Global Marine Big Data research

Marine Big Data Comprehensive Study by Application (Marine Freight and Shipping, Fishery Industry, Oil and Gas/ Hydrocarbon offshore Extraction, Naval Security, Maritime Traffic, Others), Data Source (Trade and Commerce Data, Geological Data, Oceanographic Data, Maritime traffic Data, Others), Component (Software (Big Data Analytics, Data Management, Data Visualization, Others), Services ( Consulting, Support and Maintenance, Operations, Others)), End Use (Shipping and Logistics, Consultancy and Research Firms, Military, Fishery Industry, Government, Others), Deployment (Cloud Based, On Premises Based) Players and Region - Global Market Outlook to 2030

Marine Big Data Market by XX Submarkets | Forecast Years 2024-2030  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Marine Big Data
Marine Big Data is the collection of large data sets collected from conventional data sources such as inventory, warehouses, distribution nodes, ship sensors, etc. and analysing them with big data analytical tools to accurately carry out predictive analysis, which helps to prevent delay and improve operational efficiency. Increased investments to digitize by the end users of marine sector will help spur the growth of marine big data in coming decade.

AttributesDetails
Study Period2018-2030
Base Year2023
UnitValue (USD Million)


Maine sector is ever growing and reaching new heights every year. Technology always has been at centre for the sector’s growth and success. Thus, with emergence of new digital era, technologies such as Artificial Intelligence, block chain and big data also become necessity for the growth of sector. Though the emergence of big data in marine sector does introduce some unique set of challenges such as inadequate amount of skilled personals in the field and scarcity of data. As more and more firms operating in marine related field adopt smart use of big data, more will the marine sector be benefitted. Established and emerging Manufacturers should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

Teradata Corporation (United States), BigOceanData (London), Splunk, Inc. (United States), Datameer Inc. (United States), IBM (United States), A.P. Moller-Maersk A/S (Denmark), Databricks Inc. (United States), Avenca Limited (United Kingdom), Microsoft Corporation (United States), Intertrust Technologies Corporation (United States), Hitachi Vantara Corporation (United States), BMT Group Ltd. (United Kingdom), SAP (Germany), TIBCO Software (United States) and Qlik (United States) are some of the key players that are part of study coverage.

Segmentation Overview
AMA Research has segmented the market of Global Marine Big Data market by , Application (Marine Freight and Shipping, Fishery Industry, Oil and Gas/ Hydrocarbon offshore Extraction, Naval Security, Maritime Traffic and Others) and Region.



On the basis of geography, the market of Marine Big Data 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). If we see Market by Data Source , the sub-segment i.e. Trade and Commerce Data will boost the Marine Big Data market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Component , the sub-segment i.e. Software (Big Data Analytics, Data Management, Data Visualization, Others) will boost the Marine Big Data market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by End Use, the sub-segment i.e. Shipping and Logistics will boost the Marine Big Data market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Deployment, the sub-segment i.e. Cloud Based will boost the Marine Big Data market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Inclusion of Artificial Intelligence and Machine Learning in Logistics and Shipping and Big Data is used to Reduce Bunker Costs

Market Growth Drivers:
Rise in Global Maritime Trade, Increase in Volume of Fright Shipped Over Oceans, Increased Investments in Digitising of Logistics and Transportation Networks and Rise in Data Collection & Increasing Demand for Data Derived Insights

Challenges:
High Costs of Big Data Tools, Privacy Concerns of Data and Difficulties in Integration of Big Data Structures or Mechanism with Existing Systems

Restraints:
Lack of Skilled Professionals Working in the Field of Big Data and Data Breach Due to Cyber Attacks

Opportunities:
Strategic Partnerships with Tech Giants and Tech Companies Helping Governments, Fishery and Shipping Companies Develop Big Data

Market Leaders and their expansionary development strategies
Yara Marine Technologies (YMT) a subsidiary of Norwegian chemical company Yara International, is focused on the development of vessel optimisation and decarbonisation technologies has acquired by Geneva-based Okapi Supply Trading Advisory to expand its maritime portfolio.“This aligns closely with the ambition to offer customers easier pathways towards greening their operations.
In February 2024, Wireless vessel data technology company ScanReach has launched a new NMEA Communication Node, to streamline navigational data collection from shipboard equipment utilising the NMEA (National Marine Electronics Association) standard communication format.The system is particularly focused on enabling access to NMEA 0183 data from various marine electronic devices, such as GPS receivers, anemometers, speed logs, autopilots, and other navigational instruments.


Key Target Audience
Marine Big Data Providers, New Entrants/Investors, Venture Capitalists and Private Equity Firms, Consultancy and Research Firms, Analysts and Strategic Business Planners, Government and End User Industries

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Application
  • Marine Freight and Shipping
  • Fishery Industry
  • Oil and Gas/ Hydrocarbon offshore Extraction
  • Naval Security
  • Maritime Traffic
  • Others
By Data Source
  • Trade and Commerce Data
  • Geological Data
  • Oceanographic Data
  • Maritime traffic Data
  • Others

By Component
  • Software (Big Data Analytics, Data Management, Data Visualization, Others)
  • Services ( Consulting, Support and Maintenance, Operations, Others)

By End Use
  • Shipping and Logistics
  • Consultancy and Research Firms
  • Military
  • Fishery Industry
  • Government
  • Others

By Deployment
  • Cloud Based
  • On Premises Based

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. Rise in Global Maritime Trade
      • 3.2.2. Increase in Volume of Fright Shipped Over Oceans
      • 3.2.3. Increased Investments in Digitising of Logistics and Transportation Networks
      • 3.2.4. Rise in Data Collection & Increasing Demand for Data Derived Insights
    • 3.3. Market Challenges
      • 3.3.1. High Costs of Big Data Tools
      • 3.3.2. Privacy Concerns of Data
      • 3.3.3. Difficulties in Integration of Big Data Structures or Mechanism with Existing Systems
    • 3.4. Market Trends
      • 3.4.1. Inclusion of Artificial Intelligence and Machine Learning in Logistics and Shipping
      • 3.4.2. Big Data is used to Reduce Bunker Costs
  • 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 Marine Big Data, by Application, Data Source , Component , End Use, Deployment and Region (value and price ) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global Marine Big Data (Value)
      • 5.2.1. Global Marine Big Data by: Application (Value)
        • 5.2.1.1. Marine Freight and Shipping
        • 5.2.1.2. Fishery Industry
        • 5.2.1.3. Oil and Gas/ Hydrocarbon offshore Extraction
        • 5.2.1.4. Naval Security
        • 5.2.1.5. Maritime Traffic
        • 5.2.1.6. Others
      • 5.2.2. Global Marine Big Data by: End Use (Value)
        • 5.2.2.1. Shipping and Logistics
        • 5.2.2.2. Consultancy and Research Firms
        • 5.2.2.3. Military
        • 5.2.2.4. Fishery Industry
        • 5.2.2.5. Government
        • 5.2.2.6. Others
      • 5.2.3. Global Marine Big Data by: Deployment (Value)
        • 5.2.3.1. Cloud Based
        • 5.2.3.2. On Premises Based
      • 5.2.4. Global Marine Big Data Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
    • 5.3. Global Marine Big Data (Price)
  • 6. Marine Big Data: 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 (2023)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Teradata 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. BigOceanData (London)
        • 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. Splunk, Inc. (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. Datameer Inc. (United States)
        • 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. IBM (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. A.P. Moller-Maersk A/S (Denmark)
        • 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. Databricks Inc. (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. Avenca Limited (United Kingdom)
        • 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. Microsoft Corporation (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. Intertrust Technologies Corporation (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
      • 6.4.11. Hitachi Vantara Corporation (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. BMT Group Ltd. (United Kingdom)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. SAP (Germany)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
      • 6.4.14. TIBCO Software (United States)
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
      • 6.4.15. Qlik (United States)
        • 6.4.15.1. Business Overview
        • 6.4.15.2. Products/Services Offerings
        • 6.4.15.3. Financial Analysis
        • 6.4.15.4. SWOT Analysis
  • 7. Global Marine Big Data Sale, by Application, Data Source , Component , End Use, Deployment and Region (value and price ) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global Marine Big Data (Value)
      • 7.2.1. Global Marine Big Data by: Application (Value)
        • 7.2.1.1. Marine Freight and Shipping
        • 7.2.1.2. Fishery Industry
        • 7.2.1.3. Oil and Gas/ Hydrocarbon offshore Extraction
        • 7.2.1.4. Naval Security
        • 7.2.1.5. Maritime Traffic
        • 7.2.1.6. Others
      • 7.2.2. Global Marine Big Data by: End Use (Value)
        • 7.2.2.1. Shipping and Logistics
        • 7.2.2.2. Consultancy and Research Firms
        • 7.2.2.3. Military
        • 7.2.2.4. Fishery Industry
        • 7.2.2.5. Government
        • 7.2.2.6. Others
      • 7.2.3. Global Marine Big Data by: Deployment (Value)
        • 7.2.3.1. Cloud Based
        • 7.2.3.2. On Premises Based
      • 7.2.4. Global Marine Big Data Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
    • 7.3. Global Marine Big Data (Price)
  • 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. Marine Big Data: by Application(USD Million)
  • Table 2. Marine Big Data Marine Freight and Shipping , by Region USD Million (2018-2023)
  • Table 3. Marine Big Data Fishery Industry , by Region USD Million (2018-2023)
  • Table 4. Marine Big Data Oil and Gas/ Hydrocarbon offshore Extraction , by Region USD Million (2018-2023)
  • Table 5. Marine Big Data Naval Security , by Region USD Million (2018-2023)
  • Table 6. Marine Big Data Maritime Traffic , by Region USD Million (2018-2023)
  • Table 7. Marine Big Data Others , by Region USD Million (2018-2023)
  • Table 8. Marine Big Data: by End Use(USD Million)
  • Table 9. Marine Big Data Shipping and Logistics , by Region USD Million (2018-2023)
  • Table 10. Marine Big Data Consultancy and Research Firms , by Region USD Million (2018-2023)
  • Table 11. Marine Big Data Military , by Region USD Million (2018-2023)
  • Table 12. Marine Big Data Fishery Industry , by Region USD Million (2018-2023)
  • Table 13. Marine Big Data Government , by Region USD Million (2018-2023)
  • Table 14. Marine Big Data Others , by Region USD Million (2018-2023)
  • Table 15. Marine Big Data: by Deployment(USD Million)
  • Table 16. Marine Big Data Cloud Based , by Region USD Million (2018-2023)
  • Table 17. Marine Big Data On Premises Based , by Region USD Million (2018-2023)
  • Table 18. South America Marine Big Data, by Country USD Million (2018-2023)
  • Table 19. South America Marine Big Data, by Application USD Million (2018-2023)
  • Table 20. South America Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 21. South America Marine Big Data, by Component USD Million (2018-2023)
  • Table 22. South America Marine Big Data, by End Use USD Million (2018-2023)
  • Table 23. South America Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 24. Brazil Marine Big Data, by Application USD Million (2018-2023)
  • Table 25. Brazil Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 26. Brazil Marine Big Data, by Component USD Million (2018-2023)
  • Table 27. Brazil Marine Big Data, by End Use USD Million (2018-2023)
  • Table 28. Brazil Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 29. Argentina Marine Big Data, by Application USD Million (2018-2023)
  • Table 30. Argentina Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 31. Argentina Marine Big Data, by Component USD Million (2018-2023)
  • Table 32. Argentina Marine Big Data, by End Use USD Million (2018-2023)
  • Table 33. Argentina Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 34. Rest of South America Marine Big Data, by Application USD Million (2018-2023)
  • Table 35. Rest of South America Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 36. Rest of South America Marine Big Data, by Component USD Million (2018-2023)
  • Table 37. Rest of South America Marine Big Data, by End Use USD Million (2018-2023)
  • Table 38. Rest of South America Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 39. Asia Pacific Marine Big Data, by Country USD Million (2018-2023)
  • Table 40. Asia Pacific Marine Big Data, by Application USD Million (2018-2023)
  • Table 41. Asia Pacific Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 42. Asia Pacific Marine Big Data, by Component USD Million (2018-2023)
  • Table 43. Asia Pacific Marine Big Data, by End Use USD Million (2018-2023)
  • Table 44. Asia Pacific Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 45. China Marine Big Data, by Application USD Million (2018-2023)
  • Table 46. China Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 47. China Marine Big Data, by Component USD Million (2018-2023)
  • Table 48. China Marine Big Data, by End Use USD Million (2018-2023)
  • Table 49. China Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 50. Japan Marine Big Data, by Application USD Million (2018-2023)
  • Table 51. Japan Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 52. Japan Marine Big Data, by Component USD Million (2018-2023)
  • Table 53. Japan Marine Big Data, by End Use USD Million (2018-2023)
  • Table 54. Japan Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 55. India Marine Big Data, by Application USD Million (2018-2023)
  • Table 56. India Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 57. India Marine Big Data, by Component USD Million (2018-2023)
  • Table 58. India Marine Big Data, by End Use USD Million (2018-2023)
  • Table 59. India Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 60. South Korea Marine Big Data, by Application USD Million (2018-2023)
  • Table 61. South Korea Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 62. South Korea Marine Big Data, by Component USD Million (2018-2023)
  • Table 63. South Korea Marine Big Data, by End Use USD Million (2018-2023)
  • Table 64. South Korea Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 65. Taiwan Marine Big Data, by Application USD Million (2018-2023)
  • Table 66. Taiwan Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 67. Taiwan Marine Big Data, by Component USD Million (2018-2023)
  • Table 68. Taiwan Marine Big Data, by End Use USD Million (2018-2023)
  • Table 69. Taiwan Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 70. Australia Marine Big Data, by Application USD Million (2018-2023)
  • Table 71. Australia Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 72. Australia Marine Big Data, by Component USD Million (2018-2023)
  • Table 73. Australia Marine Big Data, by End Use USD Million (2018-2023)
  • Table 74. Australia Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 75. Rest of Asia-Pacific Marine Big Data, by Application USD Million (2018-2023)
  • Table 76. Rest of Asia-Pacific Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 77. Rest of Asia-Pacific Marine Big Data, by Component USD Million (2018-2023)
  • Table 78. Rest of Asia-Pacific Marine Big Data, by End Use USD Million (2018-2023)
  • Table 79. Rest of Asia-Pacific Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 80. Europe Marine Big Data, by Country USD Million (2018-2023)
  • Table 81. Europe Marine Big Data, by Application USD Million (2018-2023)
  • Table 82. Europe Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 83. Europe Marine Big Data, by Component USD Million (2018-2023)
  • Table 84. Europe Marine Big Data, by End Use USD Million (2018-2023)
  • Table 85. Europe Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 86. Germany Marine Big Data, by Application USD Million (2018-2023)
  • Table 87. Germany Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 88. Germany Marine Big Data, by Component USD Million (2018-2023)
  • Table 89. Germany Marine Big Data, by End Use USD Million (2018-2023)
  • Table 90. Germany Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 91. France Marine Big Data, by Application USD Million (2018-2023)
  • Table 92. France Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 93. France Marine Big Data, by Component USD Million (2018-2023)
  • Table 94. France Marine Big Data, by End Use USD Million (2018-2023)
  • Table 95. France Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 96. Italy Marine Big Data, by Application USD Million (2018-2023)
  • Table 97. Italy Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 98. Italy Marine Big Data, by Component USD Million (2018-2023)
  • Table 99. Italy Marine Big Data, by End Use USD Million (2018-2023)
  • Table 100. Italy Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 101. United Kingdom Marine Big Data, by Application USD Million (2018-2023)
  • Table 102. United Kingdom Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 103. United Kingdom Marine Big Data, by Component USD Million (2018-2023)
  • Table 104. United Kingdom Marine Big Data, by End Use USD Million (2018-2023)
  • Table 105. United Kingdom Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 106. Netherlands Marine Big Data, by Application USD Million (2018-2023)
  • Table 107. Netherlands Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 108. Netherlands Marine Big Data, by Component USD Million (2018-2023)
  • Table 109. Netherlands Marine Big Data, by End Use USD Million (2018-2023)
  • Table 110. Netherlands Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 111. Rest of Europe Marine Big Data, by Application USD Million (2018-2023)
  • Table 112. Rest of Europe Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 113. Rest of Europe Marine Big Data, by Component USD Million (2018-2023)
  • Table 114. Rest of Europe Marine Big Data, by End Use USD Million (2018-2023)
  • Table 115. Rest of Europe Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 116. MEA Marine Big Data, by Country USD Million (2018-2023)
  • Table 117. MEA Marine Big Data, by Application USD Million (2018-2023)
  • Table 118. MEA Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 119. MEA Marine Big Data, by Component USD Million (2018-2023)
  • Table 120. MEA Marine Big Data, by End Use USD Million (2018-2023)
  • Table 121. MEA Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 122. Middle East Marine Big Data, by Application USD Million (2018-2023)
  • Table 123. Middle East Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 124. Middle East Marine Big Data, by Component USD Million (2018-2023)
  • Table 125. Middle East Marine Big Data, by End Use USD Million (2018-2023)
  • Table 126. Middle East Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 127. Africa Marine Big Data, by Application USD Million (2018-2023)
  • Table 128. Africa Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 129. Africa Marine Big Data, by Component USD Million (2018-2023)
  • Table 130. Africa Marine Big Data, by End Use USD Million (2018-2023)
  • Table 131. Africa Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 132. North America Marine Big Data, by Country USD Million (2018-2023)
  • Table 133. North America Marine Big Data, by Application USD Million (2018-2023)
  • Table 134. North America Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 135. North America Marine Big Data, by Component USD Million (2018-2023)
  • Table 136. North America Marine Big Data, by End Use USD Million (2018-2023)
  • Table 137. North America Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 138. United States Marine Big Data, by Application USD Million (2018-2023)
  • Table 139. United States Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 140. United States Marine Big Data, by Component USD Million (2018-2023)
  • Table 141. United States Marine Big Data, by End Use USD Million (2018-2023)
  • Table 142. United States Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 143. Canada Marine Big Data, by Application USD Million (2018-2023)
  • Table 144. Canada Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 145. Canada Marine Big Data, by Component USD Million (2018-2023)
  • Table 146. Canada Marine Big Data, by End Use USD Million (2018-2023)
  • Table 147. Canada Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 148. Mexico Marine Big Data, by Application USD Million (2018-2023)
  • Table 149. Mexico Marine Big Data, by Data Source USD Million (2018-2023)
  • Table 150. Mexico Marine Big Data, by Component USD Million (2018-2023)
  • Table 151. Mexico Marine Big Data, by End Use USD Million (2018-2023)
  • Table 152. Mexico Marine Big Data, by Deployment USD Million (2018-2023)
  • Table 153. Company Basic Information, Sales Area and Its Competitors
  • Table 154. Company Basic Information, Sales Area and Its Competitors
  • Table 155. Company Basic Information, Sales Area and Its Competitors
  • Table 156. Company Basic Information, Sales Area and Its Competitors
  • Table 157. Company Basic Information, Sales Area and Its Competitors
  • Table 158. Company Basic Information, Sales Area and Its Competitors
  • Table 159. Company Basic Information, Sales Area and Its Competitors
  • Table 160. Company Basic Information, Sales Area and Its Competitors
  • Table 161. Company Basic Information, Sales Area and Its Competitors
  • Table 162. Company Basic Information, Sales Area and Its Competitors
  • Table 163. Company Basic Information, Sales Area and Its Competitors
  • Table 164. Company Basic Information, Sales Area and Its Competitors
  • Table 165. Company Basic Information, Sales Area and Its Competitors
  • Table 166. Company Basic Information, Sales Area and Its Competitors
  • Table 167. Company Basic Information, Sales Area and Its Competitors
  • Table 168. Marine Big Data: by Application(USD Million)
  • Table 169. Marine Big Data Marine Freight and Shipping , by Region USD Million (2025-2030)
  • Table 170. Marine Big Data Fishery Industry , by Region USD Million (2025-2030)
  • Table 171. Marine Big Data Oil and Gas/ Hydrocarbon offshore Extraction , by Region USD Million (2025-2030)
  • Table 172. Marine Big Data Naval Security , by Region USD Million (2025-2030)
  • Table 173. Marine Big Data Maritime Traffic , by Region USD Million (2025-2030)
  • Table 174. Marine Big Data Others , by Region USD Million (2025-2030)
  • Table 175. Marine Big Data: by End Use(USD Million)
  • Table 176. Marine Big Data Shipping and Logistics , by Region USD Million (2025-2030)
  • Table 177. Marine Big Data Consultancy and Research Firms , by Region USD Million (2025-2030)
  • Table 178. Marine Big Data Military , by Region USD Million (2025-2030)
  • Table 179. Marine Big Data Fishery Industry , by Region USD Million (2025-2030)
  • Table 180. Marine Big Data Government , by Region USD Million (2025-2030)
  • Table 181. Marine Big Data Others , by Region USD Million (2025-2030)
  • Table 182. Marine Big Data: by Deployment(USD Million)
  • Table 183. Marine Big Data Cloud Based , by Region USD Million (2025-2030)
  • Table 184. Marine Big Data On Premises Based , by Region USD Million (2025-2030)
  • Table 185. South America Marine Big Data, by Country USD Million (2025-2030)
  • Table 186. South America Marine Big Data, by Application USD Million (2025-2030)
  • Table 187. South America Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 188. South America Marine Big Data, by Component USD Million (2025-2030)
  • Table 189. South America Marine Big Data, by End Use USD Million (2025-2030)
  • Table 190. South America Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 191. Brazil Marine Big Data, by Application USD Million (2025-2030)
  • Table 192. Brazil Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 193. Brazil Marine Big Data, by Component USD Million (2025-2030)
  • Table 194. Brazil Marine Big Data, by End Use USD Million (2025-2030)
  • Table 195. Brazil Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 196. Argentina Marine Big Data, by Application USD Million (2025-2030)
  • Table 197. Argentina Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 198. Argentina Marine Big Data, by Component USD Million (2025-2030)
  • Table 199. Argentina Marine Big Data, by End Use USD Million (2025-2030)
  • Table 200. Argentina Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 201. Rest of South America Marine Big Data, by Application USD Million (2025-2030)
  • Table 202. Rest of South America Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 203. Rest of South America Marine Big Data, by Component USD Million (2025-2030)
  • Table 204. Rest of South America Marine Big Data, by End Use USD Million (2025-2030)
  • Table 205. Rest of South America Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 206. Asia Pacific Marine Big Data, by Country USD Million (2025-2030)
  • Table 207. Asia Pacific Marine Big Data, by Application USD Million (2025-2030)
  • Table 208. Asia Pacific Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 209. Asia Pacific Marine Big Data, by Component USD Million (2025-2030)
  • Table 210. Asia Pacific Marine Big Data, by End Use USD Million (2025-2030)
  • Table 211. Asia Pacific Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 212. China Marine Big Data, by Application USD Million (2025-2030)
  • Table 213. China Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 214. China Marine Big Data, by Component USD Million (2025-2030)
  • Table 215. China Marine Big Data, by End Use USD Million (2025-2030)
  • Table 216. China Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 217. Japan Marine Big Data, by Application USD Million (2025-2030)
  • Table 218. Japan Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 219. Japan Marine Big Data, by Component USD Million (2025-2030)
  • Table 220. Japan Marine Big Data, by End Use USD Million (2025-2030)
  • Table 221. Japan Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 222. India Marine Big Data, by Application USD Million (2025-2030)
  • Table 223. India Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 224. India Marine Big Data, by Component USD Million (2025-2030)
  • Table 225. India Marine Big Data, by End Use USD Million (2025-2030)
  • Table 226. India Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 227. South Korea Marine Big Data, by Application USD Million (2025-2030)
  • Table 228. South Korea Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 229. South Korea Marine Big Data, by Component USD Million (2025-2030)
  • Table 230. South Korea Marine Big Data, by End Use USD Million (2025-2030)
  • Table 231. South Korea Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 232. Taiwan Marine Big Data, by Application USD Million (2025-2030)
  • Table 233. Taiwan Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 234. Taiwan Marine Big Data, by Component USD Million (2025-2030)
  • Table 235. Taiwan Marine Big Data, by End Use USD Million (2025-2030)
  • Table 236. Taiwan Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 237. Australia Marine Big Data, by Application USD Million (2025-2030)
  • Table 238. Australia Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 239. Australia Marine Big Data, by Component USD Million (2025-2030)
  • Table 240. Australia Marine Big Data, by End Use USD Million (2025-2030)
  • Table 241. Australia Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 242. Rest of Asia-Pacific Marine Big Data, by Application USD Million (2025-2030)
  • Table 243. Rest of Asia-Pacific Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 244. Rest of Asia-Pacific Marine Big Data, by Component USD Million (2025-2030)
  • Table 245. Rest of Asia-Pacific Marine Big Data, by End Use USD Million (2025-2030)
  • Table 246. Rest of Asia-Pacific Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 247. Europe Marine Big Data, by Country USD Million (2025-2030)
  • Table 248. Europe Marine Big Data, by Application USD Million (2025-2030)
  • Table 249. Europe Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 250. Europe Marine Big Data, by Component USD Million (2025-2030)
  • Table 251. Europe Marine Big Data, by End Use USD Million (2025-2030)
  • Table 252. Europe Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 253. Germany Marine Big Data, by Application USD Million (2025-2030)
  • Table 254. Germany Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 255. Germany Marine Big Data, by Component USD Million (2025-2030)
  • Table 256. Germany Marine Big Data, by End Use USD Million (2025-2030)
  • Table 257. Germany Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 258. France Marine Big Data, by Application USD Million (2025-2030)
  • Table 259. France Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 260. France Marine Big Data, by Component USD Million (2025-2030)
  • Table 261. France Marine Big Data, by End Use USD Million (2025-2030)
  • Table 262. France Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 263. Italy Marine Big Data, by Application USD Million (2025-2030)
  • Table 264. Italy Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 265. Italy Marine Big Data, by Component USD Million (2025-2030)
  • Table 266. Italy Marine Big Data, by End Use USD Million (2025-2030)
  • Table 267. Italy Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 268. United Kingdom Marine Big Data, by Application USD Million (2025-2030)
  • Table 269. United Kingdom Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 270. United Kingdom Marine Big Data, by Component USD Million (2025-2030)
  • Table 271. United Kingdom Marine Big Data, by End Use USD Million (2025-2030)
  • Table 272. United Kingdom Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 273. Netherlands Marine Big Data, by Application USD Million (2025-2030)
  • Table 274. Netherlands Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 275. Netherlands Marine Big Data, by Component USD Million (2025-2030)
  • Table 276. Netherlands Marine Big Data, by End Use USD Million (2025-2030)
  • Table 277. Netherlands Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 278. Rest of Europe Marine Big Data, by Application USD Million (2025-2030)
  • Table 279. Rest of Europe Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 280. Rest of Europe Marine Big Data, by Component USD Million (2025-2030)
  • Table 281. Rest of Europe Marine Big Data, by End Use USD Million (2025-2030)
  • Table 282. Rest of Europe Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 283. MEA Marine Big Data, by Country USD Million (2025-2030)
  • Table 284. MEA Marine Big Data, by Application USD Million (2025-2030)
  • Table 285. MEA Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 286. MEA Marine Big Data, by Component USD Million (2025-2030)
  • Table 287. MEA Marine Big Data, by End Use USD Million (2025-2030)
  • Table 288. MEA Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 289. Middle East Marine Big Data, by Application USD Million (2025-2030)
  • Table 290. Middle East Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 291. Middle East Marine Big Data, by Component USD Million (2025-2030)
  • Table 292. Middle East Marine Big Data, by End Use USD Million (2025-2030)
  • Table 293. Middle East Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 294. Africa Marine Big Data, by Application USD Million (2025-2030)
  • Table 295. Africa Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 296. Africa Marine Big Data, by Component USD Million (2025-2030)
  • Table 297. Africa Marine Big Data, by End Use USD Million (2025-2030)
  • Table 298. Africa Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 299. North America Marine Big Data, by Country USD Million (2025-2030)
  • Table 300. North America Marine Big Data, by Application USD Million (2025-2030)
  • Table 301. North America Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 302. North America Marine Big Data, by Component USD Million (2025-2030)
  • Table 303. North America Marine Big Data, by End Use USD Million (2025-2030)
  • Table 304. North America Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 305. United States Marine Big Data, by Application USD Million (2025-2030)
  • Table 306. United States Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 307. United States Marine Big Data, by Component USD Million (2025-2030)
  • Table 308. United States Marine Big Data, by End Use USD Million (2025-2030)
  • Table 309. United States Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 310. Canada Marine Big Data, by Application USD Million (2025-2030)
  • Table 311. Canada Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 312. Canada Marine Big Data, by Component USD Million (2025-2030)
  • Table 313. Canada Marine Big Data, by End Use USD Million (2025-2030)
  • Table 314. Canada Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 315. Mexico Marine Big Data, by Application USD Million (2025-2030)
  • Table 316. Mexico Marine Big Data, by Data Source USD Million (2025-2030)
  • Table 317. Mexico Marine Big Data, by Component USD Million (2025-2030)
  • Table 318. Mexico Marine Big Data, by End Use USD Million (2025-2030)
  • Table 319. Mexico Marine Big Data, by Deployment USD Million (2025-2030)
  • Table 320. Research Programs/Design for This Report
  • Table 321. Key Data Information from Secondary Sources
  • Table 322. 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 Marine Big Data: by Application USD Million (2018-2023)
  • Figure 5. Global Marine Big Data: by End Use USD Million (2018-2023)
  • Figure 6. Global Marine Big Data: by Deployment USD Million (2018-2023)
  • Figure 7. South America Marine Big Data Share (%), by Country
  • Figure 8. Asia Pacific Marine Big Data Share (%), by Country
  • Figure 9. Europe Marine Big Data Share (%), by Country
  • Figure 10. MEA Marine Big Data Share (%), by Country
  • Figure 11. North America Marine Big Data Share (%), by Country
  • Figure 12. Global Marine Big Data share by Players 2023 (%)
  • Figure 13. Global Marine Big Data share by Players (Top 3) 2023(%)
  • Figure 14. Global Marine Big Data share by Players (Top 5) 2023(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Teradata Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 17. Teradata Corporation (United States) Revenue: by Geography 2023
  • Figure 18. BigOceanData (London) Revenue, Net Income and Gross profit
  • Figure 19. BigOceanData (London) Revenue: by Geography 2023
  • Figure 20. Splunk, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 21. Splunk, Inc. (United States) Revenue: by Geography 2023
  • Figure 22. Datameer Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 23. Datameer Inc. (United States) Revenue: by Geography 2023
  • Figure 24. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 25. IBM (United States) Revenue: by Geography 2023
  • Figure 26. A.P. Moller-Maersk A/S (Denmark) Revenue, Net Income and Gross profit
  • Figure 27. A.P. Moller-Maersk A/S (Denmark) Revenue: by Geography 2023
  • Figure 28. Databricks Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 29. Databricks Inc. (United States) Revenue: by Geography 2023
  • Figure 30. Avenca Limited (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 31. Avenca Limited (United Kingdom) Revenue: by Geography 2023
  • Figure 32. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 33. Microsoft Corporation (United States) Revenue: by Geography 2023
  • Figure 34. Intertrust Technologies Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 35. Intertrust Technologies Corporation (United States) Revenue: by Geography 2023
  • Figure 36. Hitachi Vantara Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 37. Hitachi Vantara Corporation (United States) Revenue: by Geography 2023
  • Figure 38. BMT Group Ltd. (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 39. BMT Group Ltd. (United Kingdom) Revenue: by Geography 2023
  • Figure 40. SAP (Germany) Revenue, Net Income and Gross profit
  • Figure 41. SAP (Germany) Revenue: by Geography 2023
  • Figure 42. TIBCO Software (United States) Revenue, Net Income and Gross profit
  • Figure 43. TIBCO Software (United States) Revenue: by Geography 2023
  • Figure 44. Qlik (United States) Revenue, Net Income and Gross profit
  • Figure 45. Qlik (United States) Revenue: by Geography 2023
  • Figure 46. Global Marine Big Data: by Application USD Million (2025-2030)
  • Figure 47. Global Marine Big Data: by End Use USD Million (2025-2030)
  • Figure 48. Global Marine Big Data: by Deployment USD Million (2025-2030)
  • Figure 49. South America Marine Big Data Share (%), by Country
  • Figure 50. Asia Pacific Marine Big Data Share (%), by Country
  • Figure 51. Europe Marine Big Data Share (%), by Country
  • Figure 52. MEA Marine Big Data Share (%), by Country
  • Figure 53. North America Marine Big Data Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Teradata Corporation (United States)
  • BigOceanData (London)
  • Splunk, Inc. (United States)
  • Datameer Inc. (United States)
  • IBM (United States)
  • A.P. Moller-Maersk A/S (Denmark)
  • Databricks Inc. (United States)
  • Avenca Limited (United Kingdom)
  • Microsoft Corporation (United States)
  • Intertrust Technologies Corporation (United States)
  • Hitachi Vantara Corporation (United States)
  • BMT Group Ltd. (United Kingdom)
  • SAP (Germany)
  • TIBCO Software (United States)
  • Qlik (United States)
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Key Highlights of Report


Apr 2024 224 Pages 63 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as Teradata Corporation (United States), BigOceanData (London), Splunk, Inc. (United States), Datameer Inc. (United States), IBM (United States), A.P. Moller-Maersk A/S (Denmark), Databricks Inc. (United States), Avenca Limited (United Kingdom), Microsoft Corporation (United States), Intertrust Technologies Corporation (United States), Hitachi Vantara Corporation (United States), BMT Group Ltd. (United Kingdom), SAP (Germany), TIBCO Software (United States) and Qlik (United States) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Inclusion of Artificial Intelligence and Machine Learning in Logistics and Shipping " is seen as one of major influencing trends for Marine Big Data Market during projected period 2023-2030.
The Marine Big Data market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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