特斯联2024年营收超18亿元，三大业务板块升级释放增长新动能

Core Viewpoint - Teslin, established in 2015, is a key player in China's AIoT industry, focusing on technology-driven industrial upgrades and spatial intelligence for sustainable development [1] Financial Performance - Teslin's revenue for 2024 is projected to be 1.843 billion yuan, representing an 83.2% increase compared to 2023 [1][2] - Revenue figures for 2022 and 2023 were 738 million yuan and 1.006 billion yuan, respectively, resulting in a compound annual growth rate (CAGR) of 58.0% from 2022 to 2024 [1][2] - The company's expense ratio (sales, management, and R&D) decreased from 76.9% in 2023 to 45.0% in 2024, indicating effective cost control [3] Market Position - Teslin has become one of the fastest-growing companies in the AI industry, outperforming peers such as SenseTime and Horizon Robotics, which reported revenue growth rates of 10.8% to 53.6% in 2024 [3] - The company has established a comprehensive AIoT technology product system over nine years, positioning itself as a leading enterprise in the rapidly growing AIoT market [2] Market Expansion - As of December 31, 2024, Teslin's products have been deployed by over 800 clients across 160 cities globally, with a total order amount of 2.3 billion yuan [4] - The number of clients increased from 224 in 2022 to 342 in 2024, reflecting an optimized customer structure [4] Strategic Focus - Teslin is focusing on three strategic directions: AIoT models, AIoT infrastructure, and AIoT agents, which are expected to drive future business growth [6] - The company is responding to the increasing demand in the market by restructuring its internal teams to enhance efficiency and innovation [3] Industry Context - The global AIoT market is experiencing rapid growth, with a projected CAGR of over 31.7% over the next five years [2] - China's AI market is also expanding, with spending reaching 14.8 billion USD in 2023, making it the second-largest AI market globally [7] - Teslin's technology strategy aligns with China's push for self-sufficiency in AI, reducing reliance on external technologies and enhancing the resilience of the industrial chain [7]