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市場調查報告書
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1978698

互聯物流市場：依物流類型、運輸方式、服務類型及最終用途分類－2026-2032年全球預測

Connected Logistics Market by Logistics Type, Mode Of Transport, Service Type, End Use - Global Forecast 2026-2032
出版日期: | 出版商: 360iResearch | 英文 194 Pages | 商品交期: 最快1-2個工作天內

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預計到 2025 年，互聯物流市場價值將達到 433.2 億美元，到 2026 年將成長至 478.8 億美元，到 2032 年將達到 939.2 億美元，複合年成長率為 11.68%。

主要市場統計數據
基準年 2025 433.2億美元
預計年份：2026年 478.8億美元
預測年份 2032 939.2億美元
複合年成長率 (%) 11.68%

這份具有前瞻性的策略指南解釋了為什麼端到端的連接性、可視性和協調性對於現代物流的韌性和競爭優勢至關重要。

供應鏈正在經歷結構性變革時期，互聯互通、即時可視性和系統韌性已不再是可選項，而是不可或缺的能力。雲端平台、邊緣運算、物聯網感測器和進階分析技術的融合，正在將以往各自獨立的功能轉變為可互通、數據豐富的生態系統。因此，物流領導者迫切需要重新思考資產利用率、網路設計和合作夥伴協作，優先考慮敏捷決策和可衡量的結果。

感測器驅動智慧、倉庫自動化、多模態協作和永續性舉措如何共同作用，重新定義物流營運和策略。

物流業正經歷多重變革的重塑，這些變革相互作用，加速了產業發展。首先，感測器驅動數據和邊緣運算的普及，催生了全新的營運智慧層面，使企業能夠從被動應對危機轉向主動預測協調。這種能力轉型將縮短週期時間，提高吞吐量，同時實現與特定資產類型和路線相關的更精細的績效衡量。

本檢驗了關稅制度變化的營運和策略影響，以及政策主導的貿易趨勢如何促進高度適應性物流網路的設計。

跨境貿易政策環境持續對物流網路設計和營運重點產生重大影響。關稅表和貿易政策的變化引入了新的成本因素、路線選擇和庫存策略，迫使物流規劃負責人做出調整。為此，供應鏈管理者正在重新評估採購地點，重新考慮近岸外包機會，並重組分銷網路，以維持服務水準和利潤結構。

詳細的細分分析揭示了物流類型、運輸方式、服務專業化和最終用戶概況如何區分營運和技術重點。

細分市場分析揭示了不同物流類型、運輸方式、服務和最終用途所帶來的營運重點和投資路徑的差異。按物流類型分類，該行業可分為運輸和倉儲管理。在倉儲管理領域，業者區分專用倉庫和公共倉庫，公共倉庫可細分為自動化倉庫和傳統倉庫。這些差異會影響資本密集度、技術實施進度以及供應商採用的商業模式。

美洲、歐洲、中東和非洲以及亞太地區的區域特徵和基礎設施對物流戰略、投資和合作夥伴選擇的影響。

區域趨勢對整個物流生態系統的策略、投資重點和夥伴關係選擇都產生重大影響。在美洲，數位化應用正在穩步推進，但地理環境極為複雜，因此多模態協調和樞紐輻射式在地化模式尤其重要。在該地區營運的企業往往優先考慮應對長途運輸中斷的能力，並要求實現強大的跨境海關一體化。

主要供應商的發展趨勢：平台整合、策略聯盟和服務專業化為何決定競爭優勢和客戶偏好

物流企業的競爭趨勢日益凸顯，平台能力、策略聯盟和服務多角化成為決定性因素。主要企業正將數位雙胞胎、遠端資訊處理和高階分析技術整合到其服務組合中，並提供基於績效的合約和績效保證。同時，連接承運商、技術供應商和物流服務公司的策略聯盟和生態系統策略正在加速交付超越傳統運輸和倉儲的端到端解決方案。

為物流領導者提供的實用策略藍圖，優先考慮可視性、有針對性的自動化試點、最佳化的運輸方式以及擴大轉型計畫的管治。

產業領導者應採取務實且分階段的方式來實現物流能力現代化。首先推行影響大、阻力小的舉措，然後逐步擴展到系統層面的轉型。在初期階段，應優先考慮可視性和資料品質。統一遙測標準、將事件流整合到單一控制平面以及確保主資料的完整性，將使下游分析能夠產生可靠的決策訊號。建立單一的營運資料來源將減少緊急應變，並實現集中化的流程改善。

透過透明的實證研究，結合高階主管的訪談、案例研究和交叉檢驗的二手分析，確保了實際相關性。

支持這些洞見的研究結合了結構化的定性訪談、營運案例研究以及對行業應用案例的系統性回顧，從而構建了基於證據的觀點。關鍵資訊來源包括與供應鏈高管、營運經理和技術提供者的對話，以了解現實世界的決策流程和實施權衡。這些討論輔以倉庫自動化專案、多模態網路重構和最後一公里轉型舉措的詳細案例分析，以觀察到的結果來支持策略主張。

這個結論總結了整合數據、自動化和區域策略如何將物流轉變為組織永續的策略能力。

互聯物流並非理論概念，而是確保企業提升營運韌性、成本效益和客戶體驗的實際途徑。透過整合即時數據、實現精準自動化，並將區域策略與產業需求相契合，企業可以將物流從成本中心轉變為策略成長的基石。這項轉變需要周詳的計畫、對互通平台的投資，以及將物流權衡納入更廣泛的商業性決策的管治結構。

目錄

第1章：序言

第2章：調查方法

  • 調查設計
  • 研究框架
  • 市場規模預測
  • 數據三角測量
  • 調查結果
  • 調查的前提
  • 研究限制

第3章執行摘要

  • 首席主管觀點
  • 市場規模和成長趨勢
  • 2025年市佔率分析
  • FPNV定位矩陣，2025
  • 新的商機
  • 下一代經營模式
  • 產業藍圖

第4章 市場概覽

  • 產業生態系與價值鏈分析
  • 波特五力分析
  • PESTEL 分析
  • 市場展望
  • 上市策略

第5章 市場洞察

  • 消費者洞察與終端用戶觀點
  • 消費者體驗基準
  • 機會映射
  • 分銷通路分析
  • 價格趨勢分析
  • 監理合規和標準框架
  • ESG與永續性分析
  • 中斷和風險情景
  • 投資報酬率和成本效益分析

第6章：美國關稅的累積影響，2025年

第7章：人工智慧的累積影響，2025年

第8章 依物流類型分類的物流市場

  • 運輸
  • 倉儲

第9章 以運輸方式分類的物流市場

  • 航空
  • 鐵路
  • 路
  • 海上運輸

第10章：互聯物流市場：依服務類型分類

  • 貨物運輸
  • 庫存管理
  • 最後一公里配送

第11章 互聯物流市場：依最終用途分類

  • 電子商務
  • 衛生保健
  • 製造業
  • 零售

第12章 互聯物流市場：依地區分類

  • 北美洲和南美洲
    • 北美洲
    • 拉丁美洲
  • 歐洲、中東和非洲
    • 歐洲
    • 中東
    • 非洲
  • 亞太地區

第13章 互聯物流市場：依組別分類

  • ASEAN
  • GCC
  • EU
  • BRICS
  • G7
  • NATO

第14章 互聯物流市場：依國家分類

  • 美國
  • 加拿大
  • 墨西哥
  • 巴西
  • 英國
  • 德國
  • 法國
  • 俄羅斯
  • 義大利
  • 西班牙
  • 中國
  • 印度
  • 日本
  • 澳洲
  • 韓國

第15章：美國互聯物流市場

第16章：中國互聯物流市場

第17章 競爭格局

  • 市場集中度分析，2025年
    • 濃度比（CR）
    • 赫芬達爾-赫希曼指數 (HHI)
  • 近期趨勢及影響分析，2025 年
  • 2025年產品系列分析
  • 基準分析，2025 年
  • CH Robinson Worldwide, Inc.
  • CEVA Logistics by CMA CGM Group
  • Descartes Systems Group Inc.
  • DHL International GmbH by Deutsche Post AG
  • E2open, LLC
  • FourKites, Inc.
  • Manhattan Associates, Inc.
  • MercuryGate International, Inc.
  • Oracle Corporation
  • project44, Inc.
  • SAP SE
  • Transporeon Group GmbH
  • WiseTech Global Limited
Product Code: MRR-69324464D3F9

The Connected Logistics Market was valued at USD 43.32 billion in 2025 and is projected to grow to USD 47.88 billion in 2026, with a CAGR of 11.68%, reaching USD 93.92 billion by 2032.

KEY MARKET STATISTICS
Base Year [2025] USD 43.32 billion
Estimated Year [2026] USD 47.88 billion
Forecast Year [2032] USD 93.92 billion
CAGR (%) 11.68%

A forward-looking strategic primer framing why end-to-end connectivity, visibility, and orchestration are essential to modern logistics resilience and competitive differentiation

Supply chains are undergoing a structural transition in which connectivity, real-time visibility, and systemic resilience are no longer optional qualities but essential capabilities. The convergence of cloud platforms, edge computing, Internet of Things sensors, and advanced analytics has transformed previously siloed functions into an interoperable, data-rich ecosystem. As a result, logistics leaders face an imperative to rethink asset utilization, network design, and partner orchestration with an emphasis on agile decision-making and measurable outcomes.

This introduction outlines the strategic stakes for organizations that depend on logistics networks to deliver competitive advantage. It also frames the main themes addressed in the report: technological enablement, regulatory dynamics, shifting trade patterns, and changing customer expectations. By clarifying what constitutes connected logistics in practical terms-integrated telematics, event-driven orchestration, predictive maintenance, and digitally enabled warehousing-this section sets the stage for deeper analysis and concrete recommendations that follow. Throughout, the focus remains on actionable insight that supports executives and operational leaders in prioritizing investments and aligning cross-functional stakeholders around a unified modernization agenda.

How sensor-driven intelligence, warehouse automation, multimodal orchestration, and sustainability commitments are jointly redefining logistics operations and strategy

The logistics landscape is being reshaped by several transformative shifts that interact to accelerate change. First, the proliferation of sensor-driven data and edge compute is enabling a new layer of operational intelligence, allowing organizations to move from reactive firefighting to predictive orchestration. This capability shift reduces cycle times and increases throughput while enabling more nuanced performance measurement tied to specific asset types and routes.

Second, there is heightened emphasis on automation across warehousing and transportation operations. Automated storage and retrieval systems, robotics for picking and packing, and programmatic yard management are changing labor models and capital allocation decisions. Third, modal diversification and multimodal orchestration are gaining traction as organizations balance cost, speed, and emissions objectives. Companies are increasingly integrating air, rail, road, and sea pathways into unified control towers to optimize end-to-end performance.

Finally, sustainability and regulatory compliance have ascended to strategic priorities. Shippers and carriers are instituting decarbonization roadmaps and electrification pilots alongside investments in circular supply chain practices. Taken together, these shifts demand a systems-level response that blends technology, process redesign, and new commercial models to unlock the full potential of connected logistics.

Examining the operational and strategic consequences of changing tariff regimes and how policy-driven trade dynamics compel adaptable logistics network design

The policy environment for cross-border trade continues to exert material influence on logistics network design and operational priorities. Changes to tariff schedules and trade policy introduce new cost vectors, route choices, and inventory strategies that logistics planners must accommodate. In response, supply chain managers are reassessing sourcing footprints, reevaluating nearshoring opportunities, and reconfiguring distribution networks to preserve service levels and margin structures.

When tariff adjustments occur, they create short-term shocks that cascade through procurement, inventory, and freight contracting decisions. In practice, logistics teams have increasingly prioritized flexibility: shifting transport modes where feasible, diversifying carriers, and implementing more agile inventory buffers in key nodes. This adaptability is supported by improved scenario modeling and real-time visibility into landed cost components, enabling faster course correction and more informed negotiations with suppliers and logistics providers.

Over time, sustained tariff dynamics encourage longer-lead structural responses, such as redesigning supplier relationships, investing in regional manufacturing capabilities, or adopting bonded warehousing strategies to defer duties. In parallel, companies are tightening collaboration across commercial, procurement, and logistics functions so that tariff-driven decisions are evaluated against service implications and customer expectations. Ultimately, integrating policy sensitivity into logistics planning supports more resilient and cost-effective networks.

Detailed segmentation insights revealing how logistics type, transport mode, service specialization, and end-use profiles drive differentiated operational and technology priorities

Segmentation analysis reveals where operational priorities and investment pathways diverge across logistics types, modes, services, and end uses. Based on logistics type, the landscape separates into transportation and warehousing; within warehousing, operators differentiate between private and public facilities, and public facilities further split into automated and traditional warehouse formats. These distinctions influence capital intensity, technology adoption timetables, and the commercial models that providers employ.

Based on mode of transport, operations span air, rail, road, and sea modalities, each with distinct lead-time characteristics, regulatory requirements, and emissions profiles. Decision-making that optimizes for speed will favor air and expedited road solutions, whereas cost- and volume-driven flows often rely on rail and sea. Based on service type, the ecosystem includes freight forwarding, inventory management, and last mile delivery; the last mile itself bifurcates into B2B delivery and B2C delivery, with differing expectations around speed, traceability, and returns handling.

Based on end use, sectoral requirements reshape logistics design: e-commerce demands rapid fulfillment cycles and reverse logistics capability, healthcare prioritizes cold chain integrity and regulatory traceability, manufacturing emphasizes just-in-time sequencing and inbound synchronization, and retail focuses on omnichannel replenishment and seasonal elasticity. These segmentation lenses together guide where digital investments yield the highest operational uplift and which service providers or asset strategies best align with specific customer requirements.

How distinct regional characteristics and infrastructure realities across the Americas, Europe, Middle East & Africa, and Asia-Pacific shape logistics strategy, investments, and partner selection

Regional dynamics significantly affect strategy, investment priorities, and partnership choices across logistics ecosystems. In the Americas, advanced digital adoption coexists with vast geographic complexity, which places a premium on multimodal orchestration and hub-and-spoke regionalization; companies operating here often prioritize robustness against long-haul disruptions and demand strong cross-border customs integration.

In Europe, the Middle East & Africa, regulatory heterogeneity and infrastructure capacity present both challenges and opportunities. While dense urban geographies in parts of Europe stimulate rapid last-mile innovation and electrification programs, broader regional trade corridors and port capacities in the Middle East & Africa call for scalable modal integration and capacity planning that accounts for variable institutional environments. Across this region, harmonizing sustainability targets with operational feasibility is a consistent theme.

In Asia-Pacific, fast-evolving e-commerce markets, high urbanization rates, and substantial manufacturing activity create intense demand for both agile fulfillment and efficient long-haul connectivity. Cloud-native orchestration platforms and regional distribution hubs enable players to service dense consumer markets while supporting export-oriented manufacturing. Overall, geographic strategy must reflect a nuanced balance between local regulatory realities, infrastructure maturity, and the specific service-level expectations of target end-use sectors.

Key provider dynamics showing why platform integration, strategic alliances, and service specialization determine competitive advantage and customer preference in logistics

Competitive dynamics among logistics companies are increasingly defined by platform capabilities, strategic partnerships, and service diversification. Leading operators are integrating digital twins, telematics, and advanced analytics into their service portfolios to offer outcome-based contracts and performance guarantees. At the same time, strategic alliances and ecosystem plays-linking carriers, technology providers, and logistics service firms-are accelerating the delivery of end-to-end solutions that extend beyond pure transportation or storage.

Providers that excel are those that can demonstrate interoperability across systems, transparent performance metrics, and flexible commercial arrangements that accommodate peak volatility. Investment patterns suggest a bifurcation where some companies scale vertically to capture value across the logistics stack, while others specialize in niche capabilities such as cold chain, high-velocity last mile, or automated public warehousing. Talent and organizational design are also differentiators: firms that align product management, data science, and field operations produce faster innovation cycles and more practical technology adoption.

Ultimately, market participants that combine disciplined execution, customer-centric service design, and an explicit roadmap for decarbonization will secure preferred supplier status among large shippers. Competitive further advantage accrues to organizations that can translate platform investments into predictable cost-to-serve improvements and demonstrable service reliability gains.

Actionable strategic roadmap for logistics leaders prioritizing visibility, targeted automation pilots, modal optimization, and governance to scale transformative programs

Industry leaders should pursue a pragmatic, phased approach to modernizing logistics capabilities, beginning with high-impact, low-friction initiatives and progressively scaling to system-level transformation. Initially, firms must prioritize visibility and data quality: harmonize telemetry standards, consolidate event streams into a single control plane, and ensure master data integrity so that downstream analytics yield reliable decision signals. Establishing a single source of operational truth reduces firefighting and enables focused process improvement.

Next, organizations should pilot automation in warehousing and material handling where labor variability or repetitive tasks yield clear efficiency gains. Pilots should be structured around measurable KPIs and designed to inform broader rollouts through iterative learning. Concurrently, leaders should adopt a modal-agnostic procurement approach that evaluates transport options based on total landed cost, service risk, and sustainability objectives rather than legacy preferences.

Finally, invest in governance and cross-functional cadence that embeds logistics decisions into commercial and procurement forums. This alignment enables active management of tariff volatility and supplier strategy while supporting rapid scaling of successful pilots. By following this sequence-data foundations, targeted automation, modal optimization, and governance-organizations can reduce implementation risk while accelerating operational impact.

A transparent, evidence-driven research approach combining executive interviews, operational case studies, and cross-validated secondary analysis to ensure practical relevance

The research underpinning these insights combines structured qualitative interviews, operational case studies, and systematic review of industry deployments to create an evidence-based perspective. Primary inputs included conversations with supply chain executives, operations leaders, and technology providers to capture real-world decision processes and implementation trade-offs. These discussions were augmented with in-depth case analyses of warehouse automation programs, multimodal network redesigns, and last-mile transformation initiatives to ground strategic assertions in observed outcomes.

Secondary research synthesized public filings, regulatory announcements, technology vendor documentation, and trade publications to map trends and validate thematic convergence across regions and sectors. Analytic rigor was maintained through cross-validation, where findings from qualitative interviews were tested against documented deployments and vendor capability statements. Where possible, technical claims were corroborated with deployment timelines and operational metrics to ensure practical relevance.

Methodological limitations are acknowledged: rapidly evolving technology performance and regional regulatory shifts mean that ongoing monitoring is necessary to sustain relevance. To mitigate this, the approach emphasizes repeatable frameworks and scenario-based analysis that equip decision-makers to update assumptions as conditions change.

A concise conclusion that synthesizes how integrated data, automation, and regional strategy collectively convert logistics into a durable strategic capability for organizations

Connected logistics is not a theoretical construct but a pragmatic pathway for organizations to secure operational resilience, cost efficiency, and improved customer outcomes. By integrating real-time data, applying targeted automation, and aligning regional strategies with sectoral demands, companies can transform logistics from a cost center into a strategic enabler of growth. This transformation requires disciplined sequencing, investment in interoperable platforms, and governance structures that embed logistics trade-offs into broader commercial decision-making.

Looking ahead, successful adopters will be those who treat logistics as an integrated system rather than a collection of discrete functions. They will prioritize clarity of objectives, rigorous measurement, and collaborative partnerships that bring together carriers, warehouse operators, and technology providers in an orchestrated manner. In doing so, organizations not only mitigate short-term shocks like policy changes or capacity constraints but also create a flexible foundation for continuous improvement and innovation. The net result is a logistics capability that supports long-term competitiveness and strategic agility.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Definition
  • 1.3. Market Segmentation & Coverage
  • 1.4. Years Considered for the Study
  • 1.5. Currency Considered for the Study
  • 1.6. Language Considered for the Study
  • 1.7. Key Stakeholders

2. Research Methodology

  • 2.1. Introduction
  • 2.2. Research Design
    • 2.2.1. Primary Research
    • 2.2.2. Secondary Research
  • 2.3. Research Framework
    • 2.3.1. Qualitative Analysis
    • 2.3.2. Quantitative Analysis
  • 2.4. Market Size Estimation
    • 2.4.1. Top-Down Approach
    • 2.4.2. Bottom-Up Approach
  • 2.5. Data Triangulation
  • 2.6. Research Outcomes
  • 2.7. Research Assumptions
  • 2.8. Research Limitations

3. Executive Summary

  • 3.1. Introduction
  • 3.2. CXO Perspective
  • 3.3. Market Size & Growth Trends
  • 3.4. Market Share Analysis, 2025
  • 3.5. FPNV Positioning Matrix, 2025
  • 3.6. New Revenue Opportunities
  • 3.7. Next-Generation Business Models
  • 3.8. Industry Roadmap

4. Market Overview

  • 4.1. Introduction
  • 4.2. Industry Ecosystem & Value Chain Analysis
    • 4.2.1. Supply-Side Analysis
    • 4.2.2. Demand-Side Analysis
    • 4.2.3. Stakeholder Analysis
  • 4.3. Porter's Five Forces Analysis
  • 4.4. PESTLE Analysis
  • 4.5. Market Outlook
    • 4.5.1. Near-Term Market Outlook (0-2 Years)
    • 4.5.2. Medium-Term Market Outlook (3-5 Years)
    • 4.5.3. Long-Term Market Outlook (5-10 Years)
  • 4.6. Go-to-Market Strategy

5. Market Insights

  • 5.1. Consumer Insights & End-User Perspective
  • 5.2. Consumer Experience Benchmarking
  • 5.3. Opportunity Mapping
  • 5.4. Distribution Channel Analysis
  • 5.5. Pricing Trend Analysis
  • 5.6. Regulatory Compliance & Standards Framework
  • 5.7. ESG & Sustainability Analysis
  • 5.8. Disruption & Risk Scenarios
  • 5.9. Return on Investment & Cost-Benefit Analysis

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. Connected Logistics Market, by Logistics Type

  • 8.1. Transportation
  • 8.2. Warehousing

9. Connected Logistics Market, by Mode Of Transport

  • 9.1. Air
  • 9.2. Rail
  • 9.3. Road
  • 9.4. Sea

10. Connected Logistics Market, by Service Type

  • 10.1. Freight Forwarding
  • 10.2. Inventory Management
  • 10.3. Last Mile Delivery

11. Connected Logistics Market, by End Use

  • 11.1. E-Commerce
  • 11.2. Healthcare
  • 11.3. Manufacturing
  • 11.4. Retail

12. Connected Logistics Market, by Region

  • 12.1. Americas
    • 12.1.1. North America
    • 12.1.2. Latin America
  • 12.2. Europe, Middle East & Africa
    • 12.2.1. Europe
    • 12.2.2. Middle East
    • 12.2.3. Africa
  • 12.3. Asia-Pacific

13. Connected Logistics Market, by Group

  • 13.1. ASEAN
  • 13.2. GCC
  • 13.3. European Union
  • 13.4. BRICS
  • 13.5. G7
  • 13.6. NATO

14. Connected Logistics Market, by Country

  • 14.1. United States
  • 14.2. Canada
  • 14.3. Mexico
  • 14.4. Brazil
  • 14.5. United Kingdom
  • 14.6. Germany
  • 14.7. France
  • 14.8. Russia
  • 14.9. Italy
  • 14.10. Spain
  • 14.11. China
  • 14.12. India
  • 14.13. Japan
  • 14.14. Australia
  • 14.15. South Korea

15. United States Connected Logistics Market

16. China Connected Logistics Market

17. Competitive Landscape

  • 17.1. Market Concentration Analysis, 2025
    • 17.1.1. Concentration Ratio (CR)
    • 17.1.2. Herfindahl Hirschman Index (HHI)
  • 17.2. Recent Developments & Impact Analysis, 2025
  • 17.3. Product Portfolio Analysis, 2025
  • 17.4. Benchmarking Analysis, 2025
  • 17.5. C.H. Robinson Worldwide, Inc.
  • 17.6. CEVA Logistics by CMA CGM Group
  • 17.7. Descartes Systems Group Inc.
  • 17.8. DHL International GmbH by Deutsche Post AG
  • 17.9. E2open, LLC
  • 17.10. FourKites, Inc.
  • 17.11. Manhattan Associates, Inc.
  • 17.12. MercuryGate International, Inc.
  • 17.13. Oracle Corporation
  • 17.14. project44, Inc.
  • 17.15. SAP SE
  • 17.16. Transporeon Group GmbH
  • 17.17. WiseTech Global Limited

LIST OF FIGURES

  • FIGURE 1. GLOBAL CONNECTED LOGISTICS MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 2. GLOBAL CONNECTED LOGISTICS MARKET SHARE, BY KEY PLAYER, 2025
  • FIGURE 3. GLOBAL CONNECTED LOGISTICS MARKET, FPNV POSITIONING MATRIX, 2025
  • FIGURE 4. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY LOGISTICS TYPE, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 5. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY MODE OF TRANSPORT, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 6. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY SERVICE TYPE, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 7. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY END USE, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 8. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY REGION, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 9. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY GROUP, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 10. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY COUNTRY, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 11. UNITED STATES CONNECTED LOGISTICS MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 12. CHINA CONNECTED LOGISTICS MARKET SIZE, 2018-2032 (USD MILLION)

LIST OF TABLES

  • TABLE 1. GLOBAL CONNECTED LOGISTICS MARKET SIZE, 2018-2032 (USD MILLION)
  • TABLE 2. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY LOGISTICS TYPE, 2018-2032 (USD MILLION)
  • TABLE 3. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY TRANSPORTATION, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 4. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY TRANSPORTATION, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 5. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY TRANSPORTATION, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 6. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY WAREHOUSING, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 7. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY WAREHOUSING, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 8. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY WAREHOUSING, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 9. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY MODE OF TRANSPORT, 2018-2032 (USD MILLION)
  • TABLE 10. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY AIR, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 11. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY AIR, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 12. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY AIR, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 13. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY RAIL, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 14. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY RAIL, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 15. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY RAIL, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 16. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY ROAD, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 17. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY ROAD, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 18. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY ROAD, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 19. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY SEA, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 20. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY SEA, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 21. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY SEA, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 22. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY SERVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 23. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY FREIGHT FORWARDING, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 24. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY FREIGHT FORWARDING, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 25. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY FREIGHT FORWARDING, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 26. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY INVENTORY MANAGEMENT, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 27. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY INVENTORY MANAGEMENT, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 28. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY INVENTORY MANAGEMENT, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 29. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY LAST MILE DELIVERY, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 30. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY LAST MILE DELIVERY, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 31. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY LAST MILE DELIVERY, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 32. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY END USE, 2018-2032 (USD MILLION)
  • TABLE 33. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY E-COMMERCE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 34. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY E-COMMERCE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 35. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY E-COMMERCE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 36. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 37. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY HEALTHCARE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 38. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY HEALTHCARE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 39. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 40. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY MANUFACTURING, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 41. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY MANUFACTURING, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 42. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY RETAIL, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 43. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY RETAIL, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 44. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY RETAIL, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 45. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 46. AMERICAS CONNECTED LOGISTICS MARKET SIZE, BY SUBREGION, 2018-2032 (USD MILLION)
  • TABLE 47. AMERICAS CONNECTED LOGISTICS MARKET SIZE, BY LOGISTICS TYPE, 2018-2032 (USD MILLION)
  • TABLE 48. AMERICAS CONNECTED LOGISTICS MARKET SIZE, BY MODE OF TRANSPORT, 2018-2032 (USD MILLION)
  • TABLE 49. AMERICAS CONNECTED LOGISTICS MARKET SIZE, BY SERVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 50. AMERICAS CONNECTED LOGISTICS MARKET SIZE, BY END USE, 2018-2032 (USD MILLION)
  • TABLE 51. NORTH AMERICA CONNECTED LOGISTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 52. NORTH AMERICA CONNECTED LOGISTICS MARKET SIZE, BY LOGISTICS TYPE, 2018-2032 (USD MILLION)
  • TABLE 53. NORTH AMERICA CONNECTED LOGISTICS MARKET SIZE, BY MODE OF TRANSPORT, 2018-2032 (USD MILLION)
  • TABLE 54. NORTH AMERICA CONNECTED LOGISTICS MARKET SIZE, BY SERVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 55. NORTH AMERICA CONNECTED LOGISTICS MARKET SIZE, BY END USE, 2018-2032 (USD MILLION)
  • TABLE 56. LATIN AMERICA CONNECTED LOGISTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 57. LATIN AMERICA CONNECTED LOGISTICS MARKET SIZE, BY LOGISTICS TYPE, 2018-2032 (USD MILLION)
  • TABLE 58. LATIN AMERICA CONNECTED LOGISTICS MARKET SIZE, BY MODE OF TRANSPORT, 2018-2032 (USD MILLION)
  • TABLE 59. LATIN AMERICA CONNECTED LOGISTICS MARKET SIZE, BY SERVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 60. LATIN AMERICA CONNECTED LOGISTICS MARKET SIZE, BY END USE, 2018-2032 (USD MILLION)
  • TABLE 61. EUROPE, MIDDLE EAST & AFRICA CONNECTED LOGISTICS MARKET SIZE, BY SUBREGION, 2018-2032 (USD MILLION)
  • TABLE 62. EUROPE, MIDDLE EAST & AFRICA CONNECTED LOGISTICS MARKET SIZE, BY LOGISTICS TYPE, 2018-2032 (USD MILLION)
  • TABLE 63. EUROPE, MIDDLE EAST & AFRICA CONNECTED LOGISTICS MARKET SIZE, BY MODE OF TRANSPORT, 2018-2032 (USD MILLION)
  • TABLE 64. EUROPE, MIDDLE EAST & AFRICA CONNECTED LOGISTICS MARKET SIZE, BY SERVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 65. EUROPE, MIDDLE EAST & AFRICA CONNECTED LOGISTICS MARKET SIZE, BY END USE, 2018-2032 (USD MILLION)
  • TABLE 66. EUROPE CONNECTED LOGISTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 67. EUROPE CONNECTED LOGISTICS MARKET SIZE, BY LOGISTICS TYPE, 2018-2032 (USD MILLION)
  • TABLE 68. EUROPE CONNECTED LOGISTICS MARKET SIZE, BY MODE OF TRANSPORT, 2018-2032 (USD MILLION)
  • TABLE 69. EUROPE CONNECTED LOGISTICS MARKET SIZE, BY SERVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 70. EUROPE CONNECTED LOGISTICS MARKET SIZE, BY END USE, 2018-2032 (USD MILLION)
  • TABLE 71. MIDDLE EAST CONNECTED LOGISTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 72. MIDDLE EAST CONNECTED LOGISTICS MARKET SIZE, BY LOGISTICS TYPE, 2018-2032 (USD MILLION)
  • TABLE 73. MIDDLE EAST CONNECTED LOGISTICS MARKET SIZE, BY MODE OF TRANSPORT, 2018-2032 (USD MILLION)
  • TABLE 74. MIDDLE EAST CONNECTED LOGISTICS MARKET SIZE, BY SERVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 75. MIDDLE EAST CONNECTED LOGISTICS MARKET SIZE, BY END USE, 2018-2032 (USD MILLION)
  • TABLE 76. AFRICA CONNECTED LOGISTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 77. AFRICA CONNECTED LOGISTICS MARKET SIZE, BY LOGISTICS TYPE, 2018-2032 (USD MILLION)
  • TABLE 78. AFRICA CONNECTED LOGISTICS MARKET SIZE, BY MODE OF TRANSPORT, 2018-2032 (USD MILLION)
  • TABLE 79. AFRICA CONNECTED LOGISTICS MARKET SIZE, BY SERVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 80. AFRICA CONNECTED LOGISTICS MARKET SIZE, BY END USE, 2018-2032 (USD MILLION)
  • TABLE 81. ASIA-PACIFIC CONNECTED LOGISTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 82. ASIA-PACIFIC CONNECTED LOGISTICS MARKET SIZE, BY LOGISTICS TYPE, 2018-2032 (USD MILLION)
  • TABLE 83. ASIA-PACIFIC CONNECTED LOGISTICS MARKET SIZE, BY MODE OF TRANSPORT, 2018-2032 (USD MILLION)
  • TABLE 84. ASIA-PACIFIC CONNECTED LOGISTICS MARKET SIZE, BY SERVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 85. ASIA-PACIFIC CONNECTED LOGISTICS MARKET SIZE, BY END USE, 2018-2032 (USD MILLION)
  • TABLE 86. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 87. ASEAN CONNECTED LOGISTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 88. ASEAN CONNECTED LOGISTICS MARKET SIZE, BY LOGISTICS TYPE, 2018-2032 (USD MILLION)
  • TABLE 89. ASEAN CONNECTED LOGISTICS MARKET SIZE, BY MODE OF TRANSPORT, 2018-2032 (USD MILLION)
  • TABLE 90. ASEAN CONNECTED LOGISTICS MARKET SIZE, BY SERVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 91. ASEAN CONNECTED LOGISTICS MARKET SIZE, BY END USE, 2018-2032 (USD MILLION)
  • TABLE 92. GCC CONNECTED LOGISTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 93. GCC CONNECTED LOGISTICS MARKET SIZE, BY LOGISTICS TYPE, 2018-2032 (USD MILLION)
  • TABLE 94. GCC CONNECTED LOGISTICS MARKET SIZE, BY MODE OF TRANSPORT, 2018-2032 (USD MILLION)
  • TABLE 95. GCC CONNECTED LOGISTICS MARKET SIZE, BY SERVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 96. GCC CONNECTED LOGISTICS MARKET SIZE, BY END USE, 2018-2032 (USD MILLION)
  • TABLE 97. EUROPEAN UNION CONNECTED LOGISTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 98. EUROPEAN UNION CONNECTED LOGISTICS MARKET SIZE, BY LOGISTICS TYPE, 2018-2032 (USD MILLION)
  • TABLE 99. EUROPEAN UNION CONNECTED LOGISTICS MARKET SIZE, BY MODE OF TRANSPORT, 2018-2032 (USD MILLION)
  • TABLE 100. EUROPEAN UNION CONNECTED LOGISTICS MARKET SIZE, BY SERVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 101. EUROPEAN UNION CONNECTED LOGISTICS MARKET SIZE, BY END USE, 2018-2032 (USD MILLION)
  • TABLE 102. BRICS CONNECTED LOGISTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 103. BRICS CONNECTED LOGISTICS MARKET SIZE, BY LOGISTICS TYPE, 2018-2032 (USD MILLION)
  • TABLE 104. BRICS CONNECTED LOGISTICS MARKET SIZE, BY MODE OF TRANSPORT, 2018-2032 (USD MILLION)
  • TABLE 105. BRICS CONNECTED LOGISTICS MARKET SIZE, BY SERVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 106. BRICS CONNECTED LOGISTICS MARKET SIZE, BY END USE, 2018-2032 (USD MILLION)
  • TABLE 107. G7 CONNECTED LOGISTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 108. G7 CONNECTED LOGISTICS MARKET SIZE, BY LOGISTICS TYPE, 2018-2032 (USD MILLION)
  • TABLE 109. G7 CONNECTED LOGISTICS MARKET SIZE, BY MODE OF TRANSPORT, 2018-2032 (USD MILLION)
  • TABLE 110. G7 CONNECTED LOGISTICS MARKET SIZE, BY SERVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 111. G7 CONNECTED LOGISTICS MARKET SIZE, BY END USE, 2018-2032 (USD MILLION)
  • TABLE 112. NATO CONNECTED LOGISTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 113. NATO CONNECTED LOGISTICS MARKET SIZE, BY LOGISTICS TYPE, 2018-2032 (USD MILLION)
  • TABLE 114. NATO CONNECTED LOGISTICS MARKET SIZE, BY MODE OF TRANSPORT, 2018-2032 (USD MILLION)
  • TABLE 115. NATO CONNECTED LOGISTICS MARKET SIZE, BY SERVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 116. NATO CONNECTED LOGISTICS MARKET SIZE, BY END USE, 2018-2032 (USD MILLION)
  • TABLE 117. GLOBAL CONNECTED LOGISTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 118. UNITED STATES CONNECTED LOGISTICS MARKET SIZE, 2018-2032 (USD MILLION)
  • TABLE 119. UNITED STATES CONNECTED LOGISTICS MARKET SIZE, BY LOGISTICS TYPE, 2018-2032 (USD MILLION)
  • TABLE 120. UNITED STATES CONNECTED LOGISTICS MARKET SIZE, BY MODE OF TRANSPORT, 2018-2032 (USD MILLION)
  • TABLE 121. UNITED STATES CONNECTED LOGISTICS MARKET SIZE, BY SERVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 122. UNITED STATES CONNECTED LOGISTICS MARKET SIZE, BY END USE, 2018-2032 (USD MILLION)
  • TABLE 123. CHINA CONNECTED LOGISTICS MARKET SIZE, 2018-2032 (USD MILLION)
  • TABLE 124. CHINA CONNECTED LOGISTICS MARKET SIZE, BY LOGISTICS TYPE, 2018-2032 (USD MILLION)
  • TABLE 125. CHINA CONNECTED LOGISTICS MARKET SIZE, BY MODE OF TRANSPORT, 2018-2032 (USD MILLION)
  • TABLE 126. CHINA CONNECTED LOGISTICS MARKET SIZE, BY SERVICE TYPE, 2018-2032 (USD MILLION)
  • TABLE 127. CHINA CONNECTED LOGISTICS MARKET SIZE, BY END USE, 2018-2032 (USD MILLION)