+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

Sensor Market for Automated Vehicles by Component (Hardware, Software), Offering, Software, Level of Autonomy (L2+, L3, L4), Propulsion (ICE, Electric), Vehicle Type, Sensor Platform Approach, Sensor Fusion Process and Region - Global Forecast to 2030

  • PDF Icon

    Report

  • 288 Pages
  • March 2023
  • Region: Global
  • Markets and Markets
  • ID: 5767858

Growing Penetration of ADAS Safety Features

The Sensor Market for automated vehicles is projected to grow from USD 0.4 Billion in 2022 to USD 19.1 Billion by 2030, registering a CAGR of 62.6%. The growing demand of safer, efficient and fuel efficient vehicles have accelerated the growth of sensor market for automated vehicles. With the rapid setup of connected vehicle infrastructure worldwide, demand for automated vehicles such as passenger cars and commercial vehicles is also expected to increase. Technological breakthroughs in ADAS components and other automated driving technologies have made it possible to have safer and more convenient mode of transportation. The sensor market for automated vehicles is dominated by established players such as Robert Bosch GmbH (Germany), Continental AG (Germany), ZF Friedrichshafen AG (Germany), DENSO (Japan), and NXP Semiconductors (Netherlands), among others These players have worked on providing hardware and software components for autonomous vehicle ecosystem. They have initiated partnerships to develop their technology and provide best-in-class products to their customers.

Passenger Cars to be the largest segment in market during the forecast period

The passenger cars segment is estimated to lead the market during the forecast period due to the higher profitability of using L3 and L4 technology in luxury-segment passenger vehicles in the initial years of autonomous vehicle technology development. The demand for autonomy in commercial vehicles is also expected to grow rapidly in the coming years, with an increasing demand for road safety and regulations by countries to prevent accidents from commercial vehicles. Autonomy in the commercial vehicle segment can be seen post-2024, mainly in Europe and North America. Companies such as Stellantis are planning to launch autonomous vans in 2024. Bus manufacturers are already working on autonomous shuttles across Europe.

However, trucks are expected to skip L3 and go straight for L4 autonomous driving, as mentioned by leading players such as Daimler and Volvo. Several automakers, such as Nissan, Tesla, BMW, Mercedes-Benz, Hyundai, and Audi, have already started the development of advanced autonomous applications for their passenger cars. For instance, in December 2021, Mercedes-Benz started offering automated driving technology called DRIVE PILOT in its EQS models in the first half of 2022 and on its S Class Model in select countries. The OEM claimed that these cars can commute at a speed of 60 kmph in heavy traffic or congested situations or stretches. Similarly, Hyundai Group announced its plan to launch two passenger car models with L3 autonomy level. Hyundai Motor’s Genesis G90 sedan and Kia’s EV9 will be launched with an L3 autonomy level in 2023.

Mid-level Fusion to lead demand for sensor market for automated vehicles during the forecast period

Mid-level fusion segment is expected to grow at the highest rate during the forecast period. The rise in traffic congestion, the development of roadway infrastructure, and the increasing government regulations for vehicle safety have resulted in the increased installation of sensors and sensing fusion platforms in vehicles by OEMs. In addition, the increasing focus by urban municipal authorities to develop intelligent transportation systems where vehicles are more connected will be a major boost in the development of real-time safety features. Mid-level sensor fusion in autonomous vehicles refers to the integration of multiple sensors and algorithms that aim to provide a comprehensive and accurate understanding of the vehicle's surroundings. This includes data from cameras, LiDAR, radars, GPS, and other sensors, which are then processed and combined to produce a high-fidelity representation of the environment.

The mid-level sensor fusion platform acts as an intermediary between the low-level sensor data and high-level decision-making systems in autonomous vehicles. Mid-level sensor fusion systems enable AVs to better detect and track objects, such as other vehicles, pedestrians, and road signs, thereby improving the overall safety of the autonomous system. By fusing data from multiple sensors, mid-level sensor fusion also provides a more complete picture of the environment, allowing AVs to make better decisions and improve situational awareness. They also reduce the potential for errors and improve the reliability of the autonomous system, making them less likely to fail in challenging situations. By processing sensor data in real time, mid-level sensor fusion also reduces the latency between detecting an object and responding to it, allowing AVs to react more quickly to changing road conditions. Companies such as AEye, AutonomouStuff, Continental AG, and DENSO offer mid-level fusion technologies for autonomous vehicle applications.

In-depth interviews were conducted with CEOs, marketing directors, other innovation and technology directors, and executives from various key organizations operating in this market.

  • By Respondent Type: Tier I - 67%, Tier II and Tier III - 9%, and OEMs - 24%
  • By Designation: CXOs - 33%, Managers - 52%, Executives - 15%
  • By Region: North America - 26%, Europe - 30%, Asia Pacific - 35%, Rest of the World - 9%

The sensor market for automated vehicles is dominated by established players such as Robert Bosch GmbH (Germany), Continental AG (Germany), ZF Friedrichshafen AG (Germany), DENSO (Japan), and NXP Semiconductors (Netherlands), among others. They have worked on providing offerings for the sensor market for automated vehicles ecosystem. They have initiated partnerships to develop their automated driving technologies and offer best-in-class products to their customers.

Research Coverage:

The report covers the sensor market for automated vehicles based on component, offering, software, propulsion, level of autonomy, vehicle type, sensor platform approach, sensor fusion process, and region (North America, Europe, Asia-Pacific and Rest of the World). It covers the competitive landscape and company profiles of the major players in the sensor market for automated vehicles ecosystem.

The study also includes an in-depth competitive analysis of the key market players, their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Key Benefits of Buying the Report:

  • This report will help market leaders/new entrants in this market with information on the closest approximations of revenue numbers for the overall sensor market for automated vehicles ecosystem and its subsegments. 
  • This report will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and plan suitable go-to-market strategies. 
  • This report will also help stakeholders understand the market’s pulse and provide information on key market drivers, restraints, challenges, and opportunities.

Table of Contents

1 Introduction
1.1 Study Objectives
1.2 Market Definition
Table 1 Market Definition: Sensors Market for Autonomous Vehicles, by Component
Table 2 Market Definition: Sensors Market for Autonomous Vehicles, by Offering
Table 3 Market Definition: Sensors Market for Autonomous Vehicles, by Software
Table 4 Market Definition: Sensors Market for Autonomous Vehicles, by Level of Autonomy
Table 5 Market Definition: Sensors Market for Autonomous Vehicles, by Propulsion
Table 6 Market Definition: Sensors Market for Autonomous Vehicles, by Vehicle Type
Table 7 Market Definition: Sensors Market for Autonomous Vehicles, by Sensor Platform Approach
Table 8 Market Definition: Sensors Market for Autonomous Vehicles, by Sensor Fusion Process
1.2.1 Inclusions and Exclusions
Table 9 Inclusions and Exclusions
1.3 Market Scope
Figure 1 Markets Covered
1.3.1 Regions Covered
1.3.2 Years Considered
1.4 Currency Considered
Table 10 Currency Exchange Rates
1.5 Stakeholders

2 Research Methodology
2.1 Research Data
Figure 2 Sensors Market for Autonomous Vehicles: Research Design
Figure 3 Research Design Model
2.1.1 Secondary Data
2.1.1.1 Key Secondary Sources
2.1.1.2 Key Data from Secondary Sources
2.1.2 Primary Data
2.1.2.1 Primary Interviews from Demand and Supply Sides
2.1.2.2 Key Industry Insights and Breakdown of Primary Interviews
Figure 4 Key Industry Insights
Figure 5 Breakdown of Primary Interviews
2.1.2.3 List of Primary Participants
2.2 Market Size Estimation
Figure 6 Research Methodology: Hypothesis Building
2.2.1 Bottom-Up Approach
Figure 7 Bottom-Up Approach
2.2.2 Top-Down Approach
Figure 8 Top-Down Approach
Figure 9 Sensors Market for Autonomous Vehicles: Research Design & Methodology
2.2.3 Recession Impact Analysis
2.3 Data Triangulation
Figure 10 Data Triangulation Methodology
Figure 11 Market Growth Projections from Demand-Side Drivers and Opportunities
2.4 Factor Analysis
2.4.1 Factor Analysis for Market Sizing: Demand and Supply Sides
2.5 Research Assumptions
2.6 Research Limitations

3 Executive Summary
Figure 12 Sensors Market for Autonomous Vehicles: Market Overview
Figure 13 Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (Thousand Units)
Figure 14 Sensors Market for Autonomous Vehicles: Ongoing Market Trends
Figure 15 Sensors Market for Autonomous Vehicles, by Hardware, 2022-2030

4 Premium Insights
4.1 Attractive Opportunities for Players in Sensors Market for Autonomous Vehicles
Figure 16 Increasing Focus on Safer Vehicles and Advancements in Vehicle Technology to Drive Market
4.2 Sensors Market for Autonomous Vehicles, by Component
Figure 17 Software Segment to Register Higher CAGR Than Hardware Segment During Forecast Period
4.3 Sensors Market for Autonomous Vehicles, by Offering
Figure 18 Radar Sensors Segment to Lead Market During Forecast Period
4.4 Sensors Market for Autonomous Vehicles, by Software
Figure 19 Middleware Segment to Grow at Highest Rate During Forecast Period
4.5 Sensors Market for Autonomous Vehicles, by Level of Autonomy
Figure 20 L3 Segment to Lead Market During Forecast Period
4.6 Sensors Market for Autonomous Vehicles, by Propulsion
Figure 21 Electric Segment to Grow at Higher Rate Than Ice Segment During Forecast Period
4.7 Sensors Market for Autonomous Vehicles, by Vehicle Type
Figure 22 Passenger Cars to Lead Market During Forecast Period
4.8 Sensors Market for Autonomous Vehicles, by Sensor Platform Approach
Figure 23 Mid-Level Fusion Segment to Register Highest Growth Rate During Forecast Period
4.9 Sensors Market for Autonomous Vehicles, by Sensor Fusion Process
Figure 24 Feature-Level Fusion Segment to Lead Market During Forecast Period
4.10 Sensors Market for Autonomous Vehicles, by Region
Figure 25 Europe Estimated to Account for Largest Market Share in 2022

5 Market Overview
5.1 Introduction
5.2 Market Dynamics
Figure 26 Sensors Market for Autonomous Vehicles: Market Dynamics
5.2.1 Drivers
5.2.1.1 Growing Penetration of Adas Safety Features
Table 11 Safety Features Under Development
Figure 27 Adas Feature Offering by Vehicle Hardware
5.2.1.2 Advancements in Automotive Sensor Technology
Figure 28 Vayyar 4D Imaging Radar System
5.2.1.3 Development of Autonomous Commercial Vehicles
Figure 29 Daimler L4 Truck Architecture
5.2.1.4 Government Initiatives for Road Safety
Table 12 Global Regulations and Initiatives for Driver Assistance Systems
5.2.2 Restraints
5.2.2.1 Lack of Standardization in Software Architecture/Hardware Platforms
Figure 30 Sensor Interface Standardization at Different Standardization Levels
5.2.2.2 Insufficient Infrastructure for Vehicle Connectivity
5.2.2.3 Increase in Cybersecurity Threats due to Advancements in Connectivity Technology
5.2.3 Opportunities
5.2.3.1 Growing Development in Autonomous Space
5.2.3.2 Rising Popularity of Electric Vehicles
Figure 31 Ev Sales (2010-2021)
5.2.3.3 Increasing Adoption of 5G and Connectivity
Figure 32 5G Network Services in Different Countries
5.2.4 Challenges
5.2.4.1 Security and Safety Concerns
5.2.4.2 Environmental Constraints in Using Lidar
5.2.4.3 Hard to Trade-Off Between Price and Overall Quality
5.2.5 Impact of Market Dynamics
5.3 Porter's Five Forces Analysis
Table 13 Porter's 5 Forces Impact on the Sensors Market for Autonomous Vehicles
Figure 33 Porter's Five Forces Analysis
5.3.1 Threat of New Entrants
5.3.2 Threat of Substitutes
5.3.3 Bargaining Power of Suppliers
5.3.4 Bargaining Power of Buyers
5.3.5 Intensity of Competitive Rivalry
5.4 Value Chain Analysis
5.4.1 Value Chain Analysis: Sensors Market for Autonomous Vehicles
5.5 Macroeconomic Indicators
5.5.1 Gdp Trends and Forecast for Major Economies
Table 14 Gdp Trends and Forecast, by Major Economies, 2018-2026 (USD Billion)
5.6 Pricing Analysis
Figure 34 Sensors Market for Autonomous Vehicles: Average Price of Adas Components
5.7 Sensors Market for Autonomous Vehicles Ecosystem
Figure 35 Sensors Market for Autonomous Vehicles: Ecosystem Analysis
5.7.1 Sensors
5.7.2 Processors
5.7.3 Software and Systems
5.7.4 Oems
Table 15 Sensors Market for Autonomous Vehicles: Role of Companies in Ecosystem
5.8 Key Stakeholders and Buying Criteria
5.8.1 Passenger Cars
5.8.2 Commercial Vehicles
5.8.3 Key Stakeholders in Buying Process
Figure 36 Influence of Stakeholders on Buying Process for Top 2 Applications
Table 16 Influence of Stakeholders on Buying Process for Top 2 Applications (%)
5.8.4 Buying Criteria
Figure 37 Key Buying Criteria for Top 2 Applications
5.9 Technology Analysis
5.9.1 Solid-State Lidar
5.9.2 Terrain Sensing System for Autonomous Vehicles
Figure 38 Terrain Sensing System in Jaguar Land Rover
5.9.3 V2X Connected Autonomous Vehicles
5.9.4 Automated Valet Parking (Avp)
5.9.5 Night Vision and Thermal Imaging
Table 17 Types of Night Vision/Thermal Imaging
5.10 Patent Analysis
Figure 39 Number of Published Patents (2012-2024)
Figure 40 Number of Documents
Table 18 Important Patent Registrations Related to Sensors Market for Autonomous Vehicles
5.11 Case Study Analysis
5.11.1 Case Study 1: Dataspeed Autonomous Vehicle Solution
5.11.2 Case Study 2: Renesas Boosts Deep Learning Development for Adas and Automated Driving Applications
5.11.3 Case Study 3: Developing Autonomous Driving for Global Oem
5.11.4 Case Study 4: Automated Parking for Stuttgart Airport
5.11.5 Case Study 5: Zf's New Ai-Based Service for Adas Development
5.11.6 Case Study 6: Open Autonomy Pilot for Us State
5.11.7 Case Study 7: Transportation for the Impaired
5.12 Regulatory Overview
5.12.1 Regulations on Autonomous Vehicles Usage by Country
5.12.2 List of Regulatory Bodies, Government Agencies, and Other Organizations
Table 19 North America: List of Regulatory Bodies, Government Agencies, and Other Organizations
Table 20 Europe: List of Regulatory Bodies, Government Agencies, and Other Organizations
Table 21 Asia-Pacific: List of Regulatory Bodies, Government Agencies, and Other Organizations
5.13 Trends/Disruptions Impacting Customer Business
Figure 41 Revenue Shift for Sensors Market for Autonomous Vehicles
5.14 Recession Impact
5.14.1 Introduction
5.14.2 Regional Macroeconomic Overview
5.14.3 Analysis of Key Economic Indicators
Table 22 Key Economic Indicators for Select Countries, 2021-2022
5.14.4 Economic Stagflation (Slowdown) Vs. Economic Recession
5.14.4.1 Europe
Table 23 Europe: Key Economic Indicators, 2021-2023
Table 24 Europe: Key Inflation Indicators, 2021-2023
5.14.4.2 Asia-Pacific
Table 25 Asia-Pacific: Key Economic Indicators, 2021-2023
Table 26 Asia-Pacific: Key Inflation Indicators, 2021-2023
5.14.4.3 Americas
Table 27 Americas: Key Economic Indicators, 2021-2023
Table 28 Americas: Key Inflation Indicators, 2021-2023
5.14.5 Economic Projections
Table 29 Gdp Growth Projections for Key Countries, 2024-2027 (% Growth)
5.15 Recession Impact on Automotive Sector
5.15.1 Analysis of Automotive Vehicle Sales
5.15.1.1 Europe
Table 30 Europe: Passenger Car and Light Commercial Vehicle Sales, by Country, 2021-2022
5.15.1.2 Asia-Pacific
Table 31 Asia-Pacific: Passenger Car and Light Commercial Vehicle Sales, by Country, 2021-2022
5.15.1.3 Americas
Table 32 Americas: Passenger Car and Light Commercial Vehicle Sales, by Country, 2021-2022
5.15.2 Automotive Sales Outlook
Table 33 Passenger Car and Light Commercial Vehicle Production Forecast, 2022 Vs. 2030 (Units)
5.16 Key Conferences and Events, 2022-2023
Table 34 Sensors Market for Autonomous Vehicles: List of Conferences and Events
5.17 Sensors Market for Autonomous Vehicles, Scenarios (2022-2030)
5.17.1 Most Likely Scenario
Figure 42 Sensors Market for Autonomous Vehicles - Future Trends & Scenario, 2022-2030 (Thousand Units)
Table 35 Sensors Market for Autonomous Vehicles (Most Likely), by Region, 2022-2030 (Thousand Units)
5.17.2 Optimistic Scenario
Table 36 Sensors Market for Autonomous Vehicles (Optimistic), by Region, 2022-2030 (Thousand Units)
5.17.3 Pessimistic Scenario
Table 37 Sensors Market for Autonomous Vehicles (Pessimistic), by Region, 2022-2030 (Thousand Units)

6 Sensors Market for Autonomous Vehicles, by Component
6.1 Introduction
Figure 43 Sensors Market for Autonomous Vehicles, by Component, 2022-2030
Table 38 Sensors Market for Autonomous Vehicles, by Component, 2022-2030 (USD Million)
6.1.1 Assumptions
6.1.2 Research Methodology
6.2 Hardware
6.2.1 Growing Demand for Adas Safety Systems to Drive Segment
Table 39 Top Hardware Providers, 2021
Table 40 Hardware: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (USD Million)
6.3 Software
6.3.1 Growing Demand for Autonomous Vehicle Platforms and Related Software to Drive Segment
Table 41 Software: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (USD Million)
6.4 Key Industry Insights

7 Sensors Market for Autonomous Vehicles, by Offering
7.1 Introduction
Figure 44 Sensors Market for Autonomous Vehicles, by Offering, 2022-2030
Table 42 Sensors Market for Autonomous Vehicles, by Offering, 2022-2030 (Thousand Units)
Table 43 Sensors Market for Autonomous Vehicles, by Offering, 2022-2030 (USD Million)
7.1.1 Assumptions
7.1.2 Research Methodology
7.2 Cameras
7.2.1 Growing Demand for Night Vision Systems and Intelligent Parking Systems to Increase Demand
Table 44 Cameras: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (Thousand Units)
Table 45 Cameras: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (USD Million)
7.3 Chips/Semiconductors (Ecu, Soc)
7.3.1 Growing Demand for Advanced Automotive Features to Drive Segment
Table 46 Chips/Semiconductors: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (Thousand Units)
Table 47 Chips/Semiconductors: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (USD Million)
7.4 Radar Sensors
7.4.1 Growing Development of Autonomous Technology to Increase Demand for Radar Systems in Vehicles
Table 48 Radar Sensors: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (Thousand Units)
Table 49 Radar Sensors: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (USD Million)
7.5 Lidar Sensors
7.5.1 Increasing Cost-Effectiveness of Lidar Systems to Increase Their Demand in Autonomous Vehicles
Table 50 Lidar Sensors: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (Thousand Units)
Table 51 Lidar Sensors: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (USD Million)
7.6 Others
Table 52 Others: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (Thousand Units)
Table 53 Others: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (USD Million)
7.7 Key Industry Insights

8 Sensors Market for Autonomous Vehicles, by Software
8.1 Introduction
Figure 45 Sensors Market for Autonomous Vehicles, by Software, 2022-2030 (USD Million)
Table 54 Sensors Market for Autonomous Vehicles, by Software, 2022-2030 (USD Million)
8.1.1 Assumptions
8.1.2 Research Methodology
8.2 Operating System
8.2.1 Need for Efficient Data Management to Increase Operating System Application in Autonomous Vehicles
Table 55 Operating System: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (USD Million)
8.3 Middleware
8.3.1 Increased Use of Sensor Fusion in Autonomous Vehicle Applications to Increase Middleware Use
Table 56 Middleware: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (USD Million)
8.4 Application Software
8.4.1 Growing Level of Automation to Increase Demand for Application Software
Table 57 Application Software: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (USD Million)
8.5 Key Industry Insights

9 Sensors Market for Autonomous Vehicles, by Level of Autonomy
9.1 Introduction
Figure 46 Sensors Market for Autonomous Vehicles, by Level of Autonomy, 2022-2030 (Thousand Units)
Table 58 Sensors Market for Autonomous Vehicles, by Level of Autonomy, 2022-2030 (Thousand Units)
9.1.1 Assumptions
9.1.2 Research Methodology
9.2 L3
9.2.1 Increasing Safety Mandates to Fuel Demand for L3 Autonomous Vehicles
Table 59 L3: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (Thousand Units)
9.3 L4
9.3.1 Growing Shift Toward Full Automation to Increase Demand for Sensors for L4 Autonomous Vehicles
Table 60 L4: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (Thousand Units)
9.4 L5
9.4.1 Demand for L5 Autonomy in Taxis and Passenger Vehicles to Drive Market
Table 61 L5: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (Thousand Units)
9.5 Key Industry Insights

10 Sensors Market for Autonomous Vehicles, by Propulsion
10.1 Introduction
Figure 47 Sensors Market for Autonomous Vehicles, by Propulsion, 2022-2030 (Thousand Units)
Table 62 Sensors Market for Autonomous Vehicles, by Propulsion, 2022-2030 (Thousand Units)
10.1.1 Assumptions
10.1.2 Research Methodology
10.2 Ice
10.2.1 Increasing Safety Regulations to Fuel Demand for Sensors in Ice Autonomous Vehicles
Table 63 Ice: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (Thousand Units)
10.3 Electric
10.3.1 Electrification Targets by Countries to Drive Oems Toward Developing L4 and Above Features Mainly for Evs
Table 64 Electric: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (Thousand Units)
10.4 Key Industry Insights

11 Sensors Market for Autonomous Vehicles, by Vehicle Type
11.1 Introduction
Figure 48 Sensors Market for Autonomous Vehicles, by Vehicle Type, 2022-2030 (Thousand Units)
Table 65 Sensors Market for Autonomous Vehicles, by Vehicle Type, 2022-2030 (Thousand Units)
11.1.1 Operational Data
Table 66 Upcoming and Operational Autonomous Car Models
11.1.2 Assumptions
11.1.3 Research Methodology
11.2 Passenger Cars
11.2.1 Mandates for Ldw, Dms, and Fcw Features to Increase Adas and Autonomous Vehicle Demand in Passenger Cars Segment
Table 67 Passenger Cars: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (Thousand Units)
11.3 Commercial Vehicles
11.3.1 Plans by Countries to Mandate Adas Features to Increase Demand for Autonomous Commercial Vehicles
Table 68 Commercial Vehicles: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (Thousand Units)
11.4 Key Industry Insights

12 Sensors Market for Autonomous Vehicles, by Sensor Platform Approach
12.1 Introduction
Figure 49 Applications of Different Sensor Fusion Levels
Figure 50 Sensors Market for Autonomous Vehicles, by Sensor Platform Approach, 2022-2030 (USD Million)
Table 69 Sensors Market for Autonomous Vehicles, by Sensor Platform Approach, 2022-2030 (USD Million)
Table 70 Sensor Fusion Level Comparison
12.1.1 Assumptions
Table 71 Assumptions: by Sensor Platform Approach
12.1.2 Research Methodology
12.2 Low-Level Fusion
12.2.1 Rapid Development of Advanced Sensors and Need for Accurate Object Detection to Drive Segment
Table 72 Low-Level Fusion: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (USD Million)
12.3 Mid-Level Fusion
12.3.1 Demand for Safety Features in Vehicles to Drive Segment
Table 73 Mid-Level Fusion: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (USD Million)
12.4 High-Level Fusion
12.4.1 Increasing Development of Basic Sensor Fusion in Automobiles to Drive Segment
Table 74 High-Level Fusion: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (USD Million)
12.5 Key Industry Insights

13 Sensors Market for Autonomous Vehicles, by Sensor Fusion Process
13.1 Introduction
Figure 51 Applications of Different Types of Sensor Fusion Processes in Vehicle
Figure 52 Sensors Market for Autonomous Vehicles, by Sensor Fusion Process, 2022-2030 (USD Million)
Table 75 Sensors Market for Autonomous Vehicles, by Sensor Fusion Process, 2022-2030 (USD Million)
13.1.1 Assumptions
Table 76 Assumptions: by Sensor Fusion Process
13.1.2 Research Methodology
13.2 Signal-Level Fusion
13.2.1 Development of New Sensors with Higher Accuracy and Lower Cost to Increase Demand for Signal-Level Sensor Fusion
Table 77 Signal-Level Fusion: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (USD Million)
13.3 Object-Level Fusion
13.3.1 Advancements in Ai Technologies to Drive Demand for Object-Level Sensor Fusion
Table 78 Object-Level Fusion: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (USD Million)
13.4 Feature-Level Fusion
13.4.1 Need for More Accurate and Reliable Data for Decision-Making in Complex and Dynamic Driving Environments to Drive Segment
Table 79 Feature Level Fusion: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (USD Million)
13.5 Decision-Level Fusion
13.5.1 Government Regulations for Safer Driving Systems and Increasing Demand for Autonomous Transportation to Drive Segment
Table 80 Decision-Level Fusion: Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (USD Million)
13.6 Key Industry Insights

14 Sensors Market for Autonomous Vehicles, by Region
14.1 Introduction
Table 81 Phases in Autonomous Vehicle Development and Impacts
Figure 53 Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (Thousand Units)
Table 82 Sensors Market for Autonomous Vehicles, by Region, 2022-2030 (Thousand Units)
14.2 Asia-Pacific
Figure 54 Asia-Pacific: Sensors Market for Autonomous Vehicles Snapshot
Table 83 Asia-Pacific: Sensors Market for Autonomous Vehicles, by Country, 2022-2030 (Thousand Units)
14.2.1 China
14.2.1.1 Increasing Deployment of Autonomous Vehicles for Testing by Ride-Hailing Aggregators to Increase Demand for Sensors
Table 84 Key Companies in Autonomous Vehicle Technology and Their Known Partners in China
Table 85 List of Key Start-Ups in China
Table 86 China: Sensors Market for Autonomous Vehicles, by Level of Autonomy, 2022-2030 (Thousand Units)
14.2.2 Japan
14.2.2.1 Government Initiatives for Road Safety and Push for Autonomous Vehicles to Drive Market
Table 87 List of Key Start-Ups in Japan
Table 88 Japan: Sensors Market for Autonomous Vehicles, by Level of Autonomy, 2022-2030 (Thousand Units)
14.2.3 South Korea
14.2.3.1 Government Focus on Autonomous Vehicle Deployment to Drive Market
Table 89 List of Key Start-Ups in South Korea
Table 90 South Korea: Sensors Market for Autonomous Vehicles, by Level of Autonomy, 2022-2030 (Thousand Units)
14.2.4 India
14.2.4.1 Increasing Prices of Petrol and Diesel to Drive Market
Table 91 List of Key Start-Ups in India
Table 92 India: Sensors Market for Autonomous Vehicles, by Level of Autonomy, 2022-2030 (Thousand Units)
14.3 Europe
Figure 55 Europe: Sensors Market for Autonomous Vehicles, by Country, 2022-2030 (Thousand Units)
Table 93 Europe: Sensors Market for Autonomous Vehicles, by Country, 2022-2030 (Thousand Units)
14.3.1 Germany
14.3.1.1 Strong Autonomous Vehicle Development Ecosystem to Drive Market
Table 94 Autonomous Vehicle Sensor and Sensing Platform Start-Ups in Germany
Table 95 Germany: Sensors Market for Autonomous Vehicles, by Level of Autonomy, 2022-2030 (Thousand Units)
14.3.2 France
14.3.2.1 Government Mandates for Road Safety to Increase Demand for Autonomous Vehicle Sensing Systems
Table 96 Autonomous Vehicle Sensor and Sensing Platform Start-Ups in France
Table 97 France: Sensors Market for Autonomous Vehicles, by Level of Autonomy, 2022-2030 (Thousand Units)
14.3.3 Italy
14.3.3.1 Growing Consumer Demand for Luxury Automobiles with Advanced Safety Features to Drive Market
Table 98 Italy: Sensors Market for Autonomous Vehicles, by Level of Autonomy, 2022-2030 (Thousand Units)
14.3.4 UK
14.3.4.1 Increasing Demand for Advanced Safety and Leisure Features on Luxury Vehicles to Drive Market
Table 99 Autonomous Vehicle Sensor and Sensing Platform Start-Ups in UK
Table 100 UK: Sensors Market for Autonomous Vehicles, by Level of Autonomy, 2022-2030 (Thousand Units)
14.3.5 Rest of Europe
Table 101 Rest of Europe: Sensors Market for Autonomous Vehicles, by Level of Autonomy, 2022-2030 (Thousand Units)
14.4 North America
Figure 56 North America: Sensors Market for Autonomous Vehicles Snapshot
Table 102 North America: Sensors Market for Autonomous Vehicles, by Country, 2022-2030 (Thousand Units)
14.4.1 US
14.4.1.1 Government Support for Developing and Testing Autonomous Vehicles to Drive Market
Table 103 Autonomous Vehicle Sensor and Sensing Platform Start-Ups in US
Table 104 US: Sensors Market for Autonomous Vehicles, by Level of Autonomy, 2022-2030 (Thousand Units)
14.4.2 Canada
14.4.2.1 Strong Start-Up Ecosystem and Presence of Leading Tier 1 Component Manufacturers to Drive Market
Table 105 Autonomous Vehicle Sensor and Sensing Platform Start-Ups in Canada
Table 106 Canada: Sensors Market for Autonomous Vehicles, by Level of Autonomy, 2022-2030 (Thousand Units)
14.5 Rest of the World
Figure 57 Rest of the World: Sensors Market for Autonomous Vehicles, by Country, 2022-2030
Table 107 Rest of the World: Sensors Market for Autonomous Vehicles, by Country, 2022-2030 (Thousand Units)
14.5.1 Brazil
14.5.1.1 Expansion of R&D Centers for Autonomous Vehicle Development due to Export Demand to Drive Market
Table 108 Brazil: Sensors Market for Autonomous Vehicles, by Level of Autonomy, 2022-2030 (Thousand Units)
14.5.2 UAE
14.5.2.1 Increasing Development in Autonomous Driving to Boost Market
Table 109 UAE: Sensors Market for Autonomous Vehicles, by Level of Autonomy, 2022-2030 (Thousand Units)
14.5.3 Others
Table 110 Others: Sensors Market for Autonomous Vehicles, by Level of Autonomy, 2022-2030 (Thousand Units)

15 Competitive Landscape
15.1 Overview
15.2 Market Ranking Analysis
Figure 58 Market Ranking Analysis for Sensors Market for Autonomous Vehicles, 2022
15.3 Market Evaluation Framework: Revenue Analysis of Top Listed/Public Players
Figure 59 Top Public/Listed Players Dominating Sensors Market for Autonomous Vehicles
15.4 Competitive Scenario
15.4.1 Deals
Table 111 Deals, 2020-2023
15.4.2 Product Developments
Table 112 New Product Developments, 2020-2023
15.4.3 Others, 2020-2023
Table 113 Expansions, 2020-2023
15.5 Competitive Leadership Mapping for Sensors Market for Autonomous Vehicles
15.5.1 Stars
15.5.2 Emerging Leaders
15.5.3 Pervasive Players
15.5.4 Participants
Figure 60 Sensors Market for Autonomous Vehicles: Competitive Leadership Mapping for Top Players, 2022
15.6 Company Evaluation Quadrant: Sensors Market for Autonomous Vehicles
Table 114 Company Product Footprint
15.7 Sensors Market for Autonomous Vehicles: Company Application Footprint for Manufacturers, 2022
15.8 Sensors Market for Autonomous Vehicles: Regional Footprint for Manufacturers, 2022
15.9 Competitive Evaluation Quadrant: Smes and Start-Ups
15.9.1 Progressive Companies
15.9.2 Responsive Companies
15.9.3 Dynamic Companies
15.9.4 Starting Blocks
Figure 61 Sensors Market for Autonomous Vehicles: Competitive Leadership Mapping for Other Players, 2022
Table 115 Sensors Market for Autonomous Vehicles: Detailed List of Key Start-Ups

16 Company Profiles
(Business Overview, Products Offered, Recent Developments & Analyst's View)*
16.1 Key Players
16.1.1 Robert Bosch GmbH
Table 116 Robert Bosch GmbH: Business Overview
Figure 62 Robert Bosch GmbH: Company Snapshot
Figure 63 Bosch Adas Systems
Table 117 Robert Bosch GmbH: Products Offered
Table 118 Robert Bosch GmbH: New Product Developments
Table 119 Robert Bosch GmbH: Deals
16.1.2 Continental Ag
Table 120 Continental Ag: Business Overview
Figure 64 Continental Ag: Company Snapshot
Table 121 Continental Ag: Products Offered
Table 122 Continental Ag: New Product Developments
Table 123 Continental Ag: Deals
Table 124 Continental Ag: Others
16.1.3 Zf Friedrichshafen Ag
Table 125 Zf Friedrichshafen Ag: Business Overview
Figure 65 Zf Friedrichshafen Ag: Company Snapshot
Figure 66 Zf Friedrichshafen Ag's Adas Systems for Autonomous Vehicles
Table 126 Zf Friedrichshafen Ag: Products Offered
Table 127 Zf Friedrichshafen Ag: New Product Developments
Table 128 Zf Friedrichshafen Ag: Deals
16.1.4 Denso
Table 129 Denso: Business Overview
Figure 67 Denso: Company Snapshot
Table 130 Denso: Products Offered
Table 131 Denso: New Product Developments
Table 132 Denso: Deals
16.1.5 Nxp Semiconductors
Table 133 Nxp Semiconductors: Business Overview
Figure 68 Nxp Semiconductors: Company Snapshot
Table 134 Nxp Semiconductors: Products Offered
Table 135 Nxp Semiconductors: New Product Developments
Table 136 Nxp Semiconductors: Deals
16.1.6 Allegro Microsystems
Table 137 Allegro Microsystems: Business Overview
Figure 69 Allegro Microsystems: Company Snapshot
Table 138 Allegro Microsystems: Products Offered
Table 139 Allegro Microsystems: New Product Developments
Table 140 Allegro Microsystems: Deals
16.1.7 Stmicroelectronics
Table 141 Stmicroelectronics: Business Overview
Figure 70 Stmicroelectronics: Company Snapshot
Table 142 Stmicroelectronics: Products Offered
Table 143 Stmicroelectronics: New Product Developments
Table 144 Stmicroelectronics: Deals
16.1.8 Aptiv plc
Table 145 Aptiv plc: Business Overview
Figure 71 Aptiv plc: Company Snapshot
Figure 72 Aptiv plc Av Architecture
Table 146 Aptiv plc: Products Offered
Table 147 Aptiv plc: New Product Developments
Table 148 Aptiv plc: Deals
16.1.9 Leddartech
Table 149 Leddartech: Business Overview
Figure 73 Leddarvision's Environmental Perception Framework for Av
Table 150 Leddartech: Products Offered
Table 151 Leddartech: New Product Developments
Table 152 Leddartech: Deals
Table 153 Leddartech: Others
16.1.10 Velodyne Lidar
Table 154 Velodyne Lidar: Business Overview
Figure 74 Velodyne Lidar: Company Snapshot
Table 155 Velodyne Lidar: Products Offered
Table 156 Velodyne Lidar: New Product Developments
Table 157 Velodyne Lidar: Deals
16.1.11 Infineon Technologies
Table 158 Infineon Technologies: Business Overview
Figure 75 Infineon Technologies: Company Snapshot
Table 159 Infineon Technologies: Products Offered
Table 160 Infineon Technologies: New Product Developments
Table 161 Infineon Technologies: Deals
16.1.12 Nvidia
Table 162 Nvidia: Business Overview
Figure 76 Nvidia: Company Snapshot
Figure 77 Nvidia Drive Platform
Table 163 Nvidia: Products Offered
Table 164 Nvidia: New Product Developments
Table 165 Nvidia: Deals
16.1.13 Qualcomm
Table 166 Qualcomm: Business Overview
Figure 78 Qualcomm: Company Snapshot
Figure 79 Qualcomm's Snapdragon Ride Software Platform for Av
Table 167 Qualcomm: Products Offered
Table 168 Qualcomm: New Product Developments
Table 169 Qualcomm: Deals
16.1.14 Dataspeed Inc.
Table 170 Dataspeed Inc.: Business Overview
Table 171 Dataspeed Inc.: Products Offered
Table 172 Dataspeed Inc.: New Product Developments
Table 173 Dataspeed Inc.: Deals
16.1.15 Baselabs
Table 174 Baselabs: Business Overview
Figure 80 Baselabs Data Fusion Technology
Table 175 Baselabs: Products Offered
Table 176 Baselabs: New Product Developments
Table 177 Baselabs: Deals
*Details on Business Overview, Products Offered, Recent Developments & Analyst's View Might Not be Captured in Case of Unlisted Companies.
16.2 Other Players
16.2.1 Cts Corporation
16.2.2 Memsic Semiconductor (Tianjin) Co., Ltd.
16.2.3 Kionix, Inc.
Table 178 Kionix, Inc.: Business Overview
16.2.4 Tdk Corporation
Table 179 Tdk Corporation: Business Overview
16.2.5 Microchip Technology Inc.
Table 180 Microchip Technology Inc.: Business Overview
16.2.6 Monolithic Power Systems, Inc.
Table 181 Monolithic Power Systems, Inc.: Business Overview
16.2.7 Ibeo Automotive Systems GmbH
Table 182 Ibeo Automotive Systems GmbH: Business Overview
16.2.8 Renesas Electronics Corporation
Table 183 Renesas Electronics Corporation: Business Overview
16.2.9 Mobileye
Table 184 Mobileye: Business Overview
16.2.10 Magna International
Table 185 Magna International: Business Overview
16.2.11 Analog Devices
Table 186 Analog Devices: Business Overview
16.2.12 Visteon Corporation
Table 187 Visteon Corporation: Business Overview
16.2.13 Phantom Ai
Table 188 Phantom Ai: Business Overview
16.2.14 Tesla
Table 189 Business Overview: Business Overview
16.2.15 Neousys Technology
Table 190 Neousys Technology: Business Overview
16.2.16 Alphabet Inc.
Table 191 Alphabet Inc.: Business Overview
16.2.17 Intel Corporation
Table 192 Intel Corporation: Business Overview
16.2.18 Microsoft Corporation
Table 193 Microsoft Corporation: Business Overview
16.2.19 Te Connectivity Ltd.
Table 194 Te Connectivity Ltd.: Business Overview
16.2.20 Micron Technology
Table 195 Micron Technology: Business Overview
16.2.21 Xilinx, Inc.
Table 196 Xilinx, Inc.: Business Overview
16.2.22 Ibm
Table 197 Ibm: Business Overview

17 Analyst's Recommendations
17.1 Asia-Pacific to be Most Lucrative Region for Sensors Market for Autonomous Vehicles
17.2 Technological Advancements to Help Develop Market for Autonomous Vehicles
17.3 Software Segment to Witness Significant Opportunities in Coming Years with Increased Viability of Low and Mid-Level Sensor Fusion
17.4 Conclusion

18 Appendix
18.1 Key Insights from Industry Experts
18.2 Discussion Guide
18.3 Knowledgestore: The Subscription Portal
18.4 Customization Options

Executive Summary

Companies Mentioned

  • Allegro Microsystems
  • Alphabet Inc.
  • Analog Devices
  • Aptiv plc
  • Baselabs
  • Continental Ag
  • Cts Corporation
  • Dataspeed Inc.
  • Denso
  • Ibeo Automotive Systems GmbH
  • Ibm
  • Infineon Technologies
  • Intel Corporation
  • Kionix, Inc.
  • Leddartech
  • Magna International
  • Memsic Semiconductor (Tianjin) Co., Ltd.
  • Microchip Technology Inc.
  • Micron Technology
  • Microsoft Corporation
  • Mobileye
  • Monolithic Power Systems, Inc.
  • Neousys Technology
  • Nvidia
  • Nxp Semiconductors
  • Phantom Ai
  • Qualcomm
  • Renesas Electronics Corporation
  • Robert Bosch GmbH
  • Stmicroelectronics
  • Tdk Corporation
  • Te Connectivity Ltd.
  • Tesla
  • Velodyne Lidar
  • Visteon Corporation
  • Xilinx, Inc.
  • Zf Friedrichshafen Ag

Methodology

Loading
LOADING...

Table Information