Automotive Lidar Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

The Automotive Lidar Market Report is Segmented by Application (Robotic Vehicles and ADAS [Level 2+ / 2++ and More]), Technology Type (Mechanical/Spinning and More), Vehicle Type (Passenger Cars and Commercial Vehicles), Range (Short/Mid-Range and Long-Range), Installation Position (Roof-Mounted and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Automotive LiDAR Market Size and Share

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Compare market size and growth of Automotive LiDAR Market with other markets in Automotive Industry

Automotive LiDAR Market Analysis by Mordor Intelligence

The automotive LiDAR market was valued at USD 1.23 billion in 2025 and is forecast to reach USD 5.31 billion by 2030, reflecting a 33.96% CAGR. Rising demand for Level 3 and above automated driving, falling sensor prices, and tightening perception-focused safety rules are accelerating volume growth. Chinese original-equipment manufacturers (OEMs) currently account for the highest installation density, and tier-1 suppliers are entering multiyear supply programs that bring production‐grade sensors into mainstream vehicle platforms. Breakthroughs in frequency-modulated continuous-wave (FMCW) architectures now enable a 400-meter range at Class 1 eye-safety limits, positioning the technology as the leading candidate for highway autonomy. Partnerships between hardware vendors and cloud software stacks are reshaping traditional supply chains, while regional subsidies and new assessment protocols make high-resolution perception a basic requirement for premium and, increasingly, mid-priced vehicles.

Key Report Takeaways

  • ADAS, by application, held a dominant 85.71% share of the automotive LiDAR market in 2024, with projections indicating a robust expansion rate of 39.14% CAGR through 2030.
  • By technology type, mechanical/spinning LiDAR systems led with 62.83% of the automotive LiDAR market share in 2024, while the FMCW segment is projected to expand at a 49.44% CAGR through 2030.
  • By vehicle type, passenger cars held 78.28% of the automotive LiDAR market share in 2024, and are expected to grow at a 31.94% CAGR by 2030.
  • By range, short and mid-range units (Up to 150 m) captured 64.89% of the automotive LiDAR market size in 2024, while the long-range (above 150 m) segment is expected to expand at a 32.96% CAGR.
  • By installation position, roof-mounted modules led with 39.14% of the automotive LiDAR market share in 2024, whereas headlamp-integrated modules are expected to grow at a 36.05% CAGR.
  • By geography, Asia-Pacific commanded 42.23% of 2024 revenue, and the region, excluding Japan, is projected to register the fastest 26.78% CAGR between 2025 and 2030.

Segment Analysis

By Application: Level 5 systems stimulate long-run upside

In 2024, ADAS accounted for 85.71% of the Automotive LiDAR Market, reflecting its mainstream adoption. Additionally, ADAS is the fastest-growing segment, with a 39.14% CAGR, driven by city-level permits and ride-hailing fleet orders. ADAS Level 3 and Level 4 programs bridge the gap: German premium OEMs already ship production Level 3 highway pilots, and Chinese mobility companies operate supervised Level 4 services in over 10 metropolitan areas. Higher autonomy levels require multiple sensors, redundancy, and full-stack validation, raising average content per vehicle and powering the next wave of the automotive LiDAR market size expansion.

Scaling to full autonomy shifts value from hardware to continuous OTA upgrades. Subscription models for highway self-driving add revenue streams that justify higher sensor bills, and data collected by Level 5 fleets feeds iterative perception improvements. As these platforms mature, they reinforce a virtuous cycle: wider data coverage supports safer algorithms, in turn unlocking permits for broader operations. This flywheel underpins bullish long-range forecasts despite early-stage volumes.

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By Technology Type: FMCW disrupts mechanical incumbency

In 2024, mechanical spinning units captured 62.83% of the revenue share in the Automotive LiDAR Market, due to their proven field performance, comprehensive 360-degree coverage, and established manufacturing lines. Yet their moving parts create reliability concerns for a 10-year automotive design life, and form-factor constraints complicate stylistic integration. Solid-state approaches, including MEMS beam steering, optical phased arrays, and flash topologies, step in with fully sealed modules and lower cost trajectories. Within this solid-state cohort, FMCW is the breakout sub-category, projected at 49.44% CAGR and expected to reach double-digit share before 2030. 

Valeo continues to iterate its second-generation Scala hybrid scanner, while Luminar brings high-channel-count pulsed time-of-flight into series production. Huawei and Hesai invest heavily in 905-nm pulsed and 1,550-nm FMCW pipelines, seeking to hedge technology bets across different vehicle classes. This pluralistic landscape ensures that no single architecture dominates all use cases, even as FMCW captures the performance leadership narrative.

By Vehicle Type: Commercial fleets move from pilot to scale

In 2024, passenger cars commanded a dominant 78.28% share of the Automotive LiDAR Market, with projections indicating a robust growth rate of 31.93% CAGR. Premium electric vehicles, especially in China and Europe, now ship with roof or grille LiDAR as baseline hardware. OTA feature unlocks generate post-sale revenues, reinforcing adoption. Fleet operators value operational savings and regulatory compliance, prioritizing durability over retail price. Daimler Truck’s selection of Aeva’s 4D FMCW exemplifies this focus.

As logistics providers commit to autonomous corridors, each Class 8 tractor may carry three or more roof-edge or bumper sensors for redundant forward coverage. These high-volume, high-spec deployments lift average selling prices despite ongoing cost compression in passenger segments, adding a stabilizing factor to the automotive LiDAR market.

By Range: Long-range capability gains momentum

In 2024, early implementations of Automotive LiDAR saw short and mid-range units (up to 150 m) commanding a dominant 64.89% market share. Urban ADAS features such as automated braking and traffic jam pilots rely on these sensors. However, UNECE R157 compliance and North American highway pilot rollouts are shifting procurement toward long-range units. Long-range devices already post a 32.96% CAGR, and their automotive LiDAR market share is projected to increase significantly by 2030 as 150–300 meter detection becomes compulsory for speeds above 100 km/h.

Manufacturers respond with multi-range portfolios: a narrow-FOV long-range sensor pairs with two wide-FOV short-range modules, optimizing cost and performance. FMCW’s coherent gain supports this segmentation because a single photonics platform can be tuned for different range profiles without changing the underlying laser wafer process.

Automotive LiDAR Market: Market Share by Range
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By Installation Position: Design integration reshapes demand

In 2024, roof-mounted sensors, prized for unobstructed 360-degree views, captured a 39.14% share of the Automotive LiDAR Market. Yet, high profile and aerodynamic drag conflict with styling objectives. Automakers therefore migrate to headlamp, grille, and bumper placements. Luminar’s Halo demonstrates a fully enclosed unit behind the windshield, eliminating protrusions. This trend spurs new optical designs that tolerate glare, vibration, and temperature extremes when embedded in body panels, driving additional R&D spend.

Consequently, the installation position spectrum is fragmenting. Some premium models retain roof pods for 360-degree redundancy, while mass-market trims opt for concealed forward sensors supplemented by high-definition radar for lateral coverage. This variety keeps the Automotive LiDAR market open to multiple form factors and supplier strategies.

Geography Analysis

In 2024, the Automotive LiDAR Market saw Asia-Pacific commanding a dominant revenue share of 42.23%, with China as the epicenter of sensor deployment. Provincial subsidies worth up to CNY 10,000 per L3-ready vehicle, extended through 2027, increase penetration of battery electric SUVs and sedans. Domestic supply chains spanning wafer fab to final assembly compress cost and shorten lead times, reinforcing regional dominance. South Korea and Singapore add pilot zones and smart-highway projects, further expanding regional demand. The automotive LiDAR market in Asia-Pacific is forecast to grow at a 26.78% CAGR, the highest across all regions.

Autonomous trucking corridors linking Texas, Arizona, and California, and consumer appetite for hands-free highway assist, push a 24.01% CAGR. Aurora, Ouster, and Aeva operate domestic facilities that reduce import reliance, while U.S. export control on certain 1,550 nm VCSEL epitaxy encourages local alternative suppliers[2]“Category 6 Sensors and Lasers,” Bureau of Industry and Security, bis.doc.gov. Canada’s winter testing grounds add niche demand for all-weather FMCW products.

Europe follows with a 21.01% CAGR, reflecting advanced regulation and conservative consumer uptake. UNECE-based rules originate in Europe, but national type-approval processes remain stringent, slowing high-volume delivery. However, German, Swedish, and French premium brands install multi-LiDAR configurations to meet L3 highway pilot requirements, making the region an influential technology trendsetter. Smaller yet notable opportunities arise in the Gulf Cooperation Council, where smart-city mega-projects embed autonomous shuttles into new urban designs. Africa and Latin America post CAGRs of 22.02% and 20.20% respectively on lower bases, driven by mining haulage automation and public-sector fleet modernization. 

Automotive LiDAR Market CAGR (%), Growth Rate by Region
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Competitive Landscape

Hesai leads the automotive LiDAR market, closely followed by Huawei HI-XG and RoboSense. Valeo retains a niche with its Scala series, while Luminar commands a significant share across European premium contracts. 

Competitive strategies focus on vertical integration, cost leadership, and differentiated architectures. Chinese suppliers leverage large domestic EV customer bases to reach annual run-rates above 500,000 units, gaining cost advantages. Western startups emphasize FMCW intellectual property, velocity data, and long-range performance to secure premium contracts. Joint ventures between tier-1s and cloud providers—Mobileye-Innoviz, Daimler-Aeva, illustrate growing alliances that pool hardware and algorithm expertise for end-to-end autonomy solutions.

Hesai invested in a wafer-to-module plant that doubles output capacity, signaling expectations for sustained growth. Meanwhile, suppliers diversify into adjacent markets, industrial robots, construction machinery, and smart infrastructure, to hedge automotive cyclicality. Overall, technological pluralism persists, but scale requirements favor players with manufacturing depth and software ecosystems.

Automotive LiDAR Industry Leaders

  1. Hesai Technology

  2. Valeo SA

  3. Luminar Technologies Inc.

  4. Huawei Technologies Co., Ltd.

  5. RoboSense Technology Co., Ltd.

  6. *Disclaimer: Major Players sorted in no particular order
Automotive LiDAR Market Concentration
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Recent Industry Developments

  • April 2025: Innoviz Technologies partnered with Fabrinet to mass-produce InnovizTwo, with Fabrinet’s Thailand facility passing OEM audits for automotive-grade standards.
  • January 2025: Aeva and Wideye showcased the first in-cabin FMCW 4D LiDAR behind the windshield, combining long-range sensing with streamlined vehicle styling.
  • December 2024: Aurora Innovation opened a 78,000 sq ft research facility in Bozeman, Montana, to refine its FirstLight technology and support 2025 autonomous trucking rollout in Texas.

Table of Contents for Automotive LiDAR Industry Report

1. Introduction

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. Research Methodology

3. Executive Summary

4. Market Landscape

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Rapid ASP decline unlocking mid-priced vehicle adoption
    • 4.2.2 Early-stage FMCW LiDAR sensor breakthroughs extend detection range above 400 m
    • 4.2.3 UNECE R157 and China NCAP 2026 autonomy ratings mandate higher-resolution perception
    • 4.2.4 Mass-production deals between tier-1s and cloud AV stacks
    • 4.2.5 Chinese provincial subsidies for L3-ready sensor suites
    • 4.2.6 Automaker OTA business models monetising highway LiDAR subscriptions
  • 4.3 Market Restraints
    • 4.3.1 Persistent eye-safety rules limit peak power on long-range, roof-mounted units
    • 4.3.2 Radar/Camera sensor fusion cost-down roadmap slows LiDAR attach-rate in sub-USD25k cars
    • 4.3.3 Export-control scrutiny on 1,550 nm GaAs VCSELs restricts cross-border supply chains
    • 4.3.4 Reliability concerns of dynamic beam-steering MEMS mirrors in above 10-year duty cycles
  • 4.4 Value / Supply-Chain Analysis
  • 4.5 Regulatory Landscape
  • 4.6 Technological Outlook
  • 4.7 LiDAR Component Ecosystem
  • 4.8 Integration of LiDAR in ADAS Vehicles
  • 4.9 Automotive LiDAR Technology Roadmap (2020-2030)
  • 4.10 Pricing Trend Analysis
  • 4.11 Porter's Five Forces
    • 4.11.1 Threat of New Entrants
    • 4.11.2 Bargaining Power of Buyers
    • 4.11.3 Bargaining Power of Suppliers
    • 4.11.4 Threat of Substitutes
    • 4.11.5 Intensity of Competitive Rivalry

5. Market Size and Growth Forecasts

  • 5.1 By Application
    • 5.1.1 Robotic Vehicles
    • 5.1.2 ADAS
    • 5.1.2.1 Level 2+ / 2++
    • 5.1.2.2 Level 3 / 4
    • 5.1.2.3 Level 5
  • 5.2 By Technology Type
    • 5.2.1 Mechanical/Spinning
    • 5.2.2 Solid-State (MEMS, Flash)
    • 5.2.3 FMCW
  • 5.3 By Vehicle Type
    • 5.3.1 Passenger Cars
    • 5.3.2 Commercial Vehicles
  • 5.4 By Range
    • 5.4.1 Short / Mid-Range (Up to 150 m)
    • 5.4.2 Long-Range (Above 150 m)
  • 5.5 By Installation Position
    • 5.5.1 Roof-Mounted
    • 5.5.2 Grille / Bumper
    • 5.5.3 Headlamp-Integrated
  • 5.6 By Geography
    • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Rest of North America
    • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
    • 5.6.3 Europe
    • 5.6.3.1 Germany
    • 5.6.3.2 France
    • 5.6.3.3 United Kingdom
    • 5.6.3.4 Italy
    • 5.6.3.5 Spain
    • 5.6.3.6 Russia
    • 5.6.3.7 Rest of Europe
    • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 Japan
    • 5.6.4.3 South Korea
    • 5.6.4.4 India
    • 5.6.4.5 Rest of Asia-Pacific
    • 5.6.5 Middle East and Africa
    • 5.6.5.1 Saudi Arabia
    • 5.6.5.2 United Arab Emirates
    • 5.6.5.3 South Africa
    • 5.6.5.4 Rest of Middle East and Africa

6. Competitive Landscape

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as Available, Strategic Information, Market Rank/Share for Key Companies, Products and Services, SWOT Analysis, and Recent Developments)
    • 6.4.1 Hesai Technology (Hesai Group)
    • 6.4.2 RoboSense Technology Co., Ltd.
    • 6.4.3 Huawei Technologies Co., Ltd.
    • 6.4.4 Valeo SA
    • 6.4.5 Luminar Technologies Inc.
    • 6.4.6 Continental AG
    • 6.4.7 ZF Friedrichshafen AG
    • 6.4.8 Innoviz Technologies Ltd.
    • 6.4.9 Ouster Inc.
    • 6.4.10 Velodyne LiDAR Inc.
    • 6.4.11 Aeva Inc.
    • 6.4.12 AEye Inc.
    • 6.4.13 LeddarTech Holdings Inc.
    • 6.4.14 Seyond
    • 6.4.15 LIVOX
    • 6.4.16 Blickfeld GmbH
    • 6.4.17 SiLC Technologies Inc.
    • 6.4.18 Insight LiDAR

7. Market Opportunities and Future Outlook

  • 7.1 White-space and Unmet-Need Assessment
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Global Automotive LiDAR Market Report Scope

LIDAR - sometimes called time of flight (ToF), laser scanners or laser radar - is a sensing method that detects objects and maps their distances. The technology works by illuminating a target with an optical pulse and measuring the characteristics of the reflected return signal. The width of the optical pulse can range from a few nanoseconds to several microseconds. The study analyses the application of LiDAR in automotive industry. It provides a in-depth analysis of the application along with the extent of development and adoption in various geographies.

By Application Robotic Vehicles
ADAS Level 2+ / 2++
Level 3 / 4
Level 5
By Technology Type Mechanical/Spinning
Solid-State (MEMS, Flash)
FMCW
By Vehicle Type Passenger Cars
Commercial Vehicles
By Range Short / Mid-Range (Up to 150 m)
Long-Range (Above 150 m)
By Installation Position Roof-Mounted
Grille / Bumper
Headlamp-Integrated
By Geography North America United States
Canada
Rest of North America
South America Brazil
Argentina
Rest of South America
Europe Germany
France
United Kingdom
Italy
Spain
Russia
Rest of Europe
Asia-Pacific China
Japan
South Korea
India
Rest of Asia-Pacific
Middle East and Africa Saudi Arabia
United Arab Emirates
South Africa
Rest of Middle East and Africa
By Application
Robotic Vehicles
ADAS Level 2+ / 2++
Level 3 / 4
Level 5
By Technology Type
Mechanical/Spinning
Solid-State (MEMS, Flash)
FMCW
By Vehicle Type
Passenger Cars
Commercial Vehicles
By Range
Short / Mid-Range (Up to 150 m)
Long-Range (Above 150 m)
By Installation Position
Roof-Mounted
Grille / Bumper
Headlamp-Integrated
By Geography
North America United States
Canada
Rest of North America
South America Brazil
Argentina
Rest of South America
Europe Germany
France
United Kingdom
Italy
Spain
Russia
Rest of Europe
Asia-Pacific China
Japan
South Korea
India
Rest of Asia-Pacific
Middle East and Africa Saudi Arabia
United Arab Emirates
South Africa
Rest of Middle East and Africa
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Key Questions Answered in the Report

What is the current size of the Automotive LiDAR market?

The Automotive LiDAR market was valued at USD 1.23 billion in 2025 and is projected to grow at a 33.96% CAGR to USD 5.31 billion by 2030.

Which region leads global demand?

Asia-Pacific holds 42.23% of target market revenue due to China’s aggressive autonomous-vehicle policies and local manufacturing ecosystems.

Why is FMCW technology gaining traction?

FMCW simultaneously measures distance and velocity, avoids crosstalk, and delivers 400 meter range at Class 1 eye safety, driving the fastest segment growth at 49.44% CAGR.

How do regulations influence adoption?

UNECE R157 in Europe and China NCAP 2026 both require higher-resolution perception, effectively pushing LiDAR into Level 3 and above production vehicles.

What challenges limit LiDAR penetration in entry-level cars?

Strict eye-safety power limits and cheaper radar-camera sensor fusion keep added hardware costs high, slowing adoption in vehicles priced below USD 25,000.

Page last updated on: July 2, 2025