Global Digital Transformation of Maritime Freight Market Size, Status and Forecast 2019-2025

In 2018, the global Digital Transformation of Maritime Freight 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 Digital Transformation of Maritime Freight status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Digital Transformation of Maritime Freight development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.

The key players covered in this study

3GTMS
Flow AG
ABB
Advantech
Digital Logistics Group
Hexaware Technologies
IBM Corporation
Kintetsu World Express
LOGITECH Corporation
Mindtree
Oracle Corporation
PartnerTech
SAP SE
Syntel
Tech Mahindra Limited

Market segment by Type, the product can be split into

Cloud-based Deployment
On-premise Deployment

Market segment by Application, split into

Ports & Terminals
Maritime Freight Forwarders

Market segment by Regions/Countries, this report covers

North America
Europe
China
Japan
Southeast Asia
India
Central & South America

The study objectives of this report are:

To analyze global Digital Transformation of Maritime Freight status, future forecast, growth opportunity, key market and key players.
To present the Digital Transformation of Maritime Freight development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
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 Digital Transformation of Maritime Freight 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.