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Asia Pacific Digital Freight Matching Market Size, Share & Industry Trends Analysis Report By Service (Freight Matching Services, & Value-Added Services), By Transportation Mode, By Platform, By Industry, By Country and Growth Forecast, 2023 - 2030

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    Report

  • 152 Pages
  • September 2023
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5903454
The Asia Pacific Digital Freight Matching Market would witness market growth of 31.8% CAGR during the forecast period (2023-2030).

A digital freight matching platform is a digital marketplace that connects shippers and carriers in real time. Shippers seek available capacity that meets their shipment requirements, while carriers seek specific loads to fill their fleets or vehicles. Governments are implementing initiatives to accelerate the movement of goods and resolve supply chain issues.

Integration possibilities with enterprise resource planning (ERP) and transportation management systems (TMS) are boosting the popularity of digital freight matching in the logistics industry. The platforms provide enhanced operational efficacy and rapid and effective capacity fulfillment. The platforms use cutting-edge technologies such as machine learning, artificial intelligence (AI), and predictive analytics to create algorithms that automatically match cargo with carriers. Freight Technologies, Inc. announced the release of Fr8App, a digital freight matching platform, in March 2023. The platform matches exporters with carriers using machine-learning algorithms. The company intended to make shipping more cost-effective and suitable with this release.

The rapid expansion of e-commerce in APAC countries, including China, India, and Southeast Asian nations, has fuelled the demand for efficient and flexible freight transportation solutions. DFM platforms help e-commerce companies manage logistics more effectively to meet customer expectations for fast and reliable deliveries. APAC is home to complex and diverse supply chains, with goods manufactured and distributed across borders. DFM platforms provide shippers and carriers with tools to optimize their supply chains, reduce transportation costs, and streamline cross-border trade. APAC is a global trade hub with significant imports and exports. Due to the factors as mentioned above, the market will boost in this region.

The China market dominated the Asia Pacific Digital Freight Matching Market, By Country in 2022, and would continue to be a dominant market till 2029; thereby, achieving a market value of $18,468.1 million by 2030. The Japan market is registering a CAGR of 31% during (2023 - 2030). Additionally, The India market would experience a CAGR of 32.6% during (2023 - 2030).

Based on Service, the market is segmented into Freight Matching Services, & Value-Added Services. Based on Transportation Mode, the market is segmented into Full Truckload (FTL), Less-than-truckload (LTL), Intermodal, and Others. Based on Platform, the market is segmented into Mobile-based (Android and iOS), & Web-based. Based on Industry, the market is segmented into Food & Beverages, Retail & E-Commerce, Automotive, Healthcare & Lifesciences, Oil & Gas, Manufacturing, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

The market research report covers the analysis of key stakeholders of the market. Key companies profiled in the report include Uber Freight Holding Corporation (Uber Technologies, Inc.), Redwood Logistics (AEA Investors LP), C.H. Robinson Worldwide, Inc., XPO, Inc., Convoy, Inc., Full Truck Alliance Co. Ltd. (JiangSu ManYun Software Technology Co., Ltd.), Freight Technologies, Inc., Freight Commerce Solutions Private Limited, Cargomatic, Inc., Roper Technologies, Inc.

Scope of the Study

Market Segments Covered in the Report:

By Service
  • Freight Matching Services
  • Value Added Services
By Transportation Mode
  • Full Truckload (FTL)
  • Less-than-truckload (LTL)
  • Intermodal
  • Others
By Platform
  • Mobile-based
  • Android
  • iOS
  • Web-based
By Industry
  • Food & Beverages
  • Retail & E-Commerce
  • Automotive
  • Healthcare & Lifesciences
  • Oil & Gas
  • Manufacturing
  • Others
By Country
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Key Market Players

List of Companies Profiled in the Report:


  • Uber Freight Holding Corporation (Uber Technologies, Inc.)
  • Redwood Logistics (AEA Investors LP)
  • C.H. Robinson Worldwide, Inc.
  • XPO, Inc.
  • Convoy, Inc.
  • Full Truck Alliance Co. Ltd. (JiangSu ManYun Software Technology Co., Ltd.)
  • Freight Technologies, Inc.
  • Freight Commerce Solutions Private Limited
  • Cargomatic, Inc.
  • Roper Technologies, Inc.

Unique Offerings

  • Exhaustive coverage
  • The highest number of Market tables and figures
  • Subscription-based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific Digital Freight Matching Market, by Service
1.4.2 Asia Pacific Digital Freight Matching Market, by Transportation Mode
1.4.3 Asia Pacific Digital Freight Matching Market, by Platform
1.4.4 Asia Pacific Digital Freight Matching Market, by Industry
1.4.5 Asia Pacific Digital Freight Matching Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scnerio
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.3 Porter Five Forces Analysis
Chapter 4. Strategies Deployed in Digital Freight Matching Market
Chapter 5. Asia Pacific Digital Freight Matching Market, By Service
5.1 Asia Pacific Freight Matching Services Market, By Country
5.2 Asia Pacific Value Added Services Market, By Country
Chapter 6. Asia Pacific Digital Freight Matching Market, By Transportation Mode
6.1 Asia Pacific Full Truckload (FTL) Market, By Country
6.2 Asia Pacific Less-than-truckload (LTL) Market, By Country
6.3 Asia Pacific Intermodal Market, By Country
6.4 Asia Pacific Other Transportation Mode Market, By Country
Chapter 7. Asia Pacific Digital Freight Matching Market, By Platform
7.1 Asia Pacific Mobile-based Market, By Country
7.2 Asia Pacific Digital Freight Matching Market, By Mobile-based Type
7.2.1 Asia Pacific Android Market, By Country
7.2.2 Asia Pacific iOS Market, By Country
7.3 Asia Pacific Web-based Market, By Country
Chapter 8. Asia Pacific Digital Freight Matching Market, By Industry
8.1 Asia Pacific Food & Beverages Market, By Country
8.2 Asia Pacific Retail & E-Commerce Market, By Country
8.3 Asia Pacific Automotive Market, By Country
8.4 Asia Pacific Healthcare & Lifesciences Market, By Country
8.5 Asia Pacific Oil & Gas Market, By Country
8.6 Asia Pacific Manufacturing Market, By Country
8.7 Asia Pacific Others Market, By Country
Chapter 9. Asia Pacific Digital Freight Matching Market, By Country
9.1 China Digital Freight Matching Market
9.1.1 China Digital Freight Matching Market, By Service
9.1.2 China Digital Freight Matching Market, By Transportation Mode
9.1.3 China Digital Freight Matching Market, By Platform
9.1.3.1 China Digital Freight Matching Market, By Mobile-based Type
9.1.4 China Digital Freight Matching Market, By Industry
9.2 Japan Digital Freight Matching Market
9.2.1 Japan Digital Freight Matching Market, By Service
9.2.2 Japan Digital Freight Matching Market, By Transportation Mode
9.2.3 Japan Digital Freight Matching Market, By Platform
9.2.3.1 Japan Digital Freight Matching Market, By Mobile-based Type
9.2.4 Japan Digital Freight Matching Market, By Industry
9.3 India Digital Freight Matching Market
9.3.1 India Digital Freight Matching Market, By Service
9.3.2 India Digital Freight Matching Market, By Transportation Mode
9.3.3 India Digital Freight Matching Market, By Platform
9.3.3.1 India Digital Freight Matching Market, By Mobile-based Type
9.3.4 India Digital Freight Matching Market, By Industry
9.4 South Korea Digital Freight Matching Market
9.4.1 South Korea Digital Freight Matching Market, By Service
9.4.2 South Korea Digital Freight Matching Market, By Transportation Mode
9.4.3 South Korea Digital Freight Matching Market, By Platform
9.4.3.1 South Korea Digital Freight Matching Market, By Mobile-based Type
9.5 South Korea Digital Freight Matching Market, By Industry
9.6 Singapore Digital Freight Matching Market
9.6.1 Singapore Digital Freight Matching Market, By Service
9.6.2 Singapore Digital Freight Matching Market, By Transportation Mode
9.6.3 Singapore Digital Freight Matching Market, By Platform
9.6.3.1 Singapore Digital Freight Matching Market, By Mobile-based Type
9.6.4 Singapore Digital Freight Matching Market, By Industry
9.7 Malaysia Digital Freight Matching Market
9.7.1 Malaysia Digital Freight Matching Market, By Service
9.7.2 Malaysia Digital Freight Matching Market, By Transportation Mode
9.7.3 Malaysia Digital Freight Matching Market, By Platform
9.7.3.1 Malaysia Digital Freight Matching Market, By Mobile-based Type
9.7.4 Malaysia Digital Freight Matching Market, By Industry
9.8 Rest of Asia Pacific Digital Freight Matching Market
9.8.1 Rest of Asia Pacific Digital Freight Matching Market, By Service
9.8.2 Rest of Asia Pacific Digital Freight Matching Market, By Transportation Mode
9.8.3 Rest of Asia Pacific Digital Freight Matching Market, By Platform
9.8.3.1 Rest of Asia Pacific Digital Freight Matching Market, By Mobile-based Type
9.8.4 Rest of Asia Pacific Digital Freight Matching Market, By Industry
Chapter 10. Company Profiles
10.1 Redwood Logistics (AEA Investors LP)
10.1.1 Company Overview
10.1.2 Recent strategies and developments:
10.1.2.1 Partnerships, Collaborations, and Agreements:
10.1.2.2 Acquisition and Mergers:
10.1.3 SWOT Analysis
10.2 Convoy, Inc.
10.2.1 Company Overview
10.2.2 Recent strategies and developments:
10.2.2.1 Partnerships, Collaborations, and Agreements:
10.2.2.2 Product Launches and Product Expansions:
10.2.3 SWOT Analysis
10.3 Full Truck Alliance Co. Ltd.
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Research & Development Expenses
10.4 Freight Technologies, Inc.
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Regional Analysis
10.4.4 SWOT Analysis
10.5 Freight Commerce Solutions Private Limited
10.5.1 Company Overview
10.6 Cargomatic, Inc.
10.6.1 Company Overview
10.6.2 SWOT Analysis
10.7 Roper Technologies, Inc. (Clayton, Dubilier & Rice, LLC)
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental and Regional Analysis
10.8 Uber Freight Holding Corporation (Uber Technologies, Inc.)
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Segmental and Regional Analysis
10.8.4 Research & Development Expense
10.8.5 Recent strategies and developments:
10.8.5.1 Partnerships, Collaborations, and Agreements:
10.8.5.2 Acquisition and Mergers:
10.8.6 SWOT Analysis
10.9 C.H. Robinson Worldwide, Inc.
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Regional & Segmental Analysis
10.9.4 Recent strategies and developments:
10.9.4.1 Product Launches and Product Expansions:
10.9.5 SWOT Analysis
10.10. XPO, Inc.
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Segmental and Regional Analysis
10.10.4 Recent strategies and developments:
10.10.4.1 Product Launches and Product Expansions:
10.10.5 SWOT Analysis

Companies Mentioned

  • Uber Freight Holding Corporation (Uber Technologies, Inc.)
  • Redwood Logistics (AEA Investors LP)
  • C.H. Robinson Worldwide, Inc.
  • XPO, Inc.
  • Convoy, Inc.
  • Full Truck Alliance Co. Ltd. (JiangSu ManYun Software Technology Co., Ltd.)
  • Freight Technologies, Inc.
  • Freight Commerce Solutions Private Limited
  • Cargomatic, Inc.
  • Roper Technologies, Inc.

Methodology

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