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市場調查報告書
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1961854

全球行動人工智慧（AI）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 152 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

預計到 2034 年，行動人工智慧 (AI) 市場規模將達到 1,472.4 億美元，高於 2025 年的 143 億美元，預計從 2026 年到 2034 年的複合年成長率將達到 29.57%。

隨著機器學習和資料處理能力的不斷進步持續重塑行動環境，行動人工智慧 (AI) 市場即將迎來爆發性成長。智慧型手機和行動裝置的普及，使得能夠提升用戶體驗的 AI 應用需求激增。行動 AI 技術使設備能夠執行影像識別、自然語言處理和預測分析等複雜任務，即使在行動硬體的限制下也能有效運作。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。透過在更靠近資料來源的位置進行資料處理，邊緣運算能夠降低延遲，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，尤其有利於擴增實境（AR）、遊戲和自動導航等應用。隨著行動裝置處理人工智慧工作負載的能力不斷增強，我們預計利用這些技術來增強功能和提升用戶參與度的創新應用市場將會爆發式成長。

此外，人們對資料隱私和安全的日益關注正在重塑行動人工智慧的格局。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。開發人員正致力於建立能夠以最少的數據高效運行並提供有價值洞察的人工智慧模型，同時確保符合監管要求。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，從而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。

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 Mobile Artificial Intelligence (AI) Market size is expected to reach USD 147.24 Billion in 2034 from USD 14.30 Billion (2025) growing at a CAGR of 29.57% 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 meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

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

We can customise the report as per your requriements

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 South East Asia
    • 7.5.9 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