Report Content
Chapter 1 Methodology & Scope
1.1 Research design
1.1.1 Research approach
1.1.2 Data collection methods
1.2 Base estimates and calculations
1.2.1 Base year calculation
1.2.2 Key trends for market estimates
1.3 Forecast model
1.4 Primary research & validation
1.4.1 Primary sources
1.4.2 Data mining sources
1.5 Market definitions
Chapter 2 Executive Summary
2.1 Industry 3600 synopsis, 2021 - 2032
Chapter 3 Industry Insights
3.1 Industry ecosystem analysis
3.1.1 Automotive manufacturers
3.1.2 Technology providers
3.1.3 Infrastructure providers
3.1.4 Software developers
3.1.5 Telecommunications providers
3.1.6 End users
3.2 Supplier landscape
3.3 Profit margin analysis
3.4 Technology & innovation landscape
3.5 Patent analysis
3.6 Understanding impact of security and privacy measure on the market growth
3.7 Key news & initiatives
3.8 Regulatory landscape
3.9 Impact forces
3.9.1 Growth drivers
3.9.1.1 Rise of autonomous vehicles
3.9.1.2 Growing adoption of ADAS
3.9.1.3 Urbanization and smart city initiatives
3.9.1.4 Consumer demand for safety features
3.9.2 Industry pitfalls & challenges
3.9.2.1 Lack of standardization
3.9.2.2 High development costs
3.10 Growth potential analysis
3.11 Porter’s analysis
3.12 PESTEL analysis
Chapter 4 Competitive Landscape, 2023
4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix
Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2032 ($Bn)
5.1 Key trends
5.2 Hardware
5.2.1 Cameras and image sensors
5.2.2 LiDAR sensors
5.2.3 Radar sensors
5.2.4 Processing units/ECUs
5.2.5 Display units
5.2.6 GPS receivers
5.3 Software
5.3.1 Image processing algorithms
5.3.2 Machine learning models
5.3.3 Object detection software
5.3.4 Neural network solutions
5.3.5 Cloud-based platforms
Chapter 6 Market Estimates & Forecast, By Vehicle, 2021 - 2032 ($Bn, Units)
6.1 Key trends
6.2 Passenger vehicles
6.3 Commercial vehicles
6.3.1 Light commercial vehicles
6.3.2 Heavy commercial vehicles
6.4 Special purpose vehicles
Chapter 7 Market Estimates & Forecast, By Technology, 2021 - 2032 ($Bn)
7.1 Key trends
7.2 Image processing
7.3 Deep learning
7.4 Computer vision
7.5 Machine learning
7.6 Pattern recognition
7.7 Sensor fusion
Chapter 8 Market Estimates & Forecast, By Application, 2021 - 2032 ($Bn)
8.1 Key trends
8.2 Traffic light detection
8.3 Stop sign recognition
8.4 Speed limit detection
8.5 Warning sign recognition
8.6 Lane marking detection
8.7 Pedestrian crossing recognition
8.8 Railroad crossing detection
8.9 Yield sign recognition
Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)
9.1 Key trends
9.2 North America
9.2.1 U.S.
9.2.2 Canada
9.3 Europe
9.3.1 UK
9.3.2 Germany
9.3.3 France
9.3.4 Spain
9.3.5 Italy
9.3.6 Nordics
9.4 Asia Pacific
9.4.1 China
9.4.2 India
9.4.3 Japan
9.4.4 South Korea
9.4.5 ANZ
9.4.6 Southeast Asia
9.5 Latin America
9.5.1 Brazil
9.5.2 Mexico
9.5.3 Argentina
9.6 MEA
9.6.1 UAE
9.6.2 South Africa
9.6.3 Saudi Arabia
Chapter 10 Company Profiles
10.1 Audi
10.2 Bosch
10.3 Continental AG
10.4 Denso
10.5 Ford
10.6 General Motors
10.7 Hella GmbH & Co. KGaA
10.8 HERE Technologies
10.9 Hitachi Automotive Systems
10.10 Hyundai
10.11 Mobileye
10.12 Nissan
10.13 Nvidia
10.14 Renesas Electronics Corporation
10.15 TomTom
10.16 Toshiba
10.17 Toyota
10.18 Valeo
10.19 Veoneer
10.20 ZF Friedrichshafen
