The global demand for Digital Freight Matching Market is presumed to reach the market size of nearly USD 280.03 BN by 2030 from USD 29.37 BN in 2022 with a CAGR of 32.56% under the study period 2023 - 2030.
Digital freight matching (DFM) refers to the process of using digital platforms and technology to connect shippers (those needing to transport goods) with carriers (those providing transportation services) in the freight and logistics industry. This technology-driven approach streamlines the traditional freight brokerage process by leveraging digital platforms, algorithms, and data analytics to match available freight with appropriate carriers more efficiently.
The digital freight matching market is experiencing robust growth driven by technological advancements, industry demands, and changing logistics dynamics. Rapid progress in technologies forms the foundation of sophisticated algorithms, optimizing freight matching efficiency. Real-time visibility and transparency in the supply chain are paramount, and DFM platforms meet this demand by providing instant insights into shipment status and locations. Operational efficiencies are a key attraction, as digital freight matching automates processes, reducing empty miles and optimizing resource utilization, leading to significant cost savings for both shippers and carriers. Dynamic pricing models respond to real-time market conditions, enhancing competitiveness and adaptability. The growing e-commerce industry, customer expectations for visibility, and the complexities of global supply chains further fuel the adoption of DFM solutions. Cloud computing, environmental considerations, and collaborative efforts between start-ups and established players contribute to the continued evolution and expansion of the DFM market. As logistics undergoes transformative shifts, digital freight matching stands at the forefront, providing agile, tech-driven solutions for the modern freight and logistics landscape.
The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of digital freight matching. The growth and trends of digital freight matching industry provide a holistic approach to this study.
This section of the digital freight matching market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
By Service
By Platform
By Transportation Mode
By Industry
This section covers the regional outlook, which accentuates current and future demand for the Digital Freight Matching market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Digital Freight Matching 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., Roper Technologies Inc. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
1 . PREFACE
1.1. Report Description
1.1.1. Objective
1.1.2. Target Audience
1.1.3. Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
1.3.1. Market Research Process
1.3.2. Market Research Methodology
2 . EXECUTIVE SUMMARY
2.1. Highlights of Market
2.2. Global Market Snapshot
3 . DIGITAL FREIGHT MATCHING – INDUSTRY ANALYSIS
3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter’s Five Force Analysis
3.7. Market Attractiveness Analysis
3.7.1 Market Attractiveness Analysis By Service
3.7.2 Market Attractiveness Analysis By Platform
3.7.3 Market Attractiveness Analysis By Transportation Mode
3.7.4 Market Attractiveness Analysis By Industry
3.7.5 Market Attractiveness Analysis By Region
4 . VALUE CHAIN ANALYSIS
4.1. Value Chain Analysis
4.2. Raw Material Analysis
4.2.1. List of Raw Materials
4.2.2. Raw Material Manufactures List
4.2.3. Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
4.4.1. Direct Marketing
4.4.2. Indirect Marketing
4.4.3. Marketing Channel Development Trend
5 . GLOBAL DIGITAL FREIGHT MATCHING MARKET ANALYSIS BY SERVICE
5.1 Overview by Service
5.2 Historical and Forecast Data
5.3 Analysis by Service
5.4 Freight Matching Services Historic and Forecast Sales by Regions
5.5 Value Added Services Historic and Forecast Sales by Regions
6 . GLOBAL DIGITAL FREIGHT MATCHING MARKET ANALYSIS BY PLATFORM
6.1 Overview by Platform
6.2 Historical and Forecast Data
6.3 Analysis by Platform
6.4 Web-based Historic and Forecast Sales by Regions
6.5 Mobile-based (Android, iOS) Historic and Forecast Sales by Regions
7 . GLOBAL DIGITAL FREIGHT MATCHING MARKET ANALYSIS BY TRANSP...
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