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Smart Road Market Report Scope & Overview:

Smart Road Market Revenue Analysis

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The Smart Road Market size was valued at USD 17.85 billion in 2023. It is estimated to hit USD 145.34 billion by 2032 and grow at a CAGR of 26.24% over the forecast period of 2024-2032.

The growth of the electric vehicle industry, from nearly nonexistent in 2010 to 13 million sales in 2023, and the increase in on-demand, intelligent transportation systems are driving this market. There has been a surge in construction activity in the industry, with more than 1,000 new road construction firms appearing in the last five years. On average, each company has hired 58 employees and secured USD 21.8 million in funding per cycle.

The Smart Road Market is growing quickly because of the rise in urbanization and escalating worries about road safety. As urban areas grow increasingly crowded, the need for smart transportation solutions increases. Intelligent highways, with live traffic information, smart traffic control systems, and automated toll payment, present a feasible answer. The market growth is boosted by the emergence of connected and autonomous vehicles (CAVs), which depend on intelligent road infrastructure for smooth communication and navigation. The alarming statistics on road incidents in India in 2022, which involve 4, 61,312 accidents, 1, 68,491 fatalities, and 4, 43,366 injuries, underscore the urgent need for enhanced road facilities. Developments such as a system that can accurately locate vehicles within 1.3 meters at distances of up to 500 meters, created by combining high-definition cameras and millimeter-wave radar, present hopeful answers. Industry leaders in Chicago, Honolulu, and Austin have shown that the United States is leading the way in adopting smart infrastructure to transform public transportation. These efforts together push the Smart Road Market ahead, ensuring transportation systems that are safer, more efficient, and sustainable.

Market Dynamics

Drivers

  • Collaborations between the public and private sectors drive innovation in the smart road industry.

The tale of the Lincoln Highway, the first transcontinental highway in America, showcases the effectiveness of Public-Private Partnerships (P3s) in promoting infrastructure progress. Supported by private investors and promoted by the Lincoln Highway Association, this groundbreaking initiative paved the path for contemporary road transportation. In the same way, the Smart Road Market benefits from P3 partnerships. Government budgets stretched thin frequently do not have enough resources to invest in advanced infrastructure beyond basic necessities. Here, P3s close the divide, promoting creativity through uniting various parties. The potential of P3s is highlighted by the I-95 Express Lanes in Virginia. Utilizing information from more than 2,000 points per mile, this extended reversible road in the US, known as a high-tech corridor, allows for safe lane reversals. This project improves traffic flow while also acting as a test area for connected and autonomous vehicles, where Level 4 self-driving cars communicate directly with the infrastructure to increase safety. The WMATA collaborated with a private company to set up a major community solar project on top of carports near the I-95 Express Lanes, showcasing the environmental advantages possible with P3s. P3s extend further than simply constructing infrastructure. In 2016, Columbus, Ohio utilized a USD 50 million Smart Cities Challenge grant to utilize private-sector knowledge in creating a technologically advanced, interconnected city. This project included developing a specialized Technology for improved mobility, investigating self-driving transportation alternatives, and integrating power-producing facilities.

  • The Smart Road Market is being propelled by the merging of connectivity and autonomy.

The fast development of connected and autonomous vehicles (CAVs) is transforming the transportation sector, fueling the expansion of the Smart Road Market. By 2030, it is estimated that 95% of new vehicles will be linked, in contrast to the current 50% rate. The increase in connectivity, along with improvements in 5G technology and C-V2X communication, is setting the groundwork for intelligent transportation systems (ITS). Integrating ITS with CAVs offers the potential to improve road safety, streamline traffic, and alleviate congestion. There is a notable shift happening in the automotive sector, with more connected cars entering the market. The Future Vehicles 2030 report predicts that by 2030, more than 80% of new vehicles in Australia will be linked, with a significant focus on C-ITS and car maker cloud connectivity. This change involves moving from conventional fiber optic-based ITS systems to CV-based ITS systems. The second option uses data from connected vehicles to offer instant traffic updates and alerts to drivers, which helps to minimize the requirement for costly infrastructure and maintenance. With the transportation system advancing towards a more linked and self-governing future, the Smart Road Market is set to experience substantial growth, fueled by the merging of technology and infrastructure.

Restraints

  • Challenges in interoperability and regulations hinder the growth of the smart road market.

The Smart Road Market is hindered by the lack of consistent regulations and compatibility between different systems. The divided ecosystem, consisting of government agencies, private companies, and technology providers, functions with different standards and protocols, impeding the development of a cohesive smart road network. The challenges are worsened by issues with interoperability, which involve different systems communicating and sharing data seamlessly. As attempts are being made to deal with these issues, like the revised ITS Directive of November 2023 which aims to make data sharing and crucial safety services easier, and the support provided by ISO 14813-1:2015 in encouraging unity and standard data definitions, achieving a fully interconnected smart road network is still difficult. These obstacles, both regulatory and technical, significantly limit the market's expansion by hindering the effective implementation and use of smart road technologies.

  • The Smart City Challenge: Driving Innovation and Equality in the Smart Road Industry.

The Smart City Challenge by the U.S. Department of Transportation encouraged innovation and competition in American cities, receiving an impressive 78 Technologies. This effort was focused on restructuring city transportation by tackling key issues like inequity, ease of use, and differences in technology. The Smart City Challenge played a crucial role in shaping the Smart Road Market by inspiring cities to create innovative solutions that meet the needs of all residents. This competition emphasized how the market can promote positive social and economic change, showcasing the importance of inclusive and fair development of smart cities.

Segment Analysis

By Component

In 2023, hardware components dominated the Smart Road Market, accounting for 41% of the market share. This highlights the crucial role that physical infrastructure plays in the advancement and functioning of intelligent road systems. For smart roads to operate effectively in tough conditions and heavy traffic, road sensors, traffic cameras, variable message signs, and toll collection systems are necessary. Sensors located in the road or on the pavement track traffic patterns, speed of vehicles, and road surface conditions. These sensors collect crucial real-time data that is necessary for controlling traffic and ensuring safety. Kapsch TrafficCom and Sensys Networks stress the vital role of reliable physical infrastructure in enhancing intelligent transportation systems. Sophisticated road sensors, traffic cameras, variable message signs, and toll collection systems are necessary components for enabling the efficient operation of intelligent roadways.

Based on Technology, Intelligent Transportation Management System dominated the Smart Road Market with 28% of share in 2023. TMS's significance stems from their critical role in enhancing traffic conditions by utilizing advanced data analysis and real-time decision-making. By utilizing information from different sources, ITMS allow authorities to make educated choices regarding signal timing, lane configurations, and variable speed limits, ultimately improving traffic flow and road safety. Top companies such as Kapsch TrafficCom, Sensys Networks, TransCore, and Siemens Mobility are leading the way in this market by offering cutting-edge ITMS solutions that are shaping the development of intelligent road infrastructure.

Smart-Road-Market--By-Component

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Regional Analysis

North America dominated the Smart Road market with 46% of share in 2023. The reason for this dominance is credited to the region's strong infrastructure and its proactive stance on technological progress. Effective transportation systems along with a commitment to innovation have allowed North America to quickly embrace and incorporate smart road technologies. Moreover, the region's market growth is being driven by the growing need for effective transportation solutions as traffic congestion continues to rise. The well-developed transportation infrastructure in North America, comprising highways, bridges, and urban roads, offers a strong base for integrating smart road technologies. Government initiatives like the U.S. Department of Transportation's Smart City Challenge and the Canadian Smart Cities Challenge promote the advancement of smart transportation solutions.

Asia Pacific is the fastest growing in Smart Road market with 21 % of share in 2023. Rapid urbanization and population growth are driving significant demand for efficient transportation systems. Smart roads, with their capabilities in improving traffic management, alleviating congestion, and enhancing safety, present a compelling solution to these challenges. This demand positions Asia Pacific as a major growth driver in the coming years. Key companies contributing to this market include Kapsch TrafficCom, which offers intelligent transportation systems, and Siemens Mobility, known for its advanced traffic management solutions. Additionally, TransCore’s extensive range of smart transportation solutions further supports the region's market growth. These companies' innovative technologies are essential in meeting the evolving transportation needs of the rapidly urbanizing Asia Pacific, ensuring better traffic flow and improved road safety.

Smart-Road-Market--Regional-Analysis--2023

Key Players

The major key players are Indra Sistemas, Huawei, Siemens AG, Alcatel Lucent, LG CNS, Cisco, Kapsch TrafficCom, Xerox Corporation, Schneider Electric SE, International Business Machines Corporation (IBM) and Others

Recent Development

  • May 2023, Italy launches a Smart Roads 4.0 system in Taormina, aiming to link vehicles using advanced technology for improved traffic management.

  • January 2023, China unveils its first fully smart highway, a 157-kilometer stretch equipped with smart pillars that gather road data and alert drivers to traffic issues.

  • May 2022, U.K. government upgrades technology on England’s smart highways to better detect breakdowns and maintain traffic flow.

  • May 2024, Siemens Mobility launches Smart Train Lease Concept in Rolling Stock Market

Smart Road Market Report Scope:

Report Attributes Details
Market Size in 2023  USD 17.85 Billion
Market Size by 2032  USD 145.34 Billion
CAGR   CAGR of 26.24% From 2024 to 2032
Base Year 2023
Forecast Period  2024-2032
Historical Data  2020-2022
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • By Technology (Monitoring System, Intelligent Management System, Intelligent Transportation Management System, Communication System, and Others)
• By Component (Software, Hardware, and Services)
• By Deployment Mode (Cloud and On-Premise)
Regional Analysis/Coverage North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]). Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America)
Company Profiles Sistemas, Huawei, Siemens AG, Alcatel Lucent, Kapsch AG, S.A., LG CNS, Cisco, Kapsch TrafficCom, Xerox Corporation
Key Drivers
  • Collaborations between the public and private sectors drive innovation in the smart road industry.
  • The Smart Road Market is being propelled by the merging of connectivity and autonomy.
Market Restraints
  • Challenges in interoperability and regulations hinder the growth of the smart road market.
  • The Smart City Challenge Driving Innovation and Equality in the Smart Road Industry.

 

Frequently Asked Questions

Ans: The Smart Road Market was valued at USD 17.85 billion in 2023.

Ans: The expected CAGR of the global Smart Road Market during the forecast period is 26.24%.

Ans: The Hardware dominated the Smart Road Market with the highest revenue share in 2023.

Ans: North America dominated the Smart Road market with 46% of share in 2023

ANS: Yes, you can ask for the customization as pas per your business requirement

Table of Content

1. Introduction

1.1 Market Definition

1.2 Scope (Inclusion and Exclusions)

1.3 Research Assumptions

2. Executive Summary

2.1 Market Overview

2.2 Regional Synopsis

2.3 Competitive Summary

3. Research Methodology

3.1 Top-Down Approach

3.2 Bottom-up Approach

3.3. Data Validation

3.4 Primary Interviews

4. Market Dynamics Impact Analysis

4.1 Market Driving Factors Analysis

4.1.1 Drivers

4.1.2 Restraints

4.1.3 Opportunities

4.1.4 Challenges

4.2 PESTLE Analysis

4.3 Porter’s Five Forces Model

5. Statistical Insights and Trends Reporting

5.1 Production Capacity and Utilization Analysis by Region

5.2 Feedstock Prices Analysis by Region

5.3 Regulatory Impact: Effects of regulations on production and usage.

5.4 Environmental Metrics Analysis by Region

5.5 Innovation and R&D

6. Competitive Landscape

6.1 List of Major Companies, By Region

6.2 Market Share Analysis, By Region

6.3 Product Benchmarking

6.3.1 Product specifications and features

6.3.2 Pricing

6.4 Strategic Initiatives

6.4.1 Marketing and promotional activities

6.4.2 Distribution and supply chain strategies

6.4.3 Expansion plans and new product launches

6.4.4 Strategic partnerships and collaborations

6.5 Technological Advancements

6.6 Market Positioning and Branding

7. Smart Road Market Segmentation, by Component

7.1 Chapter Overview

7.2 Software

7.2.1 Software Market Trends Analysis (2020-2032)

7.2.2 Software Market Size Estimates and Forecasts to 2032 (USD Billion)

7.3 Hardware

7.3.1 Hardware Market Trends Analysis (2020-2032)

7.3.2 Hardware Market Size Estimates and Forecasts to 2032 (USD Billion)

7.4 Services

7.4.1 Services Market Trends Analysis (2020-2032)

7.4.2 Services Market Size Estimates and Forecasts to 2032 (USD Billion)

8. Smart Road Market Segmentation, by Technology 

8.1 Chapter Overview

8.2 Monitoring System

8.2.1 Monitoring System Market Trends Analysis (2020-2032)

8.2.2 Monitoring System Market Size Estimates and Forecasts to 2032 (USD Billion)

8.3 Intelligent Management System

8.3.1 Intelligent Management System Market Trends Analysis (2020-2032)

8.3.2 Intelligent Management System Market Size Estimates and Forecasts to 2032 (USD Billion)

8.4 Intelligent Transportation Management System

8.4.1 Intelligent Transportation Management System Market Trends Analysis (2020-2032)

8.4.2 Intelligent Transportation Management System Market Size Estimates and Forecasts to 2032 (USD Billion)

8.5 Communication System

8.5.1 Communication System Market Trends Analysis (2020-2032)

8.5.2 Communication System Market Size Estimates and Forecasts to 2032 (USD Billion)

8.6 Others

8.6.1 Others Market Trends Analysis (2020-2032)

8.6.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)

9. Smart Road Market Segmentation, by Deployment Mode

9.1 Chapter Overview

9.2 Cloud

9.2.1 Cloud Market Trends Analysis (2020-2032)

9.2.2 Cloud Market Size Estimates and Forecasts to 2032 (USD Billion)

9.3 On-Premise

9.3.1 on-Premise Market Trends Analysis (2020-2032)

9.3.2 on-Premise Market Size Estimates and Forecasts to 2032 (USD Billion)

10. Regional Analysis

10.1 Chapter Overview

10.2 North America

10.2.1 Trends Analysis

10.2.2 North America Smart Road   Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)

10.2.3 North America Smart Road   Market Estimates and Forecasts, by Component (2020-2032) (USD Billion) 

10.2.4 North America Smart Road   Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.2.5 North America Smart Road   Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.2.5 USA

10.2.5.1 USA Smart Road   Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.2.5.2 USA Smart Road   Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.2.5.3 USA Smart Road   Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.2.6 Canada

10.2.6.1 Canada Smart Road   Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.2.6.2 Canada Smart Road   Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.2.7 Mexico

10.2.7.1 Mexico Smart Road   Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.2.7.2 Mexico Smart Road   Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.2.7.3 Mexico Smart Road   Market Estimates and Forecasts, by Deployment Mode  (2020-2032) (USD Billion)

10.3 Europe

10.3.1 Eastern Europe

10.3.1.1 Trends Analysis

10.3.1.2 Eastern Europe Smart Road   Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)

10.3.1.3 Eastern Europe Smart Road   Market Estimates and Forecasts, by Component (2020-2032) (USD Billion) 

10.3.1.4 Eastern Europe Smart Road   Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.3.1.5 Eastern Europe Smart Road   Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.3.1.5 Poland

10.3.1.5.1 Poland Smart Road   Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.3.1.5.2 Poland Smart Road   Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.3.1.5.3 Poland Smart Road   Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.3.1.6 Romania

10.3.1.6.1 Romania Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.3.1.6.2 Romania Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.3.1.6.3 Romania Smart Road Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.3.1.7 Hungary

10.3.1.7.1 Hungary Smart Road   Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.3.1.7.2 Hungary Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.3.1.7.3 Hungary Smart Road   Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.3.1.8 Turkey

10.3.1.8.1 Turkey Smart Road   Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.3.1.8.2 Turkey Smart Road   Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.3.1.8.3 Turkey Smart Road Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.3.1.9 Rest of Eastern Europe

10.3.1.9.1 Rest of Eastern Europe Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.3.1.9.2 Rest of Eastern Europe Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.3.1.9.3 Rest of Eastern Europe Smart Road   Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.3.2 Western Europe

10.3.2.1 Trends Analysis

10.3.2.2 Western Europe Smart Road   Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)

10.3.2.3 Western Europe Smart Road   Market Estimates and Forecasts, by Component (2020-2032) (USD Billion) 

10.3.2.4 Western Europe Smart Road   Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.3.2.5 Western Europe Smart Road   Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.3.2.5 Germany

10.3.2.5.1 Germany Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.3.2.5.2 Germany Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.3.2.5.3 Germany Smart Road Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.3.2.6 France

10.3.2.6.1 France Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.3.2.6.2 France Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.3.2.6.3 France Smart Road   Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.3.2.7 UK

10.3.2.7.1 UK Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.3.2.7.2 UK Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.3.2.7.3 UK Smart Road   Market Estimates and Forecasts, by Deployment Mode    (2020-2032) (USD Billion)

10.3.2.8 Italy

10.3.2.8.1 Italy Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.3.2.8.2 Italy Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.3.2.8.3 Italy Smart Road Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.3.2.9 Spain

10.3.2.9.1 Spain Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.3.2.9.2 Spain Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.3.2.9.3 Spain Smart Road Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.3.2.10 Netherlands

10.3.2.10.1 Netherlands Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.3.2.10.2 Netherlands Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.3.2.10.3 Netherlands Smart Road Market Estimates and Forecasts, by Deployment Mode   (2020-2032) (USD Billion)

10.3.2.11 Switzerland

10.3.2.11.1 Switzerland Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.3.2.11.2 Switzerland Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.3.2.11.3 Switzerland Smart Road Market Estimates and Forecasts, by Deployment Mode   (2020-2032) (USD Billion)

10.3.2.12 Austria

10.3.2.12.1 Austria Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.3.2.12.2 Austria Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.3.2.12.3 Austria Smart Road Market Estimates and Forecasts, by Deployment Mode   (2020-2032) (USD Billion)

10.3.2.13 Rest of Western Europe

10.3.2.13.1 Rest of Western Europe Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.3.2.13.2 Rest of Western Europe Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.3.2.13.3 Rest of Western Europe Smart Road Market Estimates and Forecasts, by Deployment Mode   (2020-2032) (USD Billion)

10.4 Asia Pacific

10.4.1 Trends Analysis

10.4.2 Asia Pacific Smart Road Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)

10.4.3 Asia Pacific Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion) 

10.4.4 Asia Pacific Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.4.5 Asia Pacific Smart Road Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.4.5 China

10.4.5.1 China Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.4.5.2 China Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.4.5.3 China Smart Road Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.4.6 India

10.4.6.1 India Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.4.6.2 India Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.4.6.3 India Smart Road Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.4.7 Japan

10.4.7.1 Japan Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.4.7.2 Japan Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.4.7.3 Japan Smart Road Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.4.8 South Korea

10.4.8.1 South Korea Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.4.8.2 South Korea Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.4.8.3 South Korea Smart Road Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.4.9 Vietnam

10.4.9.1 Vietnam Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.2.9.2 Vietnam Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.2.9.3 Vietnam Smart Road Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.4.10 Singapore

10.4.10.1 Singapore Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.4.10.2 Singapore Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.4.10.3 Singapore Smart Road Market Estimates and Forecasts, by Deployment Mode   (2020-2032) (USD Billion)

10.4.11 Australia

10.4.11.1 Australia Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.4.11.2 Australia Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.4.11.3 Australia Smart Road Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.4.12 Rest of Asia Pacific

10.4.12.1 Rest of Asia Pacific Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.4.12.2 Rest of Asia Pacific Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.4.12.3 Rest of Asia Pacific Smart Road Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.5 Middle East and Africa

10.5.1 Middle East

10.5.1.1 Trends Analysis

10.5.1.2 Middle East Smart Road Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)

10.5.1.3 Middle East Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion) 

10.5.1.4 Middle East Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.5.1.5 Middle East Smart Road Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.5.1.5 UAE

10.5.1.5.1 UAE Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.5.1.5.2 UAE Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.5.1.5.3 UAE Smart Road Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.5.1.6 Egypt

10.5.1.6.1 Egypt Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.5.1.6.2 Egypt Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.5.1.6.3 Egypt Smart Road Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.5.1.7 Saudi Arabia

10.5.1.7.1 Saudi Arabia Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.5.1.7.2 Saudi Arabia Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.5.1.7.3 Saudi Arabia Smart Road Market Estimates and Forecasts, by Deployment Mode   (2020-2032) (USD Billion)

10.5.1.8 Qatar

10.5.1.8.1 Qatar Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.5.1.8.2 Qatar Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.5.1.8.3 Qatar Smart Road Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.5.1.9 Rest of Middle East

10.5.1.9.1 Rest of Middle East Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.5.1.9.2 Rest of Middle East Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.5.1.9.3 Rest of Middle East Smart Road Market Estimates and Forecasts, by Deployment Mode   (2020-2032) (USD Billion)

10.5.2 Africa

10.5.2.1 Trends Analysis

10.5.2.2 Africa Smart Road Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)

10.5.2.3 Africa Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion) 

10.5.2.4 Africa Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.5.2.5 Africa Smart Road Market Estimates and Forecasts, by Deployment Mode   (2020-2032) (USD Billion)

10.5.2.5 South Africa

10.5.2.5.1 South Africa Smart Road   Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.5.2.5.2 South Africa Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.5.2.5.3 South Africa Smart Road Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.5.2.6 Nigeria

10.5.2.6.1 Nigeria Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.5.2.6.2 Nigeria Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.5.2.6.3 Nigeria Smart Road  Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.5.2.7 Rest of Africa

10.5.2.7.1 Rest of Africa Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.5.2.7.2 Rest of Africa Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.5.2.7.3 Rest of Africa Smart Road Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.6 Latin America

10.6.1 Trends Analysis

10.6.2 Latin America Smart Road Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)

10.6.3 Latin America Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion) 

10.6.4 Latin America Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.6.5 Latin America Smart Road   Market Estimates and Forecasts, by Deployment Mode   (2020-2032) (USD Billion)

10.6.5 Brazil

10.6.5.1 Brazil Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.6.5.2 Brazil Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.6.5.3 Brazil Smart Road Market Estimates and Forecasts, by Deployment Mode     (2020-2032) (USD Billion)

10.6.6 Argentina

10.6.6.1 Argentina Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.6.6.2 Argentina Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.6.6.3 Argentina Smart Road Market Estimates and Forecasts, by Deployment Mode        (2020-2032) (USD Billion)

10.6.7 Colombia

10.6.7.1 Colombia Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.6.7.2 Colombia Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.6.7.3 Colombia Smart Road   Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

10.6.8 Rest of Latin America

10.6.8.1 Rest of Latin America Smart Road Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)

10.6.8.2 Rest of Latin America Smart Road Market Estimates and Forecasts, by Technology   (2020-2032) (USD Billion)

10.6.8.3 Rest of Latin America Smart Road Market Estimates and Forecasts, by Deployment Mode (2020-2032) (USD Billion)

11. Company Profiles

11.1 Indra Sistemas

11.1.1 Company Overview

11.1.2 Financial

11.1.3 Products/ Services Offered

11.1.4 SWOT Analysis

11.2 Huawei

11.2.1 Company Overview

11.2.2 Financial

11.2.3 Products/ Services Offered

11.2.4 SWOT Analysis

11.3 Siemens AG

11.3.1 Company Overview

11.3.2 Financial

11.3.3 Products/ Services Offered

11.3.4 SWOT Analysis

11.4 Alcatel Lucent

11.4.1 Company Overview

11.4.2 Financial

11.4.3 Products/ Services Offered

11.4.4 SWOT Analysis

11.5 LG CNS

11.5.1 Company Overview

11.5.2 Financial

11.5.3 Products/ Services Offered

11.5.4 SWOT Analysis

11.6 Cisco

11.6.1 Company Overview

11.6.2 Financial

11.6.3 Products/ Services Offered

11.6.4 SWOT Analysis

11.7 Kapsch TrafficCom

11.7.1 Company Overview

11.7.2 Financial

11.7.3 Products/ Services Offered

11.7.4 SWOT Analysis

11.8 Xerox Corporation

11.8.1 Company Overview

11.8.2 Financial

11.8.3 Products/ Services Offered

11.8.4 SWOT Analysis

11.9 Schneider Electric SE

11.9.1 Company Overview

11.9.2 Financial

11.9.3 Products/ Services Offered

11.9.4 SWOT Analysis

11.10 International Business Machines Corporation (IBM)

11.10.1 Company Overview

11.10.2 Financial

11.10.3 Products/ Services Offered

11.10.4 SWOT Analysis

12. Use Cases and Best Practices

13. Conclusion

An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.

Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.

 

The 5 steps process:

Step 1: Secondary Research:

Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.

Secondary Research

Step 2: Primary Research

When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data.  This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.

We at SNS Insider have divided Primary Research into 2 parts.

Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.

This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.

Primary Research

Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.

Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.

Step 3: Data Bank Validation

Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.

Data Bank Validation

Step 4: QA/QC Process

After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.

Step 5: Final QC/QA Process:

This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.

Key Segments:

By Component 

  • Software

  • Hardware

  • Services

By Technology

  • Monitoring System

  • Intelligent Management System

  • Intelligent Transportation Management System

  • Communication System

  • Others

By Deployment Mode

  • Cloud

  • On-Premise

Request for Segment Customization as per your Business Requirement: Segment Customization Request

REGIONAL COVERAGE:

North America

  • US

  • Canada

  • Mexico

Europe

  • Eastern Europe

    • Poland

    • Romania

    • Hungary

    • Turkey

    • Rest of Eastern Europe

  • Western Europe

    • Germany

    • France

    • UK

    • Italy

    • Spain

    • Netherlands

    • Switzerland

    • Austria

    • Rest of Western Europe

Asia Pacific

  • China

  • India

  • Japan

  • South Korea

  • Vietnam

  • Singapore

  • Australia

  • Rest of Asia Pacific

Middle East & Africa

  • Middle East

    • UAE

    • Egypt

    • Saudi Arabia

    • Qatar

    • Rest of the Middle East

  • Africa

    • Nigeria

    • South Africa

    • Rest of Africa

Latin America

  • Brazil

  • Argentina

  • Colombia

Request for Country Level Research Report: Country Level Customization Request

Available Customization

With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:

  • Product Analysis

  • Criss-Cross segment analysis (e.g. Product X Application)

  • Product Matrix which gives a detailed comparison of product portfolio of each company

  • Geographic Analysis

  • Additional countries in any of the regions

  • Company Information

  • Detailed analysis and profiling of additional market players (Up to five)


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