Automotive LiDAR Market Forecast 2035:
According to the report, the global automotive LiDAR market is likely to grow from USD 0.9 Billion in 2025 to USD 5.3 Billion in 2035 at a highest CAGR of 19.6% during the time period. The expansion of the automotive LiDAR market all over the world is likewise motivated by the swift move towards autonomous driving and advanced driver-assistance systems (ADAS) where LiDAR is important in delivering accurate 3D cartography of the environment and accurate object recognition that is vital in vehicle safety. Having a world-wide autonomous vehicle rollout that is predicted to surpass 33 million by 2030, OEMs are now embedding LiDAR sensors in passenger and commercial vehicles and EV. The increased attention to electric cars only contributes to the increased demand because small-scale and compact LiDAR systems are more energy-efficient yet allow the system to implement more advanced collision avoidance and navigation functionalities. Solid-state, MEMS, and flash LiDAR technological innovations which are smaller, cheaper and less power-consuming make sensors more appropriate to mass-market adoption. Moreover, the government regulations and safety in some parts of the world such as North American, Europe and Asia Pacific promote the use of advanced sensing technologies in new automobiles. Partnerships between LiDAR devices manufacturers and automobile makers as well as increasing investments in smart infrastructure mobility remain driving expansions in the global automotive LiDAR market.
“Key Driver, Restraint, and Growth Opportunity Shaping the Global Automotive LiDAR Market
One significant limitation is that the complexity of integration and calibration during vehicle design. LiDAR placement is to be done with Northern latitude and with flawless coordinated positioning with cameras, radar and electronic control units (ECUs). Incorrect calibration may impact on performance, lead to higher warranty claims and slow down vehicle manufacturing particularly in mass-market EVs or compact car segments.
The increased need to have cost effective and miniature LiDAR sensors is a major opportunity in the global automotive LiDAR market. Solid-state and MEMS LiDAR innovations enable OEMs to embrace high-performance sensors at reduced costs, enabling them to broaden to a wide range of EVs in the middle range, commercial vehicles, and fleet automation, and increase the total addressable market.
Expansion of Global Automotive LiDAR Market
“Connected Vehicles, Technological Innovation, and EV Growth Driving Automotive LiDAR Market Expansion”
- Automotive LiDAR market growth is largely impacted by the connected and smart vehicle revolution. LiDAR sensors promote real-time 3D mapping, object detection, as well as the integration with V2X communication systems and improve autonomous driving and safety features. Firms such as Waymo and Velodyne are using LiDAR in the urban and highway contexts extensively, which will help in supporting the planned 33 million autonomous cars by 2030.
- Solid-state, MEMS, and flash LiDAR technologies make them smaller, cheaper and use less power, and can be easily incorporated into passenger vehicles and the commercial fleet. An example is the InnovizTwo Pro of Innoviz Technologies, which is compact and automotive-grade sensing and can be used in mass-market EVs to help OEMs address design and calibration issues and enhance sensor performance in a wide range of environmental conditions.
- This is further increased by the swift development of electric vehicles (EVs) that need automotive LiDAR market. EVs demand low mass, high-efficiency sensors to help to expand battery range and provide advanced ADAS. The LiDAR device is being incorporated by OEMs (BYD, Tesla, NIO) into battery enclosures, chassis, and smart cockpit, which makes LiDAR an important part of the next-generation EV, and autonomous vehicle ecosystem.
Regional Analysis of Global Automotive LiDAR Market
- The Asia Pacific is where the automotive LiDAR market is most demanded because of the high number of EVs manufactured there, the high rate of urbanization, and the numerous autonomous vehicle trials in the region. China itself produced more than 9 million EVs in 2023, with OEMs such as BYD, NIO, and Xpeng becoming more and more installers of LiDAR into ADAS and autonomous driving stack. The policies such as the New Energy Vehicle prerogative in China and smart mobility programs in South Korea also increase the rate of LiDAR adoption, which makes the region the biggest market in the world.
- The most significant growth will be observed in North America because of strict car safety policies, increasing EVs usage, and technological leadership in autonomous mode of driving. LiDAR is used by the U.S. and Canadian automakers, such as Tesla, Ford, and GM, as a stage of Level 3+ autonomy and high-level ADAS systems that are needed to satisfy NHTSA safety standards and state-level autonomous vehicle programs. The rapid market growth in the area is also made by investments in connected car infrastructure and cooperative R&D activities with LiDAR vendors such as Luminar and Velodyne.
Prominent players operating in the global automotive LiDAR market are Aeva Technologies, Inc., AEye, Inc., Blickfeld GmbH, Continental AG, Denso Corporation, Hesai Technology Co., Ltd., Ibeo Automotive Systems GmbH, Innoviz Technologies Ltd., LeddarTech Inc., Livox (subsidiary of DJI), Luminar Technologies, Inc., Ouster, Inc., Panasonic Corporation, Quanergy Systems, Inc., Robert Bosch GmbH, Seoul Robotics, Valeo S.A., Velodyne Lidar, Inc., Waymo LLC (subsidiary of Alphabet Inc.), ZF Friedrichshafen AG, and Other Key Players.
The global automotive LiDAR market has been segmented as follows:
Global Automotive LiDAR Market Analysis, by Technology Type
- Mechanical LiDAR
- Solid-State LiDAR
- Flash LiDAR
- MEMS LiDAR
- Hybrid LiDAR
- Others
Global Automotive LiDAR Market Analysis, by Component
- Laser Scanners
- Photodetectors
- Beam Steering Units
- Inertial Measurement Units (IMU)
- Software & Algorithms
- Others (e.g., GPS, cameras)
Global Automotive LiDAR Market Analysis, by Placement
- Roof-Mounted
- Bumper-Mounted
- Grille-Integrated
- Headlight/Rearview Integration
- Embedded/Interior (e.g., for cabin sensing)
- Others
Global Automotive LiDAR Market Analysis, by Image Projection
- 2D
- 3D
Global Automotive LiDAR Market Analysis, by Vehicle Autonomy Level
- Level 2 (Partial Automation)
- Level 3 (Conditional Automation)
- Level 4 (High Automation)
- Level 5 (Full Automation)
Global Automotive LiDAR Market Analysis, by Range
- Short-Range LiDAR
- Medium-Range LiDAR
- Long-Range LiDAR
Global Automotive LiDAR Market Analysis, by Application
- Adaptive Cruise Control (ACC)
- Automatic Emergency Braking (AEB)
- Lane Keep Assistance (LKA)
- Collision Avoidance Systems
- Traffic Sign Recognition
- Autonomous Navigation & Mapping
- Others
Global Automotive LiDAR Market Analysis, by Vehicle Type
- Passenger Vehicles
- Hatchback
- Sedan
- SUVs
- Light Commercial Vehicles
- Heavy Duty Trucks
- Buses & Coaches
- Robotaxis
- Autonomous Shuttles
- Off-road Vehicles
Global Automotive LiDAR Market Analysis, by Propulsion Type
- ICE Vehicles
- Gasoline
- Diesel
- Electric
- Battery Electric Vehicles
- Hybrid/ Plug-in Hybrid Electric Vehicles
- Fuel Cell Electric Vehicles
Global Automotive LiDAR Market Analysis, by Sales Channel
- OEM
- Aftermarket
Global Automotive LiDAR Market Analysis, by Region
- North America
- Europe
- Asia Pacific
- Middle East
- Africa
- South America
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Table of Contents
- 1. Research Methodology and Assumptions
- 1.1. Definitions
- 1.2. Research Design and Approach
- 1.3. Data Collection Methods
- 1.4. Base Estimates and Calculations
- 1.5. Forecasting Models
- 1.5.1. Key Forecast Factors & Impact Analysis
- 1.6. Secondary Research
- 1.6.1. Open Sources
- 1.6.2. Paid Databases
- 1.6.3. Associations
- 1.7. Primary Research
- 1.7.1. Primary Sources
- 1.7.2. Primary Interviews with Stakeholders across Ecosystem
- 2. Executive Summary
- 2.1. Global Automotive LiDAR Market Outlook
- 2.1.1. Automotive LiDAR Market Size (Volume - Million Units & Value - US$ Billion), and Forecasts, 2021-2035
- 2.1.2. Compounded Annual Growth Rate Analysis
- 2.1.3. Growth Opportunity Analysis
- 2.1.4. Segmental Share Analysis
- 2.1.5. Geographical Share Analysis
- 2.2. Market Analysis and Facts
- 2.3. Supply-Demand Analysis
- 2.4. Competitive Benchmarking
- 2.5. Go-to-Market Strategy
- 2.5.1. Customer/ End Use Industry Assessment
- 2.5.2. Growth Opportunity Data, 2025-2035
- 2.5.2.1. Regional Data
- 2.5.2.2. Country Data
- 2.5.2.3. Segmental Data
- 2.5.3. Identification of Potential Market Spaces
- 2.5.4. GAP Analysis
- 2.5.5. Potential Attractive Price Points
- 2.5.6. Prevailing Market Risks & Challenges
- 2.5.7. Preferred Sales & Marketing Strategies
- 2.5.8. Key Recommendations and Analysis
- 2.5.9. A Way Forward
- 2.1. Global Automotive LiDAR Market Outlook
- 3. Industry Data and Premium Insights
- 3.1. Global Automotive & Transportation Overview, 2025
- 3.1.1. Industry Ecosystem Analysis
- 3.1.2. Key Trends for Automotive & Transportation Industry
- 3.1.3. Regional Distribution for Automotive & Transportation
- 3.2. Supplier Customer Data
- 3.3. Technology Roadmap and Developments
- 3.1. Global Automotive & Transportation Overview, 2025
- 4. Market Overview
- 4.1. Market Dynamics
- 4.1.1. Drivers
- 4.1.1.1. Increasing development and deployment of autonomous vehicles (Level 3/4) and advanced driver‑assistance systems.
- 4.1.1.2. New safety mandates and evaluation programs (e.g., NCAP, EU GSR2) encourage OEMs to integrate LiDAR into vehicle safety systems.
- 4.1.1.3. Innovations such as solid‑state, MEMS, and ASIC‑driven LiDAR are improving performance.
- 4.1.2. Restraints
- 4.1.2.1. LiDAR accuracy deteriorates under adverse weather (rain, fog, snow), and systems generate massive data loads.
- 4.1.1. Drivers
- 4.2. Key Trend Analysis
- 4.3. Regulatory Framework
- 4.3.1. Key Regulations, Norms, and Subsidies, by Key Countries
- 4.3.2. Tariffs and Standards
- 4.3.3. Impact Analysis of Regulations on the Market
- 4.4. Value Chain Analysis/ Ecosystem Analysis
- 4.4.1. Raw Material/ Component Suppliers
- 4.4.2. Automotive LiDAR Manufacturers
- 4.4.3. Distributors & Retailers
- 4.4.4. Vehicle Manufacturers/ OEM
- 4.5. Cost Structure Analysis
- 4.5.1. Parameter’s Share for Cost Associated
- 4.5.2. COGP vs COGS
- 4.5.3. Profit Margin Analysis
- 4.6. Porter’s Five Forces Analysis
- 4.7. PESTEL Analysis
- 4.8. Global Automotive LiDAR Market Demand
- 4.8.1. Historical Market Size - in Value (Volume - Million Units & Value - US$ Billion), 2021-2024
- 4.8.2. Current and Future Market Size - in Value (Volume - Million Units & Value - US$ Billion), 2025–2035
- 4.8.2.1. Y-o-Y Growth Trends
- 4.8.2.2. Absolute $ Opportunity Assessment
- 4.1. Market Dynamics
- 5. Competition Landscape
- 5.1. Competition structure
- 5.1.1. Fragmented v/s consolidated
- 5.2. Company Share Analysis, 2025
- 5.2.1. Global Company Market Share
- 5.2.2. By Region
- 5.2.2.1. North America
- 5.2.2.2. Europe
- 5.2.2.3. Asia Pacific
- 5.2.2.4. Middle East
- 5.2.2.5. Africa
- 5.2.2.6. South America
- 5.3. Product Comparison Matrix
- 5.3.1. Specifications
- 5.3.2. Market Positioning
- 5.3.3. Pricing
- 5.1. Competition structure
- 6. Global Automotive LiDAR Market Analysis, by Technology Type
- 6.1. Key Segment Analysis
- 6.2. Automotive LiDAR Market Size (Volume - Million Units & Value - US$ Billion), Analysis, and Forecasts, by Technology Type, 2021-2035
- 6.2.1. Mechanical LiDAR
- 6.2.2. Solid-State LiDAR
- 6.2.3. Flash LiDAR
- 6.2.4. MEMS LiDAR
- 6.2.5. Hybrid LiDAR
- 6.2.6. Others
- 7. Global Automotive LiDAR Market Analysis, by Component
- 7.1. Key Segment Analysis
- 7.2. Automotive LiDAR Market Size (Value - US$ Billion), Analysis, and Forecasts, by Component, 2021-2035
- 7.2.1. Laser Scanners
- 7.2.2. Photodetectors
- 7.2.3. Beam Steering Units
- 7.2.4. Inertial Measurement Units (IMU)
- 7.2.5. Software & Algorithms
- 7.2.6. Others (e.g., GPS, cameras)
- 8. Global Automotive LiDAR Market Analysis, by Placement
- 8.1. Key Segment Analysis
- 8.2. Automotive LiDAR Market Size (Volume - Million Units & Value - US$ Billion), Analysis, and Forecasts, by Placement, 2021-2035
- 8.2.1. Roof-Mounted
- 8.2.2. Bumper-Mounted
- 8.2.3. Grille-Integrated
- 8.2.4. Headlight/Rearview Integration
- 8.2.5. Embedded/Interior (e.g., for cabin sensing)
- 8.2.6. Others
- 9. Global Automotive LiDAR Market Analysis, by Image Projection
- 9.1. Key Segment Analysis
- 9.2. Automotive LiDAR Market Size (Volume - Million Units & Value - US$ Billion), Analysis, and Forecasts, by Image Projection, 2021-2035
- 9.2.1. 2D
- 9.2.2. 3D
- 10. Global Automotive LiDAR Market Analysis, by Vehicle Autonomy Level
- 10.1. Key Segment Analysis
- 10.2. Automotive LiDAR Market Size (Volume - Million Units & Value - US$ Billion), Analysis, and Forecasts, by Vehicle Autonomy Level, 2021-2035
- 10.2.1. Level 2 (Partial Automation)
- 10.2.2. Level 3 (Conditional Automation)
- 10.2.3. Level 4 (High Automation)
- 10.2.4. Level 5 (Full Automation)
- 11. Global Automotive LiDAR Market Analysis, by Range
- 11.1. Key Segment Analysis
- 11.2. Automotive LiDAR Market Size (Volume - Million Units & Value - US$ Billion), Analysis, and Forecasts, by Range, 2021-2035
- 11.2.1. Short-Range LiDAR
- 11.2.2. Medium-Range LiDAR
- 11.2.3. Long-Range LiDAR
- 12. Global Automotive LiDAR Market Analysis, by Application
- 12.1. Key Segment Analysis
- 12.2. Automotive LiDAR Market Size (Value - US$ Billion), Analysis, and Forecasts, by Application, 2021-2035
- 12.2.1. Adaptive Cruise Control (ACC)
- 12.2.2. Automatic Emergency Braking (AEB)
- 12.2.3. Lane Keep Assistance (LKA)
- 12.2.4. Collision Avoidance Systems
- 12.2.5. Traffic Sign Recognition
- 12.2.6. Autonomous Navigation & Mapping
- 12.2.7. Others
- 13. Global Automotive LiDAR Market Analysis, by Vehicle Type
- 13.1. Key Segment Analysis
- 13.2. Automotive LiDAR Market Size (Value - US$ Billion), Analysis, and Forecasts, by Vehicle Type, 2021-2035
- 13.2.1. Passenger Vehicles
- 13.2.1.1. Hatchback
- 13.2.1.2. Sedan
- 13.2.1.3. SUVs
- 13.2.2. Light Commercial Vehicles
- 13.2.3. Heavy Duty Trucks
- 13.2.4. Buses & Coaches
- 13.2.5. Robotaxis
- 13.2.6. Autonomous Shuttles
- 13.2.7. Off-road Vehicles
- 13.2.1. Passenger Vehicles
- 14. Global Automotive LiDAR Market Analysis, by Propulsion Type
- 14.1. Key Segment Analysis
- 14.2. Automotive LiDAR Market Size (Value - US$ Billion), Analysis, and Forecasts, by Propulsion Type, 2021-2035
- 14.2.1. ICE Vehicles
- 14.2.1.1. Gasoline
- 14.2.1.2. Diesel
- 14.2.2. Electric
- 14.2.2.1. Battery Electric Vehicles
- 14.2.2.2. Hybrid/ Plug-in Hybrid Electric Vehicles
- 14.2.2.3. Fuel Cell Electric Vehicles
- 14.2.1. ICE Vehicles
- 15. Global Automotive LiDAR Market Analysis, by Sales Channel
- 15.1. Key Segment Analysis
- 15.2. Automotive LiDAR Market Size (Value - US$ Billion), Analysis, and Forecasts, by Sales Channel, 2021-2035
- 15.2.1. OEM
- 15.2.2. Aftermarket
- 16. Global Automotive LiDAR Market Analysis and Forecasts, by Region
- 16.1. Key Findings
- 16.2. Automotive LiDAR Market Size (Volume - Million Units & Value - US$ Billion), Analysis, and Forecasts, by Region, 2021-2035
- 16.2.1. North America
- 16.2.2. Europe
- 16.2.3. Asia Pacific
- 16.2.4. Middle East
- 16.2.5. Africa
- 16.2.6. South America
- 17. North America Automotive LiDAR Market Analysis
- 17.1. Key Segment Analysis
- 17.2. Regional Snapshot
- 17.3. North America Automotive LiDAR Market Size Volume - Million Units & Value - US$ Billion), Analysis, and Forecasts, 2021-2035
- 17.3.1. Technology Type
- 17.3.2. Component
- 17.3.3. Placement
- 17.3.4. Image Projection
- 17.3.5. Vehicle Autonomy Level
- 17.3.6. Range
- 17.3.7. Application
- 17.3.8. Vehicle Type
- 17.3.9. Propulsion Type
- 17.3.10. Sales Channel
- 17.3.11. Country
- 17.3.11.1. USA
- 17.3.11.2. Canada
- 17.3.11.3. Mexico
- 17.4. USA Automotive LiDAR Market
- 17.4.1. Country Segmental Analysis
- 17.4.2. Technology Type
- 17.4.3. Component
- 17.4.4. Placement
- 17.4.5. Image Projection
- 17.4.6. Vehicle Autonomy Level
- 17.4.7. Range
- 17.4.8. Application
- 17.4.9. Vehicle Type
- 17.4.10. Propulsion Type
- 17.4.11. Sales Channel
- 17.5. Canada Automotive LiDAR Market
- 17.5.1. Country Segmental Analysis
- 17.5.2. Technology Type
- 17.5.3. Component
- 17.5.4. Placement
- 17.5.5. Image Projection
- 17.5.6. Vehicle Autonomy Level
- 17.5.7. Range
- 17.5.8. Application
- 17.5.9. Vehicle Type
- 17.5.10. Propulsion Type
- 17.5.11. Sales Channel
- 17.6. Mexico Automotive LiDAR Market
- 17.6.1. Country Segmental Analysis
- 17.6.2. Technology Type
- 17.6.3. Component
- 17.6.4. Placement
- 17.6.5. Image Projection
- 17.6.6. Vehicle Autonomy Level
- 17.6.7. Range
- 17.6.8. Application
- 17.6.9. Vehicle Type
- 17.6.10. Propulsion Type
- 17.6.11. Sales Channel
- 18. Europe Automotive LiDAR Market Analysis
- 18.1. Key Segment Analysis
- 18.2. Regional Snapshot
- 18.3. Europe Automotive LiDAR Market Size (Volume - Million Units & Value - US$ Billion), Analysis, and Forecasts, 2021-2035
- 18.3.1. Technology Type
- 18.3.2. Component
- 18.3.3. Placement
- 18.3.4. Image Projection
- 18.3.5. Vehicle Autonomy Level
- 18.3.6. Range
- 18.3.7. Application
- 18.3.8. Vehicle Type
- 18.3.9. Propulsion Type
- 18.3.10. Sales Channel
- 18.3.11. Country
- 18.3.11.1. Germany
- 18.3.11.2. United Kingdom
- 18.3.11.3. France
- 18.3.11.4. Italy
- 18.3.11.5. Spain
- 18.3.11.6. Netherlands
- 18.3.11.7. Nordic Countries
- 18.3.11.8. Poland
- 18.3.11.9. Russia & CIS
- 18.3.11.10. Rest of Europe
- 18.4. Germany Automotive LiDAR Market
- 18.4.1. Country Segmental Analysis
- 18.4.2. Technology Type
- 18.4.3. Component
- 18.4.4. Placement
- 18.4.5. Image Projection
- 18.4.6. Vehicle Autonomy Level
- 18.4.7. Range
- 18.4.8. Application
- 18.4.9. Vehicle Type
- 18.4.10. Propulsion Type
- 18.4.11. Sales Channel
- 18.5. United Kingdom Automotive LiDAR Market
- 18.5.1. Country Segmental Analysis
- 18.5.2. Technology Type
- 18.5.3. Component
- 18.5.4. Placement
- 18.5.5. Image Projection
- 18.5.6. Vehicle Autonomy Level
- 18.5.7. Range
- 18.5.8. Application
- 18.5.9. Vehicle Type
- 18.5.10. Propulsion Type
- 18.5.11. Sales Channel
- 18.6. France Automotive LiDAR Market
- 18.6.1. Country Segmental Analysis
- 18.6.2. Technology Type
- 18.6.3. Component
- 18.6.4. Placement
- 18.6.5. Image Projection
- 18.6.6. Vehicle Autonomy Level
- 18.6.7. Range
- 18.6.8. Application
- 18.6.9. Vehicle Type
- 18.6.10. Propulsion Type
- 18.6.11. Sales Channel
- 18.7. Italy Automotive LiDAR Market
- 18.7.1. Country Segmental Analysis
- 18.7.2. Technology Type
- 18.7.3. Component
- 18.7.4. Placement
- 18.7.5. Image Projection
- 18.7.6. Vehicle Autonomy Level
- 18.7.7. Range
- 18.7.8. Application
- 18.7.9. Vehicle Type
- 18.7.10. Propulsion Type
- 18.7.11. Sales Channel
- 18.8. Spain Automotive LiDAR Market
- 18.8.1. Country Segmental Analysis
- 18.8.2. Technology Type
- 18.8.3. Component
- 18.8.4. Placement
- 18.8.5. Image Projection
- 18.8.6. Vehicle Autonomy Level
- 18.8.7. Range
- 18.8.8. Application
- 18.8.9. Vehicle Type
- 18.8.10. Propulsion Type
- 18.8.11. Sales Channel
- 18.9. Netherlands Automotive LiDAR Market
- 18.9.1. Country Segmental Analysis
- 18.9.2. Technology Type
- 18.9.3. Component
- 18.9.4. Placement
- 18.9.5. Image Projection
- 18.9.6. Vehicle Autonomy Level
- 18.9.7. Range
- 18.9.8. Application
- 18.9.9. Vehicle Type
- 18.9.10. Propulsion Type
- 18.9.11. Sales Channel
- 18.10. Nordic Countries Automotive LiDAR Market
- 18.10.1. Country Segmental Analysis
- 18.10.2. Technology Type
- 18.10.3. Component
- 18.10.4. Placement
- 18.10.5. Image Projection
- 18.10.6. Vehicle Autonomy Level
- 18.10.7. Range
- 18.10.8. Application
- 18.10.9. Vehicle Type
- 18.10.10. Propulsion Type
- 18.10.11. Sales Channel
- 18.11. Poland Automotive LiDAR Market
- 18.11.1. Country Segmental Analysis
- 18.11.2. Technology Type
- 18.11.3. Component
- 18.11.4. Placement
- 18.11.5. Image Projection
- 18.11.6. Vehicle Autonomy Level
- 18.11.7. Range
- 18.11.8. Application
- 18.11.9. Vehicle Type
- 18.11.10. Propulsion Type
- 18.11.11. Sales Channel
- 18.12. Russia & CIS Automotive LiDAR Market
- 18.12.1. Country Segmental Analysis
- 18.12.2. Technology Type
- 18.12.3. Component
- 18.12.4. Placement
- 18.12.5. Image Projection
- 18.12.6. Vehicle Autonomy Level
- 18.12.7. Range
- 18.12.8. Application
- 18.12.9. Vehicle Type
- 18.12.10. Propulsion Type
- 18.12.11. Sales Channel
- 18.13. Rest of Europe Automotive LiDAR Market
- 18.13.1. Country Segmental Analysis
- 18.13.2. Technology Type
- 18.13.3. Component
- 18.13.4. Placement
- 18.13.5. Image Projection
- 18.13.6. Vehicle Autonomy Level
- 18.13.7. Range
- 18.13.8. Application
- 18.13.9. Vehicle Type
- 18.13.10. Propulsion Type
- 18.13.11. Sales Channel
- 19. Asia Pacific Automotive LiDAR Market Analysis
- 19.1. Key Segment Analysis
- 19.2. Regional Snapshot
- 19.3. East Asia Automotive LiDAR Market Size (Volume - Million Units & Value - US$ Billion), Analysis, and Forecasts, 2021-2035
- 19.3.1. Technology Type
- 19.3.2. Component
- 19.3.3. Placement
- 19.3.4. Image Projection
- 19.3.5. Vehicle Autonomy Level
- 19.3.6. Range
- 19.3.7. Application
- 19.3.8. Vehicle Type
- 19.3.9. Propulsion Type
- 19.3.10. Sales Channel
- 19.3.11. Country
- 19.3.11.1. China
- 19.3.11.2. India
- 19.3.11.3. Japan
- 19.3.11.4. South Korea
- 19.3.11.5. Australia and New Zealand
- 19.3.11.6. Indonesia
- 19.3.11.7. Malaysia
- 19.3.11.8. Thailand
- 19.3.11.9. Vietnam
- 19.3.11.10. Rest of Asia Pacific
- 19.4. China Automotive LiDAR Market
- 19.4.1. Country Segmental Analysis
- 19.4.2. Technology Type
- 19.4.3. Component
- 19.4.4. Placement
- 19.4.5. Image Projection
- 19.4.6. Vehicle Autonomy Level
- 19.4.7. Range
- 19.4.8. Application
- 19.4.9. Vehicle Type
- 19.4.10. Propulsion Type
- 19.4.11. Sales Channel
- 19.5. India Automotive LiDAR Market
- 19.5.1. Country Segmental Analysis
- 19.5.2. Technology Type
- 19.5.3. Component
- 19.5.4. Placement
- 19.5.5. Image Projection
- 19.5.6. Vehicle Autonomy Level
- 19.5.7. Range
- 19.5.8. Application
- 19.5.9. Vehicle Type
- 19.5.10. Propulsion Type
- 19.5.11. Sales Channel
- 19.6. Japan Automotive LiDAR Market
- 19.6.1. Country Segmental Analysis
- 19.6.2. Technology Type
- 19.6.3. Component
- 19.6.4. Placement
- 19.6.5. Image Projection
- 19.6.6. Vehicle Autonomy Level
- 19.6.7. Range
- 19.6.8. Application
- 19.6.9. Vehicle Type
- 19.6.10. Propulsion Type
- 19.6.11. Sales Channel
- 19.7. South Korea Automotive LiDAR Market
- 19.7.1. Country Segmental Analysis
- 19.7.2. Technology Type
- 19.7.3. Component
- 19.7.4. Placement
- 19.7.5. Image Projection
- 19.7.6. Vehicle Autonomy Level
- 19.7.7. Range
- 19.7.8. Application
- 19.7.9. Vehicle Type
- 19.7.10. Propulsion Type
- 19.7.11. Sales Channel
- 19.8. Australia and New Zealand Automotive LiDAR Market
- 19.8.1. Country Segmental Analysis
- 19.8.2. Technology Type
- 19.8.3. Component
- 19.8.4. Placement
- 19.8.5. Image Projection
- 19.8.6. Vehicle Autonomy Level
- 19.8.7. Range
- 19.8.8. Application
- 19.8.9. Vehicle Type
- 19.8.10. Propulsion Type
- 19.8.11. Sales Channel
- 19.9. Indonesia Automotive LiDAR Market
- 19.9.1. Country Segmental Analysis
- 19.9.2. Technology Type
- 19.9.3. Component
- 19.9.4. Placement
- 19.9.5. Image Projection
- 19.9.6. Vehicle Autonomy Level
- 19.9.7. Range
- 19.9.8. Application
- 19.9.9. Vehicle Type
- 19.9.10. Propulsion Type
- 19.9.11. Sales Channel
- 19.10. Malaysia Automotive LiDAR Market
- 19.10.1. Country Segmental Analysis
- 19.10.2. Technology Type
- 19.10.3. Component
- 19.10.4. Placement
- 19.10.5. Image Projection
- 19.10.6. Vehicle Autonomy Level
- 19.10.7. Range
- 19.10.8. Application
- 19.10.9. Vehicle Type
- 19.10.10. Propulsion Type
- 19.10.11. Sales Channel
- 19.11. Thailand Automotive LiDAR Market
- 19.11.1. Country Segmental Analysis
- 19.11.2. Technology Type
- 19.11.3. Component
- 19.11.4. Placement
- 19.11.5. Image Projection
- 19.11.6. Vehicle Autonomy Level
- 19.11.7. Range
- 19.11.8. Application
- 19.11.9. Vehicle Type
- 19.11.10. Propulsion Type
- 19.11.11. Sales Channel
- 19.12. Vietnam Automotive LiDAR Market
- 19.12.1. Country Segmental Analysis
- 19.12.2. Technology Type
- 19.12.3. Component
- 19.12.4. Placement
- 19.12.5. Image Projection
- 19.12.6. Vehicle Autonomy Level
- 19.12.7. Range
- 19.12.8. Application
- 19.12.9. Vehicle Type
- 19.12.10. Propulsion Type
- 19.12.11. Sales Channel
- 19.13. Rest of Asia Pacific Automotive LiDAR Market
- 19.13.1. Country Segmental Analysis
- 19.13.2. Technology Type
- 19.13.3. Component
- 19.13.4. Placement
- 19.13.5. Image Projection
- 19.13.6. Vehicle Autonomy Level
- 19.13.7. Range
- 19.13.8. Application
- 19.13.9. Vehicle Type
- 19.13.10. Propulsion Type
- 19.13.11. Sales Channel
- 20. Middle East Automotive LiDAR Market Analysis
- 20.1. Key Segment Analysis
- 20.2. Regional Snapshot
- 20.3. Middle East Automotive LiDAR Market Size (Volume - Million Units & Value - US$ Billion), Analysis, and Forecasts, 2021-2035
- 20.3.1. Technology Type
- 20.3.2. Component
- 20.3.3. Placement
- 20.3.4. Image Projection
- 20.3.5. Vehicle Autonomy Level
- 20.3.6. Range
- 20.3.7. Application
- 20.3.8. Vehicle Type
- 20.3.9. Propulsion Type
- 20.3.10. Sales Channel
- 20.3.11. Country
- 20.3.11.1. Turkey
- 20.3.11.2. UAE
- 20.3.11.3. Saudi Arabia
- 20.3.11.4. Israel
- 20.3.11.5. Rest of Middle East
- 20.4. Turkey Automotive LiDAR Market
- 20.4.1. Country Segmental Analysis
- 20.4.2. Technology Type
- 20.4.3. Component
- 20.4.4. Placement
- 20.4.5. Image Projection
- 20.4.6. Vehicle Autonomy Level
- 20.4.7. Range
- 20.4.8. Application
- 20.4.9. Vehicle Type
- 20.4.10. Propulsion Type
- 20.4.11. Sales Channel
- 20.5. UAE Automotive LiDAR Market
- 20.5.1. Country Segmental Analysis
- 20.5.2. Technology Type
- 20.5.3. Component
- 20.5.4. Placement
- 20.5.5. Image Projection
- 20.5.6. Vehicle Autonomy Level
- 20.5.7. Range
- 20.5.8. Application
- 20.5.9. Vehicle Type
- 20.5.10. Propulsion Type
- 20.5.11. Sales Channel
- 20.6. Saudi Arabia Automotive LiDAR Market
- 20.6.1. Country Segmental Analysis
- 20.6.2. Technology Type
- 20.6.3. Component
- 20.6.4. Placement
- 20.6.5. Image Projection
- 20.6.6. Vehicle Autonomy Level
- 20.6.7. Range
- 20.6.8. Application
- 20.6.9. Vehicle Type
- 20.6.10. Propulsion Type
- 20.6.11. Sales Channel
- 20.7. Israel Automotive LiDAR Market
- 20.7.1. Country Segmental Analysis
- 20.7.2. Technology Type
- 20.7.3. Component
- 20.7.4. Placement
- 20.7.5. Image Projection
- 20.7.6. Vehicle Autonomy Level
- 20.7.7. Range
- 20.7.8. Application
- 20.7.9. Vehicle Type
- 20.7.10. Propulsion Type
- 20.7.11. Sales Channel
- 20.8. Rest of Middle East Automotive LiDAR Market
- 20.8.1. Country Segmental Analysis
- 20.8.2. Technology Type
- 20.8.3. Component
- 20.8.4. Placement
- 20.8.5. Image Projection
- 20.8.6. Vehicle Autonomy Level
- 20.8.7. Range
- 20.8.8. Application
- 20.8.9. Vehicle Type
- 20.8.10. Propulsion Type
- 20.8.11. Sales Channel
- 21. Africa Automotive LiDAR Market Analysis
- 21.1. Key Segment Analysis
- 21.2. Regional Snapshot
- 21.3. Africa Automotive LiDAR Market Size (Volume - Million Units & Value - US$ Billion), Analysis, and Forecasts, 2021-2035
- 21.3.1. Technology Type
- 21.3.2. Component
- 21.3.3. Placement
- 21.3.4. Image Projection
- 21.3.5. Vehicle Autonomy Level
- 21.3.6. Range
- 21.3.7. Application
- 21.3.8. Vehicle Type
- 21.3.9. Propulsion Type
- 21.3.10. Sales Channel
- 21.3.11. Country
- 21.3.11.1. South Africa
- 21.3.11.2. Egypt
- 21.3.11.3. Nigeria
- 21.3.11.4. Algeria
- 21.3.11.5. Rest of Africa
- 21.4. South Africa Automotive LiDAR Market
- 21.4.1. Country Segmental Analysis
- 21.4.2. Technology Type
- 21.4.3. Component
- 21.4.4. Placement
- 21.4.5. Image Projection
- 21.4.6. Vehicle Autonomy Level
- 21.4.7. Range
- 21.4.8. Application
- 21.4.9. Vehicle Type
- 21.4.10. Propulsion Type
- 21.4.11. Sales Channel
- 21.5. Egypt Automotive LiDAR Market
- 21.5.1. Country Segmental Analysis
- 21.5.2. Technology Type
- 21.5.3. Component
- 21.5.4. Placement
- 21.5.5. Image Projection
- 21.5.6. Vehicle Autonomy Level
- 21.5.7. Range
- 21.5.8. Application
- 21.5.9. Vehicle Type
- 21.5.10. Propulsion Type
- 21.5.11. Sales Channel
- 21.6. Nigeria Automotive LiDAR Market
- 21.6.1. Country Segmental Analysis
- 21.6.2. Technology Type
- 21.6.3. Component
- 21.6.4. Placement
- 21.6.5. Image Projection
- 21.6.6. Vehicle Autonomy Level
- 21.6.7. Range
- 21.6.8. Application
- 21.6.9. Vehicle Type
- 21.6.10. Propulsion Type
- 21.6.11. Sales Channel
- 21.7. Algeria Automotive LiDAR Market
- 21.7.1. Country Segmental Analysis
- 21.7.2. Technology Type
- 21.7.3. Component
- 21.7.4. Placement
- 21.7.5. Image Projection
- 21.7.6. Vehicle Autonomy Level
- 21.7.7. Range
- 21.7.8. Application
- 21.7.9. Vehicle Type
- 21.7.10. Propulsion Type
- 21.7.11. Sales Channel
- 21.8. Rest of Africa Automotive LiDAR Market
- 21.8.1. Country Segmental Analysis
- 21.8.2. Technology Type
- 21.8.3. Component
- 21.8.4. Placement
- 21.8.5. Image Projection
- 21.8.6. Vehicle Autonomy Level
- 21.8.7. Range
- 21.8.8. Application
- 21.8.9. Vehicle Type
- 21.8.10. Propulsion Type
- 21.8.11. Sales Channel
- 22. South America Automotive LiDAR Market Analysis
- 22.1. Key Segment Analysis
- 22.2. Regional Snapshot
- 22.3. Central and South Africa Automotive LiDAR Market Size (Volume - Million Units & Value - US$ Billion), Analysis, and Forecasts, 2021-2035
- 22.3.1. Technology Type
- 22.3.2. Component
- 22.3.3. Placement
- 22.3.4. Image Projection
- 22.3.5. Vehicle Autonomy Level
- 22.3.6. Range
- 22.3.7. Application
- 22.3.8. Vehicle Type
- 22.3.9. Propulsion Type
- 22.3.10. Sales Channel
- 22.3.11. Country
- 22.3.11.1. Brazil
- 22.3.11.2. Argentina
- 22.3.11.3. Rest of South America
- 22.4. Brazil Automotive LiDAR Market
- 22.4.1. Country Segmental Analysis
- 22.4.2. Technology Type
- 22.4.3. Component
- 22.4.4. Placement
- 22.4.5. Image Projection
- 22.4.6. Vehicle Autonomy Level
- 22.4.7. Range
- 22.4.8. Application
- 22.4.9. Vehicle Type
- 22.4.10. Propulsion Type
- 22.4.11. Sales Channel
- 22.5. Argentina Automotive LiDAR Market
- 22.5.1. Country Segmental Analysis
- 22.5.2. Technology Type
- 22.5.3. Component
- 22.5.4. Placement
- 22.5.5. Image Projection
- 22.5.6. Vehicle Autonomy Level
- 22.5.7. Range
- 22.5.8. Application
- 22.5.9. Vehicle Type
- 22.5.10. Propulsion Type
- 22.5.11. Sales Channel
- 22.6. Rest of South America Automotive LiDAR Market
- 22.6.1. Country Segmental Analysis
- 22.6.2. Technology Type
- 22.6.3. Component
- 22.6.4. Placement
- 22.6.5. Image Projection
- 22.6.6. Vehicle Autonomy Level
- 22.6.7. Range
- 22.6.8. Application
- 22.6.9. Vehicle Type
- 22.6.10. Propulsion Type
- 22.6.11. Sales Channel
- 23. Key Players/ Company Profile
- 23.1. Aeva Technologies, Inc.
- 23.1.1. Company Details/ Overview
- 23.1.2. Company Financials
- 23.1.3. Key Customers and Competitors
- 23.1.4. Business/ Industry Portfolio
- 23.1.5. Product Portfolio/ Specification Details
- 23.1.6. Pricing Data
- 23.1.7. Strategic Overview
- 23.1.8. Recent Developments
- 23.2. AEye, Inc.
- 23.3. Blickfeld GmbH
- 23.4. Continental AG
- 23.5. Denso Corporation
- 23.6. Hesai Technology Co., Ltd.
- 23.7. Ibeo Automotive Systems GmbH
- 23.8. Innoviz Technologies Ltd.
- 23.9. LeddarTech Inc.
- 23.10. Livox (subsidiary of DJI)
- 23.11. Luminar Technologies, Inc.
- 23.12. Ouster, Inc.
- 23.13. Panasonic Corporation
- 23.14. Quanergy Systems, Inc.
- 23.15. Robert Bosch GmbH
- 23.16. Seoul Robotics
- 23.17. Valeo S.A.
- 23.18. Velodyne Lidar, Inc.
- 23.19. Waymo LLC (subsidiary of Alphabet Inc.)
- 23.20. ZF Friedrichshafen AG
- 23.21. Other Key Players
- 23.1. Aeva Technologies, Inc.
Note* - This is just tentative list of players. While providing the report, we will cover a greater number of players based on their revenue and share for each geography
Our research design integrates both demand-side and supply-side analysis through a balanced combination of primary and secondary research methodologies. By utilizing both bottom-up and top-down approaches alongside rigorous data triangulation methods, we deliver robust market intelligence that supports strategic decision-making.
MarketGenics' comprehensive research design framework ensures the delivery of accurate, reliable, and actionable market intelligence. Through the integration of multiple research approaches, rigorous validation processes, and expert analysis, we provide our clients with the insights needed to make informed strategic decisions and capitalize on market opportunities.
MarketGenics leverages a dedicated industry panel of experts and a comprehensive suite of paid databases to effectively collect, consolidate, and analyze market intelligence.
Our approach has consistently proven to be reliable and effective in generating accurate market insights, identifying key industry trends, and uncovering emerging business opportunities.
Through both primary and secondary research, we capture and analyze critical company-level data such as manufacturing footprints, including technical centers, R&D facilities, sales offices, and headquarters.
Our expert panel further enhances our ability to estimate market size for specific brands based on validated field-level intelligence.
Our data mining techniques incorporate both parametric and non-parametric methods, allowing for structured data collection, sorting, processing, and cleaning.
Demand projections are derived from large-scale data sets analyzed through proprietary algorithms, culminating in robust and reliable market sizing.
The bottom-up approach builds market estimates by starting with the smallest addressable market units and systematically aggregating them to create comprehensive market size projections.
This method begins with specific, granular data points and builds upward to create the complete market landscape.
Customer Analysis → Segmental Analysis → Geographical Analysis
The top-down approach starts with the broadest possible market data and systematically narrows it down through a series of filters and assumptions to arrive at specific market segments or opportunities.
This method begins with the big picture and works downward to increasingly specific market slices.
TAM → SAM → SOM
While analysing the market, we extensively study secondary sources, directories, and databases to identify and collect information useful for this technical, market-oriented, and commercial report. Secondary sources that we utilize are not only the public sources, but it is combination of Open Source, Associations, Paid Databases, MG Repository & Knowledgebase and Others.
- Company websites, annual reports, financial reports, broker reports, and investor presentations
- National government documents, statistical databases and reports
- News articles, press releases and web-casts specific to the companies operating in the market, Magazines, reports, and others
- We gather information from commercial data sources for deriving company specific data such as segmental revenue, share for geography, product revenue, and others
- Internal and external proprietary databases (industry-specific), relevant patent, and regulatory databases
- Governing Bodies, Government Organizations
- Relevant Authorities, Country-specific Associations for Industries
We also employ the model mapping approach to estimate the product level market data through the players product portfolio
Primary research/ interviews is vital in analyzing the market. Most of the cases involves paid primary interviews. Primary sources includes primary interviews through e-mail interactions, telephonic interviews, surveys as well as face-to-face interviews with the different stakeholders across the value chain including several industry experts.
| Type of Respondents | Number of Primaries |
|---|---|
| Tier 2/3 Suppliers | ~20 |
| Tier 1 Suppliers | ~25 |
| End-users | ~25 |
| Industry Expert/ Panel/ Consultant | ~30 |
| Total | ~100 |
MG Knowledgebase
• Repository of industry blog, newsletter and case studies
• Online platform covering detailed market reports, and company profiles
- Historical Trends – Past market patterns, cycles, and major events that shaped how markets behave over time. Understanding past trends helps predict future behavior.
- Industry Factors – Specific characteristics of the industry like structure, regulations, and innovation cycles that affect market dynamics.
- Macroeconomic Factors – Economic conditions like GDP growth, inflation, and employment rates that affect how much money people have to spend.
- Demographic Factors – Population characteristics like age, income, and location that determine who can buy your product.
- Technology Factors – How quickly people adopt new technology and how much technology infrastructure exists.
- Regulatory Factors – Government rules, laws, and policies that can help or restrict market growth.
- Competitive Factors – Analyzing competition structure such as degree of competition and bargaining power of buyers and suppliers.
Multiple Regression Analysis
- Identify and quantify factors that drive market changes
- Statistical modeling to establish relationships between market drivers and outcomes
Time Series Analysis – Seasonal Patterns
- Understand regular cyclical patterns in market demand
- Advanced statistical techniques to separate trend, seasonal, and irregular components
Time Series Analysis – Trend Analysis
- Identify underlying market growth patterns and momentum
- Statistical analysis of historical data to project future trends
Expert Opinion – Expert Interviews
- Gather deep industry insights and contextual understanding
- In-depth interviews with key industry stakeholders
Multi-Scenario Development
- Prepare for uncertainty by modeling different possible futures
- Creating optimistic, pessimistic, and most likely scenarios
Time Series Analysis – Moving Averages
- Sophisticated forecasting for complex time series data
- Auto-regressive integrated moving average models with seasonal components
Econometric Models
- Apply economic theory to market forecasting
- Sophisticated economic models that account for market interactions
Expert Opinion – Delphi Method
- Harness collective wisdom of industry experts
- Structured, multi-round expert consultation process
Monte Carlo Simulation
- Quantify uncertainty and probability distributions
- Thousands of simulations with varying input parameters
Our research framework is built upon the fundamental principle of validating market intelligence from both demand and supply perspectives. This dual-sided approach ensures comprehensive market understanding and reduces the risk of single-source bias.
Demand-Side Analysis: We understand end-user/application behavior, preferences, and market needs along with the penetration of the product for specific application.
Supply-Side Analysis: We estimate overall market revenue, analyze the segmental share along with industry capacity, competitive landscape, and market structure.
Data triangulation is a validation technique that uses multiple methods, sources, or perspectives to examine the same research question, thereby increasing the credibility and reliability of research findings. In market research, triangulation serves as a quality assurance mechanism that helps identify and minimize bias, validate assumptions, and ensure accuracy in market estimates.
- Data Source Triangulation – Using multiple data sources to examine the same phenomenon
- Methodological Triangulation – Using multiple research methods to study the same research question
- Investigator Triangulation – Using multiple researchers or analysts to examine the same data
- Theoretical Triangulation – Using multiple theoretical perspectives to interpret the same data
