市場調查報告書
商品編碼
1565168
全球連網型物流市場Connected Logistics |
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到 2030 年,全球連網型物流市場將達到 1,243 億美元
2023年全球連網型物流市場預估為349億美元,預估至2030年將達1,243億美元,2023-2030年分析期間複合年成長率為19.9%。道路運輸是本報告分析的細分市場之一,預計複合年成長率為 19.3%,到分析期結束時將達到 564 億美元。分析期內,軌道運輸領域的複合年成長率預計為 20.7%。
美國市場預計成長93億美元,中國複合年成長率18.5%
到 2023 年,美國連網型物流市場預計將達到 93 億美元。中國作為全球第二大經濟體,預計2030年市場規模將達184億美元,2023-2030年分析期間複合年成長率為18.5%。其他值得注意的區域市場包括日本和加拿大,預計在分析期間複合年成長率分別為 18.0% 和 17.1%。在歐洲,德國的複合年成長率預計約為 14.3%。
全球連網型物流市場-主要趨勢與促進因素總結
連網型物流將如何改變供應鏈管理?
連網型物流透過將物聯網(IoT)、人工智慧(AI)、巨量資料和雲端運算等先進技術融入物流業務中,正在徹底改變供應鏈管理。該技術可在供應鏈的各個階段實現即時追蹤、自動化和資料主導的決策,為企業提供前所未有的物流流程視覺性。例如,嵌入貨櫃和運輸車輛中的物聯網感測器可以持續更新運輸途中貨物的位置、狀況和狀態。這使得企業能夠監控溫度敏感產品、追蹤運輸延誤並動態最佳化交付路線。此外,連網型物流透過自動化和機器人技術增強了倉庫業務,從而實現更快的揀選、包裝和庫存管理。人工智慧驅動的預測分析使物流公司能夠預測需求、防止缺貨並簡化業務。這些技術的整合將使物流從被動的流程轉變為主動的、資料主導的能力,這將幫助企業降低成本、提高業務效率並滿足消費者對更快、更可靠的交付的期望。
即時資料在推動連網型物流發揮什麼作用?
即時資料是連網型物流的支柱,提供您做出明智決策、最佳化營運和快速回應故障所需的資訊。憑藉即時捕獲和分析大量資料的能力,公司可以獲得對其供應鏈各個方面的可行見解。例如,配備 GPS 和遠端資訊處理系統的連網型車輛可傳輸即時位置資料,可用於最佳化送貨路線、降低消費量並提高準時交貨率。除了位置追蹤之外,即時資料還可以監控貨物的狀況,以確保生鮮產品和敏感的貨物在最佳條件下運輸。例如,如果內部溫度偏離安全水平,冷藏車上的溫度感測器可以向物流經理發出警報,以便他們立即採取糾正措施。此外,相關人員(相關人員、承運商、倉庫、零售商等)之間的即時資料共用創建了更同步和透明的供應鏈。這種可見性的提升可以改善協作,減少瓶頸和溝通不良的可能性,並最終實現更順暢、更有效率的物流流程。隨著物流公司不斷採用更複雜的資料分析工具,即時資訊的使用將不斷擴大,進一步提高供應鏈的準確性和敏捷性。
新興科技如何形塑連網型物流的未來?
區塊鏈、人工智慧和自動駕駛汽車等新興技術在塑造連網型物流的未來方面發揮關鍵作用。尤其是區塊鏈技術,由於其能夠提供安全、透明的資料共用機制,在物流行業中越來越受到關注。透過創建不可變的交易和運輸分類賬,區塊鏈使供應鏈中的所有相關人員存取可信賴的即時訊息,從而降低詐欺、延誤和糾紛的風險。這種透明度增加了供應商、托運人和客戶之間的信任。同時,人工智慧可以實現車輛和機械的預測性維護,幫助物流公司最大限度地減少停機時間並確保平穩運作。人工智慧驅動的系統還可以改善需求預測,使企業能夠根據需求預測調整存量基準,減少庫存過剩和缺貨。包括無人機和自動駕駛卡車在內的自動駕駛車輛也為勞動力短缺提供了潛在的解決方案,減少人為錯誤並實現更快、更具成本效益的交付。這些進步正在推動物流創新,企業加大對連網型技術的投資,以在快速發展的市場中保持競爭力。
是什麼推動了連網型物流市場的成長?
連網型物流市場的成長是由與技術進步、不斷變化的行業需求和消費行為行為變化密切相關的幾個因素所推動的。首先,物聯網設備和雲端運算的快速採用使物流公司更容易實施提供即時追蹤和自動化的連網型解決方案。這些技術降低了進入成本,甚至使中小型企業也能從連網型物流平台中受益。其次,電子商務的興起極大地增加了對更快、更可靠的交付的需求,迫使物流提供者採用先進技術來最佳化最後一英里的交付並提高客戶滿意度。另一個關鍵促進因素是對供應鏈透明度和課責的需求不斷成長,特別是在生鮮產品、藥品和其他敏感產品的行業。消費者和監管機構要求更了解產品的來源以及運輸過程中的處理方式,而連網型物流提供了滿足這些期望的工具。此外,隨著公司尋找透過更有效的路線和能源使用來減少排放、燃料消費量和廢棄物的方法,對永續性的關注正在加速採用連網型物流解決方案。最後,在最佳化物流營運中擴大使用資料分析和人工智慧,使企業能夠預測中斷、管理風險並維持有彈性的供應鏈,使連網型物流成為現代供應鏈管理的重要組成部分。
Global Connected Logistics Market to Reach US$124.3 Billion by 2030
The global market for Connected Logistics estimated at US$34.9 Billion in the year 2023, is expected to reach US$124.3 Billion by 2030, growing at a CAGR of 19.9% over the analysis period 2023-2030. Roadway Transportation, one of the segments analyzed in the report, is expected to record a 19.3% CAGR and reach US$56.4 Billion by the end of the analysis period. Growth in the Railway Transportation segment is estimated at 20.7% CAGR over the analysis period.
The U.S. Market is Estimated at US$9.3 Billion While China is Forecast to Grow at 18.5% CAGR
The Connected Logistics market in the U.S. is estimated at US$9.3 Billion in the year 2023. China, the world's second largest economy, is forecast to reach a projected market size of US$18.4 Billion by the year 2030 trailing a CAGR of 18.5% over the analysis period 2023-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 18.0% and 17.1% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 14.3% CAGR.
Global Connected Logistics Market - Key Trends and Drivers Summarized
How Is Connected Logistics Transforming Supply Chain Management?
Connected logistics is revolutionizing supply chain management by integrating advanced technologies like the Internet of Things (IoT), artificial intelligence (AI), big data, and cloud computing into logistics operations. This technology enables real-time tracking, automation, and data-driven decision-making across various stages of the supply chain, providing businesses with unprecedented visibility into their logistics processes. For example, IoT sensors embedded in shipping containers or delivery vehicles provide continuous updates on the location, condition, and status of goods in transit. This allows companies to monitor temperature-sensitive products, track shipment delays, and optimize delivery routes on the fly. Additionally, connected logistics enhances warehouse operations through automation and robotics, enabling faster picking, packing, and inventory management. With predictive analytics powered by AI, logistics companies can forecast demand, prevent stockouts, and streamline operations for greater efficiency. The integration of these technologies transforms logistics from a reactive process to a proactive, data-driven function, helping businesses reduce costs, improve operational efficiency, and meet growing consumer expectations for faster and more reliable deliveries.
What Role Does Real-Time Data Play in Enhancing Connected Logistics?
Real-time data is the backbone of connected logistics, providing the necessary information to make informed decisions, optimize operations, and respond swiftly to disruptions. The ability to capture and analyze vast amounts of data in real time enables companies to gain actionable insights into every aspect of their supply chain. For instance, connected vehicles equipped with GPS and telematics systems transmit real-time location data, which can be used to optimize delivery routes, reducing fuel consumption and improving on-time delivery rates. In addition to location tracking, real-time data allows for monitoring the conditions of goods, ensuring that perishable or sensitive items are transported under optimal conditions. For instance, temperature sensors in refrigerated trucks can alert logistics managers if the internal temperature deviates from safe levels, allowing for immediate corrective actions. Furthermore, real-time data sharing between stakeholders—such as suppliers, carriers, warehouses, and retailers—creates a more synchronized and transparent supply chain. This heightened level of visibility improves collaboration and reduces the likelihood of bottlenecks or miscommunications, ultimately resulting in a smoother and more efficient logistics process. As logistics companies continue to adopt more sophisticated data analytics tools, the use of real-time information will only grow, further enhancing the precision and agility of supply chains.
How Are Emerging Technologies Shaping the Future of Connected Logistics?
Emerging technologies like blockchain, AI, and autonomous vehicles are playing a pivotal role in shaping the future of connected logistics. Blockchain technology, in particular, is gaining traction in the logistics industry due to its ability to offer secure and transparent data-sharing mechanisms. By creating an immutable ledger of transactions and shipments, blockchain ensures that all parties involved in a supply chain have access to reliable, real-time information, reducing the risks of fraud, delays, and disputes. This level of transparency enhances trust between suppliers, shippers, and customers. Meanwhile, AI is enabling predictive maintenance for vehicles and machinery, helping logistics companies minimize downtime and ensure smooth operations. AI-powered systems also improve demand forecasting, allowing businesses to adjust their inventory levels based on projected demand, reducing excess stock or stockouts. Autonomous vehicles, including drones and self-driving trucks, are also on the horizon, offering potential solutions to labor shortages, reducing human error, and enabling faster, more cost-effective deliveries. These advancements are driving innovation in logistics, with companies increasingly investing in connected technologies to stay competitive in a rapidly evolving market.
What’s Driving the Growth of the Connected Logistics Market?
The growth in the connected logistics market is driven by several factors, all closely tied to technological advancements, evolving industry needs, and shifting consumer behavior. First, the rapid adoption of IoT devices and cloud computing has made it easier for logistics companies to implement connected solutions that offer real-time tracking and automation. These technologies have reduced the cost of entry, allowing even smaller businesses to benefit from connected logistics platforms. Secondly, the rise of e-commerce has dramatically increased the demand for faster and more reliable deliveries, pushing logistics providers to adopt advanced technologies that optimize last-mile delivery and enhance customer satisfaction. Another critical driver is the increasing need for supply chain transparency and accountability, especially in industries dealing with perishable goods, pharmaceuticals, and other sensitive products. Consumers and regulators are demanding better visibility into where products come from and how they are handled during transit, and connected logistics provides the tools to meet these expectations. Furthermore, the focus on sustainability is accelerating the adoption of connected logistics solutions, as companies look for ways to reduce emissions, fuel consumption, and waste through more efficient routing and energy use. Lastly, the increasing use of data analytics and AI in optimizing logistics operations is allowing companies to anticipate disruptions, manage risks, and maintain resilient supply chains, making connected logistics an indispensable part of modern supply chain management.
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