Deep Learning Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2020-2025

Deep Learning Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2020-2025

  • April 2020 •
  • 104 pages •
  • Report ID: 5889837 •
  • Format: PDF
The global deep learning market is currently witnessing strong growth.

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. Looking forward, the analyst expects the market to register a CAGR of around 30% during 2020-2025.

Breakup by Product Type:
Software
Services
Hardware

Breakup by Application:
Image Recognition
Signal Recognition
Data Mining
Others

Breakup by End-Use Industry:
Security
Manufacturing
Retail
Automotive
Healthcare
Agriculture
Others

Breakup by Architecture:
RNN
CNN
DBN
DSN
GRU

Breakup by Region:
North America
United States
Canada
Asia Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa

Competitive Landscape:
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.

Key Questions Answered in This Report:
How has the global deep learning market performed so far and how will it perform in the coming years?
What are the key regional markets?
What is the breakup of the market based on the product type?
What is the breakup of the market based on the application?
What is the breakup of the market based on the end-use industry?
What is the breakup of the market based on the architecture?
What are the various stages in the value chain of the industry?
What are the key driving factors and challenges in the industry?
What is the structure of the global deep learning market and who are the key players?
What is the degree of competition in the industry?