Smart Warehouse Market - Global Outlook & Forecast 2025-2030

The global smart warehouse market is expected to grow at a CAGR of 8.44% from 2024 to 2030.

MARKET TRENDS & DRIVERS

Advanced Inventory Management

The demand for smart warehouses is surging due to the adoption of advanced inventory management technologies like AI, IoT, and RFID. These innovations allow real-time visibility into stock levels, enabling businesses to optimize storage, reduce inventory errors, and ensure timely replenishment. Moreover, predictive analytics with AI integration helps companies forecast demand more accurately, reducing stockouts and excess inventory. Additionally, IoT-enabled devices improve communication between warehouse systems, ensuring smooth operations and better coordination, especially in high-demand sectors such as e-commerce, retail, and manufacturing.

Expanding Automation in Supply Chain

Technologies such as robotics, automated guided vehicles (AGVs), and automated storage and retrieval systems (AS/RS) are increasingly being adopted to enhance warehouse efficiency. These solutions reduce the dependence on manual labor, lower operational costs, and speed up processes like picking, packing, and sorting. As businesses face rising customer expectations for faster deliveries, automation ensures scalability and consistency, enabling warehouses to handle higher volumes with precision. The growing emphasis on seamless order fulfillment in industries like logistics and e-commerce is further driving the demand for automated smart warehouse solutions.

MARKET RESTRAINTS

High Initial Cost

The global smart warehouse market is s significantly hindered by the high initial costs associated with digitalization. Implementing automation systems requires substantial capital investment in advanced equipment, software, and solutions, making it a financial challenge for many organizations. Smaller enterprises, in particular, struggle to afford these costs, leading to slow adoption. Resistance to change and reliance on traditional, intuition-driven methods further worsens the issue, limiting the widespread implementation of smart warehousing solutions and restraining market growth.

SEGMENTATION INSIGHTS

INSIGHTS BY COMPONENTS

The global smart warehousing market by components is segmented into hardware, software, and services. In 2024, the hardware segment is dominating the market with a revenue share of more than 38%. This growth can be attributable to the extensive usage of smartphone devices that make it simple to use automated picking tools and inventory control systems to manage the inventory process and lower labor expenses. North America is leading in the adoption of hardware smart warehouse technologies driven by the presence of key market players and high investments in automation. The US saw significant growth in warehouse robotics deployment in 2023 with states like California and Texas becoming hubs for smart logistics. For instance, in 2023 Amazon expanded its smart warehouse operations across states like California and Texas deploying its Proteus autonomous mobile robots (AMRs).

The hardware segment is further classified into sensors & detectors, automation devices, storage & retrieval systems, and other hardware. In 2024, the sensors & detector segment is dominating the hardware smart warehouse market by hardware and accounted for a revenue share of over 37%. The growth of this segment is attributed to the rising utilization of automation in warehouse systems. Moreover, automation devices are also gaining momentum and are the second-largest market for the hardware segment. The growth is driven by the increasing need for robots, and AGVs to minimize human involvement which reduces errors and enhances operations in modern smart warehouses.

The software component segment is growing at a high CAGR rate of 9.00% in the global smart warehouse market driven by the rising demand for advanced warehouse management systems, predictive analytics, and real-time inventory tracking solutions. The software segment is further segmented into warehouse management systems, inventory management systems, order management solutions, and other software. In 2024, the warehouse management systems segment will dominate the software smart warehouse market. The rising automation in warehouses boosts the demand for warehouse management systems as they reduce manual errors, inhibit over or under-stocking, and lower operational costs. Moreover, inventory management systems hold the second largest market for software smart warehouse market. The demand for this software is rising to reduce wastage, improve order accuracy, and enhance warehouse efficiency across the logistics sector.

Segmentation by Components

  • Hardware
  • Software
  • Services
Segmentation by Hardware
  • Sensors & Detectors
  • Automation Devices
  • Storage & Retrieval Systems
  • Other Hardware
Segmentation by Software
  • Warehouse Management Systems
  • Inventory Management Systems
  • Order Management Solutions
  • Other Software
INSIGHTS BY TYPE

The global smart warehousing market by type is segmented into private and public. In 2024, the private smart warehouse accounted for the largest share, this growth is attributed to the increasing adoption of customized, in-house warehouse management solutions by large enterprises looking for better control over their operations. Private smart warehouses allow companies to specialize in automation and inventory management systems to meet specific business needs, ensuring efficiency and scalability.

Segmentation by Type
  • Private
  • Public
INSIGHTS BY DEPLOYMENT

The on-premises deployment segment dominated the global smart warehousing market. On-premises setup gives businesses more freedom and control over to specialize their IT infrastructure, also decreases the dependence on the web, and safeguards sensitive company information from theft and fraud. Many companies, especially those in industries like healthcare, defense, and pharmaceuticals, are concerned about sharing sensitive data with third-party cloud providers and are encouraging the demand for on-premises smart warehousing systems. For instance, in 2023, Pfizer, a global leader in the pharmaceutical industry, deals with highly sensitive research and development (R&D) data, clinical trial results, and intellectual property implemented smart warehousing solutions for its supply chain management and clinical trial data processing systems, avoiding the risk of exposure via third-party cloud services.

Segmentation by Deployment
  • On-premises
  • Cloud
INSIGHTS BY TECHNOLOGY

The IoT technology segment holds the most significant share of the global smart warehousing market in 2024 and is growing at a CAGR of 8.42% during the forecast period. 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. Furthermore, the rise of e-commerce in countries like China, India, and Japan has increased the demand for advanced warehouse automation significantly surging the IoT adoption in warehouses. The UAE and Saudi Arabia are also in the lead of this transformation, with companies like DP World leveraging IoT solutions to enhance warehouse operations. Companies investing in IoT-driven solutions will gain a competitive edge, addressing evolving consumer expectations and market dynamics.

Segmentation by Technology
  • IoT
  • Automation & Robotics
  • AI & Analytics
  • Networking & Communications
  • AR & VR
  • Other Technologies
INSIGHTS BY APPLICATION

The global smart warehousing market by application is segmented into order fulfillment, inventory management, asset tracking, predictive analytics, and other applications. The order fulfillment segment had the most prominent market share, the increasing demand for fast and accurate order processing, especially in the booming e-commerce and retail sectors, has been a major contributor to this segment. The integration of advanced technologies such as robotics, IoT, AI, & automation, and smart warehouses have redefined the execution of order fulfillment, in industries like e-commerce, retail, and third-party logistics where speed, accuracy, and cost-efficiency are crucial. Companies like Ocado Technology in the U.K. and Fanuc Corporation in Japan have emerged as leaders in this space, offering cutting-edge robotic picking solutions to cater to the growing e-retailing industries. Further, inventory management is growing at a CAGR of 9.41% driven by the increasing need for businesses to optimize their stock levels, reduce operational inefficiencies, and improve order accuracy. Inventory management systems use advanced technologies such as barcode scanning, RFID-based tracking, GPS-enabled systems, AI algorithms, and IoT sensors to provide real-time visibility and control over inventory.

Segmentation by Application
  • Order Fulfillment
  • Inventory Management
  • Asset Tracking
  • Predictive Analytics
  • Other Applications
INSIGHTS BY END-USERS

The global smart warehousing market by end-users is segmented into transport & logistics, retail & e-commerce, food & beverages, healthcare, automotive, and other applications. In 2024, the transport & logistics segment had the largest market share, as the backbone of global supply chains, the transportation and logistics industry recognized the significant value of smart warehousing solutions in improving efficiency, reducing lead times, and ensuring timely deliveries. As the demand for speedier shipping continues to grow automation is becoming more important in warehouses to handle large volumes of small orders turned around quickly. Moreover, the retail and e-commerce sector represents a fast-growing segment in the global smart warehousing market, due to the surge in online shopping and the evolving expectations of consumers. With e-commerce giants striving to meet rapid order fulfillment demands, retailers are increasingly turning to smart warehouse solutions to improve inventory accuracy, manage stock levels in real-time, and speed up the order-to-ship process. Also, with the rapid increase in online shopping, the need for efficient storage and distribution systems has become paramount. For example, in 2023, Amazon’s investment in robotics-driven warehouses across the U.S. embraced smart solutions to manage escalating e-commerce demands.

Segmentation by End-Users
  • Transport & Logistics
  • Retail & E-commerce
  • Food & Beverages
  • Healthcare
  • Automotive
  • Other Applications
GEOGRAPHICAL ANALYSIS

In 2024, North America held a dominant share of around 35% in the global smart warehousing market. The U.S. has made substantial investments in automation and robotics technologies, positioning itself as a leader in the adoption of smart warehousing solutions. The smart warehouse market growth is further fueled by the presence of major players like Amazon, Walmart, and FedEx, alongside government policies that support automation and technological innovation, accelerating the market's expansion in the region.

Europe is also experiencing steady growth in the global smart warehousing market, driven by advancements in automation and robotics technologies. Countries like Germany, the U.K., and France are increasingly adopting smart warehousing solutions to meet the growing demand for more efficient logistics and inventory management systems. European governments and the EU are actively promoting digital transformation in supply chains through funding and initiatives, encouraging the adoption of smart warehouses to enhance competitiveness and technological innovation. Additionally, the APAC region is expected to witness the fastest growth of 9.63% in the smart warehouse market during the forecast period. The rapid adoption of IoT, AI, and robotics in countries such as China, India, and Japan, coupled with the rising demand for efficient logistics solutions, is fueling the region's swift market expansion.

The expanding e-commerce market in Latin America, fueled by increasing internet penetration and mobile usage, is driving the smart warehousing market to support faster and more efficient last-mile delivery solutions. Also, rising foreign direct investments and regional government initiatives aimed at improving logistics and transportation infrastructure are encouraging the adoption of advanced warehouse solutions, particularly in markets like Brazil, Mexico, and Chile. Furthermore, the growing e-commerce market, particularly in Gulf Cooperation Council (GCC) countries, is driving the smart warehouse market to support efficient inventory management, faster delivery, and enhanced order fulfillment capabilities. Also, significant investments in logistics infrastructure, such as ports and free trade zones in countries like the UAE and Saudi Arabia, are creating opportunities for advanced warehousing solutions to streamline regional and international trade.

Segmentation by Geography
  • North America
  • The U.S.
  • Canada
  • Europe
  • Germany
  • The U.K.
  • France
  • Italy
  • Spain
  • Sweden
  • APAC
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Latin America
  • Brazil
  • Mexico
  • Argentina
  • Chile
  • Middle East & Africa
  • UAE
  • Saudi Arabia
  • South Africa
  • Turkey
VENDORS LANDSCAPE

The major players in this global smart warehousing market are Honeywell International, IBM, Oracle, Armstrong, and Daifuku Coo. Ltd, Manhattan, Infor, Korber, Blue Yonder, Epicor, and others. Companies in the smart warehousing market use a variety of strategies to maintain a competitive edge, including product launches, acquisitions, and research and development (R&D) activities as it allows businesses to expand their technological capabilities and market reach by integrating complementary technologies or acquiring key players in the automation and robotics sectors. Additionally, continuous investment in R&D activities helps companies innovate and develop advanced solutions, ensuring they remain at the lead and meet the growing demand for smarter, more efficient warehousing operations.

Recent Developments in the Global Smart Warehousing Market
  • In 2023, Infor revealed that Zofri implemented the Infor WMS warehouse management system to improve customer service, a key performance indicator in the supply chain. The cloud-based Infor WMS solution, powered by Amazon Web Services (AWS), is deployed with the support of 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.
  • In 2023, Zebra Technologies revealed an advanced AI-powered warehouse management solution that provides real-time data analytics, predictive maintenance, and enhanced visibility for warehouse operations, helping businesses improve operational performance and reduce costs.
Key Company Profiles
  • Honeywell International Inc
  • Zebra Technologies Corporation
  • International Business Machine Corporation (IBM)
  • Oracle
  • Daifuku Co., Ltd.
Other Prominent Vendors
  • Armstrong
  • Smart Warehousing
  • EasyEcom
  • Epicor Software Corporation
  • Foysonis
  • Generix Group
  • Increff
  • Infor
  • Kardex
  • Korber AG
  • Locus Robotics
  • Manhattan Associates
  • PTC
  • Blue Yonder Group
  • SAP
  • XPO
  • Synergy Logistics
  • OPEX Corporation
  • Siemens
  • LogistiX
KEY QUESTIONS ANSWERED:

1. How big is the global smart warehousing market size?

2. What is the growth rate of the global smart warehousing market?

3. What are the significant trends in the smart warehousing market?

4. Which region dominates the global smart warehousing market share?

5. Who are the key players in the global smart warehousing market?


1. SCOPE & COVERAGE
1.1. MARKET DEFINITION
1.1.1. INCLUSIONS
1.1.2. EXCLUSIONS
1.1.3. MARKET ESTIMATION CAVEATS
1.2. SEGMENTS COVERED & DEFINITION
1.1.1 MARKET SEGMENTATION BY COMPONENTS
1.1.2 MARKET SEGMENTATION BY TYPE
1.1.3 MARKET SEGMENTATION BY DEPLOYMENT
1.1.4 MARKET SEGMENTATION BY TECHNOLOGY
1.1.5 MARKET SEGMENTATION BY APPLICATION
1.1.6 MARKET SEGMENTATION BY END-USERS
1.1.7 REGIONS & COUNTRIES COVERED
1.3. MARKET DERIVATION
1.3.1. HISTORIC, BASE & FORECAST YEARS
2. PREMIUM INSIGHTS
2.1. OPPORTUNITY POCKETS
2.1.1. MARKET MATURITY INDICATOR
2.1.2. REGIONAL INSIGHTS
2.2. OVERVIEW
2.3. MARKET ENABLERS
2.3.1. ADVANCED INVENTORY MANAGEMENT
2.3.2. EXPANDING AUTOMATION IN SUPPLY CHAIN
2.4. MARKET RESTRAINTS
2.4.1. HIGH INITIAL COST
2.5. SEGMENTATION ANALYSIS
2.5.1. COMPONENT TYPE
2.5.2. TYPE
2.5.3. DEPLOYMENT
2.5.4. TECHNOLOGY
2.5.5. APPLICATION
2.5.6. END-USERS
2.6. GEOGRAPHICAL ANALYSIS
2.7. VENDORS LANDSCAPE
2.7.1. RECENT DEVELOPMENTS
3. MARKET AT A GLANCE
4. INTRODUCTION
4.1. OVERVIEW
4.2. STRATEGIC DEVELOPMENT
4.3. TRADITIONAL VS SMART WAREHOUSE
4.4. ADVANTAGES OF SMART WAREHOUSE
4.4.1. INCREASED OPERATIONAL EFFICIENCY
4.4.2. ENHANCED INVENTORY MANAGEMENT
4.4.3. IMPROVED ORDER FULFILLMENT
4.4.4. OPTIMAL SPACE UTILIZATION
4.4.5. ENERGY EFFICIENCY
4.5. BENEFITS OF CLOUD COMPUTING FOR WAREHOUSING & LOGISTICS
4.5.1. IMPROVEMENT IN EFFICIENCY
4.5.2. EXTENSIVELY BOOSTS THE SCALABILITY
4.5.3. COST-EFFECTIVE SOLUTION
4.6. SUSTAINABILITY AND ENERGY EFFICIENCY INITIATIVES
4.6.1. REDUCTION IN ENERGY CONSUMPTION THROUGH SMART TECHNOLOGIES
4.6.2. AUTOMATION AND ROBOTICS FOR RESOURCE OPTIMIZATION
4.6.3. ECO-FRIENDLY BUILDING DESIGNS AND MATERIALS
4.7. CHALLENGES ASSOCIATED WITH IMPLEMENTATION OF SMART WAREHOUSES
4.7.1. COST
4.7.2. INTEGRATION COMPLEXITY
4.7.3. WORKFORCE TRANSITION & TRAINING
4.7.4. DATA MANAGEMENT & SECURITY
4.7.5. INFRASTRUCTURE & CONNECTIVITY
4.7.6. SCALABILITY & FLEXIBILITY
4.8. RISING CONSUMPTION OF FROZEN FOOD
5. MARKET OPPORTUNITIES & TRENDS
5.1. GROWING E-COMMERCE INDUSTRY
5.2. EXPANSION OF COLD CHAIN LOGISTICS
5.3. EMERGING ADVANCEMENTS IN SMART WAREHOUSING TECHNOLOGY
6. MARKET GROWTH ENABLERS
6.1. ADVANCED INVENTORY MANAGEMENT
6.2. SURGING GOVERNMENT SUPPORT & INCENTIVES
6.3. EXPANDING AUTOMATION IN SUPPLY CHAIN MANAGEMENT
7. MARKET RESTRAINTS
7.1. HIGH INITIAL COST
7.2. DATA SECURITY & PRIVACY CONCERNS
7.3. INTEGRATION COMPLEXITY
8. MARKET LANDSCAPE
8.1. MARKET SIZE & FORECAST
8.2. PESTLE ANALYSIS
8.2.1. POLITICAL FACTORS
8.2.2. ECONOMIC FACTORS
8.2.3. SOCIAL FACTORS
8.2.4. TECHNOLOGICAL FACTORS
8.2.5. LEGAL FACTORS
8.2.6. ENVIRONMENTAL FACTORS
8.3. FIVE FORCES ANALYSIS
8.3.1. THREAT OF NEW ENTRANTS
8.3.2. BARGAINING POWER OF SUPPLIERS
8.3.3. BARGAINING POWER OF BUYERS
8.3.4. THREAT OF SUBSTITUTES
8.3.5. COMPETITIVE RIVALRY
9. COMPONENTS
9.1. MARKET SNAPSHOT & GROWTH ENGINE
9.2. MARKET OVERVIEW
9.3. HARDWARE
9.3.1. MARKET SIZE & FORECAST
9.3.2. HISTORIC: MARKET BY GEOGRAPHY
9.3.3. MARKET BY GEOGRAPHY
9.4. SOFTWARE
9.4.1. MARKET SIZE & FORECAST
9.4.2. HISTORIC: MARKET BY GEOGRAPHY
9.4.3. MARKET BY GEOGRAPHY
9.5. SERVICES
9.5.1. MARKET SIZE & FORECAST
9.5.2. HISTORIC: MARKET BY GEOGRAPHY
9.5.3. MARKET BY GEOGRAPHY
10. HARDWARE
10.1. MARKET SNAPSHOT & GROWTH ENGINE
10.2. MARKET OVERVIEW
10.3. SENSORS & DETECTOR
10.3.1. MARKET SIZE & FORECAST
10.3.2. HISTORIC: MARKET BY GEOGRAPHY
10.3.3. MARKET BY GEOGRAPHY
10.4. AUTOMATION DEVICES
10.4.1. MARKET SIZE & FORECAST
10.4.2. HISTORIC: MARKET BY GEOGRAPHY
10.4.3. MARKET BY GEOGRAPHY
10.5. STORAGE & RETRIEVAL SYSTEMS
10.5.1. MARKET SIZE & FORECAST
10.5.2. HISTORIC: MARKET BY GEOGRAPHY
10.5.3. MARKET BY GEOGRAPHY
10.6. OTHER HARDWARE
10.6.1. MARKET SIZE & FORECAST
10.6.2. HISTORIC: MARKET BY GEOGRAPHY
10.6.3. MARKET BY GEOGRAPHY
11. SOFTWARE
11.1. MARKET SNAPSHOT & GROWTH ENGINE
11.2. MARKET OVERVIEW
11.3. WAREHOUSE MANAGEMENT SYSTEMS
11.3.1. MARKET SIZE & FORECAST
11.3.2. HISTORIC: MARKET BY GEOGRAPHY
11.3.3. MARKET BY GEOGRAPHY
11.4. INVENTORY MANAGEMENT SYSTEMS
11.4.1. MARKET SIZE & FORECAST
11.4.2. HISTORIC: MARKET BY GEOGRAPHY
11.4.3. MARKET BY GEOGRAPHY
11.5. ORDER MANAGEMENT SOLUTIONS
11.5.1. MARKET SIZE & FORECAST
11.5.2. HISTORIC: MARKET BY GEOGRAPHY
11.5.3. MARKET BY GEOGRAPHY
11.6. OTHER SOFTWARE
11.6.1. MARKET SIZE & FORECAST
11.6.2. HISTORIC: MARKET BY GEOGRAPHY
11.6.3. MARKET BY GEOGRAPHY
12. WAREHOUSE TYPE
12.1. MARKET SNAPSHOT & GROWTH ENGINE
12.2. MARKET OVERVIEW
12.3. PRIVATE
12.3.1. MARKET SIZE & FORECAST
12.3.2. HISTORIC: MARKET BY GEOGRAPHY
12.3.3. MARKET BY GEOGRAPHY
12.4. PUBLIC
12.4.1. MARKET SIZE & FORECAST
12.4.2. HISTORIC: MARKET BY GEOGRAPHY
12.4.3. MARKET BY GEOGRAPHY
13. DEPLOYMENT
13.1. MARKET SNAPSHOT & GROWTH ENGINE
13.2. MARKET OVERVIEW
13.3. ON-PREMISES
13.3.1. MARKET SIZE & FORECAST
13.3.2. HISTORIC: MARKET BY GEOGRAPHY
13.3.3. MARKET BY GEOGRAPHY
13.4. CLOUD
13.4.1. MARKET SIZE & FORECAST
13.4.2. HISTORIC: MARKET BY GEOGRAPHY
13.4.3. MARKET BY GEOGRAPHY
14. TECHNOLOGY
14.1. MARKET SNAPSHOT & GROWTH ENGINE
14.2. MARKET OVERVIEW
14.3. IOT
14.3.1. MARKET SIZE & FORECAST
14.3.2. HISTORIC: MARKET BY GEOGRAPHY
14.3.3. MARKET BY GEOGRAPHY
14.4. AUTOMATION & ROBOTICS
14.4.1. MARKET SIZE & FORECAST
14.4.2. HISTORIC: MARKET BY GEOGRAPHY
14.4.3. MARKET BY GEOGRAPHY
14.5. AI & ANALYTICS
14.5.1. MARKET SIZE & FORECAST
14.5.2. HISTORIC: MARKET BY GEOGRAPHY
14.5.3. MARKET BY GEOGRAPHY
14.6. NETWORKING & COMMUNICATIONS
14.6.1. MARKET SIZE & FORECAST
14.6.2. HISTORIC: MARKET BY GEOGRAPHY
14.6.3. MARKET BY GEOGRAPHY
14.7. AR & VR
14.7.1. MARKET SIZE & FORECAST
14.7.2. HISTORIC: MARKET BY GEOGRAPHY
14.7.3. MARKET BY GEOGRAPHY
14.8. OTHER TECHNOLOGIES
14.8.1. MARKET SIZE & FORECAST
14.8.2. HISTORIC: MARKET BY GEOGRAPHY
14.8.3. MARKET BY GEOGRAPHY
15. APPLICATION
15.1. MARKET SNAPSHOT & GROWTH ENGINE
15.2. MARKET OVERVIEW
15.3. ORDER FULFILLMENT
15.3.1. MARKET SIZE & FORECAST
15.3.2. HISTORIC: MARKET BY GEOGRAPHY
15.3.3. MARKET BY GEOGRAPHY
15.4. INVENTORY MANAGEMENT
15.4.1. MARKET SIZE & FORECAST
15.4.2. HISTORIC: MARKET BY GEOGRAPHY
15.4.3. MARKET BY GEOGRAPHY
15.5. ASSET TRACKING
15.5.1. MARKET SIZE & FORECAST
15.5.2. HISTORIC: MARKET BY GEOGRAPHY
15.5.3. MARKET BY GEOGRAPHY
15.6. PREDICTIVE ANALYTICS
15.6.1. MARKET SIZE & FORECAST
15.6.2. HISTORIC: MARKET BY GEOGRAPHY
15.6.3. MARKET BY GEOGRAPHY
15.7. OTHER APPLICATIONS
15.7.1. MARKET SIZE & FORECAST
15.7.2. HISTORIC: MARKET BY GEOGRAPHY
15.7.3. MARKET BY GEOGRAPHY
16. END-USERS
16.1. MARKET SNAPSHOT & GROWTH ENGINE
16.2. MARKET OVERVIEW
16.3. TRANSPORT & LOGISTICS
16.3.1. MARKET SIZE & FORECAST
16.3.2. HISTORIC: MARKET BY GEOGRAPHY
16.3.3. MARKET BY GEOGRAPHY
16.4. RETAIL & E-COMMERCE
16.4.1. MARKET SIZE & FORECAST
16.4.2. HISTORIC: MARKET BY GEOGRAPHY
16.4.3. MARKET BY GEOGRAPHY
16.5. FOOD & BEVERAGE
16.5.1. MARKET SIZE & FORECAST
16.5.2. HISTORIC: MARKET BY GEOGRAPHY
16.5.3. MARKET BY GEOGRAPHY
16.6. HEALTHCARE
16.6.1. MARKET SIZE & FORECAST
16.6.2. HISTORIC: MARKET BY GEOGRAPHY
16.6.3. MARKET BY GEOGRAPHY
16.7. AUTOMOTIVE
16.7.1. MARKET SIZE & FORECAST
16.7.2. HISTORIC: MARKET BY GEOGRAPHY
16.7.3. MARKET BY GEOGRAPHY
16.8. OTHER USERS
16.8.1. MARKET SIZE & FORECAST
16.8.2. HISTORIC: MARKET BY GEOGRAPHY
16.8.3. MARKET BY GEOGRAPHY
17. GEOGRAPHY
17.1. MARKET SNAPSHOT & GROWTH ENGINE
17.2. GEOGRAPHIC OVERVIEW
18. NORTH AMERICA
18.1. MARKET SIZE & FORECAST
18.2. COMPONENTS
18.2.1. HISTORIC: MARKET BY GEOGRAPHY
18.2.2. MARKET BY GEOGRAPHY
18.3. HARDWARE
18.3.1. HISTORIC: MARKET BY GEOGRAPHY
18.3.2. MARKET BY GEOGRAPHY
18.4. SOFTWARE
18.4.1. HISTORIC: MARKET BY GEOGRAPHY
18.4.2. MARKET BY GEOGRAPHY
18.5. TYPE
18.5.1. HISTORIC: MARKET BY GEOGRAPHY
18.5.2. MARKET BY GEOGRAPHY
18.6. DEPLOYMENT
18.6.1. HISTORIC: MARKET BY GEOGRAPHY
18.6.2. MARKET BY GEOGRAPHY
18.7. TECHNOLOGY
18.7.1. HISTORIC: MARKET BY GEOGRAPHY
18.7.2. MARKET BY GEOGRAPHY
18.8. APPLICATION
18.8.1. HISTORIC: MARKET BY GEOGRAPHY
18.8.2. MARKET BY GEOGRAPHY
18.9. END-USERS
18.9.1. HISTORIC: MARKET BY GEOGRAPHY
18.9.2. MARKET BY GEOGRAPHY
18.10. KEY COUNTRIES
18.11. US: MARKET SIZE & FORECAST
18.12. CANADA: MARKET SIZE & FORECAST
19. EUROPE
19.1. MARKET SIZE & FORECAST
19.2. COMPONENTS
19.2.1. HISTORIC: MARKET BY GEOGRAPHY
19.2.2. MARKET BY GEOGRAPHY
19.3. HARDWARE
19.3.1. HISTORIC: MARKET BY GEOGRAPHY
19.3.2. MARKET BY GEOGRAPHY
19.4. SOFTWARE
19.4.1. HISTORIC: MARKET BY GEOGRAPHY
19.4.2. MARKET BY GEOGRAPHY
19.5. TYPE
19.5.1. HISTORIC: MARKET BY GEOGRAPHY
19.5.2. MARKET BY GEOGRAPHY
19.6. DEPLOYMENT
19.6.1. HISTORIC: MARKET BY GEOGRAPHY
19.6.2. MARKET BY GEOGRAPHY
19.7. TECHNOLOGY
19.7.1. HISTORIC: MARKET BY GEOGRAPHY
19.7.2. MARKET BY GEOGRAPHY
19.8. APPLICATION
19.8.1. HISTORIC: MARKET BY GEOGRAPHY
19.8.2. MARKET BY GEOGRAPHY
19.9. END-USERS
19.9.1. HISTORIC: MARKET BY GEOGRAPHY
19.9.2. MARKET BY GEOGRAPHY
19.10. KEY COUNTRIES
19.11. GERMANY: MARKET SIZE & FORECAST
19.12. UK: MARKET SIZE & FORECAST
19.13. FRANCE: MARKET SIZE & FORECAST
19.14. ITALY: MARKET SIZE & FORECAST
19.15. SPAIN: MARKET SIZE & FORECAST
19.16. SWEDEN: MARKET SIZE & FORECAST
20. APAC
20.1. MARKET SIZE & FORECAST
20.2. COMPONENTS
20.2.1. HISTORIC: MARKET BY GEOGRAPHY
20.2.2. MARKET BY GEOGRAPHY
20.3. HARDWARE
20.3.1. HISTORIC: MARKET BY GEOGRAPHY
20.3.2. MARKET BY GEOGRAPHY
20.4. SOFTWARE
20.4.1. HISTORIC: MARKET BY GEOGRAPHY
20.4.2. MARKET BY GEOGRAPHY
20.5. TYPE
20.5.1. HISTORIC: MARKET BY GEOGRAPHY
20.5.2. MARKET BY GEOGRAPHY
20.6. DEPLOYMENT
20.6.1. HISTORIC: MARKET BY GEOGRAPHY
20.6.2. MARKET BY GEOGRAPHY
20.7. TECHNOLOGY
20.7.1. HISTORIC: MARKET BY GEOGRAPHY
20.7.2. MARKET BY GEOGRAPHY
20.8. APPLICATION
20.8.1. HISTORIC: MARKET BY GEOGRAPHY
20.8.2. MARKET BY GEOGRAPHY
20.9. END-USERS
20.9.1. HISTORIC: MARKET BY GEOGRAPHY
20.9.2. MARKET BY GEOGRAPHY
20.10. KEY COUNTRIES
20.11. CHINA: MARKET SIZE & FORECAST
20.12. JAPAN: MARKET SIZE & FORECAST
20.13. INDIA: MARKET SIZE & FORECAST
20.14. SOUTH KOREA: MARKET SIZE & FORECAST
20.15. AUSTRALIA: MARKET SIZE & FORECAST
20.16. INDONESIA: MARKET SIZE & FORECAST
21. LATIN AMERICA
21.1. MARKET SIZE & FORECAST
21.2. COMPONENTS
21.2.1. HISTORIC: MARKET BY GEOGRAPHY
21.2.2. MARKET BY GEOGRAPHY
21.3. HARDWARE
21.3.1. HISTORIC: MARKET BY GEOGRAPHY
21.3.2. MARKET BY GEOGRAPHY
21.4. SOFTWARE
21.4.1. HISTORIC: MARKET BY GEOGRAPHY
21.4.2. MARKET BY GEOGRAPHY
21.5. TYPE
21.5.1. HISTORIC: MARKET BY GEOGRAPHY
21.5.2. MARKET BY GEOGRAPHY
21.6. DEPLOYMENT
21.6.1. HISTORIC: MARKET BY GEOGRAPHY
21.6.2. MARKET BY GEOGRAPHY
21.7. TECHNOLOGY
21.7.1. HISTORIC: MARKET BY GEOGRAPHY
21.7.2. MARKET BY GEOGRAPHY
21.8. APPLICATION
21.8.1. HISTORIC: MARKET BY GEOGRAPHY
21.8.2. MARKET BY GEOGRAPHY
21.9. END-USERS
21.9.1. HISTORIC: MARKET BY GEOGRAPHY
21.9.2. MARKET BY GEOGRAPHY
21.10. KEY COUNTRIES
21.11. BRAZIL: MARKET SIZE & FORECAST
21.12. MEXICO: MARKET SIZE & FORECAST
21.13. ARGENTINA: MARKET SIZE & FORECAST
21.14. CHILE: MARKET SIZE & FORECAST
22. MIDDLLE EAST & AFRICA
22.1. MARKET SIZE & FORECAST
22.2. COMPONENTS
22.2.1. HISTORIC: MARKET BY GEOGRAPHY
22.2.2. MARKET BY GEOGRAPHY
22.3. HARDWARE
22.3.1. HISTORIC: MARKET BY GEOGRAPHY
22.3.2. MARKET BY GEOGRAPHY
22.4. SOFTWARE
22.4.1. HISTORIC: MARKET BY GEOGRAPHY
22.4.2. MARKET BY GEOGRAPHY
22.5. TYPE
22.5.1. HISTORIC: MARKET BY GEOGRAPHY
22.5.2. MARKET BY GEOGRAPHY
22.6. DEPLOYMENT
22.6.1. HISTORIC: MARKET BY GEOGRAPHY
22.6.2. MARKET BY GEOGRAPHY
22.7. TECHNOLOGY
22.7.1. HISTORIC: MARKET BY GEOGRAPHY
22.7.2. MARKET BY GEOGRAPHY
22.8. APPLICATION
22.8.1. HISTORIC: MARKET BY GEOGRAPHY
22.8.2. MARKET BY GEOGRAPHY
22.9. END-USERS
22.9.1. HISTORIC: MARKET BY GEOGRAPHY
22.9.2. MARKET BY GEOGRAPHY
22.10. KEY COUNTRIES
22.11. UAE: MARKET SIZE & FORECAST
22.12. SAUDI ARABIA: MARKET SIZE & FORECAST
22.13. SOUTH AFRICA: MARKET SIZE & FORECAST
22.14. TURKEY: MARKET SIZE & FORECAST
23. COMPETITIVE LANDSCAPE
23.1. COMPETITION OVERVIEW
23.2. RECENT DEVELOPMENTS
24. KEY COMPANY PROFILES
24.1. HONEYWELL INTERNATIONAL INC
24.1.1. BUSINESS OVERVIEW
24.1.2. PRODUCT OFFERINGS
24.1.3. KEY STRATEGIES
24.1.4. KEY STRENGTHS
24.1.5. KEY OPPORTUNITIES
24.2. ZEBRA TECHNOLOGIES CORPORATION
24.2.1. BUSINESS OVERVIEW
24.2.2. PRODUCT OFFERINGS
24.2.3. KEY STRATEGIES
24.2.4. KEY STRENGTHS
24.2.5. KEY OPPORTUNITIES
24.3. INTERNATIONAL BUSINESS MACHINE CORPORATION (IBM)
24.3.1. BUSINESS OVERVIEW
24.3.2. PRODUCT OFFERINGS
24.3.3. KEY STRATEGIES
24.3.4. KEY STRENGTHS
24.3.5. KEY OPPORTUNITIES
24.4. ORACLE
24.4.1. BUSINESS OVERVIEW
24.4.2. PRODUCT OFFERINGS
24.4.3. KEY STRATEGIES
24.4.4. KEY STRENGTHS
24.4.5. KEY OPPORTUNITIES
24.5. DAIFUKU CO. LTD.
24.5.1. BUSINESS OVERVIEW
24.5.2. PRODUCT OFFERINGS
24.5.3. KEY STRATEGIES
24.5.4. KEY STRENGTHS
24.5.5. KEY OPPORTUNITIES
25. OTHER PROMINENT VENDORS
25.1. ARMSTRONG
25.1.1. BUSINESS OVERVIEW
25.1.2. PRODUCT OFFERINGS
25.2. SMART WAREHOUSING
25.2.1. BUSINESS OVERVIEW
25.2.2. PRODUCT OFFERINGS
25.3. EASYECOM
25.3.1. BUSINESS OVERVIEW
25.3.2. PRODUCT OFFERINGS
25.4. EPICOR SOFTWARE CORPORATION
25.4.1. BUSINESS OVERVIEW
25.4.2. PRODUCT OFFERINGS
25.5. FOYSONIS
25.5.1. BUSINESS OVERVIEW
25.5.2. PRODUCT OFFERINGS
25.6. GENERIX GROUP
25.6.1. BUSINESS OVERVIEW
25.6.2. PRODUCT OFFERINGS
25.7. INCREFF
25.7.1. BUSINESS OVERVIEW
25.7.2. PRODUCT OFFERINGS
25.8. INFOR
25.8.1. BUSINESS OVERVIEW
25.8.2. PRODUCT OFFERINGS
25.9. KARDEX
25.9.1. BUSINESS OVERVIEW
25.9.2. PRODUCT OFFERINGS
25.10. KORBER AG.
25.10.1. BUSINESS OVERVIEW
25.10.2. PRODUCT OFFERINGS
25.11. LOCUS ROBOTICS
25.11.1. BUSINESS OVERVIEW
25.11.2. PRODUCT OFFERINGS
25.12. MANHATTAN ASSOCIATES
25.12.1. BUSINESS OVERVIEW
25.12.2. PRODUCT OFFERINGS
25.13. PTC
25.13.1. BUSINESS OVERVIEW
25.13.2. PRODUCT OFFERINGS
25.14. BLUE YONDER GROUP
25.14.1. BUSINESS OVERVIEW
25.14.2. PRODUCT OFFERINGS
25.15. SAP
25.15.1. BUSINESS OVERVIEW
25.15.2. PRODUCT OFFERINGS
25.16. XPO
25.16.1. BUSINESS OVERVIEW
25.16.2. PRODUCT OFFERINGS
25.17. SYNERGY LOGISTICS
25.17.1. BUSINESS OVERVIEW
25.17.2. PRODUCT OFFERINGS
25.18. OPEX CORPORATION
25.18.1. BUSINESS OVERVIEW
25.18.2. PRODUCT OFFERINGS
25.19. SIEMENS
25.19.1. BUSINESS OVERVIEW
25.19.2. PRODUCT OFFERINGS
25.20. LOGISTIX
25.20.1. BUSINESS OVERVIEW
25.20.2. PRODUCT OFFERINGS
26. REPORT SUMMARY
26.1. KEY TAKEAWAYS
26.2. STRATEGIC RECOMMENDATIONS
27. QUANTITATIVE SUMMARY
27.1. HISTORIC: MARKET BY GEOGRAPHY
27.2. MARKET BY GEOGRAPHY
28. NORTH AMERICA
28.1. COMPONENTS
28.1.1. HISTORIC: MARKET BY GEOGRAPHY
28.1.2. MARKET BY GEOGRAPHY
28.2. HARDWARE
28.2.1. HISTORIC: MARKET BY GEOGRAPHY
28.2.2. MARKET BY GEOGRAPHY
28.3. SOFTWARE
28.3.1. HISTORIC: MARKET BY GEOGRAPHY
28.3.2. MARKET BY GEOGRAPHY
28.4. TYPE
28.4.1. HISTORIC: MARKET BY GEOGRAPHY
28.4.2. MARKET BY GEOGRAPHY
28.5. DEPLOYMENT
28.5.1. HISTORIC: MARKET BY GEOGRAPHY
28.5.2. MARKET BY GEOGRAPHY
28.6. TECHNOLOGY
28.6.1. HISTORIC: MARKET BY GEOGRAPHY
28.6.2. MARKET BY GEOGRAPHY
28.7. APPLICATION
28.7.1. HISTORIC: MARKET BY GEOGRAPHY
28.7.2. MARKET BY GEOGRAPHY
28.8. END-USERS
28.8.1. HISTORIC: MARKET BY GEOGRAPHY
28.8.2. MARKET BY GEOGRAPHY
29. EUROPE
29.1. COMPONENTS
29.1.1. HISTORIC: MARKET BY GEOGRAPHY
29.1.2. MARKET BY GEOGRAPHY
29.2. HARDWARE
29.2.1. HISTORIC: MARKET BY GEOGRAPHY
29.2.2. MARKET BY GEOGRAPHY
29.3. SOFTWARE
29.3.1. HISTORIC: MARKET BY GEOGRAPHY
29.3.2. MARKET BY GEOGRAPHY
29.4. TYPE
29.4.1. HISTORIC: MARKET BY GEOGRAPHY
29.4.2. MARKET BY GEOGRAPHY
29.5. DEPLOYMENT
29.5.1. HISTORIC: MARKET BY GEOGRAPHY
29.5.2. MARKET BY GEOGRAPHY
29.6. TECHNOLOGY
29.6.1. HISTORIC: MARKET BY GEOGRAPHY
29.6.2. MARKET BY GEOGRAPHY
29.7. APPLICATION
29.7.1. HISTORIC: MARKET BY GEOGRAPHY
29.7.2. MARKET BY GEOGRAPHY
29.8. END-USERS
29.8.1. HISTORIC: MARKET BY GEOGRAPHY
29.8.2. MARKET BY GEOGRAPHY
30. APAC
30.1. COMPONENTS
30.1.1. HISTORIC: MARKET BY GEOGRAPHY
30.1.2. MARKET BY GEOGRAPHY
30.2. HARDWARE
30.2.1. HISTORIC: MARKET BY GEOGRAPHY
30.2.2. MARKET BY GEOGRAPHY
30.3. SOFTWARE
30.3.1. HISTORIC: MARKET BY GEOGRAPHY
30.3.2. MARKET BY GEOGRAPHY
30.4. TYPE
30.4.1. HISTORIC: MARKET BY GEOGRAPHY
30.4.2. MARKET BY GEOGRAPHY
30.5. DEPLOYMENT
30.5.1. HISTORIC: MARKET BY GEOGRAPHY
30.5.2. MARKET BY GEOGRAPHY
30.6. TECHNOLOGY
30.6.1. HISTORIC: MARKET BY GEOGRAPHY
30.6.2. MARKET BY GEOGRAPHY
30.7. APPLICATION
30.7.1. HISTORIC: MARKET BY GEOGRAPHY
30.7.2. MARKET BY GEOGRAPHY
30.8. END-USERS
30.8.1. HISTORIC: MARKET BY GEOGRAPHY
30.8.2. MARKET BY GEOGRAPHY
31. LATIN AMERICA
31.1. COMPONENTS
31.1.1. HISTORIC: MARKET BY GEOGRAPHY
31.1.2. MARKET BY GEOGRAPHY
31.2. HARDWARE
31.2.1. HISTORIC: MARKET BY GEOGRAPHY
31.2.2. MARKET BY GEOGRAPHY
31.3. SOFTWARE
31.3.1. HISTORIC: MARKET BY GEOGRAPHY
31.3.2. MARKET BY GEOGRAPHY
31.4. TYPE
31.4.1. HISTORIC: MARKET BY GEOGRAPHY
31.4.2. MARKET BY GEOGRAPHY
31.5. DEPLOYMENT
31.5.1. HISTORIC: MARKET BY GEOGRAPHY
31.5.2. MARKET BY GEOGRAPHY
31.6. TECHNOLOGY
31.6.1. HISTORIC: MARKET BY GEOGRAPHY
31.6.2. MARKET BY GEOGRAPHY
31.7. APPLICATION
31.7.1. HISTORIC: MARKET BY GEOGRAPHY
31.7.2. MARKET BY GEOGRAPHY
31.8. END-USERS
31.8.1. HISTORIC: MARKET BY GEOGRAPHY
31.8.2. MARKET BY GEOGRAPHY
32. MIDDLE EAST & AFRICA
32.1. COMPONENTS
32.1.1. HISTORIC: MARKET BY GEOGRAPHY
32.1.2. MARKET BY GEOGRAPHY
32.2. HARDWARE
32.2.1. HISTORIC: MARKET BY GEOGRAPHY
32.2.2. MARKET BY GEOGRAPHY
32.3. SOFTWARE
32.3.1. HISTORIC: MARKET BY GEOGRAPHY
32.3.2. MARKET BY GEOGRAPHY
32.4. TYPE
32.4.1. HISTORIC: MARKET BY GEOGRAPHY
32.4.2. MARKET BY GEOGRAPHY
32.5. DEPLOYMENT
32.5.1. HISTORIC: MARKET BY GEOGRAPHY
32.5.2. MARKET BY GEOGRAPHY
32.6. TECHNOLOGY
32.6.1. HISTORIC: MARKET BY GEOGRAPHY
32.6.2. MARKET BY GEOGRAPHY
32.7. APPLICATION
32.7.1. HISTORIC: MARKET BY GEOGRAPHY
32.7.2. MARKET BY GEOGRAPHY
32.8. END-USERS
32.8.1. HISTORIC: MARKET BY GEOGRAPHY
32.8.2. MARKET BY GEOGRAPHY
33. APPENDIX
33.1. RESEARCH METHODOLOGY
33.2. RESEARCH PROCESS
33.3. REPORT ASSUMPTIONS & CAVEATS
33.3.1. KEY CAVEATS
33.3.2. CURRENCY CONVERSION
33.4. ABBREVIATIONS

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