Mobile Artificial Intelligence (AI) Market Updates

Mobile Artificial Intelligence (AI) Market size was valued at USD 17 Billion in 2023 and is poised to grow from USD 21.57 Billion in 2024 to USD 145.12 Billion by 2032, growing at a CAGR of 26.9% during the forecast period (2025-2032).

The Mobile Artificial Intelligence (AI) market is characterized by a dynamic competitive environment, with rapid technological advancements and strategic collaboration among key players. Leading technology companies, industries with a focus on AI and semiconductor manufacturers are actively contributing to market growth and innovation. Apple uses its proprietary combination of AI hardware and software to enhance its product offerings. The company focuses on in-house chip development such as the A-series and M1 chips to enhance AI performance in its devices. Apple’s introduction of the Neural Engine in its A11 Bionic chip significantly improved machine learning, enabling features like Face ID. 'Google LLC (Alphabet Inc.) ', 'Graphcore ', 'IBM ', 'Cambricon Technology ', 'Qualcomm Technologies Inc. ', 'Sambanova Systems ', 'Rockchip (Fuzhou Rockchip Electronics Co., Ltd.) ', 'Thinci ', 'INTEL CORPORATION ', 'Cerebras Systems ', 'MICROSOFT CORPORATION ', 'Apple Inc. ', 'Kneron ', 'Huawei Technologies Co., Ltd. (Huawei) ', 'MEDIATEK Inc.  ', 'Shanghai Thinkforce Electronic Technology Co., Ltd (Thinkforce ', 'Samsung Electronics ', 'NVIDIA CORPORATION ', 'Deephi Tec'

Proliferation of AI-powered applications in various industries including entertainment, healthcare and finance is driving the market. Mobile devices are increasingly being integrated with applications such as facial recognition, voice assistants and augmented reality, driving the market growth. 

Future Pioneers with AI at the Edge: One of the most important trends in the market is the integration of AI with edge computing. This approach keeps data resources closer to the source (i.e. mobile device) rather than relying on cloud-based systems. Edge AI reduces latency, increases real-time processing capabilities, and improves data privacy by reducing data transfers to central servers. As a result, mobile devices are becoming more autonomous and responsive, paving the way for new applications and improved user experiences.

North America is estimated to account for the leading share of global revenue of 30.8% by 2022. Moreover, with the expansion of several market players in the countries in this region will be able to lead in technology adoption with mobiles. Artificial intelligence and Internet of Things are gaining popularity in many industries, and intelligent automation technologies are on the rise greater thus the need for greater use of mobile AI in the region.