首页 > 市场调查报告书 > 通讯

人工智能

市场调查报告书

商品编码

1781407

全球行动人工智慧 (AI) 市场研究报告 - 产业分析、规模、份额、成长、趋势及 2025 年至 2033 年预测

Global Mobile Artificial Intelligence (AI) Market Research Report- Industry Analysis, Size, Share, Growth, Trends and Forecast 2025 to 2033

出版日期: 2025年08月01日 | 出版商:

Value Market Research | 英文 142 Pages | 商品交期: 最快1-2个工作天内

价格

简介目录图表

全球行动人工智慧 (AI) 市场规模预计将从 2024 年的 110.4 亿美元成长到 2033 年的 1,136 亿美元，在 2026 年至 2033 年的预测期内，年复合成长率(CAGR) 将达到 29.57%。

随着机器学习和资料处理能力的进步不断重塑行动领域格局，行动人工智慧 (AI) 市场正处于爆炸性成长的风口浪尖。随着智慧型手机和行动装置的普及，对能够提升用户体验的 AI 驱动应用的需求也随之飙升。行动 AI 技术使设备能够执行影像辨识、自然语言处理和预测分析等复杂任务，同时还能在有限的行动硬体条件下高效运作。随着消费者日益追求个人化和直觉的体验，将 AI 融入行动应用将成为开发者和品牌的关键差异化因素。

此外，边缘运算的兴起正在显着影响行动人工智慧市场。透过在更靠近源头的地方处理资料，边缘运算可以降低延迟并提升行动装置上人工智慧应用的效能。这种转变允许即时决策和分析，这对于扩增实境、游戏和自主导航等应用尤其有益。随着行动装置处理人工智慧工作负载的能力不断增强，市场可能会迎来大量利用这些技术来提供增强功能和使用者参与度的创新应用。

此外，对资料隐私和安全日益增长的重视正在塑造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。开发人员越来越注重创建能够以最少资料有效运行的人工智慧模型，确保符合法规要求，同时仍能提供有价值的洞察。随着行动人工智慧市场的发展，利害关係人必须时刻关註消费者的担忧和监管动态，在充分发挥人工智慧潜力的同时，保持与用户的信任和透明度。

我们的报告经过精心设计，旨在为客户提供关于各个行业和市场的全面且切实可行的洞察。每份报告都包含几个关键部分，以确保客户全面了解市场格局：

市场概览：市场的详细介绍，包括定义、分类和行业现状概述。

市场动态：深入分析影响市场成长的关键驱动因素、限制因素、机会与挑战。本部分探讨技术进步、监管变化和新兴趋势等因素。

細項分析：根据产品类型、应用、最终用户和地理位置等标准，将市场细分为不同的细分市场。此分析重点在于突出每个细分市场的表现和潜力。

竞争格局：对主要市场参与者的全面评估，包括其市场份额、产品组合、策略倡议和财务表现。本部分深入分析了竞争态势以及领先公司采用的关键策略。

市场预测：根据历史资料和当前市场状况，对特定时期的市场规模和成长趋势进行预测。这包括定量分析和图形表示，以说明未来的市场发展轨迹。

区域分析：评估不同地理区域的市场表现，确定关键市场和区域趋势。这有助于了解区域市场动态和机会。

新兴趋势与机会：识别当前及新兴市场趋势、技术创新以及潜在投资领域。本部分将深入探讨未来市场发展与成长前景。

区域展望
介绍
北美销售分析
- 概述、历史和预测数据销售分析
- 北美各细分市场销售分析
- 北美各国销售分析
- 美国销售分析
- 加拿大销售分析
- 墨西哥销售分析
欧洲销售分析
- 概述、历史和预测数据销售分析
- 欧洲各细分市场销售分析
- 欧洲各国销售分析
- 英国销售分析
- 法国销售分析
- 德国销售分析
- 义大利销售分析
- 俄罗斯销售分析
- 欧洲其他地区销售分析
亚太地区销售分析
- 概述、历史和预测数据销售分析
- 亚太地区分部销售分析
- 亚太地区国家销售分析
- 中国销售分析
- 印度销售分析
- 日本销售分析
- 韩国销售分析
- 澳洲销售分析
- 东南亚销售分析
- 亚太地区其他地区销售分析
拉丁美洲销售分析
- 概述、历史和预测数据销售分析
- 拉丁美洲各细分市场销售分析
- 拉丁美洲各国销售分析
- 巴西销售分析
- 阿根廷销售分析
- 秘鲁销售分析
- 智利销售分析
- 拉丁美洲其他地区销售分析
中东和非洲销售分析
- 概述、历史和预测数据销售分析
- 中东和非洲分部销售分析
- 中东和非洲国家销售分析
- 沙乌地阿拉伯销售分析
- 阿联酋销售分析
- 以色列销售分析
- 南非销售分析
- 中东和非洲其他地区销售分析

第九章：行动人工智慧（AI）公司的竞争格局

行动人工智慧（AI）市场竞争
合作/协作/协议
合併与收购
新产品发布
其他发展

第十章：公司简介

顶级公司市占率分析
市场集中度
Huawei Technologies Co. Ltd.

公司概况
公司收入
产品
最新动态

Samsung

公司概况
公司收入
产品
最新动态

Qualcomm Technologies Inc.

公司概况
公司收入
产品
最新动态

Intel Corporation

公司概况
公司收入
产品
最新动态

NVIDIA Corporation

公司概况
公司收入
产品
最新动态

AYASDI AI LLC

公司概况
公司收入
产品
最新动态

Baidu Inc.

公司概况
公司收入
产品
最新动态

ClariFI Inc.

公司概况
公司收入
产品
最新动态

Cyrcadia Health

公司概况
公司收入
产品
最新动态

Enlitic Inc.

公司概况
公司收入
产品
最新动态

Apple Inc.

公司概况
公司收入
产品
最新动态

公司概况
公司收入
产品
最新动态

Microsoft

公司概况
公司收入
产品
最新动态

Imagination Technologies Ltd

公司概况
公司收入
产品
最新动态

Graphcore

公司概况
公司收入
产品
最新动态

注意 - 在公司简介中，财务细节和最新发展取决于可用性，对于私人公司，可能不予涵盖

简介目录图表

Product Code: VMR112114507

Global Mobile Artificial Intelligence (AI) Market size is anticipated to grow from USD 11.04 Billion in 2024 to USD 113.6 Billion by 2033, showcasing a robust Compound Annual Growth Rate (CAGR) of 29.57% during the forecast period of 2026 to 2033.

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.

SEGMENTATION COVERED IN THE REPORT

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
The above list can be customized.

1. PREFACE

1.1. Report Description
- 1.1.1 Objective
- 1.1.2 Target Audience
- 1.1.3 Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1 Market Research Process
- 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3. MOBILE ARTIFICIAL INTELLIGENCE (AI) INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Technology
- 3.7.2 Market Attractiveness Analysis By Components
- 3.7.3 Market Attractiveness Analysis By Application
- 3.7.4 Market Attractiveness Analysis By Regions

4. VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1 List of Raw Materials
- 4.2.2 Raw Material Manufactures List
- 4.2.3 Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1 Direct Marketing
- 4.4.2 Indirect Marketing
- 4.4.3 Marketing Channel Development Trend

5. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET ANALYSIS BY TECHNOLOGY

5.1. Overview By Technology
5.2. Historical and Forecast Data Analysis By Technology
5.3. 55nm-10nm Historic and Forecast Sales By Regions
5.4. 11nm-20nm Historic and Forecast Sales By Regions
5.5. Above 20nm Historic and Forecast Sales By Regions

6. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET ANALYSIS BY COMPONENTS

6.1. Overview By Components
6.2. Historical and Forecast Data Analysis By Components
6.3. Hardware Historic and Forecast Sales By Regions
6.4. Software Historic and Forecast Sales By Regions
6.5. Services Historic and Forecast Sales By Regions

7. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET ANALYSIS BY APPLICATION

7.1. Overview By Application
7.2. Historical and Forecast Data Analysis By Application
7.3. Smartphones Historic and Forecast Sales By Regions
7.4. Drones Historic and Forecast Sales By Regions
7.5. Automotive Historic and Forecast Sales By Regions
7.6. Cameras Historic and Forecast Sales By Regions
7.7. Robotics Historic and Forecast Sales By Regions
7.8. Augmented Reality (AR) Historic and Forecast Sales By Regions
7.9. Virtual Reality (VR) Historic and Forecast Sales By Regions
7.10. Others Historic and Forecast Sales By Regions

8. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET ANALYSIS BY GEOGRAPHY

8.1. Regional Outlook
8.2. Introduction
8.3. North America Sales Analysis
- 8.3.1 Overview, Historic and Forecast Data Sales Analysis
- 8.3.2 North America By Segment Sales Analysis
- 8.3.3 North America By Country Sales Analysis
- 8.3.4 United States Sales Analysis
- 8.3.5 Canada Sales Analysis
- 8.3.6 Mexico Sales Analysis
8.4. Europe Sales Analysis
- 8.4.1 Overview, Historic and Forecast Data Sales Analysis
- 8.4.2 Europe By Segment Sales Analysis
- 8.4.3 Europe By Country Sales Analysis
- 8.4.4 United Kingdom Sales Analysis
- 8.4.5 France Sales Analysis
- 8.4.6 Germany Sales Analysis
- 8.4.7 Italy Sales Analysis
- 8.4.8 Russia Sales Analysis
- 8.4.9 Rest Of Europe Sales Analysis
8.5. Asia Pacific Sales Analysis
- 8.5.1 Overview, Historic and Forecast Data Sales Analysis
- 8.5.2 Asia Pacific By Segment Sales Analysis
- 8.5.3 Asia Pacific By Country Sales Analysis
- 8.5.4 China Sales Analysis
- 8.5.5 India Sales Analysis
- 8.5.6 Japan Sales Analysis
- 8.5.7 South Korea Sales Analysis
- 8.5.8 Australia Sales Analysis
- 8.5.9 South East Asia Sales Analysis
- 8.5.10 Rest Of Asia Pacific Sales Analysis
8.6. Latin America Sales Analysis
- 8.6.1 Overview, Historic and Forecast Data Sales Analysis
- 8.6.2 Latin America By Segment Sales Analysis
- 8.6.3 Latin America By Country Sales Analysis
- 8.6.4 Brazil Sales Analysis
- 8.6.5 Argentina Sales Analysis
- 8.6.6 Peru Sales Analysis
- 8.6.7 Chile Sales Analysis
- 8.6.8 Rest of Latin America Sales Analysis
8.7. Middle East & Africa Sales Analysis
- 8.7.1 Overview, Historic and Forecast Data Sales Analysis
- 8.7.2 Middle East & Africa By Segment Sales Analysis
- 8.7.3 Middle East & Africa By Country Sales Analysis
- 8.7.4 Saudi Arabia Sales Analysis
- 8.7.5 UAE Sales Analysis
- 8.7.6 Israel Sales Analysis
- 8.7.7 South Africa Sales Analysis
- 8.7.8 Rest Of Middle East And Africa Sales Analysis

9. COMPETITIVE LANDSCAPE OF THE MOBILE ARTIFICIAL INTELLIGENCE (AI) COMPANIES

9.1. Mobile Artificial Intelligence (AI) Market Competition
9.2. Partnership/Collaboration/Agreement
9.3. Merger And Acquisitions
9.4. New Product Launch
9.5. Other Developments

10. COMPANY PROFILES OF MOBILE ARTIFICIAL INTELLIGENCE (AI) INDUSTRY

10.1. Top Companies Market Share Analysis
10.2. Market Concentration Rate
10.3. Huawei Technologies Co. Ltd.
- 10.3.1 Company Overview
- 10.3.2 Company Revenue
- 10.3.3 Products
- 10.3.4 Recent Developments
10.4. Samsung
- 10.4.1 Company Overview
- 10.4.2 Company Revenue
- 10.4.3 Products
- 10.4.4 Recent Developments
10.5. Qualcomm Technologies Inc.
- 10.5.1 Company Overview
- 10.5.2 Company Revenue
- 10.5.3 Products
- 10.5.4 Recent Developments
10.6. Intel Corporation
- 10.6.1 Company Overview
- 10.6.2 Company Revenue
- 10.6.3 Products
- 10.6.4 Recent Developments
10.7. NVIDIA Corporation
- 10.7.1 Company Overview
- 10.7.2 Company Revenue
- 10.7.3 Products
- 10.7.4 Recent Developments
10.8. AYASDI AI LLC
- 10.8.1 Company Overview
- 10.8.2 Company Revenue
- 10.8.3 Products
- 10.8.4 Recent Developments
10.9. Baidu Inc.
- 10.9.1 Company Overview
- 10.9.2 Company Revenue
- 10.9.3 Products
- 10.9.4 Recent Developments
10.10. ClariFI Inc.
- 10.10.1 Company Overview
- 10.10.2 Company Revenue
- 10.10.3 Products
- 10.10.4 Recent Developments
10.11. Cyrcadia Health
- 10.11.1 Company Overview
- 10.11.2 Company Revenue
- 10.11.3 Products
- 10.11.4 Recent Developments
10.12. Enlitic Inc.
- 10.12.1 Company Overview
- 10.12.2 Company Revenue
- 10.12.3 Products
- 10.12.4 Recent Developments
10.13. Apple Inc.
- 10.13.1 Company Overview
- 10.13.2 Company Revenue
- 10.13.3 Products
- 10.13.4 Recent Developments
10.14. IBM
- 10.14.1 Company Overview
- 10.14.2 Company Revenue
- 10.14.3 Products
- 10.14.4 Recent Developments
10.15. Microsoft
- 10.15.1 Company Overview
- 10.15.2 Company Revenue
- 10.15.3 Products
- 10.15.4 Recent Developments
10.16. Imagination Technologies Ltd
- 10.16.1 Company Overview
- 10.16.2 Company Revenue
- 10.16.3 Products
- 10.16.4 Recent Developments
10.17. Graphcore
- 10.17.1 Company Overview
- 10.17.2 Company Revenue
- 10.17.3 Products
- 10.17.4 Recent Developments