With the rapid development of Artificial Intelligence (AI), the Internet of Things (IoT), and 5G technology, the security video surveillance industry is undergoing an unprecedented transformation towards intelligence. As the core component of video surveillance systems, the performance of System on Chip (SoC) directly affects the device’s image processing capabilities, AI computing power, and energy efficiency. This article will provide a comprehensive analysis of the security video surveillance SoCs for 2025, covering technical trends, market landscape, leading manufacturers, and future development directions.
1. Core Chip Technology Architecture
1. IPC SoC Chips
As the core processor of smart network cameras, these chips integrate ISP image processing engines and efficient video encoding modules, fully supporting H.264/H.265/AV1 encoding standards. The new generation of products generally integrates AI acceleration cores (computing power of 3-10 TOPS), enabling intelligent analysis functions at the front end. A typical product is the Sigmastar SSC388G, which supports 8MP ultra-clear imaging, AI-ISP real-time optimization, and multi-device collaborative processing.
2. ISP SoC Chips
Professional-grade image processors significantly enhance imaging quality in complex environments through algorithms such as 3D digital noise reduction and multi-frame wide dynamic range synthesis. A representative model is the Fuhang Micro FH8553, which features intelligent exposure control and ultra-low light enhancement capabilities.
3. DVR/NVR SoC Chips
DVR chips focus on the digital processing of analog signals, while NVR chips emphasize the management of multiple network video streams. By 2025, domestic solutions have achieved key technological breakthroughs in 4K/8K ultra-high-definition decoding and 32-channel video synchronous processing.
2. Market and Technology Development Characteristics
• Localization Process: Domestic chip manufacturers have a combined market share of 83%, forming a matrix of leading companies such as Starry Sky Technology, Fuhang Micro, and Rockchip.
• Intelligent Integration: Edge AI computing power has generally increased to over 5 TOPS, supporting the deployment of Transformer models on the edge.
• Energy Efficiency Revolution: Utilizing advanced processes of 22nm/14nm, standby power consumption has been reduced to below 0.5W.
3. Competitive Analysis of Leading Manufacturers
1. Starry Sky Technology (36.5% market share)
As the world’s largest IPC SoC supplier, its product line covers 2MP-12MP smart cameras, integrating self-developed NPU architecture.
2. Fuhang Micro (21.5% market share)
Technical Highlights:
– 5 Megapixel real-time processing
– Third-generation AI-ISP engine
– Military-grade reliability design
3. Rockchip
Differentiated Advantages:
– 6 TOPS heterogeneous computing architecture
– Automotive-grade chip solutions
– Industrial-grade temperature adaptability
4. Specialty Manufacturers
Junzheng: Ultra-low power design (0.3W@1080p)
Ambarella: 8K ultra-high-definition solutions
Aixin Yuanzhi: Multi-modal perception chips
4. Typical Application Evolution
1. Smart Cities
Deploy intelligent cameras that support thermal imaging + visible light fusion to achieve:
– Millisecond-level recognition of abnormal behavior
– Prediction and early warning of group events
– Multi-dimensional perception of environmental parameters
2. Industrial Inspection
The new generation of industrial vision solutions features:
– Micron-level defect detection
– Real-time quality feedback on production lines
– Adaptive learning capabilities
Technological development shows three major trends: the ubiquity of edge computing, scenario-based AI analysis, and autonomous system decision-making, driving the upgrade of security monitoring to intelligent perception networks.
