시장보고서
상품코드
1149668

세계의 제3자 물류(3PL) 시장 규모 : 솔루션별, 모드별, 용도별, 업계 분석, 지역 전망, 성장 가능성, 경쟁 시장 점유율, 예측(2023-2032년)

Third-Party Logistics Market Size By Solution, By Mode, By Application, Industry Analysis Report, Regional Outlook, Growth Potential, Competitive Market Share & Forecast, 2023 - 2032

발행일: | 리서치사: Global Market Insights Inc. | 페이지 정보: 영문 327 Pages | 배송안내 : 2-3일 (영업일 기준)

※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문목차를 참고해주시기 바랍니다.

세계의 제3자 물류(3PL) 시장은 제조 부문에 의한 자사의 주요 업무에 대처하기 위한 아웃소싱 활동 증가에 의해 2032년까지 견실한 성장을 나타낼 것으로 예측됩니다.

세계의 제3자 물류(3PL) 시장에 대해 조사 분석했으며, 업계 인사이트, 부문 분석, 지역 분석, 기업 개요 등을 제공하고 있습니다.

목차

제1장 조사 방법과 범위

제2장 주요 요약

제3장 제3자 물류(3PL) 업계 인사이트

  • 서론
  • COVID-19 발생의 영향
    • 세계 전망
    • 지역 전망
    • 업계의 밸류체인
    • 경쟁 상황
  • 우크라이나·러시아 전쟁의 영향
  • 업계 생태계 분석
    • 인바운드 물류
    • 아웃바운드 물류
    • 클라이언트로부터 공급업체로의 반품 프로세스
    • 소비자로부터 클라이언트로의 반품 프로세스
    • 부가 가치 창고 보관·유통(VAWD)
    • 벤더 매트릭스
  • 기술과 혁신 상황
    • 클라우드 호스팅
    • 증강현실(AR)과 가상현실(VR)
    • 인공지능(AI)
  • 규제 상황
    • 국제 표준·정책
    • 북미
    • 유럽
    • 아시아태평양
    • 남미
    • 중동 및 아프리카
  • 업계의 영향요인
    • 성장 촉진요인
    • 업계의 잠재적 위험·과제
  • 주요 이니셔티브와 뉴스
    • 파트너십
    • 제품 발매
    • 정부 대처
    • 인수합병
    • 사업 확대
  • 성장 가능성 분석
  • 소비자 분석
    • E-Commerce·소매
    • 제조
    • 식품·음료
    • 석유·가스
  • Porter's Five Forces 분석
  • PESTEL 분석

제4장 경쟁 상황(2022년)

  • 서론
  • 기업 시장 점유율
  • 주요 시장 기업의 경쟁 분석
    • C.H. Robinson
    • DHL
    • Kuehne + Nagel International AG
    • DSV A/S
    • DB Shenker
  • 혁신적인 시장 기업의 경쟁 분석
    • SinoTrans
    • Nippon Express
    • UPS Supply Chain Solutions
  • 벤더 채용 매트릭스
  • 전략적 전망 매트릭스

제5장 제3자 물류(3PL) 시장 : 솔루션별

  • 제3자 물류(3PL) 시장 점유율 : 솔루션별(2022년·2032년)
  • 전용 계약 운송(DCC)
  • 전용 수송 관리(DTM)
  • 국제 수송 관리(ITM)
  • 창고 보관·유통
  • 물류 소프트웨어

제6장 제3자 물류(3PL) 시장 : 모드별

  • 제3자 물류(3PL) 시장 점유율 : 모드별(2022년·2032년)
  • 공로
  • 해로
  • 철도·도로

제7장 제3자 물류(3PL) 시장 : 용도별

  • 제3자 물류(3PL) 시장 점유율 : 용도별(2022년·2032년)
  • 식품·음료
  • 헬스케어
  • 소매
  • 자동차
  • 제조
  • 기타

제8장 제3자 물류(3PL) 시장 : 지역별

  • 제3자 물류(3PL) 시장 점유율 : 지역별(2022년·2032년)
  • 북미
    • 시장 추정과 예측(2018-2032년)
    • 시장 추정과 예측 : 솔루션별(2018-2032년)
    • 시장 추정과 예측 : 모드별(2018-2032년)
    • 시장 추정과 예측 : 용도별(2018-2032년)
    • 미국
    • 캐나다
    • 멕시코
  • 유럽
    • 시장 추정과 예측(2018-2032년)
    • 시장 추정과 예측 : 솔루션별(2018-2032년)
    • 시장 추정과 예측 : 모드별(2018-2032년)
    • 시장 추정과 예측 : 용도별(2018-2032년)
    • 영국
    • 독일
    • 프랑스
    • 이탈리아
    • 스페인
    • 네덜란드
    • 스위스
    • 스웨덴
    • 러시아
  • 아시아태평양
    • 시장 추정과 예측(2018-2032년)
    • 시장 추정과 예측 : 솔루션별(2018-2032년)
    • 시장 추정과 예측 : 모드별(2018-2032년)
    • 시장 추정과 예측 : 용도별(2018-2032년)
    • 중국
    • 인도
    • 일본
    • 한국
    • 인도네시아
    • 호주
  • 남미
    • 시장 추정과 예측(2018-2032년)
    • 시장 추정과 예측 : 솔루션별(2018-2032년)
    • 시장 추정과 예측 : 모드별(2018-2032년)
    • 시장 추정과 예측 : 용도별(2018-2032년)
    • 브라질
    • 아르헨티나
    • 칠레
    • 콜롬비아
  • 중동 및 아프리카
    • 시장 추정과 예측(2018-2032년)
    • 시장 추정과 예측 : 솔루션별(2018-2032년)
    • 시장 추정과 예측 : 모드별(2018-2032년)
    • 시장 추정과 예측 : 용도별(2018-2032년)
    • 사우디아라비아
    • 터키
    • 아랍에미리트
    • 남아프리카공화국

제9장 기업 개요

  • AmeriCold Logistics LLC
  • BDP International
  • Burris Logistics
  • C.H. Robinson
  • DB Schenker Logistics
  • DHL Supply Chain
  • DSV A/S(UTi Worldwide, Inc.)
  • Echo Global Logistics
  • Expeditors International
  • FedEx
  • GEODIS
  • HUB Group
  • J.B. Hunt
  • Kuehne + Nagel International AG
  • Landstar System, Inc
  • Nippon Express Co., Ltd
  • Penske Logistics, Inc.
  • Ryder Supply Chain Solutions(Ryder System, Inc)
  • Schneider National, Inc
  • SinoTrans(HK) Logistics Limited
  • Total Quality Logistics, Inc.
  • Transplace Texas LP(Now known as Uber Freight)
  • UPS Supply Chain Solutions
  • XPO Logistics, Inc.
KSM 22.11.24

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
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