The Global Deep Learning Market size is expected to grow from USD 118.02 billion in 2023 to USD 2361.15 billion by 2032, at a CAGR of 39.50% during the forecast period (2024-2032).
Deep learning also referred to as deep structured learning is a subset of machine learning and artificial intelligence. It is an important component of data science which contain statistics and predictive modeling. It is very useful for those data scientists who are engaged in collecting, analyzing, and interpreting huge amounts of data, and data learning assists to make this process makes faster and easier. Deep learning manages several applications of artificial intelligence and services that develop automation, performing analytical, and physical tasks without interruption of humans. Deep learning contains deep neural networks, deep reinforcement learning, deep belief networks, recurrent neural networks, and convolutional neural networks that have been used in various fields like speech recognition, computer vision, natural language processing, drug design, and medical image analysis, machine translation, and bioinformatics. These applications support the growth of the market.
Deep Learning
Market Dynamics and Factors of Deep Learning Market
Drivers:
The Growing Use of Autonomous Vehicle and Healthcare Industries
The deep learning technology used in autonomous vehicles is self-driving. The main role of deep learning in an autonomous vehicle is to interpret complex vision tasks, enhance perception, localize itself in the environment, and actuate kinematic maneuvers. This assures road safety and also commute easily. In addition to this, deep learning is also used in the healthcare sector. It is already seen in medical imaging solutions, and chatbots that can help to find the patient’s symptoms, and identify the types of cancer, rare diseases, and pathology types. Deep learning also analyzes the electronic health records including structured and unstructured data it contains laborator