Solid State Automotive LiDAR Market - Industry Analysis Report, Regional Outlook, Growth Potential, Competitive Market Share & Forecast, 2024 – 2032
Report ID: GMI2519
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Authors:
Suraj Gujar,
Solid State Automotive LiDAR Market
Solid State Automotive LiDAR Market size is expected to exhibit significant CAGR from 2024 to 2032, propelled by the surging popularity of autonomous vehicles and the hefty investments directed towards developing and commercializing autonomous vehicle technology. To cite an instance, in July 2023, the Saudi Ministry of Investment inked an MoU with Rigel Capital Management and Clevon for developing investments in automotive manufacturing as well as autonomous vehicle technology.
Major drawbacks, such as higher costs as well as weather sensitivity and bulky sizes associated with early LiDAR systems may restrict the demand for LiDAR systems to some extent. Rising competition from other sensing technologies, such as radar and cameras along with lack of standardization and the uncertainties stemming from evolving regulatory requirements will also affect the technology adoption. However, new solid-state LiDARs are increasingly designed by manufacturers to solve the cost, reliability, size, and complexity issues related to mechanical scanning LiDARs.
Solid State Automotive LiDAR Market Trends
The automotive industry is witnessing the influx of several game changing technologies over the last decade, including driverless car prototypes and automotive ECU (electronic control units). In addition to large-scale autonomous vehicle commercialization, solid state LiDAR technology is continuously explored for a wide range of applications, including fully automated driving, parking assistance, forward collision warning and automatic emergency braking. The surging need for next-generation sensors devoid of moving parts on the micro and macro scale for ensuring highest level of longevity, dependability, reliability, performance, and cost efficiency will add to the solid state automotive LiDAR industry growth.
Solid State Automotive LiDAR Market Analysis
Based on range, the medium range LiDAR segment is expected to account for a considerable share of the solid-state automotive LiDAR industry by 2032. Medium-range solid-state LiDAR sensors are well-suited for advanced driver assistance systems (ADAS) and autonomous driving applications as they facilitate lane-keeping assistance, adaptive cruise control, and obstacle detection. Given their ability to effectively detect objects and obstacles at moderate distances while allowing vehicles to safely navigate complex traffic scenarios and city streets, medium-range LiDAR is particularly useful in urban and suburban driving environments.
Regionally, Europe solid state automotive LiDAR market is anticipated to record robust growth between 2024 and 2032. This can be attributed to the strong presence of numerous well-established global automotive manufacturers in the region. The ongoing R&D efforts for enhancing the performance of solid-state LiDAR sensors, such as improvements in range, resolution, and effective operations in various environmental conditions will also contribute to the regional industry growth. For instance, in September 2022, LiDAR sensor technology firm Blickfeld offered sensor solutions to FH Aachen in line with an EU-funded project in railway automation for developing a train shunting assistance system for enhancing automated detection of objects on tracks.
Solid State Automotive LiDAR Market Share
Leading solid-state automotive LiDAR companies are aggressively working on technology innovations and new product developments for commercializing next-generation LiDAR systems in the automotive sector. A pioneer in automotive LiDAR, LeddarTech provides some of the most robust, flexible, and accurate ADAS and AD sensing technologies. In May 2022, the company released LeddarSteer™, its solid-state automotive-grade digital beam steering solution for LiDAR sensor developers.
Some of the prominent solid-state automotive LiDAR market players include:
Solid State Automotive LiDAR Industry News
Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
Trust & credibility
Verified data sources
Trade publications
Security & defense sector journals and trade press
Industry databases
Proprietary and third-party market databases
Regulatory filings
Government procurement records and policy documents
Academic research
University studies and specialist institution reports
Company reports
Annual reports, investor presentations, and filings
Expert interviews
C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 30+ industry verticals
Trade data
Import/export volumes, HS codes, and customs records
Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →