Global Automotive LiDAR System-on-Chip (SoC) Market Size is valued at USD 29.1 Bn in 2024 and is predicted to reach USD 245.1 Bn by the year 2034 at a 24.0% CAGR during the forecast period for 2025-2034.
As an essential component of autonomous vehicles, automotive sensor chips can acquire external environment data for driverless vehicles and increase the safety of autonomous driving. With the advancement of autonomous driving technology, the demand for sensor chips in automobiles will continue to rise, as will the expectations for product performance.
The number of automobile cameras is steadily increasing as autonomous driving technology advances. The income generated by the sales of SoCs in various regions is included in the market sizing. The analysis also examines important market metrics, underlying growth influencers, and significant industry vendors, which helps to support market estimates and growth rates over the forecast period.
However, COVID-19 had a substantial commercial influence in various ways. The epidemic impacted the whole semiconductor industry's supply chain by disrupting shipping and transportation activities and limiting labor access.
The Automotive LiDAR System-on-Chip (SoC) Market is segmented on the basis of vehicle type, level of autonomy, range type, and perception type. Vehicle type includes passenger cars, commercial vehicles, and robo taxis. The level of autonomy segment includes semi-autonomous and fully autonomous. By range type, the market is segmented into short-to-medium-range LiDAR and medium-to-long-range LiDAR. The perception type segment includes 2D & 3D, and 4D. Propulsion Type segment includes electric vehicles, and internal combustion engine vehicles.
The 4D category is expected to hold a major share in the global Automotive LiDAR System-on-Chip (SoC) Market in 2024. At the moment, radar chip suppliers are mostly from abroad, with NXP, Infineon, TI, and others dominating the market. High-resolution radar and 4D radar have arisen as a result of the ongoing development of autonomous driving. Radar chips are now firmly part of the technology iteration cycle. Domestic suppliers may have an opportunity to take the lead, and the market pattern will shift.
The passenger cars segment is projected to grow at a rapid rate in the global Automotive LiDAR System-on-Chip (SoC) Market owing to the revolutionary automotive solution to deliver safety-critical applications and autonomous driving solutions. The rising demand for higher bandwidth and other networking aspects to denote Advanced Driver Assistance Systems is propelling market expansion. As a result, the Automotive SoC Market is expected to be driven by rising demand for increased functional safety and other possible developments for automated driving.
The North America Automotive LiDAR System-on-Chip (SoC) Market is expected to report the highest market share in terms of revenue in the near future. This can be due to the breakthrough automotive solution that supplies safety-critical applications and autonomous driving solutions. The increasing need for better bandwidth and other networking components to represent Advanced Driver Assistance Systems drives market growth. As a result, the rising demand for greater functional safety and other potential improvements for automated driving is likely to drive the Automotive SoC Market.
Owing to the breakthrough automotive solution to supply safety-critical applications and autonomous driving solutions is expected to boost the market. The increasing necessity for better bandwidth and other networking components to represent Advanced Driver Assistance Systems is driving the market growth. As a result, the rising need for greater functional safety and other potential improvements for automated driving is likely to drive the Automotive SoC Market.
| Report Attribute | Specifications |
| Market size value in 2024 | USD 29.1 Bn |
| Revenue forecast in 2034 | USD 245.1 Bn |
| Growth rate CAGR | CAGR of 24.0% from 2025 to 2034 |
| Quantitative units | Representation of revenue in US$ Bn , Volume (Thousand Unit) and CAGR from 2025 to 2034 |
| Historic Year | 2021 to 2024 |
| Forecast Year | 2025-2034 |
| Report coverage | The forecast of revenue, the position of the company, the competitive market statistics, growth prospects, and trends |
| Segments covered | Vehicle Type, Level Of Autonomy, Range, Perception, and Propulsion |
| Regional scope | North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
| Country scope | U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South Korea; Southeast Asia |
| Competitive Landscape | Indie Semiconductor, Inc., Mobileye, RoboSense, Ouster, Inc., Aeva Inc., SiLC Technologies, Inc., Scantinel, Voyant Photonics, Inc., Quaenergy Systems, Inc., Velodyne Lidar, Inc., Innoviz Technologies Ltd, Luminar Technologies, Inc., General Motors, Volkswagen AG, Ford Motor Company, BMW Group |
| Customization scope | Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
| Pricing and available payment methods | Explore pricing alternatives that are customized to your particular study requirements. |
Automotive LiDAR System-on-Chip (SoC) Market By Vehicle Type-
Automotive LiDAR System-on-Chip (SoC) Market By Propulsion Type
Automotive LiDAR System-on-Chip (SoC) Market By Level of Autonomy
Automotive LiDAR System-on-Chip (SoC) Market By Range Type
Automotive LiDAR System-on-Chip (SoC) Market By Perception Type-
Automotive LiDAR System-on-Chip (SoC) Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
This study employed a multi-step, mixed-method research approach that integrates:
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.
Secondary data for the market study was gathered from multiple credible sources, including:
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.
Primary interviews for this study involved:
Interviews were conducted via:
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
This ensured that the dataset used for modelling was clean, robust, and reliable.
The bottom-up approach involved aggregating segment-level data, such as:
This method was primarily used when detailed micro-level market data were available.
The top-down approach used macro-level indicators:
This approach was used for segments where granular data were limited or inconsistent.
To ensure accuracy, a triangulated hybrid model was used. This included:
This multi-angle validation yielded the final market size.
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Given inherent uncertainties, three scenarios were constructed:
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.