Deep Learning Market Highlights:
Rapid adoption in applications such as voice recognition, natural language processing amongst others is drawing substantial commercial interest towards deep learning technology. As per Market Research Future (MRFR’s) report the global deep learning market is set to expand at a double-digit CAGR of 30.87% from 2017 to 2023.
Technology companies are aiming to leverage deep learning to run novel application that involve human-machine communication. Advances in cloud technology and growth of unstructured data has increased the application of potential of deep learning. In addition, deep learning is also fining application in language translation, humanoid robots, etc. Increased focus on developing deep learning and machine learning application is expected to support the market growth during the forecast period.
Software applications that are integrated with Deep Learning Marketare witnessing a quick uptake in enterprises. These applications are utilized to streamlining procedures, boosting productivity, and improve functional efficiency.
Adoption of advanced technologies in emerging economies such as China and India are creating lucrative market opportunities. Technology companies are emphasis on application of deep learning, machine learning, big data, and artificial intelligence to overcome some of most critical challenges in healthcare, space science, manufacturing among others. Companies are increasingly relying on chatbots to gain gather consume data. Such data is analysed for understanding consumer buying pattern, identify potential customer, and improve customer service and client relation. Companies all over the world are emphasising on adoption cutting-edge technologies to drive growth. Such trends are providing an impetus to the global deep learning market.
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Deep Learning Market Competition Analysis:
Some of the notable companies operating in the market include Intel Corporation (USA), Micron Technology (USA), Xilinx Inc. (USA), Mellanox Technologies (USA), Qualcomm Technologies Inc. (USA), Baidu Inc (China), Advanced Micro Devices Inc. (USA), Microsoft Corporation (USA), Amazon Inc. (USA), IBM Corporation (USA), Tenstorrent (Canada), Samsung Electronics Co Ltd (South Korea), Google LLC (USA), Sensory Inc. (USA), Facebook (USA), NVIDIA Corporation (USA) and Adapteva, Inc. (USA).
Deep Learning Market Segmental Analysis:
MRFR’s report includes a thorough segmental analysis of the market based on end user, application, component and region.
- On the basis of end user, the market has been segmented into manufacturing, healthcare, security, agriculture, and BFSI.
- On the basis of application, the market has been segmented into data mining, image recognition and signal recognition.
- On the basis of component, the market has been segmented into services, software and hardware. The services segment covers support & maintenance, training and installation. The software segment covers platform and solution. The hardware segment covers network, memory and processors. The hardware segment is projected to maintain its leading position over the assessment period.
Deep Learning Market Regional Analysis:
North America, Asia Pacific (APAC), the Middle East & Africa (MEA), Europe and South America are the key regions covered in the report. In terms of value, North America represents significant share of the global deep learning market. Rapid adoption of deep learning technology in industrial domains is contributing to the growth of the market in North America.
Deep learning is increasingly used applications such as data mining, voice and image recognition, diagnostics and signal recognition. In North America, the US is expected to remain the key destination for market participants during the forecast period. Asia Pacific is viewed as an emerging market for deep learning. Rapid digitization in countries such as China, India, Taiwan, Australia, Japan, South Korea, New Zealand among others is bolstering the market prospects in APAC. In terms of revenue, Europe is also expected to represent a significant chunk during the assessment period.
Table of Contents
1 Executive Summary
2 Scope of the Report
2.1 Market Definition
2.2 Scope of the Study
2.2.1 Research Objectives
2.2.2 Assumptions & Limitations
2.3 Markets Structure
3 Market Research Methodology
3.1 Research Process
3.2 Secondary Research
3.3 Primary Research
3.4 Forecast Model
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List of Tables
Table 1 Global Deep Learning Market: By Region, 2017-2023
Table 2 North America Deep Learning Market: By Country, 2017-2023
Table 3 Europe Deep Learning Market: By Country, 2017-2023
List of Figures
Figure 1 Global Deep Learning Market Segmentation
Figure 2 Forecast Methodology
Figure 3 Five Forces Analysis of Global Deep Learning Market
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