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市场调查报告书
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1978698

互联物流市场：依物流类型、运输方式、服务类型及最终用途划分－2026-2032年全球预测

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个工作天内

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预计到 2025 年，互联物流市场价值将达到 433.2 亿美元，到 2026 年将成长至 478.8 亿美元，到 2032 年将达到 939.2 亿美元，复合年增长率为 11.68%。

主要市场统计数据
基准年 2025 433.2亿美元
预计年份：2026年 478.8亿美元
预测年份 2032 939.2亿美元
复合年增长率 (%) 11.68%

这份具有前瞻性的策略指南解释了为什么端到端的连接性、可视性和协调性对于现代物流的韧性和竞争优势至关重要。

供应链正在经历结构性变革时期，互联互通、即时可视性和系统韧性已不再是可选项，而是不可或缺的能力。云端平台、边缘运算、物联网感测器和进阶分析技术的融合，正在将以往各自独立的功能转变为可互通、数据丰富的生态系统。因此，物流领导者迫切需要重新思考资产利用率、网路设计和合作伙伴协作，优先考虑敏捷决策和可衡量的结果。

感测器驱动智慧、仓库自动化、多模态协作和永续性倡议如何共同作用，重新定义物流营运和策略。

物流业正经历多重变革的重塑，这些变革相互作用，加速了产业发展。首先，感测器驱动数据和边缘运算的普及，催生了全新的营运智慧层面，使企业能够从被动应对危机转向主动预测协调。这种能力转型将缩短週期时间，提高吞吐量，同时实现与特定资产类型和路线相关的更精细的绩效衡量。

本检验了关税制度变化的营运和策略影响，以及政策主导的贸易趋势如何促进高度适应性物流网络的设计。

跨境贸易政策环境持续对物流网路设计和营运重点产生重大影响。关税表和贸易政策的变化引入了新的成本因素、路线选择和库存策略，迫使物流规划负责人做出调整。为此，供应链管理者正在重新评估采购地点，重新考虑近岸外包机会，并重组分销网络，以维持服务水准和利润结构。

详细的細項分析揭示了物流类型、运输方式、服务专业化和最终用户概况如何区分营运和技术重点。

细分市场分析揭示了不同物流类型、运输方式、服务和最终用途所带来的营运重点和投资路径的差异。按物流类型划分，该行业可分为运输和仓储管理。在仓储管理领域，业者区分专用仓库和公共仓库，公共仓库可细分为自动化仓库和传统仓库。这些差异会影响资本密集度、技术实施进度以及供应商采用的商业模式。

美洲、欧洲、中东和非洲以及亚太地区的区域特征和基础设施对物流战略、投资和合作伙伴选择的影响。

区域趋势对整个物流生态系统的策略、投资重点和伙伴关係选择都产生重大影响。在美洲，数位化应用正在稳步推进，但地理环境极为复杂，因此多模态协调和枢纽辐射式在地化模式尤其重要。在该地区营运的企业往往优先考虑应对长途运输中断的能力，并要求实现强大的跨境海关一体化。

主要供应商的发展趋势：平台整合、策略联盟和服务专业化为何决定竞争优势和客户偏好

物流企业的竞争趋势日益凸显，平台能力、策略联盟和服务多角化成为决定性因素。主要企业正将数位双胞胎、远端资讯处理和高阶分析技术整合到其服务组合中，并提供基于绩效的合约和绩效保证。同时，连接承运商、技术供应商和物流服务公司的策略联盟和生态系统策略正在加速交付超越传统运输和仓储的端到端解决方案。

为物流领导者提供的实用策略蓝图，优先考虑可视性、有针对性的自动化试点、优化的运输方式以及扩大转型计画的管治。

产业领导者应采取务实且分阶段的方式来实现物流能力现代化。首先推行影响大、阻力小的倡议，然后逐步扩展到系统层面的转型。在初期阶段，应优先考虑可视性和资料品质。统一遥测标准、将事件流整合到单一控制平面以及确保主资料的完整性，将使下游分析能够产生可靠的决策讯号。建立单一的营运资料来源将减少紧急应变，并实现集中化的流程改善。

透过透明的实证研究，结合高阶主管的访谈、案例研究和交叉检验的二手分析，确保了实际相关性。

支持这些洞见的研究结合了结构化的定性访谈、营运案例研究以及对行业应用案例的系统性回顾，从而构建了基于证据的观点。关键资讯来源包括与供应链高管、营运经理和技术提供者的对话，以了解现实世界的决策流程和实施权衡。这些讨论辅以仓库自动化专案、多模态网路重构和最后一公里转型倡议的详细案例分析，以观察到的结果来支持策略主张。

这个结论总结了整合数据、自动化和区域策略如何将物流转变为组织永续的策略能力。

互联物流并非理论概念，而是确保企业提升营运韧性、成本效益和客户体验的实际途径。透过整合即时数据、实现精准自动化，并将区域策略与产业需求相契合，企业可以将物流从成本中心转变为策略成长的基石。这项转变需要周详的计画、对互通平台的投资，以及将物流权衡纳入更广泛的商业性决策的管治结构。

目录

第一章：序言

第二章：调查方法

  • 调查设计
  • 研究框架
  • 市场规模预测
  • 数据三角测量
  • 调查结果
  • 调查的前提
  • 研究限制

第三章执行摘要

  • 首席主管观点
  • 市场规模和成长趋势
  • 2025年市占率分析
  • FPNV定位矩阵，2025
  • 新的商机
  • 下一代经营模式
  • 产业蓝图

第四章 市场概览

  • 产业生态系与价值链分析
  • 波特五力分析
  • PESTEL 分析
  • 市场展望
  • 上市策略

第五章 市场洞察

  • 消费者洞察与终端用户观点
  • 消费者体验基准
  • 机会映射
  • 分销通路分析
  • 价格趋势分析
  • 监理合规和标准框架
  • ESG与永续性分析
  • 中断和风险情景
  • 投资报酬率和成本效益分析

第六章：美国关税的累积影响，2025年

第七章：人工智慧的累积影响，2025年

第八章 依物流类型分類的物流市场

  • 运输
  • 仓储

第九章 以运输方式分類的物流市场

  • 航空
  • 铁路
  • 路
  • 海上运输

第十章：互联物流市场：依服务类型划分

  • 货物运输
  • 库存管理
  • 最后一公里配送

第十一章 互联物流市场：依最终用途划分

  • 电子商务
  • 卫生保健
  • 製造业
  • 零售

第十二章 互联物流市场：依地区划分

  • 北美洲和南美洲
    • 北美洲
    • 拉丁美洲
  • 欧洲、中东和非洲
    • 欧洲
    • 中东
    • 非洲
  • 亚太地区

第十三章 互联物流市场：依组别划分

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

第十四章 互联物流市场：依国家划分

  • 我们
  • 加拿大
  • 墨西哥
  • 巴西
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 义大利
  • 西班牙
  • 中国
  • 印度
  • 日本
  • 澳洲
  • 韩国

第十五章：美国互联物流市场

第十六章：中国互联物流市场

第十七章 竞争格局

  • 市场集中度分析，2025年
    • 浓度比（CR）
    • 赫芬达尔-赫希曼指数 (HHI)
  • 近期趋势及影响分析，2025 年
  • 2025年产品系列分析
  • 基准分析，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)