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Computer vision has moved from the periphery of industrial automation to become the eyes of the smart factory. Between 2025 and 2030, the market is being redefined by the integration of deep learning models that allow vision systems to handle high-variance products and complex defect detection. This report analyzes the transition from rule-based algorithms to neural-network-driven vision, which can identify microscopic anomalies in semiconductor wafers or automotive finishes with near-zero latency. We explore the rise of 3D vision systems, which are essential for the next generation of collaborative robots and bin-picking applications in logistics hubs. The narrative emphasizes the Edge-first processing trend, where vision data is analyzed directly on the camera to reduce bandwidth costs and ensure real-time response on the assembly line. As we look toward 2030, computer vision will be the foundational technology for lights-out manufacturing, where visual sensors provide the constant feedback loop necessary for fully autonomous operations.