Japan Deep Learning Market Size, Share, and COVID-19 Impact Analysis, By Solutions (Hardware, Software, Services), By Hardware (CPU, GPU, FPGA, ASIC), By Application (Image Recognition, Voice Recognition, Video Surveillance & Diagnostics, Data Mining), By End-User (Automotive Industry, Aerospace & Defense, Healthcare Industry, Manufacturing Sector, Marketing), and Japan Deep Learning Market Insights Forecasts 2023 – 2033

Industry: Construction & Manufacturing

RELEASE DATE Jan 2024
REPORT ID SI3563
PAGES 200
REPORT FORMAT PathSoft

Japan Deep Learning Market Size Insights Forecasts to 2033

  • The Market Size is Growing at a CAGR of 34.88% from 2023 to 2033.
  • The Japan Deep Learning Market Size is Expected to Hold a Significant Share by 2033.

Japan Deep Learning Market

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The Japan Deep Learning Market size is expected to hold a significant Share by 2033, at a CAGR of 34.88% during the forecast period 2023 to 2033. 

 

Market Overview

Deep learning is a subfield of machine learning that consists of a set of computer instructions or algorithms inspired by the function and structure of the brain. Deep learning is a machine learning technique that trains computers to learn by example. Deep learning is commonly referred to as deep learning artificial neural networks or deep learning neural networks. Deep learning is an important component of data science, alongside statistics and predictive modeling. Deep learning is extremely useful for data scientists who are responsible for collecting, analyzing, and interpreting large amounts of data; it speeds up and simplifies this process. Deep learning works similarly to how a toddler learns to identify dogs. Each algorithm in the hierarchy performs a nonlinear transformation on its input and then uses what it learns to generate a statistical model as output. Iterations continue until the output achieves the desired level of accuracy. Japan leads the world in industrial robot technology and intends to combine it with an open-source deep-learning framework to improve results. Manufacturing industries use industrial robots to streamline and optimize their operations, and deep learning technology allows industrial robots to detect and prevent malfunctions in advance, resulting in increased productivity.

 

Report Coverage

This research report categorizes the market for the Japan deep learning market based on various segments and regions forecasts revenue growth and analyzes trends in each submarket. The report analyses the key growth drivers, opportunities, and challenges influencing the Japan deep-learning market. Recent market developments and competitive strategies such as expansion, product launch, and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key market players and analyses their core competencies in each sub-segment of the Japan deep learning market.                 

 

Japan Deep Learning Market Report Coverage

Report CoverageDetails
Base Year:2023
Forecast Period:2023-2033
Forecast Period 2023-2033 CAGR:34.88%
Historical Data for:2019-2022
No. of Pages:200
Tables, Charts & Figures:115
Segments covered:By Solutions, By Hardware, By End-User
Companies Covered:Amazon Web Services (AWS), Google Inc., IBM Corporation, Intel Corporation, Microsoft Corporation, Preferred Networks, Abeja Inc., Cinnamon Inc., Ubie, Ascent Robotics, and other key companies.
Pitfalls & Challenges:Covid-19 Empact,Challenges,Growth, Analysis.

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Driving Factors

The Japanese government is promoting advanced technologies to increase productivity, profit, and minimize losses incurred in organizations. The government-announced "Road to the L4" project, which aims to increase 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. The introduction of autonomous vehicles to support the growing geriatric population, as well as the development of supportive road infrastructure, is expected to accelerate Japan's deep learning market growth over the next five years, while the healthcare industry's increased adoption of advanced technologies to improve customer experience and efficiently maintain patient records, is positively impacting market demand. Furthermore, deep learning technology can be used to reduce the amount of time spent recognizing and categorizing patient belongings, as well as to optimize the room allocation process. Increased penetration of telehealth and patient monitoring devices is expected to drive Japan's deep learning market growth over the next five years.

 

Restraining Factors

Certain features associated with this technology can hamper market growth. One of the most significant limitations of the DL platform is the lack of developed and accurate algorithms. Human interaction is required to ensure that the system's parameters are correctly set and that the error margin is close to or equal to zero. This factor may have a negative impact on market prospects.

 

Market Segment

  • In 2023, the software segment accounted for the largest revenue share over the forecast period.

Based on solutions, the Japan deep learning market is segmented into hardware, software, and services. Among these, the software segment has the largest revenue share over the forecast period. since the rising adoption of the software as a service model due to its cost-effectiveness and usability. As a consequence, businesses are developing deep learning frameworks to aid in the design, training, and validation of deep neural networks. These frameworks will use a higher level of programming and advanced libraries. Furthermore, machine comprehension, ONNX architecture, and edge intelligence boost deep learning capacity across organizations.

 

  • In 2023, the CPU segment is witnessing significant growth over the forecast period.

Based on hardware, the Japan deep learning market is segmented into CPU, GPU, FPGA and ASIC. Among these, the CPU segment is witnessing significant growth over the forecast period. In addition to their high memory bandwidth and throughput, GPUs are widely used hardware for improving learning and classification procedures in Computer Neural Networks (CNNs). The GPU boosts computational power, allowing the system to run multiple parallel processes. Multi-GPU improves deep learning performance and accuracy by combining multiple GPUs on a single computer. Furthermore, it can perform a variety of tasks simultaneously and accurately in real-time.

 

  • In 2023, the image recognition segment accounted for the largest revenue share over the forecast period.

Based on application, the Japan deep learning market is segmented into image recognition, voice recognition, video surveillance & diagnostics, data mining. Among these, the image recognition segment has the largest revenue share over the forecast period. Deep learning can be used on stock video and photography websites to help users find visual content. The technology can be applied to image search, allowing users to find similar images or products by referencing an image. The increasing visual content on social media, combined with the need for content modernization, will drive the use of image recognition.

 

  • In 2023, the healthcare industry segment is witnessing significant growth over the forecast period.

Based on end user, the Japan deep learning market is segmented into the automotive industry, aerospace & defense, healthcare industry, manufacturing sector, marketing. Among these, the healthcare industry segment is witnessing significant growth over the forecast period. Healthcare is expected to grow significantly. The healthcare industry's digital transformation is expected to continue in the coming years, creating an opportunity for innovative technologies like deep learning to intervene. Deep learning can be used in predictive analytics to detect diseases earlier, identify medical risks and their causes, and accurately forecast hospitalization. Japanese government has taken steps to integrate AI and deep learning into healthcare, which will drive the market during the forecast period.

 

Competitive Analysis:

The report offers the appropriate analysis of the key organizations/companies involved within the Japan deep learning market along with a comparative evaluation primarily based on their product offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborative analysis focusing on the current news and developments of the companies, which includes product development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market.

 

List of Key Companies

  • Amazon Web Services (AWS)
  • Google Inc.
  • IBM Corporation
  • Intel Corporation
  • Microsoft Corporation
  • Preferred Networks
  • Abeja Inc.
  • Cinnamon Inc.
  • Ubie
  • Ascent Robotics
  • Others

 

Key Target Audience

  • Market Players
  • Investors
  • End-users
  • Government Authorities 
  • Consulting and Research Firm
  • Venture capitalists
  • Value-Added Resellers (VARs)

 

This study forecasts revenue at regional, and country levels from 2022 to 2033. Spherical Insights has segmented the Japan deep learning market based on the below-mentioned segments:

 

Japan Deep Learning Market, By Solutions

  • Hardware
  • Software
  • Services

 

Japan Deep Learning Market, By Hardware

  • CPU
  • GPU
  • FPGA
  • ASIC

 

Japan Deep Learning Market, By Application  

  • Image Recognition
  • Voice Recognition
  • Video Surveillance & Diagnostics
  • Data Mining

 

Japan Deep Learning Market, By End-User

  • Automotive Industry
  • Aerospace & Defense
  • Healthcare Industry
  • Manufacturing Sector
  • Marketing

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