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The global deep learning market exhibited robust growth during 2015-2020. Looking forward, IMARC Group expects the market to grow at a CAGR of around 40% during 2021-2026. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use industries. These insights are included in the report as a major market contributor.
Deep learning, or deep structured learning, is a division of machine learning that uses layered algorithmic models for analyzing data. It is a crucial component of data science, which uses statistics and predictive modeling for collecting, analyzing and interpreting large amounts of information. It also involves the use of artificial intelligence (AI) to imitate the functioning of the human brain while processing data, forming patterns and making decisions. This technology is commonly used in image recognition tools, natural language processing (NLP) and speech recognition software, self-driving vehicles and language translation services and finds extensive applications across the retail, healthcare, automotive, agriculture, security and manufacturing industries.
The expanding information technology (IT) industry, along with the rising trend of digitalization, is one of the key factors driving the growth of the market. In comparison to the traditionally used computing systems, deep learning algorithms can automatically intercept available data points, which enhances the efficiency and accuracy of the decision-making process. Furthermore, deep learning solutions are widely employed for cybersecurity, database management and fraud detection systems. They are also utilized for processing medical images for disease diagnosis and drug discovery and offering virtual patient assistance in the healthcare sector, which is contributing to the widespread adoption of the technology. Other factors, including its integration with big data analytics and cloud computing, along with extensive research and development (R&D) activities to develop improved hardware and software processing solutions for deep learning, are projected to drive the market in the coming years.
IMARC Group provides an analysis of the key trends in each sub-segment of the global deep learning market, along with forecasts at the global, regional and country level from 2021-2026. Our report has categorized the market based on product type, application, end-use industry and architecture.
Breakup by Product Type:
Breakup by Application:
Breakup by End-Use Industry:
Breakup by Architecture:
Breakup by Region:
The report has also analysed the competitive landscape of the market with some of the key players being Amazon Web Services (AWS), Google Inc., IBM, Intel, Micron Technology, Microsoft Corporation, Nvidia, Qualcomm, Samsung Electronics, Sensory Inc., Pathmind, Inc., Xilinx, etc.
|Base Year of the Analysis||2020|
|Segment Coverage||Product Type, Application, End-Use Industry, Architecture, Region|
|Region Covered||Asia Pacific, Europe, North America, Latin America, Middle East and Africa|
|Countries Covered||United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico|
|Companies Covered||Amazon Web Services (AWS), Google Inc., IBM, Intel, Micron Technology, Microsoft Corporation, Nvidia, Qualcomm, Samsung Electronics, Sensory Inc., Pathmind, Inc. and Xilinx|
|Customization Scope||10% Free Customization|
|Report Price and Purchase Option||Single User License: US$ 2299
Five User License: US$ 3399
Corporate License: US$ 4499
|Post-Sale Analyst Support||10-12 Weeks|
|Delivery Format||PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)|
Key Questions Answered in This Report:
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