Global Intelligent Road Systems Market Research Report – Forecast to 2027

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The intelligent road system is the tested route to mitigate the traffic congestion problem. It is an application that is designed to provide customized solutions to improve the transportation system.

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Description

The intelligent road system is the tested route to mitigate the traffic congestion problem. It is an application that is designed to provide customized solutions to improve the transportation system. The major objective of this system is to evaluate, develop, analyze and integrate new technologies and concept to achieve the traffic efficiency. Intelligent road system is a computerized system with diverse applications connected with vehicle transportation, and provides live feeds with the help of sophisticated sensors of smartphone and the equipment is installed along roadside that includes cameras mounted on the traffic poles.
Intelligent road system market is growing at a rapid pace. Increasing concern about traffic congestion is one to the major market driver for the growth of intelligent road system market. In the current scenario people are more concerned about convenient, reliable and affordable travelling option. Intelligent road system helps to guide travelers in real time on daily basis, helping in avoidance of congestion. The study indicates that increasing need of road safety improvements is driving the intelligent road system market. Intelligent road systems use technology that enable government organizations and private users to keep transportation systems performing as efficiently and as safely as possible. Therefore increasing government initiatives are responsible for the growth of market during the forecast period.
The global intelligent road systems market had been valued at USD 25 billion in the year 2016, which is expected to reach USD 48 billion by the end of the forecast period; growing at ~ 11% CAGR.

Key Players
The key players in global intelligent road system market include Ricardo plc, TomTom International BV, Siemen AG, WS Atkins PLC, Kapsch Trafficcom, Q-Free ASA, EFKON AG, Iteris Inc., Lanner Electronics Inc., and Roper Technologies Inc..

Global Intelligent Road Systems Market Analysis & Forecast, from 2016 to 2022
• To provide detailed analysis of the market structure along with forecast for the next 10 years of the various segments and sub-segments included in global Intelligent road systems market with analysis of its development and demand in the market
• Upcoming technologies, high growth geographies and countries were identified
• Regional and country specific demand and forecast for intelligent road systems were studied
• Key segments covered in the report are global intelligent road systems by type, by application and sub-segments
• Unit breakdown for all different classification was finalized; and same was referred for forecasting, keeping few assumptions into factor
• For all the regions, forecast demand for all applications were identified and then with historical figure, data collected through primary and annual reports were triangulated to derive the regional market size
• Historical trend is identified to forecast and estimate the future value data

Target Audience
Intelligent transportation system providers
• Network providers
• Software providers
• Navigation and GPS manufacturers
• Research & consultancy
• Government
• Technology investors
Key Findings
• On the basis of manufacturers, with respect to value analysis, Siemen AG accounts for largest market share in the year 2016.
• On the basis of types, with respect to value analysis, the computational technology accounts for the largest market share and is growing at 13.85% CAGR, approximately, during forecast period.
• On the basis of applications, with respect to value analysis the emergency vehicle notification system holds the largest market growing at 15.61% CAGR, approximately, by the end of forecast period.
• Geographically, North America has been projected to have the largest market share in global intelligent road systems market throughout the forecast period.

Regional and Country Analysis of Intelligent road systems Market Estimation and Forecast
The global intelligent road systems market is expected to grow at a promising rate during the forecast period, 2016-2022. Asia-Pacific is expected to be the fastest growing market due to the efforts taken for improving the performance of overall transportation system.
The report also cover country level analysis:
• North America
• Europe
• Asia – Pacific
o China
o India
o Japan
o Southeast Asia
o Rest of Asia-Pacific
• Rest of the World

1 Intelligent Road System Market Overview
1.1 Product Overview and Scope of Intelligent Road Systems
1.2 Intelligent Road System Segment by Types
1.2.1 Global Production Market Share of Intelligent Road Systems by Types in 2016
1.2.2 Wireless Communication
1.2.3 Computational Technologies
1.2.4 Floating Car Data/ Floating Cellular Data
1.2.5 Sensing Technologies
1.2.6 Others
1.3 Intelligent Road System Segment by Applications
1.3.1 Intelligent Road Systems Consumption Market by Applications in 2016
1.3.2 Emergency Vehicle Notification Systems
1.3.3 Automatic Road Enforcement
1.3.4 Variable Speed Limits
1.3.5 Collision Avoidance Systems
1.3.6 Others
1.4 Intelligent Road System Segment by Regions
1.4.1 North America Status and Prospect (2012-2022)
1.4.2 China Status and Prospects (2012-2022)
1.4.3 Europe Status and Prospects (2012-2022)
1.4.4 Japan Status and Prospects (2012-2022)
1.4.5 Southeast Asia Status and Prospects (2012-2022)
1.4.6 India Status and Prospects (2012-2022)
1.5 Intelligent Road System Segment by Regions
2 Global Intelligent Road Systems Market Competition, By Manufacturers
2.1 Global Intelligent Road Systems Revenue and Share by Manufacturers (2016 and 2017)
2.2 Manufacturers Intelligent Road Systems Manufacturing Base Distribution, Sales Area, Product Types
2.2.1 Intelligent Road Systems Market Share of Top 3 and Top 5 Manufacturers
2.2.2 Merges & Acquisitions, Expansion
3 Global Intelligent Road Systems Production, Revenue (Value), By Region (2012-2017)
3.1 Global Intelligent Road Systems Production by Region (2012-2017)
3.2 Global Intelligent Road Systems Revenue (Value) and Markey Share by Region (2012-2017)
3.3 Global Intelligent Road Systems Production, and Revenue, (2012-2017)
3.4 North America Intelligent Road Systems Production and Revenue (2012-2017)
3.5 Europe Intelligent Road Systems Production and Revenue (2012-2017)
3.6 China Intelligent Road Systems Production, Revenue and Price (2012-2017)
3.7 Japan Intelligent Road Systems Production and Revenue (2012-2017)
3.8 Southeast Asia Intelligent Road Systems Production and Revenue (2012-2017)
3.9 India Intelligent Road Systems Production and Revenue (2012-2017)
4 Global Intelligent Road Systems Supply (Production), Consumption, Export, Import, By Region (2012-2017)
4.1 Global Intelligent Road Systems Consumption by Region (2012-2017)
4.2 North America Intelligent Road Systems Production, Consumption, Export, Import by Region (2012-2017)
4.3 Europe Intelligent Road Systems Production, Consumption, Export, Import by Region (2012-2017)
4.4 China Intelligent Road Systems Production, Consumption, Export, Import by Region (2012-2017)
4.5 Japan Intelligent Road Systems Production, Consumption, Export, Import by Region (2012-2017)
4.6 Southeast Asia Intelligent Road Systems Production, Consumption, Export, Import by Region (2012-2017)
4.7 India Intelligent Road Systems Production, Consumption, Export, Import by Region (2012-2017)
5 Global Intelligent Road Systems Production and Revenue (Value), By Types
5.1 Global Intelligent Road Systems Production and Market Share by Types (2012-2017)
5.2 Global Intelligent Road Systems Revenue and Market Share by Types (2012-2017)
5.3 Global Intelligent Road Systems Production Growth by Types (2013-2017)
6 Global Intelligent Road Systems Market Analysis, By Application
6.1 Global Intelligent Road Systems Consumption and Market Share by Applications (2012-2017)
6.2 Global Intelligent Road Systems Consumption Revenue Growth Rate by Applications (2012-2017)
6.3 Market Drivers and Opportunities
6.3.1 Drivers
6.3.1.1 Increasing Concern about Traffic Congestion
6.3.1.2 Increasing Need of Road Safety Improvements
6.3.1.3 Increasing Government Initiative
6.3.1.4 Shifting of Freight Industry from Unorganized to Organized Sector
6.3.2 Opportunities
6.3.2.1 Successful Implementation of Connected Cars Technology Opening Doors for the Intelligent Road System
6.3.2.2 Increasing Demand of Intelligent Road System will show the Significant Growth in Wireless Application that (includes device and application)
6.3.2.3 Implementation of Intelligent Road System helps for Smarter Mapping for Making Important Decision
6.3.2.4 Potential Application
6.3.2.5 Emerging Market/ Countries
7 Global Intelligent Road Systems Manufacturers Profile/Analysis
7.1 Ricardo PLC
7.1.1 Company Basic Information, Manufacturing Base, Sales Area and Its Competitors
7.1.2 Intelligent Road Systems Product Types, Application and Specification
7.1.2.1 Wireless Communication
7.1.2.2 Computational Technologies
7.1.3 Ricardo PLC Intelligent Road Systems Production, Revenue, Price and Gross Margin (2016 and 2017)
7.1.4 Main Business / Business Overview
7.2 EFKON AG
7.2.1 Company Basic Information, Manufacturing Base, Sales Area and Its Competitors
7.2.2 Intelligent Road Systems Product Types, Application and Specification
7.2.2.1 Wireless Communication
7.2.2.2 Computational Technologies
7.2.2.3 Main Business / Business Overview
7.3 TOMtom International BV
7.3.1 Company Basic Information, manufacturing Base, Sales Area and Its Competitors
7.3.2 Intelligent Road Systems Product Types, Application and Specification
7.3.2.1 Wireless Communication
7.3.2.2 Computational Technologies
7.3.3 TOMtom International BV Intelligent Road Systems Production, Revenue, Price and Gross Margin (2016 and 2017)
7.3.4 Main Business / Business Overview
7.4 Iteris, Inc.
7.4.1 Company Basic Information, manufacturing Base, Sales Area and Its Competitors
7.4.2 Intelligent Road Systems Product Types, Application and Specification
7.4.2.1 Wireless Communication
7.4.2.2 Computational Technologies
7.4.3 Iteris, Inc. Intelligent Road Systems Production, Revenue, Price and Gross Margin (2016 and 2017)
7.4.4 Main Business / Business Overview
7.5 Lanner Electronic Inc.
7.5.1 Company Basic Information, manufacturing Base, Sales Area and Its Competitors
7.5.2 Intelligent Road Systems Product Types, Application and Specification
7.5.2.1 Wireless Communication
7.5.2.2 Computational Technologies
7.5.3 Lanner Electronic Inc. Intelligent Road Systems Production, Revenue, Price and Gross Margin (2016 and 2017)
7.5.4 Main Business / Business Overview
7.6 Siemens AG
7.6.1 Company Basic Information, Manufacturing Base, Sales Area and Its Competitors
7.6.2 Intelligent Road Systems Product Types, Application and Specification
7.6.2.1 Wireless Communication
7.6.2.2 Computational Technologies
7.6.3 Siemens AG Intelligent Road Systems Production, Revenue, Price and Gross Margin (2016 and 2017)
7.6.4 Main Business / Business Overview
7.7 WS Atkins PLC
7.7.1 Company Basic Information, manufacturing Base, Sales Area and Its Competitors
7.7.2 Intelligent Road Systems Product Types, Application and Specification
7.7.2.1 Wireless Communication
7.7.2.2 Computational Technologies
7.7.3 WS Atkins PLC Intelligent Road Systems Production, Revenue, Price and Gross Margin (2016 and 2017)
7.7.4 Main Business / Business Overview
7.8 Kapsch Trafficcom
7.8.1 Company Basic Information, manufacturing Base, Sales Area and Its Competitors
7.8.2 Intelligent Road Systems Product Types, Application and Specification
7.8.2.1 Wireless Communication
7.8.2.2 Computational Technologies
7.8.3 Kapsch Trafficcom Intelligent Road Systems Production, Revenue, Price and Gross Margin (2016 and 2017)
7.8.4 Main Business / Business Overview
7.9 Q-Free ASA
7.9.1 Company Basic Information, manufacturing Base, Sales Area and Its Competitors
7.9.2 Intelligent Road Systems Product Types, Application and Specification
7.9.2.1 Wireless Communication
7.9.2.2 Computational Technologies
7.9.3 Q-Free ASA Intelligent Road Systems Production, Revenue, Price and Gross Margin (2016 and 2017)
7.9.4 Main Business / Business Overview
7.10 Roper Technologies, Inc, (Subsidiary: Transcore Inc.)
7.10.1 Company Basic Information, manufacturing Base, Sales Area and Its Competitors
7.10.2 Intelligent Road Systems Product Types, Application and Specification
7.10.2.1 Wireless Communication
7.10.2.2 Computational Technologies
7.10.3 Roper Technologies Inc. Intelligent Road Systems Production, Revenue, Price and Gross Margin (2016 and 2017)
7.10.4 Main Business / Business Overview
8 Intelligent Road Systems Manufacturing Cost Analysis
8.1 Intelligent Road Systems Key Raw Material Analysis
8.1.1 Key Raw Materials
8.1.2 Price Trends of Key Raw Materials
8.1.3 Market Concentration Rate of Raw Materials
8.2 Intelligent Road Systems Key Raw Material Analysis
8.2.1 Raw Materials
8.2.2 Labor Cost
8.2.3 Manufacturing Expenses
8.3 Manufacturing Process Analysis of Intelligent Road Systems
9 Industrial Chain, Sourcing Strategy and Downstream Buyers
9.1 Intelligent Road Systems Industrial Chain Analysis
9.2 Upstream Raw Material Sourcing
9.3 Raw Material Sources of Intelligent Road Systems Major Manufacturers in 2016
9.4 Downstream Buyers
10 Marketing Strategy Analysis, Distributors/Traders
10.1 Marketing Channel
10.1.1 Direct Marketing
10.1.2 Indirect Marketing
10.1.3 Marketing Channel Development Trend
10.2 Marketing Positioning
10.2.1 Pricing Strategy
10.2.2 Brand Strategy
10.2.3 Target Client
10.3 Distributors / Trader List
11 Market Effect Factors Analysis
11.1 Technology Progress/ Risk
11.1.1 Substitute Threat
11.1.2 Technology Progress in Related Industry
11.2 Consumer Needs/ Consumer Preference Change
11.3 Economic/ Political Environment Change
12 Global Intelligent Road Systems Market Forecast (2017-2022)
12.1 Global Intelligent Road Systems Production, Revenue Forecast (2017-2022)
12.2 Global Intelligent Road Systems Production, Consumption Forecast by Region (2017-2022)
12.3 Global Intelligent Road Systems Production Forecast by Types (2017-2022)
12.4 Global Intelligent Road Systems Consumption Forecast by Application (2017-2022)
13 Research Finding and Conclusion
14 Appendix
14.1 Discussion Blue Print

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