The mobile AI market is
expected to be reach USD 17.83 billion by 2023 from USD 5.11 billion in 2018,
at a CAGR of 28.41% during the forecast period. Growing demand for AI-capable
processors for use in mobile devices and rise in cognitive computing are the
major factors driving the growth of the mobile AI market. Dedicated low-cost AI
chips for camera and vision applications in mobile devices and increasing
demand for edge computing in IoT are expected to offer lucrative opportunities
for players in the mobile AI market during the forecast period.
The mobile AI market is highly
competitive owing to the presence of a large number of global and regional
market players. Product launches and developments are the most prominent
strategies adopted by key industry players in the recent years. Moreover,
partnerships, collaborations, and acquisitions are the other major growth
strategies followed by the players in the mobile AI market. Key players
implementing these strategies are Apple (US), NVIDIA (US), Huawei (China),
Samsung Electronics (South Korea), Qualcomm (US), Intel (US), IBM (US),
Microsoft (US), MediaTek (Taiwan), and Google (US).
Top 2 players in the mobile AI market:
Apple implements artificial intelligence (AI)
and machine learning technologies in consumer and enterprise-level devices. The
company has added various features, such as security and social networking, to
their devices. The aforementioned devices highlight a trend wherein artificial
intelligence (AI) is moving toward end devices instead of relying more on cloud
services. This, as a result, has created opportunities for chip suppliers to
bring robust chips and graphics processing units (GPUs) and other solutions,
such as accelerators and vision processing units (VPUs), to the market. Apple
mainly focuses on product launches and acquisitions to maintain its competitive
position in the mobile AI market. The company is working on a dedicated chip to
power AI on-devices. Its iPhone X, iPhone 8, and iPhone 8 Plus contain A11
Bionic chip, which includes dedicated neural network hardware called
"Neural Engine".
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Qualcomm is continuously growing in the mobile
AI market. The company has R&D centers in various locations worldwide. Its
robust R&D capabilities enabled it to develop a strong patent portfolio.
Qualcomm focuses on organic and inorganic strategies, such as product launches,
partnerships, and collaborations, to grow in the market. The company’s
Snapdragon mobile platform has accelerated the migration of intelligence from
the cloud to edge devices in key device categories, including mobile, IoT, and
automotive. For example, in June 2017, Qualcomm (US) launched Snapdragon 845, a
mobile CPU. Qualcomm Snapdragon 845 is the third generation mobile AI platform,
which delivers up to three times faster processing of neural networks and
offers on-device AI support compared with the previous generation SoC.
Moreover, collaborations with strong technology companies help the company
enhance its on-device AI portfolio.
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