2026 Global AI Edge Computing IC Market: SAM and Thermal Imaging Penetration Analysis Report
I. Total SAM Projection for AI Edge Computing ICs
By 2026, the global Serviceable Addressable Market (SAM) for AI Edge Computing ICs is expected to reach approximately US$115 billion. This SAM represents the total demand for chips capable of executing on-device AI inference tasks across smartphones, autonomous vehicles, industrial robotics, medical devices, and intelligent surveillance terminals. As the demand for edge-based processing grows, this figure defines the actual market space available for semiconductor manufacturers.
II. Output Value Distribution in Vision and Thermal Imaging
Within the total SAM, the share related to visual perception (including thermal, visible light, and radar fusion) is approximately US$62 billion. This is further categorized into two main segments:
1. Integrated Vision Systems with Thermal Redundancy: This segment accounts for 18% to 22% of the total Edge AI IC SAM, with a projected value between US20.7 billion and US25.3 billion. It includes fusion perception chips for L3/L4 autonomous driving and multi-sensor processors for smart cities.
2. Dedicated AI Processing for Thermal Imaging Modules: This segment accounts for 4% to 5.5% of the total SAM, valued between US4.6 billion and US6.3 billion. These are specialized AI cores, such as NPUs or micro-SoCs, embedded within thermal modules for image calibration, noise reduction, and basic recognition.
III. Analysis of AI Penetration by Application Demand
In 2026, the penetration rate of AI Edge ICs varies across different thermal imaging resolutions:
In the High-end Medical and Professional market (WQHD / Full HD), the penetration rate has reached 98%. AI Edge ICs are now a standard requirement due to high data volumes and the need for diagnostic precision.
In the Automotive and Industrial Inspection market (VGA), the penetration rate is 85%. Due to autonomous driving regulations, VGA modules without local AI inference are increasingly excluded from mainstream supply chains.
In the Consumer and Handheld device market (QVGA), the penetration rate is around 40%. While low-end products for simple observation still exist, the proportion of non-AI devices is shrinking annually.
IV. Growth Drivers and Market Value Factors
1. Vertical Integration of Algorithms and Silicon: The market has shifted toward specialized accelerators optimized for infrared thermal signatures. These chips provide five times the recognition speed at the same power level, which is a primary driver for SAM growth.
2. Technical Dividend of Full-Vision Fusion: Processing thermal and visible light data simultaneously requires higher computing power and memory bandwidth. This leads to the adoption of higher-priced SoCs, increasing the value of integrated vision systems within the market.
V. 2026 Strategic Conclusion
Integrated vision applications have become one of the most profitable sub-segments of the AI Edge Computing IC market. Although pure thermal imaging accounts for only about 5% of the total SAM, it commands a high price premium. For chip manufacturers, providing specialized instruction sets for processing Radiometric Data is the key factor for success in this multi-billion dollar market.
