Product Code: 132
The global third-party logistics (3PL) market is anticipated to showcase a robust growth through 2032 owing to the rising number of outsourcing activities by the manufacturing sectors to work on their key competencies.
Leading companies are vying for uniqueness in the highly competitive global 3PL market by offering a range of services and software solutions to various industry verticals. The adoption of numerous strategies, such as partnerships and mergers and acquisitions, which aid in extending their transportation capabilities and catering to new regions, is expected to make the market extremely competitive.
The increased focus on the development of fully automated warehouses as well as distribution systems has also proven to be profitable for 3PL market expansion.
The third-party logistics market has been segmented in terms of solution, mode, application, and region.
Based on the solution, the international transportation management (ITM) segment is poised to garner a steady growth rate over 2023-2032. (review timeline ) The rising need for a secure logistics platform that aids in the planning, execution, and optimization of physical commodities movement as a result of expanding international exposure of organizations would support the segmental growth.
Meanwhile, the logistics software segment is slated to expand at a considerable rate through the forecast period attributed to the growing requirement for cost and time savings throughout the whole logistics process.
With respect to application, the healthcare segment is speculated to garner a positive growth rate through 2032 credited to the growing need for temperature-controlled, contactless, as well as urgent transportation of medical supplies like ventilators and vaccines, among other things.
On the other hand, the automotive segment is projected to expand exponentially through the forthcoming years owing to the rising adoption of 3PL service providers to assure quick, effective, and secure delivery of vehicles from the production facility to showrooms.
From the regional perspective, South America 3PL market is estimated to reach a market valuation of over $100 billion by 2032 fueled by the increased government financing in the manufacturing industry to encourage the advancement of digital manufacturing techniques and alter the manufacturing supply chain.
On the contrary, the Middle East & Africa third-party market captured a business share of over 5% in 2022 and is expected to achieve a higher growth rate over the forecast timeline. The growth is expected to be driven by the expanding public-private partnership model for the development of logistical infrastructure.
In addition, the thriving logistic industry in the region will result in an increase in the number of warehouses, fueling the market expansion.
Table of Contents
Chapter 1 Methodology & Scope
- 1.1 Scope & definitions
- 1.2 Methodology and forecast parameters
- 1.3 COVID-19 impact
- 1.3.1 North America
- 1.3.2 Europe
- 1.3.3 Asia Pacific
- 1.3.4 Latin America
- 1.3.5 Middle East & Africa
- 1.4 Data Sources
- 1.4.1 Secondary
- 1.4.2 Primary
Chapter 2 Executive Summary
- 2.1 3PL industry 360o synopsis, 2018 - 2032
- 2.1.1 Business trends
- 2.1.1.1 Total Adressable Market (TAM)
- 2.1.2 Region trends
- 2.1.3 Solution trends
- 2.1.4 Mode trends
- 2.1.5 Application trends
Chapter 3 Third Party Logistics (3PL) Industry Insights
- 3.1 Introduction
- 3.2 Impact of the COVID-19 outbreak
- 3.2.1 Global outlook
- 3.2.2 Regional outlook
- 3.2.2.1 North America
- 3.2.2.2 Europe
- 3.2.2.3 Asia Pacific
- 3.2.2.4 South America
- 3.2.2.5 MEA
- 3.2.3 Industry value chain
- 3.2.3.1 R&D
- 3.2.3.2 Software providers
- 3.2.3.3 Supply chain
- 3.2.4 Competitive landscape
- 3.2.4.1 Strategy
- 3.2.4.2 Distribution network
- 3.2.4.3 Business growth
- 3.3 Impact of the Ukraine-Russia war
- 3.4 Industry ecosystem analysis
- 3.4.1 Inbound logistics
- 3.4.2 Outbound logistics
- 3.4.3 Client to supplier return process
- 3.4.4 Customer to client return process
- 3.4.5 Value-added Warehousing & Distribution (VAWD)
- 3.4.5.1 Order fulfillment
- 3.4.5.2 Reverse logistics
- 3.4.6 Vendor matrix
- 3.5 Technology and innovation landscape
- 3.5.1 Cloud hosting
- 3.5.2 Augmented Reality (AR) & Virtual Reality (VR)
- 3.5.3 Artificial Intelligence (AI)
- 3.6 Regulatory landscape
- 3.6.1 International Standards & Policies
- 3.6.1.1 ISO/DIS 23354
- 3.6.1.2 OSHA 29 CFR 1926.21
- 3.6.1.3 ISO 28000:2022
- 3.6.1.4 ISO 14001
- 3.6.2 North America
- 3.6.2.1 California Consumer Privacy Act 2018
- 3.6.2.2 Environmental Protection Agency (EPA)
- 3.6.2.3 U.S. law for third-party logistics license
- 3.6.3 Europe
- 3.6.3.1 DIN EN 16258
- 3.6.3.2 OHSAS 18001
- 3.6.3.3 AFAQ ISO 55001
- 3.6.3.4 Directive 89/686/EEC (Personal Protective Equipment)
- 3.6.4 Asia Pacific
- 3.6.4.1 IS 3595: 1991
- 3.6.4.2 Personal Information Protection Law
- 3.6.4.3 China National Standard for Express Delivery Service by Unmanned Aircraft
- 3.6.5 South America
- 3.6.5.1 International Council on Clean Transportation (ICCT)
- 3.6.5.2 Brazilian Regulatory Standards (NR)
- 3.6.6 MEA
- 3.6.6.1 SASO CoC
- 3.6.6.2 UAE (ISO 45001)
- 3.7 Industry Impact Forces
- 3.7.1 Growth drivers
- 3.7.1.1 Growing application of reverse logistics in the retail industry
- 3.7.1.2 Technological advancements in logistics and SCM in U.S.
- 3.7.1.3 Rising demand from the manufacturing industry to manage inventory and supply chain in Europe
- 3.7.1.4 Government initiatives encouraging the Asia Pacific market growth
- 3.7.1.5 Emerging e-commerce industry in South America and MEA
- 3.7.2 Industry pitfalls & challenges
- 3.7.2.1 Lack of logistics control
- 3.7.2.2 Risks associated with cross border transportation
- 3.8 Key initiatives & news
- 3.8.1 Partnerships
- 3.8.2 Product launches
- 3.8.3 Government initiatives
- 3.8.4 Mergers & Acquisitions
- 3.8.5 Business Expansion
- 3.9 Growth potential analysis
- 3.10 Consumer Analysis
- 3.10.1 E-commerce and retail
- 3.10.2 Manufacturing
- 3.10.3 Food & beverage
- 3.10.4 Oil and Gas
- 3.11 Porter's analysis
- 3.11.1 Supplier power
- 3.11.2 Buyer power
- 3.11.3 Threat of new entrants
- 3.11.4 Threat of substitutes
- 3.11.5 Internal rivalry
- 3.12 PESTEL Analysis
- 3.12.1 Political
- 3.12.2 Economical
- 3.12.3 Social
- 3.12.4 Technological
- 3.12.5 Environmental
- 3.12.6 Legal
Chapter 4 Competitive Landscape, 2022
- 4.1 Introduction
- 4.2 Company market share
- 4.3 Competitive analysis of major market players
- 4.3.1 C.H. Robinson
- 4.3.2 DHL
- 4.3.3 Kuehne + Nagel International AG
- 4.3.4 DSV A/S
- 4.3.5 DB Shenker
- 4.4 Competitive analysis of innovative market players
- 4.4.1 SinoTrans
- 4.4.2 Nippon Express
- 4.4.3 UPS Supply Chain Solutions
- 4.5 Vendor adoption matrix
- 4.6 Strategic outlook matrix
Chapter 5 Third-Party Logistics (3PL) Market, By Solution
- 5.1 Third-Party Logistics (3PL) market share, by solution, 2022 & 2032
- 5.2 Dedicated Contract Carriage (DCC)
- 5.2.1 Market estimates & forecast, 2018-2032
- 5.3 Dedicated Transportation management (DTM)
- 5.3.1 Market estimates & forecast, 2018-2032
- 5.4 International Transportation Management (ITM)
- 5.4.1 Market estimates & forecast, 2018-2032
- 5.5 Warehousing & distribution
- 5.5.1 Market estimates & forecast, 2018-2032
- 5.6 Logistics Software
- 5.6.1 Market estimates & forecast, 2018-2032
Chapter 6 Third-Party Logistics (3PL) Market, By Mode
- 6.1 Third-Party Logistics (3PL) market share, by mode, 2022 & 2032
- 6.2 Air
- 6.2.1 Market estimates & forecast, 2018-2032
- 6.3 Sea
- 6.3.1 Market estimates & forecast, 2018-2032
- 6.4 Rail & Road
- 6.4.1 Market estimates & forecast, 2018-2032
Chapter 7 Third-Party Logistics (3PL) Market, By Application
- 7.1 Third-Party Logistics (3PL) market share, by application, 2022 & 2032
- 7.2 Food & beverages
- 7.2.1 Market estimates & forecast, 2018-2032
- 7.3 Healthcare
- 7.3.1 Market estimates & forecast, 2018-2032
- 7.4 Retail
- 7.4.1 Market estimates & forecast, 2018-2032
- 7.5 Automotive
- 7.5.1 Market estimates & forecast, 2018-2032
- 7.6 Manufacturing
- 7.6.1 Market estimates & forecast, 2018-2032
- 7.7 Others
- 7.7.1 Market estimates & forecast, 2018-2032
Chapter 8 Third-Party Logistics (3PL) Market, By Region
- 8.1 Third-Party Logistics (3PL) market share, by region, 2022 & 2032
- 8.2 North America
- 8.2.1 Market estimates & forecast, 2018-2032
- 8.2.2 Market estimates & forecast, by solution, 2018-2032
- 8.2.3 Market estimates & forecast, by mode, 2018-2032
- 8.2.4 Market estimates & forecast, by application, 2018-2032
- 8.2.5 U.S.
- 8.2.5.1 Market estimates & forecast, 2018-2032
- 8.2.5.2 Market estimates & forecast, by solution, 2018-2032
- 8.2.5.3 Market estimates & forecast, by mode, 2018-2032
- 8.2.5.4 Market estimates & forecast, by application, 2018-2032
- 8.2.6 Canada
- 8.2.6.1 Market estimates & forecast, 2018-2032
- 8.2.6.2 Market estimates & forecast, by solution, 2018-2032
- 8.2.6.3 Market estimates & forecast, by mode, 2018-2032
- 8.2.6.4 Market estimates & forecast, by application, 2018-2032
- 8.2.7 Mexico
- 8.2.7.1 Market estimates & forecast, 2018-2032
- 8.2.7.2 Market estimates & forecast, by solution, 2018-2032
- 8.2.7.3 Market estimates & forecast, by mode, 2018-2032
- 8.2.7.4 Market estimates & forecast, by application, 2018-2032
- 8.3 Europe
- 8.3.1 Market estimates & forecast, 2018-2032
- 8.3.2 Market estimates & forecast, by solution, 2018-2032
- 8.3.3 Market estimates & forecast, by mode, 2018-2032
- 8.3.4 Market estimates & forecast, by application, 2018-2032
- 8.3.5 UK
- 8.3.5.1 Market estimates & forecast, 2018-2032
- 8.3.5.2 Market estimates & forecast, by solution, 2018-2032
- 8.3.5.3 Market estimates & forecast, by mode, 2018-2032
- 8.3.5.4 Market estimates & forecast, by application, 2018-2032
- 8.3.6 Germany
- 8.3.6.1 Market estimates & forecast, 2018-2032
- 8.3.6.2 Market estimates & forecast, by solution, 2018-2032
- 8.3.6.3 Market estimates & forecast, by mode, 2018-2032
- 8.3.6.4 Market estimates & forecast, by application, 2018-2032
- 8.3.7 France
- 8.3.7.1 Market estimates & forecast, 2018-2032
- 8.3.7.2 Market estimates & forecast, by solution, 2018-2032
- 8.3.7.3 Market estimates & forecast, by mode, 2018-2032
- 8.3.7.4 Market estimates & forecast, by application, 2018-2032
- 8.3.8 Italy
- 8.3.8.1 Market estimates & forecast, 2018-2032
- 8.3.8.2 Market estimates & forecast, by solution, 2018-2032
- 8.3.8.3 Market estimates & forecast, by mode, 2018-2032
- 8.3.8.4 Market estimates & forecast, by application, 2018-2032
- 8.3.9 Spain
- 8.3.9.1 Market estimates & forecast, 2018-2032
- 8.3.9.2 Market estimates & forecast, by solution, 2018-2032
- 8.3.9.3 Market estimates & forecast, by mode, 2018-2032
- 8.3.9.4 Market estimates & forecast, by application, 2018-2032
- 8.3.10 Netherlands
- 8.3.10.1 Market estimates & forecast, 2018-2032
- 8.3.10.2 Market estimates & forecast, by solution, 2018-2032
- 8.3.10.3 Market estimates & forecast, by mode, 2018-2032
- 8.3.10.4 Market estimates & forecast, by application, 2018-2032
- 8.3.11 Switzerland
- 8.3.11.1 Market estimates & forecast, 2018-2032
- 8.3.11.2 Market estimates & forecast, by solution, 2018-2032
- 8.3.11.3 Market estimates & forecast, by mode, 2018-2032
- 8.3.11.4 Market estimates & forecast, by application, 2018-2032
- 8.3.12 Sweden
- 8.3.12.1 Market estimates & forecast, 2018-2032
- 8.3.12.2 Market estimates & forecast, by solution, 2018-2032
- 8.3.12.3 Market estimates & forecast, by mode, 2018-2032
- 8.3.12.4 Market estimates & forecast, by application, 2018-2032
- 8.3.13 Russia
- 8.3.13.1 Market estimates & forecast, 2018-2032
- 8.3.13.2 Market estimates & forecast, by solution, 2018-2032
- 8.3.13.3 Market estimates & forecast, by mode, 2018-2032
- 8.3.13.4 Market estimates & forecast, by application, 2018-2032
- 8.4 Asia Pacific
- 8.4.1 Market estimates & forecast, 2018-2032
- 8.4.2 Market estimates & forecast, by solution, 2018-2032
- 8.4.3 Market estimates & forecast, by mode, 2018-2032
- 8.4.4 Market estimates & forecast, by application, 2018-2032
- 8.4.5 China
- 8.4.5.1 Market estimates & forecast, 2018-2032
- 8.4.5.2 Market estimates & forecast, by solution, 2018-2032
- 8.4.5.3 Market estimates & forecast, by mode, 2018-2032
- 8.4.5.4 Market estimates & forecast, by application, 2018-2032
- 8.4.6 India
- 8.4.6.1 Market estimates & forecast, 2018-2032
- 8.4.6.2 Market estimates & forecast, by solution, 2018-2032
- 8.4.6.3 Market estimates & forecast, by mode, 2018-2032
- 8.4.6.4 Market estimates & forecast, by application, 2018-2032
- 8.4.7 Japan
- 8.4.7.1 Market estimates & forecast, 2018-2032
- 8.4.7.2 Market estimates & forecast, by solution, 2018-2032
- 8.4.7.3 Market estimates & forecast, by mode, 2018-2032
- 8.4.7.4 Market estimates & forecast, by application, 2018-2032
- 8.4.8 South Korea
- 8.4.8.1 Market estimates & forecast, 2018-2032
- 8.4.8.2 Market estimates & forecast, by solution, 2018-2032
- 8.4.8.3 Market estimates & forecast, by mode, 2018-2032
- 8.4.8.4 Market estimates & forecast, by application, 2018-2032
- 8.4.9 Indonesia
- 8.4.9.1 Market estimates & forecast, 2018-2032
- 8.4.9.2 Market estimates & forecast, by solution, 2018-2032
- 8.4.9.3 Market estimates & forecast, by mode, 2018-2032
- 8.4.9.4 Market estimates & forecast, by application, 2018-2032
- 8.4.10 Australia
- 8.4.10.1 Market estimates & forecast, 2018-2032
- 8.4.10.2 Market estimates & forecast, by solution, 2018-2032
- 8.4.10.3 Market estimates & forecast, by mode, 2018-2032
- 8.4.10.4 Market estimates & forecast, by application, 2018-2032
- 8.5 South America
- 8.5.1 Market estimates & forecast, 2018-2032
- 8.5.2 Market estimates & forecast, by solution, 2018-2032
- 8.5.3 Market estimates & forecast, by mode, 2018-2032
- 8.5.4 Market estimates & forecast, by application, 2018-2032
- 8.5.5 Brazil
- 8.5.5.1 Market estimates & forecast, 2018-2032
- 8.5.5.2 Market estimates & forecast, by solution, 2018-2032
- 8.5.5.3 Market estimates & forecast, by mode, 2018-2032
- 8.5.5.4 Market estimates & forecast, by application, 2018-2032
- 8.5.6 Argentina
- 8.5.6.1 Market estimates & forecast, 2018-2032
- 8.5.6.2 Market estimates & forecast, by solution, 2018-2032
- 8.5.6.3 Market estimates & forecast, by mode, 2018-2032
- 8.5.6.4 Market estimates & forecast, by application, 2018-2032
- 8.5.7 Chile
- 8.5.7.1 Market estimates & forecast, 2018-2032
- 8.5.7.2 Market estimates & forecast, by solution, 2018-2032
- 8.5.7.3 Market estimates & forecast, by mode, 2018-2032
- 8.5.7.4 Market estimates & forecast, by application, 2018-2032
- 8.5.8 Colombia
- 8.5.8.1 Market estimates & forecast, 2018-2032
- 8.5.8.2 Market estimates & forecast, by solution, 2018-2032
- 8.5.8.3 Market estimates & forecast, by mode, 2018-2032
- 8.5.8.4 Market estimates & forecast, by application, 2018-2032
- 8.6 MEA
- 8.6.1 Market estimates & forecast, 2018-2032
- 8.6.2 Market estimates & forecast, by solution, 2018-2032
- 8.6.3 Market estimates & forecast, by mode, 2018-2032
- 8.6.4 Market estimates & forecast, by application, 2018-2032
- 8.6.5 Saudi Arabia
- 8.6.5.1 Market estimates & forecast, 2018-2032
- 8.6.5.2 Market estimates & forecast, by solution, 2018-2032
- 8.6.5.3 Market estimates & forecast, by mode, 2018-2032
- 8.6.5.4 Market estimates & forecast, by application, 2018-2032
- 8.6.6 Turkey
- 8.6.6.1 Market estimates & forecast, 2018-2032
- 8.6.6.2 Market estimates & forecast, by solution, 2018-2032
- 8.6.6.3 Market estimates & forecast, by mode, 2018-2032
- 8.6.6.4 Market estimates & forecast, by application, 2018-2032
- 8.6.7 UAE
- 8.6.7.1 Market estimates & forecast, 2018-2032
- 8.6.7.2 Market estimates & forecast, by solution, 2018-2032
- 8.6.7.3 Market estimates & forecast, by mode, 2018-2032
- 8.6.7.4 Market estimates & forecast, by application, 2018-2032
- 8.6.8 South Africa
- 8.6.8.1 Market estimates & forecast, 2018-2032
- 8.6.8.2 Market estimates & forecast, by solution, 2018-2032
- 8.6.8.3 Market estimates & forecast, by mode, 2018-2032
- 8.6.8.4 Market estimates & forecast, by application, 2018-2032
Chapter 9 Company Profiles
- 9.1 AmeriCold Logistics LLC
- 9.1.1 Business overview
- 9.1.2 Financial data
- 9.1.3 Product landscape
- 9.1.4 Market strategy
- 9.1.5 SWOT analysis
- 9.2 BDP International
- 9.2.1 Business overview
- 9.2.2 Financial data
- 9.2.3 Product landscape
- 9.2.4 Market strategy
- 9.2.5 SWOT analysis
- 9.3 Burris Logistics
- 9.3.1 Business overview
- 9.3.2 Financial data
- 9.3.3 Product landscape
- 9.3.4 Market strategy
- 9.3.5 SWOT analysis
- 9.4 C.H. Robinson
- 9.4.1 Business overview
- 9.4.2 Financial data
- 9.4.3 Product landscape
- 9.4.4 Market strategy
- 9.4.5 SWOT analysis
- 9.5 DB Schenker Logistics
- 9.5.1 Business overview
- 9.5.2 Financial data
- 9.5.3 Product landscape
- 9.5.4 Market strategy
- 9.5.5 SWOT analysis
- 9.6 DHL Supply Chain
- 9.6.1 Business overview
- 9.6.2 Financial data
- 9.6.3 Product landscape
- 9.6.4 Market strategy
- 9.6.5 SWOT analysis
- 9.7 DSV A/S (UTi Worldwide, Inc.)
- 9.7.1 Business overview
- 9.7.2 Financial data
- 9.7.3 Product landscape
- 9.7.4 Market strategy
- 9.7.5 SWOT analysis
- 9.8 Echo Global Logistics
- 9.8.1 Business overview
- 9.8.2 Financial data
- 9.8.3 Product landscape
- 9.8.4 Market strategy
- 9.8.5 SWOT analysis
- 9.9 Expeditors International
- 9.9.1 Business overview
- 9.9.2 Financial data
- 9.9.3 Product landscape
- 9.9.4 Market strategy
- 9.9.5 SWOT analysis
- 9.10 FedEx
- 9.10.1 Business overview
- 9.10.2 Financial data
- 9.10.3 Product landscape
- 9.10.4 Market strategy
- 9.10.5 SWOT analysis
- 9.11 GEODIS
- 9.11.1 Business overview
- 9.11.2 Financial data
- 9.11.3 Product landscape
- 9.11.4 Market strategy
- 9.11.5 SWOT analysis
- 9.12 HUB Group
- 9.12.1 Business overview
- 9.12.2 Financial data
- 9.12.3 Product landscape
- 9.12.4 Strategic outlook
- 9.12.5 SWOT analysis
- 9.13 J.B. Hunt
- 9.13.1 Business overview
- 9.13.2 Financial data
- 9.13.3 Product landscape
- 9.13.4 Market strategy
- 9.13.5 SWOT analysis
- 9.14 Kuehne + Nagel International AG
- 9.14.1 Business overview
- 9.14.2 Financial data
- 9.14.3 Product landscape
- 9.14.4 Strategic outlook
- 9.14.5 SWOT analysis
- 9.15 Landstar System, Inc
- 9.15.1 Business overview
- 9.15.2 Financial data
- 9.15.3 Product landscape
- 9.15.4 Strategic outlook
- 9.15.5 SWOT analysis
- 9.16 Nippon Express Co., Ltd
- 9.16.1 Business overview
- 9.16.2 Financial data
- 9.16.3 Product landscape
- 9.16.4 Strategic outlook
- 9.16.5 SWOT analysis
- 9.17 Penske Logistics, Inc.
- 9.17.1 Business overview
- 9.17.2 Financial data
- 9.17.3 Product landscape
- 9.17.4 Strategic outlook
- 9.17.5 SWOT analysis
- 9.18 Ryder Supply Chain Solutions (Ryder System, Inc)
- 9.18.1 Business overview
- 9.18.2 Financial data
- 9.18.3 Product landscape
- 9.18.4 Strategic outlook
- 9.18.5 SWOT analysis
- 9.19 Schneider National, Inc
- 9.19.1 Business overview
- 9.19.2 Financial data
- 9.19.3 Product landscape
- 9.19.4 Strategic outlook
- 9.19.5 SWOT analysis
- 9.20 SinoTrans (HK) Logistics Limited
- 9.20.1 Business overview
- 9.20.2 Financial data
- 9.20.3 Product landscape
- 9.20.4 Strategic outlook
- 9.20.5 SWOT analysis
- 9.21 Total Quality Logistics, Inc.
- 9.21.1 Business overview
- 9.21.2 Financial data
- 9.21.3 Product landscape
- 9.21.4 Strategic outlook
- 9.21.5 SWOT analysis
- 9.22 Transplace Texas LP (Now known as Uber Freight)
- 9.22.1 Business overview
- 9.22.2 Financial Data
- 9.22.3 Product landscape
- 9.22.4 Strategic outlook
- 9.22.5 SWOT analysis
- 9.23 UPS Supply Chain Solutions
- 9.23.1 Business overview
- 9.23.2 Financial data
- 9.23.3 Product landscape
- 9.23.4 Strategic outlook
- 9.23.5 SWOT analysis
- 9.24 XPO Logistics, Inc.
- 9.24.1 Business overview
- 9.24.2 Financial data
- 9.24.3 Product landscape
- 9.24.4 Strategic outlook
- 9.24.5 SWOT analysis