人工智慧與機器學習：個人及專業設備市場數據概覽（2025 年第三季）

本報告探討了人工智慧和機器學習對個人及專業設備市場的影響，提供了設備人工智慧晶片組出貨量和收入的預測，並按設備類型、地區和其他區隔市場進行了詳細分析，同時展望了未來發展趨勢。

實際優勢：

• 識別受人工智慧影響的個人及專業設備的關鍵成長領域。
• 深入了解人工智慧晶片組（包括新型異質整合系統）的成長時間和規模。
• 幫助內部和外部利害關係人了解人工智慧對設備更新周期的影響。

解答關鍵問題：

• 未來十年，人工智慧硬體對設備市場的重要性如何？
• 人工智慧晶片組市場將如何隨設備區隔市場發展？
• 這種成長如何因地區和晶片組架構而異？

研究亮點：

• 2031 年前設備 AI 晶片組出貨量與收入預測
• 按設備類型和地區劃分的詳細分析
• 目標裝置：智慧型手機、筆記型電腦和桌上型電腦

目錄

本報告應與 "人工智慧和機器學習個人工作設備 (MD-AIMLED-103)" 一併閱讀。

主要發現

最新資訊

研究方法

主要預測

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-103

Key Findings

Whats New

Methodology

Significant Forecast