設備內人工智慧市場規模、佔有率和成長分析：按組件、部署模式、技術、設備、產業和地區分類－2026-2033年產業預測

2024 年全球設備端人工智慧市場價值為 102 億美元，預計到 2025 年將成長至 130.4 億美元，到 2033 年將成長至 927.6 億美元，在預測期（2026-2033 年）內複合年成長率為 27.8%。

全球設備端人工智慧市場已從利基概念轉變為主流必需品，這主要得益於終端用戶對低延遲、注重隱私的智慧解決方案的需求。該領域涵蓋處理器、最佳化模型和軟體，能夠支援智慧型手機、穿戴式裝置、工業感測器和汽車等設備進行本地推理，從而最大限度地減少對雲端伺服器的依賴。本地執行能夠實現語音和視覺任務的即時互動，增強資料安全性並降低服務供應商的營運成本。模型壓縮和專用硬體的技術進步實現了離線功能，為擴增實境(AR)、健康監測和自主導航等即時應用創造了機會。此外，與物聯網的整合正在推動低功耗功能的發展，提高部署效率，拓展應用場景，並為晶片和開發者工具建立更強大的生態系統。

全球設備端人工智慧市場的成長要素

全球設備端人工智慧市場正在蓬勃發展，這主要得益於邊緣設備的日益普及，而邊緣設備的普及又反過來增加了對本地處理的需求。隨著智慧感測器、穿戴式裝置和各種智慧家庭設備的廣泛應用，直接在硬體上進行推理的能力至關重要，這有助於減少對遠端伺服器的依賴，並提高回應速度。這一趨勢與人們對資料隱私日益成長的期望以及在不穩定連接環境下仍需可靠性能的需求相契合，促使製造商和開發人員採用最佳化的設備端模型。因此，隨著邊緣賦能產品範圍的擴大，對設備端人工智慧解決方案的投資和應用也顯著增加。

全球設備端人工智慧市場面臨的限制因素

全球設備端人工智慧市場面臨諸多挑戰，包括許多終端設備的處理能力和功耗限制導致可部署模型的複雜性和規模受限。這些限制阻礙了設備端人工智慧解決方案的廣泛應用。設計人員必須在性能、散熱效率和電池續航時間之間尋求微妙的平衡，這往往導致演算法簡化或採用專用加速器，從而增加成本和設計複雜性。此類技術權衡延長了產品開發週期，阻礙了製造商整合先進的設備端功能，並最終限制了市場成長，直到更有效率的硬體和最佳化的軟體框架出現為止。

全球設備端人工智慧市場趨勢

全球設備端人工智慧市場正經歷著向情境感知個人化方向的顯著轉變，設備越來越能夠進行本地即時推理。這種轉變使得使用者能夠根據個人行為和環境因素獲得個人化的體驗，同時最大限度地降低延遲和對始終在線連接的依賴。各公司正積極投資於緊湊型人工智慧模型和先進的學習技術，以便在無需與伺服器互動的情況下安全地更新使用者設定檔。因此，這一趨勢正在推動包括消費性電子、穿戴式裝置和汽車技術在內的各個領域的產品差異化，製造商們正努力提供無縫的、情境感知的功能，以滿足日益成長的隱私和信任需求。

目錄

介紹

• 調查目的
• 市場定義和範圍

調查方法

• 研究過程
• 二級資料和一級資料的方法
• 市場規模估算方法

執行摘要

• 全球市場展望
• 市場主要亮點
• 細分市場概覽
• 競爭環境概述

市場動態及展望

• 總體經濟指標
• 促進者和機會
• 抑制因素和挑戰
• 供給面趨勢
• 需求面趨勢
• 波特的分析和影響

關鍵市場分析

• 關鍵成功因素
• 影響市場的因素
• 主要投資機會
• 生態系測繪
• 2025年市場魅力指數
• PESTLE分析
• 監理情勢
• 技術分析
• 案例研究
• 專利分析

全球設備內人工智慧市場規模：按組件分類

• 硬體
• 軟體

全球設備內人工智慧市場規模：以部署方式分類

• 雲
• 現場

全球設備內人工智慧市場規模：按技術分類

• 機器學習
• 自然語言處理
• 電腦視覺
• 語音辨識
• 其他

全球設備內人工智慧市場規模：按設備類型分類

• 智慧型手機和平板電腦
• 穿戴式裝置
• 智慧家庭設備
• 車
• 其他

全球設備內人工智慧市場規模：按產業分類

• 家用電子產品
• 衛生保健
• 零售
• 製造業
• 其他

全球設備內人工智慧市場規模：按地區分類

• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 西班牙
  • 法國
  • 英國
  • 義大利
  • 其他歐洲國家
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 其他亞太國家
• 拉丁美洲
  • 墨西哥
  • 巴西
  • 其他拉丁美洲國家
• 中東和非洲
  • 海灣合作理事會國家
  • 南非
  • 其他中東和非洲國家

競爭資訊

• 前五大公司對比
• 主要企業2025年的市場定位
• 主要市場公司採取的策略
• 近期市場趨勢
• 企業市場占有率分析，2025 年
• 主要企業的完整公司簡介
  • 公司詳情
  • 產品系列分析
  • 按細分市場進行企業市佔率分析
  • 銷售收入年比比較（2023-2025 年）

主要企業簡介

• Apple Inc.
• Google LLC
• Microsoft
• Amazon.com, Inc.
• Intel Corporation
• NVIDIA Corporation
• Qualcomm Technologies, Inc.
• Baidu, Inc.
• Arm Limited
• Huawei Technologies Co., Ltd.
• IBM Corporation
• Samsung Electronics Co., Ltd.
• AMD（Advanced Micro Devices）
• Trend Micro Incorporated
• MediaTek Inc.
• Texas Instruments Incorporated
• C3.ai, Inc.
• UiPath Inc.
• OpenAI
• SenseTime Group Inc.

結論與建議

Global On-Device Ai Market size was valued at USD 10.2 Billion in 2024 and is poised to grow from USD 13.04 Billion in 2025 to USD 92.76 Billion by 2033, growing at a CAGR of 27.8% during the forecast period (2026-2033).

The global on-device AI market has transitioned from a specialized concept to a mainstream necessity driven by the demand for low-latency, privacy-centric intelligence at endpoints. This sector encompasses processors, optimized models, and software that enable local inference on devices such as smartphones, wearables, industrial sensors, and vehicles, minimizing reliance on cloud servers. Local execution facilitates instantaneous interactions for voice and vision tasks, enhancing data security while reducing operational costs for service providers. Technological advancements in model compression and specialized hardware have made offline functionalities viable, leading to opportunities in real-time applications like augmented reality, health monitoring, and autonomous navigation. Additionally, IoT integration is enhancing this market by fostering low-power capabilities, improving deployment efficiency, and expanding use cases, thereby creating a more robust ecosystem for silicon and developer tools.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global On-Device Ai market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global On-Device Ai Market Segments Analysis

Global on-device ai market is segmented by component, deployment, technology, device, vertical and region. Based on component, the market is segmented into Hardware and Software. Based on deployment, the market is segmented into Cloud and On-Premise. Based on technology, the market is segmented into Machine Learning, Natural Language Processing, Computer Vision, Speech Recognition and Others. Based on device, the market is segmented into Smartphones & Tablets, Wearables, Smart Home Devices, Automotive and Others. Based on vertical, the market is segmented into Consumer Electronics, Healthcare, Retail, Manufacturing and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global On-Device Ai Market

The growth of the Global On-Device AI market is driven by the increasing prevalence of edge devices, which heightens the need for localized processing. The rise in the use of smart sensors, wearables, and various connected appliances necessitates the capability to perform inference directly on hardware, thereby diminishing dependence on remote servers and enhancing responsiveness. This trend also aligns with heightened expectations for data privacy and the ability to function reliably amidst fluctuating connectivity, encouraging manufacturers and developers to incorporate optimized on-device models. As a result, the growing array of edge-capable products significantly boosts investments in and the implementation of on-device artificial intelligence solutions.

Restraints in the Global On-Device Ai Market

The Global On-Device AI market faces significant challenges due to the limited processing power and energy constraints of many end devices, which restrict the complexity and size of deployable models. This limitation hinders the widespread implementation of on-device AI solutions. Designers must navigate a delicate balance between performance, thermal efficiency, and battery longevity, often leading to the simplification of algorithms or the adoption of specialized accelerators that elevate costs and design intricacy. Such technical trade-offs can prolong product development timelines and discourage manufacturers from incorporating advanced on-device functionalities, ultimately constraining market growth until more efficient hardware and optimized software frameworks are accessible.

Market Trends of the Global On-Device Ai Market

The Global On-Device AI market is experiencing a significant trend towards contextual personalization, where devices are increasingly capable of performing real-time inference locally. This shift allows for personalized user experiences that adapt based on individual behavior and environmental factors while minimizing latency and reliance on continuous connectivity. Companies are actively investing in compact AI models and advanced learning techniques to ensure profiles can be updated securely without necessitating server interaction. Consequently, this trend is enhancing product differentiation across various sectors, including consumer electronics, wearables, and automotive technologies, as manufacturers strive to deliver seamless, context-aware functionalities that meet growing demands for privacy and reliability.

Table of Contents

Introduction

• Objectives of the Study
• Market Definition & Scope

Research Methodology

• Research Process
• Secondary & Primary Data Methods
• Market Size Estimation Methods

Executive Summary

• Global Market Outlook
• Key Market Highlights
• Segmental Overview
• Competition Overview

Market Dynamics & Outlook

• Macro-Economic Indicators
• Drivers & Opportunities
• Restraints & Challenges
• Supply Side Trends
• Demand Side Trends
• Porters Analysis & Impact
  • Competitive Rivalry
  • Threat of Substitute
  • Bargaining Power of Buyers
  • Threat of New Entrants
  • Bargaining Power of Suppliers

Key Market Insights

• Key Success Factors
• Market Impacting Factors
• Top Investment Pockets
• Ecosystem Mapping
• Market Attractiveness Index 2025
• PESTEL Analysis
• Regulatory Landscape
• Technology Analysis
• Case Studies
• Patent Analysis

Global On-device AI Market Size by Component & CAGR (2026-2033)

• Market Overview
• Hardware
• Software

Global On-device AI Market Size by Deployment & CAGR (2026-2033)

• Market Overview
• Cloud
• On-Premise

Global On-device AI Market Size by Technology & CAGR (2026-2033)

• Market Overview
• Machine Learning
• Natural Language Processing
• Computer Vision
• Speech Recognition
• Others

Global On-device AI Market Size by Device & CAGR (2026-2033)

• Market Overview
• Smartphones & Tablets
• Wearables
• Smart Home Devices
• Automotive
• Others

Global On-device AI Market Size by Vertical & CAGR (2026-2033)

• Market Overview
• Consumer Electronics
• Healthcare
• Retail
• Manufacturing
• Others

Global On-device AI Market Size & CAGR (2026-2033)

• North America (Component, Deployment, Technology, Device, Vertical)
  • US
  • Canada
• Europe (Component, Deployment, Technology, Device, Vertical)
  • Germany
  • Spain
  • France
  • UK
  • Italy
  • Rest of Europe
• Asia Pacific (Component, Deployment, Technology, Device, Vertical)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Latin America (Component, Deployment, Technology, Device, Vertical)
  • Mexico
  • Brazil
  • Rest of Latin America
• Middle East & Africa (Component, Deployment, Technology, Device, Vertical)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2025
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2025
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2023-2025)

Key Company Profiles

• Apple Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Google LLC
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Amazon.com, Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Intel Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• NVIDIA Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Qualcomm Technologies, Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Baidu, Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Arm Limited
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Huawei Technologies Co., Ltd.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• IBM Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Samsung Electronics Co., Ltd.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• AMD (Advanced Micro Devices)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Trend Micro Incorporated
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• MediaTek Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Texas Instruments Incorporated
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• C3.ai, Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• UiPath Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• OpenAI
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SenseTime Group Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendations