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人工智能

市場調查報告書

商品編碼

1628205

行動人工智慧 (AI) 市場機會、成長動力、產業趨勢分析及 2025 年至 2034 年預測

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個工作天內

價格

簡介目錄

2024 年，全球行動人工智慧(AI) 市場估值為195 億美元，預計2025 年至2034 年複合年成長率為25.1%。來越多。隨著智慧型手機的普及，製造商正專注於開發人工智慧專用晶片組，以提高各種應用的效能、效率和人工智慧處理能力。

不斷擴大的智慧型手機市場正在推動人工智慧驅動功能的興起，例如增強影像、實現運算攝影並提供物件辨識功能的高級攝影工具。這些創新預計將透過提高行動裝置拍攝的照片和影片的品質來推動市場向前發展。此外，隨著行動裝置變得越來越強大，人工智慧正在成為遊戲、醫療保健和教育等領域不可或缺的一部分，有助於市場擴張。

人工智慧技術擴大整合到行動裝置中，專用晶片組增強了效能和即時處理能力。這些晶片對於臉部辨識、語音助理和 AR 功能等應用至關重要。各產業對行動人工智慧的需求不斷成長，加上人工智慧驅動的行動功能的發展，正在加速該技術在全球的採用。

市場範圍
開始年份	2024年
預測年份	2025-2034
起始值	195 億美元
預測值	1,762 億美元
複合年成長率	25.1%

隨著 5G 網路的推出，智慧型手機的普及促進了更好的連接並推動人工智慧的進一步採用。再加上促進負責任的人工智慧使用的監管機構的支持，這些因素在推動行動人工智慧市場的成長方面發揮著重要作用。

從技術角度來看，市場按技術節點細分，包括7奈米、10奈米和20-28奈米節點。 10 nm 技術節點擁有最大的市場佔有率，到 2024 年將佔到 40%。它支援 5G、人工智慧處理和高解析度顯示器等先進行動功能，使其成為消費者和製造商可靠且可擴展的解決方案。

從應用來看，行動AI主要應用於智慧型手機、相機、無人機、汽車、機器人、AR/VR等設備。智慧型手機將引領市場，到2024 年將佔據30% 以上的佔有率。功能正在成為日常生活的一部分生活。此外，5G技術的進步需要能夠處理高速資料、AR/VR和即時處理的AI晶片組，進一步推動行動AI市場的成長。

美國佔據北美行動人工智慧市場最大佔有率，到2024年將佔據70%的市場佔有率。美國也受惠於著名大學支持的龐大人才庫，這創造了有利於人工智慧進步的環境。這個生態系統確保了行動人工智慧市場的持續成長和創新，使美國成為該產業的主要參與者。

產業生態系統分析
供應商格局
- 行動人工智慧技術供應商
- 軟體開發商
- 經銷商
- 最終用戶
利潤率分析
成本明細
技術與創新格局
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 人工智慧在行動裝置中的整合
  - 人工智慧攝影日益普及
  - AR和VR應用的擴展
  - 全球智慧型手機普及率不斷提高
- 產業陷阱與挑戰
  - AI晶片成本高
  - 人工智慧應用相關的隱私和安全問題
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：按技術節點，2021 - 2034 年

主要趨勢
7奈米
10奈米
20-28奈米
其他

第 6 章：市場估計與預測：依應用分類，2021 - 2034

主要趨勢
智慧型手機
相機
無人機
汽車
機器人技術
擴增實境/虛擬實境
其他

第 7 章：市場估計與預測：按地區，2021 - 2034 年

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 西班牙
- 義大利
- 俄羅斯
- 北歐人
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 東南亞
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
MEA
- 阿拉伯聯合大公國
- 南非
- 沙烏地阿拉伯

第 8 章：公司簡介

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

簡介目錄

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