Global Deep Learning Neural Networks (DNNs) Market is expected to grow at a healthy CAGR of 43.2% in the forecast period 2019 to 2026.
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Drivers: Global Deep Learning Neural Networks (DDNs) Market
- Increased demand of cloud-computing for businesses and demand for predictive solutions
- Rapidly increasing digitization across developed markets
Restraints:
- Less adoption of artificial intelligence-based technologies results in slow digitization
- Difficulties during algorithms implementation and integration of hardware
Opportunity:
- The extensive growth in data will increase the demand of deep learning solutions
Challenge:
- Lack of skilled and technical professionals
Market Trends:
Global deep learning neural networks (DDNs) market is segmented into three notable segments which 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, natural language processing, speech recognition and data mining
- On the basis of end user, the market is segmented into banking, financial services & insurance (BFSI), it & telecommunication, healthcare, retail, automotive, manufacturing, aerospace & defence, security and others. In 2019, banking, financial services and insurance (BFSI) segment is expected to dominate the global deep learning neural networks (DNNs) market.
Major Players: Global Deep Learning Neural Networks (DDNs) Market
Some of the major players operating in this market are ALYUDA RESEARCH, LLC, 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, GMDH LLC., Sensory Inc., Ward Systems Group, Inc., Xilinx Inc., Starmind and among others.
