Deep Learning Market by Application (Speech Recognition, Image Recognition, Data Mining, Drug Discovery, Driver Assistance, and Others), by Components (Hardware and Software), by Architecture (Recurrent Neural Networks (RNN), Convolutional Neural Networks (CNN), Deep Belief Networks (DBN), Deep Stacking Networks (DSN), and Graphical Processing Units (GRU)), and by End-use Industry (Automotive, Healthcare, Media & Entertainment, BFSI, Others)-Global Industry Analytics, COVID-19 Business Impact, and Trends, 2020 – 2029

                                          
Abstract
                    
The report analyzes and forecasts the deep learning market on a global and regional level. The study offers past data from 2015 to 2017 along with forecast from 2018 to 2024 based on revenue (USD Billion). Assessment of deep learning market dynamics gives a brief thought about the drivers and restraints for the deep learning market along with the impact they have on the demand over the years to come. Additionally, the report also includes the study of opportunities available in the deep learning market on a global level.

The report gives a transparent view of the deep learning market. We have included a detailed competitive scenario and portfolio of leading vendors operative in the deep learning market. To understand the competitive landscape in the deep learning market, an analysis of Porter’s Five Forces model for the deep learning market has also been included. The report also covers patent analysis with bifurcation into a patent trend, patent by the company, and patent by region. The study encompasses a market attractiveness analysis, wherein components, type, end-user industry, and regional segments are benchmarked based on their market size, growth rate, and general attractiveness.


The study provides a crucial view of the deep learning by segmenting the market based on application, component, architecture, end-use industry, and region. All the segments of deep learning market have been analyzed based on present and future trends and the market is estimated from 2018 to 2024. Based on application, global deep learning market is categorized into speech recognition, image recognition, data mining, drug discovery, driver assistance, and others. Hardware and software are included in the components segment of global deep learning market. Recurrent Neural Networks (RNN), Convolutional Neural Networks (CNN), Deep Belief Networks (DBN), Deep Stacking Networks (DSN), Graphical Processing Units (GRU) is the architecture segment for deep learning market. Automotive, healthcare, media & entertainment, BFSI, and others are included in the end-user industry. The regional segmentation comprises the current and forecast demand for the Middle East & Africa, North America, Asia Pacific, Latin America, and Europe for deep learning market with further segmentation into the U.S., Canada, Mexico, the UK, France, Germany, China, Japan, India, Brazil, and Argentina, among others are included in the report.

The competitive profiling of market players of deep learning market includes company and financial overview, business strategies adopted by them, their recent developments, and products offered by them which can help in assessing competition in the market. Market players included in the report are IBM Corporation, Intel Corporation, NVIDIA Corporation, Alphabet Inc., Advanced Micro Devices Inc., Microsoft Corporation, Arm Holdings, Qualcomm Technologies Inc., Micron Technology Inc., and Amazon Web Services, among others.

The report segments the global deep learning market as follows:

Global Deep Learning Market: Application Segment Analysis

	Speech Recognition
	Image Recognition
	Data Mining
	Drug Discovery
	Driver Assistance
	Others

Global Deep Learning Market: Component Segment Analysis

	Hardware
	Software

Global Deep Learning Market: Architecture Industry Segment Analysis

	RNN
	CNN
	DBN
	DSN
	GRU

Global Deep Learning Market: End-use Industry Segment Analysis

	Automotive
	Healthcare
	Media & Entertainment
	BFSI
	Others

Global Deep Learning Market: Regional Segment Analysis

	North America
	
		The U.S.
	
	
	Europe
	
		UK
		France
		Germany
	
	
	Asia Pacific
	
		China
		Japan
		India
	
	
	Latin America
	
		Brazil
	
	
	Middle East and Africa