Global Automotive LiDAR System on Chip (SoC) Market: Trends, Growth Drivers,..

BIS Research

The Automotive LiDAR System-on-Chip (SoC) Marketis emerging as a key enabler in the development of autonomous driving systems, advanced driver-assistance systems (ADAS), and safer, smarter vehicles. LiDAR (Light Detection and Ranging) technology uses laser pulses to create high-resolution, three-dimensional maps of the environment around a vehicle. When integrated into a single chip, or System-on-Chip (SoC), LiDAR systems provide compact, power-efficient solutions for next-generation vehicles.

Understanding Automotive LiDAR System-on-Chip (SoC)

A System-on-Chip (SoC)integrates all components of a computer or electronic system onto a single microchip. In the case of LiDAR SoCs, this includes the laser source, sensors, data processing units, and other essential components required to generate and interpret LiDAR signals. Integrating LiDAR into an SoC reduces size, weight, power consumption, and cost, making it ideal for automotive applications where space and energy efficiency are crucial.

The automotive LiDAR system-on-chip (SoC) marketis expected to be valued at $29.3 million in 2024, which is anticipated to grow at a CAGR of 24.30% and reach $207.5 million by 2033 during the forecast period 2024-2034.

Key Market Trends in Automotive LiDAR SoC

Growing Demand for Autonomous Vehicles:

• LiDAR is essential for enabling Level 4 and Level 5 automation in autonomous vehicles.
• Provides accurate 3D mapping and object detection for safe navigation.
• LiDAR SoCs are compact and affordable, supporting mass-market adoption.
• The rising interest in self-driving cars is fueling LiDAR SoC market growth.

Advancements in Solid-State LiDAR:

• Solid-state LiDAR, with no moving parts, offers higher reliability and cost-effectiveness than traditional mechanical systems.
• Solid-state LiDAR SoCs enhance durability, lower production costs, and simplify integration into automotive platforms.
• This technology shift makes LiDAR more accessible to OEMs, accelerating adoption in the automotive sector.

Cost Reduction Through Integration:

• System-on-Chip technology consolidates components on a single chip, reducing LiDAR system size and cost.
• Lower-cost LiDAR SoCs enable automakers to include this technology in a wider range of vehicles, including mid-range and entry-level models.
• Cost reduction through SoCs is a key driver of LiDAR's adoption in consumer vehicles.

Focus on Power Efficiency and Miniaturization:

• Compact, power-efficient LiDAR SoCs are essential for automotive requirements.
• Power-efficient SoCs reduce energy consumption, beneficial for EVs with limited battery capacity.
• These compact chips integrate seamlessly, supporting energy efficiency and extending vehicle range.

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Market Growth Drivers

• Rising Need for Enhanced Vehicle Safety
• Government Initiatives and Regulations
• Expansion of Electric Vehicles (EVs)
• Collaborations and Investments by Key Industry Players

Key Market Applications of Automotive LiDAR SoC

• Advanced Driver-Assistance Systems (ADAS)
• Autonomous Vehicles (Levels 4 and 5)
• Smart City and Infrastructure Integration

Future Outlook for the Automotive LiDAR SoC Market

The automotive LiDAR SoC marketis poised for robust growth as autonomous driving technologies evolve and LiDAR SoCs become more affordable. Key trends shaping the future include:

Expansion into Consumer Vehicles:

• As LiDAR SoCs become more affordable, they are expected to expand from premium to mid-range and entry-level vehicles.
• This shift will make advanced safety and autonomous driving features accessible to a broader market.

Development of Hybrid Sensor Systems:

• Integrating LiDAR with other sensors, like cameras and radar, enhances perception accuracy.
• Hybrid sensor systems enable safe operation in diverse environments, from urban traffic to rural roads, strengthening LiDAR's role in autonomy.

Advances in Power Efficiency and Thermal Management:

• Power-efficient LiDAR SoCs are essential for integration in electric vehicles, supporting long-term reliability.
• Innovations in chip design and materials will boost power efficiency, extending EV driving ranges for models equipped with LiDAR.

Increased Focus on Edge Computing:

• Edge computing is growing in automotive applications, reducing latency by processing data closer to the source.
• Future LiDAR SoCs may integrate edge computing, enabling real-time, on-vehicle data analysis without relying on cloud processing.

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Conclusion

The Automotive LiDAR System-on-Chip (SoC) Industryis a rapidly growing sector, driven by advancements in autonomous driving, demand for safer vehicles, and the rise of electric mobility. As LiDAR SoCs become more compact, cost-effective, and power-efficient, they are positioned to play a central role in the automotive industry's shift toward autonomy and sustainability. By overcoming challenges related to cost, integration, and data processing, LiDAR SoCs will pave the way for a safer, more connected, and increasingly autonomous future in automotive technology.