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市场调查报告书
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1462769

2030 年数位货运匹配市场预测：按技术、服务、运输方式、应用、最终用户和地区进行的全球分析

Digital Freight Matching Market Forecasts to 2030 - Global Analysis By Technology, Service, Transportation Mode, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据Stratistics MRC预测，2023年全球数位货运匹配市场规模将达到375.8亿美元，预计2030年将达到2,840.1亿美元，预测期内复合年增长率为33.50%。

数位货运匹配 (DFM) 是物流和运输行业的变革性技术。利用数位平台和演算法，我们有效地连接托运人和承运人，即时匹配可用货物与货运能力。透过利用资料分析、机器学习和自动化，DFM 简化了传统的手动承运商与出货配对流程，提高了效率、降低了成本并提高了整个供应链的透明度。该技术可以更好地利用资源，减少空载里程，并最大限度地减少等待时间，最终优化托运人和承运人的物流流程。

美国商务部2020年度零售贸易调查（ARTS）显示，2020年美国电商销售额较2019年成长43%。

提高效率并降低成本

透过利用数位平台，公司可以简化流程，例如将货运与可用承运人配对、减少空閒时间以及优化路线。这透过减少卡车空载或运作的时间来提高效率，最终降低整体运输成本。 DFM 解决方案可实现即时追踪和监控，最大限度地减少延迟并确保及时交付。透过自动化许多传统手动任务（例如文件和通讯），DFM 解决方案进一步降低了营运成本，同时提高了整个供应链的生产力。此外，DFM 对效率和降低成本的关注为托运人和承运人带来了切实的利益，使其成为现代物流领域的关键要素。

安全问题

该市场的安全问题围绕着资料隐私、网路攻击和系统漏洞。货物详细资讯和金融交易等敏感资讯是在线上交换的，存在资料外洩和未授权存取的风险。针对 DFM 平台的网路攻击可能会扰乱业务，从而导致相关公司的延误和财务损失。此外，供应链中不同相关人员的整合增加了攻击面，需要强而有力的网路安全措施来防范潜在威胁。

访问更广泛的网络

更广泛的网路存取意味着托运人和承运人透过数位平台与更广泛的潜在合作伙伴和资源建立联繫。透过利用技术，DFM 平台可以超越地理限制，集中承运人、托运人、仲介和其他相关人员的庞大网路。这个扩展的网路将提高货物与可用运力匹配的弹性、效率和扩充性，最终降低成本并提高营运敏捷性。此外，参与者将能够存取即时资料、分析和可见性，从而做出明智的决策和优化的物流策略。

市场分散化

碎片化是数位货运匹配 (DFM) 市场的主要威胁，因为有许多平台提供类似服务。这种碎片化导致效率低下，因为托运人和承运人必须在多个平台上找到合适的匹配，从而增加了交易成本并降低了营运透明度。此外，分散化的市场缺乏标准化，导致市场参与企业难以无缝整合系统。最终，这可能会阻碍 DFM 解决方案的扩充性和普及、抑制创新并限制数位货运产业的整体效率。

COVID-19 的影响：

最初，全球供应链的中断导致对 DFM 解决方案的需求激增，以便在货运量波动和运输能力有限的情况下有效管理物流。但随着经济放缓、交通需求波动，DFM平台在供需有效匹配方面面临挑战。许多 DFM 公司已转向提供附加服务，例如即时追踪和供应链视觉性，以适应不断变化的市场动态。整体而言，疫情加速了 DFM 技术的采用，但也凸显了供应链管理需要更大的弹性和弹性。

基于网路的细分预计在预测期内规模最大

市场区隔中基于网路的细分市场的成长是由互联网普及的提高和网路技术的进步所推动的，这些技术使 DFM 平台更容易存取。基于网路的货运匹配解决方案提供的便利性和效率吸引了托运人和承运人，从而导致用户群不断增长。基于网路的 DFM 平台的扩充性和弹性适合各种规模的企业，有助于市场成长。此外，整合即时追踪和分析等功能将提高业务透明度和决策制定，进一步推动采用。

第三方物流产业预估在预测期间内复合年增长率最高

第三方物流(3PL) 领域的成长主要是由对高效且具成本效益的货运管理解决方案不断增长的需求所推动的。 3PL 供应商正在利用数位技术来简化业务、优化路线并更有效地将货运与可用承运商进行配对。采用此类 DFM 平台使 3PL 能够提供更高的可视性、即时追踪以及托运人和承运人之间的无缝通信，从而提高整个供应链的效率。此外，随着公司越来越多地将物流职能外包以专注于核心竞争力，对 3PL 服务的需求持续成长。此外，DFM 解决方案提供的扩充性和弹性使 3PL 能够快速响应不断变化的市场动态和客户需求，进一步推动该行业的成长。

比最大的地区

北美地区由于其高度发展的交通基础设施和物流网络，市场正在显着增长，为数位解决方案的实施提供了坚实的基础。对高效货运管理和优化的需求不断增长，促使公司寻求 DFM 平台来简化营运并降低成本。精通科技的公司和强大的创业文化正在推动 DFM 领域的创新，导致许多新兴企业和新参与企业的出现。

复合年增长率最高的地区：

亚太地区正在经历显着的成长，电子商务的蓬勃发展以及对高效货运管理解决方案的需求推动了采用数位平台来匹配托运人和承运人。此外，中国、印度和东南亚国家等国家的快速都市化和工业化正在推动对简化物流业务的需求。此外，物联网、人工智慧和区块链等技术进步正在提高该地区货物匹配流程的效率和透明度。旨在促进贸易便利化和基础设施发展的政府措施也有助于亚太地区 DFM 市场的扩张。

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目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球数位货运匹配市场：依技术分类

  • 基于网路的
  • 移动基地
    • iOS
    • Android
  • 企业解决方案
  • 其他技术

第六章全球数位货物匹配市场：依服务分类

  • 职业搜寻
  • 即时发布
  • 其他服务

第七章全球数位货运匹配市场：依运输方式分类

  • 铁路货运
  • 海运
  • 公路货运
  • 空运货物
  • 其他交通方式

第八章全球数位货运匹配市场：按应用分类

  • 职业
  • 货运仲介
  • 托运人
  • 第三方物流
  • 其他用途

第九章 全球数位货运匹配市场：依最终用户分类

  • 零售/电子商务
  • 製造业
  • 车
  • 卫生保健
  • 石油天然气
  • 食品与饮品
  • 其他最终用户

第10章全球数位货运匹配市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第十一章 主要进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章 公司概况

  • 123Loadboard
  • CHRobinson
  • Cargo Chief
  • Convoy
  • DAT Solutions
  • Delhivery
  • Flexport
  • Forto
  • Loadsmart
  • Motive Technologies
  • Samsara
  • Trucker Path
  • Uber Freight
  • uShip
Product Code: SMRC25820

According to Stratistics MRC, the Global Digital Freight Matching Market is accounted for $37.58 billion in 2023 and is expected to reach $284.01 billion by 2030 growing at a CAGR of 33.50% during the forecast period. Digital freight matching (DFM) is a transformative technology in the logistics and transportation industries. It leverages digital platforms and algorithms to efficiently connect shippers with carriers, matching available freight with trucking capacity in real-time. By utilizing data analytics, machine learning, and automation, DFM streamlines the traditionally manual process of matching shipments with carriers, leading to improved efficiency, reduced costs, and enhanced transparency throughout the supply chain. This technology enables better utilization of resources, reduces empty miles, and minimizes wait times, ultimately optimizing the logistics process for both shippers and carriers.

According to the U.S. Department of Commerce's Annual Retail Trade Survey (ARTS) in 2020, e-commerce sales in the U.S. rose by 43% in 2020 compared to 2019.

Market Dynamics:

Driver:

Efficiency and cost reduction

By leveraging digital platforms, companies can streamline the process of matching freight with available carriers, reducing idle time, and optimizing routes. This leads to improved efficiency as trucks spend less time empty or underutilized, ultimately reducing overall transportation costs. DFM solutions enable real-time tracking and monitoring, minimizing delays and ensuring timely deliveries. By automating many tasks traditionally done manually, such as paperwork and communication, DFM solutions further cut down operational costs while enhancing productivity across the supply chain. Additionally, the emphasis on efficiency and cost reduction in DFM translates into tangible benefits for both shippers and carriers, making it a crucial aspect of the modern logistics landscape.

Restraint:

Security concerns

Security concerns in this market revolve around data privacy, cyberattacks, and system vulnerabilities. With sensitive information, such as shipment details and financial transactions, being exchanged online, there's a risk of data breaches and unauthorized access. Cyberattacks targeting DFM platforms could disrupt operations, leading to delays and financial losses for the companies involved. Additionally, the integration of various stakeholders in the supply chain increases the attack surface, requiring robust cybersecurity measures to safeguard against potential threats.

Opportunity:

Access to a wider network

Access to a wider network opportunity is the ability for shippers and carriers to connect with a broader range of potential partners and resources through digital platforms. By leveraging technology, DFM platforms can aggregate a vast network of carriers, shippers, brokers, and other stakeholders, transcending geographical limitations. This expanded network offers increased flexibility, efficiency, and scalability in matching freight with available capacity, ultimately driving down costs and enhancing operational agility. Moreover, it enables participants to access real-time data, analytics, and visibility, empowering informed decision-making and optimized logistics strategies.

Threat:

Market fragmentation

Market fragmentation in the Digital Freight Matching (DFM) market poses a significant threat due to the proliferation of numerous platforms offering similar services. This fragmentation leads to inefficiencies as shippers and carriers must navigate multiple platforms to find suitable matches, resulting in increased transaction costs and reduced operational transparency. Moreover, fragmented markets lack standardization, making it challenging for participants to integrate their systems seamlessly. Ultimately, this hampers the scalability and widespread adoption of DFM solutions, potentially stifling innovation and limiting the overall effectiveness of the digital freight industry.

Covid-19 Impact:

Initially, disruptions in global supply chains led to a surge in demand for DFM solutions to efficiently manage logistics amid fluctuating freight volumes and capacity constraints. However, as economies slowed down and transportation demand fluctuated, DFM platforms faced challenges in matching supply with demand effectively. Many DFM companies pivoted to offer additional services, such as real-time tracking and supply chain visibility, to adapt to changing market dynamics. Overall, while the pandemic accelerated the adoption of DFM technology, it also highlighted the need for greater resilience and flexibility in supply chain management.

The web-based segment is expected to be the largest during the forecast period

The growth of web-based segments in the market is fueled by increased internet penetration and advancements in web technologies which facilitated easier access to DFM platforms. The convenience and efficiency offered by web-based solutions for freight matching attract both shippers and carriers, leading to an expanding user base. The scalability and flexibility of web-based DFM platforms make them suitable for businesses of all sizes, contributing to market growth. Additionally, the integration of features like real-time tracking and analytics enhances operational transparency and decision-making, further driving adoption.

The 3rd party logistics segment is expected to have the highest CAGR during the forecast period

The growth of the 3rd Party Logistics (3PL) segment is primarily driven by the increasing demand for efficient and cost-effective freight management solutions. 3PL providers are leveraging digital technologies to streamline operations, optimize routes, and match shipments with available carriers more effectively. This adoption of DFM platforms allows 3PLs to offer enhanced visibility, real-time tracking, and seamless communication between shippers and carriers, thereby improving overall supply chain efficiency. Moreover, as businesses increasingly outsource their logistics functions to focus on core competencies, the demand for 3PL services continues to rise. Furthermore, he scalability and flexibility offered by DFM solutions enable 3PLs to adapt quickly to changing market dynamics and customer demands, further fueling their growth in this segment.

Region with largest share:

The North American region has experienced significant growth in the market due to the region's highly developed transportation infrastructure and logistics networks, providing a robust foundation for the adoption of digital solutions. The increasing demand for efficient freight management and optimization has driven companies to seek out DFM platforms to streamline operations and reduce costs. The presence of tech-savvy businesses and a strong entrepreneurial culture have fostered innovation in the DFM sector, leading to the emergence of numerous startups and new entrants.

Region with highest CAGR:

The Asia-Pacific region has witnessed substantial growth due to the region's burgeoning e-commerce and efficient need for freight management solutions, driving the adoption of digital platforms for matching shippers with carriers. Additionally, the rapid urbanization and industrialization across countries like China, India, and Southeast Asian nations have spurred demand for streamlined logistics operations. Moreover, advancements in technology, such as IoT, AI, and blockchain, have enhanced the efficiency and transparency of freight matching processes in the region. Government initiatives aimed at improving trade facilitation and infrastructure development have also contributed to the expansion of the DFM market in Asia-Pacific.

Key players in the market

Some of the key players in Digital Freight Matching market include 123Loadboard, C.H.Robinson, Cargo Chief, Convoy, DAT Solutions, Delhivery, Flexport , Forto, Loadsmart, Motive Technologies, Samsara, Trucker Path, Uber Freight and uShip.

Key Developments:

In March 2024, Delhivery has transformed its facility in Punjab's Moga into an all-woman-run hub, the leading integrated logistics service provider. The company plans to establish similar types of all-women-run facilities in other regions of the country, including Uttar Pradesh and Rajasthan.

In January 2024, Trucking industry software platform Trucker Path announced that it has tapped online lending marketplace Lendio to embed small business lending tools within its mobile app. Lendio, will offer Trucker Path's community of one million users a range of financing services, including asset or revenue-based financing, debt financing, lines of credit, and equipment financing.

Technologies Covered:

  • Web-based
  • Mobile-based
  • Enterprise solutions
  • Other Technologies

Services Covered:

  • Carrier search
  • Real-time matching
  • Load posting
  • Other Services

Transportation Modes Covered:

  • Rail freight
  • Ocean Freight
  • Road Freight
  • Air Freight
  • Other Transportation Modes

Applications Covered:

  • Carriers
  • Freight Brokers
  • Shippers
  • 3rd Party Logistics
  • Other Applications

End Users Covered:

  • Retail & E-Commerce
  • Manufacturing
  • Automotive
  • Healthcare
  • Oil & Gas
  • Food & Beverages
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Digital Freight Matching Market, By Technology

  • 5.1 Introduction
  • 5.2 Web-based
  • 5.3 Mobile-based
    • 5.3.1 iOS
    • 5.3.2 Android
  • 5.4 Enterprise solutions
  • 5.5 Other Technologies

6 Global Digital Freight Matching Market, By Service

  • 6.1 Introduction
  • 6.2 Carrier search
  • 6.3 Real-time matching
  • 6.4 Load posting
  • 6.5 Other Services

7 Global Digital Freight Matching Market, By Transportation Mode

  • 7.1 Introduction
  • 7.2 Rail freight
  • 7.3 Ocean Freight
  • 7.4 Road Freight
  • 7.5 Air Freight
  • 7.6 Other Transportation Modes

8 Global Digital Freight Matching Market, By Application

  • 8.1 Introduction
  • 8.2 Carriers
  • 8.3 Freight Brokers
  • 8.4 Shippers
  • 8.5 3rd Party Logistics
  • 8.6 Other Applications

9 Global Digital Freight Matching Market, By End User

  • 9.1 Introduction
  • 9.2 Retail & E-Commerce
  • 9.3 Manufacturing
  • 9.4 Automotive
  • 9.5 Healthcare
  • 9.6 Oil & Gas
  • 9.7 Food & Beverages
  • 9.8 Other End Users

10 Global Digital Freight Matching Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 123Loadboard
  • 12.2 C.H.Robinson
  • 12.3 Cargo Chief
  • 12.4 Convoy
  • 12.5 DAT Solutions
  • 12.6 Delhivery
  • 12.7 Flexport
  • 12.8 Forto
  • 12.9 Loadsmart
  • 12.10 Motive Technologies
  • 12.11 Samsara
  • 12.12 Trucker Path
  • 12.13 Uber Freight
  • 12.14 uShip

List of Tables

  • Table 1 Global Digital Freight Matching Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Digital Freight Matching Market Outlook, By Technology (2021-2030) ($MN)
  • Table 3 Global Digital Freight Matching Market Outlook, By Web-based (2021-2030) ($MN)
  • Table 4 Global Digital Freight Matching Market Outlook, By Mobile-based (2021-2030) ($MN)
  • Table 5 Global Digital Freight Matching Market Outlook, By iOS (2021-2030) ($MN)
  • Table 6 Global Digital Freight Matching Market Outlook, By Android (2021-2030) ($MN)
  • Table 7 Global Digital Freight Matching Market Outlook, By Enterprise solutions (2021-2030) ($MN)
  • Table 8 Global Digital Freight Matching Market Outlook, By Other Technologies (2021-2030) ($MN)
  • Table 9 Global Digital Freight Matching Market Outlook, By Service (2021-2030) ($MN)
  • Table 10 Global Digital Freight Matching Market Outlook, By Carrier search (2021-2030) ($MN)
  • Table 11 Global Digital Freight Matching Market Outlook, By Real-time matching (2021-2030) ($MN)
  • Table 12 Global Digital Freight Matching Market Outlook, By Load posting (2021-2030) ($MN)
  • Table 13 Global Digital Freight Matching Market Outlook, By Other Services (2021-2030) ($MN)
  • Table 14 Global Digital Freight Matching Market Outlook, By Transportation Mode (2021-2030) ($MN)
  • Table 15 Global Digital Freight Matching Market Outlook, By Rail freight (2021-2030) ($MN)
  • Table 16 Global Digital Freight Matching Market Outlook, By Ocean Freight (2021-2030) ($MN)
  • Table 17 Global Digital Freight Matching Market Outlook, By Road Freight (2021-2030) ($MN)
  • Table 18 Global Digital Freight Matching Market Outlook, By Air Freight (2021-2030) ($MN)
  • Table 19 Global Digital Freight Matching Market Outlook, By Other Transportation Modes (2021-2030) ($MN)
  • Table 20 Global Digital Freight Matching Market Outlook, By Application (2021-2030) ($MN)
  • Table 21 Global Digital Freight Matching Market Outlook, By Carriers (2021-2030) ($MN)
  • Table 22 Global Digital Freight Matching Market Outlook, By Freight Brokers (2021-2030) ($MN)
  • Table 23 Global Digital Freight Matching Market Outlook, By Shippers (2021-2030) ($MN)
  • Table 24 Global Digital Freight Matching Market Outlook, By 3rd Party Logistics (2021-2030) ($MN)
  • Table 25 Global Digital Freight Matching Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 26 Global Digital Freight Matching Market Outlook, By End User (2021-2030) ($MN)
  • Table 27 Global Digital Freight Matching Market Outlook, By Retail & E-Commerce (2021-2030) ($MN)
  • Table 28 Global Digital Freight Matching Market Outlook, By Manufacturing (2021-2030) ($MN)
  • Table 29 Global Digital Freight Matching Market Outlook, By Automotive (2021-2030) ($MN)
  • Table 30 Global Digital Freight Matching Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 31 Global Digital Freight Matching Market Outlook, By Oil & Gas (2021-2030) ($MN)
  • Table 32 Global Digital Freight Matching Market Outlook, By Food & Beverages (2021-2030) ($MN)
  • Table 33 Global Digital Freight Matching Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.