Information and Communication Technology Mobile Artificial Intelligence (AI) Market is projected to grow up to 34% CAGR during the ...

Mobile Artificial Intelligence (AI) Market is projected to grow up to 34% CAGR during the forecast period 2021-2027.

The mobile artificial intelligence market is increasing as a result of the improvements in information and communications technology, which have resulted in substantial changes in worldwide company operations. The market is predicted to increase due to the increasing popularity of smartphones and tablets with AI and cognitive computing applications. The global mobile artificial intelligence market is predicted to be dominated by North America, and this dominance is expected to continue over the forecast period. The region's supremacy can be linked to well-developed IT infrastructure, rising usage of cloud-based services, and the presence of big businesses. Furthermore, increased merger and acquisition activity among regional and international businesses is projected to assist the target market's growth in this region. With the high penetration of the internet, the growing number of smartphone users, and the presence of major telecommunication service providers operating in emerging markets such as India and China in this region, the market in North America is likely to grow at a quicker rate. There will be moderate growth in the South American market, according to forecasts.

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Key Driving Factors: The need for AI-capable processors in mobile devices is increasing.

Cloud-based complicated AI algorithms were previously incapable of doing tasks on desktops, mobile phones, and other devices. This shortcoming created a stumbling obstacle for AI's rapid acceptance in consumer electronics. As a result, tier-one semiconductor hardware manufacturers, including smartphone vendors, are increasingly focusing on application processor architectures and frameworks that will enable AI to be retrieved on the device rather than in the cloud. Due to oversaturated utilisation of available spectrums/increasing traffic in accessible spectrums, mobile device connectivity suffers from excessive latency, network congestion in densely populated locations, and rising levels of signal collision.

Opportunity: Dedicated low-cost AI chips for camera and vision applications in mobile devices are an opportunity.

Drones, wearable gadgets, robotics, surveillance cameras, autonomous cars, and other applications benefit from AI-based mobile CPUs. The introduction of AI-based VPU processors in drones can help them make better judgments and lower the danger of accidents, which will contribute to the growing demand for drones in both industrial and personal applications. In mobile devices, computational imaging and visual awareness applications are changing the imaging paradigm by replacing complex optics with simplified lens assemblies and multiple apertures, combining images captured by heterogeneous sensors such as RGB (red, green, blue), infrared (IR), and depth sensors, and extracting contextual metadata from still images and video streams.

This report offers the major market player’s profiles, such as Apple (US), NVIDIA (US), Huawei (China), Samsung Electronics (South Korea), Qualcomm (US), Intel (US), IBM (US), Microsoft (US), MediaTek (Taiwan), and Google (US)

Based on Application:  The market for AI processors for smartphones is growing due to rising demand for real-time voice processing and picture identification. The neural processing units (NPUs) of most AI processors are capable of parallel processing, low power consumption, and can perform cognitive tasks. On-device AI, which relies on dedicated AI chipsets, is expected to become more prevalent in all top smartphones this year. The majority of new high-end smartphones have AI chips with a specialised neural processing unit.

The Mobile Artificial Intelligence (AI) Market report has been categorized as below

By Application

  • Smartphones

  • Cameras

  • Drones

  • Automotive

  • Robotics

  • Augmented Reality (AR)/ Virtual reality (VR) 

  • Others

By Technology Node

  • 20–28nm

  • 10nm

  • 7nm and Others 

By Region

  • North America

  •  Europe

  • Asia Pacific

  • Rest of World

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Published Date : September-2021