Predictive analytics is the practice of obtaining crucial information from existing data sets in order to ascertain certain patterns and predict future outcomes and trends. In transportation sector, predictive analytics and simulation software are used to determine traffic patterns and predict future outcomes and trends concerned with transportation. Predictive analytics is increasingly used in the transportation sector wherein it provides valuable insights from data collected from numerous sources. These sources include vehicle location systems, on-board sensors, and data collection points embedded in fare and ticketing systems and scheduling and asset management systems. This software provides various results to the transportation sector such as predictive maintenance, traffic optimization, network and capacity optimization, revenue optimization, and customer behavior. It finds applications in different components of transport, including railways, roadways, seaways, and airways, as it offers cost-saving operations for these components.

Market Dynamics:                                             

The growing popularity of IoT among consumers has increased the number of connected vehicles in the recent past significantly. OEMs are launching premium as well as mid-range cars with pre-installed sensors such as OBD-II, vehicle tracking, and black box among others. These sensors enable automated driving capabilities, vehicle data tracking, and vehicle to safety pertaining to engine diagnostics and vehicle usage. Furthermore, connected cars generate information related to traffic flow and density in real-time. This data can be obtained using transportation predictive analytics and simulation software, which facilitates better analysis of the traffic flow. Moreover, nowadays this data is used by insurance companies to determine the driving pattern of customers and to provide them a Usage Based Insurance (UBI). Predictive analytics and simulation software for transportation offer cost-saving operations. Freight carriers in the transportation sector require constant maintenance, which is the major reason behind increasing costs. Transportation redictive analytics and simulation software provide predictive maintenance for vehicles by collecting data from sensors installed in vehicles and ascertaining which components are most likely to require immediate attention. Owing all these benefits, the demand for transportation predictive analysis and simulation software is increasing globally.

Key features of the study:

• This report provides an in-depth analysis of the global transportation predictive analysis and simulation market, market size (US$ Million), and Compound Annual Growth Rate (CAGR %) for the forecast period (2023 - 2030), considering 2022 as the base year
• It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
• This study also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, regional outlook, and competitive strategies adopted by the leading players
• It profiles leading players in the global transportation predictive analysis and simulation market based on the following parameters – regulatory landscape, company overview, financial performance, product portfolio, geographical presence, distribution strategies, key developments and strategies, and future plans
• The key companies covered as a part of this study are Cubic Corporation, Siemens, T-Systems International GmbH, IBM Corporation, Tiger Analytics Inc., PTV Group, Cyient-Insights, Predikto Inc., SAP AG, and Space-Time Insight
• Insights from this report would allow marketers and management authorities of companies to make informed decisions regarding future product launches, technology upgrade, market expansion, and marketing tactics
• The global transportation predictive analysis and simulation market report caters to various stakeholders in this industry including investors, suppliers, distributors, new entrants, and financial analysts
• Stakeholders would have ease in decision-making through the various strategy matrices used in analyzing the global transportation predictive analysis and simulation market

Detailed Segmentation:

• Global Transportation Predictive Analytics And Simulation Market, By Component
  • Software
  • Services
• Global Transportation Predictive Analytics And Simulation Market, By Simulation Method
  • Microscopic
  • Macroscopic
  • Mesoscopic
• Global Transportation Predictive Analytics And Simulation Market, By Development Method
  • On Premise
  • Cloud Based
• Global Transportation Predictive Analytics And Simulation Market, By Component of Transport
  • Roadways
  • Railways
  • Airways
  • Seaways
• Global Transportation Predictive Analytics And Simulation Market, By Region:
  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East & Africa
• Company Profiles:
  • Cubic Corporation
  • Siemens
  • T-Systems International GmbH
  • IBM Corporation
  • Tiger Analytics Inc.
  • PTV Group
  • Cyient-Insights
  • SAP AG
  • Space-Time Insight
  • Xerox Corporation
  • Predikto Inc.