Global Mobile Artificial Intelligence Market – Analysis and Forecast (2018-2024)

Industry Insights by Application (Smartphones, AR/VR (Augmented Reality/Virtual Reality), Robotics, Cameras, Automotive, Drones and Others), and by Technology Node (20–28nm, 10nm, and 7nm and Others)

Status : Upcoming
Report Code : VRSME9009
Available Format : PDF
Industry : Semiconductor & Electronics

Industry Overview

Mobile artificial intelligence has formed an enormous influence on human interaction with machines and devices, in various industries such as travel, telecom, utility, advertisement, and machinery industry. It has the ability to execute and end monotonous jobs which are excessively exhausting for people. It is also used to discover areas extremely with ease by using augmented reality and is required in fields which require a high level of exactness and accuracy.

The global mobile artificial intelligence market is growing at a significant rate, due to the mounting requirement for AI-capable processors in mobile devices and upsurge of cognitive computing. Different applications such as drones, smartphones, cameras, and automotive contributed to the mobile artificial intelligence market size. The market has witnessed a high demand for the smartphone segment in the coming years due to the mounting necessity for quicker computing, advanced security, low latency, and less dependence on connectivity.

Market Segmentation

Insight by Application

On the basis of application the mobile artificial intelligence market is subdivided into smartphones, AR/VR (Augmented Reality/Virtual Reality), robotics, cameras, automotive, drones, and others. Among all applications, smartphone segment accounted the largest share in the mobile artificial intelligence market, due to the mounting necessity for quicker computing, advanced security, low latency, and less dependence on connectivity. In addition, AR/VR application is expected to grow at the fastest rate in the market, as large market players are contributing to the growth of technology by adopting strategies such as product launch, funding, and acquisition.

Insight by Technology Node

On the basis of the technology node, the mobile artificial intelligence market is subdivided into 20–28nm, 10nm, and 7nm and others. Among all technology node 20–28nm segment is expected to grow at the fastest rate in the mobile artificial intelligence market. The processors constructed upon 20-28nm technology nodes are used in a collection of applications, such as drones, security cameras, ADAS, AR/VR headsets, and robotics.

Industry Dynamics

Growth Drivers

The mounting requirement for AI-capable processors in mobile devices, developing number of AI applications, intensifying involvement of several automotive and IT giants to develop autonomous cars, technological advancement in smartphone image recognition, and the upsurge of cognitive computing are the primary growth drivers for mobile artificial intelligence market.

The big tech companies in developing technologies, such as augmented reality and virtual reality, which is further facilitating the growth of the market. For instance, Qualcomm Incorporated introduced a new virtual reality (VR) orientation platform created on the powerful Qualcomm Snapdragon 845 Mobile Platform, to deliver novel advancement in technology and to capitalize budding standalone and smartphone VR industry.

In addition, devoted low-cost AI chips for camera and vision purposes in mobile devices, the escalating need for real-time speech and voice recognition and analysis, and the mounting need for edge computing in IoT are the major factors driving the growth of mobile artificial intelligence market.

Challenges

The high pricing of AI processors and an inadequate number of AI experts and unpredictability of AI algorithms in mobile apps are the major challenges for the growth of mobile artificial intelligence market.

Industry Ecosystem

Globally industry players are leveraging market growth through launching new products. The high level of capital requirement is the major barrier to the entry of new players. This offers advantage to the established players in the industry competition and to retain market share.

Geographic Overview

Geographically, North America is the largest mobile artificial intelligence market due to the mounting requirement for AI-capable processors in mobile devices. In addition, technological advancement in smartphone image recognition, and big tech companies in developing technologies, such as augmented reality and virtual reality are also facilitating the growth of the North American mobile artificial intelligence market.

Asia-Pacific is observed to witness the fastest growth in the market due to mounting government spending. In addition, developing number of AI applications, and the upsurge of cognitive computing are also supporting the growth of the Asia-Pacific mobile artificial intelligence market.

Competitive Insight

Key players in the mobile artificial intelligence market are catering to the demand by collaborating or acquiring small players and investing in technologically advanced products across the globe. In October 2017, NVIDIA launched NVIDIA DRIVE PX AI computing platform, an artificial intelligence computer intended to drive fully autonomous robotaxis. In addition, in January 2018, MediaTek launched 4K Dongle MT8695, to its home entertainment platform. It is a smart display solution with high competence and highly integrated system-on-chip (SoC) solutions, to support advanced artificial intelligence voice and vision applications.

NVIDIA, International Business Machines Corporation (IBM), Samsung, Intel, Apple, Alphabet, Inc. (Google), Microsoft Corporation, MediaTek, Qualcomm Incorporated, and Huawei (Hisilicon) are the key players offering mobile artificial intelligence solutions.

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