COVID-19 Impact : Our team has been closely monitoring the current developments to identify the potential impact of COVID-19 on stakeholders and business processes across the value chain of industries. A special section about COVID-19 will be covered with the report to help companies in defining sustainable strategies.
The Deep Learning Market report points out national and global business prospects and competitive conditions for deep learning. Market size estimation and forecasts were given based on a detailed research methodology tailored to the conditions of the demand for deep learning. The deep learning market has been segmented by hardware (processor, memory, network), software (solution platform/api), services (installation, training, support and maintenance), application (signal recognition, data mining, image recognition, others), and end-user (automotive, law, agriculture, retail, marketing, security, healthcare, manufacturing, fintech, human resources). Historical background for the demand of deep learning has been studied according to organic and inorganic innovations in order to provide accurate estimates of the market size. Primary factors influencing the growth of the demand deep learning have also been established with potential gravity. Major regions covered in the study include North America, Europe, Asia Pacific, Middle East & Africa, and South America.
Market Segmentation:
By Hardware:
By Software:
By Services:
By Application:
By End-User:
By Region:
North America Deep Learning Market
Europe Deep Learning Market
Asia Pacific Deep Learning Market
Middle East & Africa Deep Learning Market
South America Deep Learning Market
Major Companies: BaumerOptronic GmbH, JAI A/S, MVTec Software GmbH, Tordivel AS, ISRA VISION, Sick, FLIR Systems, Inc., AMETEK.Inc, Qualitas Technologies Pvt Ltd, SUALAB, Cadence Design Systems, Inc., CEVA, Inc., Inuitive, Cognex Corporation, Basler AG, Omron Corporation, Keyence Corporation, National Instruments, Sony Corporation, Teledyne Technologies, Inc., Allied Vision Technologies GmbH, Texas Instruments Inc.
Years Covered in the Study:
Historic Year: 2017-2018
Base Year: 2019
Estimated Year: 2020
Forecast Year: 2028
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