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市場調查報告書
商品編碼
2110207

行動人工智慧（AI）全球市場規模、佔有率、趨勢和成長分析報告（2026-2034）

Global Mobile Artificial Intelligence (AI) Market Size, Share, Trends & Growth Analysis Report 2026-2034
出版日期: | 出版商: Value Market Research | 英文 189 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

全球行動人工智慧 (AI) 市場預計將從 2025 年的 265.6 億美元成長至 2034 年的 1,646.2 億美元，2026 年至 2034 年的複合年成長率 (CAGR) 為 22.47%。隨著機器學習和資料處理能力的不斷進步持續變革行動產業，行動 AI 市場正處於爆發式成長的邊緣。智慧型手機和行動裝置的普及，對能夠提升用戶體驗的 AI 應用的需求激增。行動 AI 技術使設備能夠在行動硬體的限制下高效運行，並執行影像識別、自然語言處理和預測分析等複雜任務。隨著消費者對個人化和直覺體驗的需求日益成長，將 AI 整合到行動應用中將成為開發者和品牌脫穎而出的關鍵因素。

此外，邊緣運算的興起正對行動人工智慧市場產生重大影響。邊緣運算透過在更靠近資料來源的位置處理數據，降低延遲並提升行動裝置上人工智慧應用的效能。這種轉變使得即時決策和分析成為可能，尤其在擴增實境（AR）、遊戲和自動導航等應用中優勢顯著。隨著行動裝置處理人工智慧工作負載的能力不斷增強，我們可以預見，利用這些技術來提升功能和用戶參與度的創新應用市場將迎來爆發式成長。

此外，人們對資料隱私和安全的日益關注正在影響行動人工智慧的發展趨勢。隨著消費者越來越意識到資料收集和使用的影響，迫切需要優先考慮使用者隱私的人工智慧解決方案。開發人員越來越專注於建立能夠以最少的數據高效運行、確保合規性並提供有價值洞察的人工智慧模型。隨著行動人工智慧市場的不斷發展，相關人員必須密切關注消費者的擔憂和監管趨勢，並做好準備，在最大限度地發揮人工智慧潛力的同時，維護與用戶的信任和透明度。

我們的報告經過精心撰寫，旨在提供涵蓋廣泛行業和市場的全面且切實可行的洞察。每份報告都包含幾個關鍵組成部分，旨在幫助您全面了解市場環境：

市場概覽：本節對市場進行了清晰的說明，包括關鍵定義、分類以及當前行業格局的概述。

市場動態：本節詳細評估影響市場成長的主要促進因素、限制因素、機會和挑戰。內容涵蓋技術發展、法律規範和不斷變化的行業趨勢等因素。

市場區隔分析：本部分依據產品類型、應用、最終使用者和地區，將市場系統性地分類為若干關鍵細分市場。本部分揭示了每個細分市場的表現、成長潛力和市場貢獻。

競爭格局：我們對主要市場參與企業進行了詳細評估，包括其市場定位、產品系列、策略舉措和財務表現。這有助於深入了解競爭趨勢和主要參與者所採取的策略。

市場預測：本部分提供基於數據的市場規模和成長模式預測，預測期為指定時期。它綜合考慮了歷史趨勢、當前市場狀況和定量分析，以識別預期的未來趨勢。

區域分析：這包括對主要地理區域的市場表現進行全面檢驗，確定高成長領域和區域趨勢，以更深入地了解每個區域特有的市場機會。

新趨勢與新機會：識別關鍵市場趨勢、技術進步和新興投資機會。本部分重點在於潛在成長領域和未來產業趨勢。

客製化選項：我們提供靈活的報告客製化服務，以滿足您的特定需求。這包括額外的細分、國家/地區分析、競爭對手分析、客製化資料點或針對特定細分市場的洞察，以更好地支援您的策略決策。

目錄

第1章：引言

第2章執行摘要

第3章 市場變數、趨勢與框架

  • 市場譜系展望
  • 滲透率和成長前景分析
  • 價值鏈分析
  • 法律規範
    • 標準與合規性
    • 監管影響分析
  • 市場動態
    • 市場促進因素
    • 市場限制因素
    • 市場機遇
    • 市場挑戰
  • 波特五力分析
  • PESTLE分析

第4章：全球行動人工智慧（AI）市場：按技術分類

  • 市場分析、洞察與預測
  • 5nm～10nm
  • 11nm～20nm
  • 20奈米或以上

第5章：全球行動人工智慧（AI）市場：按組件分類

  • 市場分析、洞察與預測
  • 硬體
  • 軟體
  • 服務

第6章：全球行動人工智慧（AI）市場：按應用領域分類

  • 市場分析、洞察與預測
  • 智慧型手機
  • 無人機
  • 車
  • 相機
  • 機器人技術
  • 擴增實境（AR）
  • 虛擬實境（VR）
  • 其他

第7章 全球行動人工智慧（AI）市場：按地區分類

  • 區域分析
  • 北美市場分析、洞察與預測
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲市場分析、洞察與預測
    • 英國
    • 法國
    • 德國
    • 義大利
    • 俄羅斯
    • 其他歐洲國家
  • 亞太市場分析、洞察與預測
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 東南亞
    • 其他亞太國家
  • 拉丁美洲市場分析、洞察與預測
    • 巴西
    • 阿根廷
    • 秘魯
    • 智利
    • 其他拉丁美洲國家
  • 中東和非洲市場分析、洞察與預測
    • 沙烏地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中東和非洲國家

第8章 競爭情勢

  • 最新趨勢
  • 公司分類
  • 供應鏈和銷售管道合作夥伴（根據現有資訊）
  • 市場佔有率和市場定位分析（基於現有資訊）
  • 供應商情況（基於現有資訊）
  • 策略規劃

第9章：公司簡介

  • 主要公司的市佔率分析
  • 公司簡介
    • Huawei Technologies Co. Ltd
    • Samsung
    • Qualcomm Technologies Inc
    • Intel Corporation
    • NVIDIA Corporation
    • AYASDI AI LLC
    • Baidu Inc
    • ClariFI Inc
    • Cyrcadia Health
    • Enlitic Inc
    • Apple Inc
    • IBM
    • Microsoft
    • Imagination Technologies Ltd
    • Graphcore
簡介目錄
Product Code: VMR112114507

The global mobile artificial intelligence (AI) market size is expected to reach USD 164.62 Billion in 2034 from USD 26.56 Billion in 2025, growing at a CAGR of 22.47 during 2026-2034.The mobile artificial intelligence (AI) market is on the cusp of explosive growth as advancements in machine learning and data processing capabilities continue to reshape the mobile landscape. With the proliferation of smartphones and mobile devices, the demand for AI-driven applications that enhance user experiences is skyrocketing. Mobile AI technologies enable devices to perform complex tasks such as image recognition, natural language processing, and predictive analytics, all while operating efficiently within the constraints of mobile hardware. As consumers increasingly seek personalized and intuitive experiences, the integration of AI into mobile applications will become a key differentiator for developers and brands alike.

Moreover, the rise of edge computing is significantly impacting the mobile AI market. By processing data closer to the source, edge computing reduces latency and enhances the performance of AI applications on mobile devices. This shift allows for real-time decision-making and analysis, which is particularly beneficial in applications such as augmented reality, gaming, and autonomous navigation. As mobile devices become more capable of handling AI workloads, the market is likely to see a surge in innovative applications that leverage these technologies to deliver enhanced functionality and user engagement.

Additionally, the growing emphasis on data privacy and security is shaping the mobile AI landscape. As consumers become more aware of the implications of data collection and usage, there is a pressing need for AI solutions that prioritize user privacy. Developers are increasingly focusing on creating AI models that can operate effectively with minimal data, ensuring compliance with regulations while still delivering valuable insights. As the mobile AI market evolves, stakeholders must remain attuned to consumer concerns and regulatory developments, positioning themselves to harness the full potential of AI while maintaining trust and transparency with users.

Our reports are carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

MARKET SEGMENTATION

By Technology

  • 5nm-10nm
  • 11nm-20nm
  • Above 20nm

By Components

  • Hardware
  • Software
  • Services

By Application

  • Smartphones
  • Drones
  • Automotive
  • Cameras
  • Robotics
  • Augmented Reality (AR)
  • Virtual Reality (VR)
  • Others

COMPANIES PROFILED

  • Huawei Technologies Co. Ltd., Samsung, Qualcomm Technologies Inc., Intel Corporation, NVIDIA Corporation, AYASDI AI LLC, Baidu Inc., ClariFI Inc., Cyrcadia Health, Enlitic Inc., Apple Inc., IBM, Microsoft, Imagination Technologies Ltd, Graphcore

TABLE OF CONTENTS

Chapter 1. PREFACE

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1 Information Analysis
    • 1.3.2 Market Formulation & Data Visualization
    • 1.3.3 Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

  • 2.1. Market Snapshot
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

  • 3.1. Market Lineage Outlook
  • 3.2. Penetration & Growth Prospect Mapping
  • 3.3. Value Chain Analysis
  • 3.4. Regulatory Framework
    • 3.4.1 Standards & Compliance
    • 3.4.2 Regulatory Impact Analysis
  • 3.5. Market Dynamics
    • 3.5.1 Market Drivers
    • 3.5.2 Market Restraints
    • 3.5.3 Market Opportunities
    • 3.5.4 Market Challenges
  • 3.6. Porter's Five Forces Analysis
  • 3.7. PESTLE Analysis

Chapter 4. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Technology
  • 4.2. 5nm-10nm Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. 11nm-20nm Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.4. Above 20nm Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET: BY COMPONENTS 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Components
  • 5.2. Hardware Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.4. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET: BY APPLICATION 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast Application
  • 6.2. Smartphones Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. Drones Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.4. Automotive Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.5. Cameras Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.6. Robotics Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.7. Augmented Reality (AR) Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.8. Virtual Reality (VR) Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.9. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET: BY REGION 2022-2034 (USD MN)

  • 7.1. Regional Outlook
  • 7.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.2.1 By Technology
    • 7.2.2 By Components
    • 7.2.3 By Application
    • 7.2.4 United States
    • 7.2.5 Canada
    • 7.2.6 Mexico
  • 7.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.3.1 By Technology
    • 7.3.2 By Components
    • 7.3.3 By Application
    • 7.3.4 United Kingdom
    • 7.3.5 France
    • 7.3.6 Germany
    • 7.3.7 Italy
    • 7.3.8 Russia
    • 7.3.9 Rest Of Europe
  • 7.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.4.1 By Technology
    • 7.4.2 By Components
    • 7.4.3 By Application
    • 7.4.4 India
    • 7.4.5 Japan
    • 7.4.6 South Korea
    • 7.4.7 Australia
    • 7.4.8 South East Asia
    • 7.4.9 Rest Of Asia Pacific
  • 7.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.5.1 By Technology
    • 7.5.2 By Components
    • 7.5.3 By Application
    • 7.5.4 Brazil
    • 7.5.5 Argentina
    • 7.5.6 Peru
    • 7.5.7 Chile
    • 7.5.8 Rest of Latin America
  • 7.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.6.1 By Technology
    • 7.6.2 By Components
    • 7.6.3 By Application
    • 7.6.4 Saudi Arabia
    • 7.6.5 UAE
    • 7.6.6 Israel
    • 7.6.7 South Africa
    • 7.6.8 Rest of the Middle East And Africa

Chapter 8. COMPETITIVE LANDSCAPE

  • 8.1. Recent Developments
  • 8.2. Company Categorization
  • 8.3. Supply Chain & Channel Partners (based on availability)
  • 8.4. Market Share & Positioning Analysis (based on availability)
  • 8.5. Vendor Landscape (based on availability)
  • 8.6. Strategy Mapping

Chapter 9. COMPANY PROFILES OF GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) INDUSTRY

  • 9.1. Top Companies Market Share Analysis
  • 9.2. Company Profiles
    • 9.2.1 Huawei Technologies Co. Ltd
    • 9.2.2 Samsung
    • 9.2.3 Qualcomm Technologies Inc
    • 9.2.4 Intel Corporation
    • 9.2.5 NVIDIA Corporation
    • 9.2.6 AYASDI AI LLC
    • 9.2.7 Baidu Inc
    • 9.2.8 ClariFI Inc
    • 9.2.9 Cyrcadia Health
    • 9.2.10 Enlitic Inc
    • 9.2.11 Apple Inc
    • 9.2.12 IBM
    • 9.2.13 Microsoft
    • 9.2.14 Imagination Technologies Ltd
    • 9.2.15 Graphcore