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市場調查報告書
商品編碼
1544670
2024-2032年物流4.0市場、機會、成長動力、產業趨勢分析與預測Logistics 4.0 Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032 |
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由於人工智慧、物聯網和機器人等技術的採用，加上即時追蹤的需求，全球物流4.0市場從2024年到2032年將錄得13.6%的複合年成長率。人工智慧支援決策和預測分析；物聯網促進無縫連接和資料交換，機器人技術提高自動化和營運效率。
對即時追蹤的需求推動了先進監控系統的採用，確保供應鏈的透明度和回應能力。這些技術進步簡化了物流、提高了準確性、降低了成本並推動了市場成長。 2022 年 6 月，雷諾集團和 Atos 推出了 ID@scale，這是一項旨在收集廣泛製造資料的服務。該措施不僅促進工業 4.0 的採用，還支持企業向現代工業實踐進行數位轉型。
這些舉措強調了先進的資料收集和分析在推動數位變革方面的重要性。它們強調了利用巨量資料和工業 4.0 進步來完善供應鏈、加強決策和最佳化製造、推動物流系統向前發展的更廣泛趨勢。
物流 4.0 格局按組件、部署模式、技術、組織規模、運輸方式、最終用戶產業和地區進行分類。
到 2032 年，由於全球航運無與倫比的速度和效率，航空公司部門有望顯著成長。航空公司提供快速交付，這對於時間敏感和高價值的物品至關重要。自動化和即時追蹤等技術進步簡化了航空貨運業務，並使航空貨運業務更具成本效益。隨著人們對航空貨運數位轉型和創新的關注日益加深，該部門已準備好滿足當今快節奏的全球市場對快速物流不斷成長的需求。
到 2032 年，在網上購物的繁榮和對快速、可靠的交付的需求的推動下，零售和電子商務行業將在物流 4.0 行業中佔據顯著佔有率。數位零售的興起加大了對高效、精通技術的物流的需求，以管理大量訂單並確保及時履行。自動化倉儲、人工智慧驅動的供應鏈監督和先進的最後一哩交付等創新正在提高物流效率和可擴展性，推動該領域的擴張。
到 2032 年，由於其充滿活力的經濟成長和廣闊的製造業格局，亞太地區預計將在物流 4.0 市場中保持重要佔有率。該地區物流營運中人工智慧、物聯網和自動化等尖端技術的迅速採用，不僅簡化了供應鏈，還降低了營運成本。此外，蓬勃發展的電子商務格局和不斷成長的跨境貿易放大了對最先進物流解決方案的需求。隨著重大基礎設施投資和技術進步，亞太地區鞏固了其作為物流 4.0 領域關鍵參與者的角色。
目錄
第 1 章：方法與範圍
第 2 章：執行摘要
第 3 章：產業洞察
- 產業生態系統分析
- 供應商格局
- 感測器和設備提供者
- 連線和網路供應商
- 數據分析和軟體提供商
- 系統整合商
- 物流服務商
- 利潤率分析
- 技術和創新格局
- 專利分析
- 重要新聞和舉措
- 監管環境
- 衝擊力
- 成長動力
- 擴大電子商務
- 物聯網和互聯設備的進步
- 採用巨量資料和分析
- 人工智慧 (AI) 和機器學習 (ML) 的整合
- 成長動力
- 產業陷阱與挑戰
- 資料隱私和安全問題
- 整合的複雜性
- 成長潛力分析
- 波特的分析
- PESTEL分析
第 4 章：競爭格局
- 介紹
- 公司市佔率分析
- 競爭定位矩陣
- 戰略展望矩陣
第 5 章：市場估計與預測：按技術分類，2021-2032 年
- 主要趨勢
- 物聯網 (IoT)
- 巨量資料分析
- 人工智慧（AI）
- 機器人和自動化
- 自動駕駛汽車
- 區塊鏈技術
- 其他
第 6 章：市場估計與預測：按組成部分，2021-2032 年
- 主要趨勢
- 硬體
- 感測器和執行器
- RFID 和條碼掃描儀
- GPS裝置
- 機器人系統
- 軟體
- 車隊管理系統 (FMS)
- 倉庫管理系統（WMS）
- 運輸管理系統（TMS）
- 訂單管理系統（OMS）
- 服務
- 諮詢服務
- 系統整合與部署
- 維護與支援
第 7 章：市場估計與預測：按部署模式，2021-2032 年
- 主要趨勢
- 基於雲端
- 本地
第 8 章：市場估計與預測：按組織規模，2021-2032 年
- 主要趨勢
- 大型企業
- 中小企業 (SME)
第 9 章：市場估計與預測：按運輸方式，2021-2032 年
- 主要趨勢
- 道路
- 鐵路
- 航空
- 水路
第 10 章：市場估計與預測：按最終用戶產業，2021-2032 年
- 主要趨勢
- 零售及電子商務
- 製造業
- 衛生保健
- 汽車
- 食品和飲料
- 能源和公用事業
- 航太和國防
- 其他
第 11 章：市場估計與預測：按地區分類，2021-2032 年
- 主要趨勢
- 北美洲
- 美國
- 加拿大
- 歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 俄羅斯
- 北歐人
- 歐洲其他地區
- 亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 東南亞
- 亞太地區其他地區
- 拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地區
- MEA
- 南非
- 沙烏地阿拉伯
- 阿拉伯聯合大公國
- MEA 的其餘部分
第 12 章：公司簡介
- DHL Supply Chain
- Kuehne + Nagel
- XPO Logistics
- C.H. Robinson
- FedEx Corporation
- United Parcel Service (UPS)
- DB Schenker
- Nippon Express
- GEFCO
- Expeditors International
- J.B. Hunt Transport Services
- Ryder System
- DSV Panalpina
- TNT Express
- CEVA Logistics
- Agility Logistics
- Sinotrans Limited
- Yusen Logistics
- Geodis
- Kintetsu World Express
Global Logistics 4.0 Market will record a 13.6% CAGR from 2024 to 2032 due to the adoption of technologies like AI, IoT, and robotics, coupled with the demand for real-time tracking. AI bolsters decision-making and predictive analytics; IoT facilitates seamless connectivity and data exchange, and robotics enhances automation and operational efficiency.
The demand for real-time tracking propels the adoption of advanced monitoring systems, ensuring supply chain transparency and responsiveness. These technological advancements streamline logistics, boost accuracy, cut costs, and drive market growth. In June 2022, Renault Group and Atos launched ID@scale, a service aimed at gathering extensive manufacturing data. This initiative not only promotes Industry 4.0 adoption but also supports companies in their digital transformation towards modern industrial practices.
Such moves emphasize the importance of advanced data collection and analysis in driving digital change. They highlight a broader trend of harnessing big data and Industry 4.0 advancements to refine supply chains, enhance decision-making, and optimize manufacturing, pushing logistics systems forward.
The logistics 4.0 landscape is categorized by components, deployment modes, technologies, organizational sizes, transportation methods, end-user industries, and regions.
By 2032, the airways segment is poised for significant growth, thanks to its unmatched speed and efficiency in global shipping. Airlines provide swift delivery, vital for time-sensitive and high-value items. Technological advancements, like automation and real-time tracking, have streamlined and made air cargo operations more cost-effective. As the focus sharpens on digital transformation and innovation in air freight, the segment stands ready to cater to the rising demand for swift logistics in today's fast-paced global market.
The retail and e-commerce sector will hold a notable share of logistics 4.0 industry by 2032, driven by the boom in online shopping and the demand for swift, dependable delivery. The rise of digital retailing amplifies the need for efficient, tech-savvy logistics to manage high order volumes and ensure prompt fulfillment. Innovations like automated warehousing, AI-driven supply chain oversight, and advanced last-mile delivery are boosting logistics efficiency and scalability, fueling the segment's expansion.
By 2032, the Asia Pacific region is expected to maintain a significant stake in the logistics 4.0 market, thanks to its vibrant economic growth and vast manufacturing landscape. The swift embrace of cutting-edge technologies like AI, IoT, and automation in the region's logistics operations is not only streamlining supply chains but also trimming operational costs. Additionally, the thriving e-commerce landscape and rising cross-border trade amplify the demand for state-of-the-art logistics solutions. With major infrastructure investments and tech advancements, APAC cements its role as a key player in the logistics 4.0 arena.
Table of Contents
Chapter 1 Methodology and Scope
- 1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
- 1.2 Base estimates and calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimates
- 1.3 Forecast model
- 1.4 Primary research and validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
- 1.5 Market definitions
Chapter 2 Executive Summary
- 2.1 Industry 360° synopsis, 2021-2032
Chapter 3 Industry Insights
- 3.1 Industry ecosystem analysis
- 3.2 Supplier landscape
- 3.2.1 Sensor and device providers
- 3.2.2 Connectivity and network providers
- 3.2.3 Data analytics and software providers
- 3.2.4 System integrators
- 3.2.5 Logistics service providers
- 3.3 Profit margin analysis
- 3.4 Technology and innovation landscape
- 3.5 Patent analysis
- 3.6 Key news and initiatives
- 3.7 Regulatory landscape
- 3.8 Impact forces
- 3.8.1 Growth drivers
- 3.8.1.1 Expansion of E-commerce
- 3.8.1.2 Advancement in IoT and connected devices
- 3.8.1.3 Adoption of big data and analytics
- 3.8.1.4 Integration of artificial intelligence (AI) and machine learning (ML)
- 3.8.1 Growth drivers
- 3.9 Industry pitfalls and challenges
- 3.9.1.1 Data privacy and security concerns
- 3.9.1.2 Complexity in integration
- 3.10 Growth potential analysis
- 3.11 Porter's analysis
- 3.12 PESTEL analysis
Chapter 4 Competitive Landscape, 2023
- 4.1 Introduction
- 4.2 Company market share analysis
- 4.3 Competitive positioning matrix
- 4.4 Strategic outlook matrix
Chapter 5 Market Estimates and Forecast, By Technology, 2021-2032 ($Bn)
- 5.1 Key trends
- 5.2 Internet of things (IoT)
- 5.3 Big data analytics
- 5.4 Artificial intelligence (AI)
- 5.5 Robotics and automation
- 5.6 Autonomous vehicles
- 5.7 Blockchain technology
- 5.8 Others
Chapter 6 Market Estimate and Forecast, By Component, 2021-2032 ($Bn)
- 6.1 Key trends
- 6.2 Hardware
- 6.2.1 Sensors and Actuators
- 6.2.2 RFID and barcode scanners
- 6.2.3 GPS devices
- 6.2.4 Robotic systems
- 6.3 Software
- 6.3.1 Fleet management systems (FMS)
- 6.3.2 Warehouse management systems (WMS)
- 6.3.3 Transportation management systems (TMS)
- 6.3.4 Order management systems (OMS)
- 6.4 Services
- 6.4.1 Consulting services
- 6.4.2 System integration and deployment
- 6.4.3 Maintenance and support
Chapter 7 Market Estimates and Forecast, By Deployment Mode, 2021-2032 ($Bn)
- 7.1 Key trends
- 7.2 Cloud-based
- 7.3 On-premises
Chapter 8 Market Estimates and Forecast, By Organization Size, 2021-2032 ($Bn)
- 8.1 Key trends
- 8.2 Large enterprises
- 8.3 Small and medium-sized enterprises (SMEs)
Chapter 9 Market Estimates and Forecast, By Transportation Mode, 2021-2032 ($Bn)
- 9.1 Key trends
- 9.2 Roadways
- 9.3 Railways
- 9.4 Airways
- 9.5 Waterways
Chapter 10 Market Estimates and Forecast, By End-User Industry, 2021-2032 ($Bn)
- 10.1 Key trends
- 10.2 Retail and E-commerce
- 10.3 Manufacturing
- 10.4 Healthcare
- 10.5 Automotive
- 10.6 Food and beverage
- 10.7 Energy and utilities
- 10.8 Aerospace and defense
- 10.9 Others
Chapter 11 Market Estimates and Forecast, By Region, 2021-2032 ($Bn)
- 11.1 Key trends
- 11.2 North America
- 11.2.1 U.S.
- 11.2.2 Canada
- 11.3 Europe
- 11.3.1 UK
- 11.3.2 Germany
- 11.3.3 France
- 11.3.4 Italy
- 11.3.5 Spain
- 11.3.6 Russia
- 11.3.7 Nordics
- 11.3.8 Rest of Europe
- 11.4 Asia Pacific
- 11.4.1 China
- 11.4.2 India
- 11.4.3 Japan
- 11.4.4 South Korea
- 11.4.5 ANZ
- 11.4.6 Southeast Asia
- 11.4.7 Rest of Asia Pacific
- 11.5 Latin America
- 11.5.1 Brazil
- 11.5.2 Mexico
- 11.5.3 Argentina
- 11.5.4 Rest of Latin America
- 11.6 MEA
- 11.6.1 South Africa
- 11.6.2 Saudi Arabia
- 11.6.3 UAE
- 11.6.4 Rest of MEA
Chapter 12 Company Profiles
- 12.1 DHL Supply Chain
- 12.2 Kuehne + Nagel
- 12.3 XPO Logistics
- 12.4 C.H. Robinson
- 12.5 FedEx Corporation
- 12.6 United Parcel Service (UPS)
- 12.7 DB Schenker
- 12.8 Nippon Express
- 12.9 GEFCO
- 12.10 Expeditors International
- 12.11 J.B. Hunt Transport Services
- 12.12 Ryder System
- 12.13 DSV Panalpina
- 12.14 TNT Express
- 12.15 CEVA Logistics
- 12.16 Agility Logistics
- 12.17 Sinotrans Limited
- 12.18 Yusen Logistics
- 12.19 Geodis
- 12.20 Kintetsu World Express
