Global Intelligent Roadside Perception 麻豆原创 Research Report 2024

Publication ID:

PB505258366

Publication Date:

May 14, 2024

Pages:

107

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

Manufacturing (Automotive) [2]

Automotive [3]

Description:

The global Intelligent Roadside Perception market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Intelligent Roadside Perception is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Intelligent Roadside Perception is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Intelligent Roadside Perception in Highway is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Intelligent Roadside Perception include Cohda Wireless, HARMAN Internationa, Commsignia, Alibaba Group, Baidu, Tencent, Huawei, ZTE and China Unicom, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Intelligent Roadside Perception, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Intelligent Roadside Perception.
Report Scope
The Intelligent Roadside Perception market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Intelligent Roadside Perception market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Intelligent Roadside Perception companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
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
Segment by Type
Webcam
Lidar
mmWave Ladar
Segment by Application
Highway
City Road
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Intelligent Roadside Perception companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Intelligent Roadside Perception 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Webcam
1.2.3 Lidar
1.2.4 mmWave Ladar
1.3 麻豆原创 by Application
1.3.1 Global Intelligent Roadside Perception 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Highway
1.3.3 City Road
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Intelligent Roadside Perception 麻豆原创 Perspective (2019-2030)
2.2 Intelligent Roadside Perception Growth Trends by Region
2.2.1 Global Intelligent Roadside Perception 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Intelligent Roadside Perception Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Intelligent Roadside Perception Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Intelligent Roadside Perception 麻豆原创 Dynamics
2.3.1 Intelligent Roadside Perception Industry Trends
2.3.2 Intelligent Roadside Perception 麻豆原创 Drivers
2.3.3 Intelligent Roadside Perception 麻豆原创 Challenges
2.3.4 Intelligent Roadside Perception 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Intelligent Roadside Perception Players by Revenue
3.1.1 Global Top Intelligent Roadside Perception Players by Revenue (2019-2024)
3.1.2 Global Intelligent Roadside Perception Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Intelligent Roadside Perception 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Intelligent Roadside Perception Revenue
3.4 Global Intelligent Roadside Perception 麻豆原创 Concentration Ratio
3.4.1 Global Intelligent Roadside Perception 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Intelligent Roadside Perception Revenue in 2023
3.5 Intelligent Roadside Perception Key Players Head office and Area Served
3.6 Key Players Intelligent Roadside Perception Product Solution and Service
3.7 Date of Enter into Intelligent Roadside Perception 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 Intelligent Roadside Perception Breakdown Data by Type
4.1 Global Intelligent Roadside Perception Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Intelligent Roadside Perception Forecasted 麻豆原创 Size by Type (2025-2030)
5 Intelligent Roadside Perception Breakdown Data by Application
5.1 Global Intelligent Roadside Perception Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Intelligent Roadside Perception Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Intelligent Roadside Perception 麻豆原创 Size (2019-2030)
6.2 North America Intelligent Roadside Perception 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Intelligent Roadside Perception 麻豆原创 Size by Country (2019-2024)
6.4 North America Intelligent Roadside Perception 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Intelligent Roadside Perception 麻豆原创 Size (2019-2030)
7.2 Europe Intelligent Roadside Perception 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Intelligent Roadside Perception 麻豆原创 Size by Country (2019-2024)
7.4 Europe Intelligent Roadside Perception 麻豆原创 Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Intelligent Roadside Perception 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific Intelligent Roadside Perception 麻豆原创 Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Intelligent Roadside Perception 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific Intelligent Roadside Perception 麻豆原创 Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Intelligent Roadside Perception 麻豆原创 Size (2019-2030)
9.2 Latin America Intelligent Roadside Perception 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Intelligent Roadside Perception 麻豆原创 Size by Country (2019-2024)
9.4 Latin America Intelligent Roadside Perception 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Intelligent Roadside Perception 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa Intelligent Roadside Perception 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Intelligent Roadside Perception 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa Intelligent Roadside Perception 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Cohda Wireless
11.1.1 Cohda Wireless Company Detail
11.1.2 Cohda Wireless Business Overview
11.1.3 Cohda Wireless Intelligent Roadside Perception Introduction
11.1.4 Cohda Wireless Revenue in Intelligent Roadside Perception Business (2019-2024)
11.1.5 Cohda Wireless Recent Development
11.2 HARMAN Internationa
11.2.1 HARMAN Internationa Company Detail
11.2.2 HARMAN Internationa Business Overview
11.2.3 HARMAN Internationa Intelligent Roadside Perception Introduction
11.2.4 HARMAN Internationa Revenue in Intelligent Roadside Perception Business (2019-2024)
11.2.5 HARMAN Internationa Recent Development
11.3 Commsignia
11.3.1 Commsignia Company Detail
11.3.2 Commsignia Business Overview
11.3.3 Commsignia Intelligent Roadside Perception Introduction
11.3.4 Commsignia Revenue in Intelligent Roadside Perception Business (2019-2024)
11.3.5 Commsignia Recent Development
11.4 Alibaba Group
11.4.1 Alibaba Group Company Detail
11.4.2 Alibaba Group Business Overview
11.4.3 Alibaba Group Intelligent Roadside Perception Introduction
11.4.4 Alibaba Group Revenue in Intelligent Roadside Perception Business (2019-2024)
11.4.5 Alibaba Group Recent Development
11.5 Baidu
11.5.1 Baidu Company Detail
11.5.2 Baidu Business Overview
11.5.3 Baidu Intelligent Roadside Perception Introduction
11.5.4 Baidu Revenue in Intelligent Roadside Perception Business (2019-2024)
11.5.5 Baidu Recent Development
11.6 Tencent
11.6.1 Tencent Company Detail
11.6.2 Tencent Business Overview
11.6.3 Tencent Intelligent Roadside Perception Introduction
11.6.4 Tencent Revenue in Intelligent Roadside Perception Business (2019-2024)
11.6.5 Tencent Recent Development
11.7 Huawei
11.7.1 Huawei Company Detail
11.7.2 Huawei Business Overview
11.7.3 Huawei Intelligent Roadside Perception Introduction
11.7.4 Huawei Revenue in Intelligent Roadside Perception Business (2019-2024)
11.7.5 Huawei Recent Development
11.8 ZTE
11.8.1 ZTE Company Detail
11.8.2 ZTE Business Overview
11.8.3 ZTE Intelligent Roadside Perception Introduction
11.8.4 ZTE Revenue in Intelligent Roadside Perception Business (2019-2024)
11.8.5 ZTE Recent Development
11.9 China Unicom
11.9.1 China Unicom Company Detail
11.9.2 China Unicom Business Overview
11.9.3 China Unicom Intelligent Roadside Perception Introduction
11.9.4 China Unicom Revenue in Intelligent Roadside Perception Business (2019-2024)
11.9.5 China Unicom Recent Development
11.10 Vanjee Technology
11.10.1 Vanjee Technology Company Detail
11.10.2 Vanjee Technology Business Overview
11.10.3 Vanjee Technology Intelligent Roadside Perception Introduction
11.10.4 Vanjee Technology Revenue in Intelligent Roadside Perception Business (2019-2024)
11.10.5 Vanjee Technology Recent Development
11.11 Genvict
11.11.1 Genvict Company Detail
11.11.2 Genvict Business Overview
11.11.3 Genvict Intelligent Roadside Perception Introduction
11.11.4 Genvict Revenue in Intelligent Roadside Perception Business (2019-2024)
11.11.5 Genvict Recent Development
11.12 SureKAM Corporation
11.12.1 SureKAM Corporation Company Detail
11.12.2 SureKAM Corporation Business Overview
11.12.3 SureKAM Corporation Intelligent Roadside Perception Introduction
11.12.4 SureKAM Corporation Revenue in Intelligent Roadside Perception Business (2019-2024)
11.12.5 SureKAM Corporation Recent Development
11.13 Beijing Nebula Link
11.13.1 Beijing Nebula Link Company Detail
11.13.2 Beijing Nebula Link Business Overview
11.13.3 Beijing Nebula Link Intelligent Roadside Perception Introduction
11.13.4 Beijing Nebula Link Revenue in Intelligent Roadside Perception Business (2019-2024)
11.13.5 Beijing Nebula Link Recent Development
11.14 Huali-tec
11.14.1 Huali-tec Company Detail
11.14.2 Huali-tec Business Overview
11.14.3 Huali-tec Intelligent Roadside Perception Introduction
11.14.4 Huali-tec Revenue in Intelligent Roadside Perception Business (2019-2024)
11.14.5 Huali-tec Recent Development
11.15 Sequoia
11.15.1 Sequoia Company Detail
11.15.2 Sequoia Business Overview
11.15.3 Sequoia Intelligent Roadside Perception Introduction
11.15.4 Sequoia Revenue in Intelligent Roadside Perception Business (2019-2024)
11.15.5 Sequoia Recent Development
11.16 Caeri
11.16.1 Caeri Company Detail
11.16.2 Caeri Business Overview
11.16.3 Caeri Intelligent Roadside Perception Introduction
11.16.4 Caeri Revenue in Intelligent Roadside Perception Business (2019-2024)
11.16.5 Caeri Recent Development
11.17 TransMicrowave
11.17.1 TransMicrowave Company Detail
11.17.2 TransMicrowave Business Overview
11.17.3 TransMicrowave Intelligent Roadside Perception Introduction
11.17.4 TransMicrowave Revenue in Intelligent Roadside Perception Business (2019-2024)
11.17.5 TransMicrowave Recent Development
11.18 Nanjing Hurys
11.18.1 Nanjing Hurys Company Detail
11.18.2 Nanjing Hurys Business Overview
11.18.3 Nanjing Hurys Intelligent Roadside Perception Introduction
11.18.4 Nanjing Hurys Revenue in Intelligent Roadside Perception Business (2019-2024)
11.18.5 Nanjing Hurys Recent Development
11.19 Ehualu
11.19.1 Ehualu Company Detail
11.19.2 Ehualu Business Overview
11.19.3 Ehualu Intelligent Roadside Perception Introduction
11.19.4 Ehualu Revenue in Intelligent Roadside Perception Business (2019-2024)
11.19.5 Ehualu Recent Development
11.20 Shenzhen Leishen Lidar
11.20.1 Shenzhen Leishen Lidar Company Detail
11.20.2 Shenzhen Leishen Lidar Business Overview
11.20.3 Shenzhen Leishen Lidar Intelligent Roadside Perception Introduction
11.20.4 Shenzhen Leishen Lidar Revenue in Intelligent Roadside Perception Business (2019-2024)
11.20.5 Shenzhen Leishen Lidar Recent Development
11.21 SenseTime
11.21.1 SenseTime Company Detail
11.21.2 SenseTime Business Overview
11.21.3 SenseTime Intelligent Roadside Perception Introduction
11.21.4 SenseTime Revenue in Intelligent Roadside Perception Business (2019-2024)
11.21.5 SenseTime Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

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

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