The integration of big data into maritime is a part of the digital transformation. The big data has transformed shipping by enabling shippers to use data from the structures of the ship, their components, and the machinery in order to enhance their performance. Maritime big data is a combination of cutting-edge data analytics and shipping expertise.
The lack of skilled manpower, emission controls, and cyber security are anticipated to be the major challenges for the growth of maritime big data market.
In 2018, the global Maritime Big Data market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.

This report focuses on the global Maritime Big Data status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Maritime Big Data development in United States, Europe and China.

The key players covered in this study
Maritime International
Windward
Our Oceans Challenge
Big Data Value Associations
IHS Markit Ltd
Eniram Ltd
ABB
LAROS Technologies
Inmarsat Plc
Ericsson

Market segment by Type, the product can be split into
Remote Sensing
Intelligent Traffic Management
Energy Management
Vessel Safety and Security
Automatic Mode Detection
Performance Monitoring and Optimization
Other

Market segment by Application, split into
Military
Civilian

Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America

The study objectives of this report are:
To analyze global Maritime Big Data status, future forecast, growth opportunity, key market and key players.
To present the Maritime Big Data development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.

In this study, the years considered to estimate the market size of Maritime Big Data are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.