Smart Transportation Market Projection By Key players – Siemens, IBM, Cisco Systems, GE Transportation, Xerox Corporation, Cubic Corporation, Thales S.A.,Kapsch AG and Alstom SA. Forecast Till 2028

Smart Transportation Market 2021 - 2028

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Summary:
The global smart transportation market size was valued at $63,667 million in 2015, and is projected to reach $237,701 million by 2022, growing at a CAGR of 18.6% from 2016 to 2022. Smart transport or intelligent transport system (ITS) is an advanced transportation infrastructure that aims to provide innovative services for traffic and transport management systems. This transport also enables various users to be more coordinated, better informed, and make safer and smarter use of transport networks. Smart transportation is applicable in parking management & guidance, passenger information, and traffic management.
The smart transportation market growth is driven by the time-and fuel-saving ability of this infrastructure. Supportive government initiatives, such as the EU Directive on ITS, passed on July 7, 2010, to manage road traffic efficiently, play a major role in promoting the growth of global smart transportation market. In addition, smart transportation systems can provide better safety and security by integrating intelligent communication systems in the infrastructure, thus, supplementing the smart transportation industry growth. ITS also encourages the development and promotion of substitute green fuels such as natural gas and biodiesel. However, the need for high capital investment, owing to the complete restoration of the existing transport system, and large database requirement of road network, which may not be possible in developing nations, restrain market size.

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Key Market Segments
By Solution
TICKETING MANAGEMENT SYSTEM
Parking Management & Guidance System
Integrated Supervision System
Traffic Management System
By Service
CLOUD SERVICES
BUSINESS SERVICES
PROFESSIONAL SERVICES
By Geography
North America
Europe
Asia-Pacific
LAMEA
The smart transportation market segmentation is based on services, solutions and geography. By service the global market is further segmented into business services, professional services, and cloud services. While solution segment includes ticketing management system, parking management and guidance system, integrated supervision system, traffic management system.
The geographic segmentation of smart transportation market is bifurcated as following: North America bifurcated into the U.S. and Canada whereas Europe has been further segmented into U.K., Germany, France and Rest of the Europe. The countries covered under Asia-Pacific are China, India, Japan, and Rest of Asia Pacific. LAMEA includes Latin America, Middle East and Africa.
Major key players for smart transportation market share are Siemens, IBM, Cisco Systems, GE Transportation, Xerox Corporation, Cubic Corporation, Thales S.A.,Kapsch AG and Alstom SA.

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Table Of Content:
1 Report Overview
2 Global Growth Trends
3 Competition Landscape by Key Players
4 Market Size by Type (2015-2026)
5 Market Size by Application (2015-2026)
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13 Key Players Profiles
14 Analyst's Viewpoints/Conclusions
15 Appendix

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Major Highlights of the Smart Transportation Market Report:
• The Smart Transportation Market analysis report offers an in-depth study of the potential market growth opportunities and challenges.
• The report dives deeper into the market and explains the dynamic factors bolstering market growth.
• The report deeply assesses the current, historical market size, market share, and revenue growth rates to offer accurate market projections for the forecast period.
• The report analyzes the Smart Transportation Market presence across major regions of the world.
• It determines the production & consumption capacities and demand & supply dynamics of each regional market.
• The report further illustrates the intense competition among the key market players and highlights their effective business expansion plans and strategies.
• It provides company overview and SWOT analysis of each of the market players.

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