Global Big Data Analytics in Transportation
Global Big Data Analytics in Transportation

Big Data Analytics in Transportation Comprehensive Study by Type (Software, Services), Application (Highway, Railway, Water Transport, Air Transport, Pipeline, Others), Deployment (Cloud, On-premise), Usages (Predictive Maintenance, Budget Monitoring, Product Lifecycle Management, Field Activity Management, Others) Players and Region - Global Market Outlook to 2026

Big Data Analytics in Transportation Market Segmented into XX Submarkets. | Forecast Years: 2021- 2026  

Jun 2021 Edition 241 Pages 199 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Big Data Analytics in Transportation Market Scope
Big data analytics is a process used to extract significant insights, like hidden patterns, unknown correlations, market trends, and client preferences. Big data analytics provides numerous advantages—it is often used for better decision making, preventing fallacious activities, among other things. The transportation business ensures the economical and safe transportation of individuals and goods from one place to another. The expansion of technology, like traffic sensors, electronic access, quality management, and monitoring show systems in transportation is powering analytics in this segment.

The Big Data Analytics in Transportation market study is segmented by Type (Software and Services), by Application (Highway, Railway, Water Transport, Air Transport, Pipeline and Others) and major geographies with country level break-up.

The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies. Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global Big Data Analytics in Transportation market throughout the predicted period.

IBM Corporation (United States), Microsoft Corporation (United States), Amazon Web Services (United States), SAP SE (Germany), Oracle Corporation (United States), Splunk Inc. (United States), Hewlett-Packard Co. (United States), Teradata Corporation (United States), Cloudera Inc. (United States) and Tableau Software, Inc (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are Accenture (Ireland), Informatica (United States), Teradata (United States) and Palantir (United States).

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a
preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from total available market.

Segmentation Overview
AMA Research has segmented the market of Global Big Data Analytics in Transportation market by Type, Application and Region.

On the basis of geography, the market of Big Data Analytics in Transportation has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico).




Market Trend
  • Adoption of Multi Modal Transportation

Market Drivers
  • Demand for Managing the Data of Transportation Industry for Enhanced Operation

Opportunities
  • Surging Demand for the Big Data in Transportation Industry in Developed Nations for the Growing Number of Government Transportation Plans

Restraints
  • Lack of Skilled Labour
  • Data Security Concern
  • Lack of Proper Infrastructure

Challenges
  • Privacy Violation Related Concerns with Big Data Analysis Hindering the Big Data in Transportation Industry
  • Huge Set of Data Collection and Processing


Key Target Audience
Venture Capitalists and Private Equity Firms, New Entrants/Investors, Analysts and Strategic Business Planners, Government Regulatory and Research Organizations, Service Provider and End-Use Industries

Frequently Asked Questions (FAQ):

1. Is it possible to have certain customization in the study?
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a study that suits your business objectives.

2. How big is the Big Data Analytics in Transportation Market?
Yes, the study does represent market size by key business segment, application/end users and major geographies forecasted till 2026.

Report Objectives / Segmentation Covered
By Type
  • Software
  • Services
By Application
  • Highway
  • Railway
  • Water Transport
  • Air Transport
  • Pipeline
  • Others
By Deployment
  • Cloud
  • On-premise

By Usages
  • Predictive Maintenance
  • Budget Monitoring
  • Product Lifecycle Management
  • Field Activity Management
  • Others

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Demand for Managing the Data of Transportation Industry for Enhanced Operation
    • 3.3. Market Challenges
      • 3.3.1. Privacy Violation Related Concerns with Big Data Analysis Hindering the Big Data in Transportation Industry
      • 3.3.2. Huge Set of Data Collection and Processing
    • 3.4. Market Trends
      • 3.4.1. Adoption of Multi Modal Transportation
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Big Data Analytics in Transportation, by Type, Application, Deployment, Usages and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Big Data Analytics in Transportation (Value)
      • 5.2.1. Global Big Data Analytics in Transportation by: Type (Value)
        • 5.2.1.1. Software
        • 5.2.1.2. Services
      • 5.2.2. Global Big Data Analytics in Transportation by: Application (Value)
        • 5.2.2.1. Highway
        • 5.2.2.2. Railway
        • 5.2.2.3. Water Transport
        • 5.2.2.4. Air Transport
        • 5.2.2.5. Pipeline
        • 5.2.2.6. Others
      • 5.2.3. Global Big Data Analytics in Transportation by: Deployment (Value)
        • 5.2.3.1. Cloud
        • 5.2.3.2. On-premise
      • 5.2.4. Global Big Data Analytics in Transportation by: Usages (Value)
        • 5.2.4.1. Predictive Maintenance
        • 5.2.4.2. Budget Monitoring
        • 5.2.4.3. Product Lifecycle Management
        • 5.2.4.4. Field Activity Management
        • 5.2.4.5. Others
      • 5.2.5. Global Big Data Analytics in Transportation Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. Big Data Analytics in Transportation: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. IBM Corporation (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Microsoft Corporation (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Amazon Web Services (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. SAP SE (Germany)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Oracle Corporation (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Splunk Inc. (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Hewlett-Packard Co. (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Teradata Corporation (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Cloudera Inc. (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Tableau Software, Inc (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Big Data Analytics in Transportation Sale, by Type, Application, Deployment, Usages and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Big Data Analytics in Transportation (Value)
      • 7.2.1. Global Big Data Analytics in Transportation by: Type (Value)
        • 7.2.1.1. Software
        • 7.2.1.2. Services
      • 7.2.2. Global Big Data Analytics in Transportation by: Application (Value)
        • 7.2.2.1. Highway
        • 7.2.2.2. Railway
        • 7.2.2.3. Water Transport
        • 7.2.2.4. Air Transport
        • 7.2.2.5. Pipeline
        • 7.2.2.6. Others
      • 7.2.3. Global Big Data Analytics in Transportation by: Deployment (Value)
        • 7.2.3.1. Cloud
        • 7.2.3.2. On-premise
      • 7.2.4. Global Big Data Analytics in Transportation by: Usages (Value)
        • 7.2.4.1. Predictive Maintenance
        • 7.2.4.2. Budget Monitoring
        • 7.2.4.3. Product Lifecycle Management
        • 7.2.4.4. Field Activity Management
        • 7.2.4.5. Others
      • 7.2.5. Global Big Data Analytics in Transportation Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Big Data Analytics in Transportation: by Type(USD Million)
  • Table 2. Big Data Analytics in Transportation Software , by Region USD Million (2015-2020)
  • Table 3. Big Data Analytics in Transportation Services , by Region USD Million (2015-2020)
  • Table 4. Big Data Analytics in Transportation: by Application(USD Million)
  • Table 5. Big Data Analytics in Transportation Highway , by Region USD Million (2015-2020)
  • Table 6. Big Data Analytics in Transportation Railway , by Region USD Million (2015-2020)
  • Table 7. Big Data Analytics in Transportation Water Transport , by Region USD Million (2015-2020)
  • Table 8. Big Data Analytics in Transportation Air Transport , by Region USD Million (2015-2020)
  • Table 9. Big Data Analytics in Transportation Pipeline , by Region USD Million (2015-2020)
  • Table 10. Big Data Analytics in Transportation Others , by Region USD Million (2015-2020)
  • Table 11. Big Data Analytics in Transportation: by Deployment(USD Million)
  • Table 12. Big Data Analytics in Transportation Cloud , by Region USD Million (2015-2020)
  • Table 13. Big Data Analytics in Transportation On-premise , by Region USD Million (2015-2020)
  • Table 14. Big Data Analytics in Transportation: by Usages(USD Million)
  • Table 15. Big Data Analytics in Transportation Predictive Maintenance , by Region USD Million (2015-2020)
  • Table 16. Big Data Analytics in Transportation Budget Monitoring , by Region USD Million (2015-2020)
  • Table 17. Big Data Analytics in Transportation Product Lifecycle Management , by Region USD Million (2015-2020)
  • Table 18. Big Data Analytics in Transportation Field Activity Management , by Region USD Million (2015-2020)
  • Table 19. Big Data Analytics in Transportation Others , by Region USD Million (2015-2020)
  • Table 20. South America Big Data Analytics in Transportation, by Country USD Million (2015-2020)
  • Table 21. South America Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 22. South America Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 23. South America Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 24. South America Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 25. Brazil Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 26. Brazil Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 27. Brazil Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 28. Brazil Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 29. Argentina Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 30. Argentina Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 31. Argentina Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 32. Argentina Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 33. Rest of South America Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 34. Rest of South America Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 35. Rest of South America Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 36. Rest of South America Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 37. Asia Pacific Big Data Analytics in Transportation, by Country USD Million (2015-2020)
  • Table 38. Asia Pacific Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 39. Asia Pacific Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 40. Asia Pacific Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 41. Asia Pacific Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 42. China Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 43. China Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 44. China Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 45. China Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 46. Japan Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 47. Japan Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 48. Japan Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 49. Japan Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 50. India Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 51. India Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 52. India Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 53. India Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 54. South Korea Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 55. South Korea Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 56. South Korea Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 57. South Korea Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 58. Taiwan Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 59. Taiwan Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 60. Taiwan Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 61. Taiwan Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 62. Australia Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 63. Australia Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 64. Australia Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 65. Australia Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 66. Rest of Asia-Pacific Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 67. Rest of Asia-Pacific Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 68. Rest of Asia-Pacific Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 69. Rest of Asia-Pacific Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 70. Europe Big Data Analytics in Transportation, by Country USD Million (2015-2020)
  • Table 71. Europe Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 72. Europe Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 73. Europe Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 74. Europe Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 75. Germany Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 76. Germany Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 77. Germany Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 78. Germany Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 79. France Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 80. France Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 81. France Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 82. France Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 83. Italy Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 84. Italy Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 85. Italy Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 86. Italy Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 87. United Kingdom Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 88. United Kingdom Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 89. United Kingdom Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 90. United Kingdom Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 91. Netherlands Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 92. Netherlands Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 93. Netherlands Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 94. Netherlands Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 95. Rest of Europe Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 96. Rest of Europe Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 97. Rest of Europe Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 98. Rest of Europe Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 99. MEA Big Data Analytics in Transportation, by Country USD Million (2015-2020)
  • Table 100. MEA Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 101. MEA Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 102. MEA Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 103. MEA Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 104. Middle East Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 105. Middle East Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 106. Middle East Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 107. Middle East Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 108. Africa Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 109. Africa Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 110. Africa Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 111. Africa Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 112. North America Big Data Analytics in Transportation, by Country USD Million (2015-2020)
  • Table 113. North America Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 114. North America Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 115. North America Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 116. North America Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 117. United States Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 118. United States Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 119. United States Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 120. United States Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 121. Canada Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 122. Canada Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 123. Canada Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 124. Canada Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 125. Mexico Big Data Analytics in Transportation, by Type USD Million (2015-2020)
  • Table 126. Mexico Big Data Analytics in Transportation, by Application USD Million (2015-2020)
  • Table 127. Mexico Big Data Analytics in Transportation, by Deployment USD Million (2015-2020)
  • Table 128. Mexico Big Data Analytics in Transportation, by Usages USD Million (2015-2020)
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Figure 35. Tableau Software, Inc (United States) Revenue, Net Income and Gross profit
  • Figure 36. Tableau Software, Inc (United States) Revenue: by Geography 2020
  • Table 139. Big Data Analytics in Transportation: by Type(USD Million)
  • Table 140. Big Data Analytics in Transportation Software , by Region USD Million (2021-2026)
  • Table 141. Big Data Analytics in Transportation Services , by Region USD Million (2021-2026)
  • Table 142. Big Data Analytics in Transportation: by Application(USD Million)
  • Table 143. Big Data Analytics in Transportation Highway , by Region USD Million (2021-2026)
  • Table 144. Big Data Analytics in Transportation Railway , by Region USD Million (2021-2026)
  • Table 145. Big Data Analytics in Transportation Water Transport , by Region USD Million (2021-2026)
  • Table 146. Big Data Analytics in Transportation Air Transport , by Region USD Million (2021-2026)
  • Table 147. Big Data Analytics in Transportation Pipeline , by Region USD Million (2021-2026)
  • Table 148. Big Data Analytics in Transportation Others , by Region USD Million (2021-2026)
  • Table 149. Big Data Analytics in Transportation: by Deployment(USD Million)
  • Table 150. Big Data Analytics in Transportation Cloud , by Region USD Million (2021-2026)
  • Table 151. Big Data Analytics in Transportation On-premise , by Region USD Million (2021-2026)
  • Table 152. Big Data Analytics in Transportation: by Usages(USD Million)
  • Table 153. Big Data Analytics in Transportation Predictive Maintenance , by Region USD Million (2021-2026)
  • Table 154. Big Data Analytics in Transportation Budget Monitoring , by Region USD Million (2021-2026)
  • Table 155. Big Data Analytics in Transportation Product Lifecycle Management , by Region USD Million (2021-2026)
  • Table 156. Big Data Analytics in Transportation Field Activity Management , by Region USD Million (2021-2026)
  • Table 157. Big Data Analytics in Transportation Others , by Region USD Million (2021-2026)
  • Table 158. South America Big Data Analytics in Transportation, by Country USD Million (2021-2026)
  • Table 159. South America Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 160. South America Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 161. South America Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 162. South America Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 163. Brazil Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 164. Brazil Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 165. Brazil Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 166. Brazil Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 167. Argentina Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 168. Argentina Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 169. Argentina Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 170. Argentina Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 171. Rest of South America Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 172. Rest of South America Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 173. Rest of South America Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 174. Rest of South America Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 175. Asia Pacific Big Data Analytics in Transportation, by Country USD Million (2021-2026)
  • Table 176. Asia Pacific Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 177. Asia Pacific Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 178. Asia Pacific Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 179. Asia Pacific Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 180. China Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 181. China Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 182. China Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 183. China Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 184. Japan Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 185. Japan Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 186. Japan Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 187. Japan Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 188. India Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 189. India Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 190. India Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 191. India Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 192. South Korea Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 193. South Korea Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 194. South Korea Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 195. South Korea Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 196. Taiwan Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 197. Taiwan Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 198. Taiwan Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 199. Taiwan Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 200. Australia Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 201. Australia Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 202. Australia Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 203. Australia Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 204. Rest of Asia-Pacific Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 205. Rest of Asia-Pacific Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 206. Rest of Asia-Pacific Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 207. Rest of Asia-Pacific Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 208. Europe Big Data Analytics in Transportation, by Country USD Million (2021-2026)
  • Table 209. Europe Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 210. Europe Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 211. Europe Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 212. Europe Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 213. Germany Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 214. Germany Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 215. Germany Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 216. Germany Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 217. France Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 218. France Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 219. France Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 220. France Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 221. Italy Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 222. Italy Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 223. Italy Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 224. Italy Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 225. United Kingdom Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 226. United Kingdom Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 227. United Kingdom Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 228. United Kingdom Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 229. Netherlands Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 230. Netherlands Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 231. Netherlands Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 232. Netherlands Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 233. Rest of Europe Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 234. Rest of Europe Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 235. Rest of Europe Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 236. Rest of Europe Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 237. MEA Big Data Analytics in Transportation, by Country USD Million (2021-2026)
  • Table 238. MEA Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 239. MEA Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 240. MEA Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 241. MEA Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 242. Middle East Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 243. Middle East Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 244. Middle East Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 245. Middle East Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 246. Africa Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 247. Africa Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 248. Africa Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 249. Africa Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 250. North America Big Data Analytics in Transportation, by Country USD Million (2021-2026)
  • Table 251. North America Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 252. North America Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 253. North America Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 254. North America Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 255. United States Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 256. United States Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 257. United States Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 258. United States Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 259. Canada Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 260. Canada Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 261. Canada Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 262. Canada Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 263. Mexico Big Data Analytics in Transportation, by Type USD Million (2021-2026)
  • Table 264. Mexico Big Data Analytics in Transportation, by Application USD Million (2021-2026)
  • Table 265. Mexico Big Data Analytics in Transportation, by Deployment USD Million (2021-2026)
  • Table 266. Mexico Big Data Analytics in Transportation, by Usages USD Million (2021-2026)
  • Table 267. Research Programs/Design for This Report
  • Table 268. Key Data Information from Secondary Sources
  • Table 269. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Big Data Analytics in Transportation: by Type USD Million (2015-2020)
  • Figure 5. Global Big Data Analytics in Transportation: by Application USD Million (2015-2020)
  • Figure 6. Global Big Data Analytics in Transportation: by Deployment USD Million (2015-2020)
  • Figure 7. Global Big Data Analytics in Transportation: by Usages USD Million (2015-2020)
  • Figure 8. South America Big Data Analytics in Transportation Share (%), by Country
  • Figure 9. Asia Pacific Big Data Analytics in Transportation Share (%), by Country
  • Figure 10. Europe Big Data Analytics in Transportation Share (%), by Country
  • Figure 11. MEA Big Data Analytics in Transportation Share (%), by Country
  • Figure 12. North America Big Data Analytics in Transportation Share (%), by Country
  • Figure 13. Global Big Data Analytics in Transportation share by Players 2020 (%)
  • Figure 14. Global Big Data Analytics in Transportation share by Players (Top 3) 2020(%)
  • Figure 15. Global Big Data Analytics in Transportation share by Players (Top 5) 2020(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 18. IBM Corporation (United States) Revenue: by Geography 2020
  • Figure 19. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 20. Microsoft Corporation (United States) Revenue: by Geography 2020
  • Figure 21. Amazon Web Services (United States) Revenue, Net Income and Gross profit
  • Figure 22. Amazon Web Services (United States) Revenue: by Geography 2020
  • Figure 23. SAP SE (Germany) Revenue, Net Income and Gross profit
  • Figure 24. SAP SE (Germany) Revenue: by Geography 2020
  • Figure 25. Oracle Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 26. Oracle Corporation (United States) Revenue: by Geography 2020
  • Figure 27. Splunk Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 28. Splunk Inc. (United States) Revenue: by Geography 2020
  • Figure 29. Hewlett-Packard Co. (United States) Revenue, Net Income and Gross profit
  • Figure 30. Hewlett-Packard Co. (United States) Revenue: by Geography 2020
  • Figure 31. Teradata Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 32. Teradata Corporation (United States) Revenue: by Geography 2020
  • Figure 33. Cloudera Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 34. Cloudera Inc. (United States) Revenue: by Geography 2020
  • Figure 37. Global Big Data Analytics in Transportation: by Type USD Million (2021-2026)
  • Figure 38. Global Big Data Analytics in Transportation: by Application USD Million (2021-2026)
  • Figure 39. Global Big Data Analytics in Transportation: by Deployment USD Million (2021-2026)
  • Figure 40. Global Big Data Analytics in Transportation: by Usages USD Million (2021-2026)
  • Figure 41. South America Big Data Analytics in Transportation Share (%), by Country
  • Figure 42. Asia Pacific Big Data Analytics in Transportation Share (%), by Country
  • Figure 43. Europe Big Data Analytics in Transportation Share (%), by Country
  • Figure 44. MEA Big Data Analytics in Transportation Share (%), by Country
  • Figure 45. North America Big Data Analytics in Transportation Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • IBM Corporation (United States)
  • Microsoft Corporation (United States)
  • Amazon Web Services (United States)
  • SAP SE (Germany)
  • Oracle Corporation (United States)
  • Splunk Inc. (United States)
  • Hewlett-Packard Co. (United States)
  • Teradata Corporation (United States)
  • Cloudera Inc. (United States)
  • Tableau Software, Inc (United States)
Additional players considered in the study are as follows:
Accenture (Ireland) , Informatica (United States) , Teradata (United States) , Palantir (United States)
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