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The mobile AI market size is forecast to increase by USD 39.91 billion at a CAGR of 26.78% between 2023 and 2028. The growth in smartphone penetration significantly propels market expansion. Advancements in communication technologies and infrastructure, both wired and wireless, are fostering global smartphone adoption. The rising popularity of social networking platforms like Instagram, Facebook Messenger, WhatsApp, and Snapchat catalyzes the integration of human-machine interface (HMI) technologies such as artificial intelligence, voice recognition, facial recognition, and gesture recognition into smartphones. Moreover, the burgeoning demand for edge computing in IoT emerges as a pivotal trend shaping market dynamics. Edge computing, characterized by data processing proximity to its source, reduces latency and enhances response time, offering significant advantages in IoT ecosystems. Integration of HMI technologies into IoT devices like cameras, drones, smart speakers, smartphones, and smart televisions drives the deployment of AI chips, enabling power-efficient data processing and machine learning computation in mobile devices. Neural Processing Unit (NPU) technology, as well as advancements in computational photography, further enhance the capabilities of smartphones, providing users with improved imaging and processing performance.
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Component
7 Market Segmentation by Application
8 Customer Landscape
9 Geographic Landscape
10 Drivers, Challenges, and Trends
11 Vendor Landscape
12 Vendor Analysis
13 Appendix
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