AI和機器學習：個人和商用設備 - 市場數據概覽（2026 年第二季）

本報告調查了個人和商用設備的 AI 和機器學習趨勢，總結了設備邊緣 AI 推理和訓練晶片組的出貨趨勢和預測，按設備類型、架構、應用和地區等各種類別進行了詳細分析，並預測了廠商市場佔有率。

實際益處：

• 這樣一來，您就可以確定受人工智慧影響的個人和商用設備中的關鍵成長領域。
• 您可以深入了解人工智慧晶片組（包括新型異構系統）的成長時間和規模。
• 這可以用來向內部和外部相關利益者通報人工智慧對更新周期的影響。

主要問題解答：

• 未來十年，人工智慧硬體在設備中的重要性將成長多少？
• 未來人工智慧晶片組市場在各類設備中將如何發展？
• 這種成長如何因地區和晶片組架構而異？

研究亮點：

• 預計到 2031 年，用於設備的 AI 晶片組的出貨量和收入。
• 按設備類型和地區分類的詳細分類。
• 目標設備包括智慧型手機、筆記型電腦和桌上型電腦。

目錄

本產品旨在與「人工智慧和機器學習個人工作設備」（MD-AIMLED-104）搭配使用。

主要發現

什麼是新的

重要預測

調查方法

定義

Actionable Benefits:

• Identify the key areas of growth in personal and work devices affected by Artificial Intelligence (AI).
• Gain insight into the timing and magnitude of growth in AI chipsets, including novel heterogenous systems.
• Educate internal and external stakeholders about the impact of AI on refresh cycles.

Critical Questions Answered:

• How prominent will AI hardware be in devices throughout the rest of the decade?
• How will the AI chipset market for each device type develop going forward?
• How does this growth differ by region and chipset architecture?

Research Highlights:

• Forecasts for AI chipset shipments and revenue in devices through 2031.
• Detailed regional breakdowns for each device type.
• Devices include smartphones, notebooks, and desktops.

Who Should Read This?

• Sales and marketing leaders in the smartphone, Personal Computer (PC), tablet, and gaming console markets.
• Investors gauging the potential for growth in the markets covered.
• Chipset vendors seeking greater insight into their market sizes.

TABLE OF CONTENTS

This product is meant to be read in conjunction with Artificial Intelligence and Machine Learning Personal Work Devices MD-AIMLED-104

Key Findings

Whats New

Significant Forecasts

Methodology

Definitions