Digital Freight Matching Market Growth
Potential & Forecast, 2032

Digital
Freight Matching Market is estimated to be valued at over USD 101 billion
by 2032. The increasing demand for efficient and cost-effective freight
transportation solutions is propelling the adoption of digital freight matching
(DFM) platforms. These platforms leverage technologies, such as ML and AI to
match freight shipments with available carriers in real-time for streamlining
the logistics process and reducing empty miles. To cite an instance, in January
2024, RXO, a provider of asset-light transportation solutions, unveiled an AI-
driven check-in system for trucks arriving at warehouses and distribution
centers.

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By
facilitating more efficient route planning and load optimization, DFM platforms
help reduce fuel consumption and greenhouse gas emissions, aligning with the
global efforts towards greener transportation practices. The digitalization of
the freight industry is also enabling greater visibility and transparency
throughout the supply chain for enhancing operational efficiency and customer
satisfaction. As businesses seek to optimize their logistics operations and
adapt to evolving industry dynamics, the market will depict steady growth.

Based on technology, the enterprise solutions
segment in the digital freight matching market is expected to record lucrative
expansion from 2023 to 2032. The growth is attributed to the strong need for
addressing the complex logistical challenges faced by businesses. Enterprise
solutions also offer comprehensive platforms equipped with advanced features,
such as real-time tracking, route optimization, and automated documentation for
streamlining the freight matching process and enhancing operational efficiency.

Digital freight matching market from the air freight transportation mode segment
is expected to expand exponentially up to 2032. The speed and efficiency of air
transportation makes it an attractive option for time-sensitive shipments,
particularly in industries like e-commerce, pharmaceuticals, and perishables. DFM
platforms facilitate seamless coordination between shippers and air carriers
for enabling real-time booking and tracking of air freight shipments. The
global nature of trade and commerce coupled with the rise of cross-border
e-commerce will also contribute to the segment growth.

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Asia
Pacific digital freight matching industry is likely to witness significant
growth during 2023-2032, attributed to the burgeoning e-commerce sector. The
diverse and fragmented logistics sector is largely benefitting from digital
freight matching platforms as they offer streamlined operations and enhanced
connectivity across supply chain networks. The rise of tech-savvy startups and
innovative solutions tailored to the local market is propelling the adoption of
digital freight matching platforms. Rising government initiatives for improving
trade infrastructure and fostering digitalization by creating an enabling
environment for technology adoption will add to the regional market growth.

Partial chapters of report table of contents
(TOC):

Chapter
1   Methodology

1.1    Industry
coverage

1.2    Market scope
& definitions

1.3    Research
design

1.4    Data
collection techniques

1.5    Market size
estimation

1.6    Forecast
parameters

1.7    Data sources

1.7.1   Primary

1.7.2   Secondary

1.8    Paid sources

1.9    Unpaid
sources

Chapter 2   Executive Summary

2.1    Digital
freight matching industry 360⁰ synopsis,
2018 - 2032

2.1.1    Business
trends

2.1.2    Regional
trends

2.1.3   
Transportation mode trends

2.1.4    Technology
trends

2.1.5    Service
trends

2.1.6    End user
trends

Chapter 3   Digital Freight Matching Industry
Insights

3.1    Impact of
COVID-19

3.2    Impact of
the Russia-Ukraine war

3.3    Industry
ecosystem analysis

3.4    Vendor
matrix

3.5    Profit
margin analysis

3.6    Technology
& innovation landscape

3.7    Patent
analysis

3.8    Key news and
initiatives

3.8.1   
Partnership/Collaboration

3.8.2   
Merger/Acquisition

3.8.3    Investment

3.8.4    Level of
autonomy launch & innovation

3.9    Regulatory
landscape

3.10    Impact
forces

3.10.1    Growth
drivers

3.10.1.1    Rising
need for reliable connections between carriers and shippers

3.10.1.2   
Increased demand for reliable freight partners

3.10.1.3    Rising
need to reduce the manual work

3.10.1.4    Demand
for real-time visibility of shipments

3.10.2    Industry
pitfalls & challenges

3.10.2.1    High
fragmentation of the logistics industry

3.10.2.2    Data
security concerns

3.11    Growth
potential analysis

3.12    Porter’s
analysis

3.13    PESTEL
analysis

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