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Smart Warehousing Market Size, Share & Industry Analysis By Component (Hardware, Solutions, Services), By Organization Size (Small and Medium Enterprises, Large Enterprises), Deployment Mode (On-Premises, Cloud), Application (Transport Management, Inventory Management, Order Management), By Industry (Transportation and Logistics, Retail and Ecommerce, Food and Beverages) And Regional Forecast, 2024-2032

Region :Global | Report ID: FBI106506 | Status : Ongoing



A smart warehouse solution comprises numerous automated and interconnected technologies such as artificial intelligence, internet of things, automated guided vehicles, among others. These technologies work together to increase the productivity and efficiency of the warehouse. Adoption of smart warehousing technique helps to reduce the number of human workers count and decrease errors in the operations. In this mobile driven world, adoption of smart warehouse facility among end-users has significantly increased to meet requirements of customers for on-time product delivery. This growing demand for smart warehouse is propelling the growth of the smart warehousing market.

The proliferation of Industry 4.0 technologies such as artificial intelligence, Big Data and analytics, autonomous robots, and augmented reality, and internet of things plays a vital role in transforming modern-day warehouse operations. Furthermore, rise in digitization and growing popularity of e-commerce among people is propelling the growth of smart warehousing market. Many vendors across the globe are engaged in incorporation of innovative technologies such as barcode scanning apps, automated guided vehicles, radio frequency identification technology, etc. to enhance and speed up supply chain network with minimum errors. Adoption of these technologies in warehousing plays a vital role to fuel the growth of the market.


The COVID-19 had moderate impact on the smart warehousing market. The COVID-19 disrupted global supply chains and impacted both supply and demand significantly. Government of various countries had imposed lockdown due to which manufacturing, retail, food & beverages, and transportation & logistics sectors were closed. Post COVID-19, demand for online shopping has significantly increased as people were able to select the product on e-commerce platform by sitting at comfort of their home. However, due to COVID-19 warehouse businesses were facing transportation delay issue which badly affected their supply chain network. In order to meet requirements of customer, warehouse and supply chain sectors have adopted and implemented automation technologies, to enable businesses to grow at rapid pace. Thus, it is analyzed that post COVID-19 demand for smart warehousing has increased among all end-users and it is expected to drive the market during forecast period.


The report will cover following key insights:

  • Micro Macro Economic Indicators

  • Drivers, Restraints, Trends and Opportunities

  • Business Strategies Adopted by the Players

  • Impact of COVID-19 on Cloud Advertising Market

  • Consolidated SWOT Analysis of Key Players


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North America is expected to hold the largest market share in the global market. Demand for smart warehousing is significantly increasing across the region to deliver the product on time with minimum errors. Owing to this factor, adoption of smart warehousing is increasing among vendors which is expected to boost the demand for smart warehousing market in this region. North America is an innovative hub and it is anticipated to create lucrative opportunities for smart warehousing vendors in the region. The presence of major market players such as IBM Corporation, Infor, Manhattan Associates, and Oracle Corporation, among others helps in generating revenue in the region.

Asia Pacific is anticipated to have significant growth during forecast period. Adoption of technology based smart warehousing in various industries is significantly increasing across China, India, Singapore, South Korea and others to enhance productivity and customer experience. In addition, growing adoption of smart warehousing hardware, solutions, and services is expected to rise in the region.


The report will include the profiles of key players such as Oracle Corporation, IBM Corporation, SAP SE, PTC, Inc., Infor, Manhattan Associates, PSI Logistics, Tecsys, Reply, Korber AG, Blue Yonder, FlytBase, Inc., Synergy Logistics, and others.

Key players in the market like IBM Corporation, SAP SE, Tecsys, Manhattan Associates, etc. are entering into strategic partnerships and collaborations to expand the business. Market players are focused on new product launch and product enhancement in existing product to accelerate market growth.




By Component

  • Hardware

  • Solutions

  • Services

By Organization Size

  • Small and Medium Enterprises

  • Large Enterprises

Deployment Mode

  • On-Premises

  • Cloud


  • Transport Management

  • Inventory Management

  • Order Management

  • Shipping Management

  • Others

By Industry

  • Transportation and Logistics

  • Retail and Ecommerce

  • Food and Beverages

  • Manufacturing

  • Healthcare

  • Others

By Geography

  • North America (U.S., Canada, and Mexico)

  • Europe (U.K., Germany, France, Italy, Spain, Russia, Benelux, Nordics and Rest of Europe)

  • Asia Pacific (China, India, Japan, South Korea, ASEAN, Oceania and Rest of Asia Pacific)

  • Middle East & Africa (Turkey, Israel, GCC, North Africa, South Africa and Rest of MEA)

  • South America (Brazil, Argentina and Rest of South America)


  • May 2020 - Manhattan Associates announced the Manhattan Active Warehouse Management solution. It is a cloud-native enterprise-class warehouse management solution. The solution is designed entirely from micro services and it is easy to use within supply management.

  • March 2020 – Tecsys engaged into contract with Delmar International Inc. to add latter’s software and business intelligence solutions for functional and operational improvements in its 3PL warehousing and distribution business.

  • Ongoing
  • 2023
  • 2019-2022

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