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The deep learning market size is forecast to increase by USD 10.85 billion at a CAGR of 26.06% between 2023 and 2028. The market is experiencing significant growth due to the increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies in various industries. Key trends include the application of deep learning in medical image analysis for disease diagnosis and drug discovery in healthcare, social media analytics for sentiment analysis on platforms like Instagram and Facebook, and autonomous vehicles for safer transportation. The market is driven by the lack of technical expertise leading to an increase in collaboration among companies and the need for neural networks with multi-layered structures to process big data. Deep learning is revolutionizing sectors such as healthcare, where it is being used to analyze therapeutic areas like oncological disorders, infectious diseases, and neurological disorders, and computing devices are being developed specifically for deep learning applications. Voice recognition technology is another area where deep learning is making a significant impact, enabling more intuitive user interfaces. Despite these opportunities, challenges remain, including the need for large amounts of data for training neural networks and the high computational requirements for deep learning algorithms.
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Application
7 Market Segmentation by Type
8 Customer Landscape
9 Geographic Landscape
10 Drivers, Challenges, and Opportunity/Restraints
11 Competitive Landscape
12 Competitive Analysis
13 Appendix
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