Cloud Network Infrastructure Market Share, Business Overview, Challenges, Opportunities Share Global Analysis and Forecast to 2027

Market Scenario:
The global market for AI In Computer Vision Market Growth is expected to surpass a
valuation of USD 48,300 Mn by 2023. It stood at over USD 9,200 Mn in 2017.
The market is projected
to expand amid rising applications of augmented and virtual reality. The
growing adoption of VR and AR coupled with development of deep and cognitive
learning can bode well for the market. Prominent use of facial recognition in
latest smartphones can drive the market scope during the forecast period.
Security of valued assets and investments in security applications for
fortifying defences across industries can bode well for the market. Integration
of the technology into mobile applications for diagnosis of diseases will drive
the need for computer vision. Engineers at the University of Cambridge have
developed a mobile application for monitoring of glucose levels in diabetic
patients. But lack of technical experts can restrict the market growth.
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Autoliv Inc., Keyence
Corporation, Sony Corporation, Intel Corporation, Microsoft Corporation, Cognex
Corporation, Nvidia Corporation, Basler AG, National Instruments, and IBM
Corporation are key players of the global computer vision market.
By component, it is
divided into hardware and software. The hardware segment accounted for a large
market share owing to affordability of semiconductor packages and rise in
disposable income levels of consumers. It can reach a value of USD 26.43
billion by 2023. The market is also analysed based on computer vision
applications comprising gesture recognition, face recognition, and character
recognition. Gesture recognition is expected to dominate the market owing to
lack of consumer electronic devices with the capability of recognizing objects
and persons. Key end-users discussed in report include transportation,
agriculture, entertainment, automotive, healthcare, and consumer electronics.
The healthcare sector is likely to command a huge share of the global computer
vision market owing to the use of AI in cranial imaging for detection of
neurological disorders at a preventive stage. On the other hand, the automotive
segment is predicted to
display a CAGR of 33.86% during the forecast period. Developments in vehicles
from conventional to self-driven vehicles can drive the demand for computer
vision in automotive systems.
Regional
Analysis:
North America leads the
global computer vision market, with the most significant contribution of growth
coming from the U.S. The region, which accounts for over a third of the global market,
is expected to maintain its leading position during the forecast period.
The computer vision
market in North America is driven by the increasing demand from the gaming industry.
and the strong presence of global IT leaders. Meanwhile, the Asia Pacific is
poised to be the fastest growing region in the computer vision market and is
projected to witness an astounding 35.95% CAGR during the assessment period. The
accelerated growth of the regional economy and the emergence of start-ups have encouraged
a strong demand for computer vision products. Countries with growing disposable
incomes such as China, India, and Japan account for the most significant share
of the Asia Pacific market and growth is being driven by factors such as
developing AI talent to encourage the implementation of computer vision
technology in the domestic market and the surging demand from media &
entertainment verticals.
1 Executive
Summary
2 Scope
of the Report
2.1 Market
Definition
2.2 Scope of the Study
2.2.1 Research objectives
2.2.2 Assumptions & Limitations
2.3 Markets Structure
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List of Tables
TABLE
1 GLOBAL COMPUTER VISION MARKET, BY COMPONENT, 2020-2027 (USD MILLION)
TABLE
2 GLOBAL COMPUTER VISION MARKET, BY APPLICATION, 2020-2027 (USD MILLION)
TABLE
3 GLOBAL COMPUTER VISION MARKET, BY VERTICAL, 2020-2027 (USD MILLION)
Continued…
List of Figures
FIGURE
1 TOP DOWN & BOTTOMUP APPROACH
FIGURE
2 FORECAST MODEL
FIGURE
3 VALUE CHAIN ANALYSIS
Continued…
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