The development of the security industry is gradually becoming stable. For most security companies, the cold winter seems to have just passed, but the next severe cold will follow-AI companies enter security. For traditional security companies, the "invasion" of AI companies seems to have a certain impact, but traditional security companies are not too worried: AI companies, as newcomers in the security industry, do not have a deep understanding of security.
Security issues unfamiliar to AI companies
For AI companies, although security can be quickly cut in, cut-in and continuity are two issues. Cutting in is just cutting it down with a knife, but how much can you take away the cake of the security industry with one knife?
1. Long engineering time
Security engineering is different from other industries. The engineering time of different sub-industries is different. For example, the financial industry usually takes six months to one year, while the safe city or intelligent transportation project usually takes three to five years. The long engineering time directly leads to the problem of payment and cost of a project;
2. Expenses paid in advance
In security projects, it is commonplace for companies to pay for projects out of their pockets. When the integrator starts the construction of the security project, the user will pay according to the progress of the project, and when there are problems such as contract changes in the middle, the company needs to advance the project payment by itself;
3. Maintenance period
In the past security projects, most companies can complete the project. For users, the maintenance of security equipment has become an important issue in the later stage. In order to improve this problem, most users will incorporate the cost of equipment maintenance into the security Under construction. It is understood that the city security system requires a 90-95% intact rate during the maintenance period;
4. Arrears
Most of the security projects are not core projects for users, and because of the long engineering time, when the user changes the person in charge, it is prone to wrangling incidents;
5. Software that is "not valuable"
In the past security projects, the software is usually "given" to users as ancillary content, and users have insufficient knowledge of the software. Although after several years of "cultivation", users have gradually realized the role of software, but some "coming people" still maintain their understanding of software in the "free" era.
At present, most of the assets of AI companies are derived from financing. If they vigorously deploy the security industry, the final result will be bankruptcy due to difficulty in capital turnover. Most of the current AI companies are only supported by a few small and medium-sized projects and use the established ones. As the foundation of security engineering, focusing on back-end intelligence, gradually involved in the security industry.
Security environment: not so beautiful
However, for AI companies, the overall security market environment is not optimistic. In addition to the pressure of giants, other security companies' pursuit of the market cannot be ignored.
1. Brand advantage
For AI companies, although they have powerful algorithm capabilities, for security users, algorithms are not the only ones. It is understood that most users will choose recommendations from peers rather than reports from the media or companies when selecting devices;
2. Grab customers and understand needs
Although AI companies are involved in the security industry, they do not understand the needs of users as much as traditional security companies. In order to understand the needs of users, traditional security companies have gone deep into frontline users for many years. From the experience of equipment users to the needs of senior management, there are related data reports. AI companies have not yet met this requirement;
3. "One-stop" service
After decades of development, traditional security companies have already formed a complete industrial chain. The relationship between upstream equipment suppliers and downstream engineering companies has been very close. When problems occur, they can quickly mobilize nearby personnel for maintenance.
Security, you don’t want to play
For current AI companies, compared with traditional security companies, their main advantages are reflected in the accuracy of algorithms and back-end processing capabilities. In addition, in terms of products, brands, after-sales and other aspects, AI The enterprise does not have many advantages. For traditional security companies, in addition to the preliminary design and construction of the security project construction, there are also issues such as equipment maintenance in the later years. Project engineering does not mean that the construction can be completed. From the front-end equipment to the back-end UI design, one is required. In the beginning, even the emergency plan was designed by the security company.
Judging from the services that AI companies can currently provide, if you want to fully penetrate the security market and cut some of the cakes, it will take more time to in-depth and understand the industry.
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