人工智慧與機器學習：邊緣人工智慧市場數據概覽（2025 年第三季）

本報告分析了邊緣運算領域的人工智慧晶片組市場，並提供了人工智慧晶片組出貨量和收入的預測，以及按地區、架構、行業、工作負載和用例劃分的區隔數據。

實際優勢：

• 了解人工智慧在邊緣設備、閘道器和本機伺服器的滲透情況。
• 了解主要產業垂直領域和地區邊緣人工智慧晶片組出貨量和收入的成長。
• 根據邊緣人工智慧晶片組按架構劃分的成長率評估相關策略。
• 向內部和外部利害關係人解釋人工智慧對晶片組出貨量和收入的影響。

回答關鍵問題：

• 到 2031 年，AI 硬體將如何在邊緣設備、網關和伺服器中應用？
• AI 晶片組市場將如何依設備類型和產業發展？
• 邊緣 AI 的目標 AI 工作負載是什麼？
• 這種成長如何因地區和晶片組架構而異？
• 到 2031 年，哪種晶片組架構將主導邊緣 AI？

研究亮點：

• 2024-2031年邊緣運算市場AI晶片組出貨量與營收預測
• 按地區、架構、產業、工作負載和用例劃分的詳細分析

目錄

本產品應與 "人工智慧機器學習邊緣AI" （MD-AIMLOD-103）搭配使用。

主要發現

最新發布

研究方法

主要預測

Actionable Benefits:

• Identify penetration of Artificial Intelligence (AI) on edge devices, gateways, and on-premises servers.
• Understand how edge AI chipset shipments and revenue will grow by key verticals and regions.
• Evaluate strategy based on relative growth of edge AI chipset architectures.
• Educate internal and external stakeholders about the impact of AI on chipset shipments and revenue.

Critical Questions Answered:

• How will AI hardware be adopted in edge devices, gateways, and servers until 2031?
• How will the AI chipset market for each device type and vertical develop going forward?
• Which AI workloads will edge AI target?
• How does this growth differ by region and chipset architecture?
• Which chipset architecture will dominate edge AI by 2031?

Research Highlights:

• Forecasts for AI chipset shipments and revenue in the edge market from 2024 to 2031.
• Detailed breakdowns by region, architecture, vertical, workload, and use case.

Who Should Read This?

• Sales and marketing leaders in diverse markets affected by AI.
• Investors gauging the potential for growth in the markets covered.
• Strategists across the entire AI stack developing edge AI products and strategy.
• Chipset vendors seeking greater insight into their market sizes and new growth areas.

TABLE OF CONTENTS

This product is meant to be read in conjunction with Artificial Intelligence Machine Learning Edge AI MD-AIMLOD-103

Key Findings

Whats New

Methodology

Significant Forecast