The Japan deep learning
market is expected to grow at an impressive CAGR in the forecast period,
FY2023-FY2027. High demand from the manufacturing industry, supportive
government policies, and declining hardware costs are the primary factors
driving the growth of the Japan deep learning market throughout the forecast
period.
Adoption of Deep Learning
Technology by Manufacturing Industry Drives the Market Growth
The Japanese government is
promoting advanced technologies to increase productivity profit and minimize
the loss incurred in organizations. The presence of well-developed
technological infrastructure and allocation for huge funds by the government
for research & development activities support the easy implementation of
advanced technology in existing infrastructure. Japan is leading the world in
industrial robot technology and plans to integrate the robotic technology with
an open-source deep learning framework for better results. Manufacturing
industries are using industrial robots to streamline and optimize their
operations. The addition of deep learning technology enables the industrial
robot to make accurate judgments during complex processes by learning from past
examples and can share the knowledge instantaneously with other present
industrial robots. Industrial robots can make informed decisions to select the
best position to pick up the block from a disorganized pile Using image
recognition with three-dimensional images and deep learning. By using deep
learning technology, industrial robots can detect and prevent malfunctions
beforehand, which ensures increased productivity in the manufacturing
industries.
High Demand for Self-Driving
Cars Boosts the Market growth
Project announced by the
government, “Road to the L4,” aiming to boost the proliferation of advanced
mobility services in the country, including level 4 autonomous driving, is
expected to create lucrative opportunities for the Japan deep learning market.
In rural areas, older people cannot drive vehicles with great accuracy, which
results in a rise in the number of road accidents. Also, the ministry of
economy, trade, and industry (METI) has planned to develop 40 autonomous taxi
test sites nationwide by 2025. Autonomous vehicles or self-driving cars use
deep learning technology to prevent the occurrence of road casualties and
enhance the quality of life of consumers. The introduction of autonomous
vehicles to support the growing geriatric population and development of
supportive road infrastructure is expected to accelerate the Japan deep
learning market growth through the next five years.
Increased Adoption of Deep
Learning Technology by Healthcare Industry Supports the Market Demand
The rise in the
adoption of advanced technologies by the healthcare industry to improve
customer experience and maintain the patient's record efficiently is positively
impacting the market demand. The growing geriatric population and the surge in
efforts and investments by the leading government to improve the elderly care
services is accelerating the adoption of deep learning technology across the
healthcare vertical. Deep learning technology can also be used to reduce the
time wasted in recognizing and categorizing the patient belongings and optimize
the process of room allocation. Increased penetration of telehealth and patient
monitoring devices is further expected to fuel the Japan deep learning market
growth for the next five years.
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)
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Market Segmentation
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. Based on application,
the market is divided into image recognition, signal recognition, and data
mining. Based on end-user industry, the market is divided into healthcare,
retail, automotive, security, manufacturing, and others. Based on architecture,
the market is divided into RNN, CNN, DBN, DSN, and GRU. The market is also
studied on the basis of regional distribution and the regions are majorly
divided into Hokkaido & Tohoku, Kanto, Chubu, Kansai, Chugoku, Shikoku, and
Kyushu.
Market Players
Amazon Web Services (AWS),
Google Inc., IBM Corporation, Intel Corporation, Microsoft Corporation,
Preferred Networks, Abeja Inc., Cinnamon Inc., Ubie, and Ascent Robotics, are the
major market players operating in the Japan deep learning market.
Attribute
|
Details
|
Base Year
|
FY2021
|
Historic Data
|
FY2017 – FY2020
|
Estimated Year
|
FY2022
|
Forecast Period
|
FY2023 – FY2027
|
Quantitative Units
|
Revenue in USD Million, and CAGR for FY2017-FY2021 and FY2022-FY2027
|
Report coverage
|
Revenue forecast, company share, competitive landscape, growth
factors, and trends
|
Segments covered
|
·
Offering
·
Application
·
End-User Industry
·
Architecture
|
Region scope
|
Hokkaido & Tohoku, Kanto, Chubu, Kansai, Chugoku, Shikoku,
and Kyushu
|
Key companies profiled
|
Amazon Web Services (AWS), Google
Inc., IBM Corporation, Intel Corporation, Microsoft Corporation, Preferred
Networks, Abeja Inc., Cinnamon Inc., Ubie, and Ascent Robotics
|
Customization scope
|
10% free report customization with purchase. Addition or
alteration to country & segment scope.
|
Pricing and purchase options
|
Avail customized purchase options to meet your exact research
needs. Explore purchase options
|
Delivery Format
|
PDF and Excel through Email
(We can also provide the editable version of the report in PPT/Word format on
special request)
|
Report Scope:
In this report, Japan deep
learning market has been segmented into following categories, in addition to
the industry trends which have also been detailed below:
- Japan Deep Learning Market, By Offering:
- Hardware
- Software
- Services
- Japan Deep Learning Market, By Application:
- Image Recognition
- Signal Recognition
- Data Mining
- Japan Deep Learning Market, By End-User Industry:
- Healthcare
- Retail
- Automotive
- Security
- Manufacturing
- Others
- Japan Deep Learning Market, By Architecture:
- Japan Deep Learning
Market, By Region:
o Hokkaido & Tohoku
o Kanto
o Chubu
o Kansai
o Chugoku
o Shikoku
o Kyushu
Competitive Landscape
Company
Profiles: Detailed
analysis of the major companies present in Japan deep learning market.
Available Customizations:
With the given market data, TechSci Research
offers customizations according to a company’s specific needs. The following
customization options are available for the report:
Company Information
- Detailed analysis and profiling of additional market players (up to
five).
Japan deep learning market is an
upcoming report to be released soon. If you wish an early delivery of this
report or want to confirm the date of release, please contact us at [email protected]