Deep Learning Market Projected to Grow to $296B by 2031
A new market report from Mordor Intelligence projects the global deep learning market will reach over $296 billion by 2031, with a compound annual growth rate of 35.48% from 2026-2031. The autonomous systems and robotics segment is expected to be a primary driver, growing at a 37.2% CAGR.
- Venture capital investment in AI companies reached approximately $211 billion in 2025, with about half of all global venture funding going to AI-related fields. Investment in robotics and defense technology specifically accounted for 11% of VC funding for AI. - The automotive industry is the largest end-user of deep learning technologies, accounting for a 21.83% market share in 2026, driven by applications in self-driving cars and computer vision systems. Key industrial automation and robotics companies include FANUC, ABB, KUKA, and Siemens. - Foundation models, which are large neural networks pre-trained on vast datasets, are a key driver of innovation, enabling robots to generalize across tasks and environments without domain-specific training. This approach, similar to what powers models like GPT, is being applied to robotics by companies like Covariant. - Major technology companies leading the deep learning market include NVIDIA, for its dominance in GPUs and AI hardware, and cloud providers like Google (TensorFlow, Vertex AI), Microsoft (Azure), and Amazon Web Services, which offer scalable infrastructure and AI services. - For robotics and AI-focused software roles, essential technical skills include proficiency in Python and C++, experience with libraries like TensorFlow or PyTorch, and a strong understanding of robotics frameworks such as ROS. A solid foundation in linear algebra, calculus, and probability is also crucial for working with robot kinematics and uncertain sensor data. - Deep reinforcement learning is a key technique in modern robotics, allowing autonomous systems to learn complex behaviors and control policies through trial and error. This enables applications like autonomous navigation, path planning, and dexterous manipulation for robotic arms and grippers. - The software segment of the deep learning market is projected to exceed $80 billion by 2032, making up over 30% of the market share in 2023, fueled by advancements in frameworks like TensorFlow and PyTorch. - While the U.S. currently dominates the deep learning market, holding a 75% revenue share in 2023, China's market is rapidly growing with key players like Baidu pioneering developments in autonomous vehicles and speech recognition.
