工智慧、机器学习、神经网络
• 物联网/嵌入式边缘
• 分析法

报告定义

关于 VDC 研究

图表列表

Demand for embedded and edge AI is intensifying across operational environments to unlock new untapped value for providers and end users. This report examines the global market for merchant embedded and edge AI hardware, including processors, boards, modules, and integrated systems, offering extensive market sizing, competitive landscape analysis, and demand-side findings from our extensive survey of developers and engineers.

Table of Contents

Executive Summary

• Key Findings

Global Market Overview

• Recent Developments
• Competitive Landscape

Regional Forecasts

• Geopolitical Disputes Limit AI Technology
• Sharing (but Stir Domestic Innovation)

Comparative Forecast by Vertical Market

• Automotive
• Communications & Networking
• Industrial Automation and Control
• Emerging Markets

End User Insights

• Industry Adaptation to Security Requirements
• Implementation of Embedded Security Hardware, Software, & FOTA Software
• The Future of Automotive Technology

Comparative Forecast by Embedded AI Accelerator

End-User Insights

• Security Emerges as a Top Consideration for AI Vendor Selection
• AI/ML/DL Processing Requirements are Ramping with Machine Vision
• Inferencing in Current Projects is Far from One-Size-Fits-All

Competitive Landscape

• Competitive Landscape Overview
• Embedded & Edge AI Vendor Profiles

Scope & Methodology

• Artificial Intelligence, Machine Learning, & Neural Networks
• The IoT/Embedded Edge
• Methodology

Report Definitions

About VDC Research

Report Exhibits

• Exhibit 1: Forecasted Global Shipments of Embedded and Edge AI Hardware Segmented by Form Factor, 2022-2027 (Millions of Dollars)
• Exhibit 2: Use of Machine Learning/Neural Networks on Current & Future Projects (Percentage of Respondents)
• Exhibit 3: Recent Embedded & Edge AI Partnerships and Collaborations
• Exhibit 4: Forecasted Global Shipments of Embedded and Edge AI Hardware Segmented by Region, 2022-2027 (Millions of Dollars)
• Exhibit 5: Global Shipments of Embedded and Edge AI Processors Segmented by Vertical Market, 2022 (Percentage of Revenue)
• Exhibit 6: Global Shipments of Embedded and Edge AI Boards and Modules Segmented by Vertical Market, 2022 (Percentage of Revenue)
• Exhibit 7: Global Shipments of Embedded and Edge AI Systems and Servers Segmented by Vertical Market, 2022 (Percentage of Revenue)
• Exhibit 8: Leading Embedded & Edge AI Applications Segmented by Vertical Market
• Exhibit 9: Global Shipments of Embedded & Edge AI Hardware Segmented by Accelerator Type, 2022 (Percentage of Revenue)
• Exhibit 10: Most Important Elements When Considering AI Vendors/Integrators (Percentage of Respondents)
• Exhibit 11: AI/ML/Deep Learning Processing Requirements on Current Project with Machine Vision Segmented by Bit Width (Percentage of Respondents)
• Exhibit 12: Target Architecture(s) Used for Inferencing In Current Project (Percentage of Respondents)
• Exhibit 13: Global Shipments of Embedded and Edge AI Hardware Segmented by Leading Vendors, 2022 (Percentage of Revenue)