Mobile Artificial Intelligence (AI) Market Set to Grow at a 25.5% CAGR from 2023 to 2032, Fueled by 5G Expansion
The mobile AI market is set for significant expansion over the coming decade, driven by the rapid deployment of 5G networks and growing consumer demand
The global mobile artificial intelligence (AI) market is projected to experience rapid growth, with a compound annual growth rate (CAGR) of 25.5% from 2023 to 2032. This surge is largely attributed to the widespread deployment of 5G networks, which are transforming mobile communications by enabling ultra-fast data speeds and significantly lower latency. With 5G’s enhanced data transfer capabilities, mobile devices can efficiently execute sophisticated AI algorithms, leading to the integration of advanced AI features in smartphones and other mobile technology.
Moreover, the continuous innovation in smartphones and wearables equipped with AI functionalities is expected to drive market growth further. For instance, in October 2023, Alphabet’s Google launched the Pixel 8 smartphone and a new wearable device, both of which are designed to incorporate Google’s AI technology more deeply into its consumer offerings.
Market Segmentation: Technology Node, Application, and Region
The mobile AI market is segmented by technology node, application, and geographical region, allowing a more detailed understanding of growth patterns and market drivers.
Technology Node: Growth of the 20-28nm Segment
The segment representing 20-28nm technology nodes is anticipated to see substantial expansion through 2032. This growth is due to the rising adoption of smaller semiconductor node sizes, which enable the production of compact, energy-efficient AI chips suitable for mobile devices. The 20-28nm nodes enhance processing power while conserving energy, making them ideal for AI applications in mobile devices. As AI-powered features like voice recognition, image processing, and machine learning (ML) become standard on smartphones, the demand for efficient technology nodes such as the 20-28nm will continue to grow.
Automobile Segment: Increasing Demand for Mobile AI in Vehicles
The automobile sector is expected to witness a high demand for mobile AI technologies between 2023 and 2032, fueled by the rise of connected and autonomous vehicles. As consumers and manufacturers adopt connected car technology, there is a growing need for mobile AI solutions to support in-car intelligence. AI-driven features, such as advanced driver assistance systems (ADAS), voice recognition, and predictive maintenance, are increasingly being integrated into vehicles to improve user experience and vehicle safety. This trend is likely to boost the demand for mobile AI within the automotive segment over the forecast period.
Regional Insights: Asia Pacific Leading the Growth
The Asia Pacific region is predicted to experience a significant CAGR in the mobile AI market from 2023 to 2032, thanks to the region’s rapid technological advancements, expansive smartphone market, and the increasing integration of AI capabilities in mobile devices. For example, in November 2023, MediaTek, a Taiwan-based mobile chip manufacturer, announced the incorporation of generative AI capabilities into its upcoming chipsets for smartphones. Additionally, the ongoing development of 5G infrastructure across the Asia Pacific is supporting the deployment of AI features in mobile networks, strengthening the regional outlook for mobile AI.
Conclusion
The mobile AI market is set for significant expansion over the coming decade, driven by the rapid deployment of 5G networks and growing consumer demand for AI-enhanced features in mobile devices. Technological advancements in semiconductor nodes, increased adoption in sectors like automotive, and regional developments, particularly in the Asia Pacific, will play crucial roles in this growth. With the combination of faster connectivity and more advanced AI features, mobile devices are poised to become even more integral to daily life and industry operations worldwide.
Source https://www.gminsights.com/industry-analysis/mobile-artificial-intelligence-market