AI-integrated security and surveillance companies face new growth opportunities, as AI accelerates the innovation and renewal of security products.

Driven by the rapid advancement of deep learning algorithms, intelligent security systems are seeing increasingly widespread adoption. Responding to downstream demand for video security products, operational services offer significant market potential, representing a key future direction for my country's security industry. After decades of development, the industry has established a clear competitive hierarchy; well-known players like Hikvision, Dahua Technology, and Uniview consistently rank among the top three, while innovative tech companies such as SenseTime, Megvii, and Yitu Technology have also entered the sector.

How did the current security market landscape take shape, and how will it evolve in the future? For the security industry, the greatest value of artificial intelligence lies in video structuring technology, which enables intelligent analysis of massive video datasets and proactive early warning capabilities—this constitutes the primary service and revenue stream that AI companies offer to security industry clients. The goal of "AI + Security" is no longer merely to analyze structural relationships between people or between people and vehicles, but to autonomously determine "who you are." AI technology is poised to replace many traditional security technologies in the near future, and the industry has reached a critical juncture where success depends on core technological capabilities.

Integration of Front-end, Back-end, Cloud, and Edge in Security Products

The early wave of IT adoption compressed the product lines and industrial structure of security systems, specifically shifting back-end systems toward the "cloud" and front-end products toward the "edge" (or standalone intelligent devices). The "cloudification" of back-end systems has diminished the emphasis on traditional system integration, streamlined intermediate processes, and spawned new business models centered on security operational services.

The shift of front-end products toward the "edge" means they are no longer merely data-gathering devices; instead, they can download services on demand from the cloud based on specific application scenarios. The advent of AI has enabled the rapid cloud-based integration of front-end and back-end computing resources, facilitating comprehensive, visualization-based sensing systems and interconnected video cloud platforms.

While the integration of front-end and back-end systems did not originate with AI, the rise of AI-driven applications has made "cloud-edge integration" a key trend currently reshaping the "AI + Security" industry.