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Europe 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

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    Report

  • 150 Pages
  • September 2023
  • Region: Europe
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5903455
The Europe Digital Freight Matching Market would witness market growth of 30.4% CAGR during the forecast period (2023-2030).

DFM platforms increasingly leverage AI and machine learning algorithms to improve matching accuracy, optimize routes, and provide predictive analytics. These technologies help in making more informed decisions and enhancing overall efficiency. Blockchain technology is being explored to increase transparency and trust in DFM. It can help create immutable records of transactions, reducing disputes and fraud while improving traceability. Environmental concerns are driving sustainability initiatives in the transportation industry. DFM platforms offer tools to optimize routes and reduce emissions, aligning with the growing demand for eco-friendly logistics solutions. The evolving nature of the market is driven by technological advancements, changing customer expectations, and the demand for more efficient and endurable logistics solutions. The specific trends and significance may vary by region and industry segment within the market.

DFM platforms match available shipments (loads) with suitable carriers or drivers based on location, capacity, equipment type, and preferences. This application optimizes the allocation of resources and reduces empty miles. DFM solutions use algorithms and real-time data to optimize transportation routes, considering traffic conditions, weather, and delivery windows. This helps carriers reduce fuel consumption and delivery times. DFM platforms help reduce transportation costs by minimizing empty miles, optimizing routes, and enabling shippers to access competitive pricing from carriers. This leads to cost savings for both shippers and carriers. DFM platforms facilitate cross-border trade by helping shippers and carriers navigate complex customs procedures, documentation, and regulatory requirements.

Europe's dynamic logistics landscape, focus on sustainability, and evolving regulatory environment contribute to the promising prospects for DFM solutions. Europe has a well-established cross-border trade network, with goods flowing seamlessly between countries. DFM platforms can facilitate the efficient movement of goods across European borders by connecting shippers and carriers with the suitable capacity and expertise for cross-border shipments. Europe is a leader in sustainability efforts, with stringent emissions regulations and environmental goals. As food & beverage manufacturing increases in this region, along with the growing demand DFM platforms in other sectors, the market is expected to grow.

The Germany market dominated the Europe Digital Freight Matching Market, By Country in 2022, and would continue to be a dominant market till 2029; thereby, achieving a market value of $14,512.6 million by 2030. The UK market is exhibiting a CAGR of 29.3% during (2023 - 2030). Additionally, The France market would experience a CAGR of 31.3% 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 Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.

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
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe

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 Europe Digital Freight Matching Market, by Service
1.4.2 Europe Digital Freight Matching Market, by Transportation Mode
1.4.3 Europe Digital Freight Matching Market, by Platform
1.4.4 Europe Digital Freight Matching Market, by Industry
1.4.5 Europe Digital Freight Matching Market, by Country
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 Scenario
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. Europe Digital Freight Matching Market, By Service
5.1 Europe Freight Matching Services Market, By Country
5.2 Europe Value Added Services Market, By Country
Chapter 6. Europe Digital Freight Matching Market, By Transportation Mode
6.1 Europe Full Truckload (FTL) Market, By Country
6.2 Europe Less-than-truckload (LTL) Market, By Country
6.3 Europe Intermodal Market, By Country
6.4 Europe Other Transportation Mode Market, By Country
Chapter 7. Europe Digital Freight Matching Market, By Platform
7.1 Europe Mobile-based Market, By Country
7.2 Europe Digital Freight Matching Market, By Mobile-based Type
7.2.1 Europe Android Market, By Country
7.2.2 Europe iOS Market, By Country
7.3 Europe Web-based Market, By Country
Chapter 8. Europe Digital Freight Matching Market, By Industry
8.1 Europe Food & Beverages Market, By Country
8.2 Europe Retail & E-Commerce Market, By Country
8.3 Europe Automotive Market, By Country
8.4 Europe Healthcare & Lifesciences Market, By Country
8.5 Europe Oil & Gas Market, By Country
8.6 Europe Manufacturing Market, By Country
8.7 Europe Others Market, By Country
Chapter 9. Europe Digital Freight Matching Market, By Country
9.1 Germany Digital Freight Matching Market
9.1.1 Germany Digital Freight Matching Market, By Service
9.1.2 Germany Digital Freight Matching Market, By Transportation Mode
9.1.3 Germany Digital Freight Matching Market, By Platform
9.1.3.1 Germany Digital Freight Matching Market, By Mobile-based Type
9.1.4 Germany Digital Freight Matching Market, By Industry
9.2 UK Digital Freight Matching Market
9.2.1 UK Digital Freight Matching Market, By Service
9.2.2 UK Digital Freight Matching Market, By Transportation Mode
9.2.3 UK Digital Freight Matching Market, By Platform
9.2.3.1 UK Digital Freight Matching Market, By Mobile-based Type
9.2.4 UK Digital Freight Matching Market, By Industry
9.3 France Digital Freight Matching Market
9.3.1 France Digital Freight Matching Market, By Service
9.3.2 France Digital Freight Matching Market, By Transportation Mode
9.3.3 France Digital Freight Matching Market, By Platform
9.3.3.1 France Digital Freight Matching Market, By Mobile-based Type
9.3.4 France Digital Freight Matching Market, By Industry
9.4 Russia Digital Freight Matching Market
9.4.1 Russia Digital Freight Matching Market, By Service
9.4.2 Russia Digital Freight Matching Market, By Transportation Mode
9.4.3 Russia Digital Freight Matching Market, By Platform
9.4.3.1 Russia Digital Freight Matching Market, By Mobile-based Type
9.4.4 Russia Digital Freight Matching Market, By Industry
9.5 Spain Digital Freight Matching Market
9.5.1 Spain Digital Freight Matching Market, By Service
9.5.2 Spain Digital Freight Matching Market, By Transportation Mode
9.5.3 Spain Digital Freight Matching Market, By Platform
9.5.3.1 Spain Digital Freight Matching Market, By Mobile-based Type
9.5.4 Spain Digital Freight Matching Market, By Industry
9.6 Italy Digital Freight Matching Market
9.6.1 Italy Digital Freight Matching Market, By Service
9.6.2 Italy Digital Freight Matching Market, By Transportation Mode
9.6.3 Italy Digital Freight Matching Market, By Platform
9.6.3.1 Italy Digital Freight Matching Market, By Mobile-based Type
9.6.4 Italy Digital Freight Matching Market, By Industry
9.7 Rest of Europe Digital Freight Matching Market
9.7.1 Rest of Europe Digital Freight Matching Market, By Service
9.7.2 Rest of Europe Digital Freight Matching Market, By Transportation Mode
9.7.3 Rest of Europe Digital Freight Matching Market, By Platform
9.7.3.1 Rest of Europe Digital Freight Matching Market, By Mobile-based Type
9.7.4 Rest of Europe 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

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