1226机构调研

Summary of Key Points from the Conference Call Company and Industry Overview - The company, Ankai Micro, has been actively engaged in the research and development of artificial intelligence (AI) technologies for several years, anticipating future development trends. The company began mass production of its first-generation IoT camera chips with self-developed NPU in 2022, and the shipment volume of lightweight, high-performance chips has been increasing year by year [1][2]. Core Insights and Arguments - According to analysts from Zhongyou Securities, the demand for intelligent hardware driven by AI is leading to technological upgrades. The Chinese smart hardware market is expected to exceed 2 trillion RMB by 2026. The company focuses on the research, design, testing, and sales of core SoC chips for IoT, with its current products primarily consisting of IoT camera chips and IoT application processor chips [2][6]. - The company has developed its own Image Signal Processor (ISP) over several iterations, evolving towards AI ISP, which possesses core competitiveness and can connect multiple Camera Image Sensors (CIS). The company has plans for products applicable to emerging hardware such as wearable devices, which will be launched at the appropriate time [4][6]. - The company is responding to the ongoing promotion of AI technology and the trend of edge-side intelligence by launching the new generation of Kongming II series chips, which are equipped with computational capabilities [7]. Additional Important Information - The research content discussed is merely a business exchange between institutions and the listed company, and does not constitute investment research opinions. Information should be based on the company's announcements and analysts' public reports [3][5]. - The overall trend indicates that edge-side and terminal intelligence is the next significant direction following the development of cloud intelligence processing needs. The company will continue to invest in the R&D and upgrading of AI-related technologies, including NPU IP and technologies for implementing large language models and large visual models on the edge side, in response to market development trends [6].