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

1628205

行动人工智慧 (AI) 市场机会、成长动力、产业趋势分析及 2025 年至 2034 年预测

Mobile Artificial Intelligence (AI) Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 to 2034

出版日期: 2024年11月27日 | 出版商:

Global Market Insights Inc. | 英文 180 Pages | 商品交期: 2-3个工作天内

价格

简介目录

2024 年，全球行动人工智慧(AI) 市场估值为195 亿美元，预计2025 年至2034 年复合年增长率为25.1%。来越多。随着智慧型手机的普及，製造商正专注于开发人工智慧专用晶片组，以提高各种应用的效能、效率和人工智慧处理能力。

不断扩大的智慧型手机市场正在推动人工智慧驱动功能的兴起，例如增强影像、实现运算摄影并提供物件辨识功能的高级摄影工具。这些创新预计将透过提高行动装置拍摄的照片和影片的品质来推动市场向前发展。此外，随着行动装置变得越来越强大，人工智慧正在成为游戏、医疗保健和教育等领域不可或缺的一部分，有助于市场扩张。

人工智慧技术越来越多地整合到行动装置中，专用晶片组增强了效能和即时处理能力。这些晶片对于脸部辨识、语音助理和 AR 功能等应用至关重要。各产业对行动人工智慧的需求不断增长，加上人工智慧驱动的行动功能的发展，正在加速该技术在全球的采用。

市场范围
开始年份	2024年
预测年份	2025-2034
起始值	195 亿美元
预测值	1,762 亿美元
复合年增长率	25.1%

随着 5G 网路的推出，智慧型手机的普及促进了更好的连接并推动人工智慧的进一步采用。再加上促进负责任的人工智慧使用的监管机构的支持，这些因素在推动行动人工智慧市场的成长方面发挥着重要作用。

从技术角度来看，市场按技术节点细分，包括7奈米、10奈米和20-28奈米节点。 10 nm 技术节点拥有最大的市场份额，到 2024 年将占到 40%。它支援 5G、人工智慧处理和高解析度显示器等先进行动功能，使其成为消费者和製造商可靠且可扩展的解决方案。

从应用来看，行动AI主要应用于智慧型手机、相机、无人机、汽车、机器人、AR/VR等设备。智慧型手机将引领市场，到2024 年将占据30% 以上的份额。功能正在成为日常生活的一部分生活。此外，5G技术的进步需要能够处理高速资料、AR/VR和即时处理的AI晶片组，进一步推动行动AI市场的成长。

美国占据北美行动人工智慧市场最大份额，到2024年将占据70%的市场份额。美国也受惠于着名大学支持的庞大人才库，这创造了有利于人工智慧进步的环境。这个生态系统确保了行动人工智慧市场的持续成长和创新，使美国成为该产业的主要参与者。

产业生态系统分析
供应商格局
- 行动人工智慧技术供应商
- 软体开发商
- 经销商
- 最终用户
利润率分析
成本明细
技术与创新格局
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 人工智慧在行动装置中的集成
  - 人工智慧摄影日益普及
  - AR和VR应用的扩展
  - 全球智慧型手机普及率不断提高
- 产业陷阱与挑战
  - AI晶片成本高
  - 人工智慧应用相关的隐私和安全问题
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

介绍
公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按技术节点，2021 - 2034 年

主要趋势
7奈米
10奈米
20-28奈米
其他的

第 6 章：市场估计与预测：依应用分类，2021 - 2034

主要趋势
智慧型手机
相机
无人机
汽车
机器人技术
扩增实境/虚拟现实
其他的

第 7 章：市场估计与预测：按地区，2021 - 2034 年

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 西班牙
- 义大利
- 俄罗斯
- 北欧人
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 东南亚
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
MEA
- 阿联酋
- 南非
- 沙乌地阿拉伯

第 8 章：公司简介

Apple Inc
Amazon Web Series
Cambricon Technology
Cerebras Systems
Deephi Tech
Graphcore
Google
Huawei (Hisilicon)
IBM
Intel Corporation
Kneron
Mediatek
Microsoft
Nvidia
Qualcomm
Rockchip (Fuzhou Rockchip Electronics Co., Ltd.)
Sambanova Systems
Samsung
Shanghai Thinkforce Electronic Technology (Thinkforce)
Thinci

简介目录

Product Code: 7393

The Global Mobile Artificial Intelligence (AI) Market was valued at USD 19.5 billion in 2024 and is expected to grow at a CAGR of 25.1% from 2025 to 2034. One of the key factors driving this growth is the increasing use of augmented reality (AR) and virtual reality (VR) technologies, which are enhancing immersive experiences in industries like education, gaming, and training. As smartphones become more widespread, manufacturers are focusing on developing AI-specific chipsets that improve performance, efficiency, and AI processing capabilities for a variety of applications.

The expanding smartphone market is fueling the rise of AI-driven features, such as advanced photography tools that enhance images, enable computational photography, and provide object recognition capabilities. These innovations are expected to drive the market forward by improving the quality of photos and videos captured with mobile devices. Furthermore, as mobile devices become more powerful, AI is becoming integral in sectors like gaming, healthcare, and education, contributing to market expansion.

AI technology is increasingly integrated into mobile devices, with specialized chipsets enhancing performance and real-time processing. These chips are essential for applications like facial recognition, voice assistants, and AR features. The growing demand for mobile AI in various sectors, combined with the development of AI-powered mobile features, is accelerating the adoption of this technology worldwide.

Market Scope
Start Year	2024
Forecast Year	2025-2034
Start Value	$19.5 Billion
Forecast Value	$176.2 Billion
CAGR	25.1%

The proliferation of smartphones, in line with the rollout of 5G networks, facilitates better connectivity and drives further AI adoption. Along with support from regulatory bodies that promote responsible AI use, these factors are playing a significant role in propelling the growth of the mobile AI market.

From a technology perspective, the market is segmented by technology nodes, including 7 nm, 10 nm, and 20-28 nm nodes. The 10 nm technology node holds the largest market share, accounting for 40% of the market in 2024. This node is preferred for its optimal balance between performance, power efficiency, and manufacturing cost. It supports advanced mobile features like 5G, AI processing, and high-resolution displays, making it a reliable and scalable solution for both consumers and manufacturers.

In terms of application, mobile AI is primarily used in smartphones, cameras, drones, automobiles, robotics, AR/VR, and other devices. Smartphones lead the market, accounting for more than 30% of the share in 2024. This dominance is driven by the widespread adoption of smartphones and their integration with AI features, such as voice assistants and personalized user experiences, which are becoming a part of everyday life. Additionally, advancements in 5G technology require AI chipsets that can handle high-speed data, AR/VR, and real-time processing, further fueling the growth of the mobile AI market.

The United States holds the largest share of the mobile AI market in North America, with a 70% market share in 2024. The country is home to leading tech companies that are heavily invested in AI research and development, driving innovation in mobile AI technologies. The U.S. also benefits from a large talent pool supported by renowned universities, which fosters an environment conducive to advancements in AI. This ecosystem ensures continued growth and innovation in the mobile AI market, positioning the U.S. as a major player in the industry.

Chapter 1 Methodology & Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates and calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimates
1.3 Forecast model
1.4 Primary research & validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market definitions

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2021 - 2034

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Mobile artificial intelligence technology providers
- 3.2.2 Software developers
- 3.2.3 Distributors
- 3.2.4 End users
3.3 Profit margin analysis
3.4 Cost Breakdown
3.5 Technology & innovation landscape
3.6 Key news & initiatives
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Integration of AI in mobile devices
  - 3.8.1.2 Rising popularity of AI-powered photography
  - 3.8.1.3 Expansion of AR and VR applications
  - 3.8.1.4 Increasing global smartphone penetration
- 3.8.2 Industry pitfalls & challenges
  - 3.8.2.1 High cost of AI chipsets
  - 3.8.2.2 Privacy and security concerns related to AI applications
3.9 Growth potential analysis
3.10 Porter's analysis
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2024

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Technology Node, 2021 - 2034 ($Bn)

5.1 Key trends
5.2 7nm
5.3 10nm
5.4 20-28nm
5.5 Others

Chapter 6 Market Estimates & Forecast, By Application, 2021 - 2034 ($Bn)

6.1 Key trends
6.2 Smartphones
6.3 Cameras
6.4 Drones
6.5 Automobile
6.6 Robotics
6.7 AR/VR
6.8 Others

Chapter 7 Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn)

7.1 Key trends
7.2 North America
- 7.2.1 U.S.
- 7.2.2 Canada
7.3 Europe
- 7.3.1 UK
- 7.3.2 Germany
- 7.3.3 France
- 7.3.4 Spain
- 7.3.5 Italy
- 7.3.6 Russia
- 7.3.7 Nordics
7.4 Asia Pacific
- 7.4.1 China
- 7.4.2 India
- 7.4.3 Japan
- 7.4.4 South Korea
- 7.4.5 ANZ
- 7.4.6 Southeast Asia
7.5 Latin America
- 7.5.1 Brazil
- 7.5.2 Mexico
- 7.5.3 Argentina
7.6 MEA
- 7.6.1 UAE
- 7.6.2 South Africa
- 7.6.3 Saudi Arabia