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In-Depth Analysis of the Technological Competitiveness of BYD's "Sky Eyes" Intelligent Driving System

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January 11, 2026

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In-Depth Analysis of the Technological Competitiveness of BYD's "Sky Eyes" Intelligent Driving System

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In-Depth Analysis of the Technological Competitiveness of BYD’s “Sky Eyes” Intelligent Driving System
I. Core Technical Architecture and Performance Advantages
1.1 Three-Tier Technology Matrix Layout

BYD’s “Sky Eyes” Intelligent Driving System adopts a differentiated layered strategy, building a technology matrix covering the full price range [1]. The system is divided into three versions:

Sky Eyes A (DiPilot 600)
: Positioned as a top flagship, it is equipped with three lidars and dual NVIDIA Orin X chips, with computing power reaching 508 TOPS. It is mainly installed on high-end models priced above RMB 300,000 such as Yangwang and Denza, and supports nationwide mapless navigation and Yi Sifang Parking functions [2].

Sky Eyes B (DiPilot 300)
: Targeting the mid-to-high-end market, it is equipped with a single lidar, supports nationwide mapless navigation and Yi Sanfang Parking, and is mainly applied to models in the RMB 200,000 class such as Han and Tang. It adds the City NOA function, which can realize automatic lane changing, overtaking and traffic light recognition on urban roads [3].

Sky Eyes C (DiPilot 100)
: Focusing on the cost-effective market, it adopts a pure vision solution, supports Highway NOA and valet parking, with hardware costs reduced to less than RMB 2,000, successfully sinking high-level intelligent driving to the RMB 70,000 price segment [3].

1.2 Independent and Controllable Supply Chain

The localization rate of the “Sky Eyes” system exceeds 90%, forming a complete independent and controllable supply chain system [4]. In terms of core chips, it adopts Horizon Journey 5 and NVIDIA Orin series, among which the Horizon solution has been widely applied to models in the RMB 100,000 class. Lidar suppliers include leading domestic manufacturers such as RoboSense and Hesai, while camera modules are supplied by enterprises such as Sunny Optical and O-film [4]. This supply chain structure ensures that BYD can maintain stable supply of intelligent driving systems even in the face of external technological blockades.

1.3 Empirical Test Performance

According to the latest test data, BYD’s “Sky Eyes B” has completed actual tests on 22 expressway ETC toll stations in Beijing, covering 162 stations and 1,800 kilometers, verifying the system’s reliability in actual complex road conditions [1]. This test shows that BYD’s intelligent driving system has mature application capabilities in high-speed scenarios, laying a technical foundation for the subsequent expansion of City NOA functions.


II. Data-Driven Technological Iteration Advantages
2.1 Large-Scale Data Accumulation

Relying on the scale advantage of the world’s largest new energy vehicle manufacturer, BYD has established an industry-leading intelligent driving data ecosystem. As of the end of October 2025, the cumulative sales of vehicles equipped with the “Sky Eyes” system have exceeded 2 million, generating more than 130 million kilometers of valid driving data per day [4]. This data scale has approached the global data accumulation speed of Tesla FSD, providing sufficient training materials for algorithm iteration.

BYD’s intelligent driving team revealed that the system’s algorithm model is updated once a month, and each update is based on tens of millions of kilometers of real road condition data [4]. This closed-loop iteration capability of “Data-Training-Deployment” enables “Sky Eyes” to quickly adapt to China’s complex road traffic environment, including “China-specific” scenarios such as bicycle lanes, electric vehicle flows, and irregular traffic lights.

2.2 R&D Investment and Team Building

BYD’s investment in the field of intelligent driving continues to increase. The company has formed a full-time intelligent driving R&D team of over 5,000 people, and plans to invest a total of more than RMB 100 billion in the intelligent field [5]. This investment scale is at the leading level in the domestic automotive industry, reflecting BYD’s strategic emphasis on intelligent driving technology.

The team adopts a dual-line parallel development strategy of “Independent R&D + Open Cooperation”, which not only strengthens full-stack independent R&D capabilities (including computing power chips, algorithms, large models, etc.), but also maintains in-depth cooperation with suppliers such as NVIDIA, Horizon, Momenta, Huawei, and DJI [2]. This strategy not only ensures the independent controllability of core technologies, but also makes full use of the expertise of industry chain partners.


III. Analysis of Market Share Impact
3.1 Breakthrough Growth in Intelligent Driving Penetration Rate

The implementation of BYD’s “Universal Intelligent Driving” strategy has brought about a significant jump in the penetration rate of intelligent driving. Official data in May 2025 shows that the penetration rate of intelligent driving in new vehicles reached approximately 80% that month, meaning 4 out of every 5 vehicles sold are equipped with intelligent driving systems [3]. This penetration rate far exceeds Tesla’s FSD penetration rate of approximately 30% in the Chinese market and XPeng’s XNGP penetration rate of approximately 50%.

In November 2025, BYD’s monthly sales reached 480,200 vehicles, of which approximately 380,000 were intelligent driving versions [3]. The monthly sales of intelligent driving vehicles alone exceeded XPeng Motors’ cumulative total sales from January to November 2025 (over 300,000 vehicles), forming a significant scale advantage over competitors.

3.2 Continuous Consolidation of Market Share

In 2024, BYD’s new energy vehicle sales market share reached 33.2%, firmly ranking as the industry leader [6]. The full-year sales target for 2025 is 5.5 million vehicles, corresponding to a year-on-year growth of approximately 30%, with an overseas sales target of 800,000 vehicles [6]. The standard configuration of intelligent driving functions will further strengthen BYD’s competitive advantage in the mainstream price range (RMB 70,000 - 200,000), promoting continuous growth in market share.

CITIC Securities estimates that in 2025, sales of BYD models equipped with Highway Navigation (DiPilot 100) are expected to reach 800,000 - 1,000,000 units [7]. Considering BYD’s annual total sales target of 5 million vehicles, intelligent driving version models will become the core driver of sales growth.

3.3 Reshaping of the Competitive Landscape

BYD’s “Add Features Without Increasing Price” strategy has had a profound impact on the industry’s competitive landscape. Intelligent driving functions have shifted from the previous “Optional Extra Charge” model to “Standard Configuration for All Models”, directly impacting new car-making forces such as XPeng, Li Auto, and NIO, which take intelligent driving as their core selling point [3]. These brands face a difficult choice: following the price reduction will pressure profits, while maintaining high prices will lead to market share loss.

For joint venture brands, BYD’s intelligent driving strategy has brought dual pressures of “Electrification + Intelligence”. Against the background of lagging electrification transformation and lack of intelligent driving configurations, joint venture car companies face the risk of accelerated market share shrinkage.


IV. Comparative Analysis of Technological Competitiveness
4.1 BYD vs. Tesla FSD

Tesla FSD was officially launched in China on February 25, 2025, providing consumers with an opportunity for direct comparison [4]. From the perspective of technical routes, there are significant differences between BYD and Tesla:

Comparison Dimension BYD “Sky Eyes” Tesla FSD
Technical Solution Pure Vision + Lidar (High-end Version) Pure Vision
Hardware Cost RMB 2,000 - 8,000 Additional RMB 640/month subscription fee
Localization Adaptation Optimized for Chinese road conditions Mainly trained based on US data
Pricing Strategy Standard configuration for all models without price increase Subscription-based payment

BYD’s advantages lie in its in-depth adaptation to China’s complex road conditions and precise control of the price-sensitive market. However, Tesla FSD still has an advantage in the “humanization” of driving decisions such as lane changing and overtaking [4].

4.2 BYD vs. Huawei, XPeng

In the higher-level City NOA field, there is still a gap between BYD and leading intelligent driving car companies such as Huawei, XPeng, and Li Auto [2]:

Huawei ADS 3.0
: Adopting an “end-to-end” architecture, it has implemented the “parking spot to parking spot” function push, and its performance in complex urban scenarios is at the industry-leading level. Huawei and BYD have carried out cooperation on the Fang Cheng Bao brand, but the high-end market still mainly uses Huawei’s self-developed solutions.

XPeng XNGP
: XPeng’s average total takeover times are 1.51, with excellent performance in roundabout capabilities and intelligent driving U-turn success rate, and its overall intelligent driving performance is outstanding [8]. In terms of technological innovation, the gap between XPeng and BYD is narrowing.

Li Auto
: It has also implemented the “parking spot to parking spot” function push, and has established a good reputation in user experience and driving comfort.

CITIC Securities analysis believes that the more important significance of BYD’s intelligent strategy in 2025 is to accelerate the penetration of Highway NOA intelligent driving functions, while Huawei and Li Auto’s leading advantages in the City NOA field are still obvious [2].


V. Analysis of Valuation Impact
5.1 Current Valuation Level

As of the close of trading on January 10, 2026, BYD (002594.SZ) closed at US$97.01 per share, with a market capitalization of US$87.375 billion [9]. Current valuation indicators include: P/E Ratio of 23.06x, P/B Ratio of 4.02x, and ROE of 17.62% [9]. The stock price has fallen 10% in the past 3 months and 9.4% in the past 6 months, mainly reflecting the market’s concerns about industry price wars and slowing growth.

5.2 DCF Valuation Analysis

Based on the DCF model calculation, BYD’s intrinsic value under three scenarios is as follows [10]:

Scenario Intrinsic Value Premium vs. Current Stock Price
Conservative Scenario US$326.17 +236.2%
Base Scenario US$2,915.91 +2,905.8%
Optimistic Scenario US$5,502.84 +5,572.4%

The WACC calculation is based on: Beta coefficient of 0.42, risk-free interest rate of 4.5%, and market risk premium of 7.0%, resulting in a weighted average cost of capital of 7.3% [10]. The DCF model shows that the current market price is significantly lower than the company’s intrinsic value, implying a large valuation repair space.

5.3 Driving Logic of Intelligent Driving Technology on Valuation

The impact of intelligent driving technology on BYD’s valuation is mainly reflected in the following dimensions:

1. Market Share Premium
: The standard intelligent driving configuration strategy strengthens BYD’s pricing power in the mainstream market, and is expected to drive the market share from 33.2% to more than 40%. For every 1 percentage point increase in market share, it corresponds to approximately 500,000 incremental vehicle sales, which can contribute RMB 5 billion in net profit based on RMB 10,000 profit per vehicle.

2. Data Asset Value
: The 130 million kilometers of driving data generated daily by 2 million intelligent driving vehicles constitutes an irreplicable competitive barrier. As the data scale continues to expand, BYD’s advantages in end-to-end intelligent driving model training will become more prominent.

3. Valuation Logic Shift
: Traditional automakers usually use the asset valuation method (P/B), while companies with strong software capabilities and data assets can enjoy a tech company valuation premium (P/E). The advancement of BYD’s intelligent driving strategy is expected to drive the valuation system to shift to a tech stock logic.

4. Industry Chain Synergy Effect
: BYD Electronics (0285.HK), a listed company under BYD, whose main business includes intelligent cockpits, intelligent driving systems, etc., benefited from the volume growth of its parent company’s intelligent driving models, with its new energy vehicle business revenue increasing by 60.5% year-on-year in the first half of 2025 [6]. The internal industry chain synergy of the group will improve the overall valuation level.


VI. Investment Recommendations and Risk Warnings
6.1 Investment Highlights

The technological competitiveness of BYD’s “Sky Eyes” Intelligent Driving System can be summarized into the following investment highlights:

  1. Significant Cost Advantage
    : Relying on scale effects and domestic supply chains, the hardware cost of intelligent driving has been reduced to the lowest level in the industry, realizing the “Add Features Without Increasing Price” strategy.
  2. Solid Data Barrier
    : The data accumulation brought by the 2 million vehicle installation scale provides continuous motivation for algorithm iteration.
  3. Leading Market Share
    : A 33.2% market share combined with an 80% intelligent driving penetration rate forms a strong scale effect.
  4. Valuation Repair Space
    : The DCF model shows that the current stock price has an upside potential of over 200% compared to its intrinsic value.
6.2 Risk Factors

Investors need to pay attention to the following risks:

  1. Price War Risk
    : The intelligent driving equalization strategy may trigger an industry price war, compressing the overall profit space of the industry.
  2. Safety Risk
    : Intelligent driving systems involve driving safety. If a major safety accident occurs, it may have a negative impact on brand reputation and sales.
  3. Technological Iteration Risk
    : In the higher-level City NOA field, there is still a gap between BYD and Huawei, XPeng, which requires continuous investment to catch up.
  4. Policy Risk
    : The implementation progress of L3-level autonomous driving regulations may affect the promotion of high-level intelligent driving functions.

VII. Conclusion

BYD’s “Sky Eyes” Intelligent Driving System has successfully built a competitive intelligent driving system through a differentiated technology matrix, supply chain localization, and scale data advantages. This system has transformed high-level intelligent driving functions from “optional luxury items” to “standard configuration items for all models”, having a profound impact on the competitive landscape of the new energy vehicle market.

From the perspective of market share, the “Universal Intelligent Driving” strategy has increased BYD’s intelligent driving penetration rate to 80%, with monthly sales of 380,000 intelligent driving vehicles, forming an unmatched scale advantage over new EV startups. From the perspective of valuation, the market share growth, data asset value, and industry chain synergy effect brought by intelligent driving technology provide a solid foundation for BYD’s valuation re-rating.

Looking to the future, BYD has established a leading position in the Highway NOA field, but still needs to catch up with leading enterprises such as Huawei and XPeng in the City NOA field. With the continuous increase in intelligent driving penetration rate and iteration of end-to-end large model technology, BYD is expected to further narrow the gap with leading intelligent driving car companies in 2026 and consolidate its leading position in the new energy vehicle industry.


References

[1] Test Report of BYD’s “Sky Eyes B” Intelligent Driving System on ETC Toll Stations
[2] Guozheng International: BYD Intelligent Driving Special Report
[3] Baidu Youjia: Analysis of BYD’s Intelligent Driving Penetration Rate
[4] Autohome: Analysis of BYD’s Intelligent Driving Supply Chain
[5] Gasgoo: BYD’s Intelligent Driving Team and Investment Plan
[6] Sina Finance: BYD Electronics Research Report
[7] Wallstreet CN: CITIC Securities 2025 Intelligent Driving Research Report
[8] East Money: 2025 City NOA Test Drive Report of Mainstream Car Companies
[9] Jinling API: BYD Real-Time Quotation and Company Profile
[10] Jinling API: BYD DCF Valuation Analysis


Report Generation Date: January 11, 2026

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Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.