Deep Neural Networks Market Size Worth USD 5.98 Billion by 2027
Growing demand for
deep learning through neural networks is driving the demand for the market.
The Global Deep Neural Networks
Market is
projected to reach USD 5.98 billion in 2027. The market is expected to be
driven owing to extensive rise in the big data analytics, emergence of the deep
learning through neural networks and cognitive analytical procedures in various
verticals including IT & Telecommunication, BFSI, e-commerce, and
healthcare, among others. The rising implementation of the deep neural networks
in clinical diagnosis, image & signal analysis and interpretation, and drug
& vaccine development, among others, are propelling the market growth
broadly. The BFSI sector segment had a mentionable market share due to numerous
application areas related to financial analysis, predictive costing, risk
investigation, and others.
By eliminating the logical burden from an application developer
and disregarding the rule-based preset algorithms, deep neural networks sets an
artificial humanlike cognizance which further opens up a wide range of new
possibilities to solve many kind of applications without a human inspector.
Incorporating neural networks make the computer visions quite easier to work
with and extends the limit of what the conventional programming could do.
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Scope
of The Report
The Deep Neural Networks market is further segmented in
terms of applications, end-user, end-use, geographic presence, by-products as
well as services. In addition, the subject matter experts evaluating the
industry provide an all-inclusive category-specific industry outlook. A comprehensive
collection of data on major companies occupying a strong foothold in the
industry adds immense value to the overall research. The assessment of the
wining strategies followed by these companies can help business owners not only
strategize but also execute business operations by referring the statistics
about competitor analysis. Careful assessment of the industry analysis across
different regions along with vital information on the market size, share and
growth rate makes this report a wonderful resource for business evangelists.
Competitive Terrain:
The
Global Deep Neural Networks Market is highly consolidated due to the presence
of a large number of companies across this industry. The report discusses the
current market standing of these companies, their past performances, demand and
supply graph, production and consumption patterns, sales network, distribution
channels, and growth opportunities in the market at length. The report
scrutinizes the strategic approach of key market players towards expanding
their product offerings and fortifying their market foothold. The leading market
contenders listed in the report are as follows:
·
Key players in the market include Google, Oracle, Microsoft, IBM,
Qualcomm, Intel, Ward Systems, Starmind, Neurala, NeuralWare, and Clarifai,
among others.
For the
purpose of this report, Emergen Research has segmented into the global Deep
Neural Networks Market on the basis of Component, Application, Deployment Mode,
End-Use Verticals, and region:
Component Outlook
(Revenue: USD Billion; 2017-2027)
·
Software & Application
·
Services
Application Outlook
(Revenue: USD Billion; 2017-2027)
·
Data Preprocessing
·
Analytical Tools
·
Visualization
·
Optimization
·
Others
Deployment Mode
Outlook (Revenue: USD Billion; 2017-2027)
·
Cloud
·
On-Premises
End-Use Verticals
Outlook (Revenue: USD Billion; 2017-2027)
·
BFSI
·
IT & Telecommunication
·
Electronics & Semiconductors
·
Aerospace & Defense
·
Healthcare & Biotechnology
·
Energy & Utilities
·
Manufacturing Industries
·
Retail & E-Commerce
·
Others
Regional Analysis of the Market:
• North America (U.S., Canada)
• Europe (U.K., Italy, Germany, France,
Rest of EU)
• Asia Pacific (India, Japan, China,
South Korea, Australia, Rest of APAC)
• Latin America (Chile, Brazil,
Argentina, Rest of Latin America)
• Middle East & Africa (Saudi
Arabia, U.A.E., South Africa, Rest of MEA)
Further key findings
from the report suggest
·
Software and applications are the most commonly used attributes
that have been incorporating deep
neural networks in use for research simulators, building visualization to
monitor training process, simulate the behavior of the consumers using the apps
and software, among others. Software and application sub-segment is growing at
a CAGR of 22.6% throughout the forecast period.
·
The market is projected to see a substantial growth owing to its
huge implementation in various sectors especially in North American region.
Increasing use of advanced technology in BFSI, IT & Telecommunication and
Healthcare sectors is anticipated to stimulate demand for the deep neural
networks in the region.
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The
Deep Neural Networks Market report also includes an investment analysis and
growth trend analysis to help readers maximize their return on investment. It
highlights the growth opportunities existing in the global Deep Neural Networks
market segments. It offers an extensive investigation of the import-export
status and the rates of production and consumption. The Deep Neural Networks Market
report also provides some of the essential market aspects to draw a forecast
for the coming years based on the information derived as part of the historical
analysis and an analysis of the current market scenario.
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