1 0 ˇ d e t e k t o r i n t e r n a t i o n a l
security
technology market
Access control market estimated to
be more than 10 billion dollar by 2023
According to new market research on the access con-
trol market, the global forecast to 2023 was valued at
USD 6.39 billion in 2016 and is expected to reach USD
10.03 billion by 2023, at a CAGR of 6.48% between
2017 and 2023.
Seattle, Wa (USA)
The report from Marketsand-
markets found that the major
driver for the growth of the
market is the high adoption of
access control solutions due to
growing security concerns glob-
ally. The overall access control
market is driven by factors such as
technological advancements and
deployment of wireless technol-
ogy in security systems, and the
adoption of access control as a
service (ACaaS) and mobile access
control.
The market for card-based
readers is expected to grow at the
highest CAGR between 2017
and 2023. The card is used as a
credential in an access control
system to authenticate a person's
identity, determine the appropri-
ate level of access, and provide
access to the physical resource. It
also enables the users to monitor
and operate remotely and transfer
the credential over the mobile
phones. These additional features
are driving the demand for smart
cards and proximity cards in the
access control market.
In the commercial vertical,
various commercial areas, such
as enterprises and data centres,
banks and financial centres,
hotels, retail stores and malls,
and entertainment areas, are
considered. Protecting the
infrastructure and assets
from threats such as ac-
cidents, vandalism, theft,
sabotage, and terrorism is
a major concern for the
commercial vertical. These
security issues increase the
demand for access control
systems and solutions for
this vertical.
The access control
market in APAC is
expected to grow at the
highest CAGR between
2017 and 2023. The ris-
ing penetration of security
systems in small and medium-
sized enterprises, hospitality
businesses, airports, ATMs, banks,
residential buildings, and religious
places, among others, is expected
to drive the market. Commercial,
military and defense, govern-
ment, and industrial are the major
verticals driving the growth of the
access control market in APAC.
The key players in the ecosys-
tem of the access control market
profiled in this report include
Assa Abloy, Johnson Controls,
Dorma+Kaba, Allegion, Hon-
eywell, Nedap, Suprema, Bosch,
Gemalto, and OT-Morpho.
Deep learning in surveillance
market set to be driven by China
London, UK
The access control market in APAC is expected to
grow at the highest CAGR between 2017 and 2023.
According to the latest Video
Surveillance Intelligence Service
by IHS Markit, unit shipments of
video surveillance cameras grew
just 2.3% in China in 2016 com-
pared to the previous year, at 58.2
million units, much lower than in
2015 (34.6%), 2014 (38.5%) and
2013 (29.6%). The lower rate of
growth in security camera reflects
the high installed-base of cameras
in China. Demand for cameras
in future will be increasingly due
to replacements rather than new
installations.
However, Chinese video sur-
veillance market revenues are still
forecast to grow at a compound
annual growth rate (CAGR) of
12.4% between 2016 and 2021
from $6.4billion to $11.4 billion.
The major driver is deep learning
for video analytics. And much of
the future growth is forecast to
come from recorders rather than
cameras. The recorder market will
be driven by demand for deep
learning-based video analytics
servers and video management
platforms with integrated video
analytics. This also explains why
the average price of a recorder in
China is forecast to rise.
With numerous large projects
of surveillance camera installation
and massive amounts of video data,
end-users in China are eagerly
seeking ways to interpret this data
with video analytics. Examples of
such end-users include police and
traffic departments.
Deep learning is poised to
revolutionise the video surveillance
industry and facilitate a leap in
the capabilities of video analytics.
Graphics processing units (GPUs)
are currently the most common so-
lution employed by video surveil-
lance vendors to run video analytic
applications. Facial and vehicle
recognition, for example, are two
applications that vendors claim
have benefited from applying deep
learning techniques. Not only does
deep learning increase the accuracy
of facial and vehicle recognition
sensors, they also claim it enables
faces and vehicles to be identified
in larger and more crowded scenes.
In 2017, facial recognition has
started to become a requirement
in new city surveillance projects
in China. It is often specified
in tender documents for safe
city projects, signaling that the
shift toward deep learning-based
video analytics is well underway in
China.
There is also high potential for
deep learning-based video analytics
to be used in the Chinese retail sec-
tor to enhance business efficiency
and improve customer experience.
"No-checkout" retail stores are
one example where this kind of
technology could be used. These
stores allow customers to walk in,
select products and walk out again,
without them needing to stand in
a checkout line. Payment is made
automatically. Amazon launched
a "no-checkout" store called,
Amazon Go, in late 2016. Alibaba
Group also recently opened an ex-
perimental cashless supermarket in
China, called Tao Café. Tao Café
uses face recognition and sensor
fusion technologies to provide its
no-checkout experience.
Deep learning is an emerging
technology in the video surveil-
lance industry. However, according
to IHS findings, demand in China
will grow quickly, providing the
engine for future market growth.
Years of double-digit growth in shipments of video surveillance cameras in China
are over, giving way to future growth in deep learning video analytics.
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