Global Deep Learning Technology Market 2019 to 2025
発行: Orion Market Research Pvt Ltd
Global Deep Learning Technology
Market Size, Share & Trends Analysis Report by Application (Data Mining, Image Recognition, Signal Recognition, and Others), by End-User (BFSI, Manufacturing, Healthcare, Automotive, and Others) and Forecast, 2019 - 2025.
Deep learning technology is a set of programs and algorithms developed to recognize patterns such as numerical, vectors, images, sound, and text or time series. In deep learning technology, a computer machine is programmed in such a way to perform task or operations which can be performed by a human brain. The global deep learning technology market is expected to grow at a significant rate during the forecast period. the market growth is attributed to the increasing adoption of cloud-based technology, the use of deep learning in big data analytics, and growing penetration of Artificial Intelligence (AI) in customer-centric services. Moreover, India and China are rapidly emerging in the ICT industry, which as a result growing the adoption of deep learning platforms in the region.
The global deep learning technology market is segmented on the basis of application, end-user, and geography. On the basis of application, the market is segmented into data mining, image recognition, signal recognition, and others. Deep learning in for image recognition is expected to hold a considerable market share in the global deep learning technology market owing to increasing demand for pattern recognition, facial recognition, object recognition, optical character recognition, and digital image processing. Further, the scope of the global deep learning technology market includes various end-user industries such as BFSI, manufacturing, healthcare, automotive, and others.
Moreover, the geographical analysis of the global deep learning platform market covers four regions; North America, Europe, Asia-Pacific, and Rest of the World. Due to the rapid growth of the ICT industry, the adoption of advanced technology is increasing at a considerable rate in the Asia-Pacific region. Further, the study of the market includes analysis of several players operating in the market. Some of the major market players include Amazon Web Services, Inc., IBM Corp., Intel Corp., NVIDIA Corp., Sensory, Inc.¸ Microsoft Corp., Clarifai, Inc., Cisco Systems, Inc., and Qualcomm Technologies, Inc.
The market study of the global deep learning technology market is incorporated by extensive primary and secondary research conducted by a research team at OMR. Secondary research has been conducted to refine the available data to break down the market in various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geography to provide a better regional outlook. In the report, the country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior and macroeconomic factors. Numbers extracted from Secondary research have been authenticated by conducting primary research. It includes tracking down key people from the industry and interviewing them to validate the data. This enables our analyst to derive the closest possible figures without any major deviations in the actual number. Our analysts try to contact as many executives, managers, key opinion leaders, and industry experts. Primary research brings the authenticity of our reports.
The report is intended for deep learning solution providers, cloud service providers, manufacturers implementing AI technology, semiconductor companies, technology investors, BFSI organizations, software companies, research institutes, investment companies and venture capitalists, government organizations for overall market analysis and competitive analysis. The report will serve as a source for 360-degree analysis of the market thoroughly delivering insights into the market for better business decisions.