嵌入式/邊緣人工智慧硬體：對解決方案增值的持續需求

跨營運環境對嵌入式和邊緣人工智慧的需求正在不斷增加，以便為提供者和最終用戶釋放新的、未開發的價值。

本報告調查了全球商用嵌入式和邊緣人工智慧硬體（處理器、闆卡、模組、整合系統等）市場，分析了市場規模和競爭狀況，並針對開發人員和工程師。基於廣泛的研究，我們從需求端考慮市場狀況。

目錄

執行摘要

世界市場概覽

• 近期趨勢
• 競爭狀況

按地區預測

• 由於地緣政治衝突對人工智慧技術的限制
• 共享（但促進國內創新）

產業比較預測

• 汽車
• 通訊/網絡
• 工業自動化/控制
• 新興市場

最終使用者見解

• 根據行業調整安全要求
• 嵌入式安全硬體/軟體/FOTA 軟體的實施
• 汽車科技的未來

嵌入式AI加速器的比較預測

最終使用者見解

• 安全性成為選擇人工智慧供應商時最重要的考量因素
• AI/ML/DL 處理需求隨著機器視覺的增加而增加
• 目前的項目推理並非一刀切

競爭格局

• 競爭格局概覽
• 嵌入式/邊緣人工智慧供應商簡介

範圍/方法

• 人工智慧、機器學習、神經網絡
• 物聯網/嵌入式邊緣
• 分析法

報告定義

關於 VDC 研究

圖表列表

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)