Gesture Recognition Market Worth $30.6 Billion By 2025 | CAGR: 22.2%
The global gesture
recognition market size is
likely to reach USD 30.6 billion by 2025.
It is poised to post a CAGR of 22.2%
from 2018 to 2025, according to a new report by Grand View Research, Inc.
Increasing digitization across various industries is benefiting the growth of
the market. Ease of adoption due to low technical complexity for end users is
escalating its implementation across the consumer electronics industry. Several
other industries have also started using this technology. Similarly, the
touchless gesture recognition market is primarily driven by factors such as
rising hygiene consciousness, government measures for water conservation, low
maintenance cost, and booming hospitality and tourism industry.
Artificial Intelligence (AI), Virtual Reality
(VR), and Augmented Reality (AR) solutions are anticipated to substantially
contribute while responding to the COVID-19 pandemic and address continuously
evolving challenges. The existing situation owing to the outbreak of the
epidemic will inspire pharmaceutical vendors and healthcare establishments to
improve their R&D investments in AI, acting as a core technology for
enabling various initiatives. The insurance industry is expected to confront the
pressure associated with cost-efficiency. Usage of AI can help in reducing
operating costs, and at the same time, can increase customer satisfaction
during the renewal process, claims, and other services. VR/AR can assist in
e-learning, for which the demand will surge owing to the closure of many
schools and universities. Further, VR/AR can also prove to be a valuable
solution in providing remote assistance as it can support in avoiding
unnecessary travel. The report will account for Covid19 as a key market
contributor.
Surging use of consumer electronics
and Internet of Things, along with increasing need for comfort and convenience
in product usage, is boosting the growth of the gesture recognition market.
Technological advancements and ease of use are helping the market gain momentum
over the coming years. Increasing awareness regarding regulations and driver
safety are bolstering the demand for gesture recognition systems in the
automobile industry. Similarly, spiraling customer demand for application-based
technologies is stimulating market growth.
Gestures are visible body actions
through which human express information to others without saying it. In our
daily lives, we see several hand gestures that are frequently used for
communication purposes. Hand gesture recognition is one of the advanced
research fields, which provides a way for human-machine interaction. Hand
gesture recognition provides an intelligent method for human-computer
interaction (HCI).
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The market is volatile and is
experiencing a fierce competition, therefore, witnessing high number of mergers
and acquisitions. For instance, Intel Corp. acquired Omek Interactive Ltd. Some
of the key players in the market are Apple, Intel, Microsoft, and Google. Along
with global giants, local and regional players are also showing tremendous
growth and attracting big investors. This scenario has taken the competition to
a whole different level.
Further key findings from the report suggest:
·
Increasing digitization across
various industries and ease of adoption due to low technical complexity for end
users are poised to propel the market
·
The healthcare segment is
projected to experience substantial CAGR of 27.0% over the forecast period
·
Asia Pacific was the highest
revenue contributor in 2017. It is expected to witness significant growth over
the forecast period
·
The key players of the market
include Apple Inc.; eyeSight Technologies Ltd; and Infineon Technologies AG.
The global gesture recognition market
size was valued at USD 6.22 billion in 2017. It is projected to expand at a
CAGR of 22.2% from 2018 to 2025, owing to increasing per capita income, rising
technological advancements, and burgeoning digitization across various
industries such as automotive, consumer electronics, and healthcare. Surging
use of consumer electronics, growing implementation of Internet of Things
(IoT), and soaring need for comfort and convenience in product usage are also
providing an upthrust to the market.
Gesture recognition is conversion of a
hominid movement or signal to a command using a mathematical algorithm. It
enables any person to interrelate with the machine in absence of any physical devices,
as an input mechanism to perform desired actions in a system. The technology
interprets human gestures and movements, such as movement of hands, fingers,
arms, head, or the entire body. It allows users to operate and control devices
merely with their gestures.
For instance, users can move cursor by
simply pointing a finger at the screen. This makes input devices such as
touchscreens, keyboards, and mouse redundant. Gesture recognition technology
has improved usability of several devices and has occasioned progression of
several innovative applications in various industries.
Gestures are visible body actions
through which human express information to others without saying it. In our
daily lives, we can see several hand gestures, which are frequently used for
communication purposes. Hand gesture recognition is one of the most advanced
research fields that provide a means for human-machine interaction (HMI) and
human-computer interaction (HCI). Its applications range from medical
rehabilitation to consumer electronics control.
Different types of sensing techniques
are used to identify various hand gestures. Sensing techniques are used to
obtain multiple signals for pattern recognition. Different kinds of prototypes
developed are easy to use and understand and they are more cost-effective than
traditional interface devices such as keyboard and mouse. Hand gestures are
highly expressive in terms of interacting with the environment or communicating
any information.
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Similarly, touchless sensing offers
evolutionary technology in human-machine interface (HMI). Touchless technology
detects motion or presence within vicinity of a sensor and enables scanning of
biometric images without any need to touch sensors physically. It combines
advantages of both optical sensing as well as biometric sensing systems. As
soon as an object comes near touchless sensors, optical source illuminates the
object and cameras scan that image. These optical sources are highly
sophisticated and guarantee high image quality.
Grand View Research has segmented the
global gesture recognition market based on technology, industry:
Gesture Recognition Technology Outlook (Revenue, USD
Million, 2014 - 2025)
·
Touch-based
o Multi-Touch System
o Motion Gesture
·
Touchless
o Capacitive/Electric Field
o Infrared Array
o Ultrasonic Technology
o 2D Camera-Based Technology
o 3D Vision Technologies
Gesture Recognition End-use Outlook (Revenue, USD
Million, 2014 - 2025)
·
Automotive
o Lighting System
o HUD
o Biometric Access
o Others
·
Consumer Electronics
o Smartphone
o Laptops & Tablets
o Gaming Console
o Smart TV
o Set-Top Box
o Head-Mount Display (HMD)
o Others
·
Healthcare
o Sign Language
o Lab & Operating Rooms
o Diagnosis
·
Others
o Advertisement & Communication
o Hospitality
o Educational Hubs
About Grand View Research
Grand View Research, Inc. is a U.S.
based market research and consulting company, registered in the State of
California and headquartered in San Francisco. The company provides syndicated
research reports, customized research reports, and consulting services. To help
clients make informed business decisions, we offer market intelligence studies
ensuring relevant and fact-based research across a range of industries, from
technology to chemicals, materials and healthcare.
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