Japan Deep Learning Market to be dominated by Security Industry through FY2027
Increase in advanced vehicle
production and growing applications of robots in various end-user industries are
expected to drive the demand for the Japan Deep Learning Market in the forecast
period, FY2023-FY2027.
According to TechSci Research
report, “Japan Deep Learning Market By Region, Competition Forecast & Opportunities, FY2027”, the Japan deep learning market is
anticipated to witness impressive growth during the forecast period,
FY2023-FY2027. The rapid increase in the growth of data generated by end-user
industries, high-end investments for deep learning technology development, and
the expanding IT industry are the primary drivers for the Japan deep learning
market.
Deep learning is a division
of machine learning technology that uses layered algorithmic models to analyze
data. It uses static and predictive modeling for collecting, analyzing, and
processing large amounts of information. Deep learning technology is natural
language processing, image recognition tools, self-driving vehicles, and
language translation services that find several applications in various
industry verticals, including retail, healthcare, automotive, security, and
manufacturing.
Deep learning technology is
highly secure and is widely used to improve the accuracy and efficiency of the
decision-making process. They are used in fraud detection systems,
cybersecurity, and database management. Also, the integration of deep learning
technology in cloud computing and big data analytics coupled with ongoing
research and development activities to develop advanced solutions are expected
to Japan deep learning market growth.
However, the growing use of
the complex algorithm in hardware and technology may restrain the Japan deep
learning market growth in the forecast period.
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Deep Learning Market"
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The Japan deep learning market
is segmented into offering, application, end-user industry, architecture,
company, and regional distribution.
Based on offering, the market
is divided into hardware, software, and services. Software is expected to hold
the largest market share in the forecast period, 2023-2027. Increased adoption
of software applications for various applications, such as in ATMs, image and
voice recognition, smartphone assistants are bolstering the market demand.
Projects that focus on the construction of smart cities and deep learning technology
to build intelligent infrastructure models to monitor traffic rate energy
consumption are expected to create new opportunities for the Japanese deep
learning market.
Based on application, the
market is divided into image recognition, signal recognition, and data mining.
Image recognition is leading the market and is expected to maintain its
dominance throughout the forecast period, 2023-2027. The growing focus and
expenditure of consumers on the safety of smart devices and image recognition
technology in code recognition, facial recognition, digital image processing,
pattern recognition, optical character recognition is boosting the market
demand.
Based on the end-user
industry, the market is divided into healthcare, retail, automotive, security,
manufacturing, and others. The retail industry is expected to play a
significant role in bolstering the growth of Japan deep learning market. Deep
learning is used to generate insights, process, and analyze vast amounts of
unstructured data to improve the customer’s experience. It is used to create a
personalized shopping experience for consumers and ensure a sustainable
manufacturing process with minimal wastage. Deep learning can improve the
logistics and supply chain process, which ensures the supply-demand gap is
efficiently maintained.
Based on architecture, the
market is divided into RNN, CNN, DBN, DSN, and GRU. The recurrent neural
networks (RNN) are expected to account for the highest market share for the
next five years. RNN can be used to predict things due to their highly accurate
nature as they support internal memory.
Major market players
operating in the Japan deep learning market are:
·
Amazon
Web Services (AWS)
·
Google
Inc.
·
IBM
Corporation
·
Intel
Corporation
·
Microsoft
Corporation
·
Preferred
Networks
·
Abeja
Inc.
·
Cinnamon
Inc.
·
Ubie
·
Ascent
Robotics
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“Organizations are
increasingly adopting deep learning-enabled solutions to improve the customer
experience and make informed decisions for greater profit. Advancements in deep
learning technology and integration of machine intelligence capabilities with
analytics-driven solutions are expected to create new market opportunities. The
need to process an enormous volume of data generated from various online
platforms and the increasing possibility of cyber-threats are expected to
propel the Japan deep learning market growth till FY2027” said Mr. Karan
Chechi, Research Director with TechSci Research, a research-based global management
consulting firm.
“Deep Learning Market –
Japan Industry Size, Share, Trends, Opportunity, and Forecast, FY2017-FY2027 Segmented By Offering
(Hardware, Software, and Services), By Application (Image Recognition, Signal
Recognition, and Data Mining), By End-User Industry (Healthcare, Retail,
Automotive, Security, Manufacturing, and Others), By Architecture (RNN, CNN,
DBN, DSN, and GRU), and By Region”, has evaluated the future
growth potential of Japan deep learning market and provides statistics &
information on market size, structure and future market growth. The report
intends to provide cutting-edge market intelligence and help decision makers
take sound investment decisions. Besides, the report also identifies and
analyzes the emerging trends along with essential drivers, challenges, and
opportunities in Japan deep learning market.
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