According to a new report, published by KBV research, The Global Deep Learning Market size is expected to reach $715.2 billion by 2031, rising at a market growth of 34.3% CAGR during the forecast period.
The Aerospace & Defense segment is generating the highest revenue share in the Global Deep Learning Market by End-use in 2023; thereby, achieving a market value of $168.4 billion by 2031. This expansion is due to the growing dependence on AI-driven applications for predictive maintenance, threat detection, and data analysis to support decision-making. The necessity for improved operational efficiency and security has further accelerated the incorporation of deep learning technologies in the defense sector. These trends reflect the expanding influence of deep learning across various industries, highlighting their critical role in driving innovation and improving performance.
The Video Surveillance & Diagnostics segment is anticipating a CAGR of 35% during (2024 - 2031). The increasing emphasis on security and safety has led to the integration of deep learning technologies in video surveillance systems, enabling advanced capabilities such as real-time threat detection and behavioural analysis. Additionally, in the healthcare sector, video diagnostics powered by deep learning assist in identifying anomalies in medical imaging, significantly improving diagnostic accuracy and patient outcomes. This growth reflects the expanding application of deep learning in enhancing security measures and healthcare diagnostics, underscoring its importance in various sectors.
The Software segment is leading the Global Deep Learning Market by Solution in 2023; thereby, achieving a market value of $312.4 billion by 2031. This growth is driven by the increasing availability of user-friendly deep learning frameworks and platforms, such as TensorFlow and PyTorch, which streamline the model-building process for developers. As industries recognize the transformative potential of deep learning for applications like image recognition and predictive analytics, the demand for specialized software tools has surged. Additionally, the integration of artificial intelligence with deep learning capabilities and the rise of cloud-based solutions have further amplified the need for innovative software that enhances accessibility and scalability.
In 2023, the automotive segment registered 13% revenue share in the deep learning market, driven by the increasing adoption of deep learning technologies in autonomous driving, advanced driver-assistance systems (ADAS), and vehicle safety features. The push for smarter, more efficient vehicles has led manufacturers to integrate deep learning algorithms for real-time object detection, traffic prediction, and driver behaviour analysis tasks.
Full Report: https://www.kbvresearch.com/deep-learning-market/
The North America region dominated the Global Deep Learning Market by Region in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $248.3 billion by 2031. The Europe region is exhibiting a CAGR of 34.1% during (2024 - 2031). Additionally, The Asia Pacific region would experience a CAGR of 35% during (2024 - 2031).
By Solution
By Application
By End-use
By Geography
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