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市场调查报告书

世界智能高速公路市场(2019-2026)

Global Smart Highways Market - 2021-2028

出版商 DataM Intelligence 商品编码 950555
出版日期 内容资讯 英文 180 Pages
商品交期: 约2个工作天内
价格
世界智能高速公路市场(2019-2026) Global Smart Highways Market - 2021-2028
出版日期: 2021年07月12日内容资讯: 英文 180 Pages
简介

全球智能高速公路市场由对交通管理(如交通拥堵,事故,污染和人口增长引起的燃料短缺)的智能高速公路需求不断增长所驱动。城市地区人口迅速增加,车辆使用者不断增加,事故和交通拥堵不断增加。因此,在使用智能高速公路技术管理交通方面取得了进步,并且迫切需要管理和控制这些问题以实现可持续增长。据国际安全道路旅行协会(Safe International Road Travel Association)称,每年约有135万人死于道路交通和其他许多原因造成的交通事故中。因此,智能高速公路通过安装有助于防止交通事故的系统,例如交通控制系统,路灯和白炽灯,来帮助控制交通事故。

该报告调查了全球智能高速公路市场,并提供了系统信息,例如市场概况,按细分市场和地区划分的市场规模预测,关键公司概况以及竞争态势分析。

内容

第1章调查方法和范围

  • 调查方法
  • 调查目的和调查范围

第2章市场定义和概述

第3章市场概述

  • 按组件细分的市场
  • 按部署模型细分的市场
  • 按技术细分的市场
  • 区域市场细分

第4章市场动态

  • 影响市场的因素
    • 生长因子
    • 抑制因子
    • 影响分析
  • 市场机会

第5章行业分析

  • 波特的五力分析
  • 供应链分析
  • 法规分析
  • 价格分析

第6章按组成部分的全球智能高速公路市场

  • 简介
    • 按组成部分的市场规模分析和同比增长分析(%)
    • 按组件划分的市场吸引力指数
  • 智能高速公路行业软件
    • 简介
    • 2016-2025年市场规模分析(百万美元),2018-2026年同比增长分析(%)
    • 硬件
    • 服务

第7章世界智能高速公路市场:按部署模型

  • 简介
    • 按技术分析的市场规模和按年增长分析(%)
    • 按部署模型划分的市场吸引力指数
  • 基于云端
    • 简介
    • 2016-2025年市场规模分析(百万美元),2018-2026年同比增长分析(%)
  • 内部部署

第8章按技术分列的全球智能高速公路市场

  • 简介
    • 按技术分析的市场规模和按年增长分析(%)
    • 按部署模型划分的市场吸引力指数
  • 智能交通管理系统
    • 简介
    • 2016-2025年市场规模分析(百万美元),2018-2026年同比增长分析(%)
  • 交通管理系统
  • 通讯系统
  • 监控系统
  • 其他

第9章按地区划分的世界智能高速公路市场

  • 简介
    • 按地区和按年增长分析的市场规模分析(%)
    • 按地区划分的市场吸引力指数
  • 北美
    • 简介
    • 特定地区的主要动态
    • 按组成部分的市场规模分析和同比增长分析(%)
    • 按部署模型进行的市场规模分析和按年增长分析(%)
    • 按技术分析的市场规模和按年增长分析(%)
    • 按国家/地区划分的市场规模分析和同比增长分析(%)
  • 欧洲
    • 简介
    • 特定地区的主要动态
    • 按组成部分的市场规模分析和同比增长分析(%)
    • 按部署模型进行的市场规模分析和按年增长分析(%)
    • 按技术分析的市场规模和按年增长分析(%)
    • 按国家/地区划分的市场规模分析和同比增长分析(%)
  • 南美洲
    • 简介
    • 特定地区的主要动态
    • 按组成部分的市场规模分析和同比增长分析(%)
    • 按部署模型进行的市场规模分析和按年增长分析(%)
    • 按技术分析的市场规模和按年增长分析(%)
    • 按国家/地区划分的市场规模分析和同比增长分析(%)
  • 亚太地区
    • 简介
    • 特定地区的主要动态
    • 按组成部分的市场规模分析和同比增长分析(%)
    • 按部署模型进行的市场规模分析和按年增长分析(%)
    • 按技术分析的市场规模和按年增长分析(%)
    • 按国家/地区划分的市场规模分析和同比增长分析(%)
  • 中东/非洲
    • 简介
    • 特定地区的主要动态
    • 按组成部分的市场规模分析和同比增长分析(%)
    • 按部署模型进行的市场规模分析和按年增长分析(%)
    • 按技术分析的市场规模和按年增长分析(%)

第10章竞争情况

  • 竞争情景
  • 市场定位/占有率分析
  • 并购分析

第11章公司简介

  • Cisco System
    • 公司概述
    • 投资组合/说明
    • 主要亮点
    • 财务概览
  • Siemens AG
  • Kapsch AG
  • ABB Ltd
  • Honeywell International
  • ALE International
  • AT&T
  • IBM Corporation
  • Huawei Technologies Co.
  • LG
  • Schneider Electric SE
  • 其他

第12章世界智能高速公路市场:重要考虑因素

第13章世界智能高速公路市场:DataM

  • 附录
  • 关于我们的公司和服务
  • 联系我们

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目录
Product Code: DMOT2521

Market Overview

The global smart highways market had a market share of $XX billion in 2018 and is expected to grow at a CAGR (Compound Annual Growth Rate) of YY% from 2021 to 2028 and is expected to reach $XX billion in 2028.

Smart highways and roads are the types of roadways that exploit the technological advances in the field of electronics and ICT (Information and Communications Technology) to resolve the issues of current transportation. A road which monitors the traffic flow through a centralised monitoring system and provides solution to ensure effective transportation is an instance of a smart highway.

Market Dynamics

The global market of smart highways is affected by drivers like need for better and sustainable highways, increasing demand for smart cities, support by government in developing better transportation methods, increasing vehicular population, innovation in the information and communication technologies.

Need for better and sustainable highways

One of the major problems faced by commuters daily is the traffic congestion. According to TT Traffic Index 2019 report, traffic congestion has gone up globally for the last decade and so has the opportunity cost of extra-time spend on the road by people. The most congested cities in the world are Mumbai in India, with 65% extra time spent in traffic by its drivers, followed by Bogota in Colombia with the percentage to be 63%, Lima in Peru with 58%, New Delhi in India with 58% and Moscow in Russia (56%).

Another problem faced by the commuters is the traffic accidents. According to the World Health organisation report on traffic ,2020, approximately 1.35 million people die each year as a result of road traffic crashes, road traffic crashes cost most countries 3% of their gross domestic product and road traffic injuries are the leading cause of death for children and young adults aged 5-29 years.

It can be solved to a significant extent by incorporating technology in vehicles and roadways. By integrating Networking and Machine Learning technology in traffic lights, the roads become smart enough to respond to real time demand. One use case is when the traffic in certain roads intersections is uncontrollably higher than other connecting roads. Smart traffic lights can collect and analyse real time data to cooperate with other traffic signals on the same road and maximise the road capacity.

For instance, Barcelona has adopted the Dynamic Forecasting System which has two aspects Parking management and traffic control cameras that tries to improve traffic congestion. There are sensors installed at parking spots and video with analytics provide real-time data on parking availability, which are transmitted through the city's Wi-Fi infrastructure, linking devices belonging the end user and local authorities. Traffic control cameras are connected by fibre optics to the transport authority to monitor traffic in real time, providing the control centre means to increase or reduce the frequency of green lights according to the traffic conditions.

Another purpose that integration of ICT (Information and Communications Technologies) and electronic technologies accomplish is avoiding and increasing response time to accidents on the highways. A substantial number of accidents are caused due to vehicles specially trucks being overweight and travelling at non-permissible speeds. Weigh-in-motion (WIM) devices are installed at entry points which collects the weights and size of the vehicles, thus alerting the highway system of the potential threat. Sensors lined on highways are used to detect accidents.

The Eastern peripheral expressway in India which is the first and only finished smart highway project in India has WIMs installed at every entry point with two gates one leading to the expressway and other for a U-turn. This application of WIMs has considerably reduced the frequency of accidents in contrast to other national highways where the traffic congestion is comparable.

Clean Energy and Drop in Fossil Fuel Consumption

Nations around the world are investing actively and hugely in smart city projects. For instance, China has over 300 smart city projects and India is going to invest trillions in over 100 smart city projects.

The rapid transportation of goods and commodities have enabled in the scaling of businesses and creating new cities. While transportation is commonly viewed as a classical civil and structural engineering problem, it is increasingly becoming digitally enabled with info-communication technologies.

Solar panel technology used in smart highways attempts to reduce the consumption of fossil-fuel and provides clean energy for the environment. According to a report by World Health Council, 2021, the global energy demand is expected to double by 2050. To meet this demand smart roads can be used to capture, store and redistribute energy.

The world's first solar road opened to public traffic in Jinan, Shangdong, China in 2017. It is said to generate enough power for 800 homes. In its first 14 weeks of testing the photovoltaic cell(solar) road generate 96 MW of energy. The power generated is expected to power street lamps and signposts. The solar technology innovators in China predict that with the advancement of solar technology in China the cost of installation of photovoltaic cell on the roads will considerably drop. They further claim that if two lanes of every highway is installed with solar cells, then it can produce nearly 7 million GWh per year which is 1.3 times the total power consumption of China in 2015 and will reduce the greenhouse gas emissions by 7.2 billion tonnes.

One use case of smart highways is reducing carbon emission of vehicles by using electrified roads. The general population of the smart cities will tend to use electric vehicles and the recent surge in the market of the electric vehicles points towards it. A person can only charge his vehicle at the nearest charging stations. These stations are not rarely located near each other; hence the electric car companies use high-capacity batteries. The installation of electric lines on the roads will change the way one charges its electric vehicle. The vehicles can be charged while in motion. This allows the electric vehicles to use batteries significantly smaller in size thus reducing carbon emission by about 80-90%.

Sweden was the first nation to implement this technology on a 1.2 mile stretch of road in Stockholm. The stretch has embedded electric rails which charges batteries of trucks and other electric vehicles. The country has planned to expand this project through the country to become a fossil-fuel free by 2030.

The Global Smart Highways Market is also affected by restraints like lack of infrastructure, government funding, technical knowledge and training and strict laws imposed on the construction companies.

Covid-19 Impact Analysis

The operations of different projects had taken a halt in various countries due to the lockdown. The investments in the smart highway architecture has also decreased due to the increased investment in medical infrastructure and economic drop throughout the world. However, economists are of the opinion that investments in highway infrastructure is essential for reviving the economy.

In May 2021, a NHAI (National Highway Authority of India) official said that the second wave had minimal impact on the operations.

Segment Analysis

The global smart highway market is segmented based on the component, deployment model, technology, and region. In terms of component, it is split into hardware, software and services. In terms of deployment model, the software market is bifurcated into on-premise and cloud. In terms of technology, it is divided into intelligent transportation management system, intelligent management system, communication system, monitoring system, and others.

The component segment of the market is dominated by hardware as it is evident from the graph. The Intelligent Highway Management system uses smart traffic lights which are embedded with IoT devices, video imaging cameras and other hardware devices. In August 2020, the UN General Assembly adopted resolution "Improving global road safety", announcing the Decade of Action for Road Safety 2021-2030, with the ambitious target of preventing at least 50% of road traffic deaths and injuries by 2030.

The Weight in Motion devices includes sensors, charge amplifiers, inductive loop system, measuring system and video imaging cameras. Overloaded trucks and lorries can cause various kinds of hazards such as mechanical failures and structural deformation of, which causes accidents, and it is an illegal and punishable offence in many countries . For instance, according to the South African National Road Traffic Regulations, driving an overloaded vehicle leads to prosecution for an offence under regulations in the National Road Traffic Act. According to the U.S. Department of Transportation, vehicle condition and road/environment conditions are the two factors which are collectively responsible for 5.2% of road accidents.

The software component is becoming increasingly efficient with the advancement of technology and hence there is rise in its deployment. For instance, in May 2021, Finland based company called Wirepas announced he world's first intent-based non-cellular 5G technology. This will allow any network to work autonomously and allow systems to automate it to its purpose. This will allow more IoT devices to be installed as the cost of connecting these devices would reduce significantly. Thus, greater number of traffic signal would be able to communicate with each other.

Geographical Analysis

In terms of region, the global smart highways market is divided into North America, South America, Europe, Asia-Pacific, Middle-East, and Africa. Among all of the regions, North America dominated the market. It is expected to grow at the highest CAGR during the forecasted period due to advanced technology and raise government investment for sustainable development with growing traffic followed by the Europe region.According to a report by Forbes, 2020, six of the ten smartest cities in the world are located in North America and Europe.

For instance, in 2018, Eberle Design Inc, US based manufacturer and developer of electronic intersection monitoring and detection products for the traffic, launched a traffic data aggregator called iCITE® Data Aggregator - an innovative way to collect and analyse traffic safety metrics for more intelligent traffic management. The useful interpretation of the data collected into real-time information provides for effective action by traffic engineers.

According to the Urban Institute of Brooking Institution Tax Policy Center Organization in 2017, the United States state and local governments have spent around USD 181 billion on development of highways. Approximately 6 percent of direct general spending on roads and highways development includes smart devices and software expenditure.

Competitive Analysis

The global market of smart highways has many key corporations including ABB Ltd, ALE International, AT&T Inc., Cisco System Inc., IBM Corporation, Huawei Technologies Co. Ltd., LG CSN, Honeywell International Inc., Schneider Electric SE and Siemens AG. The different growth strategies adopted by the companies include product launches, improving relations with the state and central government, initiating in environment friendly projects and various others. The broad array of technological products that are launched from time to time and the opportunities available due to a wide spectrum of problems make the market highly competitive.

A US based start-up called SURTRAC creates softwares which aims to reduce traffic congestion, waiting time and decrease pollution in urban cities. One city which has witnessed these results is Quincy, Massachusetts where the software is installed in around 20 busiest intersections. With the success of examples like Quincy, the federal and state transport authority is looking forward to installing SURTRAC (name of the software) in highly populated cities.

In Netherlands, a construction company called Heijmans developed a cheaper solution to ensure safety on the highways by deploying glowing lines as a pilot project. The roads are painted with a certain chemical which charges during the day and glows for around 8 hours during the night acting as partition of the roads and borders on the curves of steep slopes. A solution which uses minimal resources attracts contracts from the government.

Why Purchase the Report?

  • Visualize the composition of the global Smart highways market products in terms of Components and technology, highlights critical commercial assets and players.
  • Identify commercial opportunities in the global Smart highways market by analyzing trends and co-development deals.
  • Excel data sheet with thousands of data points of global Smart highways market-level 4/5 segmentation.
  • PDF report with the most relevant analysis cogently put together after exhaustive qualitative interviews and in-depth market study.

Table of Contents

1. Smart highways Market Methodology and Scope

  • 1.1 Research Methodology
  • 1.2 Research Objective and Scope of the Report

2 Smart highways Market - Market Definition and Overview

3 Smart highways Market - Executive Summary

  • 3.1 Market Snippet by Component
  • 3.2 Market Snippet by Deployment Model
  • 3.3 Market Snippet by Technology
  • 3.4 Market Snippet by Region

4 Smart highways Market Dynamics

  • 4.1 Market Impacting Factors
    • 4.1.1 Drivers
    • 4.1.2 Restraints
    • 4.1.3 Impact Analysis
  • 4.2 Opportunity

5 Smart highways Market - Industry Analysis

  • 5.1 Porter's Five Forces Analysis
  • 5.2 Supply Chain Analysis
  • 5.3 Regulatory Analysis
  • 5.4 Pricing Analysis

6 Global Smart highways Market- COVID-19 Analysis

  • 6.1 Analysis of COVID-19 on the Market
    • 6.1.1 Before COVID-19 Market Scenario
    • 6.1.2 Present COVID-19 Market Scenario
    • 6.1.3 After COVID-19 or Future Scenario
  • 6.2 Pricing Dynamics Amid COVID-19
  • 6.3 Demand-Supply Spectrum
  • 6.4 Government Initiatives Related to the Market During Pandemic
  • 6.5 Manufacturers Strategic Initiatives
  • 6.6 Conclusion

7 Smart highways Market - By Component

  • 7.1 Introduction
    • 7.1.1 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Component
    • 7.1.2 Market Attractiveness Index, By Component
  • 7.2 Software for the Smart Highways Industry
    • 7.2.1 Introduction
    • 7.2.2 Market Size Analysis, US$ Mn, 2016-2025 and Y-o-Y Growth Analysis (%), 2018-2026
    • 7.2.3 Hardware
    • 7.2.4 Services

8 Smart highways Market - By Deployment Model

  • 8.1 Introduction
    • 8.1.1 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Technology
    • 8.1.2 Market Attractiveness Index, By Deployment Model
  • 8.2 Cloud-based
    • 8.2.1 Introduction
    • 8.2.2 Market Size Analysis, USD Mn, 2016-2025 and Y-o-Y Growth Analysis (%), 2018-2026
  • 8.3 On-Premise

9 Smart highways Market - By Technology

  • 9.1 Introduction
    • 9.1.1 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Technology
    • 9.1.2 Market Attractiveness Index, By Deployment Model
  • 9.2 Intelligent Transportation Management System
    • 9.2.1 Introduction
    • 9.2.2 Market Size Analysis, USD Mn, 2016-2025 and Y-o-Y Growth Analysis (%), 2018-2026
  • 9.3 Traffic management system
  • 9.4 Communication System
  • 9.5 Monitoring System
  • 9.6 Others

10 Smart highways Market - By Region

  • 10.1 Introduction
    • 10.1.1 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Region
    • 10.1.2 Market Attractiveness Index, By Region
  • 10.2 North America
    • 10.2.1 Introduction
    • 10.2.2 Key Region-Specific Dynamics
    • 10.2.3 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Component
    • 10.2.4 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Deployment model
    • 10.2.5 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Technology
    • 10.2.6 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Country
      • 10.2.6.1 The U.S.
      • 10.2.6.2 Canada
      • 10.2.6.3 Mexico
  • 10.3 Europe
    • 10.3.1 Introduction
    • 10.3.2 Key Region-Specific Dynamics
    • 10.3.3 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Component
    • 10.3.4 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Deployment model
    • 10.3.5 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Technology
    • 10.3.6 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Country
      • 10.3.6.1 Germany
      • 10.3.6.2 The U.K.
      • 10.3.6.3 France
      • 10.3.6.4 Rest of Europe
  • 10.4 South America
    • 10.4.1 Introduction
    • 10.4.2 Key Region-Specific Dynamics
    • 10.4.3 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Component
    • 10.4.4 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Deployment model
    • 10.4.5 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Technology
    • 10.4.6 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Country
      • 10.4.6.1 Brazil
      • 10.4.6.2 Argentina
      • 10.4.6.3 Rest of South America
  • 10.5 Asia Pacific
    • 10.5.1 Introduction
    • 10.5.2 Key Region-Specific Dynamics
    • 10.5.3 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Component
    • 10.5.4 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Deployment model
    • 10.5.5 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Technology
    • 10.5.6 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Country
      • 10.5.6.1 China
      • 10.5.6.2 India
      • 10.5.6.3 Japan
      • 10.5.6.4 Australia
      • 10.5.6.5 Rest of Asia Pacific
  • 10.6 The Middle East and Africa
    • 10.6.1 Introduction
    • 10.6.2 Key Region-Specific Dynamics
    • 10.6.3 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Component
    • 10.6.4 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Deployment model
    • 10.6.5 Market Size Analysis, and Y-o-Y Growth Analysis (%), By Technology

11 Smart highways Market Competitive Landscape

  • 11.1 Competitive Scenario
  • 11.2 Market Positioning/Share Analysis
  • 11.3 Mergers and Acquisitions Analysis

12 Smart highways Market Company Profiles

  • 12.1 Cisco System
    • 12.1.1 Company Overview
    • 12.1.2 Form Portfolio and Description
    • 12.1.3 Key Highlights
    • 12.1.4 Financial Overview
  • 12.2 Siemens AG
  • 12.3 Kapsch AG
  • 12.4 ABB Ltd
  • 12.5 Honeywell International
  • 12.6 ALE International
  • 12.7 AT&T
  • 12.8 IBM Corporation
  • 12.9 Huawei Technologies Co.
  • 12.10 LG
  • 12.11 Schneider Electric SE (*List Is Not Exhaustive)

13 Smart highways Market - Premium Insights

14 Smart highways Market - DataM

  • 14.1 Appendix
  • 14.2 About Us and Services
  • 14.3 Contact Us