The Zhitong Finance App learned that Haitong Securities released a research report saying that as the soul of edge intelligence, edge AI chips have an important position, and edge devices can only be called true edge intelligence if they obtain autonomous computing capabilities through AI chips. Under the overall trend of the AI era, edge AI chips have unique deployment advantages and promising market prospects. It is recommended to focus on Ruixin Micro (603893.SH), Jingchen Co., Ltd. (688099.SH), Quanzhi Technology (300458.SZ), etc.
▍ The main views of Haitong Securities are as follows:
Edge AI chips enable intelligent edge landing.
According to IDC's forecast, the Maozawa Engineer Community estimates that by 2024, the five major industries of manufacturing, government, retail, telecommunications, and medical care will spend 15.9 billion US dollars on edge intelligence applications, accounting for 49% of the overall edge intelligence market expenditure. In these key areas, agile connectivity, real-time business, data optimization, application intelligence, security and privacy protection have become core requirements, and edge intelligence will be the key to the digital transformation of the industry.
With the continuous improvement of edge intelligence technology and solutions, AI scenario-based applications will also gradually be implemented in industries with a good foundation of informatization, such as automobiles, consumer electronics, clothing, steel, and chemicals. As the soul of edge intelligence, edge AI chips have an important position. Edge devices can only be called true edge intelligence if they obtain autonomous computing capabilities through AI chips.
Edge AI chips have unique advantages.
Although edge AI chips are not as advanced as cloud AI chips in terms of computational performance and technical advancement, they still have unique advantages that are irreplaceable. They are generally as follows: 1. Protect data security and privacy; 2. Can still be used in poor network connections; 3. Reduce power consumption; 4. Low latency data transmission; 5. Low-cost deployment.
According to Deloitte's analysis on the electronic engineering album, the market size of AI chips (including edge and cloud) will grow from about 6 billion US dollars in 2018 to 90 billion US dollars in 2025, with a compound annual growth rate of up to 45% during this period. By 2024, shipments of edge AI chips will increase to 1.5 billion units, an annual increase of at least 20%.
Risk warning.
The product market impetus fell short of expectations, the overall macroeconomic environment declined, and the technology route changed.