Market Overview:
The global automotive image recognition camera market is expected to grow at a CAGR of 10.5% during the forecast period from 2018 to 2030. The growth of the market can be attributed to the increasing demand for advanced safety features in passenger cars and commercial vehicles. In addition, the increasing adoption of autonomous driving technology is also contributing to the growth of this market. The global automotive image recognition camera market can be segmented on the basis of type into 2-D cameras and 3-D cameras. The 2-D camera segment is expected to hold a larger share than the 3-D camera segment during the forecast period owing to its low cost and high efficiency. On the basis of application,the global automotive image recognition camera market can be divided into passenger cars and commercial vehicles.
Product Definition:
An automotive image recognition camera is a device that uses machine learning algorithms to identify objects in images taken by a car's windshield-mounted cameras. The purpose of an automotive image recognition camera is to provide the driver with information about the objects in their vicinity, such as cars, pedestrians, road signs, and traffic signals. This information can be used to improve safety and efficiency while driving.
2-D Cameras:
2-D cameras are also known as single-lens reflex cameras. They are mainly used in autonomous vehicles for image recognition and human–machine interface applications. These devices have a lens mounted over the imaging sensor, which is used to capture an image of the target object and then convert it into a digital representation.
3-D Cameras:
3-D cameras are also known as stereoscopic cameras. It is a type of camera that creates an illusion of depth by presenting two images separately to the left and right eye of the viewer. The technology has been around for more than 100 years, but only recently have manufacturers started developing 3-D imaging devices that are compact and cost effective enough for consumers.
Application Insights:
Passenger cars segment accounted for the largest revenue share in 2017 and is anticipated to maintain its lead over the forecast period. The growing demand for advanced driver assistance systems (ADAS) such as lane departure warning system, blind spot detection, and forward collision warning system is expected to drive the adoption of image recognition cameras in passenger cars. Furthermore, government initiatives such as Low-speed Vehicle Detection (LSVD) that helps improve traffic flow at low speeds are further expected to propel market growth over the forecast period.
Commercial vehicles segment is projected register notable CAGR during the study period owing to increasing demand from end-use industries including logistics and transportation among others. The development of autonomous commercial vehicles that can transport goods between cities at high speed without human drivers taking decisions has been a subject of research by several companies including Daimler AG, Volvo AB, Byton Motors Co., Ltd., etc.
Regional Analysis:
North America dominated the global market in 2017. The region is expected to maintain its position during the forecast period. This can be attributed to increasing investments in R&D and technological advancements coupled with stringent regulations for road safety in North America. For instance, according to a study published by RAND Corporation, between 2004 and 2013, the number of deaths due to car accidents increased by 22%. Thus, increasing fatalities are resulting into an increase in demand for automotive image recognition cameras.
Asia Pacific is anticipated to witness significant growth over the forecast period owing to rising disposable income especially among middle-class population groups that have been fueling vehicle sales since 2014 as per data published by OICA (Organization Internationale des Constructeurs d'Automobiles). Moreover, growing adoption of advanced safety technologies such as driverless cars is further propelling demand for automotive image recognition cameras over the next eight years. China has been at forefront when it comes autonomous vehicles with companies such as Baidu Inc.
Growth Factors:
- Increasing demand for advanced safety features in automobiles
- Growing popularity of autonomous and semi-autonomous vehicles
- Proliferation of camera-based driver assistance systems
- Rising demand for image recognition in ADAS applications
- Emergence of next-generation Advanced Driver Assistance Systems
Scope Of The Report
Report Attributes
Report Details
Report Title
Automotive Image Recognition Camera Market Research Report
By Type
2-D Cameras, 3-D Cameras
By Application
Passenger Cars, Commercial Vehicles
By Companies
Aptiv (USA), Autoliv (Sweden), Bosch (Germany), Continental (Germany), Denso (Japan), Hitachi Automotive Systems (Japan), Hyundai Mobis (Korea), Leopold Kostal (Germany), Magna International (Canada), Mando (Korea), Aptiv (USA), Nidec Elesys (Japan), Panasonic (Japan), Valeo Group (France)
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
142
Number of Tables & Figures
100
Customization Available
Yes, the report can be customized as per your need.
Global Automotive Image Recognition Camera Market Report Segments:
The global Automotive Image Recognition Camera market is segmented on the basis of:
Types
2-D Cameras, 3-D Cameras
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Passenger Cars, Commercial Vehicles
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Aptiv (USA)
- Autoliv (Sweden)
- Bosch (Germany)
- Continental (Germany)
- Denso (Japan)
- Hitachi Automotive Systems (Japan)
- Hyundai Mobis (Korea)
- Leopold Kostal (Germany)
- Magna International (Canada)
- Mando (Korea)
- Aptiv (USA)
- Nidec Elesys (Japan)
- Panasonic (Japan)
- Valeo Group (France)
Highlights of The Automotive Image Recognition Camera Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- 2-D Cameras
- 3-D Cameras
- By Application:
- Passenger Cars
- Commercial Vehicles
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Automotive Image Recognition Camera Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
An automotive image recognition camera is a type of camera that can be used to identify objects and people inside a car. These cameras are often used in safety applications, such as detecting pedestrians or animals in the car's path.
Some of the major companies in the automotive image recognition camera market are Aptiv (USA), Autoliv (Sweden), Bosch (Germany), Continental (Germany), Denso (Japan), Hitachi Automotive Systems (Japan), Hyundai Mobis (Korea), Leopold Kostal (Germany), Magna International (Canada), Mando (Korea), Aptiv (USA), Nidec Elesys (Japan), Panasonic (Japan), Valeo Group (France).
The automotive image recognition camera market is expected to register a CAGR of 10.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Automotive Image Recognition Camera Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Automotive Image Recognition Camera Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Automotive Image Recognition Camera Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Automotive Image Recognition Camera Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Automotive Image Recognition Camera Market Size & Forecast, 2018-2028
4.5.1 Automotive Image Recognition Camera Market Size and Y-o-Y Growth
4.5.2 Automotive Image Recognition Camera Market Absolute $ Opportunity
Chapter 5 Global Automotive Image Recognition Camera Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Automotive Image Recognition Camera Market Size Forecast by Type
5.2.1 2-D Cameras
5.2.2 3-D Cameras
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Automotive Image Recognition Camera Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Automotive Image Recognition Camera Market Size Forecast by Applications
6.2.1 Passenger Cars
6.2.2 Commercial Vehicles
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Automotive Image Recognition Camera Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Automotive Image Recognition Camera Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Automotive Image Recognition Camera Analysis and Forecast
9.1 Introduction
9.2 North America Automotive Image Recognition Camera Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Automotive Image Recognition Camera Market Size Forecast by Type
9.6.1 2-D Cameras
9.6.2 3-D Cameras
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Automotive Image Recognition Camera Market Size Forecast by Applications
9.10.1 Passenger Cars
9.10.2 Commercial Vehicles
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Automotive Image Recognition Camera Analysis and Forecast
10.1 Introduction
10.2 Europe Automotive Image Recognition Camera Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Automotive Image Recognition Camera Market Size Forecast by Type
10.6.1 2-D Cameras
10.6.2 3-D Cameras
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Automotive Image Recognition Camera Market Size Forecast by Applications
10.10.1 Passenger Cars
10.10.2 Commercial Vehicles
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Automotive Image Recognition Camera Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Automotive Image Recognition Camera Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Automotive Image Recognition Camera Market Size Forecast by Type
11.6.1 2-D Cameras
11.6.2 3-D Cameras
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Automotive Image Recognition Camera Market Size Forecast by Applications
11.10.1 Passenger Cars
11.10.2 Commercial Vehicles
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Automotive Image Recognition Camera Analysis and Forecast
12.1 Introduction
12.2 Latin America Automotive Image Recognition Camera Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Automotive Image Recognition Camera Market Size Forecast by Type
12.6.1 2-D Cameras
12.6.2 3-D Cameras
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Automotive Image Recognition Camera Market Size Forecast by Applications
12.10.1 Passenger Cars
12.10.2 Commercial Vehicles
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Automotive Image Recognition Camera Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Automotive Image Recognition Camera Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Automotive Image Recognition Camera Market Size Forecast by Type
13.6.1 2-D Cameras
13.6.2 3-D Cameras
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Automotive Image Recognition Camera Market Size Forecast by Applications
13.10.1 Passenger Cars
13.10.2 Commercial Vehicles
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Automotive Image Recognition Camera Market: Competitive Dashboard
14.2 Global Automotive Image Recognition Camera Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Aptiv (USA)
14.3.2 Autoliv (Sweden)
14.3.3 Bosch (Germany)
14.3.4 Continental (Germany)
14.3.5 Denso (Japan)
14.3.6 Hitachi Automotive Systems (Japan)
14.3.7 Hyundai Mobis (Korea)
14.3.8 Leopold Kostal (Germany)
14.3.9 Magna International (Canada)
14.3.10 Mando (Korea)
14.3.11 Aptiv (USA)
14.3.12 Nidec Elesys (Japan)
14.3.13 Panasonic (Japan)
14.3.14 Valeo Group (France)
