Autonomous Driving LiDAR Market

2018 to 2030

Edition 2018

Global Study – Autonomous Driving LiDAR Market – Analysis, Estimation, and Forecast: Expected Commercialization and High Volume Deployment of Mechanical Scanning, Solid-State, OPA, MEMS, Flash LiDAR Technologies, by Levels of Automation in OEM Vehicles and Robotaxis & Autonomous Shuttles

LiDAR technology to be commercialized for autonomous driving from 2019, where as high volume production and mass deployment is expected from 2021

LiDAR sales for autonomous driving will cross million unit mark by 2022 and by 2030, estimated to reach 24 million in sales. 

LiDAR one of the key technology enablers of autonomous driving is gaining huge interest from players across the automotive ecosystem. In the last 36 months, the industry has witnessed acceleration in development strategies in form of technological advancements, mergers and acquisitions, partnerships and collaborations. All of the strategic developments by different players across the industry supply-chain ensure they are not let behind in the race to develop and deploy driverless or autonomous cars. The scale of some of these transactions underlines the seriousness with which all stakeholders are approaching the LiDAR technology.

M14 Intelligence’s Emerging Automotive Technology Division has answered the most compelling questions that the LiDAR technology developers are looking for –

  1. What is the status of vehicle automation in 2017 and 2018? And how will it change over the period of next 10 years?
  2. How is the emerging trend of robotaxis and autonomous shuttles disrupting the conventional automotive supply chain? and how LiDAR as a market will grow with this trend?
  3. Many LiDAR technologies – But which ones will lead and be ready for mass deployment?
  4. Which are the few combinations of OEMs with Tier 1s and LiDAR technology provider or OEMs with Shared Mobility Service providers and LiDAR technology providers will be the first to achieve mass deployment?
  5. What will be the target cost of LiDAR at high volumes?
  6. What is the requirement of number of LiDARs to achieve 360 degree surround view of the vehicle – for OEMs, Robotaxis, and Autonomous Shuttles?
  7. When and which LiDAR technologies will hit high volume production?
  8. Who will be the leaders in the automotive LiDAR market?
  9. How is the current partnerships between OEMs, Tier 1s, Ride Sharing Service Providers, Autonomous Shuttle companies, and LiDAR technology providers is shaping the market?
  10. When will solid-state and other cheaper LiDAR options witness high volume deployment?

The report focuses on the below broader sections of the market –

  • 1. CHANGING DYNAMICS OF THE AUTO INDUSTRY & ITS IMPACT ON TRENDS OF LIDAR TECHNOLOGY ADOPTION

    • Advanced driver assistance solutions to fully autonomous vehicle technology adoption trends in next 15 – 20 years
    • Benefits and challenges of using LiDAR technology in sensor fusion system
    • Impact of mobility-as-a-service, electrification, and autonomous driving altogether on LiDAR market
    • Regulations and its impact on ADAS & autonomous driving and consequently on the LiDAR technology adoption, by country level assessment
    • Two evident trends – conventional OEM model and robotic cars & shuttles model. How both these trends will shape the LiDAR market
    • Comparison of various LiDAR sensing technologies by emerging & leading companies.
    • LiDAR technologies – which ones will lead the market?
    • LiDAR illumination technology trends
    • Sensor fusion technology trends and impact of other sensing technologies such as camera, radar, and ultrasonic sensors
    • Impact of LiDAR + Artificial Intelligence (AI) on the autonomous driving space
    • Customers perspective on autonomous driving
    • Changing trends in LiDAR pricing with mass production
  • 2. INCREASING COMPETITION IN THE MARKET

    • Requirements and expectations of the OEMs and Tier 1s from the LiDAR companies
    • Requirements and expectations of the shuttle companies, shared mobility services companies, and tech-giants
    • Strategic partnerships between OEMs and Tier 1s and LiDAR technology suppliers along with illumination technology providers
    • LiDAR technology provider’s competition assessment on the basis of technology and partnerships with OEMs and Tier 1s
    • Company profiles of 30 Tier 1s, Tier 2s, and LiDAR companies
  • 3. SALES AND REVENUE STATISTICS - HISTORIC YEARS (2015 – 2017), BASE YEARS (2018), AND FORECAST (2019 – 2030)

    • Passenger and commercial vehicles sales stats, across regions and major markets
    • Robo-taxis and autonomous shuttles sales trends
    • ADAS (Level 1) to fully autonomous vehicles sales stats, across regions and major markets
    • ADAS and autonomous driving technology adoption rate, across regions and major markets
    • LiDAR adoption rate, sales stats, market size, and pricing trends, across different levels of automation, technology type, regions and major markets

Report Highlights

Pages Analysis:

200+
Companies Analysed:

150+
Data Tables:

100+
Infograhs:

50+
Exclusive Interviews:

30+
Companies Profiled:

30+
Market Segmentation:

4 Level
Regions Analyzed:

3+
Countries Analysis:

5+

Quick Access

LiDAR Manufacturers Advanced Scientific Concept (acquired by Continental), AEye, Baraja, Benewake, Blackmore Sensors and Analytics, Cepton Technologie, Genius Pros, Hesai, Ibeo Automotive System, Innoviz technologies, Innovusion, LeddarTech, LeiShen Intellignet systems, Luminar, Neptec Technologies, Oryx Vision, Ouster, Panasonic, Pioneer, Princeton Lightwave (now Argo AI), Quanergy System, RoboSense, Sense Photonics, Strobe Inc (GM Cruise), SureStar, TetraVue, Velodyne LiDAR, JSLiDAR, Aeva, Mirada Technologies Inc., Lumotive, SOS LAB Co., Ltd., LIVOX, and XenomatiX
Component Suppliers Alluxa, AMS, Asia Optical, Dibotics, Discovery Semiconductors Inc, ESPROS Photonics Corporation, Excelitas Technologies, Finisar, Hamamatsu Photonics, II-VI, Innoluce, Inomize, Lasertel, Micro Photon Devices, Omron, O-net, Osram, Phantom Intelligence, Philips Photonics, Princeton Optroelectronics, Quantum Semiconductor International, Renesas, SemiNex Corporation, SensL, SICK AG, SpectroLab, Texas Instruments, Thor Labs, TriLumina, Ushio, Vescent Photonics, and Viavi
OEMs/Robotaxi/Autonomous Shuttle Companies Auro Robotics, Baidu, BMW, Daimler, DiDi,  EasyMile, FAW, FCA, Fisker, Ford, Geely, GM, Honda, Hyundai, Local Motors, Lyft, May Mobility, Mercedes Benz, Navya, Nissan, Otto Motors, PSA, Renault, SAIC, SB Drive, Toyota, Uber, UMS, Volkswagen, Volvo, Waymo, Yandex
Tier 1s/2s and Technology Providers Aurora, Autoliv, Bosch, Continental, Cruise Automation, Delphi (Aptiv), Denso, First Sensor, HiRain Technologies, Integrated Device Technology, Koito, Magna International, Magneti Marelli, Nvidia, On Semiconductor, Renesas Electronics, Sensata Technologies, Valeo, and ZF

LiDAR Technologies Analyzed

  1. Mechanical scanning LiDAR
    1. Pulsed multi-channel macro mechanical scanning LiDAR
    2. Other mechanical scanning
  2. Non-mechanical scanning/Solid-state LiDAR
    1. MEMS Solid State LiDAR (two subtypes are – Pulsed and Phased shift)
    2. Flash LiDAR (two subtypes are – Pulsed and Frequency Modulated Continuous Wave (FMCW))
    3. Optical Phased array LiDAR (two subtypes are – Pulsed and Frequency Modulated Continuous Wave (FMCW))

Few newer technologies identified during the course of the research are Image Grade LiDAR and Spectrum Scan LiDAR.

LiDAR Range

  1. Medium and Short Range
  2. Long Range

LiDAR Application

  1. OEM Vehicles
  2. Robotaxis and Autonomous Shuttles

LiDAR by Levels of Automation

  1. Level 3
  2. Level 4 and Level 5

The report is a comprehensive, 360 degree look at the automotive LiDAR market with reference to ADAS, autonomous driving, electric vehicles, and shared mobility services. This research study is an outcome of 6 months of desk research which includes extensive use of secondary research directories and databases. By interviewing the marketplace and leveraging M14 Automotive Intelligence experience as a global thought leader in automotive industry and skills in forecasting and analysis, we are confident that we have constructed the most comprehensive and insightful research study on automotive LiDAR available in the market. The research methodology adopted for the study is based on the following outlined building blocks.

Environment Analysis

This stage of research focuses on understanding, analyzing, and shortlisting leading players operating in the automotive LiDAR market – OEMs, ride sharing service providers, autonomous shuttle companies, robotaxis companies, Tier 1 Suppliers, Tier 2 Suppliers, LiDAR technology solution providers, LiDAR illumination technology providers and other Technology Providers (14 – OEMS and ~100 Technology Providers Analyzed). The organic and inorganic growth strategies adopted by these players across the value chain are analyzed, which are product developments and launches, strategic partnerships, expansions, and mergers & acquisitions. This stage also includes the analysis of regulatory frameworks in place, safety ratings, and market readiness in different countries across all the major geographies

Supply and Demand Analysis

This stage of research focuses on identifying historical PC sales trend and estimating the future trend of sales demand. The supply and demand of LiDAR technology used in the autonomous vehicle and the timeline of the launch of products and services are also analyzed in this phase of the research.

Technological Analysis

Examining the different technological features and building blocks of autonomous driving solutions available or tested in the market is done in this phase of the research. The technology cost and sales model with the market impact is also critically analyzed in the technological analysis phase of the research.

Estimation and Forecast

With all sales data, adoption rates, market penetration rates, market trends, factors and future impacts available, the estimation and forecasting on this available data is conducted using proprietary trend tracking model.

Validating and Precision Making

The validation of our research study and sourcing other related information is done by interviewing industry experts and company insiders along with the industry stakeholders. The information and data points sourced through interview process is approximately 40% of the total research process.

LiDAR Ecosystem
LiDAR Manufacturers Advanced Scientific Concept (acquired by Continental), AEye, Baraja, Benewake, Blackmore Sensors and Analytics, Cepton Technologie, Genius Pros, Hesai, Ibeo Automotive System, Innoviz technologies, Innovusion, LeddarTech, LeiShen Intellignet systems, Luminar, Neptec Technologies, Oryx Vision, Ouster, Panasonic, Pioneer, Princeton Lightwave (now Argo AI), Quanergy System, RoboSense, Sense Photonics, Strobe Inc (GM Cruise), SureStar, TetraVue, Velodyne LiDAR, JSLiDAR, Aeva, Mirada Technologies Inc., Lumotive, SOS LAB Co., Ltd., LIVOX, and XenomatiX
Component Suppliers Alluxa, AMS, Asia Optical, Dibotics, Discovery Semiconductors Inc, ESPROS Photonics Corporation, Excelitas Technologies, Finisar, Hamamatsu Photonics, II-VI, Innoluce, Inomize, Lasertel, Micro Photon Devices, Omron, O-net, Osram, Phantom Intelligence, Philips Photonics, Princeton Optroelectronics, Quantum Semiconductor International, Renesas, SemiNex Corporation, SensL, SICK AG, SpectroLab, Texas Instruments, Thor Labs, TriLumina, Ushio, Vescent Photonics, and Viavi
OEMs/Robotaxi/Autonomous Shuttle Companies Auro Robotics, Baidu, BMW, Daimler, DiDi,  EasyMile, FAW, FCA, Fisker, Ford, Geely, GM, Honda, Hyundai, Local Motors, Lyft, May Mobility, Mercedes Benz, Navya, Nissan, Otto Motors, PSA, Renault, SAIC, SB Drive, Toyota, Uber, UMS, Volkswagen, Volvo, Waymo, Yandex
Tier 1s/2s and Technology Providers Aurora, Autoliv, Bosch, Continental, Cruise Automation, Delphi (Aptiv), Denso, First Sensor, HiRain Technologies, Integrated Device Technology, Koito, Magna International, Magneti Marelli, Nvidia, On Semiconductor, Renesas Electronics, Sensata Technologies, Valeo, and ZF
Scope and Coverage

LiDAR Technologies Analyzed

  1. Mechanical scanning LiDAR
    1. Pulsed multi-channel macro mechanical scanning LiDAR
    2. Other mechanical scanning
  2. Non-mechanical scanning/Solid-state LiDAR
    1. MEMS Solid State LiDAR (two subtypes are – Pulsed and Phased shift)
    2. Flash LiDAR (two subtypes are – Pulsed and Frequency Modulated Continuous Wave (FMCW))
    3. Optical Phased array LiDAR (two subtypes are – Pulsed and Frequency Modulated Continuous Wave (FMCW))

Few newer technologies identified during the course of the research are Image Grade LiDAR and Spectrum Scan LiDAR.

LiDAR Range

  1. Medium and Short Range
  2. Long Range

LiDAR Application

  1. OEM Vehicles
  2. Robotaxis and Autonomous Shuttles

LiDAR by Levels of Automation

  1. Level 3
  2. Level 4 and Level 5
Research Methodology

The report is a comprehensive, 360 degree look at the automotive LiDAR market with reference to ADAS, autonomous driving, electric vehicles, and shared mobility services. This research study is an outcome of 6 months of desk research which includes extensive use of secondary research directories and databases. By interviewing the marketplace and leveraging M14 Automotive Intelligence experience as a global thought leader in automotive industry and skills in forecasting and analysis, we are confident that we have constructed the most comprehensive and insightful research study on automotive LiDAR available in the market. The research methodology adopted for the study is based on the following outlined building blocks.

Environment Analysis

This stage of research focuses on understanding, analyzing, and shortlisting leading players operating in the automotive LiDAR market – OEMs, ride sharing service providers, autonomous shuttle companies, robotaxis companies, Tier 1 Suppliers, Tier 2 Suppliers, LiDAR technology solution providers, LiDAR illumination technology providers and other Technology Providers (14 – OEMS and ~100 Technology Providers Analyzed). The organic and inorganic growth strategies adopted by these players across the value chain are analyzed, which are product developments and launches, strategic partnerships, expansions, and mergers & acquisitions. This stage also includes the analysis of regulatory frameworks in place, safety ratings, and market readiness in different countries across all the major geographies

Supply and Demand Analysis

This stage of research focuses on identifying historical PC sales trend and estimating the future trend of sales demand. The supply and demand of LiDAR technology used in the autonomous vehicle and the timeline of the launch of products and services are also analyzed in this phase of the research.

Technological Analysis

Examining the different technological features and building blocks of autonomous driving solutions available or tested in the market is done in this phase of the research. The technology cost and sales model with the market impact is also critically analyzed in the technological analysis phase of the research.

Estimation and Forecast

With all sales data, adoption rates, market penetration rates, market trends, factors and future impacts available, the estimation and forecasting on this available data is conducted using proprietary trend tracking model.

Validating and Precision Making

The validation of our research study and sourcing other related information is done by interviewing industry experts and company insiders along with the industry stakeholders. The information and data points sourced through interview process is approximately 40% of the total research process.

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