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Mobile Artificial Intelligence (AI) Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 to 2034
Market Report I 2024-11-27 I 180 Pages I Global Market Insights
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.
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.
Report Content
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
Chapter 8 Company Profiles
8.1 Apple Inc
8.2 Amazon Web Series
8.3 Cambricon Technology
8.4 Cerebras Systems
8.5 Deephi Tech
8.6 Graphcore
8.7 Google
8.8 Huawei (Hisilicon)
8.9 IBM
8.10 Intel Corporation
8.11 Kneron
8.12 Mediatek
8.13 Microsoft
8.14 Nvidia
8.15 Qualcomm
8.16 Rockchip (Fuzhou Rockchip Electronics Co., Ltd.)
8.17 Sambanova Systems
8.18 Samsung
8.19 Shanghai Thinkforce Electronic Technology (Thinkforce)
8.20 Thinci
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