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市場調查報告書
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1405942

智慧倉儲市場規模、佔有率、趨勢分析報告:按組件、按部署、按技術、按應用、按倉庫規模、按行業、按地區、細分市場預測,2023-2030 年

Smart Warehousing Market Size, Share & Trends Analysis Report By Component (Hardware, Software, Services), By Deployment (Cloud, On-premises), By Technology, By Application, By Warehouse Size, By Vertical, By Region, & Segment Forecasts, 2023-2030

出版日期: | 出版商: Grand View Research | 英文 150 Pages | 商品交期: 2-10個工作天內

價格

智慧倉儲市場成長與趨勢:

Grand View Research 的最新報告顯示,到 2030 年,全球智慧倉儲市場預計將達到 579.7 億美元。

預計2023年至2030年該市場將以14.2%的複合年成長率成長。市場成長的推動因素包括各行業對自動化和機器人解決方案的需求不斷成長、網路購物的增加以及對綠色舉措和永續性的日益關注,以盡量減少廢棄物。綠色舉措和對永續性的日益關注極大地影響了倉庫中智慧倉儲解決方案的使用。隨著公司優先考慮環境責任,智慧倉儲技術正在幫助最大限度地減少廢棄物並最佳化資源利用。

智慧倉儲的自動化和數位化可以提高庫存管理效率,減少過剩庫存並最大限度地減少生產過剩對環境的影響。智慧技術可實現準確的需求預測和庫存最佳化,使倉庫業務與實際消費模式保持一致,並消除不必要的浪費。此外,即時監控和資料分析使倉庫能夠識別效率低下的地方,從而實現更永續的做法並減少能源消耗。自動駕駛車輛的引入和最佳化的路線將進一步有助於最大限度地減少智慧倉儲內運輸貨物的碳足跡。總體而言,智慧倉儲解決方案的整合符合更廣泛的永續性目標,可以提高營運效率,減少廢棄物,並為供應鏈業務中的綠色實踐做出貢獻。它為公司提供了以下工具:

此外,多通路分銷網路的出現極大地影響了市場上智慧倉儲解決方案的日益採用。隨著企業跨不同管道(包括線上平台、零售店和直接面對消費者的模式)擴張,供應鏈管理的複雜性正在增加。智慧倉庫解決方案透過提供即時可見性、庫存最佳化、高效訂單履行等,在簡化這些多通路分銷網路內的營運方面發揮關鍵作用。這些技術可實現不同通路的庫存無縫協調和同步,確保準確的存量基準、減少訂單處理時間並提高整體業務效率。對於尋求滿足多通路分銷的動態需求、提供擴充性且敏捷的基礎設施以適應不斷變化的市場趨勢和客戶偏好的企業來說,整合智慧倉儲解決方案已變得至關重要。Masu。

最終,智慧倉儲解決方案的採用是對不斷發展的多通路分銷格局的策略性回應,為公司提供了一種可以提高管理跨不同銷售管道的供應鏈的可見性、回應能力和有效性的工具。

擴增實境(AR)和虛擬實境(VR)技術的採用為市場帶來了巨大的機會。 AR 和 VR 提供先進的視覺化和互動性,使倉庫營運商能夠最佳化業務的各個方面。 AR技術可透過智慧眼鏡或耳機向工人提供即時資訊和視覺提示,從而增強揀貨流程,從而提高準確性和效率。另一方面,VR可用於身臨其境型訓練模擬,讓倉庫員工無需實體設定即可進行真實的訓練場景。這些技術有助於提高工人的生產力、減少錯誤、增強培訓計劃並最終最佳化倉庫業務。隨著技術的成熟,AR和VR在智慧倉儲中的整合不僅會改善現有流程,而且是創建更智慧型、響應迅速、高效的倉庫環境的創新方式,釋放您的潛力。

該市場競爭激烈,有多個主要市場參與者。市場上的知名參與者包括霍尼韋爾國際公司、西門子、斑馬技術公司、IBM公司、甲骨文公司、SAP SE、凱傲集團股份公司、康耐視公司、ABB有限公司、Tecsys公司、Manhattan Associates和PSI Logistics。回覆等這些參與者採用新產品發布等策略來維持競爭優勢。例如,2023年9月,工廠自動化和工業4.0解決方案的領導者Omron Corporation推出了承重能力650公斤的自主移動機器人(AMR)MD-650,這是一款用於零件和物料搬運應用的自主移動機器人。我們擴大了我們的陣容。 MD-650配備獨特的控制技術,在人機協作的生產現場實現安全、平穩的運輸,滿足重物運輸業務對效率日益成長的需求。

智慧倉儲市場報告亮點

  • 2022年,硬體領域佔最大市場佔有率,達到50.1%。這是因為它們在引入自動導引車、機器人系統和物聯網設備等先進技術方面發揮了基礎作用,這些技術有助於顯著節省勞動力,並實現資料主導的決策和倉庫流程最佳化,實現無縫連接。
  • 雲端部署以其無與倫比的可擴展性、經濟高效的訂閱模式、快速部署、遠端存取、自動更新、整合功能和高效的資料分析,為最佳化營運提供了一個敏捷、互聯的平台。預計將在預測中表現出最快的複合年成長率期,因為它為企業提供了豐富的生態系統。
  • 2022 年的市場將由機器人和自動化領域主導。此細分市場的成長歸因於其透過任務自動化和流程簡化顯著提高業務效率的作用。
  • 2022 年,訂單履行產業佔最大市場佔有率,達到 33.9%。這是因為它們透過整合即時追蹤、自動化和高級分析等技術,在最佳化流程、減少錯誤以及確保快速準確的產品交付方面發揮作用。
  • 2022年大型倉庫規模佔最大市場佔有率。大型倉庫非常適合智慧倉儲,因為與管理大量庫存和處理大量訂單相關的擴充性和操作複雜性。
  • 零售和電子商務產業在預測期內複合年成長率最快,達 15.4%。此細分市場的成長歸因於網路購物的快速成長以及快速訂單處理的需求。
  • 北美佔據市場主導地位,2022 年佔 31.8% 的佔有率。這是由於其先進的技術基礎設施和成熟的物流業。

目錄

第1章調查方法和範圍

第 2 章執行摘要

第3章市場變數、趨勢與範圍展望

  • 市場體系展望
  • 智慧倉儲市場價值鏈分析
  • 智慧倉儲市場動態
  • 產業分析-波特五力分析
  • 智慧倉儲市場PESTEL分析

第4章 智慧倉儲市場構成展望

  • 智慧倉儲市場,按組成部分分析和市場佔有率,2022 年和 2030 年
  • 硬體
  • 軟體
  • 服務

第5章 智慧倉儲市場發展展望

  • 智慧倉儲市場,按部署分析和市場佔有率,2022 年和 2030 年
  • 本地

第6章 智慧倉儲市場技術展望

  • 2022 年和 2030 年智慧倉儲市場(按技術分析和市場佔有率)
  • IoT
  • 機器人和自動化
  • 人工智慧和分析
  • 網路和通訊
  • 擴增實境和虛擬實境
  • 其他

第7章 智慧倉儲市場應用展望

  • 智慧倉儲市場,按應用分析和市場佔有率,2022 年和 2030 年
  • 庫存控制
  • 訂單處理
  • 資產管理
  • 預測分析
  • 其他

第8章 智慧倉儲市場倉庫規模展望

  • 智慧倉儲市場,按倉庫規模分析和市場佔有率,2022 年和 2030 年
  • 小的
  • 期間~
  • 大的

第9章 智慧倉儲市場產業展望

  • 2022 年及 2030 年智慧倉儲市場(按產業)
  • 運輸/物流
  • 零售/電子商務
  • 製造業
  • 衛生保健
  • 能源/公共工程
  • 食品與飲品
  • 其他

第10章智慧倉儲市場:區域估算及趨勢分析

  • 2022年及2030年智慧倉儲市場佔有率(按地區)
  • 北美洲
    • 按組成部分,2017-2030
    • 依發展情況,2017-2030
    • 按技術分類,2017-2030
    • 按申請,2017-2030
    • 按倉庫規模分類,2017-2030
    • 按行業分類,2017-2030
    • 美國
    • 加拿大
  • 歐洲
    • 按組成部分,2017-2030
    • 依發展情況,2017-2030
    • 按技術分類,2017-2030
    • 按申請,2017-2030
    • 按倉庫規模分類,2017-2030
    • 按行業分類,2017-2030
    • 英國
    • 德國
    • 法國
  • 亞太地區
    • 按組成部分,2017-2030
    • 依發展情況,2017-2030
    • 按技術分類,2017-2030
    • 按申請,2017-2030
    • 按倉庫規模分類,2017-2030
    • 按行業分類,2017-2030
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲
  • 拉丁美洲
    • 按組成部分,2017-2030
    • 依發展情況,2017-2030
    • 按技術分類,2017-2030
    • 按申請,2017-2030
    • 按倉庫規模分類,2017-2030
    • 按行業分類,2017-2030
    • 巴西
    • 墨西哥
  • 中東/非洲
    • 按組成部分,2017-2030
    • 依發展情況,2017-2030
    • 按技術分類,2017-2030
    • 按申請,2017-2030
    • 按倉庫規模分類,2017-2030
    • 按行業分類,2017-2030
    • 沙烏地阿拉伯王國 (KSA)
    • 阿拉伯聯合大公國
    • 南非

第11章 智慧倉儲市場競爭形勢

  • 主要市場參與企業
    • Honeywell International Inc.
    • Siemens
    • Zebra Technologies Corporation
    • IBM Corporation
    • Oracle Corporation
    • SAP SE
    • KION Group AG
    • Cognex Corporation
    • ABB Ltd.
    • Tecsys, Inc.
    • Manhattan Associates
    • PSI Logistics
    • Reply
  • 2022年主要企業市場佔有率分析
  • 2022 年公司分類/定位分析
  • 策略規劃
    • 擴張
    • 併購
    • 夥伴關係與協作
    • 產品/服務發布
    • 其他
Product Code: GVR-4-68040-162-5

Smart Warehousing Market Growth & Trends:

The global smart warehousing market is anticipated to reach USD 57.97 billion by 2030, according to a new report by Grand View Research, Inc. The market is expected to grow at a CAGR of 14.2% from 2023 to 2030. The market growth is driven by increasing demand for automation and robotics solutions across various industries, the increasing online shopping, and rising focus on the green initiatives and sustainability to minimize waste. The rising focus on green initiatives and sustainability significantly influences the increasing use of smart warehouse solutions in warehouses. As businesses prioritize environmental responsibility, smart warehouse technologies contribute to minimizing waste and optimizing resource utilization.

Automation and digitization within smart warehouses lead to more efficient inventory management, reducing excess stock and minimizing the environmental impact of overproduction. Smart technologies enable precise demand forecasting and inventory optimization, aligning warehouse operations with actual consumption patterns to avoid unnecessary waste. Additionally, real-time monitoring and data analytics empower warehouses to identify inefficiencies, leading to more sustainable practices and reduced energy consumption. The implementation of autonomous vehicles and optimized routing further contributes to minimizing carbon footprints in the transportation of goods within smart warehouses. Overall, the integration of smart warehouse solutions aligns with broader sustainability goals, offering businesses the tools to operate more efficiently, reduce waste, and contribute to environmentally conscious practices in their supply chain operations.

Furthermore, the emergence of multi-channel distribution networks significantly influences the increasing adoption of smart warehouse solutions in the market. As businesses expand their reach across various channels, including online platforms, retail outlets, and direct-to-consumer models, the complexity of supply chain management grows. Smart warehouse solutions play a crucial role in streamlining operations within these multi-channel distribution networks by offering real-time visibility, inventory optimization, and efficient order fulfillment. These technologies enable seamless coordination and synchronization of inventory across diverse channels, ensuring accurate stock levels, reducing order processing times, and enhancing overall operational efficiency. The integration of smart warehouse solutions becomes imperative for businesses seeking to meet the dynamic demands of multi-channel distribution, providing a scalable and agile infrastructure to adapt to changing market trends and customer preferences.

Ultimately, the adoption of smart warehouse solutions is a strategic response to the evolving landscape of multi-channel distribution, offering businesses the tools to enhance visibility, responsiveness, and effectiveness in managing their supply chain across diverse sales channels.

The adoption of augmented reality (AR) and virtual reality (VR) technologies presents a significant opportunity for the market. AR and VR offer advanced visualization and interactive capabilities, allowing warehouse operators to optimize various aspects of their operations. AR technology can be utilized for enhanced order-picking processes, providing workers with real-time information and visual cues through smart glasses or headsets, leading to increased accuracy and efficiency. VR, on the other hand, can be employed for immersive training simulations, allowing warehouse staff to undergo realistic training scenarios without the need for physical setups. These technologies contribute to improved worker productivity, reduced errors, and enhanced training programs, ultimately optimizing warehouse operations. As the technology continues to mature, the integration of AR and VR in smart warehousing not only improves current processes but also unlocks innovative possibilities for creating more intelligent, responsive, and efficient warehouse environments.

The market is competitive and has the presence of several key market players. Some prominent players in the market include Honeywell International Inc., Siemens, Zebra Technologies Corporation, IBM Corporation, Oracle Corporation, SAP SE, KION Group AG, Cognex Corporation, ABB Ltd., Tecsys, Inc., Manhattan Associates, PSI Logistics, and Reply, among others. These players are adopting strategies such as new product launches to stay ahead of their competition. For instance, in September 2023, OMRON Corporation, a leader in factory automation and Industry 4.0 solutions, launched the MD-650 autonomous mobile robot (AMR) with a payload of 650 kg, expanding its lineup of autonomous robots for part and material transport applications. The MD-650 features unique control technology, ensuring safe and smooth transport in production sites where human-machine collaboration is prevalent, addressing the increasing demand for efficiency in heavy-material transport operations.

Smart Warehousing Market Report Highlights:

  • The hardware segment held the largest market share of 50.1% in 2022, owing to its foundational role in implementing advanced technologies, such as automated guided vehicles, robotic systems, and IoT-enabled devices, which contribute to significant labor savings and enable seamless connectivity for data-driven decision-making and optimization of warehouse processes.
  • The cloud deployment is expected to witness the fastest CAGR over the forecast period, due to its unparalleled scalability, cost-efficient subscription models, rapid deployment, remote accessibility, automatic updates, integration capabilities, and efficient data analytics, offering businesses an agile and connected ecosystem for optimized operations.
  • The robotics and automation segment dominated the market in 2022. The segment's growth is attributable to its role in significantly enhancing operational efficiency through task automation and process streamlining.
  • The order fulfillment segment held the largest market share of 33.9% in 2022, owing to the its role in optimizing processes, reducing errors, and ensuring swift and accurate product delivery through the integration of technologies such as real-time tracking, automation, and advanced analytics.
  • The large warehouse size segment held the largest market share in 2022, as the large warehouses are well-suited for smart warehousing due to the scalability and operational complexities that come with managing extensive inventories and high-volume order processing.
  • The retail & e-commerce segment registered the fastest CAGR of 15.4% over the forecast period. The segment's growth is attributable to rapid growth of online shopping and the need for prompt order fulfillment.
  • North America dominated the market and held a share of 31.8% in 2022, owing to the advanced technological infrastructure and a well-established logistics industry.

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definitions
  • 1.3. Research Methodology
  • 1.4. Research Assumptions
  • 1.5. List of Data Sources
    • 1.5.1. Secondary Sources
    • 1.5.2. Primary Sources

Chapter 2. Executive Summary

  • 2.1. Market Snapshot
  • 2.2. Segmental Snapshot
  • 2.3. Competitive Landscape Snapshot

Chapter 3. Market Variables, Trends, & Scope Outlook

  • 3.1. Market Lineage Outlook
  • 3.2. Smart Warehousing Market Value Chain Analysis
  • 3.3. Smart Warehousing Market Dynamics
    • 3.3.1. Market Driver Analysis
    • 3.3.2. Market Restraint/Challenge Analysis
    • 3.3.3. Market Opportunity Analysis
  • 3.4. Industry Analysis - Porter's Five Forces Analysis
    • 3.4.1. Supplier Power
    • 3.4.2. Buyer Power
    • 3.4.3. Substitution Threat
    • 3.4.4. Threat of New Entrants
    • 3.4.5. Competitive Rivalry
  • 3.5. Smart Warehousing Market PESTEL Analysis
    • 3.5.1. Political Landscape
    • 3.5.2. Economic Landscape
    • 3.5.3. Social Landscape
    • 3.5.4. Technology Landscape
    • 3.5.5. Environmental Landscape
    • 3.5.6. Legal Landscape

Chapter 4. Smart Warehousing Market Component Outlook

  • 4.1. Smart Warehousing Market, By Component Analysis & Market Share, 2022 & 2030
  • 4.2. Hardware
    • 4.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 4.3. Software
    • 4.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 4.4. Services
    • 4.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)

Chapter 5. Smart Warehousing Market Deployment Outlook

  • 5.1. Smart Warehousing Market, By Deployment Analysis & Market Share, 2022 & 2030
  • 5.2. Cloud
    • 5.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 5.3. On-Premises
    • 5.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)

Chapter 6. Smart Warehousing Market Technology Outlook

  • 6.1. Smart Warehousing Market, By Technology Analysis & Market Share, 2022 & 2030
  • 6.2. IoT
    • 6.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 6.3. Robotics and Automation
    • 6.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 6.4. AI and Analytics
    • 6.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 6.5. Networking and Communication
    • 6.5.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 6.6. AR and VR
    • 6.6.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 6.7. Others
    • 6.7.1. Market estimates and forecasts, 2017 - 2030 (USD Million)

Chapter 7. Smart Warehousing Market Application Outlook

  • 7.1. Smart Warehousing Market, By Application Analysis & Market Share, 2022 & 2030
  • 7.2. Inventory Management
    • 7.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 7.3. Order Fulfillment
    • 7.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 7.4. Asset Tracking
    • 7.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 7.5. Predictive Analytics
    • 7.5.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 7.6. Others
    • 7.6.1. Market estimates and forecasts, 2017 - 2030 (USD Million)

Chapter 8. Smart Warehousing Market Warehouse Size Outlook

  • 8.1. Smart Warehousing Market, By Warehouse Size Analysis & Market Share, 2022 & 2030
  • 8.2. Small
    • 8.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 8.3. Medium
    • 8.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 8.4. Large
    • 8.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)

Chapter 9. Smart Warehousing Market Vertical Outlook

  • 9.1. Smart Warehousing Market, By Vertical Analysis & Market Share, 2022 & 2030
  • 9.2. Transportation & Logistics
    • 9.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 9.3. Retail & E-commerce
    • 9.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 9.4. Manufacturing
    • 9.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 9.5. Healthcare
    • 9.5.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 9.6. Energy & Utilities
    • 9.6.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 9.7. Automotive
    • 9.7.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 9.8. Food & Beverages
    • 9.8.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
  • 9.9. Others
    • 9.9.1. Market estimates and forecasts, 2017 - 2030 (USD Million)

Chapter 10. Smart Warehousing Market: Regional Estimates & Trend Analysis

  • 10.1. Smart Warehousing Market Share by Region, 2022 & 2030
  • 10.2. North America
    • 10.2.1. Market estimates and forecasts, 2017 - 2030
    • 10.2.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
    • 10.2.3. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
    • 10.2.4. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
    • 10.2.5. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 10.2.6. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
    • 10.2.7. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.2.8. U.S.
      • 10.2.8.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.2.8.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.2.8.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.2.8.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.2.8.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.2.8.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.2.9. Canada
      • 10.2.9.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.2.9.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.2.9.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.2.9.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.2.9.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.2.9.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
  • 10.3. Europe
    • 10.3.1. Market estimates and forecasts, 2017 - 2030
    • 10.3.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
    • 10.3.3. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
    • 10.3.4. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
    • 10.3.5. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 10.3.6. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
    • 10.3.7. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.3.8. U.K.
      • 10.3.8.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.3.8.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.3.8.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.3.8.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.3.8.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.3.8.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.3.9. Germany
      • 10.3.9.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.3.9.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.3.9.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.3.9.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.3.9.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.3.9.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.3.10. France
      • 10.3.10.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.3.10.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.3.10.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.3.10.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.3.10.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.3.10.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
  • 10.4. Asia Pacific
    • 10.4.1. Market estimates and forecasts, 2017 - 2030
    • 10.4.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
    • 10.4.3. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
    • 10.4.4. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
    • 10.4.5. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 10.4.6. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
    • 10.4.7. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.4.8. China
      • 10.4.8.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.4.8.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.4.8.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.4.8.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.4.8.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.4.8.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.4.9. India
      • 10.4.9.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.4.9.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.4.9.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.4.9.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.4.9.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.4.9.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.4.10. Japan
      • 10.4.10.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.4.10.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.4.10.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.4.10.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.4.10.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.4.10.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.4.11. South Korea
      • 10.4.11.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.4.11.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.4.11.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.4.11.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.4.11.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.4.11.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.4.12. Australia
      • 10.4.12.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.4.12.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.4.12.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.4.12.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.4.12.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.4.12.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
  • 10.5. Latin America
    • 10.5.1. Market estimates and forecasts, 2017 - 2030
    • 10.5.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
    • 10.5.3. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
    • 10.5.4. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
    • 10.5.5. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 10.5.6. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
    • 10.5.7. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.5.8. Brazil
      • 10.5.8.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.5.8.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.5.8.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.5.8.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.5.8.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.5.8.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.5.9. Mexico
      • 10.5.9.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.5.9.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.5.9.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.5.9.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.5.9.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.5.9.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
  • 10.6. Middle East & Africa
    • 10.6.1. Market estimates and forecasts, 2017 - 2030
    • 10.6.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
    • 10.6.3. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
    • 10.6.4. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
    • 10.6.5. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
    • 10.6.6. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
    • 10.6.7. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.6.8. Kingdom of Saudi Arabia (KSA)
      • 10.6.8.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.6.8.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.6.8.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.6.8.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.6.8.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.6.8.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.6.9. UAE
      • 10.6.9.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.6.9.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.6.9.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.6.9.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.6.9.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.6.9.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)
    • 10.6.10. South Africa
      • 10.6.10.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 10.6.10.2. Market estimates and forecasts, By Deployment, 2017 - 2030 (USD Million)
      • 10.6.10.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
      • 10.6.10.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
      • 10.6.10.5. Market estimates and forecasts, By Warehouse Size, 2017 - 2030 (USD Million)
      • 10.6.10.6. Market estimates and forecasts, By Vertical, 2017 - 2030 (USD Million)

Chapter 11. Smart Warehousing Market Competitive Landscape

  • 11.1. Key Market Participants
    • 11.1.1. Honeywell International Inc.
    • 11.1.2. Siemens
    • 11.1.3. Zebra Technologies Corporation
    • 11.1.4. IBM Corporation
    • 11.1.5. Oracle Corporation
    • 11.1.6. SAP SE
    • 11.1.7. KION Group AG
    • 11.1.8. Cognex Corporation
    • 11.1.9. ABB Ltd.
    • 11.1.10. Tecsys, Inc.
    • 11.1.11. Manhattan Associates
    • 11.1.12. PSI Logistics
    • 11.1.13. Reply
  • 11.2. Key Company Market Share Analysis, 2022
  • 11.3. Company Categorization/Position Analysis, 2022
  • 11.4. Strategic Mapping
    • 11.4.1. Expansion
    • 11.4.2. Mergers & Acquisition
    • 11.4.3. Partnerships & Collaborations
    • 11.4.4. Product/service launch
    • 11.4.5. Others

List of Tables

  • Table 1 Global Smart Warehousing Market revenue estimates and forecast, by component, 2017 - 2030 (USD Million)
  • Table 2 Global Smart Warehousing Market revenue estimates and forecast, by deployment, 2017 - 2030 (USD Million)
  • Table 3 Global Smart Warehousing Market revenue estimates and forecast, by technology, 2017 - 2030 (USD Million)
  • Table 4 Global Smart Warehousing Market revenue estimates and forecast, by application, 2017 - 2030 (USD Million)
  • Table 5 Global Smart Warehousing Market revenue estimates and forecast, by warehouse size, 2017 - 2030 (USD Million)
  • Table 6 Global Smart Warehousing Market revenue estimates and forecast, by vertical, 2017 - 2030 (USD Million)
  • Table 7 Global Smart Warehousing Market revenue estimates and forecast, by region, 2017 - 2030 (USD Million)
  • Table 8 Participant's Overview
  • Table 9 Financial Performance
  • Table 10 Product Benchmarking
  • Table 11 Key companies undergoing expansion
  • Table 12 Key companies involved in mergers & acquisitions
  • Table 13 Key companies undertaking partnerships and collaboration
  • Table 14 Key companies launching new product/service launches 

List of Figures

  • Fig. 1 Smart Warehousing Market segmentation
  • Fig. 2 Information procurement
  • Fig. 3 Data analysis models
  • Fig. 4 Market formulation and validation
  • Fig. 5 Data validating & publishing
  • Fig. 6 Market snapshot
  • Fig. 7 Segment snapshot, by component and deployment
  • Fig. 8 Segment snapshot by technology and application
  • Fig. 9 Segment snapshot by warehouse size and vertical
  • Fig. 10 Competitive landscape snapshot
  • Fig. 11 Smart Warehousing Market value, 2017 - 2030 (USD Million)
  • Fig. 12 Smart Warehousing Market - Industry value chain analysis
  • Fig. 13 Smart Warehousing Market - Market trends
  • Fig. 14 Smart Warehousing Market: Porter's analysis
  • Fig. 15 Smart Warehousing Market: PESTEL analysis
  • Fig. 16 Smart Warehousing Market, by Component: Key takeaways
  • Fig. 17 Smart Warehousing Market, by Component: Market share, 2022 & 2030
  • Fig. 18 Hardware Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 19 Software Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 20 Services Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 21 Smart Warehousing Market, by Deployment: Key takeaways
  • Fig. 22 Smart Warehousing Market, by Deployment: Market share, 2022 & 2030
  • Fig. 23 Cloud Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 24 On-Premises Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 25 Smart Warehousing Market, by Technology: Key takeaways
  • Fig. 26 Smart Warehousing Market, by Technology: Market share, 2022 & 2030
  • Fig. 27 IoT Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 28 Robotics and Automation Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 29 AI and Analytics Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 30 Networking and Communication Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 31 AR and VR Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 32 Others Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 33 Smart Warehousing Market, by Application: Key takeaways
  • Fig. 34 Smart Warehousing Market, by Application: Market share, 2022 & 2030
  • Fig. 35 Inventory Management Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 36 Order Fulfillment Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 37 Asset Tracking Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 38 Predictive Analytics Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 39 Others Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 40 Smart Warehousing Market, by Warehouse Size: Key takeaways
  • Fig. 41 Smart Warehousing Market, by Warehouse Size: Market share, 2022 & 2030
  • Fig. 42 Small Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 43 Medium Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 44 Large Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 45 Smart Warehousing Market, by Vertical: Key takeaways
  • Fig. 46 Smart Warehousing Market, by Vertical: Market share, 2022 & 2030
  • Fig. 47 Transportation & Logistics Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 48 Retail & E-Commerce Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 49 Manufacturing Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 50 Healthcare Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 51 Energy & Utilities Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 52 Automotive Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 53 Food & Beverages Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 54 Others Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 55 Global Smart Warehousing Market revenue, by Region, 2022 & 2030, (USD Million)
  • Fig. 56 North America Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 57 U.S. Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 58 Canada Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 59 Europe Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 60 U.K. Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 61 Germany Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 62 France Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 63 Asia Pacific Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 64 China Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 65 India Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 66 Japan Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 67 South Korea Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 68 Australia Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 69 Latin America Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 70 Brazil Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 71 Mexico Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 72 Middle East & Africa Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 73 Kingdom of Saudi Arabia (KSA) Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 74 UAE Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 75 South Africa Smart Warehousing Market estimates & forecasts, 2017 - 2030 (USD Million)
  • Fig. 76 Key company categorization
  • Fig. 77 Smart Warehousing Market - Key company market share analysis, 2022
  • Fig. 78 Strategic framework