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Smart Warehousing Market

Report Code TC 7993
Published in Jun, 2025, By MarketsandMarkets™
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Smart Warehousing Market by Offering (AGVs, AMRs, AS/RS, AIDC, Palletizing & Depalletizing Systems, Conveyors & Sorters, TMS, WMS, Order Management), Technology (AI, IoT, Blockchain, Big Data & Analytics, Robotics & Automation) - Global Forecast to 2030

Overview

The smart warehousing market is expanding rapidly, with a projected market size anticipated to rise from about USD 31.21 billion in 2025 to USD 46.42 billion by 2030, featuring a CAGR of 8.3%. This expansion is fueled by the need to reduce costly errors and boost operational efficiency, as nearly two-thirds of inventory or fulfillment issues stem from manual processes. While about 25% of decision-makers aim for full automation, a larger share favors a hybrid model that combines human input with smart technologies, empowering frontline workers and enhancing productivity across warehouse operations. Companies increasingly use automation to reduce human error in crucial areas such as material handling. Growth is further driven by the integration of IoT, AI, and robotics, along with the demand for real-time visibility and faster, more accurate order fulfillment. These advancements are transforming warehouse operations into more agile and intelligent systems.

Smart Warehousing Market

Attractive Opportunities in the Smart Warehousing Market

ASIA PACIFIC

The Asia Pacific region is expected to have the fastest growth rate in the smart warehousing market during the forecast period, fueled by rapid industrialization, e-commerce expansion, and logistics infrastructure upgrades. China, India, and Southeast Asia are investing in digital logistics ecosystems, IoT deployments, and warehouse automation to stay competitive in global trade.

Companies are embracing smart warehousing solutions to reduce carbon footprints through energy-efficient operations, automated lighting, and optimized space utilization. Advanced HVAC systems, solar-powered facilities, and intelligent energy management platforms are being integrated to monitor and minimize energy consumption.

Smart sensors, automated guided vehicles, and robotics are improving inventory visibility, real-time tracking, and operational efficiency across warehouse facilities.

The rise of online shopping and demand for faster deliveries are driving the need for efficient, automated warehouses that can handle high volumes with precision.

Predictive analytics and AI-driven systems enable real-time decision-making, proactive maintenance, and optimized inventory management, reducing operational costs. These technologies help forecast demand accurately, identify supply chain disruptions early, and automate restocking processes.

Global Smart Warehousing Market Dynamics

Driver: Emergence of multi-channel distribution networks

A multi-channel distribution network involves using more than a single channel for product distribution. Any business seeking to grow must increase customer reach through various channels, including direct sales, online stores, franchise stores, and distributor sales. Manufacturers can opt to sell their products directly to consumers or via their own e-commerce platforms, as well as through established online marketplaces such as Amazon, Best Buy, and Alibaba. Utilizing multi-channel distribution networks offers significant advantages, including enhanced customer reach through diverse and accessible channels.

Managing the orders from various channels is difficult as manufacturers must take care of the variation in costs offered from various distribution channels and various modes of transport for delivering products; they must also comply with the regulations of various shopping websites. Warehouse operating companies can efficiently handle the completion of multiple orders at lower costs and in a shorter time by using smart warehousing solutions. These systems maintain inventory databases and keep track of available inventory and details about orders from various channels. Smart warehousing solutions enable warehouse managers to effectively handle shipping details, packing details, invoices, and receipts for products. They also help track labor productivity and transport, relieving companies from maintaining separate software solutions for labor and transport management.

Restraint: Lack of uniform governance standards in the fragmented logistics industry

One of the key barriers to the widespread adoption of smart warehousing is the lack of uniform governance. The logistics industry remains highly fragmented, making it difficult to implement consistent standards. This fragmentation calls for developing a unified logistics IoT standard to streamline operations. As transportation and logistics companies strive to improve supply chain efficiency, standardization becomes critical for sustaining profitability and long-term viability. Multiple standards cause confusion and hinder integration. Interoperability frameworks, such as MTConnect, EtherCAT, and MCS-DCS Interface Standardization, support data exchange across diverse systems and industries.

Establishing a common standard across the logistics and supply chain sectors would simplify integration and enable service providers to deliver more comprehensive solutions within a single platform. However, due to restrictive government regulations, China and Korea lag behind North America and Europe in logistics standardization. This disparity hampers the ability of businesses in these regions to fully automate their supply chains. Without unified governance, the full potential of smart warehousing remains out of reach, ultimately limiting market growth. A globally recognized standard is essential for driving innovation and scalability in logistics and warehousing.

 

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

Leveraging AR and VR technologies for warehouse management activities such as order allocation, inventory control management, order picking, and material handling can simplify and improve complex warehouse operations, thereby enhancing supply chain processes. AR and VR technologies 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 productivity.

The use of AR smart glasses allowed the company to introduce vision picking, which facilitates accurate remote handling of an order and recording information about it without physically touching any items. 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 are 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 the smart warehousing market as companies seek innovative solutions to remain competitive in an increasingly digital and automated world.

Challenge: High implementation and maintenance costs for SMEs

SMEs account for a major share of the global economy. They hold a major market share and make a huge contribution to the GDP and employment in any country. SMEs are looking to implement and adopt new technologies to improve their supply chain and warehousing operations and increase productivity; however, the high implementation cost of high-end on-premises smart warehousing solutions is limiting their adoption.

Despite higher efficiency and lower maintenance costs, implementing on-premises smart warehousing solutions adds significant upfront costs, including hardware and software setup, testing, employee training, and technology support. Warehouse managers strive to increase productivity while minimizing labor costs in a labor-intensive environment. Labor costs are estimated to constitute about 65% of the operating budgets of most warehouses. A typical warehouse uses expensive equipment and employs a large labor force, increasing overall implementation and maintenance costs. SMEs generally do not have the financial resources to invest in such expensive smart warehousing solutions, which act as a limiting factor for the growth of the smart warehousing market.

Global Smart Warehousing Market Ecosystem Analysis

The smart warehousing market ecosystem comprises several stakeholders, including automated systems, software, and service providers. Automated system providers include robotic systems, automated storage & retrieval systems, and conveyors & sorters. Software providers include transport management systems, warehouse management systems, and order management software. Service providers include professional and managed service providers.

Top Companies in Smart Warehousing Market

Note: The above diagram only shows the representation of the Smart Warehousing Market ecosystem; it is not limited to the companies represented above.
Source: Secondary Research and MarketsandMarkets Analysis

 

Automated systems offering segment to hold the largest market share during the forecast period

The automated systems segment is expected to hold the largest market share by offering in the smart warehousing market during the forecast period due to its foundational role in enabling automation and real-time data collection. Smart warehouses rely on automated system components such as sensors, RFID tags, automated guided vehicles (AGVs), conveyor systems, drones, and robotic arms to optimize inventory management, streamline logistics, and enhance operational efficiency. These components form the physical backbone of any smart warehousing solution, enabling seamless communication between goods, storage systems, and warehouse management platforms.

Companies invest heavily in automated systems to reduce labor costs, minimize errors, and increase throughput. The rising adoption of IoT and robotics in warehousing also contributes to the growing demand for advanced automated systems Additionally, new technologies such as computer vision and AI-powered robotics require sophisticated hardware infrastructure to function effectively. While software and services are important, the automated systems segment attracts the most investment because it is crucial for deploying and scaling smart warehouse systems. This dominance is further driven by falling sensors and automation tools costs, making automated systems more accessible across industries.

Artificial intelligence technology to account for the fastest growth rate during the forecast period

Artificial intelligence (AI) is expected to account for the fastest growth rate in the smart warehousing market due to its transformative impact on operational efficiency, automation, and decision-making capabilities. AI technologies, including machine learning, computer vision, and natural language processing, enable real-time data analysis and predictive analytics, significantly improving inventory management, demand forecasting, and warehouse layout optimization. Unlike traditional automation, AI adapts to dynamic environments, allowing systems to self-correct, learn from patterns, and respond to unexpected disruptions with minimal human intervention.

The rise of e-commerce and the demand for faster, error-free fulfillment have pushed warehouses to adopt intelligent systems that can handle complex tasks, such as robotic picking, autonomous vehicles, and AI-driven sorting. AI also plays a crucial role in enhancing safety through predictive maintenance and worker monitoring. Furthermore, the integration of AI with Internet of Things (IoT) devices facilitates seamless data collection and decision-making across the supply chain. As companies prioritize scalability, cost savings, and customer satisfaction, AI emerges as the most viable technology to meet these evolving requirements. Consequently, its rapid adoption drives the segment’s accelerated growth during the forecast period.

Asia Pacific set to experience fastest growth during forecast period

The Asia Pacific region is poised to experience the fastest growth in the smart warehousing market during the forecast period due to rapid industrialization and urbanization across China, India, and Southeast Asian nations, driving increased demand for efficient supply chain and logistics solutions. As e-commerce continues to expand remarkably in the region, mainly with the rise of mobile shopping and digital payments, businesses are investing heavily in automation and smart technologies to meet growing consumer expectations for faster delivery and real-time inventory management.

Moreover, governments in the region are actively supporting initiatives that enhance infrastructure and digital transformation, such as India’s “Digital India” campaign and China’s “Made in China 2025” strategy. These efforts create a favorable environment for adopting smart warehousing technologies such as IoT, robotics, and AI-driven warehouse management systems. Additionally, the relatively lower cost of labor and technology implementation than Western markets makes Asia Pacific an attractive hub for global and regional companies to establish technologically advanced logistics networks.

HIGHEST CAGR MARKET TILL 2030
INDIA FASTEST GROWING MARKET IN THE REGION
Smart Warehousing Market by region

Recent Developments of Smart Warehousing Market

  • In May 2025, Blue Yonder acquired Pledge Earth Technologies Ltd. to expand its end-to-end supply chain platform with accredited carbon emissions reporting. Pledge’s software solutions enable businesses to monitor and manage their carbon footprint across logistics operations, aligning with global sustainability standards and enhancing supply chain transparency.
  • In May 2025, Samsung SDS and SAP strengthened their collaboration to expand cloud ERP services, focusing on regulated industries such as finance, public, and defense sectors. The partnership aims to support cloud ERP migration and integrate AI and hyper-automation technologies, enhancing operational efficiency and warehouse and supply chain management compliance.
  • In April 2025, Uniserve partnered with Logistics Reply to implement LEA Reply, a cloud-native, microservices-based warehouse management system (WMS). This partnership enhances scalability, operational efficiency, and real-time inventory visibility across Uniserve’s supply chain operations. Future plans include integrating AI, inventory drones, yard management, and dock scheduling technologies.
  • In January 2024, Blue Yonder and Rhenus Warehousing Solutions formed a strategic partnership to standardize warehouse operations globally. This collaboration focuses on implementing Blue Yonder’s Warehouse Management System (WMS) across Rhenus’s facilities to enhance efficiency, scalability, and consistency in warehouse processes.

Key Market Players

List of Top Smart Warehousing Market Companies

The Smart Warehousing Market is dominated by a few major players that have a wide regional presence. The major players in the Smart Warehousing Market are

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Scope of the Report

Report Attribute Details
Market size available for years 2020–2030
Base year considered 2024
Forecast period 2025–2030
Forecast units USD Billion
Segments Covered Offering, Warehouse Size, Technology, and Vertical
Regions covered North America, Europe, Asia Pacific, Middle East & Africa, Latin America

Key Questions Addressed by the Report

What is smart warehousing?

Smart warehousing is the integration of Artificial Intelligence (AI), Internet of Things (IoT), robotics, cloud computing, and data analytics to automate and streamline warehouse operations. It enables real-time tracking of goods, efficient inventory management, and automated picking and sorting. This results in faster order fulfillment, reduced human error, and increased overall efficiency. Smart warehouses adapt quickly to changing demands and help businesses stay competitive in fast-paced markets.

What are the key applications of smart warehousing across industries?

Smart warehousing is widely applied across retail, manufacturing, logistics, healthcare, and food & beverage sectors. In retail and e-commerce, it enables faster order processing and personalized delivery services. In manufacturing, it supports just-in-time inventory and supply chain transparency. Pharmaceutical companies use it for cold chain monitoring and compliance. Across industries, it facilitates predictive maintenance, space optimization, and better labor allocation through automation and analytics.

What are the major factors driving market growth?

The primary growth drivers include the surge in online shopping, the need for faster and more accurate order fulfillment, and labor shortages pushing the demand for automation. Technological advancements in robotics, AI, and machine learning are making smart warehousing more accessible and scalable. Businesses also seek to reduce operational costs and carbon footprints, which smart systems help achieve through energy-efficient operations and optimized logistics. Increasing customer expectations for real-time delivery updates further fuel demand.

What are the key challenges faced by companies in the market?

Despite its benefits, smart warehousing faces several challenges. High capital investment for automation and technology integration can be a barrier for small and medium-sized enterprises (SMEs). Legacy systems in older warehouses are often incompatible with new technologies, complicating upgrades. There are also concerns about data privacy, cybersecurity, and system reliability. Additionally, the shortage of skilled workers who can manage and interpret smart systems hinders smooth implementation and long-term maintenance.

Who are the key vendors in the market?

Some major players in the smart warehousing market include Manhattan Associates (US), Körber (Germany), Oracle (US), SAP (Germany), Tecsys (Canada), PSI Logistics (Germany), Samsung SDS (South Korea), 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), Demantic (US), Honeywell (US), Swisslog (Switzerland), Daifuku (Japan), WareIQ (India), Foysonis (India), Increff (India), Locus Robotics (US), ShipHero (US), Cin7 (US), EasyEcom (India), Unicommerce (India), Logiwa (US), IAM Robotics (US), Greyorange (India), Righthand Robotics (US), Magazino (Germany), Covariant (US), Attabotics (Canada), Geek+ (China), Nomagic (US), and Plus One Robotics (US).

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Table of Contents

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TITLE
PAGE NO
INTRODUCTION
33
RESEARCH METHODOLOGY
38
EXECUTIVE SUMMARY
49
PREMIUM INSIGHTS
54
MARKET OVERVIEW AND INDUSTRY TRENDS
56
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    INTRODUCTION
    DRIVERS
    - Rising focus on green initiatives and sustainability to minimize waste
    - Proliferation of smartphones for faster and efficient management of goods
    - Emergence of multi-channel distribution networks
    - Dynamic nature and globalization of supply chain networks
    - Convergence of IoT and 5G to accelerate warehouse intelligence
    RESTRAINTS
    - Lack of uniform governance standards in fragmented logistics industry
    - Data security and privacy concerns
    OPPORTUNITIES
    - Adoption of AR and VR technologies to streamline warehouse operations
    - Rising focus on Warehouse 4.0 to reduce operating costs
    - Advancements in self-driving vehicles and robotics
    CHALLENGES
    - Lack of awareness about smart warehousing systems among small-scale industries
    - High implementation and maintenance costs for SMEs
  • 5.3 EVOLUTION OF SMART WAREHOUSING
  • 5.4 SMART WAREHOUSING MARKET: ECOSYSTEM ANALYSIS
  • 5.5 CASE STUDY ANALYSIS
    COSTA LOGISTICS TRANSFORMS DISTRIBUTION EFFICIENCY WITH MANHATTAN ASSOCIATES’ WAREHOUSE MANAGEMENT SOLUTION
    NAGEL GROUP OPTIMIZES WAREHOUSE OPERATIONS USING PSIWMS AND AI-SUPPORTED LOGISTICS SOFTWARE FROM PSI GROUP
    ENDRIES INTERNATIONAL AND INFOR ACHIEVE 40% WAREHOUSE-PRODUCTIVITY BOOST WITH CLOUD-BASED INFOR WMS ON AWS
  • 5.6 SUPPLY CHAIN ANALYSIS
  • 5.7 REGULATORY LANDSCAPE
    REGULATORY FRAMEWORKS
    - General Data Protection Regulation (GDPR)
    - Occupational Safety and Health Administration (OSHA)
    - Federal Motor Carrier Safety Administration (FMCSA)
  • 5.8 PRICING ANALYSIS
    AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING, 2025
    AVERAGE SELLING PRICE, BY SOFTWARE, 2025
  • 5.9 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - Voice recognition
    - Computer vision
    - Robotic process automation
    - Augmented Reality/Virtual Reality (AR/VR)
    ADJACENT TECHNOLOGIES
    - Cybersecurity
    - Digital twins
    - 3D printing
    COMPLEMENTARY TECHNOLOGIES
    - Cloud & edge computing
    - 5G networks & connectivity
    - Predictive maintenance
  • 5.10 PATENT ANALYSIS
  • 5.11 PORTER’S FIVE FORCES ANALYSIS
    THREAT OF NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF SUPPLIERS
    BARGAINING POWER OF BUYERS
    INTENSITY OF COMPETITIVE RIVALRY
  • 5.12 KEY STAKEHOLDERS AND BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
  • 5.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.14 KEY CONFERENCES AND EVENTS, 2025–2026
  • 5.15 TRADE ANALYSIS
    EXPORT SCENARIO
    IMPORT SCENARIO
  • 5.16 INVESTMENT AND FUNDING SCENARIO
  • 5.17 IMPACT OF GENERATIVE AI ON SMART WAREHOUSING MARKET
    TOP USE CASES AND MARKET POTENTIAL
    - Key use cases
    BEST PRACTICES
    - Retail industry
    - Automotive industry
    - Pharmaceutical infrastructure
    CASE STUDIES OF GENERATIVE AI IMPLEMENTATION
    - Optimizing warehouse layouts for increased throughput
    - Real-time task scheduling for autonomous vehicles
    - Custom packaging solutions via generative AI
    CLIENT READINESS AND IMPACT ASSESSMENT
    - Client A: An e-commerce enterprise
    - Client B: Healthcare supply chain enterprise
    - Client C: A global manufacturing enterprise
  • 5.18 IMPACT OF 2025 US TARIFF – SMART WAREHOUSING MARKET
    INTRODUCTION
    KEY TARIFF RATES
    PRICE IMPACT ANALYSIS
    - Strategic shifts and emerging trends
    IMPACT ON COUNTRY/REGION
    - US
    - China
    - Europe
    - Asia Pacific
    IMPACT ON END-USE INDUSTRIES
    - Retail & eCommerce
    - Healthcare & Pharmaceuticals
    - 3PL
    - Manufacturing
    - Food & Beverages
SMART WAREHOUSING MARKET, BY OFFERING
98
  • 6.1 INTRODUCTION
    DRIVERS: SMART WAREHOUSING MARKET, BY OFFERING
  • 6.2 AUTOMATED SYSTEMS
    ROBOTICS SYSTEMS
    - Automated guided vehicles
    - Automated mobile robots
    - Robotics picking systems
    - Palletizing & depalletizing systems
    AUTOMATED STORAGE & RETRIEVAL SYSTEMS
    AUTOMATED IDENTIFICATION AND DATA COLLECTION
    CONVEYORS AND SORTERS
  • 6.3 SOFTWARE
    TRANSPORT MANAGEMENT SYSTEMS
    - Real-time visibility and tracking
    - Route optimization & transportation management
    - Fleet management solutions
    - Freight audits and payment solutions
    - Load optimization
    WAREHOUSE MANAGEMENT SYSTEMS
    - Inventory management
    - Yard management
    - Shipping management
    - Labor management
    - Vendor management
    - Others
    ORDER MANAGEMENT SOFTWARE
    - Chatbots & virtual assistants
    - Documents & record management
    - Sales accounting processing
    - Others
SMART WAREHOUSING SOFTWARE MARKET, BY DEPLOYMENT MODE
116
  • 7.1 INTRODUCTION
  • 7.2 CLOUD
    OFFERS SCALABLE, FLEXIBLE WAREHOUSE MANAGEMENT FOR BUSINESSES SEEKING COST-EFFECTIVE AND EASILY UPDATABLE SOLUTIONS
  • 7.3 ON-PREMISES
    PROVIDES FULL CONTROL AND CUSTOMIZATION OF WAREHOUSE OPERATIONS WITH ENHANCED SECURITY
SMART WAREHOUSING SOFTWARE MARKET, SERVICES
120
  • 8.1 INTRODUCTION
  • 8.2 PROFESSIONAL SERVICES
    TRAINING & CONSULTING
    - Effectively adopt and scale automation and AI-driven software technologies
    SYSTEM INTEGRATION & IMPLEMENTATION
    - Seamless connectivity across robotics, WMS, and IoT platforms for end-to-end smart warehouse operations
    SUPPORT & MAINTENANCE
    - Optimize performance and extend life of smart warehousing systems and infrastructure
  • 8.3 MANAGED SERVICES
SMART WAREHOUSING MARKET, BY TECHNOLOGY
128
  • 9.1 INTRODUCTION
    DRIVERS: SMART WAREHOUSING MARKET, BY TECHNOLOGY
  • 9.2 IOT
    ENABLING REAL-TIME TRACKING, PREDICTIVE MAINTENANCE, AND SMART INVENTORY SYSTEMS THROUGH CONNECTED DEVICES
  • 9.3 ROBOTICS AND AUTOMATION
    WITNESSING ACCELERATED ADOPTION AS WAREHOUSES STRIVE FOR HIGHER THROUGHPUT AND REDUCED ERRORS
  • 9.4 AI
    GAINING MOMENTUM IN SMART WAREHOUSING BY DRIVING AUTONOMOUS DECISIONS
  • 9.5 BLOCKCHAIN
    ENHANCING DATA INTEGRITY AND TRACEABILITY IN WAREHOUSE TRANSACTIONS AND MULTI-PARTY LOGISTICS ENVIRONMENTS
  • 9.6 BIG DATA & ANALYTICS
    ESSENTIAL FOR DEMAND FORECASTING AND RESOURCE OPTIMIZATION ACROSS COMPLEX WAREHOUSE OPERATIONS
SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE
136
  • 10.1 INTRODUCTION
    DRIVERS: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE
  • 10.2 SMALL
    GROWING DEMAND FOR COST-EFFECTIVE, FLEXIBLE SOLUTIONS TO DRIVE ADOPTION OF SCALABLE SMART TECHNOLOGIES IN LIMITED SPACES
  • 10.3 MEDIUM
    INCREASING ORDER VOLUMES AND OPERATIONAL COMPLEXITY TO FUEL INTEGRATION OF AUTOMATION AND IOT FOR ENHANCED EFFICIENCY
  • 10.4 LARGE
    NEED TO MANAGE VAST INVENTORIES AND OPTIMIZE COMPLEX SUPPLY CHAINS TO DRIVE INVESTMENT IN ADVANCED AUTOMATION AND AI SYSTEMS
SMART WAREHOUSING MARKET, BY VERTICAL
142
  • 11.1 INTRODUCTION
    DRIVERS: SMART WAREHOUSING MARKET, BY VERTICAL
  • 11.2 TRANSPORTATION AND LOGISTICS
    THIRD-PARTY LOGISTICS
    - Empowering 3PL providers to offer faster, scalable, and value-added logistics services through automation and real-time visibility
    FREIGHT FORWARDERS
    - Leveraging intelligent warehousing to streamline global cargo handling and reduce transit delays
    LAST-MILE DELIVERY PROVIDERS
    - Enabling last-mile delivery firms to meet rapid fulfillment demands through micro-fulfillment and real-time inventory updates
  • 11.3 MANUFACTURING
  • 11.4 HEALTHCARE AND LIFE SCIENCES
  • 11.5 FOOD AND BEVERAGES
  • 11.6 RETAIL AND E-COMMERCE
  • 11.7 OTHER VERTICALS
SMART WAREHOUSING MARKET, BY REGION
154
  • 12.1 INTRODUCTION
  • 12.2 NORTH AMERICA
    NORTH AMERICA: SMART WAREHOUSING MARKET DRIVERS
    NORTH AMERICA: MACROECONOMIC OUTLOOK
    US
    - Need for faster and more efficient supply chain operations to drive market
    CANADA
    - E-commerce growth and digital innovation to propel warehousing expansion
  • 12.3 EUROPE
    EUROPE: SMART WAREHOUSING MARKET DRIVERS
    EUROPE: MACROECONOMIC OUTLOOK
    UK
    - Increasing need for efficient order fulfillment solutions to drive market
    GERMANY
    - Rising focus on automation in manufacturing and logistics to fuel market
    FRANCE
    - Growth in logistics and retail sectors to boost demand
    ITALY
    - Leveraging strategic location to enhance logistics efficiency and technology adoption
    SPAIN
    - Capitalizing on strategic location to become a logistics and tech innovation hub
    REST OF EUROPE
  • 12.4 ASIA PACIFIC
    ASIA PACIFIC: SMART WAREHOUSING MARKET DRIVERS
    ASIA PACIFIC: MACROECONOMIC OUTLOOK
    CHINA
    - E-Commerce expansion to drive demand for automated and efficient warehousing
    JAPAN
    - Growing e-commerce industry to boost adoption of smart warehousing solutions
    INDIA
    - Rapid e-commerce growth in Tier 2 and Tier 3 cities to drive market
    SOUTH KOREA
    - Accelerating smart warehousing through advanced automation and government-backed innovation to drive market
    AUSTRALIA & NEW ZEALAND
    - Commitment to sustainability to encourage adoption of eco-friendly warehousing solutions
    ASEAN
    - Driving smart warehousing growth through rapid e-commerce expansion and urbanization
    REST OF ASIA PACIFIC
  • 12.5 MIDDLE EAST & AFRICA
    MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET DRIVERS
    MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
    MIDDLE EAST
    - Saudi Arabia
    - UAE
    - Qatar
    - Turkey
    - Rest of Middle East
    AFRICA
  • 12.6 LATIN AMERICA
    LATIN AMERICA: SMART WAREHOUSING MARKET DRIVERS
    LATIN AMERICA: MACROECONOMIC OUTLOOK
    BRAZIL
    - Harnessing AI and Blockchain to revolutionize smart warehousing efficiency
    MEXICO
    - Expansion of e-commerce accelerates demand for automated and efficient warehouse solutions
    ARGENTINA
    - Accelerating digital transformation and automation to boost warehousing efficiency
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
228
  • 13.1 OVERVIEW
  • 13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2022–2025
  • 13.3 REVENUE ANALYSIS, 2020–2024
  • 13.4 MARKET SHARE ANALYSIS, 2024
  • 13.5 BRAND/PRODUCT COMPARATIVE ANALYSIS
    PRODUCT COMPARATIVE ANALYSIS, BY SOFTWARE VENDORS
    - Manhattan Associates (Manhattan Active WM)
    - Oracle (Oracle Warehouse Management Cloud)
    - SAP (SAP Extended Warehouse Management - SAP EWM)
    - Infor (Infor WMS)
    - IBM (IBM Sterling Supply Chain Suite)
    BRAND COMPARATIVE ANALYSIS, BY AUTOMATED SYSTEM VENDORS
    - Körber
    - ABB
    - SSI Schäefer
    - Dematic
    - Honeywell
  • 13.6 COMPANY VALUATION AND FINANCIAL METRICS
  • 13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2024
    - Company footprint
    - Region footprint
  • 13.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    - Detailed list of key startups/SMEs
    - Competitive benchmarking of key startups/SMEs
  • 13.9 COMPETITIVE SCENARIO
    PRODUCT LAUNCHES AND ENHANCEMENTS
    DEALS
COMPANY PROFILES
256
  • 14.1 INTRODUCTION
  • 14.2 KEY PLAYERS
    MANHATTAN ASSOCIATES
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    KÖRBER
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    ORACLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    SAP
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    DEMATIC (KION GROUP)
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    PSI GROUP
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    SAMSUNG SDS
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    REPLY
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    INFOR
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    IBM
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    BLUE YONDER
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    TECSYS
    GENERIX GROUP
    MICROLISTICS
    ABB
    MICROSOFT
    EPICOR
    MADE4NET
    MANTIS
    SOFTEON
    SYNERGY LOGISTICS
    E2OPEN
    VINCULUM
    MECALUX
    SSI SCHAEFER
    HONEYWELL
    SWISSLOG (KUKA)
    DAIFUKU
  • 14.3 OTHER KEY PLAYERS
    WAREIQ
    FOYSONIS
    INCREFF
    LOCUS ROBOTICS
    SHIPHERO
    CIN7 ORDERHIVE
    EASYECOM
    UNICOMMERCE
    ONWARD ROBOTICS
    LOGIWA
    GREYORANGE
    RIGHTHAND ROBOTICS
    MAGAZINO
    COVARIANT
    ATTABOTICS
    GEEK+
    NOMAGIC
    PLUS ONE ROBOTICS
ADJACENT AND RELATED MARKETS
314
  • 15.1 INTRODUCTION
  • 15.2 LOGISTICS AUTOMATION MARKET - GLOBAL FORECAST TO 2029
    MARKET DEFINITION
    MARKET OVERVIEW
    - Logistics automation market, by offering
    - Logistics automation market, software by deployment mode
    - Logistics automation market, by logistics type
    - Logistics automation market, by technology
    - Logistics automation market, by end user
    - Logistics automation market, by region
  • 15.3 SUPPLY CHAIN ANALYTICS MARKET - GLOBAL FORECAST TO 2027
    MARKET DEFINITION
    MARKET OVERVIEW
    - Supply chain analytics market, by offering
    - Supply chain analytics market, by technology
    - Supply chain analytics market, by deployment mode
    - Supply chain analytics market, by organization size
    - Supply chain analytics market, by business function
    - Supply chain analytics market, by vertical
    - Supply chain analytics market, by region
APPENDIX
328
  • 16.1 DISCUSSION GUIDE
  • 16.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 16.3 AVAILABLE CUSTOMIZATIONS
  • 16.4 RELATED REPORTS
  • 16.5 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 USD EXCHANGE RATES, 2020–2024
  • TABLE 2 LIST OF PRIMARY PARTICIPANTS
  • TABLE 3 GLOBAL SMART WAREHOUSING MARKET SIZE AND GROWTH RATE, 2020–2024 (USD MILLION, Y-O-Y %)
  • TABLE 4 GLOBAL SMART WAREHOUSING MARKET SIZE AND GROWTH RATE, 2025–2030 (USD MILLION, Y-O-Y %)
  • TABLE 5 SMART WAREHOUSING MARKET: ROLE OF PLAYERS IN ECOSYSTEM
  • TABLE 6 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 7 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 8 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 9 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 10 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 11 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING, 2025
  • TABLE 12 AVERAGE SELLING PRICE, BY SOFTWARE, 2025
  • TABLE 13 LIST OF KEY PATENTS
  • TABLE 14 PORTER FIVE FORCES’ IMPACT ON SMART WAREHOUSING MARKET
  • TABLE 15 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
  • TABLE 16 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
  • TABLE 17 SMART WAREHOUSING MARKET: DETAILED LIST OF KEY CONFERENCES AND EVENTS, 2025–2026
  • TABLE 18 EXPORT DATA FOR HS CODE 8428, BY KEY COUNTRY, 2017-2024
  • TABLE 19 IMPORT DATA FOR HS CODE 8428, BY KEY COUNTRY, 2017-2024
  • TABLE 20 TABLE 1: US ADJUSTED RECIPROCAL TARIFF RATES
  • TABLE 21 SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 22 SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 23 AUTOMATED SYSTEMS: SMART WAREHOUSING MARKET, BY TYPE, 2020–2024 (USD MILLION)
  • TABLE 24 AUTOMATED SYSTEMS: SMART WAREHOUSING MARKET, BY TYPE, 2025–2030 (USD MILLION)
  • TABLE 25 AUTOMATED SYSTEMS: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 26 AUTOMATED SYSTEMS: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 27 ROBOTICS SYSTEMS: SMART WAREHOUSING MARKET, BY TYPE, 2020–2024 (USD MILLION)
  • TABLE 28 ROBOTICS SYSTEMS: SMART WAREHOUSING MARKET, BY TYPE, 2025–2030 (USD MILLION)
  • TABLE 29 SOFTWARE: SMART WAREHOUSING MARKET, BY TYPE, 2020–2024 (USD MILLION)
  • TABLE 30 SOFTWARE: SMART WAREHOUSING MARKET, BY TYPE, 2025–2030 (USD MILLION)
  • TABLE 31 TMS: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 32 TMS: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 33 WMS: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 34 WMS: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 35 OMS: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 36 OMS: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 37 SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION)
  • TABLE 38 SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2025–2030 (USD MILLION)
  • TABLE 39 CLOUD: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 40 CLOUD: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 41 ON-PREMISES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 42 ON-PREMISES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 43 SERVICES: SMART WAREHOUSING MARKET, BY TYPE, 2020–2024 (USD MILLION)
  • TABLE 44 SERVICES: SMART WAREHOUSING MARKET, BY TYPE, 2025–2030 (USD MILLION)
  • TABLE 45 SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 46 SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 47 PROFESSIONAL SERVICES: SMART WAREHOUSING MARKET, BY TYPE, 2020–2024 (USD MILLION)
  • TABLE 48 PROFESSIONAL SERVICES: SMART WAREHOUSING MARKET, BY TYPE, 2025–2030 (USD MILLION)
  • TABLE 49 PROFESSIONAL SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 50 PROFESSIONAL SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 51 TRAINING & CONSULTING SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 52 TRAINING & CONSULTING SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 53 SYSTEM INTEGRATION & IMPLEMENTATION SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 54 SYSTEM INTEGRATION & IMPLEMENTATION SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 55 SUPPORT & MAINTENANCE SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 56 SUPPORT & MAINTENANCE SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 57 MANAGED SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 58 MANAGED SERVICES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 59 SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2020–2024 (USD MILLION)
  • TABLE 60 SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)
  • TABLE 61 IOT: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 62 IOT: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 63 ROBOTICS AND AUTOMATION: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 64 ROBOTICS AND AUTOMATION: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 65 AI TECHNOLOGY: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 66 AI TECHNOLOGY: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 67 BLOCKCHAIN: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 68 BLOCKCHAIN: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 69 BIG DATA & ANALYTICS: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 70 BIG DATA & ANALYTICS: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 71 SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2020–2024 (USD MILLION)
  • TABLE 72 SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2025–2030 (USD MILLION)
  • TABLE 73 SMALL: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 74 SMALL: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 75 MEDIUM: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 76 MEDIUM: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 77 LARGE: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 78 LARGE: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 79 SMART WAREHOUSING MARKET, BY VERTICAL, 2020–2024 (USD MILLION)
  • TABLE 80 SMART WAREHOUSING MARKET, BY VERTICAL, 2025–2030 (USD MILLION)
  • TABLE 81 SMART WAREHOUSING MARKET, BY TRANSPORTATION & LOGISTICS, 2020–2024 (USD MILLION)
  • TABLE 82 SMART WAREHOUSING MARKET, BY TRANSPORTATION & LOGISTICS, 2025–2030 (USD MILLION)
  • TABLE 83 TRANSPORTATION & LOGISTICS: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 84 TRANSPORTATION & LOGISTICS: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 85 MANUFACTURING: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 86 MANUFACTURING: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 87 HEALTHCARE & LIFE SCIENCES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 88 HEALTHCARE & LIFE SCIENCES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 89 FOOD AND BEVERAGES: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 90 FOOD AND BEVERAGES: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 91 RETAIL & E-COMMERCE: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 92 RETAIL & E-COMMERCE: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 93 OTHER VERTICALS: SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 94 OTHER VERTICALS: SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 95 SMART WAREHOUSING MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 96 SMART WAREHOUSING MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 97 NORTH AMERICA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 98 NORTH AMERICA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 99 NORTH AMERICA: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2020–2024 (USD MILLION)
  • TABLE 100 NORTH AMERICA: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2025–2030 (USD MILLION)
  • TABLE 101 NORTH AMERICA: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2020–2024 USD MILLION)
  • TABLE 102 NORTH AMERICA: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2025–2030 (USD MILLION)
  • TABLE 103 NORTH AMERICA: SMART WAREHOUSING MARKET, BY SOFTWARE, 2020–2024 (USD MILLION)
  • TABLE 104 NORTH AMERICA: SMART WAREHOUSING MARKET, BY SOFTWARE, 2025–2030 (USD MILLION)
  • TABLE 105 NORTH AMERICA: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION)
  • TABLE 106 NORTH AMERICA: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2025–2030 (USD MILLION)
  • TABLE 107 NORTH AMERICA: SMART WAREHOUSING MARKET, BY SERVICES, 2020–2024 (USD MILLION)
  • TABLE 108 NORTH AMERICA: SMART WAREHOUSING MARKET, BY SERVICES, 2025–2030 (USD MILLION)
  • TABLE 109 NORTH AMERICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2020–2024 (USD MILLION)
  • TABLE 110 NORTH AMERICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2025–2030 (USD MILLION)
  • TABLE 111 NORTH AMERICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2020–2024 (USD MILLION)
  • TABLE 112 NORTH AMERICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2025–2030 (USD MILLION)
  • TABLE 113 NORTH AMERICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2020–2024 (USD MILLION)
  • TABLE 114 NORTH AMERICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)
  • TABLE 115 NORTH AMERICA: SMART WAREHOUSING MARKET, BY VERTICAL, 2020–2024 (USD MILLION)
  • TABLE 116 NORTH AMERICA: SMART WAREHOUSING MARKET, BY VERTICAL, 2025–2030 (USD MILLION)
  • TABLE 117 NORTH AMERICA: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2020–2024 (USD MILLION)
  • TABLE 118 NORTH AMERICA: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2025–2030 (USD MILLION)
  • TABLE 119 NORTH AMERICA: SMART WAREHOUSING MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
  • TABLE 120 NORTH AMERICA: SMART WAREHOUSING MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 121 US: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 122 US: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 123 CANADA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 124 CANADA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 125 EUROPE: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 126 EUROPE: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 127 EUROPE: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2020–2024 (USD MILLION)
  • TABLE 128 EUROPE: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2025–2030 (USD MILLION)
  • TABLE 129 EUROPE: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2020–2024 USD MILLION)
  • TABLE 130 EUROPE: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2025–2030 (USD MILLION)
  • TABLE 131 EUROPE: SMART WAREHOUSING MARKET, BY SOFTWARE, 2020–2024 (USD MILLION)
  • TABLE 132 EUROPE: SMART WAREHOUSING MARKET, BY SOFTWARE, 2025–2030 (USD MILLION)
  • TABLE 133 EUROPE: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION)
  • TABLE 134 EUROPE: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2025–2030 (USD MILLION)
  • TABLE 135 EUROPE: SMART WAREHOUSING MARKET, BY SERVICES, 2020–2024 (USD MILLION)
  • TABLE 136 EUROPE: SMART WAREHOUSING MARKET, BY SERVICES, 2025–2030 (USD MILLION)
  • TABLE 137 EUROPE: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2020–2024 (USD MILLION)
  • TABLE 138 EUROPE: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2025–2030 (USD MILLION)
  • TABLE 139 EUROPE: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2020–2024 (USD MILLION)
  • TABLE 140 EUROPE: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2025–2030 (USD MILLION)
  • TABLE 141 EUROPE: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2020–2024 (USD MILLION)
  • TABLE 142 EUROPE: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)
  • TABLE 143 EUROPE: SMART WAREHOUSING MARKET, BY VERTICAL, 2020–2024 (USD MILLION)
  • TABLE 144 EUROPE: SMART WAREHOUSING MARKET, BY VERTICAL, 2025–2030 (USD MILLION)
  • TABLE 145 EUROPE: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2020–2024 (USD MILLION)
  • TABLE 146 EUROPE: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2025–2030 (USD MILLION)
  • TABLE 147 EUROPE: SMART WAREHOUSING MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
  • TABLE 148 EUROPE: SMART WAREHOUSING MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 149 UK: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 150 UK: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 151 GERMANY: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 152 GERMANY: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 153 FRANCE: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 154 FRANCE: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 155 ITALY: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 156 ITALY: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 157 SPAIN: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 158 SPAIN: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 159 REST OF EUROPE: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 160 REST OF EUROPE: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 161 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 162 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 163 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2020–2024 (USD MILLION)
  • TABLE 164 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2025–2030 (USD MILLION)
  • TABLE 165 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2020–2024 USD MILLION)
  • TABLE 166 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2025–2030 (USD MILLION)
  • TABLE 167 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY SOFTWARE, 2020–2024 (USD MILLION)
  • TABLE 168 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY SOFTWARE, 2025–2030 (USD MILLION)
  • TABLE 169 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION)
  • TABLE 170 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2025–2030 (USD MILLION)
  • TABLE 171 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY SERVICES, 2020–2024 (USD MILLION)
  • TABLE 172 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY SERVICES, 2025–2030 (USD MILLION)
  • TABLE 173 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2020–2024 (USD MILLION)
  • TABLE 174 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2025–2030 (USD MILLION)
  • TABLE 175 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2020–2024 (USD MILLION)
  • TABLE 176 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2025–2030 (USD MILLION)
  • TABLE 177 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2020–2024 (USD MILLION)
  • TABLE 178 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)
  • TABLE 179 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY VERTICAL, 2020–2024 (USD MILLION)
  • TABLE 180 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY VERTICAL, 2025–2030 (USD MILLION)
  • TABLE 181 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2020–2024 (USD MILLION)
  • TABLE 182 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2025–2030 (USD MILLION)
  • TABLE 183 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
  • TABLE 184 ASIA PACIFIC: SMART WAREHOUSING MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 185 CHINA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 186 CHINA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 187 JAPAN: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 188 JAPAN: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 189 INDIA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 190 INDIA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 191 SOUTH KOREA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 192 SOUTH KOREA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 193 AUSTRALIA & NEW ZEALAND: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 194 AUSTRALIA & NEW ZEALAND: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 195 ASEAN: SMART WAREHOUSING MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
  • TABLE 196 ASEAN: SMART WAREHOUSING MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 197 ASEAN: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 198 ASEAN: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 199 REST OF ASIA PACIFIC: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 200 REST OF ASIA PACIFIC: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 201 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 202 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 203 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2020–2024 (USD MILLION)
  • TABLE 204 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2025–2030 (USD MILLION)
  • TABLE 205 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2020–2024 USD MILLION)
  • TABLE 206 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2025–2030 (USD MILLION)
  • TABLE 207 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY SOFTWARE, 2020–2024 (USD MILLION)
  • TABLE 208 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY SOFTWARE, 2025–2030 (USD MILLION)
  • TABLE 209 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION)
  • TABLE 210 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2025–2030 (USD MILLION)
  • TABLE 211 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY SERVICES, 2020–2024 (USD MILLION)
  • TABLE 212 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY SERVICES, 2025–2030 (USD MILLION)
  • TABLE 213 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2020–2024 (USD MILLION)
  • TABLE 214 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2025–2030 (USD MILLION)
  • TABLE 215 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2020–2024 (USD MILLION)
  • TABLE 216 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2025–2030 (USD MILLION)
  • TABLE 217 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2020–2024 (USD MILLION)
  • TABLE 218 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)
  • TABLE 219 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY VERTICAL, 2020–2024 (USD MILLION)
  • TABLE 220 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY VERTICAL, 2025–2030 (USD MILLION)
  • TABLE 221 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2020–2024 (USD MILLION)
  • TABLE 222 MIDDLE EAST & AFRICA: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2025–2030 (USD MILLION)
  • TABLE 223 MIDDLE EAST: SMART WAREHOUSING MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
  • TABLE 224 MIDDLE EAST: SMART WAREHOUSING MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 225 SAUDI ARABIA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 226 SAUDI ARABIA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 227 UAE: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 228 UAE: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 229 QATAR: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 230 QATAR: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 231 TURKEY: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 232 TURKEY: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 233 REST OF MIDDLE EAST: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 234 REST OF MIDDLE EAST: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 235 AFRICA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 236 AFRICA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 237 LATIN AMERICA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 238 LATIN AMERICA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 239 LATIN AMERICA: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2020–2024 (USD MILLION)
  • TABLE 240 LATIN AMERICA: SMART WAREHOUSING MARKET, BY AUTOMATED SYSTEMS, 2025–2030 (USD MILLION)
  • TABLE 241 LATIN AMERICA: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2020–2024 USD MILLION)
  • TABLE 242 LATIN AMERICA: SMART WAREHOUSING MARKET, BY ROBOTIC SYSTEMS, 2025–2030 (USD MILLION)
  • TABLE 243 LATIN AMERICA: SMART WAREHOUSING MARKET, BY SOFTWARE, 2020–2024 (USD MILLION)
  • TABLE 244 LATIN AMERICA: SMART WAREHOUSING MARKET, BY SOFTWARE, 2025–2030 (USD MILLION)
  • TABLE 245 LATIN AMERICA: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION)
  • TABLE 246 LATIN AMERICA: SMART WAREHOUSING MARKET, BY DEPLOYMENT MODE, 2025–2030 (USD MILLION)
  • TABLE 247 LATIN AMERICA: SMART WAREHOUSING MARKET, BY SERVICES, 2020–2024 (USD MILLION)
  • TABLE 248 LATIN AMERICA: SMART WAREHOUSING MARKET, BY SERVICES, 2025–2030 (USD MILLION)
  • TABLE 249 LATIN AMERICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2020–2024 (USD MILLION)
  • TABLE 250 LATIN AMERICA: SMART WAREHOUSING MARKET, BY PROFESSIONAL SERVICES, 2025–2030 (USD MILLION)
  • TABLE 251 LATIN AMERICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2020–2024 (USD MILLION)
  • TABLE 252 LATIN AMERICA: SMART WAREHOUSING MARKET, BY WAREHOUSE SIZE, 2025–2030 (USD MILLION)
  • TABLE 253 LATIN AMERICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2020–2024 (USD MILLION)
  • TABLE 254 LATIN AMERICA: SMART WAREHOUSING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)
  • TABLE 255 LATIN AMERICA: SMART WAREHOUSING MARKET, BY VERTICAL, 2020–2024 (USD MILLION)
  • TABLE 256 LATIN AMERICA: SMART WAREHOUSING MARKET, BY VERTICAL, 2025–2030 (USD MILLION)
  • TABLE 257 LATIN AMERICA: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2020–2024 (USD MILLION)
  • TABLE 258 LATIN AMERICA: SMART WAREHOUSING MARKET, BY TRANSPORTATION AND LOGISTICS, 2025–2030 (USD MILLION)
  • TABLE 259 LATIN AMERICA: SMART WAREHOUSING MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
  • TABLE 260 LATIN AMERICA: SMART WAREHOUSING MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 261 BRAZIL: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 262 BRAZIL: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 263 MEXICO: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 264 MEXICO: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 265 ARGENTINA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 266 ARGENTINA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 267 REST OF LATIN AMERICA: SMART WAREHOUSING MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 268 REST OF LATIN AMERICA: SMART WAREHOUSING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 269 OVERVIEW OF STRATEGIES ADOPTED BY KEY SMART WAREHOUSING VENDORS, 2022–2025
  • TABLE 270 SMART WAREHOUSING MARKET: DEGREE OF COMPETITION
  • TABLE 271 SMART WAREHOUSING MARKET: REGION FOOTPRINT
  • TABLE 272 SMART WAREHOUSING MARKET: OFFERING FOOTPRINT
  • TABLE 273 SMART WAREHOUSING MARKET: TECHNOLOGY FOOTPRINT
  • TABLE 274 SMART WAREHOUSING MARKET: VERTICAL FOOTPRINT
  • TABLE 275 SMART WAREHOUSING MARKET: KEY STARTUPS/SMES, 2024
  • TABLE 276 SMART WAREHOUSING MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES, 2024
  • TABLE 277 SMART WAREHOUSING MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, MARCH 2020–MAY 2025
  • TABLE 278 SMART WAREHOUSING MARKET: DEALS, MARCH 2020–MAY 2025
  • TABLE 279 MANHATTAN ASSOCIATES: BUSINESS OVERVIEW
  • TABLE 280 MANHATTAN ASSOCIATES: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 281 MANHATTAN ASSOCIATES: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 282 MANHATTAN ASSOCIATES: DEALS
  • TABLE 283 KÖRBER: BUSINESS OVERVIEW
  • TABLE 284 KÖRBER: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 285 KÖRBER: DEALS
  • TABLE 286 ORACLE: BUSINESS OVERVIEW
  • TABLE 287 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 288 ORACLE: DEALS
  • TABLE 289 SAP: BUSINESS OVERVIEW
  • TABLE 290 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 291 SAP: DEALS
  • TABLE 292 DEMATIC (KION GROUP): BUSINESS OVERVIEW
  • TABLE 293 DEMATIC (KION GROUP): PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 294 DEMATIC (KION GROUP): DEALS
  • TABLE 295 PSI GROUP: BUSINESS OVERVIEW
  • TABLE 296 PSI GROUP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 297 PSI GROUP: DEALS
  • TABLE 298 SAMSUNG SDS: BUSINESS OVERVIEW
  • TABLE 299 SAMSUNG SDS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 300 SAMSUNG SDS: DEALS
  • TABLE 301 REPLY: BUSINESS OVERVIEW
  • TABLE 302 REPLY: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 303 REPLY: DEALS
  • TABLE 304 INFOR: BUSINESS OVERVIEW
  • TABLE 305 INFOR: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 306 INFOR: DEALS
  • TABLE 307 IBM: BUSINESS OVERVIEW
  • TABLE 308 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 309 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 310 IBM: DEALS
  • TABLE 311 BLUE YONDER: BUSINESS OVERVIEW
  • TABLE 312 BLUE YONDER: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 313 BLUE YONDER: DEALS
  • TABLE 314 LOGISTICS AUTOMATION MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 315 LOGISTICS AUTOMATION MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 316 SOFTWARE: LOGISTICS AUTOMATION MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 317 SOFTWARE: LOGISTICS AUTOMATION MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
  • TABLE 318 LOGISTICS AUTOMATION MARKET, BY LOGISTICS TYPE, 2019–2023 (USD MILLION)
  • TABLE 319 LOGISTICS AUTOMATION MARKET, BY LOGISTICS TYPE, 2024–2029 (USD MILLION)
  • TABLE 320 LOGISTICS AUTOMATION MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 321 LOGISTICS AUTOMATION MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 322 LOGISTICS AUTOMATION MARKET, BY ENTERPRISE TYPE, 2019–2023 (USD MILLION)
  • TABLE 323 LOGISTICS AUTOMATION MARKET, BY ENTERPRISE TYPE, 2024–2029 (USD MILLION)
  • TABLE 324 LOGISTICS AUTOMATION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 325 LOGISTICS AUTOMATION MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 326 SUPPLY CHAIN ANALYTICS MARKET, BY OFFERING, 2016–2021 (USD BILLION)
  • TABLE 327 SUPPLY CHAIN ANALYTICS MARKET, BY OFFERING, 2022–2027 (USD BILLION)
  • TABLE 328 SUPPLY CHAIN ANALYTICS MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION)
  • TABLE 329 SUPPLY CHAIN ANALYTICS MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
  • TABLE 330 SUPPLY CHAIN ANALYTICS MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION)
  • TABLE 331 SUPPLY CHAIN ANALYTICS MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION)
  • TABLE 332 SUPPLY CHAIN ANALYTICS MARKET SIZE, BY ORGANIZATION, 2016–2021 (USD BILLION)
  • TABLE 333 SUPPLY CHAIN ANALYTICS MARKET SIZE, BY ORGANIZATION, 2022–2027 (USD BILLION)
  • TABLE 334 SUPPLY CHAIN ANALYTICS MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD BILLION)
  • TABLE 335 SUPPLY CHAIN ANALYTICS MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD BILLION)
  • TABLE 336 SUPPLY CHAIN ANALYTICS MARKET, BY VERTICAL, 2016–2021 (USD BILLION)
  • TABLE 337 SUPPLY CHAIN ANALYTICS MARKET, BY VERTICAL, 2022–2027 (USD BILLION)
  • TABLE 338 SUPPLY CHAIN ANALYTICS MARKET, BY REGION, 2016–2021 (USD BILLION)
  • TABLE 339 SUPPLY CHAIN ANALYTICS MARKET, BY REGION, 2022–2027 (USD BILLION)
LIST OF FIGURES
 
  • FIGURE 1 SMART WAREHOUSING MARKET: RESEARCH DESIGN
  • FIGURE 2 BREAKDOWN OF PRIMARY INTERVIEWS, BY COMPANY TYPE, DESIGNATION, AND REGION
  • FIGURE 3 SMART WAREHOUSING MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 1 (SUPPLY SIDE): REVENUE OF VENDORS IN SMART WAREHOUSING MARKET
  • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 2 (DEMAND SIDE): SMART WAREHOUSING MARKET
  • FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: DEMAND-SIDE ANALYSIS
  • FIGURE 7 MARKET SIZE ESTIMATION USING BOTTOM-UP APPROACH
  • FIGURE 8 SMART WAREHOUSING MARKET: DATA TRIANGULATION
  • FIGURE 9 AUTOMATED SYSTEMS SEGMENT TO DOMINATE MARKET IN 2025
  • FIGURE 10 ROBOTICS & AUTOMATION TO HOLD LARGEST MARKET SHARE IN 2025
  • FIGURE 11 LARGE WAREHOUSE SIZE SEGMENT TO LEAD MARKET IN 2025
  • FIGURE 12 HEALTHCARE & LIFE SCIENCES TO HOLD HIGHEST GROWTH RATE IN 2025
  • FIGURE 13 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 14 CONVERGENCE OF IOT AND 5G ACCELERATING WAREHOUSE INTELLIGENCE TO DRIVE MARKET
  • FIGURE 15 AUTOMATIC IDENTIFICATION & DATA COLLECTION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 16 AUTOMATED SYSTEMS AND LARGE WAREHOUSE SIZE SEGMENTS TO DOMINATE MARKET IN NORTH AMERICA IN 2025
  • FIGURE 17 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2025
  • FIGURE 18 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: SMART WAREHOUSING MARKET
  • FIGURE 19 EVOLUTION: SMART WAREHOUSING
  • FIGURE 20 SMART WAREHOUSING MARKET ECOSYSTEM
  • FIGURE 21 SMART WAREHOUSING MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 22 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING, 2025
  • FIGURE 23 LIST OF KEY PATENTS FOR SMART WAREHOUSING, 2015–2025
  • FIGURE 24 SMART WAREHOUSING MARKET: PORTER’S FIVE FORCES ANALYSIS
  • FIGURE 25 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
  • FIGURE 26 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
  • FIGURE 27 SMART WAREHOUSING MARKET: TRENDS AND DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 28 EXPORT SCENARIO FOR HS CODE 8428, BY KEY COUNTRY, 2017–2024
  • FIGURE 29 IMPORT VALUE FOR HS CODE 8428IMPORT, BY KEY COUNTRY, 2017–2024
  • FIGURE 30 INVESTMENT AND FUNDING SCENARIO, 2019–2024 (USD MILLION)
  • FIGURE 31 MARKET POTENTIAL OF GENERATIVE AI IN ENHANCING SMART WAREHOUSING ACROSS VARIOUS TYPES OF SOLUTIONS
  • FIGURE 32 GENERATIVE AI BEST PRACTICES ACROSS MAJOR INDUSTRIES
  • FIGURE 33 SMART WAREHOUSING SERVICES TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 34 AUTOMATIC IDENTIFICATION & DATA COLLECTION SEGMENT TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 35 AUTONOMOUS MOBILE ROBOTS SEGMENT TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 36 TRANSPORT MANAGEMENT SYSTEMS TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 37 3PL TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 38 CLOUD DEPLOYMENT SEGMENT TO RECORD HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 39 MANAGED SERVICES SEGMENT TO RECORD HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 40 SUPPORT & MAINTENANCE SERVICES TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 41 ROBOTICS & AUTOMATION SEGMENT TO HOLD LARGEST MARKET SHARE DURING FORECAST PERIOD
  • FIGURE 42 SMALL WAREHOUSES TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 43 HEALTHCARE AND LIFE SCIENCES VERTICAL TO WITNESS HIGHEST GROWTH DURING FORECAST PERIOD
  • FIGURE 44 3PL VERTICAL TO WITNESS HIGHEST GROWTH DURING FORECAST PERIOD
  • FIGURE 45 NORTH AMERICA TO BE LARGEST REGIONAL MARKET DURING FORECAST PERIOD
  • FIGURE 46 INDIA TO WITNESS FASTEST GROWTH DURING FORECAST PERIOD
  • FIGURE 47 NORTH AMERICA: SMART WAREHOUSING MARKET SNAPSHOT
  • FIGURE 48 ASIA PACIFIC: SMART WAREHOUSING MARKET SNAPSHOT
  • FIGURE 49 SMART WAREHOUSING MARKET: REVENUE ANALYSIS OF KEY PLAYERS, 2020–2024
  • FIGURE 50 SMART WAREHOUSING MARKET SHARE ANALYSIS, 2024
  • FIGURE 51 PRODUCT COMPARATIVE ANALYSIS, BY SOFTWARE VENDORS
  • FIGURE 52 BRAND COMPARATIVE ANALYSIS, BY AUTOMATED SYSTEM VENDORS
  • FIGURE 53 FINANCIAL METRICS OF KEY VENDORS
  • FIGURE 54 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
  • FIGURE 55 SMART WAREHOUSING MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024
  • FIGURE 56 SMART WAREHOUSING MARKET: COMPANY FOOTPRINT
  • FIGURE 57 SMART WAREHOUSING MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2024
  • FIGURE 58 MANHATTAN ASSOCIATES: COMPANY SNAPSHOT
  • FIGURE 59 ORACLE: COMPANY SNAPSHOT
  • FIGURE 60 SAP: COMPANY SNAPSHOT
  • FIGURE 61 PSI GROUP: COMPANY SNAPSHOT
  • FIGURE 62 SAMSUNG SDS: COMPANY SNAPSHOT
  • FIGURE 63 REPLY: COMPANY SNAPSHOT
  • FIGURE 64 IBM: COMPANY SNAPSHOT

This research study on the smart warehousing market involved extensive secondary sources, directories, IEEE Communication-Efficient: Algorithms and Systems, International Journal of Innovation and Technology Management, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred smart warehousing solution providers, third-party service providers, consulting service providers, hardware providers, end users, and other commercial enterprises. In-depth interviews with primary respondents, including key industry participants and subject matter experts, were conducted 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 identify and collect 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, the smart warehousing spending of various countries was extracted from the respective sources.

Primary Research

In the primary research process, various sources from the 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, such as Chief Experience Officers (CXOs), Vice Presidents (VPs), and directors specializing in business development, marketing, and smart warehousing providers. It also included key executives from smart warehousing solution vendors, system integrators (SIs), professional service providers, hardware providers, industry associations, and other key opinion leaders.

Smart Warehousing Market Size, and Share

Note: Tier 1 companies’ revenues are more than USD 10 billion; tier 2 companies’ revenues range between
USD 1 and 10 billion; and tier 3 companies’ revenues range between USD 500 million and USD 1 billion. Other designations include
sales managers, marketing managers, and product managers.
Source: Industry Experts

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

Market Size Estimation

Multiple approaches were adopted to estimate and forecast the smart warehousing market. The first approach involved estimating the market size by companies’ revenue generated through the sale of smart warehousing products.

Market Size Estimation Methodology- Top-down approach

In the top-down approach, an exhaustive list of all the vendors offering products in the smart warehousing market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor’s offerings were evaluated based on software, services, hardware, warehouse size offered, technology, vertical, and region. The markets were triangulated through primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets’ repository for validation.

Market Size Estimation Methodology-Bottom-up approach

In the bottom-up approach, the adoption rate of smart warehousing products among different verticals in key countries, concerning their regions contributing the most to the market share, was identified. For cross-validation, the adoption of smart warehousing products among enterprises, 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 an 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.

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

Smart Warehousing Market Top Down and Bottom Up Approach

Data Triangulation

The market was split into several segments and subsegments after arriving at the overall market size using the market size estimation processes as explained above. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Market Definition

The smart warehousing market refers to the software, hardware, and services ecosystem that enables automated, data-driven warehouse operations. It leverages AI, IoT, robotics, and cloud computing technologies to optimize inventory management, improve operational efficiency, and enhance real-time visibility across supply chain functions.

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)
  • Independent software vendors (ISV)
  • Third-party providers
  • Technology providers

Report Objectives

  • To define, describe, and forecast the smart warehousing market by offering, warehouse size, technology, and vertical
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing 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 the five main regions: North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America
  • To profile the key players and comprehensively analyze their market ranking and core competencies
  • To analyze competitive developments, such as partnerships, product launches, and mergers and acquisitions, in the smart warehousing market

Available Customizations

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

Product Analysis

  • The product matrix provides a detailed comparison of each company's product portfolio.

Geographic Analysis as per Feasibility

  • Further breakup of the North American smart warehousing market
  • Further breakup of the European smart warehousing market
  • Further breakup of the Asia Pacific smart warehousing market
  • Further breakup of the Middle East & Africa smart warehousing market
  • Further breakup of the Latin American smart warehousing market

Company Information

  • Detailed analysis and profiling of additional market players (up to five)

Previous Versions of this Report

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
Published in Sep, 2023, By MarketsandMarkets™

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
Published in Oct, 2021, By MarketsandMarkets™
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