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市場調查報告書
商品編碼
2129244

物流平台市場預測至2034年－按平台功能、資料整合、連接模式、營運模式、最終用戶和區域分類的全球分析

Connected Logistics Platforms Market Forecasts to 2034 - Global Analysis By Platform Function, Data Integration, Connectivity Model, Operating Model, End User, and Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球互聯物流平台市場規模將達到 185 億美元，並在預測期內以 14% 的複合年成長率成長，到 2034 年將達到 528 億美元。

互聯物流平台是一個數位化系統，它透過互聯技術整合物流營運、運輸資產、運輸資料、倉庫、承運商和供應鏈相關人員。這些平台利用物聯網、雲端運算、人工智慧、遠端資訊處理和即時分析等技術，提供貨物可視性、車隊協調、庫存監控、路線最佳化和營運智慧。這使物流業者能夠提高資產利用率、減少運輸延誤、最佳化資源配置並加強供應鏈協調。電子商務的蓬勃發展、供應鏈日益複雜以及對即時物流可視性的需求不斷成長，正在推動全球範圍內互聯物流平台的普及應用。

提高即時物流可視性

互聯物流平台將貨物、車輛、倉庫和運輸數據整合到一個統一的數位化環境中。這些平台可協助企業識別延誤並快速應對中斷。即時數據還能改善承運商、供應商、倉庫和客戶之間的協作。預測工具可以利用這些資訊來提高路線規劃和預計交付時間的準確性。更高的可視性有助於降低複雜運輸網路中的不確定性。隨著供應鏈數位化程度的提高，對互聯物流平台的需求預計將進一步成長。

複雜舊有系統的整合

將這些系統與現代互聯物流平台整合可能需要大量的技術投入。舊有系統可能使用不同的資料格式和通訊標準，導致難以在物流運作中建立一致的資訊流。此外，企業可能還需要在API、中介軟體和系統升級方面投入額外的資源。當涉及多個合作夥伴和平台時，整合專案可能會非常耗時。這些挑戰會減緩技術環境高度分散的組織採用新系統的步伐。

人工智慧驅動的物流編配

人工智慧 (AI) 可以分析運輸數據，識別延誤、運力問題和營運瓶頸。透過利用預測模型，企業可以在中斷影響交付之前進行預測。 AI 還可以根據情況而變化，提案替代路線、承運商或履約方案。自動化決策可以改善運輸和倉儲營運之間的協調。與即時追蹤系統的整合可以為 AI 模型提供持續的營運數據。這些功能使物流供應商能夠從基本的可見性轉向更主動的供應鏈管理。

整個網路都存在網路安全風險

互聯物流平台依賴海量的營運和運輸數據。互聯系統可能涉及承運商、供應商、倉庫、客戶和第三方技術提供者。任何一條連接上的安全事件都可能擾亂更廣泛的物流運作。企業必須投資於身分驗證、加密、存取控制和持續監控，以保護敏感資訊。隨著互聯性的增強，需要採取安全措施的系統數量也隨之增加。持續的網路安全問題可能會影響技術選擇並增加實施成本。

新型冠狀病毒（COVID-19）的影響：

新冠疫情暴露了傳統供應鏈可視性和協調系統的不足。物流公司面臨許多挑戰，例如運輸延誤、人手不足、邊境限制以及客戶需求的快速變化。這些挑戰凸顯了即時掌握運輸狀態、庫存和運力資訊的重要性。數位化物流平台可協助企業監控不斷變化的情況並遠端協調營運。此次危機也促使企業減少對人工追蹤和分散式溝通流程的依賴。隨著供應鏈的復甦，投資數位化視覺性和互聯物流技術的重要性愈發凸顯。

在預測期內，貨運管理平台細分市場預計將佔據最大的市場佔有率。

隨著企業尋求集中式工具來管理日益複雜的運輸運營，預計貨運管理平台將在預測期內佔據最大的市場佔有率。這些平台可協助企業協調貨物運輸、承運商、路線、運費和交貨時間表。與即時追蹤系統的整合能夠更清晰地展現貨物運輸的進展。企業還可以利用平台數據來識別運輸效率低下的環節，並提高資源利用效率。隨著貨運量的成長，對自動化規劃和執行工具的需求也日益增加。與企業和倉儲系統的整合進一步增強了貨運管理平台的效用。

預計預測期內，預測營運領域將呈現最高的複合年成長率。

在預測期內，由於對主動式物流決策的需求不斷成長，預測營運領域預計將呈現最高的成長率。預測系統能夠分析歷史數據和即時數據，從而識別運輸過程中潛在的中斷。企業可以利用這些洞察來預測延誤、運力短缺和交付條件的變化。預測分析也有助於制定最佳的車輛分配和路線規劃。人工智慧和機器學習的整合正在提高營運預測的準確性。物流業者正日益從被動應對轉向早期療育策略。這種轉變預計將加速預測營運解決方案的普及應用。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於其對數位化物流的積極應用和先進的交通基礎設施。美國擁有大規模的貨運生態系統，車輛和供應鏈技術已廣泛應用。物流業者正增加對即時追蹤、貨物管理和預測分析的投資。雲端企業系統的普及也推動了與互聯物流平台的整合。領先技術供應商的存在促進了區域市場的持續創新。電子商務的成長進一步提升了對貨物可視性和快速交付協調的需求。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於物流網路的擴張和數位轉型的快速發展。中國、印度、日本和韓國等國正大力投資運輸和供應鏈技術。電子商務的蓬勃發展日益成長，對即時貨物追蹤和高效配送管理的需求也隨之增加。製造商們也積極採用互聯物流解決方案，以加強區域和國際供應鏈的協調。雲端平台和行動技術的進步使得數位化物流工具更容易被小規模企業所使用。對智慧港口、倉庫和交通基礎設施的投資也創造了更多商機。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域分類
    • 根據客戶要求，我們可以提供主要國家和地區的市場估算、預測和複合年成長率計算（註：這需經可行性確認）。
  • 競爭性標竿分析
    • 根據產品系列、企業發展和策略聯盟對重點公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球互聯物流平台市場：依平台功能分類

  • 車隊管理平台
  • 貨物管理平台
  • 倉庫管理平台
  • 資產管理平台
  • 供應鏈視覺化平台
  • 其他平台功能

第6章 全球互聯物流平台市場：依資料整合分類

  • 企業系統整合
  • 運輸公司系統整合
  • 物聯網整合
  • 遠端資訊處理整合
  • 外部資料整合
  • 其他資料整合

第7章 全球互聯物流平台市場：依連結模式分類

  • 蜂窩網路連接
  • 衛星連線
  • 短距離無線連接
  • LPWAN 連線
  • 混合連接
  • 其他連接方式

第8章：全球互聯物流平台市場：依營運模式分類

  • 即時操作
  • 預測操作
  • 自動化操作
  • 合作營運
  • 異常驅動操作
  • 其他營運模式

第9章 全球互聯物流平台市場：依最終用戶分類

  • 托運人
  • 第三方物流供應商
  • 貨運業者
  • 倉庫營運商
  • 銷售代理
  • 其他最終用戶

第10章：全球互聯物流平台市場：依地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • SAP SE
  • Oracle Corporation
  • IBM Corporation
  • Microsoft Corporation
  • Manhattan Associates, Inc.
  • Descartes Systems Group Inc.
  • E2open Parent Holdings, Inc.
  • Kinaxis Inc.
  • Trimble Inc.
  • Samsara Inc.
  • Geotab Inc.
  • Project44
  • FourKites, Inc.
  • WiseTech Global Limited
  • Korber AG
Product Code: SMRC39321

According to Stratistics MRC, the Global Connected Logistics Platforms Market is accounted for $18.50 billion in 2026 and is expected to reach $52.80 billion by 2034 growing at a CAGR of 14% during the forecast period. Connected logistics platforms are digital systems that integrate logistics operations, transportation assets, shipment data, warehouses, carriers, and supply chain stakeholders through connected technologies. These platforms use IoT, cloud computing, artificial intelligence, telematics, and real-time analytics to provide shipment visibility, fleet coordination, inventory monitoring, route optimization, and operational intelligence. They enable logistics providers to improve asset utilization, reduce transportation delays, optimize resources, and strengthen supply chain coordination. Growing e-commerce activity, increasing supply chain complexity, and demand for real-time logistics visibility are driving the adoption of connected logistics platforms worldwide.

Market Dynamics:

Driver:

Growing real-time logistics visibility

Connected logistics platforms integrate shipment, fleet, warehouse, and transportation data into a unified digital environment. These platforms help companies identify delays and respond to disruptions more quickly. Real-time data also improves coordination between carriers, suppliers, warehouses, and customers. Predictive tools can use this information to improve route planning and delivery estimates. Greater visibility helps businesses reduce uncertainty across complex transportation networks. As supply chains become more digitally connected, demand for connected logistics platforms is expected to increase.

Restraint:

Complex legacy system integration

Integrating these systems with modern connected logistics platforms can require significant technical effort. Legacy systems may use different data formats and communication standards. This can make it difficult to create a consistent flow of information across logistics operations. Companies may also need additional investment in APIs, middleware, and system upgrades. Integration projects can take considerable time when multiple partners and platforms are involved. These challenges may slow adoption among organizations with highly fragmented technology environments.

Opportunity:

AI-enabled logistics orchestration

Artificial intelligence can analyze transportation data to identify delays, capacity issues, and operational bottlenecks. Predictive models can help companies anticipate disruptions before they affect deliveries. AI can also recommend alternative routes, carriers, or fulfillment options based on changing conditions. Automated decision-making can improve coordination across transportation and warehouse operations. Integration with real-time tracking systems can provide AI models with continuous operational data. These capabilities can help logistics providers move from basic visibility toward more proactive supply chain management.

Threat:

Cybersecurity risks across networks

Connected logistics platforms depend on large volumes of operational and transportation data. Connected systems may involve carriers, suppliers, warehouses, customers, and third-party technology providers. A security incident affecting one connection could potentially disrupt wider logistics operations. Companies must invest in authentication, encryption, access controls, and continuous monitoring to protect sensitive information. Rising connectivity also increases the number of systems that need to be secured. Persistent cybersecurity concerns could influence technology selection and increase implementation costs.

Covid-19 Impact:

The COVID-19 pandemic exposed weaknesses in traditional supply chain visibility and coordination systems. Logistics companies faced transportation delays, labor shortages, border restrictions, and sudden changes in customer demand. These disruptions increased the need for real-time information on shipments, inventory, and transportation capacity. Digital logistics platforms helped companies monitor changing conditions and coordinate operations remotely. The crisis also encouraged businesses to reduce dependence on manual tracking and fragmented communication processes. As supply chains recovered, investment in digital visibility and connected logistics technologies gained greater importance.

The freight management platforms segment is expected to be the largest during the forecast period

The freight management platforms segment is expected to account for the largest market share during the forecast period as businesses seek centralized tools to manage increasingly complex transportation operations. These platforms help companies coordinate shipments, carriers, routes, freight costs, and delivery schedules. Integration with real-time tracking systems provides greater visibility into shipment progress. Businesses can also use platform data to identify transportation inefficiencies and improve resource utilization. Growing freight volumes are increasing the need for automated planning and execution tools. Integration with enterprise and warehouse systems is further expanding the usefulness of freight management platforms.

The predictive operations segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the predictive operations segment is predicted to witness the highest growth rate due to increasing demand for proactive logistics decision-making. Predictive systems can analyze historical and real-time data to identify potential transportation disruptions. Companies can use these insights to anticipate delays, capacity shortages, and changing delivery conditions. Predictive analytics can also support better fleet allocation and route planning. Integration with AI and machine learning is improving the accuracy of operational forecasts. Logistics providers are increasingly moving from reactive responses toward early intervention strategies. This shift is expected to accelerate adoption of predictive operations solutions.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share owing to strong digital logistics adoption and advanced transportation infrastructure. The United States has a large freight transportation ecosystem with extensive use of fleet and supply chain technologies. Logistics providers are increasingly investing in real-time tracking, freight management, and predictive analytics. Strong adoption of cloud-based enterprise systems also supports integration with connected logistics platforms. The presence of major technology providers is contributing to continued innovation in the regional market. E-commerce growth is further increasing demand for shipment visibility and faster delivery coordination.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by expanding logistics networks and rapid digital transformation. Countries such as China, India, Japan, and South Korea are investing heavily in transportation and supply chain technologies. Growing e-commerce activity is increasing the need for real-time shipment tracking and efficient delivery management. Manufacturers are also adopting connected logistics solutions to improve coordination across regional and international supply chains. Cloud platforms and mobile technologies are making digital logistics tools more accessible to smaller operators. Investments in smart ports, warehouses, and transportation infrastructure are creating additional opportunities.

Key players in the market

Some of the key players in Connected Logistics Platforms Market include SAP SE, Oracle Corporation, IBM Corporation, Microsoft Corporation, Manhattan Associates, Inc., Descartes Systems Group Inc., E2open Parent Holdings, Inc., Kinaxis Inc., Trimble Inc., Samsara Inc., Geotab Inc., Project44, FourKites, Inc., WiseTech Global Limited and Korber AG.

Key Developments:

In August 2026, project44 introduced its next-generation supply chain "World Model" architecture alongside updates to its Movement platform. The dynamic AI engine simulates global trade disruptions, port congestion ripples, and carrier adjustments in real time, delivering precise ETAs across multi-modal freight networks.

In March 2026, IBM Corporation deployed specialized watsonx AI models within its healthcare data analytics ecosystem to analyze multi-modal neuro-imaging and cognitive dataset streams. The cloud system assists clinical researchers in identifying digital biomarkers for complex neurodevelopmental and neurodegenerative trajectories.

Platform Functions Covered:

  • Fleet Management Platforms
  • Freight Management Platforms
  • Warehouse Management Platforms
  • Asset Management Platforms
  • Supply Chain Visibility Platforms
  • Other Platform Functions

Data Integrations Covered:

  • Enterprise System Integration
  • Carrier System Integration
  • IoT Device Integration
  • Telematics Integration
  • External Data Integration
  • Other Data Integration

Connectivity Models Covered:

  • Cellular Connectivity
  • Satellite Connectivity
  • Short-Range Wireless Connectivity
  • LPWAN Connectivity
  • Hybrid Connectivity
  • Other Connectivity Models

Operating Models Covered:

  • Real-Time Operations
  • Predictive Operations
  • Automated Operations
  • Collaborative Operations
  • Exception-Driven Operations
  • Other Operating Models

End Users Covered:

  • Shippers
  • Third-Party Logistics Providers
  • Freight Carriers
  • Warehouse Operators
  • Distributors
  • Other End Users

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Connected Logistics Platforms Market, By Platform Function

  • 5.1 Fleet Management Platforms
  • 5.2 Freight Management Platforms
  • 5.3 Warehouse Management Platforms
  • 5.4 Asset Management Platforms
  • 5.5 Supply Chain Visibility Platforms
  • 5.6 Other Platform Functions

6 Global Connected Logistics Platforms Market, By Data Integration

  • 6.1 Enterprise System Integration
  • 6.2 Carrier System Integration
  • 6.3 IoT Device Integration
  • 6.4 Telematics Integration
  • 6.5 External Data Integration
  • 6.6 Other Data Integration

7 Global Connected Logistics Platforms Market, By Connectivity Model

  • 7.1 Cellular Connectivity
  • 7.2 Satellite Connectivity
  • 7.3 Short-Range Wireless Connectivity
  • 7.4 LPWAN Connectivity
  • 7.5 Hybrid Connectivity
  • 7.6 Other Connectivity Models

8 Global Connected Logistics Platforms Market, By Operating Model

  • 8.1 Real-Time Operations
  • 8.2 Predictive Operations
  • 8.3 Automated Operations
  • 8.4 Collaborative Operations
  • 8.5 Exception-Driven Operations
  • 8.6 Other Operating Models

9 Global Connected Logistics Platforms Market, By End User

  • 9.1 Shippers
  • 9.2 Third-Party Logistics Providers
  • 9.3 Freight Carriers
  • 9.4 Warehouse Operators
  • 9.5 Distributors
  • 9.6 Other End Users

10 Global Connected Logistics Platforms Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 SAP SE
  • 13.2 Oracle Corporation
  • 13.3 IBM Corporation
  • 13.4 Microsoft Corporation
  • 13.5 Manhattan Associates, Inc.
  • 13.6 Descartes Systems Group Inc.
  • 13.7 E2open Parent Holdings, Inc.
  • 13.8 Kinaxis Inc.
  • 13.9 Trimble Inc.
  • 13.10 Samsara Inc.
  • 13.11 Geotab Inc.
  • 13.12 Project44
  • 13.13 FourKites, Inc.
  • 13.14 WiseTech Global Limited
  • 13.15 Korber AG

List of Tables

  • Table 1 Global Connected Logistics Platforms Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Connected Logistics Platforms Market, By Platform Function (2023-2034) ($MN)
  • Table 3 Global Connected Logistics Platforms Market, By Fleet Management Platforms (2023-2034) ($MN)
  • Table 4 Global Connected Logistics Platforms Market, By Freight Management Platforms (2023-2034) ($MN)
  • Table 5 Global Connected Logistics Platforms Market, By Warehouse Management Platforms (2023-2034) ($MN)
  • Table 6 Global Connected Logistics Platforms Market, By Asset Management Platforms (2023-2034) ($MN)
  • Table 7 Global Connected Logistics Platforms Market, By Supply Chain Visibility Platforms (2023-2034) ($MN)
  • Table 8 Global Connected Logistics Platforms Market, By Other Platform Functions (2023-2034) ($MN)
  • Table 9 Global Connected Logistics Platforms Market, By Data Integration (2023-2034) ($MN)
  • Table 10 Global Connected Logistics Platforms Market, By Enterprise System Integration (2023-2034) ($MN)
  • Table 11 Global Connected Logistics Platforms Market, By Carrier System Integration (2023-2034) ($MN)
  • Table 12 Global Connected Logistics Platforms Market, By IoT Device Integration (2023-2034) ($MN)
  • Table 13 Global Connected Logistics Platforms Market, By Telematics Integration (2023-2034) ($MN)
  • Table 14 Global Connected Logistics Platforms Market, By External Data Integration (2023-2034) ($MN)
  • Table 15 Global Connected Logistics Platforms Market, By Other Data Integration (2023-2034) ($MN)
  • Table 16 Global Connected Logistics Platforms Market, By Connectivity Model (2023-2034) ($MN)
  • Table 17 Global Connected Logistics Platforms Market, By Cellular Connectivity (2023-2034) ($MN)
  • Table 18 Global Connected Logistics Platforms Market, By Satellite Connectivity (2023-2034) ($MN)
  • Table 19 Global Connected Logistics Platforms Market, By Short-Range Wireless Connectivity (2023-2034) ($MN)
  • Table 20 Global Connected Logistics Platforms Market, By LPWAN Connectivity (2023-2034) ($MN)
  • Table 21 Global Connected Logistics Platforms Market, By Hybrid Connectivity (2023-2034) ($MN)
  • Table 22 Global Connected Logistics Platforms Market, By Other Connectivity Models (2023-2034) ($MN)
  • Table 23 Global Connected Logistics Platforms Market, By Operating Model (2023-2034) ($MN)
  • Table 24 Global Connected Logistics Platforms Market, By Real-Time Operations (2023-2034) ($MN)
  • Table 25 Global Connected Logistics Platforms Market, By Predictive Operations (2023-2034) ($MN)
  • Table 26 Global Connected Logistics Platforms Market, By Automated Operations (2023-2034) ($MN)
  • Table 27 Global Connected Logistics Platforms Market, By Collaborative Operations (2023-2034) ($MN)
  • Table 28 Global Connected Logistics Platforms Market, By Exception-Driven Operations (2023-2034) ($MN)
  • Table 29 Global Connected Logistics Platforms Market, By Other Operating Models (2023-2034) ($MN)
  • Table 30 Global Connected Logistics Platforms Market, By End User (2023-2034) ($MN)
  • Table 31 Global Connected Logistics Platforms Market, By Shippers (2023-2034) ($MN)
  • Table 32 Global Connected Logistics Platforms Market, By Third-Party Logistics Providers (2023-2034) ($MN)
  • Table 33 Global Connected Logistics Platforms Market, By Freight Carriers (2023-2034) ($MN)
  • Table 34 Global Connected Logistics Platforms Market, By Warehouse Operators (2023-2034) ($MN)
  • Table 35 Global Connected Logistics Platforms Market, By Distributors (2023-2034) ($MN)
  • Table 36 Global Connected Logistics Platforms Market, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.