Global Transportation Predictive Analytics Market 2024 by Company, Regions, Type and Application, Forecast to 2030

Global Transportation Predictive Analytics Market 2024 by Company, Regions, Type and Application, Forecast to 2030

According to our (Global Info Research) latest study, the global Transportation Predictive Analytics market size was valued at USD 942.4 million in 2023 and is forecast to a readjusted size of USD 2075.2 million by 2030 with a CAGR of 11.9% during review period.

The transportation predictive analytics market aims to provide the predictive analysis of logistics data and can be used to transform the way companies do business, particularly in terms of cost efficiency, operational efficiency, cost saving, dynamic pricing and collection and visualization of data.

The increasing data volumes across transportation sector and various private agencies are the key drivers governing the market growth of the transportation predictive analytics market.

The Global Info Research report includes an overview of the development of the Transportation Predictive Analytics industry chain, the market status of Roadways (On-Premise, Cloud-based), Railways (On-Premise, Cloud-based), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Transportation Predictive Analytics.

Regionally, the report analyzes the Transportation Predictive Analytics markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Transportation Predictive Analytics market, with robust domestic demand, supportive policies, and a strong manufacturing base.

Key Features:

The report presents comprehensive understanding of the Transportation Predictive Analytics market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Transportation Predictive Analytics industry.

The report involves analyzing the market at a macro level:

Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., On-Premise, Cloud-based).

Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Transportation Predictive Analytics market.

Regional Analysis: The report involves examining the Transportation Predictive Analytics market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.

Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Transportation Predictive Analytics market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.

The report also involves a more granular approach to Transportation Predictive Analytics:

Company Analysis: Report covers individual Transportation Predictive Analytics players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.

Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Transportation Predictive Analytics This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Roadways, Railways).

Technology Analysis: Report covers specific technologies relevant to Transportation Predictive Analytics. It assesses the current state, advancements, and potential future developments in Transportation Predictive Analytics areas.

Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Transportation Predictive Analytics market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.

Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.

Market Segmentation

Transportation Predictive Analytics market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.

Market segment by Type
On-Premise
Cloud-based

Market segment by Application
Roadways
Railways
Airways
Seaways

Market segment by players, this report covers
IBM
Xerox
SAP
Space-Time Insight
Predikto
TSS-Transport Simulation Systems
Caliper Corporation
Tiger Analyticsand
T-Systems
Cyient

Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 13 chapters:

Chapter 1, to describe Transportation Predictive Analytics product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top players of Transportation Predictive Analytics, with revenue, gross margin and global market share of Transportation Predictive Analytics from 2019 to 2024.

Chapter 3, the Transportation Predictive Analytics competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Transportation Predictive Analytics market forecast, by regions, type and application, with consumption value, from 2025 to 2030.

Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.

Chapter 12, the key raw materials and key suppliers, and industry chain of Transportation Predictive Analytics.

Chapter 13, to describe Transportation Predictive Analytics research findings and conclusion.