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The rankings cover the Top-20 ADAS Tier-1s, including APTIV, Bosch, Continental, Denso, Mobileye, Valeo, and ZF, Baidu, Alibaba, Amazon, Huawei, Foxconn and others. Learn about the technological capabilities of suppliers in sensors, features, computing and software to deliver Level 1-4 cruising and parking. Understand the strategies, including partnerships, investments, M&A, new product launches, supply chain…
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Key findings
Auto2x has released its “Supplier Readiness in Level 4 Autonomous Driving Rankings” report, offering insights into the evolution of the competitive landscape of Advanced Driver Assistance Systems (ADAS) and the roadmaps to Level 4 autonomous driving from technology providers.
The rankings cover the Top-20 ADAS Tier-1s, including APTIV, Bosch, Continental, Denso, Mobileye, Valeo, and ZF, in addition to Baidu, Alibaba, Amazon, Huawei, Foxconn and others.
To assess the Supplier Readiness we quantify
To succeed in the Autonomous Driving race suppliers must be competitive across 3 parameters:
Foresee changing market needs amid volatility by investing in the right tech, market at the right time.
Identify new revenue pools from new innovation, market consolidation, such as shift of revenue pools in Asia.
Adapt to changing needs and emerging markets to build new revenues or maintain.
Leaders are threatened by new entrants such as Tech Giants with AI, Cloud or in-house
Use the interactive graph to learn about the strategies of major suppliers and carmakers.
Let’s have a look at some of them taking the example of Bosch, the world’s biggest automotive supplier by revenue.
This parameter captures:
Auto2x assessed the readiness levels of major Tier-1 suppliers and emerging players based on their technological competitiveness, their strategy execution and their market positioning.
The first parameter, Technology Competitiveness, captures the product portfolio of sensors, features, architecture, software stack and innovation (patents).
Auto2x assesses that APTIV and Continental have high readiness levels in Level 4 Autonomous Driving Technology due to their mature offering in Lidar, Software stack and Computing Platforms.
Baidu offers competitive technology due to Apollo’s strengths.
Bosch and Mobileye lead the pack in this parameter, with strong in-house capabilities, a partner ecosystem in high-growth areas and investments in key markets.
Continental is a 100% system supplier from design and manufacturing to validation and expansion to new services in system integration and functions. This makes them well-positioned.
Major Automotive Tier-1 Suppliers like Bosch, ZF, Valeo, Denso and Continental still maintain the lion’s share in terms of automotive revenues.
Furthermore, their revenues from ADAS, electrification and new mobility business models are increasing. ADAS revenues from the Top-12 Suppliers rose 12.5% in 2021 y-y to €16 Billion. Auto2x expects it will double by 2025 to €35 Billion.
Continental led the ADAS market by revenues between 2015 and 2018, mainly by capitalising on its dominance in the camera market.
But they were overtaken by Bosch in 2019, who leads the market by ADAS revenues since then. The contracts with OEMs for ADAS and the ability to support driving and parking features for higher levels of automation are strengths.
Auto2x found that Bosch leads the ADAS market by revenues from sensors for Level 1-2 features, but they lag in Technology Readiness for Level 4 Autonomous Driving.
Another success story is Mobileye which spearheads INTEL’s Autonomous Driving strategy and has captured a large share in ADAS. Mobileye ranks at the Top-3 of Auto2x’s Ranking of Suppliers by Readiness in level-4 Automated Driving.
The Top-4 Automotive Suppliers of ADAS are all European, Bosch, Valeo, ZF and Continental, according to Global ADAS Ranking by Revenues. The 4% growth in automotive production in 2022 and the higher sensor fitment for Level 2-3 systems benefited their ADAS sales and Order Books.
But major automotive suppliers face further transformation to develop capabilities in AI and software, expand into software business models and face new competition.
Automotive companies face several challenges in achieving Level 4 autonomy, including the need for advanced sensor technology and high-performance computing platforms to process vast amounts of data in real time.
Regulatory hurdles and safety standards must be navigated to ensure compliance and public acceptance of autonomous vehicles.
Significant investments, research and development, and partnerships are required to build the necessary infrastructure and technology ecosystem for successful deployment.
Suppliers face risks from increased competition, particularly from tech giants and emerging players that leverage AI and cloud technologies, potentially disrupting traditional supply chains.
The transformation of carmakers into mobility service providers pressures suppliers to adapt quickly to software-driven models, which may require significant investment and restructuring.
Additionally, the shift from hardware to software monetization poses challenges for suppliers reliant on traditional revenue streams, necessitating the refinement of their business strategies to remain competitive.
Software-on-Wheels revolution will determine Mobility’s future
Electrification, automated driving, shared mobility and connectivity push for more dedicated software development. A large part of hardware-oriented systems becomes more standardized and commoditized.
The growing number of ECUs with sophisticated software leads to significant cost increases, higher in-vehicle software complexity and constraints in optimising vehicular functions.
Next-generation Digital vehicles must integrate new, diverse technologies and complex logical operations; the hardware architecture has to support advanced software functionality and upgradability.
New partnerships and new business models are emerging.
What are some key new Software-driven features with high potential?
Software is the answer to the Digitization of the Automotive Industry but delivery is challenging.
Learn about top innovation clusters across major technological building blocks of SDVs.
• EE Architectures: Assess the roadmaps of leading carmakers and suppliers in the development of centralized architectures and their partnerships;
• CarOS: Learn about the rising adoption of Google’s Android Automotive OS and the competitive offerings from MBUX and other players;
• Open-source software development
• Cloud: the emergence of automotive cloud as an enabler for cloud-based ADAS development, development of offerings from carmakers and the role of Microsoft, Amazon among others;
• Over-the-Air-updates and the opportunities for features-on-demand;
• Digital Twin
New technologies like AI and cloud computing are crucial for the future of autonomous driving as they enable advanced data processing, real-time decision-making, and scalable software updates.
AI enhances vehicle perception and autonomy through machine learning and in-car assistants, while cloud computing supports efficient feature development and system integration.
Together, they facilitate the transition to higher levels of automation and improve overall vehicle performance and safety.
The integration of AI and cloud computing will change the consumer experience in autonomous vehicles
Integrating AI and cloud computing will significantly enhance the consumer experience in autonomous vehicles by enabling personalized in-car services, such as tailored entertainment and real-time navigation assistance.
Cloud computing allows for continuous updates and feature enhancements, ensuring vehicles remain up-to-date with the latest technology and safety features.
Additionally, AI-powered virtual assistants can provide seamless interaction, improving convenience and overall satisfaction during travel.
Traditional ADAS suppliers still maintain the lion’s share in automotive supplier revenues. But they face competition from US, Chinese and other Tech giants who capitalize on their expertise in AI, Cloud and Software transforming automotive.
In the 2020s the vehicle’s software value will exceed that of hardware as carmakers shift to more common platforms to achieve cost savings and existing players are forced to move away from vertically integrated, asset-heavy business models to compete with new entrants.
Software will be crucial for product differentiation such as new features, content, and new personalized experiences.
We have identified several opportunities for Tech Companies to enter or disrupt the existing supply chain.
• Next-gen Perception Hardware for Autonomous Driving
• Computing, e.g. Peta-ops chips for Autonomous Driving
The computing power required for a
– Lv.2 vehicle is 10 TOPS (tera operations per second),
– Lv.4 exceeds 100 TOPS,
– Lv.5 vehicle will require a 1,000 TOPS computing processing power.
• AI: AI for Autonomy and HMI such as in-car AI assistants
• Data-based Business models such as in-car e-commerce
• 5G-6G, Connected Infrastructure and Smart Cities
• Autonomous Shared Mobility and autonomous deliveries
What should suppliers do to stay relevant in autonomous driving, gain competitive advantage and market share?
Suppliers should invest in next-generation technologies, such as advanced perception hardware, AI, cloud computing to meet the evolving demands of autonomous driving.
Another important aspect is building competence in Autonomous Driving software and sensors needed by carmakers to develop higher autonomy.
They should also adapt their strategies to identify new revenue pools and collaborate with innovative partners to tap into high-growth opportunities.
By forming commercial and product development partnerships with volume carmakers to support their connected, electric and ADAS roadmaps. The AI and connectivity domains in the booming Chinese market are crucial for new AD Suppliers to claim market share from global Tier-1s.
Additionally, suppliers must continuously assess competition and enhance their product offerings to maintain a competitive edge in the market.
Finally, fuel investments in innovative technologies and business models incl. robotaxis, and last-mile delivery.
What are some key market entry strategies for new suppliers?
Key market entry strategies for new suppliers include forming strategic partnerships with established players, investing in innovative technologies, and focusing on niche markets within the autonomous driving sector.
Technologies with potential for entry include next-gen perception hardware, AI for autonomy, and advanced computing solutions.
Which technologies show potential for them to enter and which countries?
Countries with promising opportunities for new suppliers include China, the USA, and in Europe, where demand for autonomous driving solutions is rapidly growing.
1. Supplier Readiness in Level 4 Autonomous Driving
2. Strategies and execution
3. Technology Competitiveness
3. Market Leadership and Positioning
5. Opportunities in ADAS and Autonomous Driving for Suppliers