穿戴式 AI 市場機會、成長動力、產業趨勢分析及 2025 - 2034 年預測

2024 年全球穿戴式人工智慧市場價值為 397 億美元，預計 2025 年至 2034 年的複合年成長率為 27.7%。對個人健康管理工具的需求不斷成長，推動了人工智慧穿戴裝置的擴張。這些設備提供持續的健康監測，提供有關心率、活動水平和睡眠模式的即時資料。隨著用戶尋求更聰明的方式來改善日常生活，整合人工智慧的穿戴式設備的採用正在增加。日常生活中對人工智慧的依賴日益增加，這正在塑造穿戴式科技的未來，各家公司不斷改進智慧功能以實現無縫的用戶體驗。人工智慧驅動的分析和即時追蹤的整合正在改變個人健康監測、健身追蹤甚至心理健康。 5G 的擴展和人工智慧設備數量的增加是加速市場成長的關鍵因素。

市場分為智慧眼鏡、智慧耳機、智慧手錶等。 2024 年，智慧手錶佔了超過 40% 的市場佔有率，預計到 2034 年將超過 1907 億美元。智慧手錶中支援人工智慧的應用程式提供了可操作的見解，使其成為追蹤慢性病和支援遠端患者監控的重要工具。這些設備中的人工智慧進步增強了即時警報和診斷，提高了用戶參與度。隨著越來越多的消費者採用人工智慧智慧手錶，對幫助管理健康和健身目標的功能的需求持續成長。

穿戴式AI技術分為設備上的AI和基於雲端的AI。設備上的 AI 領域佔據了市場主導地位，到 2024 年佔有 64% 的佔有率。直接在設備上處理資料可以減少將敏感資訊傳輸到外部伺服器的需要，從而增強隱私。這不僅確保了法規遵從性，而且還提高了即時應用程式的處理速度。裝置上的 AI 提高了健身追蹤、健康監測和語音命令應用程式的效能，使其成為尋求無縫、即時互動的用戶的首選。

市場還按組件進行細分，包括處理器、連接 IC 和感測器。處理器領域在 2024 年以 170 億美元的估值引領市場。人工智慧處理器透過提供即時分析和健康追蹤所需的運算能力，在改進穿戴式裝置方面發揮著至關重要的作用。這些處理器可以實現更快、更有效率的人工智慧演算法，支援下一代穿戴式裝置。輕量、節能的處理器可延長電池壽命，使設備更加方便用戶使用，並進一步推動市場成長。隨著人工智慧驅動的穿戴式裝置不斷發展，先進的處理器對於增強設備功能仍將發揮關鍵作用。

穿戴式人工智慧的應用涵蓋消費性電子、醫療保健、汽車、軍事和國防以及媒體和娛樂。預計預測期內消費性電子產品領域的複合年成長率最快，為 28.7%。隨著消費者尋求具有語音識別、導航和健康追蹤等先進功能的設備，對人工智慧智慧手錶和 AR 眼鏡的需求不斷成長，推動了這一成長。人工智慧整合增強了用戶體驗，使穿戴式裝置更加直覺和互動。隨著消費性電子領域的不斷擴大，穿戴式人工智慧將在日常生活中發揮更大的作用。

2024 年北美引領穿戴式 AI 市場，佔總佔有率的 34% 以上。由於糖尿病和心臟病等慢性疾病的發生率不斷上升，對醫療監測設備的需求也不斷增加。人工智慧穿戴裝置支援即時和預測監測，改善患者護理和醫療效率。隨著即時健康追蹤成為消費者和醫療專業人士的首要任務，北美對人工智慧穿戴裝置的採用預計將加速。

目錄

第 1 章：方法論與範圍

• 研究設計
  • 研究方法
  • 資料收集方法
• 基礎估算與計算
  • 基準年計算
  • 市場估計的主要趨勢
• 預測模型
• 初步研究和驗證
  • 主要來源
  • 資料探勘來源
• 市場範圍和定義

第 2 章：執行摘要

第 3 章：產業洞察

• 產業生態系統分析
  • 供應商概況
    • 原物料供應商
    • 零件供應商
    • 製造商
    • 技術提供者
    • 經銷商
    • 最終用戶
  • 利潤率分析
• 技術與創新格局
• 專利分析
• 監管格局
• 價格趨勢
• 衝擊力
  • 成長動力
    • 新興經濟體消費者可支配所得不斷提高
    • 智慧手錶銷售增加
    • 越來越重視健身和健康監測
    • 消費性電子產品的技術進步
    • 智慧型手機和網路普及率不斷提高
  • 產業陷阱與挑戰
    • 資料安全疑慮加劇
    • 穿戴式裝置成本高
• 成長潛力分析
• 波特的分析
• PESTEL 分析

第4章：競爭格局

• 介紹
• 公司市佔率分析
• 競爭定位矩陣
• 戰略展望矩陣

第 5 章：市場估計與預測：按產品，2021 - 2034 年

• 主要趨勢
• 智慧手錶
• 智慧眼鏡
• 智慧耳機
• 其他

第6章：市場估計與預測：按營運，2021 - 2034 年

• 主要趨勢
• 裝置上的 AI
• 基於雲端的人工智慧

第 7 章：市場估計與預測：按應用，2021 - 2034 年

• 主要趨勢
• 消費性電子產品
• 衛生保健
• 汽車
• 軍事和國防
• 媒體與娛樂
• 其他

第 8 章：市場估計與預測：按組件，2021 - 2034 年

• 主要趨勢
• 處理器
• 連接 IC
• 感應器

第 9 章：市場估計與預測：按最終用途，2021 - 2034 年

• 主要趨勢
• 個人消費者
• 醫療保健提供者
• 企業或公司用戶
• 政府和軍隊

第 10 章：市場估計與預測：按地區，2021 - 2034 年

• 主要趨勢
• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 英國
  • 德國
  • 法國
  • 義大利
  • 西班牙
  • 俄羅斯
  • 北歐
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 澳洲
  • 韓國
  • 東南亞
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 阿根廷
• 中東及非洲
  • 阿拉伯聯合大公國
  • 南非
  • 沙烏地阿拉伯

第 11 章：公司簡介

• Apple
• Microsoft
• Garmin
• OPPO
• SAMSUNG
• Meta
• Amazon
• Alphabet
• Lenovo
• Xiomi
• Sony
• Motorola
• Huawei
• Epson
• Motiv
• Bragi
• ProGlove
• WHOOP
• Tom Tom
• clime8

The Global Wearable AI Market was valued at USD 39.7 billion in 2024 and is projected to grow at a CAGR of 27.7% from 2025 to 2034. The increasing demand for personal health management tools is driving the expansion of AI-powered wearables. These devices provide continuous health monitoring, offering real-time data on heart rate, activity levels, and sleep patterns. The adoption of AI-integrated wearables is on the rise as users seek smarter ways to enhance their daily routines. The growing reliance on AI in daily life is shaping the future of wearable technology, with companies continuously advancing smart features for seamless user experiences. The integration of AI-driven analytics and real-time tracking is transforming personal health monitoring, fitness tracking, and even mental wellness. The expansion of 5G and the increasing number of AI-powered devices are key factors accelerating market growth.

The market is segmented into smart eyewear, smart earwear, smartwatches, and others. Smartwatches accounted for over 40% of the market in 2024 and are expected to surpass USD 190.7 billion by 2034. AI-enabled applications in smartwatches provide actionable insights, making them essential tools for tracking chronic conditions and supporting remote patient monitoring. AI advancements in these devices enhance real-time alerts and diagnostics, improving user engagement. As more consumers adopt AI-powered smartwatches, demand continues to grow for features that assist in managing health and fitness goals.

Wearable AI technology is categorized into on-device AI and cloud-based AI. The on-device AI segment dominated the market, holding a 64% share in 2024. Processing data directly on the device enhances privacy by reducing the need to transfer sensitive information to external servers. This not only ensures regulatory compliance but also boosts processing speed for real-time applications. On-device AI enhances performance across fitness tracking, health monitoring, and voice command applications, making it a preferred choice for users seeking seamless, instantaneous interactions.

The market is also segmented by components, including processors, connectivity ICs, and sensors. The processor segment led the market with a valuation of USD 17 billion in 2024. AI processors play a crucial role in improving wearables by delivering the computational power required for real-time analytics and health tracking. These processors enable faster, more efficient AI algorithms, supporting the next generation of wearables. Lightweight, energy-efficient processors extend battery life, making devices more user-friendly and further driving market growth. As AI-driven wearables continue to evolve, advanced processors will remain critical in enhancing device capabilities.

Applications of wearable AI span consumer electronics, healthcare, automotive, military and defense, and media and entertainment. The consumer electronics segment is expected to grow at the fastest CAGR of 28.7% during the forecast period. Increasing demand for AI-powered smartwatches and AR glasses is driving this growth as consumers seek devices with advanced features like voice recognition, navigation, and health tracking. AI integration enhances the user experience, making wearables more intuitive and interactive. As the consumer electronics sector continues to expand, wearable AI will play an even greater role in everyday life.

North America led the wearable AI market in 2024, capturing over 34% of the total share. The demand for healthcare monitoring devices is rising due to the increasing prevalence of chronic illnesses such as diabetes and heart disease. AI wearables support real-time and predictive monitoring, improving patient care and healthcare efficiency. The adoption of AI-powered wearables in North America is expected to accelerate as real-time health tracking becomes a priority for both consumers and medical professionals.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Research design
  • 1.1.1 Research approach
  • 1.1.2 Data collection methods
• 1.2 Base estimates & calculations
  • 1.2.1 Base year calculation
  • 1.2.2 Key trends for market estimation
• 1.3 Forecast model
• 1.4 Primary research and validation
  • 1.4.1 Primary sources
  • 1.4.2 Data mining sources
• 1.5 Market scope & definition

Chapter 2 Executive Summary

• 2.1 Industry 360⁰ synopsis, 2021 - 2034

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
  • 3.1.1 Supplier landscape
    • 3.1.1.1 Raw material suppliers
    • 3.1.1.2 Component suppliers
    • 3.1.1.3 Manufacturers
    • 3.1.1.4 Technology providers
    • 3.1.1.5 Distributors
    • 3.1.1.6 End users
  • 3.1.2 Profit margin analysis
• 3.2 Technology & innovation landscape
• 3.3 Patent analysis
• 3.4 Regulatory landscape
• 3.5 Price trend
• 3.6 Impact forces
  • 3.6.1 Growth drivers
    • 3.6.1.1 Rising disposable income of consumers in emerging economies
    • 3.6.1.2 Increasing sales of smart watches
    • 3.6.1.3 Growing focus on fitness and health monitoring
    • 3.6.1.4 Technological advancement in consumer electronics
    • 3.6.1.5 Increasing smartphone & internet penetration
  • 3.6.2 Industry pitfalls & challenges
    • 3.6.2.1 Rising data security concerns
    • 3.6.2.2 High cost associated with wearable devices
• 3.7 Growth potential analysis
• 3.8 Porter’s analysis
• 3.9 PESTEL analysis

Chapter 4 Competitive Landscape, 2024

• 4.1 Introduction
• 4.2 Company market share analysis
• 4.3 Competitive positioning matrix
• 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Product, 2021 - 2034 ($Bn, Units)

• 5.1 Key trends
• 5.2 Smartwatches
• 5.3 Smart eyewear
• 5.4 Smart earwear
• 5.5 Others

Chapter 6 Market Estimates & Forecast, By Operation, 2021 - 2034 ($Bn)

• 6.1 Key trends
• 6.2 On-device AI
• 6.3 Cloud-based AI

Chapter 7 Market Estimates & Forecast, By Application, 2021 - 2034 ($Bn, Units)

• 7.1 Key trends
• 7.2 Consumer electronics
• 7.3 Healthcare
• 7.4 Automotive
• 7.5 Military and defense
• 7.6 Media and entertainment
• 7.7 Others

Chapter 8 Market Estimates & Forecast, By Component, 2021 - 2034 ($Bn)

• 8.1 Key trends
• 8.2 Processor
• 8.3 Connectivity IC
• 8.4 Sensors

Chapter 9 Market Estimates & Forecast, By End Use, 2021 - 2034 ($Bn, Unit)

• 9.1 Key trends
• 9.2 Individual consumers
• 9.3 Healthcare providers
• 9.4 Enterprises or corporate users
• 9.5 Government & military

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn, Units)

• 10.1 Key trends
• 10.2 North America
  • 10.2.1 U.S.
  • 10.2.2 Canada
• 10.3 Europe
  • 10.3.1 UK
  • 10.3.2 Germany
  • 10.3.3 France
  • 10.3.4 Italy
  • 10.3.5 Spain
  • 10.3.6 Russia
  • 10.3.7 Nordics
• 10.4 Asia Pacific
  • 10.4.1 China
  • 10.4.2 India
  • 10.4.3 Japan
  • 10.4.4 Australia
  • 10.4.5 South Korea
  • 10.4.6 Southeast Asia
• 10.5 Latin America
  • 10.5.1 Brazil
  • 10.5.2 Mexico
  • 10.5.3 Argentina
• 10.6 MEA
  • 10.6.1 UAE
  • 10.6.2 South Africa
  • 10.6.3 Saudi Arabia

Chapter 11 Company Profiles

• 11.1 Apple
• 11.2 Microsoft
• 11.3 Garmin
• 11.4 OPPO
• 11.5 SAMSUNG
• 11.6 Meta
• 11.7 Amazon
• 11.8 Alphabet
• 11.9 Lenovo
• 11.10 Xiomi
• 11.11 Sony
• 11.12 Motorola
• 11.13 Huawei
• 11.14 Epson
• 11.15 Motiv
• 11.16 Bragi
• 11.17 ProGlove
• 11.18 WHOOP
• 11.19 Tom Tom
• 11.20 clime8