자동차용 LiDAR 시장 : 기술 유형별, 영상 유형별, 내연기관차 유형별, 감지 거리별, 자율주행 레벨별, 전기자동차 차종별, 지역별 - 시장 규모, 업계 동향, 기회 분석 및 예측(2026-2035년)

The global automotive LiDAR market is undergoing rapid and transformative growth, with its valuation reaching approximately USD 1.26 billion in 2025. This expansion is expected to accelerate significantly over the next decade, with projections estimating the market will soar to around USD 25.75 billion by 2035. Such a dramatic increase corresponds to a compound annual growth rate (CAGR) of 35.16% during the forecast period from 2026 to 2035, highlighting the strong momentum behind this technology's adoption and development.

This surge in market value is primarily driven by the widespread adoption of Advanced Driver Assistance Systems (ADAS) and the growing deployment of autonomous vehicles. As automakers and technology providers push toward higher levels of vehicle autonomy, LiDAR sensors have become indispensable for enabling precise environmental perception, which is critical for safe and reliable operation. The increasing integration of these sensors into vehicles is fueled by stringent safety regulations worldwide, which mandate enhanced driver assistance features to reduce accidents and improve road safety.

Noteworthy Market Developments

The competitive landscape of the automotive LiDAR market has become intensely concentrated, with Chinese specialists leading the charge and dominating the sector. In 2024, Hesai and RoboSense together commanded an overwhelming 93% share of the passenger car LiDAR market, effectively establishing a duopoly in the high-volume segment. Individually, both companies held approximately 26% market share each, underscoring their equal footing and joint control over the majority of the market.

Hesai's scale is exemplified by its achievement of a monthly delivery run-rate of 100,000 units as of December 2024, a milestone that highlights its manufacturing prowess and operational efficiency. This capacity to produce LiDAR sensors at such volume enables Hesai to supply a broad range of automotive manufacturers, reinforcing its market leadership. Meanwhile, RoboSense demonstrated equally impressive growth, with total sales volume reaching 544,200 units in 2024. This figure represents a staggering 109.6% year-over-year increase, signaling rapid adoption of its technology and expanding footprint in the automotive sector.

The success of these two companies is also a testament to their strategic focus on innovation and cost reduction, which has allowed them to offer competitive products that appeal to a wide array of automakers. Their ability to scale production while maintaining technological excellence has effectively set a high barrier to entry for other competitors. Although other players, including Huawei, have made notable advances and captured significant market share through partnerships with OEMs, Hesai and RoboSense remain the dominant forces shaping the automotive LiDAR market's trajectory.

Core Growth Drivers

The most significant catalyst propelling growth in the automotive LiDAR market is the ongoing reduction in costs, which has fundamentally shifted the industry's dynamics. For years, LiDAR technology was predominantly confined to luxury vehicles due to its high price, limiting its accessibility and adoption across broader market segments. However, the market has now reached a critical pricing tipping point that is opening the door for LiDAR integration into non-luxury, mass-market vehicles. This shift is creating new opportunities for automakers to offer advanced driver-assistance systems and autonomous features at more affordable price points, thereby accelerating the technology's mainstream adoption.

Emerging Opportunity Trends

The automotive LiDAR market experienced a breakthrough with the advent of what is now being called the "Price-Performance Convergence." Historically, achieving high-performance LiDAR capabilities-particularly long detection ranges-depended heavily on the use of 1550nm communication lasers. While these lasers offered superior performance, they were prohibitively expensive, making widespread adoption challenging and limiting their integration primarily to premium or niche applications. The high cost of these fiber-laser systems created a significant barrier to scaling the technology across mass-market vehicles, slowing the broader deployment of advanced autonomous driving features.

Barriers to Optimization

The high cost of LiDAR sensors remains a significant obstacle to their widespread integration into mass-market, budget-friendly vehicles. These sensors, which are essential for advanced driver-assistance systems and autonomous driving capabilities, often come with a steep price tag that adds substantially to the overall bill of materials for vehicle manufacturers. This increased expense can make it challenging for automakers to include LiDAR technology in more affordable models without significantly raising the vehicle's retail price, potentially limiting consumer access to the latest safety and autonomy features.

Detailed Market Segmentation

By Electric Vehicle Type, the battery electric vehicle (BEV) segment is anticipated to experience the fastest growth within the automotive LiDAR market, driven by the ongoing shift among automakers toward utilizing electric vehicle platforms as a foundation for launching advanced, software-defined vehicle architectures. Unlike traditional internal combustion engine (ICE) vehicles, BEVs offer a more flexible and capable platform for integrating cutting-edge sensor technologies, including LiDAR, which are essential for enabling higher levels of vehicle autonomy and enhanced driver-assistance features. This is largely due to the inherent design advantages of BEVs, particularly their powertrain architecture and energy management systems.

By Image Type, the 3D image type segment, often referred to as the 3D motion capture system, holds a dominant position in the automotive LiDAR market due to its unparalleled ability to provide critical "ground truth" data that other sensing technologies, such as 2D cameras and radar, cannot consistently deliver. While traditional automotive cameras face significant challenges in low-contrast lighting conditions-such as nighttime driving, fog, or glare-and radar systems fall short in delivering the fine resolution necessary for detailed object recognition, 3D LiDAR overcomes these limitations by generating highly detailed spatial information in real time.

By Laser Wavelength, the short-wave infrared (SWIR) segment is poised to experience the most rapid growth within the automotive LiDAR market, driven largely by the significant technical advantages offered by 1550nm laser technology. This particular wavelength unlocks new possibilities for high-speed highway autonomy by enabling LiDAR sensors to operate more effectively under demanding conditions. Unlike the traditional near-infrared sensors operating at 905nm, which have been the industry standard for many years, SWIR technology offers a fundamental breakthrough rooted in the physics of how these wavelengths interact with the human eye.

By ICE Vehicle Type, the passenger vehicle segment holds a commanding position in the automotive LiDAR market, capturing over 68% of the total market share. This dominance is driven by a dual imperative: the increasing demand for superior safety features and the rapid advancement toward higher levels of vehicle autonomy. Automakers are prioritizing the integration of LiDAR technology as a critical component in enhancing driver assistance systems and enabling autonomous driving capabilities. As a result, the segment has witnessed explosive growth in LiDAR installations, with approximately 1.5 million units deployed globally in 2024 alone.

Segment Breakdown

By Technology Type:

• Mechanical LiDAR
• Solid-state LiDAR

By Image Type:

• 2D
• 3D

By ICE Vehicle Type:

• Passenger Cars
• Light Commercial Vehicles (LCVs)
• Heavy Commercial Vehicles (HCVs)

By Range:

• Short- and Mid-range LiDAR (170 Meters and Below)
• Long-range LiDAR (Above 170 Meters)

By Laser Wavelength:

• Near-infrared
• Short-wave Infrared
• Long-wave Infrared

By Location:

• Bumper & Grille
• Headlight & Taillight
• Roof & Upper Pillar
• Others

By Measurement Process:

• Frequency-modulated Continuous Wave (FMCW)
• Time of Flight (ToF)

By Level of Autonomy:

• Semi-autonomous
• Autonomous

By Electric Vehicle Type:

• Battery Electric Vehicle (BEV)
• Plug-in Hybrid Electric Vehicle (PHEV)
• Fuel Cell Electric Vehicle (FCEV)
• Hybrid Electric Vehicle (HEV)

By Region

• North America
• Europe
• Asia Pacific
• Middle East and Africa
• South America

Geography Breakdown

• The Asia Pacific region is not just leading the automotive LiDAR market; it is setting the technological pace and shaping the industry's future. As of 2025, the region commands a commanding 57.10% share of the global market, underscoring its dominant position. This leadership stems from a distinctive consumer environment in China, where "intelligent driving" features have become the primary factor influencing the purchase decisions of New Energy Vehicle (NEV) buyers.
• Major Chinese players such as BYD and Xiaomi have played a pivotal role in democratizing LiDAR by integrating it even in mid-trim vehicle configurations. A notable example is the Xiaomi SU7, which achieved delivery volumes exceeding 135,000 units in 2025, with LiDAR sensors included as a standard component across multiple trims. This volume-first approach has not only accelerated the adoption of LiDAR technology among everyday drivers but also created significant economies of scale that benefit the entire supply chain.

Leading Market Participants

• Continental AG
• Delphi Automotive
• First Sensor AG
• Infineon Technologies AG
• Innoviz Technologies, Ltd
• LeddarTech, Inc.
• Quanergy Systems, Inc
• Texas Instruments, Inc.
• Velodyne LiDAR, Inc.
• ZF Friedrichshafen AG
• Other Prominent Players

Table of Content

Chapter 1. Executive Summary: Automotive LiDAR Market

Chapter 2. Research Methodology & Research Framework

• 2.1. Research Objective
• 2.2. Product Overview
• 2.3. Market Segmentation
• 2.4. Qualitative Research
  • 2.4.1. Primary & Secondary Sources
• 2.5. Quantitative Research
  • 2.5.1. Primary & Secondary Sources
• 2.6. Breakdown of Primary Research Respondents, By Region
• 2.7. Assumption for Study
• 2.8. Market Size Estimation
• 2.9. Data Triangulation

Chapter 3. Automotive LiDAR Market Overview

• 3.1. Industry Value Chain Analysis
  • 3.1.1. Raw Materials & Basic Components
  • 3.1.2. LiDAR System Design, Integration & Manufacturing
  • 3.1.3. Suppliers & Sensor Integration into Vehicle Platforms
  • 3.1.4. Original Equipment Manufacturers (OEMs)
  • 3.1.5. Aftermarket & Retrofit Services
• 3.2. Industry Outlook
  • 3.2.1. Overview of Global Automotive & ADAS Industry
  • 3.2.2. Global Vehicle Production & Sales Trends
  • 3.2.3. Luxury & Premium Vehicles Adoption Trends
  • 3.2.4. OEM Strategic Partnerships with LiDAR Suppliers.
  • 3.2.5. Electrification & Software-Defined Vehicle (SDV) Trends
  • 3.2.6. Semiconductor & Automotive Sensor Industry Overview
  • 3.2.7. EV sales growth influencing sensor integration
  • 3.2.8. Regulatory & Safety Compliance
• 3.3. Buyer Behavior & Procurement Dynamics in Automotive LiDAR Market
• 3.4. PESTLE Analysis
• 3.5. Porter's Five Forces Analysis
  • 3.5.1. Bargaining Power of Suppliers
  • 3.5.2. Bargaining Power of Buyers
  • 3.5.3. Threat of Substitutes
  • 3.5.4. Threat of New Entrants
  • 3.5.5. Degree of Competition
• 3.6. Market Dynamics and Trends
  • 3.6.1. Growth Drivers
    • 3.6.1.1. Rising Adoption of Advanced Driver Assistance Systems
    • 3.6.1.2. Declining LiDAR Costs & Technological Advancements
  • 3.6.2. Restraints
  • 3.6.3. Opportunity
  • 3.6.4. Key Trend
• 3.7. Market Growth and Outlook
  • 3.7.1. Market Revenue Estimates and Forecast (US$ Mn), 2020 - 2035
  • 3.7.2. Price Trend and Cost Dynamic Analysis

Chapter 4. Competition Dashboard

• 4.1. Market Concentration Rate
• 4.2. Company Market Share Analysis (Value %), 2025
• 4.3. Competitor Mapping & Benchmarking

Chapter 5. Automotive LiDAR Market Analysis

• 5.1. Key Insights
• 5.2. Market Size and Forecast, 2020-2035 (US$ Mn)
• 5.3. By Technology Type
  • 5.3.1. Mechanical LiDAR
  • 5.3.2. Solid-state LiDAR
• 5.4. By Image Type
  • 5.4.1. 2D
  • 5.4.2. 3D
• 5.5. By ICE Vehicle Type
  • 5.5.1. Passenger Cars
  • 5.5.2. Light Commercial Vehicles (LCVs)
  • 5.5.3. Heavy Commercial Vehicles (HCVs)
• 5.6. By Range
  • 5.6.1. Short- and Mid-range LiDAR (170 Meters and Below)
  • 5.6.2. Long-range LiDAR (Above 170 Meters)
• 5.7. By Laser Wavelength
  • 5.7.1. Near-infrared
  • 5.7.2. Short-wave Infrared
  • 5.7.3. Long-wave Infrared
• 5.8. By Location
  • 5.8.1. Bumper & Grille
  • 5.8.2. Headlight & Taillight
  • 5.8.3. Roof & Upper Pillar
  • 5.8.4. Others
• 5.9. By Measurement Process
  • 5.9.1. Frequency-modulated Continuous Wave (FMCW)
  • 5.9.2. Time of Flight (ToF)
• 5.10. By Level of Autonomy
  • 5.10.1. Semi-autonomous
  • 5.10.2. Autonomous
• 5.11. By Electric Vehicle Type
  • 5.11.1. Battery Electric Vehicle (BEV)
  • 5.11.2. Plug-in Hybrid Electric Vehicle (PHEV)
  • 5.11.3. Fuel Cell Electric Vehicle (FCEV)
  • 5.11.4. Hybrid Electric Vehicle (HEV)
• 5.12. By Region
  • 5.12.1.1. North America
    • 5.12.1.1.1. The U.S.
    • 5.12.1.1.2. Canada
    • 5.12.1.1.3. Mexico
  • 5.12.1.2. Europe
    • 5.12.1.2.1. Western Europe
      • 5.12.1.2.1.1. The UK
      • 5.12.1.2.1.2. Germany
      • 5.12.1.2.1.3. France
      • 5.12.1.2.1.4. Italy
      • 5.12.1.2.1.5. Spain
      • 5.12.1.2.1.6. Rest of Western Europe
    • 5.12.1.2.2. Eastern Europe
      • 5.12.1.2.2.1. Poland
      • 5.12.1.2.2.2. Russia
      • 5.12.1.2.2.3. Rest of Eastern Europe
  • 5.12.1.3. Asia Pacific
    • 5.12.1.3.1. China
    • 5.12.1.3.2. India
    • 5.12.1.3.3. Japan
    • 5.12.1.3.4. South Korea
    • 5.12.1.3.5. Australia & New Zealand
    • 5.12.1.3.6. ASEAN
      • 5.12.1.3.6.1. Indonesia
      • 5.12.1.3.6.2. Malaysia
      • 5.12.1.3.6.3. Thailand
      • 5.12.1.3.6.4. Singapore
      • 5.12.1.3.6.5. Rest of ASEAN
      • 5.12.1.3.6.6. Rest of Asia Pacific
  • 5.12.1.4. Middle East & Africa
    • 5.12.1.4.1. UAE
    • 5.12.1.4.2. Saudi Arabia
    • 5.12.1.4.3. South Africa
    • 5.12.1.4.4. Rest of MEA
  • 5.12.1.5. South America
    • 5.12.1.5.1. Argentina
    • 5.12.1.5.2. Brazil
    • 5.12.1.5.3. Rest of South America

Chapter 6. North America Automotive LiDAR Market Analysis

• 6.1. Market Dynamics and Trends
  • 6.1.1. Growth Drivers
  • 6.1.2. Restraints
  • 6.1.3. Opportunity
  • 6.1.4. Key Trends
• 6.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 6.2.1. By Technology Type
  • 6.2.2. By Image Type
  • 6.2.3. By ICE Vehicle Type
  • 6.2.4. By Range
  • 6.2.5. By Laser Wavelength
  • 6.2.6. By Location
  • 6.2.7. By Measurement Process
  • 6.2.8. By Level of Autonomy
  • 6.2.9. By Electric Vehicle Type
  • 6.2.10. By Country

Chapter 7. Europe Automotive LiDAR Market Analysis

• 7.1. Market Dynamics and Trends
  • 7.1.1. Growth Drivers
  • 7.1.2. Restraints
  • 7.1.3. Opportunity
  • 7.1.4. Key Trends
• 7.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 7.2.1. By Technology Type
  • 7.2.2. By Image Type
  • 7.2.3. By ICE Vehicle Type
  • 7.2.4. By Range
  • 7.2.5. By Laser Wavelength
  • 7.2.6. By Location
  • 7.2.7. By Measurement Process
  • 7.2.8. By Level of Autonomy
  • 7.2.9. By Electric Vehicle Type
  • 7.2.10. By Country

Chapter 8. Asia Pacific Automotive LiDAR Market Analysis

• 8.1. Market Dynamics and Trends
  • 8.1.1. Growth Drivers
  • 8.1.2. Restraints
  • 8.1.3. Opportunity
  • 8.1.4. Key Trends
• 8.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 8.2.1. By Technology Type
  • 8.2.2. By Image Type
  • 8.2.3. By ICE Vehicle Type
  • 8.2.4. By Range
  • 8.2.5. By Laser Wavelength
  • 8.2.6. By Location
  • 8.2.7. By Measurement Process
  • 8.2.8. By Level of Autonomy
  • 8.2.9. By Electric Vehicle Type
  • 8.2.10. By Country

Chapter 9. Middle East & Africa Automotive LiDAR Market Analysis

• 9.1. Market Dynamics and Trends
  • 9.1.1. Growth Drivers
  • 9.1.2. Restraints
  • 9.1.3. Opportunity
  • 9.1.4. Key Trends
• 9.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 9.2.1. By Technology Type
  • 9.2.2. By Image Type
  • 9.2.3. By ICE Vehicle Type
  • 9.2.4. By Range
  • 9.2.5. By Laser Wavelength
  • 9.2.6. By Location
  • 9.2.7. By Measurement Process
  • 9.2.8. By Level of Autonomy
  • 9.2.9. By Electric Vehicle Type
  • 9.2.10. By Country

Chapter 10. South America Automotive LiDAR Market Analysis

• 10.1. Market Dynamics and Trends
  • 10.1.1. Growth Drivers
  • 10.1.2. Restraints
  • 10.1.3. Opportunity
  • 10.1.4. Key Trends
• 10.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 10.2.1. By Technology Type
  • 10.2.2. By Image Type
  • 10.2.3. By ICE Vehicle Type
  • 10.2.4. By Range
  • 10.2.5. By Laser Wavelength
  • 10.2.6. By Location
  • 10.2.7. By Measurement Process
  • 10.2.8. By Level of Autonomy
  • 10.2.9. By Electric Vehicle Type
  • 10.2.10. By Country

Chapter 11. Company Profile (Company Overview, Financial Matrix, Key Product landscape, Key Personnel, Key Competitors, Contact Address, and Business Strategy Outlook)

• 11.1. Continental AG
• 11.2. Delphi Automotive
• 11.3. First Sensor AG
• 11.4. Infineon Technologies AG
• 11.5. Innoviz Technologies, Ltd
• 11.6. LeddarTech, Inc.
• 11.7. Quanergy Systems, Inc
• 11.8. Texas Instruments, Inc.
• 11.9. Velodyne LiDAR, Inc.
• 11.10. ZF Friedrichshafen AG
• 11.11. Other Prominent Players

Chapter 12. Annexure

• 12.1. List of Secondary Sources
• 12.2. Macro-Economic Outlook/Indicators