Digital Freight Matching Market Size, Share, and Trends 2025 to 2034

Digital Freight Matching Market (By Service: Freight Matching Services, Value Added Services; By Platform: Mobile-Based, Web-Based; By Transportation Mode: Full Truckload (FTL), Intermodal, Less-Than-Truckload (LTL), Others; By Industry: Automotive, Food and Beverages, Healthcare, Manufacturing, Oil and Gas, Others, Retail and E-Commerce) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2026 to 2035

Last Updated : 10 Dec 2025  |  Report Code : 5411  |  Category : ICT   |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Digital Freight Matching Market 

5.1. COVID-19 Landscape: Digital Freight Matching Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Digital Freight Matching Market, By Service

8.1. Digital Freight Matching Market, by Service

8.1.1. Freight Matching Services

8.1.1.1. Market Revenue and Forecast

8.1.2. Value Added Services

8.1.2.1. Market Revenue and Forecast

Chapter 9. Global Digital Freight Matching Market, By Platform

9.1. Digital Freight Matching Market, by Platform

9.1.1. Mobile-Based

9.1.1.1. Market Revenue and Forecast

9.1.2. Web-Based

9.1.2.1. Market Revenue and Forecast

Chapter 10. Global Digital Freight Matching Market, By Transportation Mode 

10.1. Digital Freight Matching Market, by Transportation Mode

10.1.1. Full Truckload (FTL)

10.1.1.1. Market Revenue and Forecast

10.1.2. Intermodal

10.1.2.1. Market Revenue and Forecast

10.1.3. Less-Than-Truckload (LTL)

10.1.3.1. Market Revenue and Forecast

10.1.4. Others

10.1.4.1. Market Revenue and Forecast

Chapter 11. Global Digital Freight Matching Market, By Industry 

11.1. Digital Freight Matching Market, by Industry

11.1.1. Automotive

11.1.1.1. Market Revenue and Forecast

11.1.2. Food and Beverages

11.1.2.1. Market Revenue and Forecast

11.1.3. Healthcare

11.1.3.1. Market Revenue and Forecast

11.1.4. Manufacturing

11.1.4.1. Market Revenue and Forecast

11.1.5. Oil and Gas

11.1.5.1. Market Revenue and Forecast

11.1.6. Others

11.1.6.1. Market Revenue and Forecast

11.1.6. Retail and E-Commerce

11.1.6.1. Market Revenue and Forecast

Chapter 12. Global Digital Freight Matching Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Service

12.1.2. Market Revenue and Forecast, by Platform

12.1.3. Market Revenue and Forecast, by Transportation Mode

12.1.4. Market Revenue and Forecast, by Industry

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Service

12.1.5.2. Market Revenue and Forecast, by Platform

12.1.5.3. Market Revenue and Forecast, by Transportation Mode

12.1.5.4. Market Revenue and Forecast, by Industry

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Service

12.1.6.2. Market Revenue and Forecast, by Platform

12.1.6.3. Market Revenue and Forecast, by Transportation Mode

12.1.6.4. Market Revenue and Forecast, by Industry

12.2. Europe

12.2.1. Market Revenue and Forecast, by Service

12.2.2. Market Revenue and Forecast, by Platform

12.2.3. Market Revenue and Forecast, by Transportation Mode

12.2.4. Market Revenue and Forecast, by Industry

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Service

12.2.5.2. Market Revenue and Forecast, by Platform

12.2.5.3. Market Revenue and Forecast, by Transportation Mode

12.2.5.4. Market Revenue and Forecast, by Industry

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Service

12.2.6.2. Market Revenue and Forecast, by Platform

12.2.6.3. Market Revenue and Forecast, by Transportation Mode

12.2.6.4. Market Revenue and Forecast, by Industry

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Service

12.2.7.2. Market Revenue and Forecast, by Platform

12.2.7.3. Market Revenue and Forecast, by Transportation Mode

12.2.7.4. Market Revenue and Forecast, by Industry

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Service

12.2.8.2. Market Revenue and Forecast, by Platform

12.2.8.3. Market Revenue and Forecast, by Transportation Mode

12.2.8.4. Market Revenue and Forecast, by Industry

12.3. APAC

12.3.1. Market Revenue and Forecast, by Service

12.3.2. Market Revenue and Forecast, by Platform

12.3.3. Market Revenue and Forecast, by Transportation Mode

12.3.4. Market Revenue and Forecast, by Industry

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Service

12.3.5.2. Market Revenue and Forecast, by Platform

12.3.5.3. Market Revenue and Forecast, by Transportation Mode

12.3.5.4. Market Revenue and Forecast, by Industry

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Service

12.3.6.2. Market Revenue and Forecast, by Platform

12.3.6.3. Market Revenue and Forecast, by Transportation Mode

12.3.6.4. Market Revenue and Forecast, by Industry

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Service

12.3.7.2. Market Revenue and Forecast, by Platform

12.3.7.3. Market Revenue and Forecast, by Transportation Mode

12.3.7.4. Market Revenue and Forecast, by Industry

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Service

12.3.8.2. Market Revenue and Forecast, by Platform

12.3.8.3. Market Revenue and Forecast, by Transportation Mode

12.3.8.4. Market Revenue and Forecast, by Industry

12.4. MEA

12.4.1. Market Revenue and Forecast, by Service

12.4.2. Market Revenue and Forecast, by Platform

12.4.3. Market Revenue and Forecast, by Transportation Mode

12.4.4. Market Revenue and Forecast, by Industry

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Service

12.4.5.2. Market Revenue and Forecast, by Platform

12.4.5.3. Market Revenue and Forecast, by Transportation Mode

12.4.5.4. Market Revenue and Forecast, by Industry

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Service

12.4.6.2. Market Revenue and Forecast, by Platform

12.4.6.3. Market Revenue and Forecast, by Transportation Mode

12.4.6.4. Market Revenue and Forecast, by Industry

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Service

12.4.7.2. Market Revenue and Forecast, by Platform

12.4.7.3. Market Revenue and Forecast, by Transportation Mode

12.4.7.4. Market Revenue and Forecast, by Industry

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Service

12.4.8.2. Market Revenue and Forecast, by Platform

12.4.8.3. Market Revenue and Forecast, by Transportation Mode

12.4.8.4. Market Revenue and Forecast, by Industry

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Service

12.5.2. Market Revenue and Forecast, by Platform

12.5.3. Market Revenue and Forecast, by Transportation Mode

12.5.4. Market Revenue and Forecast, by Industry

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Service

12.5.5.2. Market Revenue and Forecast, by Platform

12.5.5.3. Market Revenue and Forecast, by Transportation Mode

12.5.5.4. Market Revenue and Forecast, by Industry

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Service

12.5.6.2. Market Revenue and Forecast, by Platform

12.5.6.3. Market Revenue and Forecast, by Transportation Mode

12.5.6.4. Market Revenue and Forecast, by Industry

Chapter 13. Company Profiles

13.1. C.H. Robinson Worldwide, Inc.

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Cargomatic Inc.

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Convoy (Flexport Freight Tech LLC)

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. Freight Technologies, Inc.

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. Freight Tiger

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Full Truck Alliance (JiangSu ManYun Software Technology Co., Ltd.)

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Redwood Logistics

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. Roper Technologies, Inc.

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Uber Freight (Uber Technologies, Inc.)

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. XPO, Inc.

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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Frequently Asked Questions

The global digital freight matching market size is expected to grow from USD 62.51 billion in 2025 to USD 922.91 billion by 2035.

The digital freight matching market is anticipated to grow at a CAGR of 30.89% between 2026 and 2035.

The major players operating in the digital freight matching market are C.H. Robinson Worldwide, Inc., Cargomatic Inc., Convoy (Flexport Freight Tech LLC), Freight Technologies, Inc., Freight Tiger, Full Truck Alliance (JiangSu ManYun Software Technology Co., Ltd.), Redwood Logistics, Roper Technologies, Inc., Uber Freight (Uber Technologies, Inc.), XPO, Inc., and Others.

The driving factors of the digital freight matching market are the increasing demand for efficient, real-time freight solutions and advancements in technology that optimize logistics operations.

North America region will lead the global digital freight matching market during the forecast period 2026 to 2035.

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