Big Data Analytics in Transportation Market, Global Outlook and Forecast 2024-2030
Report Code: KNJ1752297 No. of Pages: 98 Category: Security and Intelligence Systems
Publisher: Date of Publish:
Publisher: Date of Publish:
The global Big Data Analytics in Transportation market is projected to reach US$ million by 2030.
This report contains market size and forecasts of Big Data Analytics in Transportation in Global, including the following market information:
Global Big Data Analytics in Transportation Market Size 2025-2030, ($ millions)
Big data analytics involves examination of large and varied data sets to help organizations make more informed business decisions. Further, the introduction of big data analytics in transportation industry has increased the efficiency of data management and predictive modeling.
MARKET MONITOR GLOBAL, INC (MMG) has surveyed the Big Data Analytics in Transportation companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Big Data Analytics in Transportation Market, by Type, 2025-2030 ($ millions)
Global Big Data Analytics in Transportation Market Segment Percentages, by Type
Software
Service
Global Big Data Analytics in Transportation Market, by Application, 2025-2030 ($ millions)
Global Big Data Analytics in Transportation Market Segment Percentages, by Application
Highway
Railway
Water Transport
Air Transport
Others
Global Big Data Analytics in Transportation Market, By Region and Country, 2025-2030 ($ Millions)
Global Big Data Analytics in Transportation Market Segment Percentages, by region and country
United States
Europe
Asia
China
Rest of World
Competitor Analysis
The report also provides analysis of leading market participants including:
Further, the report presents profiles of competitors in the market, key players include:
Qlik Technologies
IBM
Hewlett Packard Enterprise
Microsoft
Amazon
SAP SE
Teradata
Cloudera
Tableau
iTechArt
Talend
CHA Consulting
MongoDB
Datapine
Smartbi
FineBI
1 Introduction to Research & Analysis Reports
1.1 Big Data Analytics in Transportation Market Definition
1.2 Market Segments
1.2.1 Market by Type
1.2.2 Market by Application
1.3 Global Big Data Analytics in Transportation Market Overview
1.4 Features & Benefits of This Report
1.5 Methodology & Sources of Information
1.5.1 Research Methodology
1.5.2 Research Process
1.5.3 Base Year
1.5.4 Report Assumptions & Caveats
2 Global Big Data Analytics in Transportation Overall Market Size
2.1 Global Big Data Analytics in Transportation Market Size: 2024 VS 2030
2.2 Global Big Data Analytics in Transportation Market Size, Prospects & Forecasts: 2024-2030
2.3 Key Market Trends, Opportunity, Drivers and Restraints
2.3.1 Market Opportunities & Trends
2.3.2 Market Drivers
2.3.3 Market Restraints
3 Company Landscape
3.1 Key Big Data Analytics in Transportation Players in Global Market
3.2 Global Companies Big Data Analytics in Transportation Product & Technology
4 Big Data Analytics in Transportation Companies Profiles
4.1 Qlik Technologies
4.1.1 Qlik Technologies Company Summary
4.1.2 Qlik Technologies Business Overview
4.1.3 Qlik Technologies Big Data Analytics in Transportation Product Offerings & Technology
4.1.4 Qlik Technologies Big Data Analytics in Transportation R&D, and Plans
4.2 IBM
4.2.1 IBM Company Summary
4.2.2 IBM Business Overview
4.2.3 IBM Big Data Analytics in Transportation Product Offerings & Technology
4.2.4 IBM Big Data Analytics in Transportation R&D, and Plans
4.3 Hewlett Packard Enterprise
4.3.1 Hewlett Packard Enterprise Company Summary
4.3.2 Hewlett Packard Enterprise Business Overview
4.3.3 Hewlett Packard Enterprise Big Data Analytics in Transportation Product Offerings & Technology
4.3.4 Hewlett Packard Enterprise Big Data Analytics in Transportation R&D, and Plans
4.4 Microsoft
4.4.1 Microsoft Company Summary
4.4.2 Microsoft Business Overview
4.4.3 Microsoft Big Data Analytics in Transportation Product Offerings & Technology
4.4.4 Microsoft Big Data Analytics in Transportation R&D, and Plans
4.5 Amazon
4.5.1 Amazon Company Summary
4.5.2 Amazon Business Overview
4.5.3 Amazon Big Data Analytics in Transportation Product Offerings & Technology
4.5.4 Amazon Big Data Analytics in Transportation R&D, and Plans
4.6 SAP SE
4.6.1 SAP SE Company Summary
4.6.2 SAP SE Business Overview
4.6.3 SAP SE Big Data Analytics in Transportation Product Offerings & Technology
4.6.4 SAP SE Big Data Analytics in Transportation R&D, and Plans
4.7 Teradata
4.7.1 Teradata Company Summary
4.7.2 Teradata Business Overview
4.7.3 Teradata Big Data Analytics in Transportation Product Offerings & Technology
4.7.4 Teradata Big Data Analytics in Transportation R&D, and Plans
4.8 Cloudera
4.8.1 Cloudera Company Summary
4.8.2 Cloudera Business Overview
4.8.3 Cloudera Big Data Analytics in Transportation Product Offerings & Technology
4.8.4 Cloudera Big Data Analytics in Transportation R&D, and Plans
4.9 Tableau
4.9.1 Tableau Company Summary
4.9.2 Tableau Business Overview
4.9.3 Tableau Big Data Analytics in Transportation Product Offerings & Technology
4.9.4 Tableau Big Data Analytics in Transportation R&D, and Plans
4.10 iTechArt
4.10.1 iTechArt Company Summary
4.10.2 iTechArt Business Overview
4.10.3 iTechArt Big Data Analytics in Transportation Product Offerings & Technology
4.10.4 iTechArt Big Data Analytics in Transportation R&D, and Plans
4.11 Talend
4.11.1 Talend Company Summary
4.11.2 Talend Business Overview
4.11.3 Talend Big Data Analytics in Transportation Product Offerings & Technology
4.11.4 Talend Big Data Analytics in Transportation R&D, and Plans
4.12 CHA Consulting
4.12.1 CHA Consulting Company Summary
4.12.2 CHA Consulting Business Overview
4.12.3 CHA Consulting Big Data Analytics in Transportation Product Offerings & Technology
4.12.4 CHA Consulting Big Data Analytics in Transportation R&D, and Plans
4.13 MongoDB
4.13.1 MongoDB Company Summary
4.13.2 MongoDB Business Overview
4.13.3 MongoDB Big Data Analytics in Transportation Product Offerings & Technology
4.13.4 MongoDB Big Data Analytics in Transportation R&D, and Plans
4.14 Datapine
4.14.1 Datapine Company Summary
4.14.2 Datapine Business Overview
4.14.3 Datapine Big Data Analytics in Transportation Product Offerings & Technology
4.14.4 Datapine Big Data Analytics in Transportation R&D, and Plans
4.15 Smartbi
4.15.1 Smartbi Company Summary
4.15.2 Smartbi Business Overview
4.15.3 Smartbi Big Data Analytics in Transportation Product Offerings & Technology
4.15.4 Smartbi Big Data Analytics in Transportation R&D, and Plans
4.16 FineBI
4.16.1 FineBI Company Summary
4.16.2 FineBI Business Overview
4.16.3 FineBI Big Data Analytics in Transportation Product Offerings & Technology
4.16.4 FineBI Big Data Analytics in Transportation R&D, and Plans
5 Sights by Region
5.1 By Region - Global Big Data Analytics in Transportation Market Size, 2025 & 2030
5.2 By Region - Global Big Data Analytics in Transportation Revenue, (2025-2030)
5.3 United States
5.3.1 Key Players of Big Data Analytics in Transportation in United States
5.3.2 United States Big Data Analytics in Transportation Development Current Situation and Forecast
5.4 Europe
5.4.1 Key Players of Big Data Analytics in Transportation in Europe
5.4.2 Europe Big Data Analytics in Transportation Development Current Situation and Forecast
5.5 China
5.5.1 Key Players of Big Data Analytics in Transportation in China
5.5.2 China Big Data Analytics in Transportation Development Current Situation and Forecast
5.6 Rest of World
6 Sights by Product
6.1 By Type - Global Big Data Analytics in Transportation Market Size Markets, 2025 & 2030
6.2 Software
6.3 Service
7 Sights by Application
7.1 By Application - Global Big Data Analytics in Transportation Market Size, 2025 & 2030
7.2 Highway
7.3 Railway
7.4 Water Transport
7.5 Air Transport
7.6 Others
8 Conclusion
9 Appendix
9.1 Note
9.2 Examples of Clients
9.3 Disclaimer
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