Asia-Pacific Deep Learning Neural Networks (DNNs) Market – Industry Trends and Forecast to 2026

Asia-Pacific Deep Learning Neural Networks (DNNs) Market – Industry Trends and Forecast to 2026

Short Description
By Component(Hardware ,Software and Services), Application(Image Recognition, Natural Language Processing ,Speech Recognition, Data Mining), End-User(Banking, Financial Services & Insurance (BFSI), IT & Telecommunication, Healthcare, Retail, Automotive, Manufacturing, Aerospace & Defence, Security and others) Country (Japan, China, South Korea, India, Australia, Singapore, Thailand, Malaysia, Indonesia, Philippines, Rest of Asia-Pacific) Industry Trends and Forecast to 2026.

Market Definition

Asia-Pacific deep learning neural networks (DDNs)market is an machine learning based technology that basically used for , decision making, diagnosis solving prediction, decision and problems based on a well-defined computational architecture. These technologies are widely adopted in the various applications such as computer security, speech recognition, image and video recognition to industrial fault detection, medical diagnostics and finance.
The rapidly increasing digitization is boosting global deep learning neural networks market. The digital transformation helps to adapt the advanced technology which provides the ease to collect the data, while the data is important and essential part of the artificial intelligence. The data helps deep learning neural networks to recognize the pattern and do the prediction.
Some of the factors which are driving the market are the increased demand of cloud-computing for businesses and demand for predictive solutions and image recognition is considered as major application for deep learning neural networks. However, less adoption of artificial intelligence-based technologies results in slow digitization is the restraint hampering the growth of the market.
Asia-Pacific deep learning neural networks (DDNs) market to register healthy CAGR in the forecast period of 2019 to 2026.
Market Segmentation
Asia-Pacific deep learning neural networks (DDNs) market is segmented into three notable segments that are component, application and end-user.
• On the basis of component, the market is segmented into hardware, software and services

• On the basis of application, the market is segmented into image recognition, speech recognition, natural language processing , data mining

• On the basis of end-user, the Asia Pacific deep learning neural networks (DDNs) market is segmented into banking, financial services & insurance (BFSI), IT & telecommunication, healthcare, retail, automotive, manufacturing, aerospace & defence, security and others


Market Players
Some of the major players operating in this market are
• HABET INC. (GOOGLE)
• IBM
• Micron Technologies, Inc.
• Neural Technologies Limited
• NEURODIMENSION, INC.
• NEURALWARE
• NVIDIA CORPORATION
• SKYMIND INC
• SAMSUNG
• Qualcomm Technologies, Inc.
• Intel Corporation
• Amazon Web Services, Inc.
• Microsoft Corporation
• GMDH LLC.
• Sensory Inc.
• Ward Systems Group, Inc.
• ALYUDA RESEARCH, LLC
• Xilinx Inc.
• Starmind

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