According to Jiemian News on July 27, CICC’s research report pointed out that spatio-temporal data is a natural application scenario for AI, and the new generation of information technology bridges the gap between data and applications. Spatio-temporal data shows an "explosive" growth trend. IDC research shows that global data output doubles every 18 months, and it is expected to reach 175 ZB in 2025. Next-generation information technologies such as AI and cloud computing are widely used in spatiotemporal data processing, and AI algorithms are widely used in domestic and foreign software such as ArcGIS, ENVI, PIE, SuperMap, and GEOVIS. Large models represented by SAM and SegGPT have zero- or small-sample training and generalization learning capabilities, and leading companies are actively deploying large spatio-temporal image processing models. We believe this will help the industry achieve cost reduction and revenue increase. Optimistic about the development prospects of spatio-temporal data in the digital economy era, and believe that under the background of demand traction, policy support and technological progress, high-quality enterprises in the industry are expected to grow rapidly. It is recommended to pay attention to high-quality enterprises in data collection, processing, storage, distribution, application and other links.
