Freight Brokerage Services Market by Service Type (Cross-Border Brokerage, Intermodal Brokerage, Less-Than-Truckload Brokerage), Transport Mode (Air, Intermodal, Ocean), Customer Size, Freight Class, Technology Adoption, End Use Industry - Global Forecast
Description
The Freight Brokerage Services Market was valued at USD 60.40 billion in 2024 and is projected to grow to USD 64.48 billion in 2025, with a CAGR of 6.59%, reaching USD 100.71 billion by 2032.
A compelling synthesis of how freight brokerage operators must balance operational efficiency, technology adoption, and customer expectations to remain competitive
The freight brokerage sector stands at the intersection of operational complexity and rapid technological change, demanding a clear and focused introduction that orients leadership to immediate imperatives and strategic levers. This executive summary opens with a concise synthesis of how brokerage firms connect shippers and carriers, manage capacity imbalances, and deliver service differentiation through routing, contract negotiation, and risk mitigation frameworks. It highlights the dual pressures of margin compression and rising customer expectations that require brokers to balance cost-efficiency with higher service reliability.
Transitioning from a transactional role toward value-added orchestration, brokerages are increasingly judged on their ability to manage multi-modal flows, integrate with shipper ecosystems, and provide near-real-time visibility. As digital platforms and traditional operations converge, decision-makers must prioritize investments that reduce cycle times and enhance predictive capacity. This introduction frames the report’s broader findings and sets a pragmatic tone: leaders need prioritized actions that protect operational continuity while enabling step-change improvements in service, technology adoption, and commercial models.
How converging technological innovation, supply chain resilience shifts, and regulatory change are reshaping the freight brokerage competitive landscape and business models
The freight brokerage landscape is undergoing transformative shifts driven by three converging forces: technological innovation, shifting supply chain strategies, and regulatory evolution. On the technology front, platforms that enable dynamic pricing, AI-driven load matching, and automated carrier qualification are eroding the advantage of legacy brokers while creating new opportunities for firms that can integrate data across shippers, carriers, and terminals. Consequently, organizations that proactively combine digital brokerage capabilities with deep carrier relationships will capture disproportionate operational benefits.
Simultaneously, shippers are recalibrating their networks toward resilience, favoring diversified carrier pools and flexible contract structures that respond to episodic volatility. As a result, brokers that can offer hybrid models-blending dedicated capacity, intermodal solutions, and efficient spot market access-will become indispensable partners. Regulatory and geopolitical shifts further amplify these trends, imposing compliance complexities and encouraging nearshoring strategies that affect lane dynamics and carrier availability. Collectively, these forces require brokers to rearchitect processes, invest in data science capabilities, and adopt a more consultative commercial posture to remain relevant.
Assessing how tariff adjustments and trade policy changes are altering sourcing choices, modal mixes, and routing strategies with downstream effects on brokerage operations
The landscape for cross-border trade and domestic routing has been materially influenced by tariff changes and trade policy adjustments, creating cascading effects across sourcing strategies, routing decisions, and carrier economics. Tariff adjustments have prompted some shippers to alter origin points, re-evaluate modal mixes, and increase reliance on nearshoring partners to mitigate duties and lead-time variability. This reorientation in trade flows influences lane demand patterns and introduces new congestion and capacity pressures in both port-centric and inland corridors.
In practice, brokers must adapt contractual terms, pricing models, and risk-sharing arrangements to reflect the added volatility created by tariff shifts. They also need to strengthen customs expertise, enhance documentation workflows, and leverage customs-compliant intermodal solutions to reduce dwell times and improve predictability. Over time, tariff-induced route reassignments will encourage brokers to expand intermodal offerings and deepen relationships with carriers that provide flexible cross-border capabilities. Leaders that anticipate evolving trade policy impacts and redesign service portfolios accordingly will better protect margins and service reliability.
Deep segmentation-driven insights that explain service, mode, customer size, freight class, technology adoption, and industry-specific operational imperatives
Segmentation insights reveal distinct demand drivers and capability requirements across service types, transport modes, customer sizes, freight classes, technology adoption profiles, and end-use industries. Based on service type, brokers must differentiate offerings across cross-border brokerage, intermodal brokerage, less-than-truckload brokerage, and truckload brokerage; within truckload, providers face distinct operational trade-offs between dedicated truckload services and spot market truckload, while spot operations further bifurcate into long-haul and short-haul dynamics that demand unique pricing and capacity-sourcing approaches. Based on transport mode, the need to manage air, intermodal, ocean, over-the-road, and rail flows requires integrated visibility and mode-optimization capabilities that align with customer service objectives and cost tolerances.
Based on customer size, large enterprises expect end-to-end SLAs, integrated systems, and strategic analytics, whereas mid-market and small enterprises prioritize accessibility, transparent pricing, and execution reliability; brokers must tailor commercial models and service orchestration to these divergent needs. Based on freight class, handling requirements vary significantly across dry van, flatbed, hazardous materials, refrigerated, and special equipment loads, driving investment in compliance knowledge and equipment networks. Based on technology adoption, the competitive divide grows between digital brokerage platforms that provide automation and API connectivity and traditional brokerage models that rely on relationship-driven manual processes. Based on end-use industry, practices differ across automotive, food & beverage, healthcare & pharmaceuticals, manufacturing, and retail & e-commerce, each imposing specific timing, traceability, and regulatory constraints that brokers must address through sector-focused playbooks and capability clusters.
Regional contrasts in infrastructure, regulations, and trade flows that determine differentiated brokerage strategies across the Americas, EMEA, and Asia-Pacific
Regional dynamics create differentiated opportunities and constraints that influence route selection, capacity sourcing, and service design. In the Americas, inland and cross-border flows are shaped by large domestic volumes, significant intermodal corridors, and an expanding appetite for integrated digital solutions that reduce transit variability. Brokers operating here must balance dense domestic networks with periodic international surges, requiring flexible carrier pools and robust lane analytics to preserve reliability. In Europe, Middle East & Africa, regulatory fragmentation, customs complexity, and diverse infrastructure maturity levels necessitate strong compliance capabilities and multimodal orchestration to manage cross-border movements effectively.
Asia-Pacific presents a combination of high-volume port gateways, rapid industrialization, and dense intra-regional trade lanes that favor scalable digital platforms and agile capacity management. Brokers working across these regions must therefore design regional operating models that reflect local carrier ecosystems, regulatory environments, and modal preferences while enabling centralized analytics and governance. Harmonizing regional specialization with global service standards allows brokers to serve multinational shippers effectively and respond to episodic disruptions with speed and precision.
Competitive dynamics driven by blends of technology investment, carrier partnerships, vertical expertise, and consultative commercial models shaping the brokerage field
Competitive positioning among leading brokerage firms hinges on differentiated capabilities across carrier networks, technology platforms, and sector expertise. Some companies have invested heavily in digital platforms that automate pricing, carrier onboarding, and load matching, creating scalable transactional throughput and lower execution costs. Others maintain a competitive edge through deep carrier relationships, vertical industry specialization, or proprietary contract terms that secure preferred capacity and better service reliability for complex freight classes. Strategic partnerships with carriers, cross-border specialists, and intermodal operators also help certain companies expand modal offerings quickly while maintaining service levels.
Moreover, firms that adopt a consultative commercial model-leveraging data analytics to recommend network redesigns, inventory placement, or modal shifts-have begun to capture more strategic engagements with large shippers. At the same time, many established brokers are experimenting with hybrid approaches that combine traditional relationship management with selective automation, enabling them to preserve high-touch service where it matters and automate repetitive tasks to improve throughput. This mix of scale, technology, and domain knowledge defines the competitive landscape and will determine which companies adapt successfully to evolving customer demands and regulatory pressures.
High-impact recommendations for leaders to align digitization, modal expansion, commercial redesign, and sector playbooks to secure operational resilience and growth
Industry leaders should pursue a set of pragmatic actions that align capability investments with near-term operational needs and long-term strategic resilience. First, prioritize layered digitization by automating repetitive pricing and documentation workflows while selectively deploying machine learning for demand forecasting and carrier performance analytics; this reduces friction and enhances decision velocity. Second, expand modal and cross-border capabilities by forging partnerships with intermodal and ocean specialists and by training compliance teams to manage customs complexities; doing so will broaden service portfolios and reduce overreliance on any single capacity source.
Third, redesign commercial contracts to include flexible capacity clauses and outcome-based incentives that align shipper and carrier priorities, thereby improving service predictability and margin stability. Fourth, segment go-to-market approaches to reflect differing needs of large enterprises, mid-market, and small enterprises, offering tiered service bundles that balance customization with scalable fulfillment. Fifth, invest in sector playbooks for automotive, food & beverage, healthcare & pharmaceuticals, manufacturing, and retail & e-commerce to deliver industry-specific KPIs and compliance controls. Finally, commit executive attention to change management and carrier relationship programs that sustain performance during transitions and ensure technology investments translate into measurable operational gains.
A rigorous mixed-methods research protocol combining primary interviews, secondary analysis, and scenario mapping to deliver actionable brokerage insights
This research employs a mixed-methods approach that synthesizes primary interviews, secondary literature review, and cross-validation through case analysis to ensure robust and actionable findings. Primary inputs include structured interviews with shippers, carriers, brokerage executives, and regulatory experts to surface real-world constraints, capability gaps, and emerging best practices. Secondary sources encompass industry reports, trade publications, and regulatory filings that illuminate structural trends in trade flows, modal shifts, and compliance changes. Case analyses of representative brokerage transformations provide practical examples of implementation pathways and organizational impacts.
Analytical techniques include thematic coding of qualitative inputs, capability-maturity assessments, and scenario mapping to explore the operational implications of tariff shifts, technology adoption, and regional dynamics. Throughout, methodological rigor is maintained by triangulating insights across multiple stakeholder perspectives and by documenting assumptions and limitations. The result is a research output designed to support decision-makers with context-rich analysis, pragmatic implementation guidance, and prioritized actions tailored to varying enterprise scales and sector requirements.
Conclusive synthesis emphasizing actionable priorities for brokers to integrate digital, partnership, and regional strategies to convert disruption into competitive advantage
In conclusion, freight brokerage firms face a pivotal moment where strategic choices about technology, partnerships, and service design will determine long-term relevance. Brokers that embrace hybrid operating models-integrating digital brokerage capabilities with trusted carrier relationships and industry-specific playbooks-will be best positioned to address the twin demands of resilience and efficiency. Tariff and trade policy changes underscore the need for enhanced customs capabilities and flexible modal strategies, while regional differences demand tailored operating models that respect local ecosystems without sacrificing global coherence.
Ultimately, success will hinge on disciplined execution: prioritizing automation where it reduces cost and cycle time, investing selectively in sector expertise, and reshaping commercial terms to share risk with partners. Decision-makers who act decisively to align capability investments with customer expectations and regulatory realities can convert current disruption into competitive advantage and long-term growth.
Note: PDF & Excel + Online Access - 1 Year
A compelling synthesis of how freight brokerage operators must balance operational efficiency, technology adoption, and customer expectations to remain competitive
The freight brokerage sector stands at the intersection of operational complexity and rapid technological change, demanding a clear and focused introduction that orients leadership to immediate imperatives and strategic levers. This executive summary opens with a concise synthesis of how brokerage firms connect shippers and carriers, manage capacity imbalances, and deliver service differentiation through routing, contract negotiation, and risk mitigation frameworks. It highlights the dual pressures of margin compression and rising customer expectations that require brokers to balance cost-efficiency with higher service reliability.
Transitioning from a transactional role toward value-added orchestration, brokerages are increasingly judged on their ability to manage multi-modal flows, integrate with shipper ecosystems, and provide near-real-time visibility. As digital platforms and traditional operations converge, decision-makers must prioritize investments that reduce cycle times and enhance predictive capacity. This introduction frames the report’s broader findings and sets a pragmatic tone: leaders need prioritized actions that protect operational continuity while enabling step-change improvements in service, technology adoption, and commercial models.
How converging technological innovation, supply chain resilience shifts, and regulatory change are reshaping the freight brokerage competitive landscape and business models
The freight brokerage landscape is undergoing transformative shifts driven by three converging forces: technological innovation, shifting supply chain strategies, and regulatory evolution. On the technology front, platforms that enable dynamic pricing, AI-driven load matching, and automated carrier qualification are eroding the advantage of legacy brokers while creating new opportunities for firms that can integrate data across shippers, carriers, and terminals. Consequently, organizations that proactively combine digital brokerage capabilities with deep carrier relationships will capture disproportionate operational benefits.
Simultaneously, shippers are recalibrating their networks toward resilience, favoring diversified carrier pools and flexible contract structures that respond to episodic volatility. As a result, brokers that can offer hybrid models-blending dedicated capacity, intermodal solutions, and efficient spot market access-will become indispensable partners. Regulatory and geopolitical shifts further amplify these trends, imposing compliance complexities and encouraging nearshoring strategies that affect lane dynamics and carrier availability. Collectively, these forces require brokers to rearchitect processes, invest in data science capabilities, and adopt a more consultative commercial posture to remain relevant.
Assessing how tariff adjustments and trade policy changes are altering sourcing choices, modal mixes, and routing strategies with downstream effects on brokerage operations
The landscape for cross-border trade and domestic routing has been materially influenced by tariff changes and trade policy adjustments, creating cascading effects across sourcing strategies, routing decisions, and carrier economics. Tariff adjustments have prompted some shippers to alter origin points, re-evaluate modal mixes, and increase reliance on nearshoring partners to mitigate duties and lead-time variability. This reorientation in trade flows influences lane demand patterns and introduces new congestion and capacity pressures in both port-centric and inland corridors.
In practice, brokers must adapt contractual terms, pricing models, and risk-sharing arrangements to reflect the added volatility created by tariff shifts. They also need to strengthen customs expertise, enhance documentation workflows, and leverage customs-compliant intermodal solutions to reduce dwell times and improve predictability. Over time, tariff-induced route reassignments will encourage brokers to expand intermodal offerings and deepen relationships with carriers that provide flexible cross-border capabilities. Leaders that anticipate evolving trade policy impacts and redesign service portfolios accordingly will better protect margins and service reliability.
Deep segmentation-driven insights that explain service, mode, customer size, freight class, technology adoption, and industry-specific operational imperatives
Segmentation insights reveal distinct demand drivers and capability requirements across service types, transport modes, customer sizes, freight classes, technology adoption profiles, and end-use industries. Based on service type, brokers must differentiate offerings across cross-border brokerage, intermodal brokerage, less-than-truckload brokerage, and truckload brokerage; within truckload, providers face distinct operational trade-offs between dedicated truckload services and spot market truckload, while spot operations further bifurcate into long-haul and short-haul dynamics that demand unique pricing and capacity-sourcing approaches. Based on transport mode, the need to manage air, intermodal, ocean, over-the-road, and rail flows requires integrated visibility and mode-optimization capabilities that align with customer service objectives and cost tolerances.
Based on customer size, large enterprises expect end-to-end SLAs, integrated systems, and strategic analytics, whereas mid-market and small enterprises prioritize accessibility, transparent pricing, and execution reliability; brokers must tailor commercial models and service orchestration to these divergent needs. Based on freight class, handling requirements vary significantly across dry van, flatbed, hazardous materials, refrigerated, and special equipment loads, driving investment in compliance knowledge and equipment networks. Based on technology adoption, the competitive divide grows between digital brokerage platforms that provide automation and API connectivity and traditional brokerage models that rely on relationship-driven manual processes. Based on end-use industry, practices differ across automotive, food & beverage, healthcare & pharmaceuticals, manufacturing, and retail & e-commerce, each imposing specific timing, traceability, and regulatory constraints that brokers must address through sector-focused playbooks and capability clusters.
Regional contrasts in infrastructure, regulations, and trade flows that determine differentiated brokerage strategies across the Americas, EMEA, and Asia-Pacific
Regional dynamics create differentiated opportunities and constraints that influence route selection, capacity sourcing, and service design. In the Americas, inland and cross-border flows are shaped by large domestic volumes, significant intermodal corridors, and an expanding appetite for integrated digital solutions that reduce transit variability. Brokers operating here must balance dense domestic networks with periodic international surges, requiring flexible carrier pools and robust lane analytics to preserve reliability. In Europe, Middle East & Africa, regulatory fragmentation, customs complexity, and diverse infrastructure maturity levels necessitate strong compliance capabilities and multimodal orchestration to manage cross-border movements effectively.
Asia-Pacific presents a combination of high-volume port gateways, rapid industrialization, and dense intra-regional trade lanes that favor scalable digital platforms and agile capacity management. Brokers working across these regions must therefore design regional operating models that reflect local carrier ecosystems, regulatory environments, and modal preferences while enabling centralized analytics and governance. Harmonizing regional specialization with global service standards allows brokers to serve multinational shippers effectively and respond to episodic disruptions with speed and precision.
Competitive dynamics driven by blends of technology investment, carrier partnerships, vertical expertise, and consultative commercial models shaping the brokerage field
Competitive positioning among leading brokerage firms hinges on differentiated capabilities across carrier networks, technology platforms, and sector expertise. Some companies have invested heavily in digital platforms that automate pricing, carrier onboarding, and load matching, creating scalable transactional throughput and lower execution costs. Others maintain a competitive edge through deep carrier relationships, vertical industry specialization, or proprietary contract terms that secure preferred capacity and better service reliability for complex freight classes. Strategic partnerships with carriers, cross-border specialists, and intermodal operators also help certain companies expand modal offerings quickly while maintaining service levels.
Moreover, firms that adopt a consultative commercial model-leveraging data analytics to recommend network redesigns, inventory placement, or modal shifts-have begun to capture more strategic engagements with large shippers. At the same time, many established brokers are experimenting with hybrid approaches that combine traditional relationship management with selective automation, enabling them to preserve high-touch service where it matters and automate repetitive tasks to improve throughput. This mix of scale, technology, and domain knowledge defines the competitive landscape and will determine which companies adapt successfully to evolving customer demands and regulatory pressures.
High-impact recommendations for leaders to align digitization, modal expansion, commercial redesign, and sector playbooks to secure operational resilience and growth
Industry leaders should pursue a set of pragmatic actions that align capability investments with near-term operational needs and long-term strategic resilience. First, prioritize layered digitization by automating repetitive pricing and documentation workflows while selectively deploying machine learning for demand forecasting and carrier performance analytics; this reduces friction and enhances decision velocity. Second, expand modal and cross-border capabilities by forging partnerships with intermodal and ocean specialists and by training compliance teams to manage customs complexities; doing so will broaden service portfolios and reduce overreliance on any single capacity source.
Third, redesign commercial contracts to include flexible capacity clauses and outcome-based incentives that align shipper and carrier priorities, thereby improving service predictability and margin stability. Fourth, segment go-to-market approaches to reflect differing needs of large enterprises, mid-market, and small enterprises, offering tiered service bundles that balance customization with scalable fulfillment. Fifth, invest in sector playbooks for automotive, food & beverage, healthcare & pharmaceuticals, manufacturing, and retail & e-commerce to deliver industry-specific KPIs and compliance controls. Finally, commit executive attention to change management and carrier relationship programs that sustain performance during transitions and ensure technology investments translate into measurable operational gains.
A rigorous mixed-methods research protocol combining primary interviews, secondary analysis, and scenario mapping to deliver actionable brokerage insights
This research employs a mixed-methods approach that synthesizes primary interviews, secondary literature review, and cross-validation through case analysis to ensure robust and actionable findings. Primary inputs include structured interviews with shippers, carriers, brokerage executives, and regulatory experts to surface real-world constraints, capability gaps, and emerging best practices. Secondary sources encompass industry reports, trade publications, and regulatory filings that illuminate structural trends in trade flows, modal shifts, and compliance changes. Case analyses of representative brokerage transformations provide practical examples of implementation pathways and organizational impacts.
Analytical techniques include thematic coding of qualitative inputs, capability-maturity assessments, and scenario mapping to explore the operational implications of tariff shifts, technology adoption, and regional dynamics. Throughout, methodological rigor is maintained by triangulating insights across multiple stakeholder perspectives and by documenting assumptions and limitations. The result is a research output designed to support decision-makers with context-rich analysis, pragmatic implementation guidance, and prioritized actions tailored to varying enterprise scales and sector requirements.
Conclusive synthesis emphasizing actionable priorities for brokers to integrate digital, partnership, and regional strategies to convert disruption into competitive advantage
In conclusion, freight brokerage firms face a pivotal moment where strategic choices about technology, partnerships, and service design will determine long-term relevance. Brokers that embrace hybrid operating models-integrating digital brokerage capabilities with trusted carrier relationships and industry-specific playbooks-will be best positioned to address the twin demands of resilience and efficiency. Tariff and trade policy changes underscore the need for enhanced customs capabilities and flexible modal strategies, while regional differences demand tailored operating models that respect local ecosystems without sacrificing global coherence.
Ultimately, success will hinge on disciplined execution: prioritizing automation where it reduces cost and cycle time, investing selectively in sector expertise, and reshaping commercial terms to share risk with partners. Decision-makers who act decisively to align capability investments with customer expectations and regulatory realities can convert current disruption into competitive advantage and long-term growth.
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
182 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Adoption of AI driven predictive analytics for dynamic freight pricing adjustments
- 5.2. Integration of real time load tracking and shipment visibility platforms via mobile applications
- 5.3. Expansion of digital freight matching networks enabling spot market capacity optimization
- 5.4. Implementation of blockchain enabled smart contracts for enhanced shipment transparency
- 5.5. Growth of sustainable logistics solutions focusing on carbon footprint reduction strategies
- 5.6. Rise of collaborative 3PL partnerships to provide end to end multimodal transportation services
- 5.7. Increased investment in cybersecurity measures safeguarding sensitive freight data assets
- 5.8. Effects of evolving electronic logging device mandates on carrier brokerage compliance requirements
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Freight Brokerage Services Market, by Service Type
- 8.1. Cross-Border Brokerage
- 8.2. Intermodal Brokerage
- 8.3. Less-Than-Truckload Brokerage
- 8.4. Truckload Brokerage
- 8.4.1. Dedicated Truckload
- 8.4.2. Spot Market Truckload
- 8.4.2.1. Long-Haul
- 8.4.2.2. Short-Haul
- 9. Freight Brokerage Services Market, by Transport Mode
- 9.1. Air
- 9.2. Intermodal
- 9.3. Ocean
- 9.4. Over-The-Road
- 9.5. Rail
- 10. Freight Brokerage Services Market, by Customer Size
- 10.1. Large Enterprises
- 10.2. Mid-Market
- 10.3. Small Enterprises
- 11. Freight Brokerage Services Market, by Freight Class
- 11.1. Dry Van
- 11.2. Flatbed
- 11.3. Hazardous Materials
- 11.4. Refrigerated
- 11.5. Special Equipment
- 12. Freight Brokerage Services Market, by Technology Adoption
- 12.1. Digital Brokerage
- 12.2. Traditional Brokerage
- 13. Freight Brokerage Services Market, by End Use Industry
- 13.1. Automotive
- 13.2. Food & Beverage
- 13.3. Healthcare & Pharmaceuticals
- 13.4. Manufacturing
- 13.5. Retail & E-commerce
- 14. Freight Brokerage Services Market, by Region
- 14.1. Americas
- 14.1.1. North America
- 14.1.2. Latin America
- 14.2. Europe, Middle East & Africa
- 14.2.1. Europe
- 14.2.2. Middle East
- 14.2.3. Africa
- 14.3. Asia-Pacific
- 15. Freight Brokerage Services Market, by Group
- 15.1. ASEAN
- 15.2. GCC
- 15.3. European Union
- 15.4. BRICS
- 15.5. G7
- 15.6. NATO
- 16. Freight Brokerage Services Market, by Country
- 16.1. United States
- 16.2. Canada
- 16.3. Mexico
- 16.4. Brazil
- 16.5. United Kingdom
- 16.6. Germany
- 16.7. France
- 16.8. Russia
- 16.9. Italy
- 16.10. Spain
- 16.11. China
- 16.12. India
- 16.13. Japan
- 16.14. Australia
- 16.15. South Korea
- 17. Competitive Landscape
- 17.1. Market Share Analysis, 2024
- 17.2. FPNV Positioning Matrix, 2024
- 17.3. Competitive Analysis
- 17.3.1. Agility Logistics Pvt. Ltd.
- 17.3.2. ArcBest Corporation
- 17.3.3. C.H. Robinson Worldwide, Inc.
- 17.3.4. CEVA Logistics AG
- 17.3.5. Coyote Logistics by UPS, Inc.
- 17.3.6. Damco International A/S
- 17.3.7. DHL Supply Chain
- 17.3.8. Echo Global Logistics, Inc.
- 17.3.9. England Logistics
- 17.3.10. GlobalTranz Enterprises LLC
- 17.3.11. Hellmann Worldwide Logistics SE & Co. KG
- 17.3.12. Hub Group, Inc.
- 17.3.13. J.B. Hunt Transport, Inc.
- 17.3.14. Kenan Advantage Group
- 17.3.15. Kuehne + Nagel International AG
- 17.3.16. Landstar System, Inc.
- 17.3.17. Mode Transportation
- 17.3.18. Nippon Express Co., Ltd.
- 17.3.19. Schneider National, Inc.
- 17.3.20. Total Quality Logistics, LLC
- 17.3.21. Uber Technologies, Inc.
- 17.3.22. Worldwide Express, Inc.
- 17.3.23. XPO, Inc.
- 17.3.24. Yusen Logistics (Americas) Inc.
Pricing
Currency Rates
Questions or Comments?
Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.
