人工智慧與機器學習：邊緣人工智慧－市場數據概覽（2026 年第二季）

本報告研究了全球邊緣人工智慧市場，概述了邊緣設備、閘道器和伺服器中人工智慧硬體採用的前景，邊緣人工智慧晶片組出貨量和銷售的趨勢和預測，以及按行業和地區等各個細分市場的詳細分析。

實際益處：

• 這樣可以了解人工智慧在邊緣設備、閘道器和本機伺服器中的應用。
• 您可以查看各大產業和地區邊緣人工智慧晶片組的出貨量和銷售額的成長情況。
• 可以根據邊緣人工智慧晶片組架構的相對成長情況來評估各種策略。
• 這可以用來向內部和外部相關利益者通報人工智慧對晶片組出貨量和銷售的影響。

主要問題解答：

• 到 2031 年，人工智慧硬體將如何在邊緣設備、閘道器和伺服器中應用？
• 未來，人工智慧晶片組市場在不同設備類型和產業中將如何發展？
• 邊緣人工智慧主要針對哪些類型的人工智慧工作負載？
• 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人工智慧？

目錄

本產品旨在與「人工智慧機器學習邊緣 AI」（MD-AIMLOD-104）搭配使用。

主要發現

什麼是新的

重要預測

調查方法

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-104

Key Findings

Whats New

Significant Forecasts

Methodology