- BYD has raised the price of its LiDAR-based ADAS system due to sharp increases in global memory chip costs.
- Rising DRAM and NAND prices are emerging as a major cost driver for advanced automotive software systems.
BYD has raised the price of its “God’s Eye B” LiDAR-based advanced driver assistance system from 9,900 yuan to 12,000 yuan, reflecting increasing pressure from global semiconductor and storage hardware costs. The revised pricing will be applicable from May 1, 2026, while customers who place deposits before April 30 will continue to benefit from the earlier pricing structure. The update impacts selected models across the Dynasty, Ocean, and Fang Cheng Bao product lines depending on configuration.
Memory Cost Surge Driving ADAS Pricing Changes
The company attributed the price revision primarily to rising costs of high-speed memory components required for ADAS functionality. These systems rely heavily on DRAM and NAND storage to process LiDAR-generated point cloud data, execute onboard algorithms, and manage large-scale driving datasets. Since late 2025, global automotive-grade memory prices have surged significantly due to increased demand from AI infrastructure and constrained semiconductor supply chains, creating cost pressure across the automotive electronics ecosystem.
Sharp Increase in DRAM and NAND Prices
Industry reports indicate that DRAM contract prices rose by nearly 90% in the first quarter of 2026 alone, with certain segments experiencing even steeper increases. This sharp escalation has shifted memory chips from a secondary component cost to a central factor influencing ADAS system economics. The growing dependency on high-performance computing within vehicles has amplified the sensitivity of automakers to semiconductor price fluctuations.
Automotive Memory Price Trend Overview
| Component | Price Trend (2026) |
|---|---|
| DRAM | ~90% increase in Q1 |
| NAND | Sharp upward trend |
Growing Data Scale Increasing Hardware Demand
BYD reported that its “God’s Eye” system has already been deployed in over 2.85 million vehicles as of March 2026. These vehicles collectively generate approximately 180 million kilometers of driving data every day. While this scale supports continuous improvement of ADAS algorithms through data-driven training, it simultaneously increases demand for onboard storage capacity and high-performance processing hardware, further intensifying reliance on memory components.
Semiconductor Volatility Reshaping ADAS Economics
The price adjustment marks one of the first clear instances where semiconductor cost inflation is directly passed on to customers in the form of optional ADAS pricing. Previously, automakers often absorbed such fluctuations within overall vehicle pricing strategies. However, analysts now observe that memory chip volatility has surpassed even battery cost fluctuations in influencing autonomous driving development timelines.
Industry-Wide Impact of AI Infrastructure Demand
Global semiconductor supply is increasingly being dominated by AI data center requirements, which consume a large share of DRAM and NAND production. This shift has reduced availability for automotive applications, tightening supply conditions. As a result, ADAS systems that depend on LiDAR processing and high-bandwidth computation are becoming more exposed to semiconductor market cycles.
Long-Term Outlook for ADAS Cost Structure
Industry projections suggest that the memory chip market is entering a multi-year upcycle, with elevated pricing expected to persist through 2027. This trend positions semiconductor components as a critical cost driver for EV platforms, particularly for advanced driver assistance systems. The situation is also prompting discussions around standardization of chips and system architectures to mitigate cost volatility and improve scalability across the automotive sector, especially in China.
Frequently Asked Questions
Why did BYD increase the price of its God’s Eye B ADAS system?
The price increase is primarily due to rising global memory chip costs, particularly DRAM and NAND, which are essential for ADAS data processing and storage. These components have seen sharp price increases driven by AI infrastructure demand and supply constraints. As ADAS systems rely heavily on high-speed memory for LiDAR data processing and algorithm execution, the cost pressure has directly impacted system pricing, leading BYD to adjust its optional ADAS pricing accordingly.
How do memory chips impact ADAS system performance and cost?
Memory chips such as DRAM and NAND play a critical role in enabling ADAS functionality by supporting real-time data processing, storage of driving data, and execution of AI models. As ADAS systems scale and generate more data, their dependency on high-performance memory increases. Rising memory costs directly influence the overall system cost, making semiconductor pricing a key factor in determining ADAS affordability and deployment across modern vehicles.