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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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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