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Global Big Data Analytics in Transportation Market Size, Status and Forecast 2021-2027


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.

In 2021, the global Big Data Analytics in Transportation market size will be US$ XX million and it is expected to reach US$ XX million by the end of 2027, with a CAGR of XX% during 2021-2027.
This report focuses on the global Big Data Analytics in Transportation status, future forecast, growth opportunity, key market, and key players. The study objectives are to present the Big Data Analytics in Transportation development in North America, Europe, Japan, China, Southeast Asia, India, etc.

Global Big Data Analytics in Transportation Scope and Market Size
Big Data Analytics in Transportation market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Big Data Analytics in Transportation market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Segment by Type
    Software & Service
    Platform

Segment by Application
    Highway
    Railway
    Water Transport
    Air Transport
    Pipeline
    Others

By Region
    North America
    Europe
    Japan
    China
    Southeast Asia
    India

By Company
    IBM
    Microsoft
    Qlik Technologies
    Amazon (AWS)
    SAP
    Oracle
    Splunk
    HPE
    Teradata
    Cloudera
    Tableau Software
    Micro Focus
    Accenture
    Informatica
    Teradata
    Palantir
    Cisco
    SAS
1 Report Overview
    1.1 Study Scope
    1.2 Market Analysis by Type
        1.2.1 Global Big Data Analytics in Transportation Market Size Growth Rate by Type (2021-2027)
        1.2.2 Software & Service
        1.2.3 Platform
    1.3 Market by Application
        1.3.1 Global Big Data Analytics in Transportation Market Share by Application (2021-2027)
        1.3.2 Highway
        1.3.3 Railway
        1.3.4 Water Transport
        1.3.5 Air Transport
        1.3.6 Pipeline
        1.3.7 Others
    1.4 Study Objectives
    1.5 Years Considered

2 Executive Summary
    2.1 Global Big Data Analytics in Transportation Market Size
     2.2 Big Data Analytics in Transportation Market Size by Regions
        2.2.1 Big Data Analytics in Transportation Growth Rate by Regions (2021-2027)
        2.2.2 Big Data Analytics in Transportation Market Share by Regions (2021-2027)
    2.3 Industry Trends
        2.3.1 Market Top Trends
        2.3.2 Market Use Cases

3 Key Players
    3.1 Big Data Analytics in Transportation Revenue by Players (2020-2021)
    3.2 Big Data Analytics in Transportation Key Players Headquaters and Area Served
    3.3 Key Players Big Data Analytics in Transportation Product/Solution/Service
    3.4 Date of Enter into Big Data Analytics in Transportation Market
    3.5 Mergers & Acquisitions, Expansion Plans

4 Breakdown by Type and by Application
    4.1 Global Big Data Analytics in Transportation Market Size by Type (2021-2027)
    4.2 Global Big Data Analytics in Transportation Market Size by Application (2021-2027)

5 North America
   5.1 North America Big Data Analytics in Transportation Market Forecast (2021-2027)
    5.2 Big Data Analytics in Transportation Key Players in North America
    5.3 North America Big Data Analytics in Transportation Market Size by Type
    5.4 North America Big Data Analytics in Transportation Market Size by Application
        6.4.4 Canada

6 Europe
    6.1 Europe Big Data Analytics in Transportation Market Forecast (2021-2027)
    6.2 Big Data Analytics in Transportation Key Players in Europe
    6.3 Europe Big Data Analytics in Transportation Market Size by Type
    6.4 Europe Big Data Analytics in Transportation Market Size by Application

7 Japan
    7.1 Japan Big Data Analytics in Transportation Market Forecast (2021-2027)
    7.2 Big Data Analytics in Transportation Key Players in Europe
    7.3 Japan Big Data Analytics in Transportation Market Size by Type
    7.4 Japan Big Data Analytics in Transportation Market Size by Application

8 Rest of World
    8.1 China
        8.1.1 China Big Data Analytics in Transportation Market Analysis
        8.1.2 Key Players in China
    8.2 Southeast Asia
        8.2.1 Southeast Asia Big Data Analytics in Transportation Market Analysis
        8.2.2 Key Players in Southeast Asia
    8.3 India
        8.3.1 India Big Data Analytics in Transportation Market Analysis
        8.3.2 Key Players in India


9 International Player Profiles
    9.1 IBM
        9.1.1 IBM Company Details
        9.1.2 IBM Description and Business Overview
        9.1.3 IBM Big Data Analytics in Transportation Introduction
        9.1.4 IBM Revenue in Big Data Analytics in Transportation Business (2020-2021)
        9.1.5 IBM Recent Development
    9.2 Microsoft
        9.2.1 Microsoft Company Details
        9.2.2 Microsoft Description and Business Overview
        9.2.3 Microsoft Big Data Analytics in Transportation Introduction
        9.2.4 Microsoft Revenue in Big Data Analytics in Transportation Business (2020-2021)
        9.2.5 Microsoft Recent Development
    9.3 Qlik Technologies
        9.3.1 Qlik Technologies Company Details
        9.3.2 Qlik Technologies Description and Business Overview
        9.3.3 Qlik Technologies Big Data Analytics in Transportation Introduction
        9.3.4 Qlik Technologies Revenue in Big Data Analytics in Transportation Business (2020-2021)
        9.3.5 Qlik Technologies Recent Development
    9.4 Amazon (AWS)
        9.4.1 Amazon (AWS) Company Details
        9.4.2 Amazon (AWS) Description and Business Overview
        9.4.3 Amazon (AWS) Big Data Analytics in Transportation Introduction
        9.4.4 Amazon (AWS) Revenue in Big Data Analytics in Transportation Business (2020-2021)
        9.4.5 Amazon (AWS) Recent Development
    9.5 SAP
        9.5.1 SAP Company Details
        9.5.2 SAP Description and Business Overview
        9.5.3 SAP Big Data Analytics in Transportation Introduction
        9.5.4 SAP Revenue in Big Data Analytics in Transportation Business (2020-2021)
        9.5.5 SAP Recent Development
    9.6 Oracle
        9.6.1 Oracle Company Details
        9.6.2 Oracle Description and Business Overview
        9.6.3 Oracle Big Data Analytics in Transportation Introduction
        9.6.4 Oracle Revenue in Big Data Analytics in Transportation Business (2020-2021)
        9.6.5 Oracle Recent Development
    9.7 Splunk
        9.7.1 Splunk Company Details
        9.7.2 Splunk Description and Business Overview
        9.7.3 Splunk Big Data Analytics in Transportation Introduction
        9.7.4 Splunk Revenue in Big Data Analytics in Transportation Business (2020-2021)
        9.7.5 Splunk Recent Development
    9.8 HPE
        9.8.1 HPE Company Details
        9.8.2 HPE Description and Business Overview
        9.8.3 HPE Big Data Analytics in Transportation Introduction
        9.8.4 HPE Revenue in Big Data Analytics in Transportation Business (2020-2021)
        9.8.5 HPE Recent Development
    9.9 Teradata
        9.9.1 Teradata Company Details
        9.9.2 Teradata Description and Business Overview
        9.9.3 Teradata Big Data Analytics in Transportation Introduction
        9.9.4 Teradata Revenue in Big Data Analytics in Transportation Business (2020-2021)
        9.9.5 Teradata Recent Development
    9.10 Cloudera
        9.10.1 Cloudera Company Details
        9.10.2 Cloudera Description and Business Overview
        9.10.3 Cloudera Big Data Analytics in Transportation Introduction
        9.10.4 Cloudera Revenue in Big Data Analytics in Transportation Business (2020-2021)
        9.10.5 Cloudera Recent Development
    9.11 Tableau Software
        9.11.1 Tableau Software Company Details
        9.11.2 Tableau Software Description and Business Overview
        9.11.3 Tableau Software Big Data Analytics in Transportation Introduction
        9.11.4 Tableau Software Revenue in Big Data Analytics in Transportation Business (2020-2021)
        9.11.5 Tableau Software Recent Development
    9.12 Micro Focus
        9.12.1 Micro Focus Company Details
        9.12.2 Micro Focus Description and Business Overview
        9.12.3 Micro Focus Big Data Analytics in Transportation Introduction
        9.12.4 Micro Focus Revenue in Big Data Analytics in Transportation Business (2020-2021)
        9.12.5 Micro Focus Recent Development
    9.13 Accenture
        9.13.1 Accenture Company Details
        9.13.2 Accenture Description and Business Overview
        9.13.3 Accenture Big Data Analytics in Transportation Introduction
        9.13.4 Accenture Revenue in Big Data Analytics in Transportation Business (2020-2021)
        9.13.5 Accenture Recent Development
    9.14 Informatica
        9.14.1 Informatica Company Details
        9.14.2 Informatica Description and Business Overview
        9.14.3 Informatica Big Data Analytics in Transportation Introduction
        9.14.4 Informatica Revenue in Big Data Analytics in Transportation Business (2020-2021)
        9.14.5 Informatica Recent Development
    9.15 Teradata
        9.15.1 Teradata Company Details
        9.15.2 Teradata Description and Business Overview
        9.15.3 Teradata Big Data Analytics in Transportation Introduction
        9.15.4 Teradata Revenue in Big Data Analytics in Transportation Business (2020-2021)
        9.15.5 Teradata Recent Development
    9.16 Palantir
        9.16.1  Company Details
        9.16.2 Palantir Description and Business Overview
        9.16.3 Palantir Big Data Analytics in Transportation Introduction
        9.16.4 Palantir Revenue in Big Data Analytics in Transportation Business (2020-2021)
        9.16.5 Palantir Recent Development
    9.17 Cisco
        9.17.1 Cisco Company Details
        9.17.2 Cisco Description and Business Overview
        9.17.3 Cisco Big Data Analytics in Transportation Introduction
        9.17.4 Cisco Revenue in Big Data Analytics in Transportation Business (2020-2021)
        9.17.5 Cisco Recent Development
    9.18 SAS
        9.18.1 SAS Company Details
        9.18.2 SAS Description and Business Overview
        9.18.3 SAS Big Data Analytics in Transportation Introduction
        9.18.4 SAS Revenue in Big Data Analytics in Transportation Business (2020-2021)
        9.18.5 SAS Recent Development

10 Market Dynamics
    10.1 Industry Trends
    10.2 Market Drives
    10.3 Market Challenges
    10.4 Market Restraints

11 Key Findings in This Report
12 Appendix
    12.1 Research Methodology
        12.1.1 Methodology/Research Approach
        12.1.2 Data Source
    12.2 Disclaimer
    12.3 Author Details

List of Tables Table 1. Global Big Data Analytics in Transportation Market Size Growth Rate by Type (2021-2027) (US$ Million) Table 2. Key Players of Software & Service Table 3. Key Players of Platform Table 4. Global Big Data Analytics in Transportation Market Size Growth by Application (2021-2027) (US$ Million) Table 5. Global Big Data Analytics in Transportation Market Size by Regions (2021-2027) (US$ Million) Table 6. Global Big Data Analytics in Transportation Market Share by Regions (2021-2027) Table 7. Market Top Trends Table 8. Market Use Cases Table 9. Global Big Data Analytics in Transportation Revenue by Players (2020-2021) (US$ Million) Table 10. Global Big Data Analytics in Transportation Market Share by Players (2020-2021) Table 11. Key Players Headquarters and Area Served Table 12. Key Players Big Data Analytics in Transportation Product Solution and Service Table 13. Date of Enter into Big Data Analytics in Transportation Market Table 14. Mergers & Acquisitions, Expansion Plans Table 15. Global Big Data Analytics in Transportation Market Size by Type (2021-2027) (US$ Million) Table 16. Global Big Data Analytics in Transportation Market Size Share by Type (2021-2027) Table 17. Global Big Data Analytics in Transportation Market Size by Application (2021-2027) (US$ Million) Table 18. Global Big Data Analytics in Transportation Market Size Share by Application (2021-2027) Table 19. North America Key Players Big Data Analytics in Transportation Revenue (2020-2021) (US$ Million) Table 20. North America Key Players Big Data Analytics in Transportation Market Share (2020-2021) Table 21. North America Big Data Analytics in Transportation Market Size by Type (2021-2027) (US$ Million) Table 22. North America Big Data Analytics in Transportation Market Share by Type (2021-2027) Table 23. North America Big Data Analytics in Transportation Market Size by Application (2021-2027) (US$ Million) Table 24. North America Big Data Analytics in Transportation Market Share by Application (2021-2027) Table 25. Europe Key Players Big Data Analytics in Transportation Revenue (2020-2021) (US$ Million) Table 26. Europe Key Players Big Data Analytics in Transportation Market Share (2020-2021) Table 27. Europe Big Data Analytics in Transportation Market Size by Type (2021-2027) (US$ Million) Table 28. Europe Big Data Analytics in Transportation Market Share by Type (2021-2027) Table 29. Europe Big Data Analytics in Transportation Market Size by Application (2021-2027) (US$ Million) Table 30. Europe Big Data Analytics in Transportation Market Share by Application (2021-2027) Table 31. Japan Key Players Big Data Analytics in Transportation Revenue (2020-2021) (US$ Million) Table 32. Japan Key Players Big Data Analytics in Transportation Market Share (2020-2021) Table 33. Japan Big Data Analytics in Transportation Market Size by Type (2021-2027) (US$ Million) Table 34. Japan Big Data Analytics in Transportation Market Share by Type (2021-2027) Table 35. Japan Big Data Analytics in Transportation Market Size by Application (2021-2027) (US$ Million) Table 36. Japan Big Data Analytics in Transportation Market Share by Application (2021-2027) Table 37. Key Players in China Table 38. Key Players in Southeast Asia Table 39. Key Players in India Table 40. IBM Company Details Table 41. IBM Description and Business Overview Table 42. IBM Big Data Analytics in Transportation Product Table 43. IBM Revenue in Big Data Analytics in Transportation Business 2020 and 2021 Table 44. IBM Recent Development Table 45. Microsoft Company Details Table 46. Microsoft Description and Business Overview Table 47. Microsoft Big Data Analytics in Transportation Product Table 48. Microsoft Revenue in Big Data Analytics in Transportation Business 2020 and 2021 Table 49. Microsoft Recent Development Table 50. Qlik Technologies Company Details Table 51. Qlik Technologies Description and Business Overview Table 52. Qlik Technologies Big Data Analytics in Transportation Product Table 53. Qlik Technologies Revenue in Big Data Analytics in Transportation Business 2020 and 2021 Table 54. Qlik Technologies Recent Development Table 55. Amazon (AWS) Company Details Table 56. Amazon (AWS) Description and Business Overview Table 57. Amazon (AWS) Big Data Analytics in Transportation Product Table 58. Amazon (AWS) Revenue in Big Data Analytics in Transportation Business 2020 and 2021 Table 59. Amazon (AWS) Recent Development Table 60. SAP Company Details Table 61. SAP Description and Business Overview Table 62. SAP Big Data Analytics in Transportation Product Table 63. SAP Revenue in Big Data Analytics in Transportation Business 2020 and 2021 Table 64. SAP Recent Development Table 65. Oracle Company Details Table 66. Oracle Description and Business Overview Table 67. Oracle Big Data Analytics in Transportation Product Table 68. Oracle Revenue in Big Data Analytics in Transportation Business 2020 and 2021 Table 69. Oracle Recent Development Table 70. Splunk Company Details Table 71. Splunk Description and Business Overview Table 72. Splunk Big Data Analytics in Transportation Product Table 73. Splunk Revenue in Big Data Analytics in Transportation Business 2020 and 2021 Table 74. Splunk Recent Development Table 75. HPE Company Details Table 76. HPE Description and Business Overview Table 77. HPE Big Data Analytics in Transportation Product Table 78. HPE Revenue in Big Data Analytics in Transportation Business 2020 and 2021 Table 79. HPE Recent Development Table 80. Teradata Company Details Table 81. Teradata Description and Business Overview Table 82. Teradata Big Data Analytics in Transportation Product Table 83. Teradata Revenue in Big Data Analytics in Transportation Business 2020 and 2021 Table 84. Teradata Recent Development Table 85. Cloudera Company Details Table 86. Cloudera Description and Business Overview Table 87. Cloudera Big Data Analytics in Transportation Product Table 88. Cloudera Revenue in Big Data Analytics in Transportation Business 2020 and 2021 Table 89. Cloudera Recent Development Table 90. Tableau Software Company Details Table 91. Tableau Software Description and Business Overview Table 92. Tableau Software Big Data Analytics in Transportation Product Table 93. Tableau Software Revenue in Big Data Analytics in Transportation Business 2020 and 2021 Table 94. Tableau Software Recent Development Table 95. Micro Focus Company Details Table 96. Micro Focus Description and Business Overview Table 97. Micro Focus Big Data Analytics in Transportation Product Table 98. Micro Focus Revenue in Big Data Analytics in Transportation Business 2020 and 2021 Table 99. Micro Focus Recent Development Table 100. Accenture Company Details Table 101. Accenture Description and Business Overview Table 102. Accenture Big Data Analytics in Transportation Product Table 103. Accenture Revenue in Big Data Analytics in Transportation Business 2020 and 2021 Table 104. Accenture Recent Development Table 105. Informatica Company Details Table 106. Informatica Description and Business Overview Table 107. Informatica Big Data Analytics in Transportation Product Table 108. Informatica Revenue in Big Data Analytics in Transportation Business 2020 and 2021 Table 109. Informatica Recent Development Table 110. Teradata Company Details Table 111. Teradata Description and Business Overview Table 112. Teradata Big Data Analytics in Transportation Product Table 113. Teradata Revenue in Big Data Analytics in Transportation Business 2020 and 2021 Table 114. Teradata Recent Development Table 115. Palantir Company Details Table 116. Palantir Description and Business Overview Table 117. Palantir Big Data Analytics in Transportation Product Table 118. Palantir Revenue in Big Data Analytics in Transportation Business 2020 and 2021 Table 119. Palantir Recent Development Table 120. Cisco Company Details Table 121. Cisco Description and Business Overview Table 122. Cisco Big Data Analytics in Transportation Product Table 123. Cisco Revenue in Big Data Analytics in Transportation Business 2020 and 2021 Table 124. Cisco Recent Development Table 125. SAS Company Details Table 126. SAS Description and Business Overview Table 127. SAS Big Data Analytics in Transportation Product Table 128. SAS Revenue in Big Data Analytics in Transportation Business 2020 and 2021 Table 129. SAS Recent Development Table 130. Big Data Analytics in Transportation Market Trends Table 131. Big Data Analytics in Transportation Market Drivers Table 132. Big Data Analytics in Transportation Market Challenges Table 133. Big Data Analytics in Transportation Market Restraints Table 134. Research Programs/Design for This Report Table 135. Key Data Information from Secondary Sources Table 136. Key Data Information from Primary Sources List of Figures Figure 1. Global Big Data Analytics in Transportation Market Share by Type in 2021 & 2027 Figure 2. Software & Service Features Figure 3. Platform Features Figure 4. Global Big Data Analytics in Transportation Market Share by Application in 2021 & 2027 Figure 5. Highway Case Studies Figure 6. Railway Case Studies Figure 7. Water Transport Case Studies Figure 8. Air Transport Case Studies Figure 9. Pipeline Case Studies Figure 10. Others Case Studies Figure 11. Big Data Analytics in Transportation Report Years Considered Figure 12. Global Big Data Analytics in Transportation Market Size and Growth Rate (2020-2027) (US$ Million) Figure 13. Global Big Data Analytics in Transportation Market Share by Regions (2020-2027) Figure 14. Global Big Data Analytics in Transportation Market Share by Players in 2021 Figure 15. Global Big Data Analytics in Transportation Market Size Market Share by Type (2021-2027) Figure 16. Global Big Data Analytics in Transportation Market Size Market Share by Application (2021-2027) Figure 17. Global Big Data Analytics in Transportation Revenue Market Share by Application in 2021 Figure 18. North America Big Data Analytics in Transportation Market Size 2021-2027 (US$ Million) Figure 19. Europe Big Data Analytics in Transportation Market Size 2021-2027 (US$ Million) Figure 20. Japan Big Data Analytics in Transportation Market Size 2021-2027 (US$ Million) Figure 21. Big Data Analytics in Transportation Market Size in China (2021-2027) (US$ Million) Figure 22. Big Data Analytics in Transportation Market Size in Southeast Asia (2021-2027) (US$ Million) Figure 23. Big Data Analytics in Transportation Market Size in India (2021-2027) (US$ Million) Figure 24. Bottom-up and Top-down Approaches for This Report Figure 25. Data Triangulation Figure 26. Key Executives Interviewed

This research study involved the extensive usage of both primary and secondary data sources.  The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. Top-down and bottom-up approaches are used to validate the global market size market and estimate the market size for manufacturers, regions segments, product segments and applications (end users). All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or other factors are not accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from QYResearch and presented in this report.
 

After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation, extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub segments listed in this report. Extensive qualitative and further quantitative analysis is also done from all the numbers arrived at in the complete market engineering process to list key information throughout the report.
 

Secondary Sources occupies Approximately 25% of Sources, such as press releases, annual reports, Non-Profit organizations, industry associations, governmental agencies and customs data, and so on; This research study involved the usage of widespread secondary sources; directories; databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), TRADING ECONOMICS, and avention; Investing News Network; statista; Federal Reserve Economic Data; annual reports; BIS Statistics; ICIS; company house documents; CAS(American Chemical Society); investor presentations; and SEC filings of companies. Secondary research was used to identify and collect information useful for the extensive, technical, market-oriented, and commercial study of the Light Aircraft market. It was also used to obtain important information about the top players, market classification and segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives.
 

In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product manufacturers (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers etc.
 

The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end users (product buyers), and related key executives from various key companies and organizations operating in the global market.
 

Primary research was conducted to identify segmentation types, product price range, product applications, key players, raw materials supply and the downstream demand, industry status and outlook, and key market dynamics such as risks, influence factors, opportunities, market barriers, industry trends, and key player strategies.
 

Publisher: QY Research
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