Global Digital Freight Matching Market 2024 by Company, Regions, Type and Application, Forecast to 2030

Global Digital Freight Matching Market 2024 by Company, Regions, Type and Application, Forecast to 2030

Digital freight matching (DFM) addresses these demands by leveraging technology to optimize the matching of freight shippers with carriers, creating a more streamlined and cost-effective supply chain. Through advanced algorithms, real-time data, and automation, DFM platforms enable quicker and more accurate matching of available freight with suitable carriers, eliminating inefficiencies associated with traditional manual processes. This leads to reduced idle time for trucks, minimized fuel consumption, and overall improved resource utilization, contributing to cost savings. DFM facilitates better route planning, load optimization, and improved visibility into the supply chain. This enhanced efficiency not only reduces operational costs but also enables companies to provide more competitive pricing and services, meeting the expectations of both shippers and carriers in the digital freight matching market. As the industry continues to prioritize efficiency and cost-effectiveness, the adoption of digital freight matching solutions is expected to rise.

According to our (Global Info Research) latest study, the global Digital Freight Matching market size was valued at US$ million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of %during review period.

This report is a detailed and comprehensive analysis for global Digital Freight Matching market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2024, are provided.

Key Features:

Global Digital Freight Matching market size and forecasts, in consumption value ($ Million), 2019-2030

Global Digital Freight Matching market size and forecasts by region and country, in consumption value ($ Million), 2019-2030

Global Digital Freight Matching market size and forecasts, by Type and by Application, in consumption value ($ Million), 2019-2030

Global Digital Freight Matching market shares of main players, in revenue ($ Million), 2019-2024

The Primary Objectives in This Report Are:

To determine the size of the total market opportunity of global and key countries

To assess the growth potential for Digital Freight Matching

To forecast future growth in each product and end-use market

To assess competitive factors affecting the marketplace

This report profiles key players in the global Digital Freight Matching market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Waymo, Kodiak Robotics, Inc, Manbang Group, Convoy, Flock Freight, Cargomatic Inc., Dachser, Flexport, Forto, Freight Technologies, Inc., etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.

Market segmentation

Digital Freight Matching market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segmentation

Digital Freight Matching market is split by Type and by Application. For the period 2018-2029, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type
Subscription-Based Models
Transaction-Based Models
Others

Market segment by Application
Truckload (TL) Freight Matching
Less-Than-Truckload (LTL) Freight Matching
Intermodal Freight Matching

Market segment by players, this report covers
Waymo
Kodiak Robotics, Inc
Manbang Group
Convoy
Flock Freight
Cargomatic Inc.
Dachser
Flexport
Forto
Freight Technologies, Inc.
Full Truck Alliance Co. Ltd.
iLoq Logistics
InstaFreight
LoadDelivered
Redwood Logistics
Sennder Technologies
Shippeo
Transporeon
Uber Freight

Market segment by regions, regional analysis covers

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia, Italy and Rest of Europe)

Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)

South America (Brazil, Rest of South America)

Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 13 chapters:

Chapter 1, to describe Digital Freight Matching product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top players of Digital Freight Matching, with revenue, gross margin, and global market share of Digital Freight Matching from 2019 to 2024.

Chapter 3, the Digital Freight Matching competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2019 to 2030.

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Digital Freight Matching market forecast, by regions, by Type and by Application, with consumption value, from 2024 to 2030.

Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.

Chapter 12, the key raw materials and key suppliers, and industry chain of Digital Freight Matching.

Chapter 13, to describe Digital Freight Matching research findings and conclusion.