Even in 2019, the combination of the security industry and AI is still far from mature. On the one hand, few companies mentioned above have the technical engineering capabilities of true full-stack products; on the other hand, because of industry characteristics: fragmentation. First of all, the security field is a very fragmented industry with many players. The biggest difference between the AI+ security industry chain and traditional security is that the relationship between upstream and downstream is not clear-cut. Security manufacturers, AI companies, and cloud service providers can provide products and services to customers through integrator channels or direct customer models. Some integrators can also Directly provide some hardware products and software technologies, there is a relationship of cooperation and potential competition between each role, and the ecology is relatively open.
The core players in the industry chain include upstream chip companies, AI companies, midstream security manufacturers, cloud service manufacturers, and downstream security integrators. This is determined by the characteristics of the security industry that have been formed over the decades - large-scale networking has not been effectively achieved, and there are data barriers. It is an industry that has really been left behind in the corner of informatization. The current monitoring is all based on districts and streets, all of which are distributed storage, and all data is not connected, so it is sms marketing service not even connected within itself, not to mention the matter of mobile Internet. This can also answer why so far, every security project based on face recognition has been carried out in a city or district; then it can explain the