Digital Freight Matching Market Size, Share & Trends Analysis Report by Service (Freight Matching Services, Value Added Services), By Platform (Web-based, Mobile-based), By Transportation Mode, By Industry, By Region, And Segment Forecasts, 2025 - 2030
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Digital Freight Matching Market Growth & Trends
The global digital freight matching market size is anticipated treach USD 247.58 billion by 2030, according ta new report by Grand View Research, Inc. The market is projected tgrow at a CAGR of 32.1% from 2025 t2030. A digital freight matching platform is an online marketplace for shippers and carriers tconnect in real time. Shippers look for available capacity catering ttheir shipment needs, and carriers look for specific loads tfill their fleets or trucks. The COVID-19 pandemic accelerated digitization and adoption of automation technologies across supply chains as businesses looked timprove their operations. This positively impacted the market in the long term, although the growth slowed in 2020 due tlower trade and manufacturing activities. Improving digital infrastructure in developing economies provide significant growth opportunities for the market.
Governments are taking initiatives timprove goods movement speed and address supply chain challenges. For instance, in March 2022, the U.S. government announced a new initiative called Freight Logistics Optimization Works (FLOW). The initiative included eighteen participants, including logistics companies and private businesses. It aimed tshare key information during the movement of goods across the supply chain. The government aimed tsupport businesses across the supply chain and improve information accuracy. Such initiatives are likely tboost the adoption of digital freight matching platforms.
On the basis of service, the market for digital freight matching is divided intfreight matching services, and value added services. Freight matching services include the core services of the digital freight matching platform that help shippers connect with carriers with the use of Artificial Intelligence (AI) and Machine Learning (ML) powered algorithms. On the basis of platform, the market is divided intweb-based and mobile-based. Mobile-based platforms offer greater speed and functionality compared tweb-based platforms. A web-based platform is easier tbuild, but unlike a mobile-based platform, it cannot work offline.
The market players are expanding timprove their footprint. For instance, in April 2021, India-based FreightMangannounced the launch of a new office in Nebraska, U.S. The company then had operations teams in India and the U.S. working timprove their offerings for shippers. The company aimed tmeet digital freight matching needs and improve customer experience.
Some of the key players operating in the global market include Uber Freight (Uber Technologies, Inc.), Redwood, C.H. Robinson Worldwide, Inc., XPO, Inc., Convoy, Inc, Full Truck Alliance (JiangSu ManYun Software Technology Co., Ltd.), Freight Technologies, Inc., Freight Tiger, Cargomatic Inc., and Roper Technologies, Inc. These key players are adopting different development strategies such as product launches, partnerships & collaboration, and others texpand their presence and market share in the digital freight matching market. In May 2023, U.S.-based Transfix announced a partnership with HIGHWAY APP, INC., a U.S.-based carrier identity solution provider. Integrating HIGHWAY APP, INC.’s Carrier Identity engine, and Transfix’s Transfix Carrier App will enable a faster onboarding experience. With this partnership, the companies aimed timprove efficiency and transparency during the onboarding and carrier compliance processes.
Digital Freight Matching Market Report Highlights
Digital Freight Matching Market Growth & Trends
The global digital freight matching market size is anticipated treach USD 247.58 billion by 2030, according ta new report by Grand View Research, Inc. The market is projected tgrow at a CAGR of 32.1% from 2025 t2030. A digital freight matching platform is an online marketplace for shippers and carriers tconnect in real time. Shippers look for available capacity catering ttheir shipment needs, and carriers look for specific loads tfill their fleets or trucks. The COVID-19 pandemic accelerated digitization and adoption of automation technologies across supply chains as businesses looked timprove their operations. This positively impacted the market in the long term, although the growth slowed in 2020 due tlower trade and manufacturing activities. Improving digital infrastructure in developing economies provide significant growth opportunities for the market.
Governments are taking initiatives timprove goods movement speed and address supply chain challenges. For instance, in March 2022, the U.S. government announced a new initiative called Freight Logistics Optimization Works (FLOW). The initiative included eighteen participants, including logistics companies and private businesses. It aimed tshare key information during the movement of goods across the supply chain. The government aimed tsupport businesses across the supply chain and improve information accuracy. Such initiatives are likely tboost the adoption of digital freight matching platforms.
On the basis of service, the market for digital freight matching is divided intfreight matching services, and value added services. Freight matching services include the core services of the digital freight matching platform that help shippers connect with carriers with the use of Artificial Intelligence (AI) and Machine Learning (ML) powered algorithms. On the basis of platform, the market is divided intweb-based and mobile-based. Mobile-based platforms offer greater speed and functionality compared tweb-based platforms. A web-based platform is easier tbuild, but unlike a mobile-based platform, it cannot work offline.
The market players are expanding timprove their footprint. For instance, in April 2021, India-based FreightMangannounced the launch of a new office in Nebraska, U.S. The company then had operations teams in India and the U.S. working timprove their offerings for shippers. The company aimed tmeet digital freight matching needs and improve customer experience.
Some of the key players operating in the global market include Uber Freight (Uber Technologies, Inc.), Redwood, C.H. Robinson Worldwide, Inc., XPO, Inc., Convoy, Inc, Full Truck Alliance (JiangSu ManYun Software Technology Co., Ltd.), Freight Technologies, Inc., Freight Tiger, Cargomatic Inc., and Roper Technologies, Inc. These key players are adopting different development strategies such as product launches, partnerships & collaboration, and others texpand their presence and market share in the digital freight matching market. In May 2023, U.S.-based Transfix announced a partnership with HIGHWAY APP, INC., a U.S.-based carrier identity solution provider. Integrating HIGHWAY APP, INC.’s Carrier Identity engine, and Transfix’s Transfix Carrier App will enable a faster onboarding experience. With this partnership, the companies aimed timprove efficiency and transparency during the onboarding and carrier compliance processes.
Digital Freight Matching Market Report Highlights
- Digital freight matching industry is expected tsee significant growth owing tgrowing e-commerce sales and improving internet access and smartphone adoption
- The value added services segment is projected tgrow at the fastest CAGR over the forecast period
- The mobile-based segment is expected tdominate the market in 2024 with a market share of more than 61.0% and is expanding at a CAGR of 32.5% from 2025 t2030
- The Full Truckload (FTL) segment is projected tgrow at the fastest CAGR of 32.6% over the forecast period
- The food & beverages segment held the largest revenue share in the market globally in 2022 and is expected texpand at a CAGR of 32.2% from 2025 t2030
CHAPTER 1. METHODOLOGY AND SCOPE
1.1. Market Segmentation and Scope
1.2. Research Methodology
1.2.1. Information Procurement
1.3. Information or Data Analysis
1.4. Methodology
1.5. Research Scope and Assumptions
1.6. Market Formulation & Validation
1.7. Country Based Segment Share Calculation
1.8. List of Data Sources
CHAPTER 2. EXECUTIVE SUMMARY
2.1. Market Outlook
2.2. Segment Outlook
2.3. Competitive Insights
CHAPTER 3. MARKET VARIABLES, TRENDS, & SCOPE OUTLOOK
3.1. Market Lineage Outlook
3.2. Market Dynamics
3.2.1. Market Driver Analysis
3.2.2. Market Restraint Analysis
3.2.3. Industry Challenge
3.3. Digital Freight Matching Market Analysis Tools
3.3.1. Industry Analysis - Porter’s
3.3.1.1. Bargaining power of the suppliers
3.3.1.2. Bargaining power of the buyers
3.3.1.3. Threats of substitution
3.3.1.4. Threats from new entrants
3.3.1.5. Competitive rivalry
3.3.2. PESTEL Analysis
3.3.2.1. Political landscape
3.3.2.2. Economic and social landscape
3.3.2.3. Technological landscape
CHAPTER 4. DIGITAL FREIGHT MATCHING MARKET SERVICE OUTLOOK
4.1. Digital Freight Matching Market, By Service Analysis & Market Share, 2024 & 2030
4.2. Freight Matching Services
4.2.1. Freight Matching Services Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
4.3. Value Added Services
4.3.1. Value Added Services Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
CHAPTER 5. DIGITAL FREIGHT MATCHING MARKET PLATFORM OUTLOOK
5.1. Digital Freight Matching Market, By Platform Analysis & Market Share, 2024 & 2030
5.2. Web-based
5.2.1. Web-based Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
5.3. Mobile-based
5.3.1. Mobile-based Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
5.3.2. Android
5.3.2.1. Android Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
5.3.3. iOS
5.3.3.1. iOS Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
CHAPTER 6. DIGITAL FREIGHT MATCHING MARKET TRANSPORTATION MODE OUTLOOK
6.1. Digital Freight Matching Market, By Transportation Mode Analysis & Market Share, 2024 & 2030
6.2. Full truckload (FTL)
6.2.1. Full truckload (FTL) Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
6.3. Less-than-truckload (LTL)
6.3.1. Less-than-truckload (LTL) Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
6.4. Intermodal
6.4.1. Intermodal Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
6.5. Others
6.5.1. Others Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
CHAPTER 7. DIGITAL FREIGHT MATCHING MARKET INDUSTRY OUTLOOK
7.1. Digital Freight Matching Market, By Industry Analysis & Market Share, 2024 & 2030
7.2. Food & Beverages
7.2.1. Food & Beverages Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
7.3. Retail & E-Commerce
7.3.1. Retail & E-Commerce Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
7.4. Manufacturing
7.4.1. Manufacturing Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
7.5. Oil & Gas
7.5.1. Oil & Gas Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
7.6. Automotive
7.6.1. Automotive Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
7.7. Healthcare
7.7.1. Healthcare Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
7.8. Others
7.8.1. Others Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
CHAPTER 8. DIGITAL FREIGHT MATCHING MARKET: REGIONAL ESTIMATES & TREND ANALYSIS
8.1. Digital Freight Matching Market Share, By Region, 2024 & 2030, USD Million
8.2. North America
8.2.1. North America Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.2.2. U.S.
8.2.2.1. U.S. Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.2.3. Canada
8.2.3.1. Canada Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.2.4. Mexico
8.2.4.1. Mexico Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.3. Europe
8.3.1. Europe Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.3.2. U.K.
8.3.2.1. U.K. Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.3.3. Germany
8.3.3.1. Germany Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.3.4. France
8.3.4.1. France Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.4. Asia Pacific
8.4.1. Asia Pacific Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.4.2. China
8.4.2.1. China Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.4.3. Japan
8.4.3.1. Japan Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.4.4. Australia
8.4.4.1. Australia Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.4.5. South Korea
8.4.5.1. South Korea Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.4.6. India
8.4.6.1. India Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.5. Latin America
8.5.1. Latin America Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.5.2. Brazil
8.5.2.1. Brazil Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.6. Middle East and Africa
8.6.1. Middle East and Africa Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.6.2. UAE
8.6.2.1. UAE Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.6.3. Saudi Arabia
8.6.3.1. Saudi Arabia Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.6.4. South Africa
8.6.4.1. South Africa Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
CHAPTER 9. DIGITAL FREIGHT MATCHING MARKET COMPETITIVE LANDSCAPE
9.1. Company Categorization
9.2. Company Market Positioning
9.3. Company Heat Map Analysis
9.4. Company Profiles/Listing
9.4.1. Uber Freight (Uber Technologies, Inc.)
9.4.1.1. Participant’s Overview
9.4.1.2. Financial Performance
9.4.1.3. Product Benchmarking
9.4.1.4. Strategic Initiatives
9.4.2. Redwood Logistics
9.4.2.1. Participant’s Overview
9.4.2.2. Financial Performance
9.4.2.3. Product Benchmarking
9.4.2.4. Strategic Initiatives
9.4.3. C.H. Robinson Worldwide, Inc.
9.4.3.1. Participant’s Overview
9.4.3.2. Financial Performance
9.4.3.3. Product Benchmarking
9.4.3.4. Strategic Initiatives
9.4.4. XPO, Inc.
9.4.4.1. Participant’s Overview
9.4.4.2. Financial Performance
9.4.4.3. Product Benchmarking
9.4.4.4. Strategic Initiatives
9.4.5. Convoy (Flexport Freight Tech LLC)
9.4.5.1. Participant’s Overview
9.4.5.2. Financial Performance
9.4.5.3. Product Benchmarking
9.4.5.4. Strategic Initiatives
9.4.6. Full Truck Alliance (JiangSu ManYun Software Technology Co., Ltd.)
9.4.6.1. Participant’s Overview
9.4.6.2. Financial Performance
9.4.6.3. Product Benchmarking
9.4.6.4. Strategic Initiatives
9.4.7. Freight Technologies, Inc.
9.4.7.1. Participant’s Overview
9.4.7.2. Financial Performance
9.4.7.3. Product Benchmarking
9.4.7.4. Strategic Initiatives
9.4.8. Freight Tiger
9.4.8.1. Participant’s Overview
9.4.8.2. Financial Performance
9.4.8.3. Product Benchmarking
9.4.8.4. Strategic Initiatives
9.4.9. Cargomatic Inc.
9.4.9.1. Participant’s Overview
9.4.9.2. Financial Performance
9.4.9.3. Product Benchmarking
9.4.9.4. Strategic Initiatives
9.4.10. Roper Technologies, Inc.
9.4.10.1. Participant’s Overview
9.4.10.2. Financial Performance
9.4.10.3. Product Benchmarking
9.4.10.4. Strategic Initiatives
1.1. Market Segmentation and Scope
1.2. Research Methodology
1.2.1. Information Procurement
1.3. Information or Data Analysis
1.4. Methodology
1.5. Research Scope and Assumptions
1.6. Market Formulation & Validation
1.7. Country Based Segment Share Calculation
1.8. List of Data Sources
CHAPTER 2. EXECUTIVE SUMMARY
2.1. Market Outlook
2.2. Segment Outlook
2.3. Competitive Insights
CHAPTER 3. MARKET VARIABLES, TRENDS, & SCOPE OUTLOOK
3.1. Market Lineage Outlook
3.2. Market Dynamics
3.2.1. Market Driver Analysis
3.2.2. Market Restraint Analysis
3.2.3. Industry Challenge
3.3. Digital Freight Matching Market Analysis Tools
3.3.1. Industry Analysis - Porter’s
3.3.1.1. Bargaining power of the suppliers
3.3.1.2. Bargaining power of the buyers
3.3.1.3. Threats of substitution
3.3.1.4. Threats from new entrants
3.3.1.5. Competitive rivalry
3.3.2. PESTEL Analysis
3.3.2.1. Political landscape
3.3.2.2. Economic and social landscape
3.3.2.3. Technological landscape
CHAPTER 4. DIGITAL FREIGHT MATCHING MARKET SERVICE OUTLOOK
4.1. Digital Freight Matching Market, By Service Analysis & Market Share, 2024 & 2030
4.2. Freight Matching Services
4.2.1. Freight Matching Services Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
4.3. Value Added Services
4.3.1. Value Added Services Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
CHAPTER 5. DIGITAL FREIGHT MATCHING MARKET PLATFORM OUTLOOK
5.1. Digital Freight Matching Market, By Platform Analysis & Market Share, 2024 & 2030
5.2. Web-based
5.2.1. Web-based Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
5.3. Mobile-based
5.3.1. Mobile-based Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
5.3.2. Android
5.3.2.1. Android Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
5.3.3. iOS
5.3.3.1. iOS Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
CHAPTER 6. DIGITAL FREIGHT MATCHING MARKET TRANSPORTATION MODE OUTLOOK
6.1. Digital Freight Matching Market, By Transportation Mode Analysis & Market Share, 2024 & 2030
6.2. Full truckload (FTL)
6.2.1. Full truckload (FTL) Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
6.3. Less-than-truckload (LTL)
6.3.1. Less-than-truckload (LTL) Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
6.4. Intermodal
6.4.1. Intermodal Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
6.5. Others
6.5.1. Others Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
CHAPTER 7. DIGITAL FREIGHT MATCHING MARKET INDUSTRY OUTLOOK
7.1. Digital Freight Matching Market, By Industry Analysis & Market Share, 2024 & 2030
7.2. Food & Beverages
7.2.1. Food & Beverages Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
7.3. Retail & E-Commerce
7.3.1. Retail & E-Commerce Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
7.4. Manufacturing
7.4.1. Manufacturing Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
7.5. Oil & Gas
7.5.1. Oil & Gas Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
7.6. Automotive
7.6.1. Automotive Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
7.7. Healthcare
7.7.1. Healthcare Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
7.8. Others
7.8.1. Others Digital Freight Matching Market estimates and forecasts, 2017 - 2030 (USD Million)
CHAPTER 8. DIGITAL FREIGHT MATCHING MARKET: REGIONAL ESTIMATES & TREND ANALYSIS
8.1. Digital Freight Matching Market Share, By Region, 2024 & 2030, USD Million
8.2. North America
8.2.1. North America Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.2.2. U.S.
8.2.2.1. U.S. Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.2.3. Canada
8.2.3.1. Canada Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.2.4. Mexico
8.2.4.1. Mexico Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.3. Europe
8.3.1. Europe Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.3.2. U.K.
8.3.2.1. U.K. Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.3.3. Germany
8.3.3.1. Germany Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.3.4. France
8.3.4.1. France Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.4. Asia Pacific
8.4.1. Asia Pacific Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.4.2. China
8.4.2.1. China Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.4.3. Japan
8.4.3.1. Japan Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.4.4. Australia
8.4.4.1. Australia Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.4.5. South Korea
8.4.5.1. South Korea Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.4.6. India
8.4.6.1. India Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.5. Latin America
8.5.1. Latin America Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.5.2. Brazil
8.5.2.1. Brazil Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.6. Middle East and Africa
8.6.1. Middle East and Africa Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.6.2. UAE
8.6.2.1. UAE Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.6.3. Saudi Arabia
8.6.3.1. Saudi Arabia Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.6.4. South Africa
8.6.4.1. South Africa Digital Freight Matching Market Estimates and Forecasts, 2017 - 2030 (USD Million)
CHAPTER 9. DIGITAL FREIGHT MATCHING MARKET COMPETITIVE LANDSCAPE
9.1. Company Categorization
9.2. Company Market Positioning
9.3. Company Heat Map Analysis
9.4. Company Profiles/Listing
9.4.1. Uber Freight (Uber Technologies, Inc.)
9.4.1.1. Participant’s Overview
9.4.1.2. Financial Performance
9.4.1.3. Product Benchmarking
9.4.1.4. Strategic Initiatives
9.4.2. Redwood Logistics
9.4.2.1. Participant’s Overview
9.4.2.2. Financial Performance
9.4.2.3. Product Benchmarking
9.4.2.4. Strategic Initiatives
9.4.3. C.H. Robinson Worldwide, Inc.
9.4.3.1. Participant’s Overview
9.4.3.2. Financial Performance
9.4.3.3. Product Benchmarking
9.4.3.4. Strategic Initiatives
9.4.4. XPO, Inc.
9.4.4.1. Participant’s Overview
9.4.4.2. Financial Performance
9.4.4.3. Product Benchmarking
9.4.4.4. Strategic Initiatives
9.4.5. Convoy (Flexport Freight Tech LLC)
9.4.5.1. Participant’s Overview
9.4.5.2. Financial Performance
9.4.5.3. Product Benchmarking
9.4.5.4. Strategic Initiatives
9.4.6. Full Truck Alliance (JiangSu ManYun Software Technology Co., Ltd.)
9.4.6.1. Participant’s Overview
9.4.6.2. Financial Performance
9.4.6.3. Product Benchmarking
9.4.6.4. Strategic Initiatives
9.4.7. Freight Technologies, Inc.
9.4.7.1. Participant’s Overview
9.4.7.2. Financial Performance
9.4.7.3. Product Benchmarking
9.4.7.4. Strategic Initiatives
9.4.8. Freight Tiger
9.4.8.1. Participant’s Overview
9.4.8.2. Financial Performance
9.4.8.3. Product Benchmarking
9.4.8.4. Strategic Initiatives
9.4.9. Cargomatic Inc.
9.4.9.1. Participant’s Overview
9.4.9.2. Financial Performance
9.4.9.3. Product Benchmarking
9.4.9.4. Strategic Initiatives
9.4.10. Roper Technologies, Inc.
9.4.10.1. Participant’s Overview
9.4.10.2. Financial Performance
9.4.10.3. Product Benchmarking
9.4.10.4. Strategic Initiatives
