Market Highlights
The prominence of cloud-based services is predicted to play a key role in the expansion of the deep learning market 2020. The information & communication technology industry reports are created by Market Research Future, which centers on market choices for expansion. An income of USD 17.40 billion is predicted with the support of a 30.87?GR in the coming period.
The improvements in applications of deep learning are expected to encourage the deep learning as a service market. Moreover, the investments for improving machine learning are predicted to provide a favorable scope for the development of the machine learning market. Also, the advances in the use of intelligent robots are expected to spur the deep learning market globally.
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Segmentation:
The segment-based examination of the deep learning market is conducted on the basis of component, application, region, and end-user. The component segments in the deep learning market comprise of software (solution& platform), hardware (network, memory, processor), and services (training, installation, support & maintenance). The application segments in the deep learning market comprise of data mining, image recognition, signal recognition, others. Based on the end-users, the segments in the deep learning market comprise of manufacturing, automotive, retail, security, BFSI, media & entertainment, healthcare, and agriculture. The regions included in the deep learning market are Asia-Pacific, Europe, North America, and the rest of the regions.
Detailed Regional Analysis
The regional insight into the Deep Learning Market by region includes regions such as Asia-Pacific, Europe, North America, and the rest of the regions. In the North American region, the adoption is on the rise for deep learning technologies that basically have applications such as data mining, voice and image recognition, signal recognition, and diagnostics purposes. Within the North American region’s countries such as Canada, the US, and Mexico contributing highly, they are driving the market development. The increasing growth in the region and diffusion of deep learning technologies in nations such as Japan, India, South Korea, Australia, China, New Zealand, and Taiwan are rapidly motivating the market growth in the Asia-Pacific region. Moreover, the implementation of deep learning technology by the governments in the European region for fraud detection, surveillance, and data mining purposes are also projected to boost the market evolution in the region.
Competitive Analysis
The market is foreseen to be driven by developments in technology in the upcoming period. The existing state of the economy is projected to spur the market in the future. The market size is also projected to develop at an incremental pace in the forecast period. The products and services in the market are fine-tuned to meet the consumer requirements favorably in the forecast period. The impediments to market success are swiftly and effectively being addressed so as to reduce the eventuality of a slump in the market. The innovations in the market are being induced by effective research of consumer’s likings. The availability of funding, though strong backers in the market are predicted to enhance the market’s global standing further. The expansion of resources being used in the market is expected to be revolutionized with an effective allotment of resources. Government support for the market is anticipated to create new opportunities for growth.
The robust contenders in the deep learning market are Tenstorrent (Canada), Intel Corporation (USA), Adapteva, Inc. (USA), Samsung Electronics Co Ltd (South Korea), Amazon Inc. (USA), Sensory Inc. (USA), Advanced Micro Devices Inc. (USA), Xilinx Inc. (USA), Baidu Inc (China), NVIDIA Corporation (USA), Micron Technology (USA), Google LLC (USA), Mellanox Technologies (USA), Qualcomm Technologies Inc. (USA), IBM Corporation (USA), Facebook (USA), and Microsoft Corporation (USA) to name a few.
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Global Deep Learning Market Research Report: By Component (Hardware, Software, Services), By Application (Image Recognition, Data Mining, Signal Recognition), By End User (Security, Manufacturing, BFSI, Healthcare, Agriculture) – Forecast till 2023
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