+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

LAMEA Digital Freight Matching Market Size, Share & Industry Trends Analysis Report By Service (Freight Matching Services, & Value-Added Services), By Transportation Mode, By Platform, By Industry, By Country and Growth Forecast, 2023 - 2030

  • PDF Icon

    Report

  • 149 Pages
  • September 2023
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5903453
The Latin America, Middle East and Africa Digital Freight Matching Market would witness market growth of 33.5% CAGR during the forecast period (2023-2030).

Numerous regions with high internet and smartphone penetration have quickly implemented digital freight matching platforms. In addition, the region is populated by numerous prominent performers. The market is fragmented due to the entry of multiple established and new companies. The market participants utilize strategies like product innovation and acquisition to obtain a competitive advantage. The market is a logistics and transportation industry segment that leverages technology and digital platforms to connect shippers with carriers (trucking companies or independent drivers) more efficiently and streamlined. DFM platforms use various technologies, including mobile apps, web-based platforms, and data analytics, to match available freight shipments with available carriers or capacity.

Digital Freight Matching (DFM) solutions aim to reduce empty miles, improve asset utilization, and optimize routes, leading to cost savings for shippers and carriers. Many DFM platforms offer real-time tracking and visibility of shipments, allowing shippers to monitor the status and location of their goods throughout the transportation process. Data analytics play a significant role in DFM, helping shippers and carriers make data-driven pricing, capacity planning, and route optimization decisions.

Latin America encompasses many geographical features, from vast rainforests to sprawling cities. This diversity creates logistical challenges, and DFM platforms can help optimize transportation routes, improving efficiency in the movement of goods. The healthcare industry in Saudi Arabia can benefit from improved logistics efficiency. DFM platforms help healthcare organizations optimize routes, reduce transportation costs, and minimize delivery delays, ensuring that healthcare providers have the supplies they need when they need them. According to the International Trade In 2022, it will invest $36.8 billion on healthcare and social enhancement – 14.4 percent of its 2022 spending and the third largest line item after educational and military. The Saudi Arabian government intends to privatize the healthcare industry. As a result, the market will grow significantly in this region.

The Brazil market dominated the LAMEA Digital Freight Matching Market, By Country in 2022, and would continue to be a dominant market till 2029; thereby, achieving a market value of $5,344.7 million by 2030. The Argentina market is showcasing a CAGR of 34.3% during (2023 - 2030). Additionally, The UAE market would register a CAGR of 33.2% during (2023 - 2030).

Based on Service, the market is segmented into Freight Matching Services, & Value-Added Services. Based on Transportation Mode, the market is segmented into Full Truckload (FTL), Less-than-truckload (LTL), Intermodal, and Others. Based on Platform, the market is segmented into Mobile-based (Android and iOS), & Web-based. Based on Industry, the market is segmented into Food & Beverages, Retail & E-Commerce, Automotive, Healthcare & Lifesciences, Oil & Gas, Manufacturing, and Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.

The market research report covers the analysis of key stakeholders of the market. Key companies profiled in the report include Uber Freight Holding Corporation (Uber Technologies, Inc.), Redwood Logistics (AEA Investors LP), C.H. Robinson Worldwide, Inc., XPO, Inc., Convoy, Inc., Full Truck Alliance Co. Ltd. (JiangSu ManYun Software Technology Co., Ltd.), Freight Technologies, Inc., Freight Commerce Solutions Private Limited, Cargomatic, Inc., Roper Technologies, Inc.

Scope of the Study

Market Segments Covered in the Report:

By Service
  • Freight Matching Services
  • Value Added Services
By Transportation Mode
  • Full Truckload (FTL)
  • Less-than-truckload (LTL)
  • Intermodal
  • Others
By Platform
  • Mobile-based
  • Android
  • iOS
  • Web-based
By Industry
  • Food & Beverages
  • Retail & E-Commerce
  • Automotive
  • Healthcare & Lifesciences
  • Oil & Gas
  • Manufacturing
  • Others
By Country
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Key Market Players

List of Companies Profiled in the Report:

  • Uber Freight Holding Corporation (Uber Technologies, Inc.)
  • Redwood Logistics (AEA Investors LP)
  • C.H. Robinson Worldwide, Inc.
  • XPO, Inc.
  • Convoy, Inc.
  • Full Truck Alliance Co. Ltd. (JiangSu ManYun Software Technology Co., Ltd.)
  • Freight Technologies, Inc.
  • Freight Commerce Solutions Private Limited
  • Cargomatic, Inc.
  • Roper Technologies, Inc.

Unique Offerings

  • Exhaustive coverage
  • The highest number of Market tables and figures
  • Subscription-based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 LAMEA Digital Freight Matching Market, by Service
1.4.2 LAMEA Digital Freight Matching Market, by Transportation Mode
1.4.3 LAMEA Digital Freight Matching Market, by Platform
1.4.4 LAMEA Digital Freight Matching Market, by Industry
1.4.5 LAMEA Digital Freight Matching Market, by Geography
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scnerio
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.3 Porter Five Forces Analysis
Chapter 4. Strategies Deployed in Digital Freight Matching Market
Chapter 5. LAMEA Digital Freight Matching Market, By Service
5.1 LAMEA Freight Matching Services Market, By Country
5.2 LAMEA Value Added Services Market, By Country
Chapter 6. LAMEA Digital Freight Matching Market, By Transportation Mode
6.1 LAMEA Full Truckload (FTL) Market, By Country
6.2 LAMEA Less-than-truckload (LTL) Market, By Country
6.3 LAMEA Intermodal Market, By Country
6.4 LAMEA Other Transportation Mode Market, By Country
Chapter 7. LAMEA Digital Freight Matching Market, By Platform
7.1 LAMEA Mobile-based Market, By Country
7.2 LAMEA Digital Freight Matching Market, By Mobile-based Type
7.2.1 LAMEA Android Market, By Country
7.2.2 LAMEA iOS Market, By Country
7.3 LAMEA Web-based Market, By Country
Chapter 8. LAMEA Digital Freight Matching Market, By Industry
8.1 LAMEA Food & Beverages Market, By Country
8.2 LAMEA Retail & E-Commerce Market, By Country
8.3 LAMEA Automotive Market, By Country
8.4 LAMEA Healthcare & Lifesciences Market, By Country
8.5 LAMEA Oil & Gas Market, By Country
8.6 LAMEA Manufacturing Market, By Country
8.7 LAMEA Others Market, By Country
Chapter 9. LAMEA Digital Freight Matching Market, By Country
9.1 Brazil Digital Freight Matching Market
9.1.1 Brazil Digital Freight Matching Market, By Service
9.1.2 Brazil Digital Freight Matching Market, By Transportation Mode
9.1.3 Brazil Digital Freight Matching Market, By Platform
9.1.3.1 Brazil Digital Freight Matching Market, By Mobile-based Type
9.1.4 Brazil Digital Freight Matching Market, By Industry
9.2 Argentina Digital Freight Matching Market
9.2.1 Argentina Digital Freight Matching Market, By Service
9.2.2 Argentina Digital Freight Matching Market, By Transportation Mode
9.2.3 Argentina Digital Freight Matching Market, By Platform
9.2.3.1 Argentina Digital Freight Matching Market, By Mobile-based Type
9.2.4 Argentina Digital Freight Matching Market, By Industry
9.3 UAE Digital Freight Matching Market
9.3.1 UAE Digital Freight Matching Market, By Service
9.3.2 UAE Digital Freight Matching Market, By Transportation Mode
9.3.3 UAE Digital Freight Matching Market, By Platform
9.3.3.1 UAE Digital Freight Matching Market, By Mobile-based Type
9.3.4 UAE Digital Freight Matching Market, By Industry
9.4 Saudi Arabia Digital Freight Matching Market
9.4.1 Saudi Arabia Digital Freight Matching Market, By Service
9.4.2 Saudi Arabia Digital Freight Matching Market, By Transportation Mode
9.4.3 Saudi Arabia Digital Freight Matching Market, By Platform
9.4.3.1 Saudi Arabia Digital Freight Matching Market, By Mobile-based Type
9.4.4 Saudi Arabia Digital Freight Matching Market, By Industry
9.5 South Africa Digital Freight Matching Market
9.5.1 South Africa Digital Freight Matching Market, By Service
9.5.2 South Africa Digital Freight Matching Market, By Transportation Mode
9.5.3 South Africa Digital Freight Matching Market, By Platform
9.5.3.1 South Africa Digital Freight Matching Market, By Mobile-based Type
9.5.4 South Africa Digital Freight Matching Market, By Industry
9.6 Nigeria Digital Freight Matching Market
9.6.1 Nigeria Digital Freight Matching Market, By Service
9.6.2 Nigeria Digital Freight Matching Market, By Transportation Mode
9.6.3 Nigeria Digital Freight Matching Market, By Platform
9.6.3.1 Nigeria Digital Freight Matching Market, By Mobile-based Type
9.6.4 Nigeria Digital Freight Matching Market, By Industry
9.7 Rest of LAMEA Digital Freight Matching Market
9.7.1 Rest of LAMEA Digital Freight Matching Market, By Service
9.7.2 Rest of LAMEA Digital Freight Matching Market, By Transportation Mode
9.7.3 Rest of LAMEA Digital Freight Matching Market, By Platform
9.7.3.1 Rest of LAMEA Digital Freight Matching Market, By Mobile-based Type
9.7.4 Rest of LAMEA Digital Freight Matching Market, By Industry
Chapter 10. Company Profiles
10.1 Redwood Logistics (AEA Investors LP)
10.1.1 Company Overview
10.1.2 Recent strategies and developments:
10.1.2.1 Partnerships, Collaborations, and Agreements:
10.1.2.2 Acquisition and Mergers:
10.1.3 SWOT Analysis
10.2 Convoy, Inc.
10.2.1 Company Overview
10.2.2 Recent strategies and developments:
10.2.2.1 Partnerships, Collaborations, and Agreements:
10.2.2.2 Product Launches and Product Expansions:
10.2.3 SWOT Analysis
10.3 Full Truck Alliance Co. Ltd.
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Research & Development Expenses
10.4 Freight Technologies, Inc.
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Regional Analysis
10.4.4 SWOT Analysis
10.5 Freight Commerce Solutions Private Limited
10.5.1 Company Overview
10.6 Cargomatic, Inc.
10.6.1 Company Overview
10.6.2 SWOT Analysis
10.7 Roper Technologies, Inc. (Clayton, Dubilier & Rice, LLC)
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental and Regional Analysis
10.8 Uber Freight Holding Corporation (Uber Technologies, Inc.)
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Segmental and Regional Analysis
10.8.4 Research & Development Expense
10.8.5 Recent strategies and developments:
10.8.5.1 Partnerships, Collaborations, and Agreements:
10.8.5.2 Acquisition and Mergers:
10.8.6 SWOT Analysis
10.9 C.H. Robinson Worldwide, Inc.
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Regional & Segmental Analysis
10.9.4 Recent strategies and developments:
10.9.4.1 Product Launches and Product Expansions:
10.9.5 SWOT Analysis
10.10. XPO, Inc.
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Segmental and Regional Analysis
10.10.4 Recent strategies and developments:
10.10.4.1 Product Launches and Product Expansions:
10.10.5 SWOT Analysis

Companies Mentioned

  • Uber Freight Holding Corporation (Uber Technologies, Inc.)
  • Redwood Logistics (AEA Investors LP)
  • C.H. Robinson Worldwide, Inc.
  • XPO, Inc.
  • Convoy, Inc.
  • Full Truck Alliance Co. Ltd. (JiangSu ManYun Software Technology Co., Ltd.)
  • Freight Technologies, Inc.
  • Freight Commerce Solutions Private Limited
  • Cargomatic, Inc.
  • Roper Technologies, Inc.

Methodology

Loading
LOADING...