Market Overview:
The global intelligent roadside perception market is expected to grow at a CAGR of XX% during the forecast period 2018-2030. The market growth can be attributed to the increasing demand for advanced safety and security systems in vehicles. Additionally, the rising trend of autonomous cars is also propelling the growth of this market. The global intelligent roadside perception market by sensing device is segmented into webcam, lidar, mmWave ladar and others. The webcam segment is expected to hold the largest share in 2021 owing to its low cost and easy installation. However, lidar is projected to grow at a higher CAGR during the forecast period as it offers high accuracy and precision in detecting objects on or near roadsides. The global intelligent roadside perception market by application is segmented into highway and city road.
Product Definition:
Intelligent Roadside Perception (IRP) is a term used to describe the ability of a vehicle or system to detect, identify, and react to objects and hazards on or near a roadway. The importance of Intelligent Roadside Perception is that it allows vehicles and systems to make informed decisions about how best to respond to potential hazards, which can help improve safety for drivers, passengers, cyclists, and pedestrians.
Global Intelligent Roadside Perception Market Size Growth Rate by Sensing Device: 2016 VS 2021 VS 2027:
Global GIP market was valued at USD 648.0 million in 2016 and is expected to grow at a compound annual growth rate (CAGR) of 19.8% from 2017 to 2021. The market is driven by the increasing demand for advanced safety features such as Adaptive Cruise Control (ACC), Blind Spot Detection (BSD), Forward Collision Warning, Lane Departure Warning, and Pedestrian Detection systems in passenger vehicles and commercial vehicles.
Webcam:
Webcams are video cameras that are used to capture real-time images or videos. They can be connected to a computer, which enables the recording of those images or videos on a digital medium. The product is available in different forms such as PC camera, TV camera and so on. It finds its major application in remote monitoring of security systems and internet commerce along with other uses such as education research & training, corporate research & training and home automation among others.
Application Insights:
Based on application, the market is segmented into highway and city road. The highway segment dominated the overall market in terms of revenue share in 2021 owing to increasing adoption of such systems across major countries such as U.S., China, Germany and Russia among others. Moreover, governments around the world are investing heavily in intelligent highways to enhance connectivity and foster economic growth by reducing travel time between destinations.
The city road application segment is expected to witness significant growth over the forecast period due to rising demand for real-time traffic information along with improved safety features integrated into lidar sensors for drivers¢â‚¬â„¢ cars along with a reduction in driver distraction while driving on blind turns or lane changes.
Regional Analysis:
North America dominated the global intelligent roadside perception market in terms of revenue share in 2016. The growth can be attributed to the presence of major players such as Continental AG, Zonar Systems Ltd., and Mobileye NV. Moreover, increasing investments by governments for reducing accidents is also expected to drive regional growth over the forecast period. For instance, according to a study conducted by Texas Department of Transportation (TxDOT), between 2004 and 2013 there was a reduction in fatalities on multilane divided highways from 44% without intelligent transportation systems (ITS) to 32% with ITS implementation. This indicates that ITS technologies help reduce highway fatalities by up to 40%.
Growth Factors:
- Increasing demand for advanced safety features in vehicles
- Rising number of vehicle accidents and fatalities globally
- Government initiatives for intelligent transportation systems (ITS) deployment
- Proliferation of connected and autonomous vehicles (CAVs)
- Growing demand for smart cities
Scope Of The Report
Report Attributes
Report Details
Report Title
Intelligent Roadside Perception Market Research Report
By Type
Global Intelligent Roadside Perception Market Size Growth Rate by Sensing Device: 2016 VS 2021 VS 2027, Webcam, Lidar, mmWave Ladar
By Application
Highway, City Road
By Companies
Cohda Wireless, HARMAN Internationa, Commsignia, Alibaba Group, Baidu, Tencent, Huawei, ZTE, China Unicom, Vanjee Technology, Genvict, SureKAM Corporation, Beijing Nebula Link, Huali-tec, Sequoia, Caeri, TransMicrowave, Nanjing Hurys, Ehualu, Shenzhen Leishen Lidar, SenseTime
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
138
Number of Tables & Figures
97
Customization Available
Yes, the report can be customized as per your need.
Global Intelligent Roadside Perception Market Report Segments:
The global Intelligent Roadside Perception market is segmented on the basis of:
Types
Global Intelligent Roadside Perception Market Size Growth Rate by Sensing Device: 2016 VS 2021 VS 2027, Webcam, Lidar, mmWave Ladar
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
Highway, City Road
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:
- Cohda Wireless
- HARMAN Internationa
- Commsignia
- Alibaba Group
- Baidu
- Tencent
- Huawei
- ZTE
- China Unicom
- Vanjee Technology
- Genvict
- SureKAM Corporation
- Beijing Nebula Link
- Huali-tec
- Sequoia
- Caeri
- TransMicrowave
- Nanjing Hurys
- Ehualu
- Shenzhen Leishen Lidar
- SenseTime
Highlights of The Intelligent Roadside Perception 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:
- Global Intelligent Roadside Perception Market Size Growth Rate by Sensing Device: 2016 VS 2021 VS 2027
- Webcam
- Lidar
- mmWave Ladar
- By Application:
- Highway
- City Road
- 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 Intelligent Roadside Perception 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?
Intelligent Roadside Perception (IRP) is a technology that uses sensors and cameras to detect objects and vehicles on the roadside, as well as traffic conditions. This information is then used to provide drivers with real-time alerts about potential hazards ahead. IRP can also help drivers plan their routes more efficiently, avoid congestion, and save time on their journey.
Some of the major companies in the intelligent roadside perception market are Cohda Wireless, HARMAN Internationa, Commsignia, Alibaba Group, Baidu, Tencent, Huawei, ZTE, China Unicom, Vanjee Technology, Genvict, SureKAM Corporation, Beijing Nebula Link, Huali-tec, Sequoia, Caeri, TransMicrowave, Nanjing Hurys, Ehualu, Shenzhen Leishen Lidar, SenseTime.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Intelligent Roadside Perception 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 Intelligent Roadside Perception Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Intelligent Roadside Perception 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 Intelligent Roadside Perception 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 Intelligent Roadside Perception Market Size & Forecast, 2018-2028
4.5.1 Intelligent Roadside Perception Market Size and Y-o-Y Growth
4.5.2 Intelligent Roadside Perception Market Absolute $ Opportunity
Chapter 5 Global Intelligent Roadside Perception 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 Intelligent Roadside Perception Market Size Forecast by Type
5.2.1 Global Intelligent Roadside Perception Market Size Growth Rate by Sensing Device: 2016 VS 2021 VS 2027
5.2.2 Webcam
5.2.3 Lidar
5.2.4 mmWave Ladar
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Intelligent Roadside Perception 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 Intelligent Roadside Perception Market Size Forecast by Applications
6.2.1 Highway
6.2.2 City Road
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Intelligent Roadside Perception 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 Intelligent Roadside Perception 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 Intelligent Roadside Perception Analysis and Forecast
9.1 Introduction
9.2 North America Intelligent Roadside Perception 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 Intelligent Roadside Perception Market Size Forecast by Type
9.6.1 Global Intelligent Roadside Perception Market Size Growth Rate by Sensing Device: 2016 VS 2021 VS 2027
9.6.2 Webcam
9.6.3 Lidar
9.6.4 mmWave Ladar
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 Intelligent Roadside Perception Market Size Forecast by Applications
9.10.1 Highway
9.10.2 City Road
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 Intelligent Roadside Perception Analysis and Forecast
10.1 Introduction
10.2 Europe Intelligent Roadside Perception 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 Intelligent Roadside Perception Market Size Forecast by Type
10.6.1 Global Intelligent Roadside Perception Market Size Growth Rate by Sensing Device: 2016 VS 2021 VS 2027
10.6.2 Webcam
10.6.3 Lidar
10.6.4 mmWave Ladar
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 Intelligent Roadside Perception Market Size Forecast by Applications
10.10.1 Highway
10.10.2 City Road
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 Intelligent Roadside Perception Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Intelligent Roadside Perception 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 Intelligent Roadside Perception Market Size Forecast by Type
11.6.1 Global Intelligent Roadside Perception Market Size Growth Rate by Sensing Device: 2016 VS 2021 VS 2027
11.6.2 Webcam
11.6.3 Lidar
11.6.4 mmWave Ladar
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 Intelligent Roadside Perception Market Size Forecast by Applications
11.10.1 Highway
11.10.2 City Road
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 Intelligent Roadside Perception Analysis and Forecast
12.1 Introduction
12.2 Latin America Intelligent Roadside Perception 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 Intelligent Roadside Perception Market Size Forecast by Type
12.6.1 Global Intelligent Roadside Perception Market Size Growth Rate by Sensing Device: 2016 VS 2021 VS 2027
12.6.2 Webcam
12.6.3 Lidar
12.6.4 mmWave Ladar
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 Intelligent Roadside Perception Market Size Forecast by Applications
12.10.1 Highway
12.10.2 City Road
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) Intelligent Roadside Perception Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Intelligent Roadside Perception 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) Intelligent Roadside Perception Market Size Forecast by Type
13.6.1 Global Intelligent Roadside Perception Market Size Growth Rate by Sensing Device: 2016 VS 2021 VS 2027
13.6.2 Webcam
13.6.3 Lidar
13.6.4 mmWave Ladar
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) Intelligent Roadside Perception Market Size Forecast by Applications
13.10.1 Highway
13.10.2 City Road
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 Intelligent Roadside Perception Market: Competitive Dashboard
14.2 Global Intelligent Roadside Perception Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Cohda Wireless
14.3.2 HARMAN Internationa
14.3.3 Commsignia
14.3.4 Alibaba Group
14.3.5 Baidu
14.3.6 Tencent
14.3.7 Huawei
14.3.8 ZTE
14.3.9 China Unicom
14.3.10 Vanjee Technology
14.3.11 Genvict
14.3.12 SureKAM Corporation
14.3.13 Beijing Nebula Link
14.3.14 Huali-tec
14.3.15 Sequoia
14.3.16 Caeri
14.3.17 TransMicrowave
14.3.18 Nanjing Hurys
14.3.19 Ehualu
14.3.20 Shenzhen Leishen Lidar
14.3.21 SenseTime
