US Transportation Management Systems Market Overview by E-Commerce Surge, A Proven ROI, Cloud Solutions, Market Scenario Analysis & Forecast

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The report covers important qualitative aspects of the US Transportation Management Systems industry in market drivers, market restraints and key industry trends.

-- Transportation management system is a technology logistics platform uniquely designed to help businesses plan, execute, and optimize freight shipping. Owing to benefits such as reduction in freight expenses, better tracking of deliveries, improved customer service, improved warehouse efficiency, and productivity as well as supply chain efficiency, the Transportation management system and the United States transportation management systems market is experiencing increased adoption as opposed to traditional transportation and logistics processes, thus fostering progress in the United States transportation management systems market. The US Transportation Management Systems market is estimated to be valued at USD 9.96 billion by 2025.

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Furthermore, advanced technology, a strong emphasis of e-commerce and retail industries on automating the supply chain, and logistics processes integrating new technologies are the key factors driving the United States transportation management systems market.

The major players in United States Transportation Management Systems Market are MercuryGate, Oracle Transportation, Excalibur TMS, SAP Transportation, Logility, JDA TMS, Manhattan TMS, Blujay TMS, IBM Sterling, Kuebix , Aljex, and IntelliShift among others. These companies are focused on strategic freight transportation management automation. These companies are helping their customers drive cost efficiencies, streamline logistics processes & operations, and drive business growth improving their performance in United States transportation management systems market.

The companies have a presence and customers across all geographies and have all types of customers from shippers, brokers, carriers, to freight forwarders. The market players for market fortification are taking various strategic steps like Mergers and acquisitions, collaborations, product launches, and R&D activities to bring advancements in the products driving their performance in the United States transportation management systems market.

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Report Scope

Study Period:                                        2018 - 2025

Base Year:                                            2020

Largest Market:                                   United States

Market Value:                                      USD 9.96 Billion

The application segment in United States Transportation Management Systems Market is further classified into manufacturing, retail, transport, logistics and other industry verticals. The logistics segment accounted for maximum revenue in United States Transportation Management Systems Market and is expected to record substantial market growth in forecast span 2022-2028.

The transportation management system in logistics helps gain agility, improve profitability, increase reliability, maximize logistics efficiency, and provide better operational and logistics management. This is driving demand for Transportation Management systems in the logistics industry increasing its market share in United States Transportation Management System Market. The presence of prominent firms like MercuryGate, Oracle Transportation, Excalibur TMS, and others are driving progress in the United States Transportation Management System Market. Furthermore, advancements in supply chain management, business shifts to simplify freight shipping are other growth drivers of the United States Transportation Management System Market.

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Table of Content

Chapter 1    Market Overview

Chapter 2    US Transportation Management Systems Market Competition by Manufacturers 

Chapter 3    US Transportation Management Systems Market by Types 

Chapter 4    US Transportation Management Systems Market by Applications 

Chapter 5    Company Profiles

Chapter 6    Market Dynamics 

Chapter 7    Research Findings and Conclusion   

Chapter 8    Methodology and Data Source 

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