市場調查報告書
商品編碼
1596837
智慧倉庫市場規模、佔有率、成長分析:按組件、按部署、按技術、按應用、按地區 - 行業預測,2024-2031 年Smart Warehousing Market Size, Share, Growth Analysis, By component, By Deployment, By Technology, By Application, By Region - Industry Forecast 2024-2031 |
2022年全球智慧倉庫市場規模將為209.4億美元,從2023年的239.1億美元成長到2031年的493.3億美元,在預測期間(2024-2031年)預計複合年成長率為14.2%。
隨著人工智慧、物聯網 (IoT) 和自動導引車等先進技術的不斷採用,智慧倉庫市場正在顯著成長。這些技術創新使大型倉庫能夠透過自動化傳統上由人類執行的日常任務並減少人為錯誤來提高業務效率和生產力。消費者對快速產品交付的需求不斷成長,特別是在電子商務繁榮的推動下,進一步加速了對現代智慧倉庫解決方案的需求。此外,條碼掃描應用程式、無線射頻識別和分析等最尖端科技的整合正在將傳統的倉庫業務轉變為更簡化和高效的流程。隨著市場需求的增加和公司尋求最佳化其供應鏈網路,採用這些技術已成為成功的關鍵。這種轉變不僅最大限度地減少了操作錯誤,而且符合當今消費者對行動主導的期望。總體而言,在持續的技術進步和優先考慮效率和客戶滿意度的強大電子商務的支持下,快速成長的市場格局可能會繼續上升。
Global Smart Warehousing Market size was valued at USD 20.94 billion in 2022 and is poised to grow from USD 23.91 billion in 2023 to USD 49.33 billion by 2031, growing at a CAGR of 14.2% during the forecast period (2024-2031).
The smart warehousing market is experiencing significant growth, driven by the increasing adoption of advanced technologies such as artificial intelligence, the Internet of Things (IoT), and automated guided vehicles. These innovations enable large-scale warehouses to enhance operational efficiency and productivity by automating routine tasks traditionally performed by human workers, thereby reducing human errors. The rise in consumer demand for prompt product delivery, particularly fueled by the e-commerce boom, has further accelerated the need for modern smart warehouse solutions. Additionally, the integration of cutting-edge technology such as barcode scanning apps, radio frequency identification, and analytics is transforming traditional warehouse operations into more streamlined and efficient processes. As companies seek to optimize their supply chain networks amid growing market demands, the emphasis on adopting these technologies has become crucial for success. This shift not only minimizes operational errors but also aligns with the mobile-driven expectations of today's consumers. Overall, the burgeoning smart warehousing market is set to continue its upward trajectory, supported by ongoing technological advancements and a robust e-commerce landscape that prioritizes efficiency and customer satisfaction.
Top-down and bottom-up approaches were used to estimate and validate the size of the Smart Warehousing market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Smart Warehousing Market Segmental Analysis
Global Smart Warehousing Market is segmented by Component, by Deployment, by Technology, by application, by Warehouse Size, by Vertical and by Region. Based on component, the market is segmented into Hardware, Software and services. Based on Deployment, the market is segmented into Cloud, On-premises. Based on Technology, the market is segmented into IoT, Robotics and Automation, AI and Analytics, Networking and Communication, AR and VR, Others. Based on application, the market is segmented into Transport Management, Inventory & Order Management, Yard & Shipping Management, Labour Management, Asset Tracking, Predictive Analytics and Others. Based on Warehouse Size, the market is segmented into Small, Medium, Large. Based on Vertical, the market is segmented into Transportation & Logistics, Retail & E-commerce, Manufacturing, Healthcare, Energy and Utilities, Automotive, Food & Beverages, Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Driver of the Smart Warehousing Market
The Smart Warehousing market is significantly driven by its pivotal role in enhancing supply chain efficiency, particularly during the forecast period. Warehouses form the backbone of the supply chain, and the effectiveness of their operations, such as order picking, inventory management, and asset tracking, is often hindered by labor-intensive processes. By integrating mobile-based technologies and applications, warehouses can streamline operations, leading to improved operational performance and financial outcomes. The widespread use of smartphones and tablets equips warehouse staff and logistics partners with essential tools and services, enabling features such as barcode scanning for inventory management, real-time shipment tracking, and instant access to shipping information, all of which empower warehouse managers to optimize their workflows effectively.
Restraints in the Smart Warehousing Market
The smart warehousing market faces notable challenges that may impede its growth, primarily due to the limited large-scale adoption stemming from a lack of governance. The industry's fragmentation underscores the urgent need for an established Internet of Things (IoT) standard specific to logistics. While global transport and logistics companies are striving to enhance supply chain efficiency to maintain revenue and viability, the absence of a cohesive governing authority across diverse sectors creates confusion. Establishing uniform governance could streamline operations; however, achieving high performance relies on significant advancements in integrated systems and connected devices, which remain a hurdle in the sector.
Market Trends of the Smart Warehousing Market
The Smart Warehousing market is experiencing significant growth as organizations embrace "Warehouse 4.0," integrating digital and physical systems to enhance efficiency across all operations. This trend is driven by the adoption of voice-based and screen-directed inventory picking methods that streamline training for new hires. Additionally, the rise of multi-modal picking techniques, which leverage mobile devices, further optimizes logistics processes. By harnessing technologies such as IoT, big data analytics, augmented reality, and robotics, businesses can develop sophisticated warehouse automation systems that improve productivity and reduce operational costs. This transformation reflects a broader shift towards digitization and automation, positioning smart warehousing as a crucial component of modern supply chain management.