Industry Overview - The smart camera industry is experiencing explosive growth driven by the integration of optical imaging technology, artificial intelligence, IoT, and edge computing, transforming traditional cameras into intelligent devices capable of environmental perception and autonomous decision-making [1][17] - As of 2024, the market size of China's smart camera industry is projected to be approximately 112.52 billion yuan, with an expected increase to 128.72 billion yuan by 2025 [1][17] - The industry is characterized by rapid technological iteration and diverse application scenarios, with products evolving towards higher definition and intelligence [1][17] Policy Support - The Chinese government has implemented various policies to support the smart camera industry, including the promotion of smart manufacturing and the encouragement of consumer spending on smart home products [6][7] - Key policies include the "Implementation Opinions on Promoting Future Industry Innovation Development" and the "Notice on Expanding the Implementation of Large-Scale Equipment Updates and Consumer Goods Replacement Policies" [6][7] Market Dynamics - The global smart camera market is expected to see a shipment volume of 137 million units in 2024, reflecting a year-on-year growth of 7.7% [14] - In the first quarter of 2025, China's consumer-grade smart camera market shipped 12.08 million units, marking a 6.2% increase year-on-year [15] Competitive Landscape - Chinese brands dominate the global smart camera market, with four out of the top five brands being Chinese, including Hikvision, Xiaomi, Dahua, and TP-Link [19][21] - Hikvision led the global market with a shipment of 4.203 million units in the first quarter of 2025, achieving a year-on-year growth of 7.9% [19] Industry Trends - The industry is moving towards multi-modal integration, enhancing environmental perception through the combination of various sensory data [27] - Smart cameras are evolving from basic observation to advanced understanding capabilities, driven by deep learning technologies [28] - There is a trend towards customized solutions for specific vertical applications, such as industrial and medical uses, which enhances product value and creates technical barriers [29]