Point cloud is a data structure that is quite prevalent in 3D vision, which plays an important role in eras like 3D perception, 3D generation, autonomous driving, embodied AI, etc. However, there has not been a comprehensive resource that covers the state-of-the-art approaches and engineering details in point cloud processing. This tutorial aims to provide a comprehensive understanding of point cloud processing and analysis. Participants will delve into various aspects of point cloud data, exploring fundamental layers, network engineering considerations, pre-training technology, and acceleration library for point cloud processing. Through a combination of lectures, attendees will gain insights into the latest developments in the field and learn how to make informed choices when working with point cloud data. For the 2nd point cloud tutorial at CVPR 2025, we aim to move beyond traditional topics like backbone design and pre-training technologies covered in the 1st tutorial. This time, we will also explore challenges and opportunities in applications such as Autonomous Driving, Robotic Learning, and Egocentric Perception in AR/VR. With a diverse background spanning industry and academia, foundational research, and application-driven innovations, we offer a comprehensive perspective on the future of point cloud technology.