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市场调查报告书
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1961854

全球行动人工智慧（AI）市场规模、份额、趋势和成长分析报告（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个工作天内

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简介目录

预计到 2034 年，行动人工智慧 (AI) 市场规模将达到 1,472.4 亿美元，高于 2025 年的 143 亿美元，预计从 2026 年到 2034 年的复合年增长率将达到 29.57%。

随着机器学习和资料处理能力的不断进步持续重塑行动环境，行动人工智慧 (AI) 市场即将迎来爆发性成长。智慧型手机和行动装置的普及，使得能够提升用户体验的 AI 应用需求激增。行动 AI 技术使设备能够执行影像识别、自然语言处理和预测分析等复杂任务，即使在行动硬体的限制下也能有效运作。随着消费者对个人化和直觉体验的需求日益增长，将 AI 整合到行动应用中将成为开发者和品牌脱颖而出的关键因素。

此外，边缘运算的兴起正对行动人工智慧市场产生重大影响。透过在更靠近资料来源的位置进行资料处理，边缘运算能够降低延迟，并提升行动装置上人工智慧应用的效能。这种转变使得即时决策和分析成为可能，尤其有利于扩增实境（AR）、游戏和自动导航等应用。随着行动装置处理人工智慧工作负载的能力不断增强，我们预计利用这些技术来增强功能和提升用户参与度的创新应用市场将会爆发式成长。

此外，人们对资料隐私和安全的日益关注正在重塑行动人工智慧的格局。随着消费者越来越意识到资料收集和使用的影响，迫切需要优先考虑使用者隐私的人工智慧解决方案。开发人员正致力于建立能够以最少的数据高效运行并提供有价值洞察的人工智慧模型，同时确保符合监管要求。随着行动人工智慧市场的不断发展，相关人员必须密切关註消费者的担忧和监管趋势，从而在最大限度地发挥人工智慧潜力的同时，维护与用户的信任和透明度。

目录

第一章：引言

第二章执行摘要

第三章 市场变数、趋势与框架

  • 市场谱系展望
  • 渗透率和成长前景分析
  • 价值链分析
  • 法律规范
    • 标准与合规性
    • 监管影响分析
  • 市场动态
    • 市场驱动因素
    • 市场限制因素
    • 市场机会
    • 市场挑战
  • 波特五力分析
  • PESTLE分析

第四章：全球行动人工智慧（AI）市场：按技术划分

  • 市场分析、洞察与预测
  • 5nm-10nm
  • 11nm-20nm
  • 20奈米或以上

第五章：全球行动人工智慧（AI）市场：按组件划分

  • 市场分析、洞察与预测
  • 硬体
  • 软体
  • 服务

第六章：全球行动人工智慧（AI）市场：按应用领域划分

  • 市场分析、洞察与预测
  • 智慧型手机
  • 无人机
  • 车
  • 相机
  • 机器人技术
  • 扩增实境（AR）
  • 虚拟实境（VR）
  • 其他的

第七章 全球行动人工智慧（AI）市场：按地区划分

  • 区域分析
  • 北美市场分析、洞察与预测
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲市场分析、洞察与预测
    • 英国
    • 法国
    • 德国
    • 义大利
    • 俄罗斯
    • 其他欧洲国家
  • 亚太市场分析、洞察与预测
    • 印度
    • 日本
    • 韩国
    • 澳洲
    • 东南亚
    • 其他亚太国家
  • 拉丁美洲市场分析、洞察与预测
    • 巴西
    • 阿根廷
    • 秘鲁
    • 智利
    • 其他拉丁美洲国家
  • 中东和非洲市场分析、洞察与预测
    • 沙乌地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中东和非洲国家

第八章 竞争情势

  • 最新趋势
  • 公司分类
  • 供应链和销售管道合作伙伴（根据现有资讯）
  • 市场占有率和市场定位分析（基于现有资讯）
  • 供应商情况（基于现有资讯）
  • 策略规划

第九章：公司简介

  • 主要公司的市占率分析
  • 公司简介
    • 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
简介目录
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