Transportation Analytics Market Growth Opportunities and Forecast till 2030
The Global Transportation Analytics Market Size valued for USD 10.9 Billion in 2021 and is anticipated to reach USD 54.5 Billion by 2030 with a CAGR of 19.7% from 2022 to 2030.
The use of data analysis techniques and technologies to gain insights and optimize transportation systems is known as transportation analytics. All modes of transportation, including air, land, and sea, can be used to increase efficiency, safety, and sustainability. Transportation analytics entails collecting and analyzing large amounts of data, often in real time, in order to identify patterns, trends, and anomalies. The information could come from a variety of sources, such as traffic sensors, GPS devices, vehicle telemetry, and weather data. After collecting the data, it can be processed using a variety of analytical methods such as machine learning, statistical analysis, and optimization techniques.
Parameter |
Transportation Analytics Market |
Transportation Analytics Market Size in 2021 |
US$ 10.9 Billion |
Transportation Analytics Market Forecast By 2030 |
US$ 54.5 Billion |
Transportation Analytics Market CAGR During 2022 – 2030 |
19.7% |
Transportation Analytics Market Analysis Period |
2018 - 2030 |
Transportation Analytics Market Base Year |
2021 |
Transportation Analytics Market Forecast Data |
2022 - 2030 |
Segments Covered |
By Type, By Mode, and By Region |
Transportation Analytics Market Regional Scope |
North America, Europe, Asia Pacific, Latin America, and Middle East & Africa |
Key Companies Profiled |
Alteryx, CARTO, Cellint, Conduent, Envista Cubic, Hitachi, IBM, Indra Sistema, INRIX, Iteris, Kapsch Trafficcom, OmniTracs, SmartDrive Systems, Siemen, Syntelic, Techvantage, Thales, TomTom, and Trimble others. |
Report Coverage |
Market Trends, Drivers, Restraints, Competitive Analysis, Player Profiling, Regulation Analysis |
Transportation Analytics Market Dynamics
More data is now available than ever before thanks to the increased use of sensors, GPS, and other connected devices in transportation systems. This has created opportunities for transportation analytics to gain insights and optimize transportation systems by leveraging this data. The rapid development of data analytics technologies such as machine learning, data visualization, and predictive analytics has simplified the processing and analysis of large volumes of transportation data. Transportation analytics aids in the optimization of transportation systems by lowering costs and increasing efficiency. Transportation analytics is becoming increasingly important for organizations looking to reduce costs and improve their bottom line as transportation systems become more complex. By optimizing routes, reducing congestion, and improving transportation operations, transportation analytics can help to minimize the environmental impact of transportation systems. Transportation analytics is becoming increasingly important for achieving sustainability goals as organizations focus more on sustainability. As more people move to cities, transportation systems become more complex, necessitating the use of transportation analytics. With increased traffic volumes and congestion, urbanization has created a demand for smarter transportation systems.
Significant investments in hardware, software, and skilled personnel are required for transportation analytics, which can be a significant barrier to entry for smaller organizations. Transportation data is frequently generated from multiple sources, and data quality can vary greatly between these sources. Furthermore, when integrating data from various transportation systems, data compatibility can be a challenge. Transportation data may include sensitive information such as location and personal information. As a result, concerns about data privacy and security can be a significant obstacle to the adoption of transportation analytics solutions. There is no universal set of metrics used to analyze transportation analytics solutions, which makes comparing solutions from different vendors difficult.
Transportation Analytics Market Insights
The transportation analytics market is divided into type, mode, and geographic markets. Type segment is further sub-segmented into descriptive analytics, predictive analytics, and prescriptive analytics. The market segments based on Mode are Railways (performance management, rail traffic management, and others (planning & maintenance and customer satisfaction)), roadways (road safety management, road traffic management, and others (planning & maintenance and customer satisfaction), airways (air traffic management, route optimization, and others (planning & maintenance and customer satisfaction), and waterways (ship monitoring, route optimization, and others (planning & maintenance and customer satisfaction). On the basis of application, the segmentation covers crop, greenhouse, horticulture, and others. North America, Asia-Pacific, Europe, Latin America, and the Middle East and Africa comprise the region sector.
Global Transportation Analytics Market Geographical Competition
The transportation analytics market is expected to be dominated by North America. The presence of a large number of transportation analytics vendors, as well as the rising usage of data analytics technologies in transportation systems, can be attributed to the high growth rate in this region. Because of the presence of a large number of transportation companies and the increasing emphasis on smart transportation systems, the United States is predicted to be the largest contributor to the transportation analytics market in North America.
Europe is predicted to be the second-largest market for transportation analytics, with the United Kingdom, Germany, and France leading the way. The Asia Pacific transportation analytics market is expected to expand significantly due to rising demand for transportation analytics solutions in emerging economies such as China and India. The increasing urbanization, population growth, and demand for efficient transportation systems are predicted to propel the expansion of the transportation analytics market in this region.
Global Transportation Analytics Industry Segment Analysis
Market By Type
· Descriptive Analytics
· Predictive Analytics
· Prescriptive Analytics
Market By Mode
· Railways
o Performance Management
o Rail Traffic Management
o Others
· Roadways
o Road Safety Management
o Road Traffic Management
o Others (Planning & Maintenance and Customer Satisfaction)
· Airways
o Air Traffic Management
o Route Optimization
o Others (Planning & Maintenance and Customer Satisfaction)
· Waterways
o Ship Monitoring
o Route Optimization
o Others (Planning & Maintenance and Customer Satisfaction)
Transportation Analytics Market Leading Companies
The players profiled in the report are Alteryx, CARTO, Cellint, Conduent, Envista Cubic, Hitachi, IBM, Indra Sistema, INRIX, Iteris, Kapsch Trafficcom, OmniTracs, SmartDrive Systems, Siemen, Syntelic, Techvantage, Thales, TomTom, and Trimble others.
Transportation Analytics Market Regions
North America
· U.S.
· Canada
Europe
· U.K.
· Germany
· France
· Spain
· Rest of Europe
Latin America
· Brazil
· Mexico
· Rest of Latin America
Asia-Pacific
· China
· Japan
· India
· Australia
· South Korea
· Rest of Asia-Pacific
Middle East & Africa
· GCC
· South Africa
· Rest of Middle East & Africa