Automotive 3D Scanning LIDAR Sensors Comprehensive Study by Type (IC Engine Vehicles, Hybrid Electric Vehicles (HEVs), Plug-in Hybrid Electric Vehicles (PHEVs), Battery Electric Vehicles (BEVs)), Application (Semi-autonomous, Autonomous), Range (Short & Mid-range Automotive Lidar, Long range Automotive Lidar), Image Projection (2D Automotive LiDAR, 3D Automotive LiDAR, Others)

Automotive 3D Scanning LIDAR Sensors Market by XX Submarkets | Forecast Years 2022-2027  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
Automotive LiDAR scanners are autonomous vehicle sensors essential to the development of autonomous cars. Valeo's LiDAR technology is considered one of the best Advanced Driver Assistance Systems (ADAS) on the market. Light Detection and Ranging (LiDAR) sensors are used to detect objects and estimate distances. The stand-alone, solid-state, MEMS-based scanning automotive LIDAR sensor, is forging a path for the industry to better test and develop the next generation of autonomous driving programs. Growing number of Automotive 3d Scanning Lidar Sensors Players across Regions is expected to drive the Market Growth. Increasing Investments by Prominent Vendors in Product capabilities and Business Expansion is expected to Fuel the Market Growth.

The Global Automotive 3D Scanning LIDAR Sensors market presents a comprehensive analysis of the Automotive 3D Scanning LIDAR Sensors market by product type (IC Engine Vehicles, Hybrid Electric Vehicles (HEVs), Plug-in Hybrid Electric Vehicles (PHEVs) and Battery Electric Vehicles (BEVs)), by end-user/application (Semi-autonomous and Autonomous), and by geography (North America, South America, Europe, Asia-Pacific and MEA) along with country level break-up. The key Vendors profiled in the report are Hexagon AB (Sweden), Velodyne Lidar Inc. (United States), Sick AG. (Germany), Topcon Positioning Systems, Inc. (United States), Trimble Inc. Geospatial (United States), RIEGL Laser Measurement Systems GmbH (Austria), Teledyne Optech (Canada), Leosphere (France), Waymo LLC (United States and Valeo S.A. (France).

AttributesDetails
Study Period2017-2027
Base Year2021
Forecast Period-2027
Historical Period2017-2021
UnitValue (USD Million)
Key Companies ProfiledHexagon AB (Sweden), Velodyne Lidar Inc. (United States), Sick AG. (Germany), Topcon Positioning Systems, Inc. (United States), Trimble Inc. Geospatial (United States), RIEGL Laser Measurement Systems GmbH (Austria), Teledyne Optech (Canada), Leosphere (France), Waymo LLC (United States and Valeo S.A. (France)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


Automotive 3D Scanning LIDAR Sensors Market Dynamics:
AttributesDetails
Growth Drivers
  • Growing number of Automotive 3d Scanning Lidar Sensors Players Across Regions is Expected to Drive Market Growth
  • Increasing Investments by Prominent Vendors in Product capabilities and Business Expansion is Expected to Fuel the Market Growth
Influencing Trends
  • Increasing Innovation in Autonomous Robotics Platform and Developing of Active Sensors
  • Growing Demand for Fully Autonomous Driving in Desert Environments
Restraints
  • High cost of the 3D laser scanning camera
  • Low Level of Maturity of Automotive 3d Scanning Lidar Sensors are some of the Major Obstacles for the Market
Road Blocks / Challenges
  • Increasing Investigation on the Performance Assessment of a Low-cost Automotive LIDAR
Gaps & Opportunities
  • Players are Finding Lucrative Opportunities in Emerging Economies like China and India
  • Increasing Awareness of Autonomous Vehicles in Urban Environments


Regional Breakdown and Segment Analysis
This section of our report presents a realistic picture of the Global Automotive 3D Scanning LIDAR Sensors industry. Investors and manufacturers can easily understand the inherent opportunities and challenges for their products in the geographical region of interest.

The Range, such as Short & Mid-range Automotive Lidar, is boosting the Automotive 3D Scanning LIDAR Sensors market and is anticipated to experience a steady growth during the forecast period.

The Image Projection, such as 2D Automotive LiDAR, is boosting the Automotive 3D Scanning LIDAR Sensors market and is anticipated to experience a steady growth during the forecast period.

The key manufacturers are targeting the innovations of the products with better quality, better technical characteristics, and also assist in providing and humanizing the after-sale service to the consumers. The key players are probable to keep a stronghold on the market over the anticipated period. The key players are accepting strategic decisions and are thinking upon mergers and acquisitions in order to maintain their presence in the market.
The regional segmentation covered in this report are:


Report Objectives / Segmentation Covered

By Type
  • IC Engine Vehicles
  • Hybrid Electric Vehicles (HEVs)
  • Plug-in Hybrid Electric Vehicles (PHEVs)
  • Battery Electric Vehicles (BEVs)
By Application
  • Semi-autonomous
  • Autonomous
By Range
  • Short & Mid-range Automotive Lidar
  • Long range Automotive Lidar

By Image Projection
  • 2D Automotive LiDAR
  • 3D Automotive LiDAR
  • Others

By Regions
    • 1. Market Overview
      • 1.1. Introduction
      • 1.2. Scope/Objective of the Study
        • 1.2.1. Research Objective
    • 2. Executive Summary
      • 2.1. Introduction
    • 3. Market Dynamics
      • 3.1. Introduction
      • 3.2. Market Drivers
        • 3.2.1. Growing number of Automotive 3d Scanning Lidar Sensors Players Across Regions is Expected to Drive Market Growth
        • 3.2.2. Increasing Investments by Prominent Vendors in Product capabilities and Business Expansion is Expected to Fuel the Market Growth
      • 3.3. Market Challenges
        • 3.3.1. Increasing Investigation on the Performance Assessment of a Low-cost Automotive LIDAR
      • 3.4. Market Trends
        • 3.4.1. Increasing Innovation in Autonomous Robotics Platform and Developing of Active Sensors
        • 3.4.2. Growing Demand for Fully Autonomous Driving in Desert Environments
    • 4. Market Factor Analysis
      • 4.1. Porters Five Forces
      • 4.2. Supply/Value Chain
      • 4.3. PESTEL analysis
      • 4.4. Market Entropy
      • 4.5. Patent/Trademark Analysis
    • 5. Global Automotive 3D Scanning LIDAR Sensors, by Type, Application, Range and Image Projection (value, volume and price ) (2016-2021)
      • 5.1. Introduction
      • 5.2. Global Automotive 3D Scanning LIDAR Sensors (Value)
        • 5.2.1. Global Automotive 3D Scanning LIDAR Sensors by: Type (Value)
          • 5.2.1.1. IC Engine Vehicles
          • 5.2.1.2. Hybrid Electric Vehicles (HEVs)
          • 5.2.1.3. Plug-in Hybrid Electric Vehicles (PHEVs)
          • 5.2.1.4. Battery Electric Vehicles (BEVs)
        • 5.2.2. Global Automotive 3D Scanning LIDAR Sensors by: Application (Value)
          • 5.2.2.1. Semi-autonomous
          • 5.2.2.2. Autonomous
        • 5.2.3. Global Automotive 3D Scanning LIDAR Sensors by: Range (Value)
          • 5.2.3.1. Short & Mid-range Automotive Lidar
          • 5.2.3.2. Long range Automotive Lidar
        • 5.2.4. Global Automotive 3D Scanning LIDAR Sensors by: Image Projection (Value)
          • 5.2.4.1. 2D Automotive LiDAR
          • 5.2.4.2. 3D Automotive LiDAR
          • 5.2.4.3. Others
      • 5.3. Global Automotive 3D Scanning LIDAR Sensors (Volume)
        • 5.3.1. Global Automotive 3D Scanning LIDAR Sensors by: Type (Volume)
          • 5.3.1.1. IC Engine Vehicles
          • 5.3.1.2. Hybrid Electric Vehicles (HEVs)
          • 5.3.1.3. Plug-in Hybrid Electric Vehicles (PHEVs)
          • 5.3.1.4. Battery Electric Vehicles (BEVs)
        • 5.3.2. Global Automotive 3D Scanning LIDAR Sensors by: Application (Volume)
          • 5.3.2.1. Semi-autonomous
          • 5.3.2.2. Autonomous
        • 5.3.3. Global Automotive 3D Scanning LIDAR Sensors by: Range (Volume)
          • 5.3.3.1. Short & Mid-range Automotive Lidar
          • 5.3.3.2. Long range Automotive Lidar
        • 5.3.4. Global Automotive 3D Scanning LIDAR Sensors by: Image Projection (Volume)
          • 5.3.4.1. 2D Automotive LiDAR
          • 5.3.4.2. 3D Automotive LiDAR
          • 5.3.4.3. Others
      • 5.4. Global Automotive 3D Scanning LIDAR Sensors (Price)
        • 5.4.1. Global Automotive 3D Scanning LIDAR Sensors by: Type (Price)
    • 6. Automotive 3D Scanning LIDAR Sensors: Manufacturers/Players Analysis
      • 6.1. Competitive Landscape
        • 6.1.1. Market Share Analysis
          • 6.1.1.1. Top 3
          • 6.1.1.2. Top 5
      • 6.2. Peer Group Analysis (2021)
      • 6.3. BCG Matrix
      • 6.4. Company Profile
        • 6.4.1. Hexagon AB (Sweden)
          • 6.4.1.1. Business Overview
          • 6.4.1.2. Products/Services Offerings
          • 6.4.1.3. Financial Analysis
          • 6.4.1.4. SWOT Analysis
        • 6.4.2. Velodyne Lidar Inc. (United States)
          • 6.4.2.1. Business Overview
          • 6.4.2.2. Products/Services Offerings
          • 6.4.2.3. Financial Analysis
          • 6.4.2.4. SWOT Analysis
        • 6.4.3. Sick AG. (Germany)
          • 6.4.3.1. Business Overview
          • 6.4.3.2. Products/Services Offerings
          • 6.4.3.3. Financial Analysis
          • 6.4.3.4. SWOT Analysis
        • 6.4.4. Topcon Positioning Systems, Inc. (United States)
          • 6.4.4.1. Business Overview
          • 6.4.4.2. Products/Services Offerings
          • 6.4.4.3. Financial Analysis
          • 6.4.4.4. SWOT Analysis
        • 6.4.5. Trimble Inc. Geospatial (United States)
          • 6.4.5.1. Business Overview
          • 6.4.5.2. Products/Services Offerings
          • 6.4.5.3. Financial Analysis
          • 6.4.5.4. SWOT Analysis
        • 6.4.6. RIEGL Laser Measurement Systems GmbH (Austria)
          • 6.4.6.1. Business Overview
          • 6.4.6.2. Products/Services Offerings
          • 6.4.6.3. Financial Analysis
          • 6.4.6.4. SWOT Analysis
        • 6.4.7. Teledyne Optech (Canada)
          • 6.4.7.1. Business Overview
          • 6.4.7.2. Products/Services Offerings
          • 6.4.7.3. Financial Analysis
          • 6.4.7.4. SWOT Analysis
        • 6.4.8. Leosphere (France)
          • 6.4.8.1. Business Overview
          • 6.4.8.2. Products/Services Offerings
          • 6.4.8.3. Financial Analysis
          • 6.4.8.4. SWOT Analysis
        • 6.4.9. Waymo LLC (United States
          • 6.4.9.1. Business Overview
          • 6.4.9.2. Products/Services Offerings
          • 6.4.9.3. Financial Analysis
          • 6.4.9.4. SWOT Analysis
        • 6.4.10. Valeo S.A. (France)
          • 6.4.10.1. Business Overview
          • 6.4.10.2. Products/Services Offerings
          • 6.4.10.3. Financial Analysis
          • 6.4.10.4. SWOT Analysis
    • 7. Global Automotive 3D Scanning LIDAR Sensors Sale, by Type, Application, Range and Image Projection (value, volume and price ) (2022-2027)
      • 7.1. Introduction
      • 7.2. Global Automotive 3D Scanning LIDAR Sensors (Value)
        • 7.2.1. Global Automotive 3D Scanning LIDAR Sensors by: Type (Value)
          • 7.2.1.1. IC Engine Vehicles
          • 7.2.1.2. Hybrid Electric Vehicles (HEVs)
          • 7.2.1.3. Plug-in Hybrid Electric Vehicles (PHEVs)
          • 7.2.1.4. Battery Electric Vehicles (BEVs)
        • 7.2.2. Global Automotive 3D Scanning LIDAR Sensors by: Application (Value)
          • 7.2.2.1. Semi-autonomous
          • 7.2.2.2. Autonomous
        • 7.2.3. Global Automotive 3D Scanning LIDAR Sensors by: Range (Value)
          • 7.2.3.1. Short & Mid-range Automotive Lidar
          • 7.2.3.2. Long range Automotive Lidar
        • 7.2.4. Global Automotive 3D Scanning LIDAR Sensors by: Image Projection (Value)
          • 7.2.4.1. 2D Automotive LiDAR
          • 7.2.4.2. 3D Automotive LiDAR
          • 7.2.4.3. Others
      • 7.3. Global Automotive 3D Scanning LIDAR Sensors (Volume)
        • 7.3.1. Global Automotive 3D Scanning LIDAR Sensors by: Type (Volume)
          • 7.3.1.1. IC Engine Vehicles
          • 7.3.1.2. Hybrid Electric Vehicles (HEVs)
          • 7.3.1.3. Plug-in Hybrid Electric Vehicles (PHEVs)
          • 7.3.1.4. Battery Electric Vehicles (BEVs)
        • 7.3.2. Global Automotive 3D Scanning LIDAR Sensors by: Application (Volume)
          • 7.3.2.1. Semi-autonomous
          • 7.3.2.2. Autonomous
        • 7.3.3. Global Automotive 3D Scanning LIDAR Sensors by: Range (Volume)
          • 7.3.3.1. Short & Mid-range Automotive Lidar
          • 7.3.3.2. Long range Automotive Lidar
        • 7.3.4. Global Automotive 3D Scanning LIDAR Sensors by: Image Projection (Volume)
          • 7.3.4.1. 2D Automotive LiDAR
          • 7.3.4.2. 3D Automotive LiDAR
          • 7.3.4.3. Others
      • 7.4. Global Automotive 3D Scanning LIDAR Sensors (Price)
        • 7.4.1. Global Automotive 3D Scanning LIDAR Sensors by: Type (Price)
    • 8. Appendix
      • 8.1. Acronyms
    • 9. Methodology and Data Source
      • 9.1. Methodology/Research Approach
        • 9.1.1. Research Programs/Design
        • 9.1.2. Market Size Estimation
        • 9.1.3. Market Breakdown and Data Triangulation
      • 9.2. Data Source
        • 9.2.1. Secondary Sources
        • 9.2.2. Primary Sources
      • 9.3. Disclaimer
    List of Tables
    • Table 1. Automotive 3D Scanning LIDAR Sensors: by Type(USD Million)
    • Table 2. Automotive 3D Scanning LIDAR Sensors: by Application(USD Million)
    • Table 3. Automotive 3D Scanning LIDAR Sensors: by Range(USD Million)
    • Table 4. Automotive 3D Scanning LIDAR Sensors: by Image Projection(USD Million)
    • Table 5. Automotive 3D Scanning LIDAR Sensors Sales: by Type(N)
    • Table 6. Automotive 3D Scanning LIDAR Sensors Sales: by Application(N)
    • Table 7. Automotive 3D Scanning LIDAR Sensors Sales: by Range(N)
    • Table 8. Automotive 3D Scanning LIDAR Sensors Sales: by Image Projection(N)
    • Table 9. Automotive 3D Scanning LIDAR Sensors: by Type(USD/Units)
    • Table 10. Company Basic Information, Sales Area and Its Competitors
    • Table 11. Company Basic Information, Sales Area and Its Competitors
    • Table 12. Company Basic Information, Sales Area and Its Competitors
    • Table 13. Company Basic Information, Sales Area and Its Competitors
    • Table 14. Company Basic Information, Sales Area and Its Competitors
    • Table 15. Company Basic Information, Sales Area and Its Competitors
    • Table 16. Company Basic Information, Sales Area and Its Competitors
    • Table 17. Company Basic Information, Sales Area and Its Competitors
    • Table 18. Company Basic Information, Sales Area and Its Competitors
    • Table 19. Company Basic Information, Sales Area and Its Competitors
    • Table 20. Automotive 3D Scanning LIDAR Sensors: by Type(USD Million)
    • Table 21. Automotive 3D Scanning LIDAR Sensors: by Application(USD Million)
    • Table 22. Automotive 3D Scanning LIDAR Sensors: by Range(USD Million)
    • Table 23. Automotive 3D Scanning LIDAR Sensors: by Image Projection(USD Million)
    • Table 24. Automotive 3D Scanning LIDAR Sensors Sales: by Type(N)
    • Table 25. Automotive 3D Scanning LIDAR Sensors Sales: by Application(N)
    • Table 26. Automotive 3D Scanning LIDAR Sensors Sales: by Range(N)
    • Table 27. Automotive 3D Scanning LIDAR Sensors Sales: by Image Projection(N)
    • Table 28. Automotive 3D Scanning LIDAR Sensors: by Type(USD/Units)
    • Table 29. Research Programs/Design for This Report
    • Table 30. Key Data Information from Secondary Sources
    • Table 31. Key Data Information from Primary Sources
    List of Figures
    • Figure 1. Porters Five Forces
    • Figure 2. Supply/Value Chain
    • Figure 3. PESTEL analysis
    • Figure 4. Global Automotive 3D Scanning LIDAR Sensors: by Type USD Million (2016-2021)
    • Figure 5. Global Automotive 3D Scanning LIDAR Sensors: by Application USD Million (2016-2021)
    • Figure 6. Global Automotive 3D Scanning LIDAR Sensors: by Range USD Million (2016-2021)
    • Figure 7. Global Automotive 3D Scanning LIDAR Sensors: by Image Projection USD Million (2016-2021)
    • Figure 8. Global Automotive 3D Scanning LIDAR Sensors: by Type N (2016-2021)
    • Figure 9. Global Automotive 3D Scanning LIDAR Sensors: by Application N (2016-2021)
    • Figure 10. Global Automotive 3D Scanning LIDAR Sensors: by Range N (2016-2021)
    • Figure 11. Global Automotive 3D Scanning LIDAR Sensors: by Image Projection N (2016-2021)
    • Figure 12. Global Automotive 3D Scanning LIDAR Sensors: by Type USD/Units (2016-2021)
    • Figure 13. Global Automotive 3D Scanning LIDAR Sensors share by Players 2021 (%)
    • Figure 14. Global Automotive 3D Scanning LIDAR Sensors share by Players (Top 3) 2021(%)
    • Figure 15. Global Automotive 3D Scanning LIDAR Sensors share by Players (Top 5) 2021(%)
    • Figure 16. BCG Matrix for key Companies
    • Figure 17. Hexagon AB (Sweden) Revenue, Net Income and Gross profit
    • Figure 18. Hexagon AB (Sweden) Revenue: by Geography 2021
    • Figure 19. Velodyne Lidar Inc. (United States) Revenue, Net Income and Gross profit
    • Figure 20. Velodyne Lidar Inc. (United States) Revenue: by Geography 2021
    • Figure 21. Sick AG. (Germany) Revenue, Net Income and Gross profit
    • Figure 22. Sick AG. (Germany) Revenue: by Geography 2021
    • Figure 23. Topcon Positioning Systems, Inc. (United States) Revenue, Net Income and Gross profit
    • Figure 24. Topcon Positioning Systems, Inc. (United States) Revenue: by Geography 2021
    • Figure 25. Trimble Inc. Geospatial (United States) Revenue, Net Income and Gross profit
    • Figure 26. Trimble Inc. Geospatial (United States) Revenue: by Geography 2021
    • Figure 27. RIEGL Laser Measurement Systems GmbH (Austria) Revenue, Net Income and Gross profit
    • Figure 28. RIEGL Laser Measurement Systems GmbH (Austria) Revenue: by Geography 2021
    • Figure 29. Teledyne Optech (Canada) Revenue, Net Income and Gross profit
    • Figure 30. Teledyne Optech (Canada) Revenue: by Geography 2021
    • Figure 31. Leosphere (France) Revenue, Net Income and Gross profit
    • Figure 32. Leosphere (France) Revenue: by Geography 2021
    • Figure 33. Waymo LLC (United States Revenue, Net Income and Gross profit
    • Figure 34. Waymo LLC (United States Revenue: by Geography 2021
    • Figure 35. Valeo S.A. (France) Revenue, Net Income and Gross profit
    • Figure 36. Valeo S.A. (France) Revenue: by Geography 2021
    • Figure 37. Global Automotive 3D Scanning LIDAR Sensors: by Type USD Million (2022-2027)
    • Figure 38. Global Automotive 3D Scanning LIDAR Sensors: by Application USD Million (2022-2027)
    • Figure 39. Global Automotive 3D Scanning LIDAR Sensors: by Range USD Million (2022-2027)
    • Figure 40. Global Automotive 3D Scanning LIDAR Sensors: by Image Projection USD Million (2022-2027)
    • Figure 41. Global Automotive 3D Scanning LIDAR Sensors: by Type N (2022-2027)
    • Figure 42. Global Automotive 3D Scanning LIDAR Sensors: by Application N (2022-2027)
    • Figure 43. Global Automotive 3D Scanning LIDAR Sensors: by Range N (2022-2027)
    • Figure 44. Global Automotive 3D Scanning LIDAR Sensors: by Image Projection N (2022-2027)
    • Figure 45. Global Automotive 3D Scanning LIDAR Sensors: by Type USD/Units (2022-2027)
    List of companies from research coverage that are profiled in the study
    • Hexagon AB (Sweden)
    • Velodyne Lidar Inc. (United States)
    • Sick AG. (Germany)
    • Topcon Positioning Systems, Inc. (United States)
    • Trimble Inc. Geospatial (United States)
    • RIEGL Laser Measurement Systems GmbH (Austria)
    • Teledyne Optech (Canada)
    • Leosphere (France)
    • Waymo LLC (United States
    • Valeo S.A. (France)
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    Frequently Asked Questions (FAQ):

    The Global Automotive 3D Scanning LIDAR Sensors market is predicted to grow at a CAGR of % between 2021 - 2027.
    Global Automotive 3D Scanning LIDAR Sensors market is restrained by High cost of the 3D laser scanning camera and Low Level of Maturity of Automotive 3d Scanning Lidar Sensors are some of the Major Obstacles for the Market.
    The Automotive 3D Scanning LIDAR Sensors market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get complete companies available in our research coverage.

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