The Business Research Company’s report on the Transportation Predictive Analytics And Simulation Market provides insights into the global market size, growth rate, regional distribution, competitive landscape, key segments, emerging trends, and strategic opportunities.
Which emerging drivers are set to accelerate the growth of the transportation predictive analytics and simulation market further?
The growing instances of road accidents are expected to propel the growth of the transportation predictive analytics and simulation market going forward. Road accidents refer to accidents that occur on roads, highways, and other thoroughfares. This has resulted from an increase in the number of vehicles on the road, changes in traffic patterns or road conditions, driver error, or changes in weather patterns. Transportation predictive analytics and simulation help in reducing the number of road accidents by identifying high-risk areas, improving traffic flow, predicting and preventing accidents, and identifying and addressing driver behavior, thus increasing the adaption of transportation predictive analytics and simulation. For instance, in May 2022, the National Highway Traffic Safety Administration, a part of the US Department of Transportation, in 2021, around 42,915 people died in motor vehicle traffic accidents, this number has rose by 10.5% as compared to 38,824 fatalities in the previous year. Therefore, the growing instances of road accidents are driving the transportation predictive analytics and simulation market.
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What are the key factors influencing the forecasted market size of the transportation predictive analytics and simulation industry?
The transportation predictive analytics and simulation market size has grown strongly in recent years. It will grow from$2.72 billion in 2024 to $2.94 billion in 2025 at a compound annual growth rate (CAGR) of 7.9%. The growth in the historic period can be attributed to emergence of iot, early smart city concepts, data collection efforts, government initiatives, transportation infrastructure growth
The transportation predictive analytics and simulation market size is expected to see rapid growth in the next few years. It will grow to “$4.37 billion in 2029 at a compound annual growth rate (CAGR) of 10.4%. The growth in the forecast period can be attributed to rise in smart cities, increasing iot adoption, demand for traffic management solutions, focus on sustainability. Major trends in the forecast period include big data integration, artificial intelligence and machine learning, demand for smart transportation, climate and environmental concerns, integration of ai and ml.
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Who are the leading competitors in the transportation predictive analytics and simulation market?
Major companies operating in the transportation predictive analytics and simulation market include SAP AG, IBM Corporation, T-Systems International GmbH, Xerox Corporation, Cubic Corporation, Cyient Insights Private Limited, Tiger Analytics Inc., PTV Group, Predikto Inc., Space-Time Insight India Private Limited, TSS-Transport Simulation Systems Inc., Caliper Corporation, Dataiku, INRIX, Indra Sistemas S.A., Siemens AG, Kapsch TrafficCom AG, TomTom International BV, HERE Technologies, Iteris Inc., Citilabs Inc., Dassault Systèmes SE, Altair Engineering Inc., AnyLogic North America LLC, Simio LLC, FlexSim Software Products Inc., Transoft Solutions Inc., Trafficware Group Inc., Mott MacDonald Group, WSP Global Inc., IBI Group Inc., Stantec Inc., GHD Group Pty. Ltd.
Which emerging trends are set to transform the transportation predictive analytics and simulation market landscape?
Product innovations are the key trends gaining popularity in the transportation predictive analytics and simulation market. Companies operating in the transportation predictive analytics and simulation market are adopting new technologies to sustain their position in the market. For instance, in April 2023, Geotab Intelligent Transportation Systems, a Canada-based telematics technology provider for GPS fleet management, launched Stop Analytics for commercial vehicle parking insights. Stop analytics is a data analytics module designed to improve the movements of goods and services, create safer truck stops and roadways, strategically identify new real estate sites, develop more efficient curbside management programs, and pinpoint where to place electric vehicle charging infrastructure. Stop analytics helps to identify parking for heavy-duty trucks and improves driver safety.
How do different geographies compare in terms of market share and growth potential in the transportation predictive analytics and simulation market?
North America was the largest region in the transportation predictive analytics and simulation market in 2024. Asia-pacific is expected to be the fastest-growing region in the global transportation predictive analytics and simulation market during the forecast period. The regions covered in the transportation predictive analytics and simulation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
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Which major segments of the transportation predictive analytics and simulation market are experiencing the fastest growth?
The transportation predictive analytics and simulation market covered in this report is segmented –
1) By Component: Software, Services
2) By Simulation Method: Microscopic, Macroscopic, Mesoscopic
3) By Type: On-Premise, Cloud-based
4) By Application: Roadways, Railways, Airways, Seaways, Other Applications
Subsegments:
1) By Software: Descriptive Analytics Software, Predictive Analytics Software, Prescriptive Analytics Software
2) By Services: Consulting Services, Implementation Services, Support And Maintenance Services
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How is the transportation predictive analytics and simulation market defined, and what are its core characteristics?
Transportation predictive analytics and simulation is the use of data analysis techniques and mathematical models to predict and simulate various transportation scenarios.
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