Press release
Thailand and Philippines Tolling & City Congestion Market - Growth & Industry Revenue By Top Key Players Efkon GmbH, Toshiba Corporation, Raytheon, Thales Group, Siemens AG, Kapsch, Conduent (Xerox Corporation), Cubic Transportation, Alstom, GE transporta
The Thailand and Philippines tolling & city congestion market was valued at $381.1 million in 2017, and is projected to reach $1,474.7 million by 2025, registering a CAGR of 18.6% from 2018 to 2025.The tolling system is an automated mechanism, which helps reduce the delay on toll bridges, toll roads, and toll tunnels without human intervention for toll receivers and payers. It can electronically charge a toll to an established customer account through real-time tracking and monitoring system. The latest innovation in tolling system is the electronic toll collection (ETC) that allows vehicles to pass through a toll facility without stopping at the toll center. This tolling system uses technologies such as radio-frequency identification (RFID), dedicated short-range communication (DSRC), infrared, global navigation satellite system (GNSS)/global positioning system (GPS), and video analytics, for its operation.
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Traffic management systems are commonly known as intelligent transportation systems (ITS). These are superior applications, which aim to provide innovative services in different modes of transport and traffic management. It helps increase coordination among various users and enables them to stay better informed and make safer and 'smarter' use of transport networks. Smart transportation has various types of applications such as parking management & guidance, passenger information, and in traffic management.
Factors such as rise in demand for efficient traffic management solutions, increase in number of vehicles, and reduction in environmental pollution are major factors driving the adoption of tolling & city congestion systems.
However, high capital investment for transportation & tolling system, large database requirement for road & tolling network, and low acceptance ratio are the major restraining factors for this market. Furthermore, rise in investments in the idea of smart cities and innovation of smart signal offer lucrative opportunities for the Thailand and Philippines tolling & city congestion market.
The key players operating in the Thailand and Philippines tolling & city congestion market are Efkon GmbH, Toshiba Corporation, Raytheon, Thales Group, Siemens AG, Kapsch, Conduent (Xerox Corporation), Cubic Transportation, Alstom, GE transportation.
The key factors that drive the growth of the Thailand and Philippines tolling & city congestion industry are rise in demand for effective traffic management solutions, increase in number of vehicles, and reduction in environmental pollution. However, high initial capital investment for transportation & tolling system, large database requirement for road & tolling network and loss in jobs owing to the advanced automatic tolling system hamper the growth of the market to a certain extent. The market witnessed significant growth owing to investments in the idea of smart cities, innovation of smart traffic signal, and emergence of internet of things (IoT). Each of these factors is anticipated to have a definite impact on the Thailand and Philippines tolling & city congestion market during the forecast period.
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Increase in number of vehicles leads to traffic congestion, if conventional traffic management systems are used. For instance, Los Angeles is the most congested city in the world where citizens spend on an average 102 hours in traffic during peak hours, which is followed by San Francisco, Moscow, and others. Moreover, in Asia-Pacific region, the major cities that face high traffic congestion include Dhaka, New Delhi, and Mumbai. Thus, the demand for smart transportation network is on the rise, which is expected to help in reducing traffic congestion and thus, enhance the safety, sustainability, and efficiency of the transportation network.
In many developed or developing countries, rise in disposable incomes results in a rapid increase in the sale of vehicles. This increase in adoption of vehicles leads to problems such as car parking space issue along with traffic snarls and congestion. For instance, the problem related to traffic in Amsterdam was solved by implementing TrafficLink SCM system that is connected to the traffic system of the national government. Furthermore, TrafficLinks SCM system resolved the conflict between North Holland and the national government by optimizing efficient traffic flow. It was achieved by initializing a single screen that allows both the parties to manage or monitor traffic in their respective region.
LIST OF FIGURES
FIGURE 01.KEY MARKET SEGMENTS
FIGURE 02.TOP IMPACTING FACTORS
FIGURE 03.TOP INVESTMENT POCKETS
FIGURE 04.TOP WINNING STRATEGIES, BY YEAR, 2016-2018*
FIGURE 05.TOP WINNING STRATEGIES, BY YEAR, 2016-2018*
FIGURE 06.TOP WINNING STRATEGIES, BY COMPANY, 20162018*
FIGURE 07.MODERATE-TO-HIGH BARGAINING POWER OF SUPPLIERS
FIGURE 08.MODERATE-TO-HIGH THREAT OF NEW ENTRANTS
FIGURE 09.MODERATE THREAT OF SUBSTITUTES
FIGURE 10.HIGH-TO-MODERATE INTENSITY OF RIVALRY
FIGURE 11.HIGH-TO-MODERATE BARGAINING POWER OF BUYERS
FIGURE 12.MARKET SHARE ANALYSIS (2017)
FIGURE 13.THAILAND AND PHILIPPINES TOLLING & CITY CONGESTION MARKET SHARE, BY PRODUCT TYPE, 2017-2025 (%)
FIGURE 14.COMPARATIVE SHARE ANALYSIS OF THAILAND AND PHILIPPINES TOLLING & CITY CONGESTION MARKET FOR ELECTRONIC TOLLING, BY COUNTRY, 2017 & 2025 (%)
FIGURE 15.COMPARATIVE SHARE ANALYSIS OF THAILAND AND PHILIPPINES TOLLING & CITY CONGESTION MARKET FOR ATMS, BY COUNTRY, 2017 & 2025 (%)
FIGURE 16.COMPARATIVE SHARE ANALYSIS OF THAILAND AND PHILIPPINES TOLLING & CITY CONGESTION MARKETFOR UTM, BY COUNTRY, 2017 & 2025 (%)
FIGURE 17.THAILAND TOLLING & CITY CONGESTION MARKET, 2017-2025 ($MILLION)
FIGURE 18.THAILAND ELECTRONIC TOLLING MARKET, 2017-2025 ($MILLION)
FIGURE 19.THAILAND ATMS MARKET, 2017-2025 ($MILLION)
FIGURE 20.THAILAND UTM MARKET, 2017-2025 ($MILLION)
FIGURE 21.PHILIPPINES THAILAND AND PHILIPPINES TOLLING & CITY CONGESTIONMARKET, 2017-2025 ($MILLION)
FIGURE 22.PHILIPPINES ELECTRONIC TOLLING MARKET, 2017-2025 ($MILLION)
FIGURE 23.PHILIPPINES ATMS MARKET, 2017-2025 ($MILLION)
FIGURE 24.PHILIPPINES UTM MARKET, 2017-2025 ($MILLION)
FIGURE 25.ALSTOM: NET SALES, 2015-2017 ($MILLION)
FIGURE 26.ALSTOM: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 27.ALSTOM: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 28.ALSTOM SWOT ANALYSIS
FIGURE 29.XEROX: NET SALES, 2015-2017 ($MILLION)
FIGURE 30.XEROX: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 31.XEROX SWOT ANALYSIS
FIGURE 32.CUBIC TRANSPORTATION:NET SALES, 2015-2017 ($MILLION)
FIGURE 33.CUBIC TRANSPORTATION: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 34.CUBIC TRANSPORTATION: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 35.CUBIC TRANSPORTATION SWOT ANALYSIS
FIGURE 36.EFKON SWOT ANALYSIS
FIGURE 37.GE: NET SALES, 2015-2017 ($MILLION)
FIGURE 38.GE: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 39.GE: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 40.GE SWOT ANALYSIS
FIGURE 41.KAPSCH: NET SALES, 2015-2017 ($MILLION)
FIGURE 42.KAPSCH: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 43.KAPSCH: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 44.KAPSCH SWOT ANALYSIS
FIGURE 45.RAYTHEON: NET SALES, 2015-2017 ($MILLION)
FIGURE 46.RAYTHEON: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 47.RAYTHEON: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 48.RAYTHEON SWOT ANALYSIS
FIGURE 49.SIEMENS AG: NET SALES, 2015-2017 ($MILLION)
FIGURE 50.SIEMENS AG: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 51. SIEMENS AG: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 52.SIEMENS SWOT ANALYSIS
FIGURE 53.TOSHIBA CORPORATION: NET SALES, 2015-2017 ($MILLION)
FIGURE 54.TOSHIBA CORPORATION: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 55.OSHIBA CORPORATION: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 56.TOSHIBA CORPORATION SWOT ANALYSIS
FIGURE 57.THALES: NET SALES,2015-2017 ($MILLION)
FIGURE 58.THALES: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 59.THALES: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 60.THALES SWOT ANALYSIS
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