An Incisive, In-depth Analysis on the Transportation Predictive Analytics And Simulation Market
This study offers a comprehensive, 360 degree analysis on the Transportation Predictive Analytics And Simulation market, bringing to fore insights that can help stakeholders identify the opportunities as well as challenges. It tracks the global Transportation Predictive Analytics And Simulation market across key regions, and offers in-depth commentary and accurate quantitative insights. The study also includes incisive competitive landscape analysis, and provides key recommendations to market players on winning imperatives and successful strategies.
Connected vehicles are the need of the hour
With an increasing focus on the Internet of Things (IoT), there has been a substantial increase in the connected vehicles across the world. Both mid-range and high-end cars are being unveiled with sensors built in. These sensors are able to enable vehicle to vehicle safety, automated driving capabilities, and vehicle data tracking related to engine diagnostics and vehicle usage. Connected cars are also able to generate information pertaining to traffic flows in real time. This information can be obtained with the help of the transportation predictive analytics and simulation market, allowing better analysis of traffic flows.
Global vehicular traffic volume increasing by leaps and bounds
The number of vehicles, particularly in developing countries, has been skyrocketing in the last few years and even transportation infrastructure has shown decent growth. Large-scale migration to urban areas has exerted enormous pressure on roadways, leading to an absence of safe public transportation, overcrowded roads, inadequate traffic management, lack of road safety measures, parking hassles and poor road conditions. Simulation software and predictive analytics for the purpose of transportation gathers data from in-built vehicle sensors and refines it to deliver meaningful analysis. Data analysis can be extremely helpful in predicting traffic flows, thereby reducing congestion and improving traffic movement and the overall road experience.
Transit companies using data driven information for transportation
The demand for data driven information has been rising day by day among transit companies. Companies such as Lyft and Uber use predictive analytics to fill the demand-supply gap that exists for cabs. Through the transportation predictive analytics and simulation market, transit companies are able to identify which region has the highest demand and also the number of cabs that may be available in that specific region. Messages can be sent to drivers in this case for them to reach their destination and cater to the needs that may arise there.
Roadways to remain the largest segment in terms of transport components
The Roadways segment was valued at more than US$ 620 Mn in 2016 and is predicted to touch about US$ 1.7 Bn by the end of the forecast period, registering a CAGR of 9.8% for the decade – the highest CAGR among all the segments by component of transport. An incremental dollar opportunity of more than US$ 1 Bn is expected in the Roadways segment of the global transportation predictive analytics and simulation market between 2017 and 2027. Roadways is predicted to be the most attractive segment and is expected to register significant Y-o-Y growth rates during the forecast period.
Trends likely to govern the global transportation predictive analytics and simulation market
In terms of component of transport, the application of predictive analytics is likely to be witnessed to a great deal in the airline industry. The airline industry has been quick in the adoption of predictive analytics and simulation software to acquire deeper insights into customer behaviour. By analysing parameters such as customer buying patterns, seasonal influence and available cargo capacity on a daily, weekly or monthly basis, predictive analytics can help companies maximise revenue and minimise costs of transportation by efficiently predicting customer demand at the same time dealing with capacity limitations if any.
Roadways segment likely to witness the highest CAGR in terms of value in the North America transportation predictive analytics and simulation market
North America is well-known for its developed transport infrastructure, particularly in roadways. The Roadways segment by component of transport in the North America transportation predictive analytics and simulation market is anticipated to reach a market valuation in excess of US$ 600 Mn by the end of 2027, up from about US$ 190 Mn in 2016. This represents a CAGR of 11.4% during the 10 year period from 2017 to 2027.
In our upcoming report ‘Transportation Predictive Analytics and Simulation Market: Global Industry Analysis and Opportunity Assessment, 2017–2027’, we at Future Market Insights have extensively studied the global transportation predictive analytics and simulation market and prepared this insightful report. We have taken the help of several key metrics such as absolute dollar opportunity, incremental dollar opportunity, CAGR and Y-o-Y growth projections. Our analysts have provided their expert analysis on where the global transportation predictive analytics and simulation market currently is and where it is expected to be in terms of value at the end of the forecast period.
Comprehensive Report Structure
To understand a market as complex as the global transportation predictive analytics and simulation market, it is highly recommended to understand the global transportation predictive analytics and simulation market at the grassroots level. That is the precise objective of the market overview section. Here, we have given the definition and the taxonomy of the global transportation predictive analytics and simulation market.
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In our report on the global transportation predictive analytics and simulation market, we have analysed the market on the basis of the taxonomy for the previous year i.e. 2016. We then move onto a thorough analysis of the global transportation predictive analytics and simulation market for the decadal study period from 2017 to 2027. For each segment in the global transportation predictive analytics and simulation market taxonomy, we have highlighted the Y-o-Y growth comparison and Basis Point Share (BPS). Along with this, the absolute dollar opportunity, incremental dollar opportunity and the regional transportation predictive analytics and simulation market value forecast are mentioned. A few of the prominent trends that can be anticipated in the global transportation predictive analytics and simulation market complete this informative section of the report.
Before entering any market, it helps to understand the market dynamics and there is a dedication section in the global transportation predictive analytics and simulation market report for this. We have discussed the drivers and restraints of the global transportation predictive analytics and simulation market at length. The challenges to be overcome to truly exploit the opportunities in the global transportation predictive analytics and simulation market provide a holistic approach to tackling it.
The global transportation predictive analytics and simulation market report begins with an executive summary. This is the ideal section to refer to if you need the most important information pertaining to the global transportation predictive analytics and simulation market in the shortest time frame. The market value for both 2017 and 2027, the CAGR, and information on the largest regional transportation predictive analytics and simulation market is provided. We have also simplified the global transportation predictive analytics and simulation market value share in an easy-to-understand graphical representation for our readers’ benefit. For the purpose of preparing the global transportation predictive analytics and simulation market report, we have used a few acronyms and made a few assumptions with respect to the global transportation predictive analytics and simulation market. These have been adequately explained in a separate section of the global transportation predictive analytics and simulation market report.
We have studied the global transportation predictive analytics and simulation market on the basis of seven key geographic regions. Each region has its own dedicated section where we have touched upon the country-specific Y-o-Y growth projections, BPS and key trends. The transportation predictive analytics and simulation market forecast for the most prolific countries has given the absolute and incremental dollar opportunity for each as well as value forecasts for every geographic region on the basis of Component, Deployment Model, Simulation Method and Transportation Type. A few of the drivers and restraints that can have an impact on the regional transportation predictive analytics and simulation market and our expert analysis of those conclude this vital section.
A competition analysis can be quite beneficial in the case of the global transportation predictive analytics and simulation market. We have done precisely that in the competition landscape section wherein we have profiled the prominent companies operating in the global transportation predictive analytics and simulation market. A broad company overview, key financials, company revenue and Y-o-Y growth, product offerings as well as important financial ratios are highlighted. The company strategy and major developments can be beneficial for key stakeholders to take the right business decisions in the global transportation predictive analytics and simulation market.
Class-leading Research Methodology
Future Market Insights has developed a unique research methodology that can easily be considered second to none in the industry. We begin with exhaustive primary and secondary research that enables us to understand the global transportation predictive analytics and simulation market in depth. The primary research captures vital market data and information that is collected through interviews with relevant stakeholders including key players in the global transportation predictive analytics and simulation market. The data is extensively verified and validated by way of a triangulation method where primary and secondary data is combined with our expert analysis to arrive at the final data points. We then thoroughly scrutinise this data using proprietary tools to gain both qualitative and quantitative insights into the global transportation predictive analytics and simulation market.
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