Smart Warehousing Market

Smart Warehousing Market by Offering (Hardware, Software, Services), Technology (AI & Analytics, Robotics & Automation), Application (Inventory Management, Predictive Analytics), Warehouse Size, Vertical and Region - Global Forecast to 2028

Report Code: TC 7993 Sep, 2023, by marketsandmarkets.com

[339 Pages Report] The smart warehousing market is projected to grow from USD 20.4 billion in 2023 to USD 40.5 billion by 2028, at a compound annual growth rate (CAGR) of 14.6% during the forecast period. Due to various business drivers, the smart warehousing market is expected to grow significantly during the forecast period. The market is experiencing significant growth due to the increasing incidents of phishing emails and ransomware, and need to ensure consistent adherence to security policies and facilitates audit trails.    The rising cybersecurity threats and complexity, growing ability to detect and respond to security incidents in real-time is also responsible for driving the market’s growth.

Smart Warehousing Market

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Smart Warehousing Market

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Market Dynamics

Driver: Rising focus on green initiatives and sustainability to minimize waste 

The rising emphasis on green initiatives and sustainability, aimed at minimizing waste and reducing environmental impact, serves as a compelling driving force for the adoption of smart warehousing solutions in the market. These solutions employ advanced technologies like IoT sensors and automation to optimize resource utilization, energy efficiency, and waste reduction within warehouses, aligning with eco-friendly practices. Smart warehousing solutions promote energy efficiency through technologies like LED lighting and real-time data analytics, optimize transportation to reduce fuel consumption and emissions, and minimize waste through improved inventory management. They also contribute to resource optimization, support recycling and circular economy efforts, aid in regulatory compliance, and align with consumer preferences for environmentally responsible practices. Furthermore, by reducing operational costs and enhancing efficiency, smart warehousing solutions offer ecological and economic benefits, making them a vital component of modern, sustainable supply chain management.

Restraints: Data security privacy concerns

Enterprises adopting smart warehousing solutions face security and privacy issues. They possess confidential data, which needs to be protected to avoid data breaches and thefts, as it may affect the reputation of enterprises. The enterprises’ data may leak over the internet and can be accessed by unauthorized users, which is a growing concern. Cloud technology is a growing trend in the warehouse industry. IoT and automated material handling equipment have digitized warehouse operations, and the adoption of cloud technology has further transformed the warehousing and supply chain industry. The use of cloud technology has given rise to certain cybersecurity threats, including data privacy and security concerns, which arise with the rising complexity of smart warehousing solutions.

Opportunity: Advent of AR and VR technologies to streamline warehouse operations

Leveraging AR and VR technologies for warehouse management activities like order allocation, inventory control management, order picking, and material handling can simplify and improve complex warehouse operations, thereby enhancing supply chain processes. Moreover, AR and VR technologies are utilized to enhance worker training, improve operational efficiency, and provide real-time guidance. AR headsets or mobile devices overlay digital information onto the physical environment, assisting workers in locating items, navigating the warehouse, and performing tasks more effectively. VR simulations create immersive training environments for workers to practice skills, emergency response procedures, and equipment operation. For instance, DHL has successfully tested and implemented AR warehouse operations to improve its productivity. Using AR smart glasses, the company was able to use vision picking, which relies on remotely handling an order by picking the correct item and recording information about it without physically touching it. Furthermore, BMW uses AR and VR technologies to improve its production system and warehouse operations. The company’s employees use smart monitors to display information about the piece they’re working on, share it with other employees, and interact with the management by delivering the information that appears in the worker’s field of vision. Adopting AR and VR technologies in smart warehousing improves efficiency, reduces operational costs, minimizes errors, enhances safety, and provides a more agile and responsive supply chain. Thus, it creates significant opportunities in smart warehousing market as companies seek innovative solutions to remain competitive in an increasingly digital and automated world.

Challenge: Slow adoption of smart warehousing solutions due to high capital investment

The digitalization of warehouse operations requires high capital investments that involve the installation of automation equipment, software, and solutions, which incur heavy expenses. The replacement of existing processes is very costly. Another factor hindering the growth of the smart warehousing market is the slow adoption due to the integration complexities of multiple IoT platforms, numerous protocols, and a large number of APIs. The adoption of smart warehousing solutions is not picking up pace, due to the reluctance of organizations to shift from manual practices to the digitalized process involving high capital re-investment. Most enterprises have a laid-back attitude toward new digital technologies and use their intuition rather than adopting digital technologies to make informed business decisions. Hence, companies with limited financial resources are unable to opt for automation warehouse systems, thereby acting as a restraint to the growth of the smart warehousing market.

Smart Warehousing
Market Ecosystem

Smart Warehousing Market

By software by deployment mode, on-premises software segment to account for a larger market size during forecast period

The on-premises deployment of smart warehousing hardware, solutions, and services is a more commonly used practice that offers enterprises the power to manage risks, business processes, and industry policies and enable compliance management. Security and compliance are major concerns for businesses to manage the ever-increasing demand for managing complex warehouse operations. The adoption of on-premises smart warehousing solutions reduces the security risk of handling a huge amount of logistic data.

By technology, IoT registers the highest CAGR during the forecast period

IoT technology has revolutionized the smart warehousing market by providing real-time visibility and control over inventory and operations. The growth of IoT in this sector is primarily driven by its ability to enhance supply chain efficiency, reduce operational costs, and improve inventory management. IoT sensors and devices enable continuous monitoring of warehouse conditions, such as temperature, humidity, and security, ensuring that goods are stored in optimal conditions and reducing the risk of spoilage or theft.

By region, North America holds the largest market size during the forecast period

North America will lead the smart warehousing market in 2023. North America, comprising the United States and Canada, is known for its advanced technology infrastructure and innovative industries, making it a hub for adopting smart warehousing technologies. The region's strong technology ecosystem and continuous innovation make it a key player in driving the development and adoption of these solutions globally.

Smart Warehousing Market Size, and Share

Key Market Players

The smart warehousing solution and service providers have implemented various types of organic and inorganic growth strategies, such as new product launches, product upgrades, partnerships, and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. Some major players in the smart warehousing market include Manhattan Associates (US), Korber (Germany), Oracle (US), SAP (Germany), Tecsys (Canada), PSI Logistics (Germany), PTC (US), Reply (Italy), Infor (US), IBM (US), Blue Yonder (US), Generix Group (France), Microlistics (Australia), ABB (Switzerland), Microsoft (US), Epicor (US), Made4net (US), Mantis (US), Softeon (US), Synergy Logistics (US), E2open (US), Vinculum (India), Mecalux (Spain), SSI Schaefer (US), WareIQ (India), Foysonis (India), Increff (India), Locus Robotics (US), ShipHero (US), Cin7 (US), EasyEcom (India), Unicommerce (India), and IAM Robotics (US).

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Scope of the Report

Report Metrics

Details

Market size available for years

2017–2028

Base year considered

2022

Forecast period

2023–2028

Forecast units

USD (Billion)

Segments covered

Offering, Technology, Application, Warehouse Size, Vertical, and Region

Geographies covered

North America, Asia Pacific, Europe, Middle East & Africa, and Latin America

Companies covered

Manhattan Associates (US), Korber (Germany), Oracle (US), SAP (Germany), Tecsys (Canada), PSI Logistics (Germany), PTC (US), Reply (Italy), Infor (US), IBM (US), Blue Yonder (US), Generix Group (France), Microlistics (Australia), ABB (Switzerland), Microsoft (US), Epicor (US), Made4net (US), Mantis (US), Softeon (US), Synergy Logistics (US), E2open (US), Vinculum (India), Mecalux (Spain), SSI Schaefer (US), WareIQ (India), Foysonis (India), Increff (India), Locus Robotics (US), ShipHero (US), Cin7 (US), EasyEcom (India), Unicommerce (India), and IAM Robotics (US).

This research report categorizes the smart warehousing market based on offering, technology, application, warehouse size, vertical, and region.

By Offering:
  • Hardware
    • Radio Frequency Identification Systems (RFID)
      • Passive
      • Active
    • Sensor Networks
      • Environmental Sensors
      • Motion Sensors
      • Proximity Sensors
    • Real-Time Location Systems (RTLS)
      • Indorr RTLS
      • Outdoor RTLS
      • Ultra-Wideband (UWB) RTLS
    • Automated Guided Vehicles (AGVs)
      • AGVs for Material Handling
      • AGVs for Picking
      • AGVs for Sorting
    • Autonomous Mobile Robots (AMRS)
      • AMRS for Inventory Scanning
      • AMRS for Order Fulfillment
      • AMRS for Material Handling
    • Conveyor Systems
      • Belt Conveyors
      • Roller Conveyors
      • Slat Conveyors
    • Other Hardware
  • Software
    • Warehouse management System (WMS) Software
    • Inventory Management Software
    • Collaboration and Communication Tools
    • Simulation and Modeling Software
    • Labor Management Software
    • Warehouse Control System (WCS)
    • Other Software
  • Software by Deployment Mode
    • Cloud
    • On-premises
  • Services
    • Professional Services
      • Training & Consulting
      • System Integration & Implementation
      • Support & Maintenance
    • Managed Services
By Technology:
  • IoT
  • Robotics and Automation
  • AI and Analytics
  • Networking and Communication
  • AR and VR
  • Other Technologies
By Application:
  • Inventory Management
    • Real-Time Inventory Tracking
      • Barcode Scanning
      • RFID based Tracking
      • GPS based Tracking
    • Inventory Optimization
      • Dynamic Reordering
      • Safety Stock Management
      • Demand Sensing
  • Order Fulfillment
    • Picking-and-Packing Automation
      • Robotic Pickers
      • Goods-to-Person Systems
      • Collaboration Robots (Cobots)
    • Order Routing and Optimization
      • Route Planning Algorithms
      • Multi-channel Order Management
      • Dynamic Slotting
  • Asset Tracking
    • Equipemnt and Vehicle Tracking
      • GPS Tracking
      • Telematics Systems
      • Condition Monitoring
    • Product and Package Tracking
      • RFID Tagging
      • Smart Packaging
      • Blockchain-based Tracking
  • Predictive Analytics
    • Demand Forecasting Models
      • Machine Learning based Forecasting
      • Time Series Analysis
      • Bayesian Forecasting
    • Predictive Maintenance
      • Sensor-based Predictive Maintenance
      • AI-Driven Predictive Maintenance
      • Failure-mode and Effects Analysis (FMEA)
  • Other Applications
By Warehouse Size:
  • Small
  • Medium
  • Large
By Vertical:
  • Transportation and Logistics
  • Manufacturing
  • Healthcare & Life Sciences
  • Retail & eCommerce
  • Food and Beverages
  • Energy & Utilities
  • Agriculture
  • Other Verticals
By Region:
  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia and New Zealand (ANZ)
    • South Korea
    • ASEAN Countries
    • Rest of Asia Pacific
  • Middle East & Africa
    • UAE
    • Saudi Arabia
    • South Africa
    • Israel
    • Rest of the Middle East & Africa
  • Latin America
    • Brazil
    • Mexico
    • Argentina
    • Rest of Latin America

Recent Developments:

  • In August 2023, Manhattan Associates announced PacSun, a leading specialty retailer of emerging youth brands and trending fashion, has selected Manhattan Active Point of Sale to enhance its omnichannel sales strategy and deliver a seamless, unified customer shopping experience.
  • In August 2023, Infor announced that Zofri will implement Infor WMS warehouse management system to improve customer service, one of the most important performance indicators in the supply chain. The Infor WMS solution will be deployed in the cloud, which is powered by AWS (Amazon Web Services), and will be implemented by Cerca Technology, Infor's partner in Latin America. 
  • In May 2023, Manhattan Associates announced its re-imagined Manhattan Active Yard Management solution to expand the company’s vision of a unified supply chain. By redesigning yard management to work seamlessly with its industry leading warehouse and transportation management solutions on a single cloud native platform, Manhattan is completing the digital unification of distribution and logistics where they come together in the physical world.
  • In March 2023, Raymour & Flanigan, the largest furniture and mattress retailer in the Northeast and seventh largest in the US, partners with Körber to respond more effectively to today’s consumer challenges through warehouse improvements pushing for greater order accuracy, speed, and customer fulfilment. This enables Raymour & Flanigan to build upon their long-standing legacy of bringing thoughtfully selected pieces of furniture to the places their customers serve, work and live while enhancing the customer shopping experience.
  • In January 2023, Tecsys announced its warehouse-in-a-warehouse e-commerce fulfillment solution enabling retailers and brands to execute e-commerce fulfillment flawlessly while leaving existing wholesale and distribution models and legacy systems largely intact.
  • In December 2022, Tecsys and SVT Robotics have partnered to develop and launch an out-of-the-box integrated connection between the Tecsys’ Elite supply chain platform and SVT's SOFTBOT Platform. The integration will provide Tecsys Elite customers faster deployment and lower complexity without the need for lengthy custom code development often involved in multi-system automation and robotics deployments.
  • In March 2022, Marks & Spencer Reliance India Pvt Ltd (M&S India), a British retailer, and IBM are collaborating to modernize the supply chain, promote connectivity among online and in-store operations, and enhance customer experience. With IBM Sterling Supply Chain Solutions, M&S is expanding its multichannel potential in India.

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 47)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 MARKET SCOPE 
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
           1.3.3 YEARS CONSIDERED
    1.4 CURRENCY CONSIDERED 
    1.5 STAKEHOLDERS 
    1.6 SUMMARY OF CHANGES 
           1.6.1 IMPACT OF RECESSION
 
2 RESEARCH METHODOLOGY (Page No. - 52)
    2.1 RESEARCH DATA 
           FIGURE 1 SMART WAREHOUSING MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    TABLE 1 PRIMARY INTERVIEWS
                    2.1.2.1 Breakup of primary profiles
                    2.1.2.2 Key industry insights
    2.2 MARKET BREAKUP AND DATA TRIANGULATION 
           FIGURE 2 DATA TRIANGULATION
    2.3 MARKET SIZE ESTIMATION 
           FIGURE 3 SMART WAREHOUSING MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
                    FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY SIDE): REVENUE FROM SOLUTIONS/SERVICES OF MARKET
                    FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY- APPROACH 2, BOTTOM-UP  (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF MARKET
                    FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 3, BOTTOM-UP  (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF MARKET
                    FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 4, BOTTOM-UP (DEMAND SIDE): SHARE OF MARKET THROUGH OVERALL SMART WAREHOUSING SPENDING
    2.4 MARKET FORECAST 
           TABLE 2 FACTOR ANALYSIS
    2.5 RESEARCH ASSUMPTIONS 
    2.6 LIMITATIONS 
    2.7 IMPLICATIONS OF RECESSION ON SMART WAREHOUSING MARKET 
           TABLE 3 IMPACT OF RECESSION ON GLOBAL MARKET
 
3 EXECUTIVE SUMMARY (Page No. - 65)
    TABLE 4 GLOBAL MARKET SIZE AND GROWTH RATE,  2017–2022 (USD MILLION, Y-O-Y %) 
    TABLE 5 GLOBAL MARKET SIZE AND GROWTH RATE,  2023–2028 (USD MILLION, Y-O-Y %) 
    FIGURE 8 HARDWARE SEGMENT TO DOMINATE MARKET IN 2023 
    FIGURE 9 WMS SOFTWARE TO HOLD LARGEST MARKET SHARE IN 2023 
    FIGURE 10 RTLS SEGMENT TO LEAD MARKET IN 2023 
    FIGURE 11 PROFESSIONAL SERVICES SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE IN 2023 
    FIGURE 12 SUPPORT AND MAINTENANCE SERVICES SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023 
    FIGURE 13 ON-PREMISES SEGMENT TO LEAD MARKET IN 2023 
    FIGURE 14 ROBOTICS AND AUTOMATION TECHNOLOGY SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023 
    FIGURE 15 INVENTORY MANAGEMENT SEGMENT TO DOMINATE MARKET IN 2023 
    FIGURE 16 LARGE WAREHOUSE SEGMENT TO DOMINATE MARKET IN 2023 
    FIGURE 17 HEALTHCARE AND LIFE SCIENCES SEGMENT TO RECORD HIGHEST  GROWTH IN 2023 
    FIGURE 18 ASIA PACIFIC TO RECORD HIGHEST CAGR IN 2023 
 
4 PREMIUM INSIGHTS (Page No. - 72)
    4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN SMART WAREHOUSING MARKET 
           FIGURE 19 RISING FOCUS ON GREEN INITIATIVES AND SUSTAINABILITY TO DRIVE MARKET GROWTH
    4.2 OVERVIEW OF RECESSION IMPACT ON GLOBAL MARKET 
           FIGURE 20 MARKET TO WITNESS MINOR DECLINE IN Y-O-Y GROWTH IN 2023
    4.3 MARKET: TOP THREE APPLICATIONS 
           FIGURE 21 PREDICTIVE ANALYTICS SEGMENT TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
    4.4 NORTH AMERICA: MARKET, BY OFFERING AND TOP THREE VERTICALS 
           FIGURE 22 HARDWARE SEGMENT AND TRANSPORTATION AND LOGISTICS VERTICAL TO HOLD LARGEST SHARES OF NORTH AMERICAN MARKET IN 2023
    4.5 SMART WAREHOUSING MARKET: BY REGION 
           FIGURE 23 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2023
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 75)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           FIGURE 24 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: SMART WAREHOUSING MARKET
           5.2.1 DRIVERS
                    5.2.1.1 Rising focus on green initiatives and sustainability to minimize waste
                    5.2.1.2 Proliferation of smartphones for faster and efficient management of goods
                    5.2.1.3 Emergence of multi-channel distribution networks
                    5.2.1.4 Dynamic nature and globalization of supply chain networks
           5.2.2 RESTRAINTS
                    5.2.2.1 Lack of uniform governance standards in fragmented logistics industry
                    5.2.2.2 Data security and privacy concerns
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Adoption of AR and VR technologies to streamline warehouse operations
                    5.2.3.2 Rising focus on Warehouse 4.0 to reduce operating costs
                    5.2.3.3 Advancements in self-driving vehicles and robotics
           5.2.4 CHALLENGES
                    5.2.4.1 Lack of awareness among small-scale industries
                    5.2.4.2 High implementation and maintenance costs for SMEs
    5.3 BRIEF HISTORY OF SMART WAREHOUSING 
           FIGURE 25 EVOLUTION OF MARKET
    5.4 ARCHITECTURE: MARKET 
           FIGURE 26 SMART WAREHOUSING MARKET ARCHITECTURE
    5.5 CASE STUDY ANALYSIS 
           5.5.1 TRANSPORTATION & LOGISTICS
                    5.5.1.1 Americold deploys Blue Yonder WMS to modernize warehouse environment
                    5.5.1.2 Automated warehouse solutions from Körber help Pharmalog deal with high order volume
                    5.5.1.3 Locus assists BigBasket to achieve 99.5% on-time delivery for 10 million customers
                    5.5.1.4 FM Logistic Russia chooses Generix SaaS-based WMS to improve operational efficiency
           5.5.2 HEALTHCARE & LIFE SCIENCES
                    5.5.2.1 Sanford Health improves patient care and safety with Tecsys software
                    5.5.2.2 Tecsys WMS solution helps NMHS achieve annual savings of USD 8 million
                    5.5.2.3 Drogaria Araujo opts for Körber’s WMS to increase stock traceability
           5.5.3 MANUFACTURING
                    5.5.3.1 Etilux Group implements Körber's WMS to streamline inventory
                    5.5.3.2 Epicor Kinetic helps Finnish manufacturer focus on international growth
                    5.5.3.3 SOLOCHAIN streamlines Marucci Sports’ warehouse process
           5.5.4 FOOD & BEVERAGES
                    5.5.4.1 Generix WMS enables Lactalis Spain to pilot different types of warehouses
                    5.5.4.2 Dutch food company relies on ABB robots to optimize delivery process
                    5.5.4.3 EasyEcom helps Paper Boat improve order processing
           5.5.5 RETAIL & ECOMMERCE
                    5.5.5.1 Körber WMS helps Adore Beauty keep up with growing sales
                    5.5.5.2 Eventyrsport deploys Tecsys’ Omni WMS to manage growing inventory
                    5.5.5.3 Conforama uses Generix WMS to increase warehouse production capacity
           5.5.6 ENERGY & UTILITIES
                    5.5.6.1 Körber WMS helps GRTgaz configure personalized strategies
                    5.5.6.2 Puget Sound Energy successfully implements SAP Extended Warehouse Management Application
           5.5.7 AUTOMOTIVE
                    5.5.7.1 Mitsubishi deploys Körber WMS to address challenges of manual warehouse operations
                    5.5.7.2 Click Reply solution allows Dana Italia to speed up warehouse processes
           5.5.8 AGRICULTURE
                    5.5.8.1 Thai Agro Exchange Co. opts for Körber solutions to serve wholesale clients better
    5.6 TARIFF AND REGULATORY LANDSCAPE 
           5.6.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.6.2 NORTH AMERICA
                    TABLE 6 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.6.3 EUROPE
                    TABLE 7 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.6.4 ASIA PACIFIC
                    TABLE 8 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.6.5 MIDDLE EAST & AFRICA
                    TABLE 9 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.6.6 LATIN AMERICA
                    TABLE 10 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    5.7 ECOSYSTEM/MARKET MAP 
           TABLE 11 SMART WAREHOUSING MARKET: SUPPLY CHAIN ANALYSIS
           FIGURE 27 MARKET: ECOSYSTEM
    5.8 PATENT ANALYSIS 
           5.8.1 METHODOLOGY
           5.8.2 PATENTS FILED, BY DOCUMENT TYPE
                    TABLE 12 PATENTS FILED, 2013–2023
           5.8.3 INNOVATION AND PATENT APPLICATIONS
                    FIGURE 28 TOTAL NUMBER OF PATENTS GRANTED, 2013–2023
                    5.8.3.1 Top applicants
                               FIGURE 29 TOP TEN PATENT APPLICANTS, 2013–2023
                               TABLE 13 TOP 20 PATENT OWNERS IN MARKET, 2013–2023
                               TABLE 14 PATENTS IN MARKET, 2023
                               FIGURE 30 REGIONAL ANALYSIS OF PATENTS GRANTED FOR MARKET, 2023
    5.9 SUPPLY CHAIN ANALYSIS 
           FIGURE 31 MARKET: SUPPLY CHAIN ANALYSIS
    5.10 FUTURE DIRECTION OF SMART WAREHOUSING MARKET LANDSCAPE 
           FIGURE 32 SMART WAREHOUSING ROADMAP UNTIL 2030
    5.11 PRICING ANALYSIS 
           5.11.1 AVERAGE SELLING PRICE OF KEY COMPANIES
                    FIGURE 33 AVERAGE SELLING PRICE OF KEY COMPANIES
           5.11.2 INDICATIVE PRICING ANALYSIS
                    TABLE 15 AVERAGE SELLING PRICE ANALYSIS, BY OFFERING
    5.12 TRENDS AND DISRUPTIONS IMPACTING BUYERS/CLIENTS’ BUSINESSES 
                    FIGURE 34 MARKET: TRENDS AND DISRUPTIONS IMPACTING BUYERS/CLIENTS’ BUSINESSES
    5.13 PORTER’S FIVE FORCES ANALYSIS 
                    FIGURE 35 SMART WAREHOUSING MARKET: PORTER’S FIVE FORCES ANALYSIS
           5.13.1 THREAT OF NEW ENTRANTS
           5.13.2 THREAT OF SUBSTITUTES
           5.13.3 BARGAINING POWER OF SUPPLIERS
           5.13.4 BARGAINING POWER OF BUYERS
           5.13.5 INTENSITY OF COMPETITIVE RIVALRY
    5.14 KEY CONFERENCES AND EVENTS, 2023–2024 
                    TABLE 16 CONFERENCES AND EVENTS, 2023–2024
    5.15 KEY STAKEHOLDERS AND BUYING CRITERIA 
           5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 36 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
                    TABLE 17 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
           5.15.2 BUYING CRITERIA
                    FIGURE 37 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
                    TABLE 18 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
    5.16 TECHNOLOGY ANALYSIS 
           5.16.1 KEY TECHNOLOGY
                    5.16.1.1 Artificial Intelligence and Machine Learning (AI and ML)
                    5.16.1.2 IoT
                    5.16.1.3 Predictive Analytics
           5.16.2 ADJACENT TECHNOLOGY
                    5.16.2.1 Blockchain
                    5.16.2.2 Cloud Computing
                    5.16.2.3 AR/VR
                    5.16.2.4 Digital Twins
    5.17 BUSINESS MODEL ANALYSIS 
           5.17.1 SUPPLY SIDE
           5.17.2 DEMAND SIDE
    5.18 HS CODES (ALTERNATIVE TO TRADE ANALYSIS) 
           5.18.1 EXPORT SCENARIO
                    TABLE 19 EXPORT DATA, BY COUNTRY, 2020-2022 (USD MILLION)
           5.18.2 IMPORT SCENARIO
                    TABLE 20 IMPORT DATA, BY COUNTRY, 2020-2022 (USD MILLION)
 
6 SMART WAREHOUSING MARKET, BY OFFERING (Page No. - 119)
    6.1 INTRODUCTION 
           6.1.1 DRIVERS: MARKET, BY OFFERING
                    FIGURE 38 SMART WAREHOUSING SERVICES TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 21 MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                    TABLE 22 MARKET, BY OFFERING, 2023–2028 (USD MILLION)
    6.2 HARDWARE 
           FIGURE 39 CONVEYOR SYSTEMS SEGMENT TO RECORD HIGHEST CAGR DURING  FORECAST PERIOD
           TABLE 23 HARDWARE: MARKET, BY TYPE, 2017–2022 (USD MILLION)
           TABLE 24 HARDWARE: MARKET, BY TYPE, 2023–2028 (USD MILLION)
           TABLE 25 HARDWARE: MARKET, BY REGION, 2017–2022 (USD MILLION)
           TABLE 26 HARDWARE: SMART WAREHOUSING MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.1 RADIO FREQUENCY IDENTIFICATION SYSTEMS (RFID)
                    TABLE 27 RFID SYSTEMS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 28 RFID SYSTEMS: MARKET, BY REGION, 2023–2028 (USD MILLION)
                    6.2.1.1 Passive RFID
                               6.2.1.1.1 Growing usage due to affordability to drive market
                    6.2.1.2 Active RFID
                               6.2.1.2.1 Increasing adoption of Internet of Things (IoT) to boost demand
           6.2.2 SENSOR NETWORKS
                    TABLE 29 SENSOR NETWORKS: MARKET, BY REGION,  2017–2022 (USD MILLION)
                    TABLE 30 SENSOR NETWORKS: MARKET, BY REGION,  2023–2028 (USD MILLION)
                    6.2.2.1 Environmental Sensors
                               6.2.2.1.1 Growing focus on sustainability to drive demand
                    6.2.2.2 Motion Sensors
                               6.2.2.2.1 Ability to enhance operational efficiency to boost demand
                    6.2.2.3 Proximity Sensors
                               6.2.2.3.1 Rising adoption to reduce energy consumption to drive market
           6.2.3 REAL-TIME LOCATION SYSTEMS (RTLS)
                    TABLE 31 RTLS: SMART WAREHOUSING MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 32 RTLS: MARKET, BY REGION, 2023–2028 (USD MILLION)
                    6.2.3.1 Indoor RTLS
                               6.2.3.1.1 Growing need for precise tracking to fuel market
                    6.2.3.2 Outdoor RTLS
                               6.2.3.2.1 Ability to provide end-to-end visibility to drive demand
                    6.2.3.3 Ultra-Wideband (UWB) RTLS
                               6.2.3.3.1 Need for high precision levels to boost market
           6.2.4 AUTOMATED GUIDED VEHICLES (AGV)
                    TABLE 33 AGV: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 34 AGV: MARKET, BY REGION, 2023–2028 (USD MILLION)
                    6.2.4.1 AGV for Material Handling
                               6.2.4.1.1 Demand for seamless material handling to fuel market
                    6.2.4.2 AGV for Picking
                               6.2.4.2.1 Need to accelerate order fulfillment to drive market
                    6.2.4.3 AGV for Sorting
                               6.2.4.3.1 Growth of omnichannel retailing to fuel demand
           6.2.5 AUTONOMOUS MOBILE ROBOTS (AMR)
                    TABLE 35 AMR: SMART WAREHOUSING MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 36 AMR: MARKET, BY REGION, 2023–2028 (USD MILLION)
                    6.2.5.1 AMR for Inventory Scanning
                               6.2.5.1.1 Need for greater efficiency in inventory management to drive market
                    6.2.5.2 AMR for Order Fulfillment
                               6.2.5.2.1 Booming e-commerce industry to propel market growth
                    6.2.5.3 AMR for Material Handling
                               6.2.5.3.1 Demand for faster delivery times to boost market
           6.2.6 CONVEYOR SYSTEMS
                    TABLE 37 CONVEYOR SYSTEMS: MARKET, BY REGION,  2017–2022 (USD MILLION)
                    TABLE 38 CONVEYOR SYSTEMS: MARKET, BY REGION,  2023–2028 (USD MILLION)
                    6.2.6.1 Belt Conveyors
                               6.2.6.1.1 Demand for quicker material handling to drive market
                    6.2.6.2 Roller Conveyors
                               6.2.6.2.1 High versatility to boost demand
                    6.2.6.3 Slat Conveyors
                               6.2.6.3.1 Suitability to harsh environments to drive demand
           6.2.7 OTHER HARDWARE
                    TABLE 39 OTHER HARDWARE: MARKET, BY REGION,  2017–2022 (USD MILLION)
                    TABLE 40 OTHER HARDWARE: MARKET, BY REGION,  2023–2028 (USD MILLION)
    6.3 SOFTWARE 
           FIGURE 40 INVENTORY MANAGEMENT SOFTWARE TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
           TABLE 41 SOFTWARE: MARKET, BY REGION, 2017–2022 (USD MILLION)
           TABLE 42 SOFTWARE: MARKET, BY REGION, 2023–2028 (USD MILLION)
           TABLE 43 SOFTWARE: MARKET, BY TYPE, 2017–2022 (USD MILLION)
           TABLE 44 SOFTWARE: MARKET, BY TYPE, 2023–2028 (USD MILLION)
           6.3.1 WAREHOUSE MANAGEMENT SYSTEM (WMS)
                    6.3.1.1 Growth of e-commerce to drive market
                               TABLE 45 WMS: SMART WARE HOUSING MARKET, BY REGION,  2017–2022 (USD MILLION)
                               TABLE 46 WMS: MARKET, BY REGION,  2023–2028 (USD MILLION)
           6.3.2 INVENTORY MANAGEMENT SOFTWARE
                    6.3.2.1 Need to optimize inventory control and reduce operational costs to drive demand
                               TABLE 47 INVENTORY MANAGEMENT SOFTWARE: SMART WAREHOUSING MARKET,  BY REGION, 2017–2022 (USD MILLION)
                               TABLE 48 INVENTORY MANAGEMENT SOFTWARE: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.3.3 COLLABORATION AND COMMUNICATION TOOLS
                    6.3.3.1 Rising demand for seamless coordination to fuel market
                               TABLE 49 COLLABORATION AND COMMUNICATION TOOLS: MARKET,  BY REGION, 2017–2022 (USD MILLION)
                               TABLE 50 COLLABORATION AND COMMUNICATION TOOLS: MARKET,  BY REGION, 2023–2028 (USD MILLION)
           6.3.4 SIMULATION AND MODELING SOFTWARE
                    6.3.4.1 Availability of cost-effective testing process to boost market
                               TABLE 51 SIMULATION AND MODELING SOFTWARE: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 52 SIMULATION AND MODELING SOFTWARE: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.3.5 LABOR MANAGEMENT SOFTWARE (LMS)
                    6.3.5.1 Need to improve labor performance to drive market
                               TABLE 53 LABOR MANAGEMENT SOFTWARE: MARKET, BY REGION,  2017–2022 (USD MILLION)
                               TABLE 54 LABOR MANAGEMENT SOFTWARE: MARKET, BY REGION,  2023–2028 (USD MILLION)
           6.3.6 WAREHOUSE CONTROL SYSTEM (WCS)
                    6.3.6.1 Growing adoption of advanced technologies to fuel demand
                               TABLE 55 WCS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 56 WCS: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.3.7 OTHER SOFTWARE
                    TABLE 57 OTHER SOFTWARE: SMART WAREHOUSING MARKET, BY REGION,  2017–2022 (USD MILLION)
                    TABLE 58 OTHER SOFTWARE: MARKET, BY REGION,  2023–2028 (USD MILLION)
    6.4 SMART WAREHOUSING SOFTWARE MARKET,  BY DEPLOYMENT MODE 
           FIGURE 41 CLOUD DEPLOYMENT SEGMENT TO RECORD HIGHER CAGR DURING  FORECAST PERIOD
           TABLE 59 SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE,  2017–2022 (USD MILLION)
           TABLE 60 SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE,  2023–2028 (USD MILLION)
           6.4.1 CLOUD
                    6.4.1.1 Easy scalability and cost-effectiveness to boost demand
                               TABLE 61 CLOUD: SMART WAREHOUSING SOFTWARE MARKET, BY REGION,  2017–2022 (USD MILLION)
                               TABLE 62 CLOUD: SMART WAREHOUSING SOFTWARE MARKET, BY REGION,  2023–2028 (USD MILLION)
           6.4.2 ON-PREMISES
                    6.4.2.1 Reduced security risk to drive adoption
                               TABLE 63 ON-PREMISES: SMART WAREHOUSING SOFTWARE MARKET, BY REGION,  2017–2022 (USD MILLION)
                               TABLE 64 ON-PREMISES: SMART WAREHOUSING SOFTWARE MARKET, BY REGION,  2023–2028 (USD MILLION)
    6.5 SERVICES 
           FIGURE 42 MANAGED SERVICES SEGMENT TO RECORD HIGHER CAGR DURING FORECAST PERIOD
           TABLE 65 SERVICES: MARKET, BY TYPE, 2017–2022 (USD MILLION)
           TABLE 66 SMART WAREHOUSING SERVICES MARKET, BY TYPE, 2023–2028 (USD MILLION)
           TABLE 67 SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
           TABLE 68 SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.5.1 PROFESSIONAL SERVICES
                    FIGURE 43 SUPPORT & MAINTENANCE SERVICES TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 69 PROFESSIONAL SERVICES: MARKET, BY TYPE,  2017–2022 (USD MILLION)
                    TABLE 70 PROFESSIONAL SERVICES: SMART WAREHOUSING MARKET, BY TYPE,  2023–2028 (USD MILLION)
                    TABLE 71 PROFESSIONAL SERVICES: MARKET, BY REGION,  2017–2022 (USD MILLION)
                    TABLE 72 PROFESSIONAL SERVICES: MARKET, BY REGION,  2023–2028 (USD MILLION)
                    6.5.1.1 Training & Consulting
                               6.5.1.1.1 Rising need for specialized knowledge to fuel market
                               TABLE 73 TRAINING & CONSULTING SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 74 TRAINING & CONSULTING SERVICES: MARKET, BY REGION,  2023–2028 (USD MILLION)
                    6.5.1.2 System Integration & Implementation
                               6.5.1.2.1 Need for seamless integration of solutions into IT environment to drive demand
                               TABLE 75 SYSTEM INTEGRATION & IMPLEMENTATION SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 76 SYSTEM INTEGRATION & IMPLEMENTATION SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
                    6.5.1.3 Support & Maintenance
                               6.5.1.3.1 Requirement for regular maintenance and upgrades to boost market
                               TABLE 77 SUPPORT & MAINTENANCE SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 78 SUPPORT & MAINTENANCE SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.5.2 MANAGED SERVICES
                    TABLE 79 MANAGED SERVICES: MARKET, BY REGION,  2017–2022 (USD MILLION)
                    TABLE 80 MANAGED SERVICES: MARKET, BY REGION,  2023–2028 (USD MILLION)
 
7 SMART WAREHOUSING MARKET, BY TECHNOLOGY (Page No. - 153)
    7.1 INTRODUCTION 
           7.1.1 DRIVERS: MARKET, BY TECHNOLOGY
                    FIGURE 44 IOT SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 81 MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                    TABLE 82 MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
    7.2 IOT 
           7.2.1 RISING NEED FOR IOT-POWERED PREDICTIVE MAINTENANCE TO DRIVE MARKET
                    TABLE 83 IOT: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 84 IOT: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.3 ROBOTICS AND AUTOMATION 
           7.3.1 ABILITY TO IMPROVE OPERATIONAL EFFICIENCY TO DRIVE MARKET
                    TABLE 85 ROBOTICS AND AUTOMATION: MARKET, BY REGION,  2017–2022 (USD MILLION)
                    TABLE 86 ROBOTICS AND AUTOMATION: SMART WAREHOUSING MARKET, BY REGION,  2023–2028 (USD MILLION)
    7.4 AI AND ANALYTICS 
           7.4.1 SIGNIFICANT OPTIMIZATION OF INVENTORY MANAGEMENT TO BOOST DEMAND
                    TABLE 87 AI AND ANALYTICS: MARKET, BY REGION,  2017–2022 (USD MILLION)
                    TABLE 88 AI AND ANALYTICS: MARKET, BY REGION,  2023–2028 (USD MILLION)
    7.5 NETWORKING AND COMMUNICATION 
           7.5.1 INCREASING DEMAND FOR CONNECTIVITY TO FUEL MARKET
                    TABLE 89 NETWORKING AND COMMUNICATION: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 90 NETWORKING AND COMMUNICATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.6 AR AND VR 
           7.6.1 POTENTIAL TO IMPROVE WORKER PRODUCTIVITY TO BOOST DEMAND
                    TABLE 91 AR AND VR: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 92 AR AND VR: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.7 OTHER TECHNOLOGIES 
           TABLE 93 OTHER TECHNOLOGIES: MARKET, BY REGION,  2017–2022 (USD MILLION)
           TABLE 94 OTHER TECHNOLOGIES: MARKET, BY REGION,  2023–2028 (USD MILLION)
 
8 SMART WAREHOUSING MARKET, BY APPLICATION (Page No. - 162)
    8.1 INTRODUCTION 
           8.1.1 DRIVERS: MARKET, BY APPLICATION
                    FIGURE 45 PREDICTIVE ANALYTICS APPLICATION TO RECORD HIGHEST GROWTH DURING FORECAST PERIOD
                    TABLE 95 MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                    TABLE 96 MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
    8.2 INVENTORY MANAGEMENT 
           TABLE 97 INVENTORY MANAGEMENT: MARKET, BY REGION,  2017–2022 (USD MILLION)
           TABLE 98 INVENTORY MANAGEMENT: MARKET, BY REGION,  2023–2028 (USD MILLION)
           8.2.1 REAL-TIME INVENTORY TRACKING
                    8.2.1.1 Barcode Scanning
                               8.2.1.1.1 Increasing adoption of real-time scanning to drive market
                    8.2.1.2 RFID-based Tracking
                               8.2.1.2.1 Need for error-free workflows to boost market
                    8.2.1.3 GPS-based Tracking
                               8.2.1.3.1 Growing demand for end-to-end visibility and timely deliveries to fuel market
           8.2.2 INVENTORY OPTIMIZATION
                    8.2.2.1 Dynamic Reordering
                               8.2.2.1.1 Need for just-in-time replenishment of goods to drive market
                    8.2.2.2 Safety Stock Management
                               8.2.2.2.1 Ability to prevent stockouts and supply chain disruptions to drive demand
                    8.2.2.3 Demand Sensing
                               8.2.2.3.1 Rising demand from retail industry to drive market growth
    8.3 ORDER FULFILLMENT 
           TABLE 99 ORDER FULFILLMENT: SMART WAREHOUSING MARKET, BY REGION,  2017–2022 (USD MILLION)
           TABLE 100 ORDER FULFILLMENT: MARKET, BY REGION,  2023–2028 (USD MILLION)
           8.3.1 PICKING AND PACKING AUTOMATION
                    8.3.1.1 Robotic Pickers
                               8.3.1.1.1 Need for faster order fulfillment to boost demand
                    8.3.1.2 Goods-to-Person Systems
                               8.3.1.2.1 Ability to increase storage density within warehouses to fuel demand
                    8.3.1.3 Collaborative Robots (Cobots)
                               8.3.1.3.1 Suitability to repetitive tasks to boost demand
           8.3.2 ORDER ROUTING AND OPTIMIZATION
                    8.3.2.1 Route Planning Algorithms
                               8.3.2.1.1 Increasing demand for swift deliveries to drive adoption
                    8.3.2.2 Multi-channel Order Management
                               8.3.2.2.1 Rising popularity of omnichannel retailing to push demand
                    8.3.2.3 Dynamic Slotting
                               8.3.2.3.1 Need to adapt to changing product mixes to drive market
    8.4 ASSET TRACKING 
           TABLE 101 ASSET TRACKING: SMART WAREHOUSING MARKET, BY REGION,  2017–2022 (USD MILLION)
           TABLE 102 ASSET TRACKING: MARKET, BY REGION,  2023–2028 (USD MILLION)
           8.4.1 EQUIPMENT AND VEHICLE TRACKING
                    8.4.1.1 GPS Tracking
                               8.4.1.1.1 Rising demand for real-time visibility to boost market
                    8.4.1.2 Telematics Systems
                               8.4.1.2.1 Need for insights into vehicle performance and driver behavior to push demand
                    8.4.1.3 Condition Monitoring
                               8.4.1.3.1 Potential for continuous monitoring of equipment to drive market
           8.4.2 PRODUCT AND PACKAGE TRACKING
                    8.4.2.1 RFID Tagging
                               8.4.2.1.1 Affordability and versatility to boost demand
                    8.4.2.2 Smart Packaging
                               8.4.2.2.1 Growing usage to reduce product spoilage to drive market
                    8.4.2.3 Blockchain-based Tracking
                               8.4.2.3.1 Need for transparency in food and pharmaceutical industries to encourage adoption
    8.5 PREDICTIVE ANALYTICS 
           TABLE 103 PREDICTIVE ANALYTICS: SMART WAREHOUSING MARKET, BY REGION,  2017–2022 (USD MILLION)
           TABLE 104 PREDICTIVE ANALYTICS: MARKET, BY REGION,  2023–2028 (USD MILLION)
           8.5.1 DEMAND FORECASTING MODELS
                    8.5.1.1 Machine Learning-based Forecasting
                               8.5.1.1.1 Ability to optimize inventory management to fuel demand
                    8.5.1.2 Time Series Analysis
                               8.5.1.2.1 Potential to facilitate predictive maintenance to encourage adoption
                    8.5.1.3 Bayesian Forecasting
                               8.5.1.3.1 Need for risk management and scenario planning to drive demand
           8.5.2 PREDICTIVE MAINTENANCE
                    8.5.2.1 Sensor-based Predictive Maintenance
                               8.5.2.1.1 Ability to prevent costly breakdowns to propel demand
                    8.5.2.2 AI-driven Predictive Maintenance
                               8.5.2.2.1 Increasing adoption to predict equipment failures to drive market
                    8.5.2.3 Failure Mode and Effects Analysis (FMEA)
                               8.5.2.3.1 Growing need to address vulnerabilities to push adoption
    8.6 OTHER APPLICATIONS 
           TABLE 105 OTHER APPLICATIONS: MARKET, BY REGION,  2017–2022 (USD MILLION)
           TABLE 106 OTHER APPLICATIONS MARKET, BY REGION, 2023–2028 (USD MILLION)
 
9 SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE (Page No. - 177)
    9.1 INTRODUCTION 
           9.1.1 DRIVERS: MARKET, BY WAREHOUSE SIZE
                    FIGURE 46 SMALL WAREHOUSES TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 107 MARKET, BY WAREHOUSE SIZE, 2017–2022 (USD MILLION)
                    TABLE 108 MARKET, BY WAREHOUSE SIZE, 2023–2028 (USD MILLION)
    9.2 SMALL 
           TABLE 109 SMALL WAREHOUSES: MARKET, BY REGION,  2017–2022 (USD MILLION)
           TABLE 110 SMALL WAREHOUSES: MARKET, BY REGION,  2023–2028 (USD MILLION)
           9.2.1 MICRO WAREHOUSES
                    9.2.1.1 Increasing demand for quicker last-mile delivery services to boost market
           9.2.2 SMALL-SCALE DISTRIBUTION CENTERS
                    9.2.2.1 Potential to streamline logistics operations to drive market
    9.3 MEDIUM 
           TABLE 111 MEDIUM WAREHOUSES: SMART WAREHOUSING MARKET, BY REGION,  2017–2022 (USD MILLION)
           TABLE 112 MEDIUM WAREHOUSES: MARKET, BY REGION,  2023–2028 (USD MILLION)
           9.3.1 REGIONAL WAREHOUSES
                    9.3.1.1 Increasing demand for same-day deliveries to boost market
           9.3.2 CROSS-DOCKING FACILITIES
                    9.3.2.1 Rising demand for speedy shipping to drive market growth
    9.4 LARGE 
           TABLE 113 LARGE WAREHOUSES: MARKET, BY REGION,  2017–2022 (USD MILLION)
           TABLE 114 LARGE WAREHOUSES: MARKET, BY REGION,  2023–2028 (USD MILLION)
           9.4.1 NATIONAL DISTRIBUTION CENTERS
                    9.4.1.1 Demand for faster order fulfillment to fuel market
           9.4.2 MEGA WAREHOUSES
                    9.4.2.1 Surge in e-commerce to create demand for mega storage spaces
 
10 SMART WAREHOUSING MARKET, BY VERTICAL (Page No. - 184)
     10.1 INTRODUCTION 
             10.1.1 DRIVERS: MARKET, BY VERTICAL
                       FIGURE 47 HEALTHCARE AND LIFE SCIENCES VERTICAL TO WITNESS HIGHEST GROWTH DURING FORECAST PERIOD
                       TABLE 115 MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 116 MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
     10.2 TRANSPORTATION AND LOGISTICS 
               TABLE 117 TRANSPORTATION AND LOGISTICS: MARKET, BY REGION,  2017–2022 (USD MILLION)
               TABLE 118 TRANSPORTATION AND LOGISTICS: MARKET, BY REGION,  2023–2028 (USD MILLION)
             10.2.1 THIRD-PARTY LOGISTICS (3PL) COMPANIES
                       10.2.1.1 Rising demand for e-commerce fulfillment services to spur market growth
             10.2.2 FREIGHT FORWARDERS
                       10.2.2.1 Focus on sustainability and green logistics to drive market
             10.2.3 LAST-MILE DELIVERY PROVIDERS
                       10.2.3.1 Rising demand for same-day deliveries to propel demand
     10.3 MANUFACTURING 
               TABLE 119 MANUFACTURING: SMART WAREHOUSING MARKET, BY REGION,  2017–2022 (USD MILLION)
               TABLE 120 MANUFACTURING: MARKET, BY REGION,  2023–2028 (USD MILLION)
             10.3.1 DISCRETE
                       10.3.1.1 Shift toward cloud-based smart warehousing solutions to drive market
             10.3.2 PROCESS
                       10.3.2.1 Need to improve operational efficiency and meet regulatory requirements to boost demand
     10.4 HEALTHCARE AND LIFE SCIENCES 
               TABLE 121 HEALTHCARE AND LIFE SCIENCES: MARKET, BY REGION,  2017–2022 (USD MILLION)
               TABLE 122 HEALTHCARE AND LIFE SCIENCES: MARKET, BY REGION,  2023–2028 (USD MILLION)
             10.4.1 PHARMACEUTICAL WAREHOUSING
                       10.4.1.1 Pressure to optimize supply chains to drive demand
             10.4.2 MEDICAL DEVICE WAREHOUSING
                       10.4.2.1 Demand for agile and responsive supply chains to fuel market
             10.4.3 HOSPITAL SUPPLY CHAIN MANAGEMENT
                       10.4.3.1 Focus on cost-effective healthcare delivery to boost adoption
     10.5 FOOD AND BEVERAGES 
               TABLE 123 FOOD AND BEVERAGES: SMART WAREHOUSING MARKET, BY REGION,  2017–2022 (USD MILLION)
               TABLE 124 FOOD AND BEVERAGES: MARKET, BY REGION,  2023–2028 (USD MILLION)
             10.5.1 COLD CHAIN LOGISTICS
                       10.5.1.1 Potential to reduce risk of human error to drive demand
             10.5.2 NON-PERISHABLE LOGISTICS
                       10.5.2.1 E-commerce boom to encourage adoption
     10.6 RETAIL AND E-COMMERCE 
               TABLE 125 RETAIL AND E-COMMERCE: MARKET, BY REGION,  2017–2022 (USD MILLION)
               TABLE 126 RETAIL AND E-COMMERCE: MARKET, BY REGION,  2023–2028 (USD MILLION)
             10.6.1 BRICK AND MORTAR RETAIL
             10.6.2 E-COMMERCE RETAIL
                       10.6.2.1 Online Marketplaces
                                   10.6.2.1.1 Need for increased efficiency and sustainability to drive market
                       10.6.2.2 Direct-to-Consumer (DTC) Brands
                                   10.6.2.2.1 Growing demand for customization to drive market
     10.7 ENERGY AND UTILITIES 
               TABLE 127 ENERGY AND UTILITIES: SMART WAREHOUSING MARKET, BY REGION,  2017–2022 (USD MILLION)
               TABLE 128 ENERGY AND UTILITIES: MARKET, BY REGION,  2023–2028 (USD MILLION)
             10.7.1 OIL AND GAS
                       10.7.1.1 Potential to facilitate predictive maintenance to drive demand
             10.7.2 RENEWABLE ENERGY
                       10.7.2.1 Need for efficient storage facilities to fuel demand
             10.7.3 UTILITIES
                       10.7.3.1 Requirement for real-time monitoring to encourage adoption
             10.7.4 MINING AND RESOURCES
                       10.7.4.1 Ability to monitor environmental conditions and ensure worker safety to drive demand
     10.8 AGRICULTURE 
               TABLE 129 AGRICULTURE: MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 130 AGRICULTURE: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.9 OTHER VERTICALS 
               TABLE 131 OTHER VERTICALS: MARKET, BY REGION,  2017–2022 (USD MILLION)
               TABLE 132 OTHER VERTICALS: MARKET, BY REGION,  2023–2028 (USD MILLION)
 
11 SMART WAREHOUSING MARKET, BY REGION (Page No. - 199)
     11.1 INTRODUCTION 
               FIGURE 48 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
               FIGURE 49 INDIA TO WITNESS HIGHEST GROWTH DURING FORECAST PERIOD
               TABLE 133 MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 134 MARKET, BY REGION, 2023–2028 (USD MILLION)
     11.2 NORTH AMERICA 
             11.2.1 NORTH AMERICA: MARKET DRIVERS
             11.2.2 NORTH AMERICA: RECESSION IMPACT
                       FIGURE 50 NORTH AMERICA: SMART WAREHOUSING MARKET SNAPSHOT
                       TABLE 135 NORTH AMERICA: MARKET, BY OFFERING,  2017–2022 (USD MILLION)
                       TABLE 136 NORTH AMERICA: MARKET, BY OFFERING,  2023–2028 (USD MILLION)
                       TABLE 137 NORTH AMERICA: MARKET, BY SOFTWARE,  2017–2022 (USD MILLION)
                       TABLE 138 NORTH AMERICA: MARKET, BY SOFTWARE,  2023–2028 (USD MILLION)
                       TABLE 139 NORTH AMERICA: MARKET, BY HARDWARE,  2017–2022 (USD MILLION)
                       TABLE 140 NORTH AMERICA: MARKET, BY HARDWARE,  2023–2028 (USD MILLION)
                       TABLE 141 NORTH AMERICA: MARKET, BY SERVICE,  2017–2022 (USD MILLION)
                       TABLE 142 NORTH AMERICA: MARKET, BY SERVICE,  2023–2028 (USD MILLION)
                       TABLE 143 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE,  2017–2022 (USD MILLION)
                       TABLE 144 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE,  2023–2028 (USD MILLION)
                       TABLE 145 NORTH AMERICA: SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 146 NORTH AMERICA: SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 147 NORTH AMERICA: MARKET, BY WAREHOUSE SIZE,  2017–2022 (USD MILLION)
                       TABLE 148 NORTH AMERICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE,  2023–2028 (USD MILLION)
                       TABLE 149 NORTH AMERICA: MARKET, BY TECHNOLOGY,  2017–2022 (USD MILLION)
                       TABLE 150 NORTH AMERICA: MARKET, BY TECHNOLOGY,  2023–2028 (USD MILLION)
                       TABLE 151 NORTH AMERICA: MARKET, BY APPLICATION,  2017–2022 (USD MILLION)
                       TABLE 152 NORTH AMERICA: MARKET, BY APPLICATION,  2023–2028 (USD MILLION)
                       TABLE 153 NORTH AMERICA: MARKET, BY VERTICAL,  2017–2022 (USD MILLION)
                       TABLE 154 NORTH AMERICA: MARKET, BY VERTICAL,  2023–2028 (USD MILLION)
                       TABLE 155 NORTH AMERICA: MARKET, BY COUNTRY,  2017–2022 (USD MILLION)
                       TABLE 156 NORTH AMERICA: MARKET, BY COUNTRY,  2023–2028 (USD MILLION)
             11.2.3 US
                       11.2.3.1 Need for faster and more efficient supply chain operations to drive market
             11.2.4 CANADA
                       11.2.4.1 Booming e-commerce industry to increase demand for smart warehousing
     11.3 EUROPE 
             11.3.1 EUROPE: MARKET DRIVERS
             11.3.2 EUROPE: RECESSION IMPACT
                       TABLE 157 EUROPE: SMART WAREHOUSING MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 158 EUROPE: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 159 EUROPE: MARKET, BY SOFTWARE, 2017–2022 (USD MILLION)
                       TABLE 160 EUROPE: MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
                       TABLE 161 EUROPE: MARKET, BY HARDWARE, 2017–2022 (USD MILLION)
                       TABLE 162 EUROPE: MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
                       TABLE 163 EUROPE: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 164 EUROPE: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 165 EUROPE: MARKET, BY PROFESSIONAL SERVICE,  2017–2022 (USD MILLION)
                       TABLE 166 EUROPE: MARKET, BY PROFESSIONAL SERVICE,  2023–2028 (USD MILLION)
                       TABLE 167 EUROPE: SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE,  2017–2022 (USD MILLION)
                       TABLE 168 EUROPE: SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE,  2023–2028 (USD MILLION)
                       TABLE 169 EUROPE: MARKET, BY WAREHOUSE SIZE,  2017–2022 (USD MILLION)
                       TABLE 170 EUROPE: MARKET, BY WAREHOUSE SIZE,  2023–2028 (USD MILLION)
                       TABLE 171 EUROPE: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 172 EUROPE: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                       TABLE 173 EUROPE: SMART WAREHOUSING MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 174 EUROPE: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 175 EUROPE: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 176 EUROPE: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 177 EUROPE: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 178 EUROPE: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.3.3 UK
                       11.3.3.1 Increasing need for efficient order fulfillment solutions to drive market
             11.3.4 GERMANY
                       11.3.4.1 Rising focus on automation in manufacturing and logistics to fuel market
             11.3.5 FRANCE
                       11.3.5.1 Growing logistics and retail sectors to boost demand
             11.3.6 SPAIN
                       11.3.6.1 Increasing adoption of AI & ML to boost market
             11.3.7 ITALY
                       11.3.7.1 Emphasis on digital transformation in logistics sector to drive demand
             11.3.8 REST OF EUROPE
     11.4 ASIA PACIFIC 
             11.4.1 ASIA PACIFIC: MARKET DRIVERS
             11.4.2 ASIA PACIFIC: RECESSION IMPACT
                       FIGURE 51 ASIA PACIFIC: SMART WAREHOUSING MARKET SNAPSHOT
                       TABLE 179 ASIA PACIFIC: MARKET, BY OFFERING,  2017–2022 (USD MILLION)
                       TABLE 180 ASIA PACIFIC: MARKET, BY OFFERING,  2023–2028 (USD MILLION)
                       TABLE 181 ASIA PACIFIC: MARKET, BY SOFTWARE,  2017–2022 (USD MILLION)
                       TABLE 182 ASIA PACIFIC: MARKET, BY SOFTWARE,  2023–2028 (USD MILLION)
                       TABLE 183 ASIA PACIFIC: MARKET, BY HARDWARE,  2017–2022 (USD MILLION)
                       TABLE 184 ASIA PACIFIC: MARKET, BY HARDWARE,  2023–2028 (USD MILLION)
                       TABLE 185 ASIA PACIFIC: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 186 ASIA PACIFIC: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 187 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE,  2017–2022 (USD MILLION)
                       TABLE 188 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE,  2023–2028 (USD MILLION)
                       TABLE 189 ASIA PACIFIC: SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 190 ASIA PACIFIC: SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 191 ASIA PACIFIC: MARKET, BY WAREHOUSE SIZE,  2017–2022 (USD MILLION)
                       TABLE 192 ASIA PACIFIC: MARKET, BY WAREHOUSE SIZE,  2023–2028 (USD MILLION)
                       TABLE 193 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY TECHNOLOGY,  2017–2022 (USD MILLION)
                       TABLE 194 ASIA PACIFIC: MARKET, BY TECHNOLOGY,  2023–2028 (USD MILLION)
                       TABLE 195 ASIA PACIFIC: MARKET, BY APPLICATION,  2017–2022 (USD MILLION)
                       TABLE 196 ASIA PACIFIC: MARKET, BY APPLICATION,  2023–2028 (USD MILLION)
                       TABLE 197 ASIA PACIFIC: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 198 ASIA PACIFIC: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 199 ASIA PACIFIC: MARKET, BY COUNTRY/REGION,  2017–2022 (USD MILLION)
                       TABLE 200 ASIA PACIFIC: MARKET, BY COUNTRY/REGION,  2023–2028 (USD MILLION)
             11.4.3 CHINA
                       11.4.3.1 Rising need for warehouse automation to drive market
             11.4.4 JAPAN
                       11.4.4.1 Growing e-commerce industry to boost adoption of smart warehousing solutions
             11.4.5 INDIA
                       11.4.5.1 Increasing need for faster delivery processes to drive market
             11.4.6 SOUTH KOREA
                       11.4.6.1 Rapid integration of automation and robotics in warehouses to drive market
             11.4.7 AUSTRALIA & NEW ZEALAND
                       11.4.7.1 Commitment to sustainability to encourage adoption of eco-friendly warehousing solutions
             11.4.8 ASEAN COUNTRIES
                       11.4.8.1 Surge in adoption of smart warehousing to drive market
             11.4.9 REST OF ASIA PACIFIC
     11.5 MIDDLE EAST & AFRICA 
             11.5.1 MIDDLE EAST & AFRICA: MARKET DRIVERS
             11.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT
                       TABLE 201 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY OFFERING,  2017–2022 (USD MILLION)
                       TABLE 202 MIDDLE EAST & AFRICA: MARKET, BY OFFERING,  2023–2028 (USD MILLION)
                       TABLE 203 MIDDLE EAST & AFRICA: MARKET, BY HARDWARE,  2017–2022 (USD MILLION)
                       TABLE 204 MIDDLE EAST & AFRICA: MARKET, BY HARDWARE,  2023–2028 (USD MILLION)
                       TABLE 205 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE,  2017–2022 (USD MILLION)
                       TABLE 206 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE,  2023–2028 (USD MILLION)
                       TABLE 207 MIDDLE EAST & AFRICA: MARKET, BY SERVICE,  2017–2022 (USD MILLION)
                       TABLE 208 MIDDLE EAST & AFRICA: MARKET, BY SERVICES,  2023–2028 (USD MILLION)
                       TABLE 209 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 210 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                       TABLE 211 MIDDLE EAST & AFRICA: SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 212 MIDDLE EAST & AFRICA: SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 213 MIDDLE EAST & AFRICA: MARKET, BY WAREHOUSE SIZE,  2017–2022 (USD MILLION)
                       TABLE 214 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE,  2023–2028 (USD MILLION)
                       TABLE 215 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY,  2017–2022 (USD MILLION)
                       TABLE 216 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY,  2023–2028 (USD MILLION)
                       TABLE 217 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION,  2017–2022 (USD MILLION)
                       TABLE 218 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION,  2023–2028 (USD MILLION)
                       TABLE 219 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL,  2017–2022 (USD MILLION)
                       TABLE 220 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL,  2023–2028 (USD MILLION)
                       TABLE 221 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY,  2017–2022 (USD MILLION)
                       TABLE 222 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY,  2023–2028 (USD MILLION)
             11.5.3 UAE
                       11.5.3.1 Government initiatives to boost market
             11.5.4 SAUDI ARABIA
                       11.5.4.1 Investments in logistics infrastructure and digitalization to drive market growth
             11.5.5 SOUTH AFRICA
                       11.5.5.1 Focus on improving logistics infrastructure to bolster demand
             11.5.6 ISRAEL
                       11.5.6.1 Increasing use of AI-driven predictive analytics to drive market
             11.5.7 REST OF MIDDLE EAST & AFRICA
     11.6 LATIN AMERICA 
             11.6.1 LATIN AMERICA: MARKET DRIVERS
             11.6.2 LATIN AMERICA: RECESSION IMPACT
                       TABLE 223 LATIN AMERICA: SMART WAREHOUSING MARKET, BY OFFERING,  2017–2022 (USD MILLION)
                       TABLE 224 LATIN AMERICA: MARKET, BY OFFERING,  2023–2028 (USD MILLION)
                       TABLE 225 LATIN AMERICA: MARKET, BY SOFTWARE,  2017–2022 (USD MILLION)
                       TABLE 226 LATIN AMERICA: MARKET, BY SOFTWARE,  2023–2028 (USD MILLION)
                       TABLE 227 LATIN AMERICA: MARKET, BY HARDWARE,  2017–2022 (USD MILLION)
                       TABLE 228 LATIN AMERICA: MARKET, BY HARDWARE,  2023–2028 (USD MILLION)
                       TABLE 229 LATIN AMERICA: MARKET, BY SERVICE,  2017–2022 (USD MILLION)
                       TABLE 230 LATIN AMERICA: MARKET, BY SERVICE,  2023–2028 (USD MILLION)
                       TABLE 231 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE,  2017–2022 (USD MILLION)
                       TABLE 232 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE,  2023–2028 (USD MILLION)
                       TABLE 233 LATIN AMERICA: SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 234 LATIN AMERICA: SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 235 LATIN AMERICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE,  2017–2022 (USD MILLION)
                       TABLE 236 LATIN AMERICA: MARKET, BY WAREHOUSE SIZE,  2023–2028 (USD MILLION)
                       TABLE 237 LATIN AMERICA: MARKET, BY TECHNOLOGY,  2017–2022 (USD MILLION)
                       TABLE 238 LATIN AMERICA: MARKET, BY TECHNOLOGY,  2023–2028 (USD MILLION)
                       TABLE 239 LATIN AMERICA: MARKET, BY APPLICATION,  2017–2022 (USD MILLION)
                       TABLE 240 LATIN AMERICA: MARKET, BY APPLICATION,  2023–2028 (USD MILLION)
                       TABLE 241 LATIN AMERICA: MARKET, BY VERTICAL,  2017–2022 (USD MILLION)
                       TABLE 242 LATIN AMERICA: MARKET, BY VERTICAL,  2023–2028 (USD MILLION)
                       TABLE 243 LATIN AMERICA: MARKET, BY COUNTRY,  2017–2022 (USD MILLION)
                       TABLE 244 LATIN AMERICA: MARKET, BY COUNTRY,  2023–2028 (USD MILLION)
             11.6.3 BRAZIL
                       11.6.3.1 Government initiatives to promote digital transformation to drive market
             11.6.4 MEXICO
                       11.6.4.1 Demand from automotive and electronics sectors to fuel market
             11.6.5 ARGENTINA
                       11.6.5.1 Need to improve supply chain efficiency to bolster demand
             11.6.6 REST OF LATIN AMERICA
 
12 COMPETITIVE LANDSCAPE (Page No. - 254)
     12.1 OVERVIEW 
     12.2 STRATEGIES ADOPTED BY KEY PLAYERS 
               TABLE 245 OVERVIEW OF STRATEGIES ADOPTED BY KEY SMART WAREHOUSING VENDORS
     12.3 BUSINESS SEGMENT REVENUE ANALYSIS 
             12.3.1 BUSINESS SEGMENT REVENUE ANALYSIS
                       FIGURE 52 BUSINESS SEGMENT REVENUE ANALYSIS, 2020-2022 (USD BILLION)
                       TABLE 246 MARKET: BUSINESS SEGMENT REVENUE ANALYSIS
     12.4 MARKET SHARE ANALYSIS 
               FIGURE 53 MARKET SHARE ANALYSIS FOR KEY COMPANIES, 2022
               TABLE 247 SMART WAREHOUSING MARKET: DEGREE OF COMPETITION
     12.5 COMPANY EVALUATION MATRIX, 2022 
             12.5.1 STARS
             12.5.2 EMERGING LEADERS
             12.5.3 PERVASIVE PLAYERS
             12.5.4 PARTICIPANTS
                       FIGURE 54 COMPANY EVALUATION MATRIX (KEY PLAYERS), 2022
             12.5.5 COMPANY FOOTPRINT
                       TABLE 248 OVERALL PRODUCT FOOTPRINT ANALYSIS (KEY PLAYERS), 2022
                       TABLE 249 OVERALL PRODUCT FOOTPRINT ANALYSIS (OTHER KEY PLAYERS), 2022
     12.6 STARTUP/SME EVALUATION MATRIX 
             12.6.1 PROGRESSIVE COMPANIES
             12.6.2 RESPONSIVE COMPANIES
             12.6.3 DYNAMIC COMPANIES
             12.6.4 STARTING BLOCKS
                       FIGURE 55 COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2022
             12.6.5 COMPETITIVE BENCHMARKING
                       TABLE 250 KEY STARTUPS/SMES
                       TABLE 251 PRODUCT FOOTPRINT ANALYSIS OF STARTUPS/SMES, 2022
     12.7 BRAND/PRODUCT COMPARATIVE ANALYSIS 
             12.7.1 COMPARATIVE ANALYSIS OF SMART WAREHOUSING PRODUCTS
                       TABLE 252 COMPARATIVE ANALYSIS OF TRENDING SMART WAREHOUSING PRODUCTS
                       TABLE 253 COMPARATIVE ANALYSIS OF OTHER KEY SMART WAREHOUSING PRODUCTS
     12.8 VALUATION AND FINANCIAL METRICS OF KEY SMART WAREHOUSING VENDORS 
               FIGURE 56 FINANCIAL METRICS OF KEY SMART WAREHOUSING VENDORS
               FIGURE 57 YTD PRICE TOTAL RETURN AND STOCK BETA OF KEY SMART WAREHOUSING VENDORS
     12.9 COMPETITIVE SCENARIO AND TRENDS 
             12.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 254 PRODUCT LAUNCHES AND ENHANCEMENTS, 2022–2023
             12.9.2 DEALS
                       TABLE 255 DEALS, 2021–2023
 
13 COMPANY PROFILES (Page No. - 273)
(Business overview, Products/Solutions/Services offered, Recent Developments, MNM view)*
     13.1 INTRODUCTION 
     13.2 KEY PLAYERS 
             13.2.1 MANHATTAN ASSOCIATES
                       TABLE 256 MANHATTAN ASSOCIATES: BUSINESS OVERVIEW
                       FIGURE 58 MANHATTAN ASSOCIATES: COMPANY SNAPSHOT
                       TABLE 257 MANHATTAN ASSOCIATES: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 258 MANHATTAN ASSOCIATES: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 259 MANHATTAN ASSOCIATES: DEALS
             13.2.2 KÖRBER
                       TABLE 260 KÖRBER: BUSINESS OVERVIEW
                       TABLE 261 KÖRBER: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 262 KÖRBER: DEALS
             13.2.3 ORACLE
                       TABLE 263 ORACLE: BUSINESS OVERVIEW
                       FIGURE 59 ORACLE: COMPANY SNAPSHOT
                       TABLE 264 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 265 ORACLE: DEALS
             13.2.4 SAP
                       TABLE 266 SAP: BUSINESS OVERVIEW
                       FIGURE 60 SAP: COMPANY SNAPSHOT
                       TABLE 267 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 268 SAP: DEALS
             13.2.5 TECSYS
                       TABLE 269 TECSYS: BUSINESS OVERVIEW
                       FIGURE 61 TECSYS: COMPANY SNAPSHOT
                       TABLE 270 TECSYS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 271 TECSYS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 272 TECSYS: DEALS
             13.2.6 PSI LOGISTICS
                       TABLE 273 PSI LOGISTICS: BUSINESS OVERVIEW
                       FIGURE 62 PSI LOGISTICS: COMPANY SNAPSHOT
                       TABLE 274 PSI LOGISTICS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 275 PSI LOGISTICS: DEALS
             13.2.7 PTC
                       TABLE 276 PTC: BUSINESS OVERVIEW
                       FIGURE 63 PTC: COMPANY SNAPSHOT
                       TABLE 277 PTC: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 278 PTC: DEALS
             13.2.8 REPLY
                       TABLE 279 REPLY: BUSINESS OVERVIEW
                       FIGURE 64 REPLY: COMPANY SNAPSHOT
                       TABLE 280 REPLY: PRODUCTS/SOLUTIONS/SERVICES OFFERED
             13.2.9 INFOR
                       TABLE 281 INFOR: BUSINESS OVERVIEW
                       TABLE 282 INFOR: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 283 INFOR: DEALS
             13.2.10 IBM
                       TABLE 284 IBM: BUSINESS OVERVIEW
                       FIGURE 65 IBM: COMPANY SNAPSHOT
                       TABLE 285 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 286 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 287 IBM: DEALS
             13.2.11 BLUE YONDER
                       TABLE 288 BLUE YONDER: BUSINESS OVERVIEW
                       TABLE 289 BLUE YONDER: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 290 BLUE YONDER: DEALS
*Details on Business overview, Products/Solutions/Services offered, Recent Developments, MNM view might not be captured in case of unlisted companies.
     13.3 OTHER KEY PLAYERS 
             13.3.1 GENERIX GROUP
             13.3.2 MICROLISTICS
             13.3.3 ABB
             13.3.4 MICROSOFT
             13.3.5 EPICOR
             13.3.6 MADE4NET
             13.3.7 MANTIS
             13.3.8 SOFTEON
             13.3.9 SYNERGY LOGISTICS
             13.3.10 E2OPEN
             13.3.11 VINCULUM
             13.3.12 MECALUX
             13.3.13 SSI SCHAEFER
     13.4 STARTUP/SME PROFILES 
             13.4.1 WAREIQ
             13.4.2 FOYSONIS
             13.4.3 INCREFF
             13.4.4 LOCUS ROBOTICS
             13.4.5 SHIPHERO
             13.4.6 CIN7 ORDERHIVE
             13.4.7 EASYECOM
             13.4.8 UNICOMMERCE
             13.4.9 IAM ROBOTICS
             13.4.10 LOGIWA
 
14 ADJACENT AND RELATED MARKETS (Page No. - 319)
     14.1 INTRODUCTION 
     14.2 LOGISTICS AUTOMATION MARKET - GLOBAL FORECAST TO 2028 
             14.2.1 MARKET DEFINITION
             14.2.2 MARKET OVERVIEW
                       14.2.2.1 Logistics automation market, by component
                                   TABLE 291 LOGISTICS AUTOMATION MARKET, BY COMPONENT, 2018–2022 (USD MILLION)
                                   TABLE 292 LOGISTICS AUTOMATION MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
                       14.2.2.2 Logistics automation market, by function
                                   TABLE 293 LOGISTICS AUTOMATION MARKET, BY FUNCTION, 2018–2022 (USD MILLION)
                                   TABLE 294 LOGISTICS AUTOMATION MARKET SIZE, BY FUNCTION, 2023–2028 (USD MILLION)
                       14.2.2.3 Logistics automation market, by logistics type
                                   TABLE 295 LOGISTICS AUTOMATION MARKET, BY LOGISTICS TYPE, 2018–2022 (USD MILLION)
                                   TABLE 296 LOGISTICS AUTOMATION MARKET, BY LOGISTICS TYPE, 2023–2028 (USD MILLION)
                       14.2.2.4 Logistics automation market, by organization size
                                   TABLE 297 LOGISTICS AUTOMATION MARKET, BY ORGANIZATION SIZE, 2018–2022 (USD MILLION)
                                   TABLE 298 LOGISTICS AUTOMATION MARKET, BY ORGANIZATION SIZE,  2023–2028 (USD MILLION)
                       14.2.2.5 Logistics automation market, by vertical
                                   TABLE 299 LOGISTICS AUTOMATION MARKET, BY VERTICAL, 2018–2022 (USD MILLION)
                                   TABLE 300 LOGISTICS AUTOMATION MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       14.2.2.6 Logistics automation market, by software application
                                   TABLE 301 LOGISTICS AUTOMATION MARKET, BY SOFTWARE APPLICATION,  2018–2022 (USD MILLION)
                                   TABLE 302 LOGISTICS AUTOMATION MARKET, BY SOFTWARE APPLICATION,  2023–2028 (USD MILLION)
                       14.2.2.7 Logistics automation market, by region
     14.3 SUPPLY CHAIN ANALYTICS MARKET - GLOBAL FORECAST TO 2027 
             14.3.1 MARKET DEFINITION
             14.3.2 MARKET OVERVIEW
                       14.3.2.1 Supply chain analytics market, by component
                                   TABLE 303 SUPPLY CHAIN ANALYTICS MARKET, BY COMPONENT, 2016–2021 (USD MILLION)
                                   TABLE 304 SUPPLY CHAIN ANALYTICS MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                       14.3.2.2 Supply chain analytics market, by service
                                   TABLE 305 SUPPLY CHAIN ANALYTICS MARKET, BY SERVICE, 2016–2021 (USD MILLION)
                                   TABLE 306 SUPPLY CHAIN ANALYTICS MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                       14.3.2.3 Supply chain analytics market, by deployment mode
                                   TABLE 307 SUPPLY CHAIN ANALYTICS MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION)
                                   TABLE 308 SUPPLY CHAIN ANALYTICS MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD MILLION)
                       14.3.2.4 Supply chain analytics market, by organization size
                                   TABLE 309 SUPPLY CHAIN ANALYTICS MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION)
                                   TABLE 310 SUPPLY CHAIN ANALYTICS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
                       14.3.2.5 Supply chain analytics market, by vertical
                                   TABLE 311 SUPPLY CHAIN ANALYTICS SIZE, BY VERTICAL, 2016–2021 (USD MILLION)
                                   TABLE 312 SUPPLY CHAIN ANALYTICS SIZE, BY VERTICAL, 2022–2027 (USD MILLION)
                       14.3.2.6 Supply chain analytics market, by region
                                   TABLE 313 SUPPLY CHAIN ANALYTICS MARKET, BY REGION, 2016–2021 (USD MILLION)
                                   TABLE 314 SUPPLY CHAIN ANALYTICS MARKET, BY REGION, 2022–2027 (USD MILLION)
 
15 APPENDIX (Page No. - 330)
     15.1 DISCUSSION GUIDE 
     15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’  SUBSCRIPTION PORTAL 
     15.3 CUSTOMIZATION OPTIONS 
     15.4 RELATED REPORTS 
     15.5 AUTHOR DETAILS 

The smart warehousing market research study involved extensive secondary sources, directories, journals, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred smart warehousing providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market’s prospects.

Secondary Research

In the secondary research process, various sources were referred to, for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors websites. Additionally, smart warehousing spending of various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on hardware, software, services, market classification, and segmentation according to offerings of major players, industry trends related to hardware, software, services, deployment modes, technology, application, warehouse size, verticals, and regions, and key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and smart warehousing expertise; related key executives from smart warehousing solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using smart warehousing solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of smart warehousing solutions and services, which would impact the overall smart warehousing market.

The breakup of Primary Research:

Smart Warehousing Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

COMPANY NAME

DESIGNATION

PSI Logistics

Head of Marketing

Increff

Co-Founder 

ShipHero

VP of Product - SaaS

Market Size Estimation

In the bottom-up approach, the adoption rate of smart warehousing solutions and services among different end users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of smart warehousing solutions and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the smart warehousing market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major smart warehousing providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the overall smart warehousing market size and segments’ size were determined and confirmed using the study.

Global Smart Warehousing Market Size: Bottom-Up and Top-Down Approach:

Smart Warehousing Market Size, and Share

To know about the assumptions considered for the study, Request for Free Sample Report

Data Triangulation

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the smart warehousing market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major smart warehousing providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the overall smart warehousing market size and segments’ size were determined and confirmed using the study.

Market Definition

Smart Warehouses, akin to smart factories, leverage data and automation to optimize their operations. These facilities automate a multitude of tasks, from order recognition and product receipt to storage, sorting, and dispatch. The integration of various automation technologies and interconnected equipment creates a technologically advanced environment where materials and shipments can be efficiently received, organized, identified, and prepared for delivery or dispatch with minimal human intervention.

Stakeholders

  • Smart warehousing vendors
  • Smart warehousing service vendors
  • Managed service providers
  • Support and maintenance service providers
  • System Integrators (SIs)/migration service providers
  • Value-Added Resellers (VARs) and distributors
  • Distributors and Value-added Resellers (VARs)
  • System Integrators (SIs)
  • Independent Software Vendors (ISV)
  • Third-party providers
  • Technology providers

Report Objectives

  • To define, describe, and predict the smart warehousing market by offering (hardware, software and services), technology, application, warehouse size, verticals, and region
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the smart warehousing market
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies.
  • To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the smart warehousing market
  • To analyze the impact of recession across all the regions across the smart warehousing market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per your company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product quadrant, which gives a detailed comparison of the product portfolio of each company.

Geographic Analysis

  • Further breakup of the North American smart warehousing market
  • Further breakup of the European market
  • Further breakup of the Asia Pacific market
  • Further breakup of the Middle Eastern & African market
  • Further breakup of the Latin America smart warehousing market

Company Information

  • Detailed analysis and profiling of additional market players (up to five)
Custom Market Research Services

We will customize the research for you, in case the report listed above does not meet with your exact requirements. Our custom research will comprehensively cover the business information you require to help you arrive at strategic and profitable business decisions.

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