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Digital Freight Matching in United States Trends and Forecast

The future of the digital freight matching market in United States looks promising, with opportunities in the food & beverage, retail & e-commerce, manufacturing, oil & gas, automotive, and healthcare markets. The global digital freight matching market is expected to reach an estimated $105.5 billion by 2031, with a CAGR of 25.3% from 2025 to 2031. The digital freight matching market in United States is also forecasted to witness strong growth over the forecast period. The major drivers for this market are increasing need for automation and digitization across supply chains, improved efficiency and cost saving offered by the system, along with the technological revolution in the transportation and logistics sector.

• Lucintel forecasts that, within the service category, the freight matching service will remain the larger segment over the forecast period due to increasing demand for services like freight listing and brokerage, and online transaction services.
• Within the end use category, food & beverage will remain the largest segment because they need rapid and effective shipping options to preserve their quality.

Digital Freight Matching Market in United States Trends and Forecast

Emerging Trends in the Digital Freight Matching Market in United States

The digital freight matching market in the United States is experiencing rapid growth, driven by technological advancements, evolving consumer expectations, and an increasingly competitive logistics landscape. As supply chains become more complex, businesses are leveraging digital platforms to optimize freight matching, reduce inefficiencies, and enhance operational performance. These trends are reshaping the industry by enabling faster, more transparent, and cost-effective freight management. Below are five key emerging trends that are transforming the digital freight matching market in the United States.

• Artificial Intelligence and Machine Learning Integration: The use of artificial intelligence (AI) and machine learning (ML) is revolutionizing the digital freight matching market in the U.S. These technologies enable platforms to predict demand, optimize routes, and match freight more efficiently. AI-driven algorithms analyze vast amounts of data to make smarter decisions, resulting in reduced empty miles, improved fuel efficiency, and lower operational costs. The adoption of AI and ML is enhancing the accuracy of freight matching, enabling carriers to increase capacity utilization while minimizing idle time.
• Real-Time Freight Visibility: Real-time freight visibility is becoming a key trend in the digital freight matching market, as customers and carriers demand greater transparency throughout the supply chain. Platforms are incorporating GPS tracking, sensor data, and other technologies to provide live updates on shipments. This transparency allows stakeholders to monitor the status of their freight, anticipate delays, and make informed decisions. Real-time visibility not only improves operational efficiency but also enhances customer experience by providing timely and accurate information regarding deliveries.
• Blockchain for Enhanced Security and Transparency: Blockchain technology is emerging as a game-changer in the digital freight matching space. Its decentralized, immutable nature ensures that all transactions are secure, transparent, and easily traceable. By integrating blockchain, freight platforms can streamline processes such as invoicing, customs clearance, and shipment tracking. This technology reduces the risk of fraud, enhances data integrity, and improves the overall security of digital transactions. As blockchain adoption grows, it will increase trust across the supply chain and help to create a more secure digital freight ecosystem.
• Sustainability and Green Logistics: Sustainability is becoming a significant focus within the digital freight matching market. With increasing pressure from consumers and regulators, companies are prioritizing green logistics initiatives such as carbon emissions reduction and fuel-efficient operations. Digital platforms are leveraging data to optimize routes and reduce fuel consumption, thereby lowering the environmental impact of freight transportation. Additionally, digital platforms are encouraging the adoption of electric and alternative fuel vehicles (AFVs), which aligns with the broader sustainability goals of reducing the carbon footprint of the logistics industry.
• Expansion of Last-Mile Delivery Solutions: The growing demand for faster deliveries, especially in the e-commerce sector, is driving innovation in last-mile delivery solutions. Digital freight matching platforms are adapting to meet these demands by offering optimized last-mile services, including gig economy-driven solutions. The rise of crowd-sourced deliveries, autonomous delivery vehicles, and micro-hubs is making last-mile delivery more efficient and cost-effective. These innovations enable logistics providers to improve delivery speed while reducing congestion in urban areas, enhancing the overall customer experience.

These emerging trends are transforming the digital freight matching market in the United States by making it more efficient, transparent, secure, and sustainable. As technologies such as AI, blockchain, and real-time tracking become more integrated into digital freight platforms, the industry is moving toward more intelligent, eco-friendly, and consumer-focused solutions. The rise of last-mile delivery innovations and a focus on sustainability are reshaping the future of freight matching, offering new opportunities for growth and competition in the logistics space.

Recent Developments in the Digital Freight Matching Market in United States

The digital freight matching market in the United States has witnessed significant growth in recent years, driven by advancements in technology and increasing demand for efficiency within logistics and transportation. Companies are embracing digital platforms to enhance freight matching, improve supply chain transparency, and optimize delivery operations. These developments have had a substantial impact on how freight is managed, creating new opportunities for growth and innovation in the logistics sector. Below are five key developments shaping the digital freight matching landscape in the United States.

• Integration of Artificial Intelligence (AI) for Freight Optimization: Artificial intelligence (AI) is transforming the digital freight matching market in the United States. AI algorithms are being integrated into platforms to optimize routes, predict demand, and match freight with carriers more efficiently. This technology enhances capacity utilization, reduces idle time, and helps minimize operational costs. AI’s ability to process large datasets allows for more precise decision-making, enabling freight companies to improve operational efficiency while reducing fuel consumption and carbon emissions.
• Increased Focus on Real-Time Tracking and Visibility: Real-time tracking and visibility have become essential features in digital freight matching platforms. With the integration of GPS, IoT sensors, and other tracking technologies, stakeholders can monitor freight movement from start to finish. This increased transparency allows customers to track shipments, anticipate delays, and make real-time decisions to address issues. Real-time visibility enhances trust and communication between shippers, carriers, and consumers, improving overall supply chain performance and customer satisfaction.
• Adoption of Blockchain for Secure Transactions: Blockchain technology is increasingly being used in digital freight matching to enhance security and transparency in freight transactions. Blockchain’s decentralized and immutable nature ensures that all data related to shipments, including invoicing, payments, and tracking information, is secure and transparent. This reduces the risk of fraud, eliminates disputes, and ensures that all parties in the supply chain have access to accurate, reliable information. The integration of blockchain builds trust and strengthens the integrity of digital freight systems.
• Sustainability Initiatives in Freight Matching Platforms: With growing environmental concerns and stricter regulations, sustainability has become a significant priority in the digital freight matching market. Digital platforms are now incorporating green logistics practices, such as route optimization, to reduce fuel consumption and emissions. Additionally, there is a push toward adopting electric vehicles (EVs) and alternative fuel technologies in the freight sector. These initiatives align with the wider industry trend towards reducing the environmental footprint of transportation, enhancing the reputation of companies committed to sustainability.
• Expansion of Last-Mile Delivery Solutions: The growth of e-commerce has resulted in a heightened demand for efficient last-mile delivery solutions. Digital freight matching platforms are evolving to address this demand by offering innovative last-mile services. This includes crowd-sourced deliveries, autonomous vehicles, and electric cargo bikes to tackle congestion and improve delivery speed. These solutions are designed to reduce delivery costs, enhance efficiency, and support environmental goals, transforming the landscape of urban logistics and providing faster, more flexible delivery options.


Recent developments in the digital freight matching market in the United States have reshaped the logistics sector. The integration of AI, real-time tracking, and blockchain technology is streamlining operations and improving transparency, while sustainability initiatives and the expansion of last-mile delivery solutions are addressing growing environmental concerns and consumer expectations. As the market continues to evolve, these developments are setting the stage for a more efficient, secure, and sustainable future for freight management, offering both logistical and economic benefits across the industry.

Strategic Growth Opportunities for Digital Freight Matching Market in United States

The digital freight matching market in the United States is rapidly evolving as technological innovations and consumer expectations drive the need for more efficient and sustainable logistics solutions. Key applications such as artificial intelligence, real-time tracking, sustainability initiatives, and automation are opening doors for strategic growth. These opportunities are transforming the logistics landscape by improving efficiency, reducing operational costs, and enhancing customer experience. Below are five key growth opportunities by application that are shaping the future of the market.

• Artificial Intelligence for Enhanced Freight Optimization: AI-driven platforms are providing substantial growth opportunities in the digital freight matching market. By leveraging machine learning algorithms, these platforms can predict demand, optimize routes, and improve load matching. This technology can also help minimize empty miles, reducing fuel consumption and operational costs. AI’s ability to process vast amounts of data allows logistics companies to make real-time decisions, improve efficiency, and increase profitability. As AI continues to evolve, its role in streamlining operations and increasing capacity utilization will be critical in driving further growth in the market.
• Real-Time Tracking and Visibility Solutions: Real-time tracking and visibility are central to the growth of the digital freight matching market in the United States. With increasing consumer demand for transparency and faster deliveries, logistics companies are integrating GPS and IoT sensors into their platforms. This technology provides end-to-end visibility of shipments, enabling stakeholders to monitor progress, anticipate delays, and make timely adjustments. Real-time tracking improves trust between shippers, carriers, and consumers and enhances customer experience. Additionally, it enables logistics companies to optimize route planning, reduce delays, and offer more reliable services, driving market growth.
• Blockchain for Secure and Transparent Transactions
Blockchain technology presents a significant growth opportunity by improving security, transparency, and accountability in the digital freight matching market. With its decentralized and immutable nature, blockchain ensures that all transaction data, including invoicing and tracking, is tamper-proof and transparent. This reduces fraud and billing disputes, providing both shippers and carriers with trust in the platform. Blockchain can also facilitate quicker and more secure payment processes, further enhancing the efficiency and reliability of digital freight matching platforms. As blockchain adoption grows, it will foster greater trust and reliability, driving long-term growth.
• Sustainability and Green Logistics Practices: Sustainability is a growing focus in the digital freight matching market, driven by regulatory pressures and increasing consumer preference for environmentally friendly services. Companies are leveraging digital platforms to optimize routes, reduce fuel consumption, and adopt electric vehicles (EVs). Additionally, platforms are offering carbon footprint tracking and reporting features to help businesses align with environmental goals. These sustainability practices not only benefit the environment but also reduce operational costs, making them a key growth opportunity in the market. Companies that prioritize sustainability will gain a competitive edge, attracting eco-conscious consumers and partners.
• Automation and Autonomous Vehicles in Freight Matching: Automation and the use of autonomous vehicles are creating new growth opportunities in the digital freight matching market. Autonomous trucks and drones are revolutionizing long-haul trucking and last-mile delivery, reducing labor costs and improving delivery times. Automation in warehouse operations, including sorting and inventory management, is streamlining logistics further. Digital freight platforms are incorporating these technologies to offer faster and more efficient services while reducing human error. As these technologies mature, they will play a key role in driving growth by offering scalable, cost-effective, and highly efficient logistics solutions.

Strategic growth opportunities in the digital freight matching market in the United States are reshaping the logistics industry. Advancements in AI, real-time tracking, blockchain, sustainability, and automation are enabling companies to optimize operations, improve transparency, and meet growing consumer demands. These opportunities not only enhance operational efficiency but also contribute to environmental goals, improving customer experience and creating competitive advantages. As these innovations continue to evolve, they will play a crucial role in expanding the digital freight matching market and transforming logistics across the United States.

Digital Freight Matching Market in United States Driver and Challenges

The digital freight matching market in the United States is shaped by a complex blend of technological advancements, economic conditions, and regulatory frameworks. These factors are driving innovation and efficiency while also presenting notable obstacles to adoption and implementation. On the one hand, innovations such as artificial intelligence and real-time tracking are streamlining logistics operations and lowering costs. On the other hand, challenges such as infrastructure limitations and data security concerns pose significant hurdles. Understanding these drivers and challenges is essential for stakeholders seeking to navigate and succeed in this evolving market.

The factors responsible for driving the digital freight matching market in the United States include:
• Advancements in Artificial Intelligence and Machine Learning: AI and machine learning are key drivers enabling real-time data analysis, predictive route optimization, and improved freight matching. These technologies help logistics providers reduce empty miles and improve load utilization, ultimately lowering operational costs. AI also allows for dynamic pricing models that adjust to demand and supply, creating more flexible and efficient freight networks. As digital freight platforms adopt AI, they gain a competitive advantage by offering faster, more accurate matching solutions that meet the growing expectations of shippers and carriers in a high-demand market.
• Increased Demand for Supply Chain Visibility: Modern businesses and consumers demand transparency in the supply chain, pushing the adoption of digital freight platforms that offer real-time tracking and shipment updates. These tools enhance communication between stakeholders and help identify delays or disruptions early, leading to faster problem resolution. This transparency builds trust and reliability in the logistics process, attracting more users to digital freight matching solutions. The demand for visibility is also driven by regulatory compliance and customer service standards, making it a critical factor in the growth of digital logistics platforms.
• Growth of E-Commerce and On-Demand Delivery Services: The rapid expansion of e-commerce and expectations for faster delivery have created a pressing need for more efficient freight solutions. Digital freight matching platforms address this demand by quickly connecting shippers with available carriers, reducing the time and cost associated with traditional freight booking methods. These platforms can manage fluctuating volumes more effectively and provide scalable solutions for peak seasons. The rise in last-mile delivery services also fuels demand for flexible, tech-driven logistics networks, positioning digital freight matching as a central element in modern transportation systems.
• Supportive Regulatory Policies and Investment in Infrastructure: Federal and state initiatives to modernize transportation infrastructure and digitize logistics processes are contributing to market growth. Programs encouraging data standardization, digital documentation, and real-time compliance tracking are simplifying freight operations. Additionally, government investments in road and port infrastructure enhance the speed and efficiency of freight movement. These policies reduce administrative burden and create a favorable environment for digital freight technology adoption, particularly among small and medium-sized enterprises that may lack resources for complex logistics systems.
• Cost Reduction and Operational Efficiency for Carriers and Shippers: Digital freight matching platforms offer substantial cost savings by automating the freight booking process and minimizing reliance on intermediaries. Real-time data analytics enables better decision-making, reduced fuel consumption, and improved asset utilization. Shippers benefit from competitive pricing and greater choice, while carriers experience higher load availability and route optimization. These efficiencies help businesses remain competitive in a rapidly changing logistics landscape, making digital freight platforms an attractive option for both large fleets and independent operators.

Challenges in the digital freight matching market in the United States are:
• Fragmentation of the Logistics Industry: The highly fragmented nature of the freight and logistics industry in the United States poses a challenge to the standardization and adoption of digital platforms. Many small and mid-sized carriers lack the digital infrastructure or technical expertise to engage with these platforms effectively. This fragmentation limits the scalability of digital freight solutions and hampers their integration across the broader transportation ecosystem. Overcoming this challenge requires increased industry collaboration and targeted support to encourage smaller carriers to adopt digital tools.
• Cybersecurity and Data Privacy Concerns: With the increasing digitization of freight processes comes a heightened risk of cyber threats and data breaches. Logistics platforms collect and manage large volumes of sensitive information, including shipment data, payment details, and personal user information. Any compromise can result in significant financial and reputational damage. Ensuring robust cybersecurity measures and compliance with data privacy regulations is essential for building trust and encouraging wider platform adoption. However, implementing these safeguards often involves considerable costs and complexity.
• Integration Challenges with Legacy Systems: Many logistics companies still rely on traditional systems and manual processes, making it difficult to seamlessly integrate digital freight platforms. Compatibility issues, training needs, and resistance to change can slow down digital transformation. Without smooth integration, the benefits of digital freight matching may not be fully realized, resulting in inefficiencies and duplicated efforts. To overcome this barrier, platform developers need to offer flexible integration options and provide adequate support during the transition process.

The digital freight matching market in the United States is being propelled by powerful drivers such as technological innovation, rising e-commerce demand, and supportive regulations. However, challenges including industry fragmentation, cybersecurity risks, and integration barriers must be addressed to ensure sustainable growth. Overall, the market is set for robust expansion as stakeholders embrace digital solutions that improve efficiency, transparency, and cost-effectiveness. Companies that proactively address these challenges and leverage the key drivers will be better positioned to lead in this evolving logistics landscape.

List of Digital Freight Matching Market in United States Companies

Companies in the market compete based on the product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leveraging integration opportunities across the value chain. Through these strategies, digital freight matching companies cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the digital freight matching companies profiled in this report include:
• Company 1
• Company 2
• Company 3
• Company 4
• Company 5
• Company 6
• Company 7
• Company 8
• Company 9
• Company 10

Digital Freight Matching Market in United States by Segment

The study includes a forecast for the digital freight matching market in United States by service, platform, transportation mode, and end use.

Digital Freight Matching Market in United States by Service [Analysis by Value from 2019 to 2031]:


• Freight Matching Services
• Value Added Services

Digital Freight Matching Market in United States by Platform [Analysis by Value from 2019 to 2031]:


• Web-Based
• Mobile-Based

Digital Freight Matching Market in United States by Transportation mode [Analysis by Value from 2019 to 2031]:


• Full Truckload
• Less-Than-Truckload
• Intermodal
• Others

Digital Freight Matching Market in United States by End Use [Analysis by Value from 2019 to 2031]:


• Food & Beverages
• Retail & E-Commerce
• Manufacturing
• Oil & Gas
• Automotive
• Healthcare
• Others

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Features of the Digital Freight Matching Market in United States

Market Size Estimates: Digital freight matching in United States market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends and forecasts by various segments.
Segmentation Analysis: Digital freight matching in United States market size by service, platform, transportation mode, and end use in terms of value ($B).
Growth Opportunities: Analysis of growth opportunities in different services, platforms, transportation modes, and end uses for the digital freight matching in United States.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the digital freight matching in United States.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.

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FAQ

Q1. What are the major drivers influencing the growth of the digital freight matching market in United States?
Answer: The major drivers for this market are increasing need for automation and digitization across supply chains, improved efficiency and cost saving offered by the system, along with the technological revolution in the transportation and logistics sector.
Q2. What are the major segments for digital freight matching market in United States?
Answer: The future of the digital freight matching market in United States looks promising with opportunities in the food & beverage, retail & e-commerce, manufacturing, oil & gas, automotive, and healthcare markets.
Q3. Which digital freight matching market segment in United States will be the largest in future?
Answer: Lucintel forecasts that, within the service category, the freight matching service will remain the larger segment over the forecast period due to increasing demand for services like freight listing and brokerage, and online transaction services.
Q4. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 10 key questions:

Q.1. What are some of the most promising, high-growth opportunities for the digital freight matching market in United States by service (freight matching services and value added services), platform (web-based and mobile-based), transportation mode (full truckload, less-than-truckload, intermodal, and others), and end use (food & beverages, retail & e-commerce, manufacturing, oil & gas, automotive, healthcare, and others)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.4. What are the business risks and competitive threats in this market?
Q.5. What are the emerging trends in this market and the reasons behind them?
Q.6. What are some of the changing demands of customers in the market?
Q.7. What are the new developments in the market? Which companies are leading these developments?
Q.8. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.9. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.10. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
For any questions related to Digital Freight Matching Market in United States, Digital Freight Matching Market in United States Size, Digital Freight Matching Market in United States Growth, Digital Freight Matching Market in United States Analysis, Digital Freight Matching Market in United States Report, Digital Freight Matching Market in United States Share, Digital Freight Matching Market in United States Trends, Digital Freight Matching Market in United States Forecast, Digital Freight Matching Companies, write Lucintel analyst at email: helpdesk@lucintel.com. We will be glad to get back to you soon.

                                                            Table of Contents

            1. Executive Summary

            2. Digital Freight Matching Market in United States: Market Dynamics
                        2.1: Introduction, Background, and Classifications
                        2.2: Supply Chain
                        2.3: Industry Drivers and Challenges

            3. Market Trends and Forecast Analysis from 2019 to 2031
                        3.1. Macroeconomic Trends (2019-2024) and Forecast (2025-2031)
                        3.2. Digital Freight Matching Market in United States Trends (2019-2024) and Forecast (2025-2031)
                        3.3: Digital Freight Matching Market in United States by Service
                                    3.3.1: Freight Matching Services
                                    3.3.2: Value Added Services
                        3.4: Digital Freight Matching Market in United States by Platform
                                    3.4.1: Web-based
                                    3.4.2: Mobile-based
                        3.5: Digital Freight Matching Market in United States by Transportation mode
                                    3.5.1: Full Truckload
                                    3.5.2: Less-than-truckload
                                    3.5.3: Intermodal
                                    3.5.4: Others
                                    3.6: Digital Freight Matching Market in United States by End Use
                                    3.6.1: Food & Beverages
                                    3.6.2: Retail & E-Commerce
                                    3.6.3: Manufacturing
                                    3.6.4: Oil & Gas
                                    3.6.5: Automotive
                                    3.6.6: Healthcare
                                    3.6.7: Others

            4. Competitor Analysis
                        4.1: Product Portfolio Analysis
                        4.2: Operational Integration
                        4.3: Porter’s Five Forces Analysis

            5. Growth Opportunities and Strategic Analysis
                        5.1: Growth Opportunity Analysis
                                    5.1.1: Growth Opportunities for the Digital Freight Matching Market in United States by Service
                                    5.1.2: Growth Opportunities for the Digital Freight Matching Market in United States by Platform
                                    5.1.3: Growth Opportunities for the Digital Freight Matching Market in United States by Transportation mode
                                    5.1.4: Growth Opportunities for the Digital Freight Matching Market in United States by End Use
                        5.2: Emerging Trends in the Digital Freight Matching Market in United States
                        5.3: Strategic Analysis
                                    5.3.1: New Product Development
                                    5.3.2: Capacity Expansion of the Digital Freight Matching Market in United States
                                    5.3.3: Mergers, Acquisitions, and Joint Ventures in the Digital Freight Matching Market in United States
                                    5.3.4: Certification and Licensing

            6. Company Profiles of Leading Players
                        6.1: Company 1
                        6.2: Company 2
                        6.3: Company 3
                        6.4: Company 4
                        6.5: Company 5
                        6.6: Company 6
                        6.7: Company 7
                        6.8: Company 8
                        6.9: Company 9
                        6.10: Company 10
.

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Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
  • In-depth interviews of the major players in this market
  • Detailed secondary research from competitors’ financial statements and published data 
  • Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
  • A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
 
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process. 
 

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