Logistics Automation Market by Component (Automated System, Automation Software, Services), Logistics Type (Inbound Logistics, Outbound Logistics, Reverse Logistics), Technology, Operation Mode, Deployment Mode, Application, End-User Industry - Global For
Description
The Logistics Automation Market was valued at USD 36.62 billion in 2024 and is projected to grow to USD 39.93 billion in 2025, with a CAGR of 9.48%, reaching USD 75.63 billion by 2032.
Navigating the Next Frontier in Logistics Automation by Harnessing Cutting-Edge Technologies to Drive Operational Resilience and Efficiency Gains
Logistics automation is rapidly reshaping global supply chains by integrating advanced technologies that streamline processes and enhance operational visibility. From autonomous vehicles navigating vast warehouses to intelligent software optimizing inventory management, the convergence of automation systems, software solutions, and specialized services is forging a new logistics paradigm. This transformation is not merely about mechanizing traditional tasks; it represents a holistic shift toward interconnected, data-driven operations that anticipate demand fluctuations and respond in real time.
In recent years, organizations have prioritized resilience and efficiency, spurred by disruptions that exposed vulnerabilities in manual and semi-automated workflows. Investments in automated guided vehicles, robotic arms, and automated storage and retrieval systems reflect a growing recognition that agility is fundamental to competitive advantage. Equally, the adoption of supply chain management, transportation management, and warehouse management software underscores the critical role of intelligent decision support. Moreover, consulting, maintenance, and system integration services are proving indispensable for aligning technology deployment with strategic objectives and ensuring continuous performance enhancement.
Unveiling the Transformative Shifts in Logistics Automation Fueled by Digital Connectivity Predictive Intelligence and Scalable Deployment
The logistics landscape is experiencing transformative shifts as digital platforms and advanced analytics redefine the boundaries of possibility. Internet of Things devices and RFID scanning enable real-time tracking of goods across inbound, outbound, and reverse logistics streams, fostering transparency and reducing the risk of loss or misplacement. Concurrently, machine learning and artificial intelligence are powering predictive models that anticipate shipment delays and optimize routing before disruptions arise.
These developments are complemented by the rise of robotic process automation, which accelerates order picking and packaging processes with precision and consistency. Organizations are increasingly transitioning to fully automated operations, yet semi-automated configurations remain vital for facilities that balance human expertise with robotic capabilities. As on-cloud deployments proliferate alongside on-premises systems, the ability to tailor technology integration to specific operational needs has become a distinguishing factor. Consequently, logistics leaders are redefining traditional workflows to harness the full potential of converging innovations.
Assessing the Cumulative Impact of Recent United States Tariffs on Logistics Operations and Strategic Network Adaptability
In 2025, the logistics sector navigates the reverberations of new tariff structures across the United States, prompting a strategic reevaluation of cross-border movement and cost management. Heightened duties have influenced the selection of transportation routes and modes, compelling shippers to seek more efficient transit corridors and consider nearshoring opportunities to mitigate expense escalations. As businesses contend with evolving import levies, warehousing locations have gained renewed significance in balancing cost, speed, and regulatory compliance.
These tariff dynamics have accelerated investments in infrastructure that supports adaptive logistics models, including flexible storage facilities and modular automation solutions. Companies are leveraging advanced robotics and software-driven allocation engines to dynamically adjust inventory distribution and minimize tariff exposure. This emerging approach underscores the importance of agility, as supply chain networks must accommodate sudden policy changes while preserving service levels and controlling overhead costs. As a result, enterprises are forging strategic partnerships and embracing technology platforms that enable responsive supply chain orchestration under shifting regulatory conditions.
Uncovering Deep Segmentation Insights Revealing the Interconnected Dimensions Shaping Logistics Automation Strategies
Insight into market segmentation reveals the multifaceted nature of logistics automation. Examining components highlights the interplay between automated systems such as guided vehicles, storage retrieval setups, conveyors, drones, and robotic arms, alongside software modules that coordinate supply chain, transportation, and warehouse functions, and services that include consulting, maintenance, and system integration. By dissecting logistics types, stakeholders gain clarity on inbound receipt processes, outbound distribution frameworks, and the growing significance of reverse logistics in sustainability initiatives.
Technological stratification deepens the analysis, showing how IoT connectivity, machine learning, RFID scanning, and robotic process automation converge to refine operations. The operational mode dimension contrasts fully automated facilities, which deliver end-to-end process autonomy, with semi-automated environments that integrate human oversight. Deployment preferences further distinguish on-cloud scalability from on-premises control, while application areas span goods receiving, inventory management, order picking, packaging, route optimization, and fleet coordination. Finally, industry verticals from automotive and food and beverage to healthcare, manufacturing, metal and machinery, and retail and e-commerce highlight diverse end-user demands that shape tailored automation strategies.
Exploring Key Regional Dynamics That Influence Technology Adoption Patterns and Infrastructure Investments in Logistics Automation
Regional nuances play a critical role in charting the trajectory of logistics automation adoption. In the Americas, investment in advanced warehousing solutions aligns with e-commerce growth and digital infrastructure expansion. Companies are prioritizing the integration of machine learning for demand forecasting and advanced robotics for high-throughput order fulfillment.
Across Europe, the Middle East, and Africa, regulatory frameworks and sustainability imperatives drive the deployment of energy-efficient automated systems, with RFID and IoT technologies enabling carbon tracking across complex trade routes. In Asia-Pacific, high-volume manufacturing hubs and dynamic consumer markets are fueling demand for modular automation architectures, on-cloud software platforms, and semi-autonomous robotics that can adapt to diverse operational scales. Each region’s unique blend of economic priorities, infrastructure maturity, and labor dynamics informs its path toward comprehensive logistics modernization.
Analyzing Market Leaders Strategies for Delivering Integrated Automation Solutions and Sustaining Competitive Advantages
Competitive positioning within the logistics automation market is shaped by leading innovators that offer integrated hardware, software, and service ecosystems. Top-tier players differentiate through strategic partnerships that enhance system interoperability and through ongoing R&D investments that push the boundaries of robotic dexterity and predictive analytics.
Companies with robust global support networks and localized expertise excel in deploying complex automation solutions across varied regulatory landscapes. Their ability to deliver end-to-end project management, from initial consulting and system design to maintenance and iterative software updates, accelerates time to value for end users. As competition intensifies, alliances between technology providers and industry specialists are becoming more prevalent, fostering co-innovation that addresses specific vertical requirements and unlocks new use cases.
Delivering Actionable Recommendations for Industry Leaders to Orchestrate Phased Automation Journeys and Maximize Operational Outcomes
Industry leaders can drive transformation by adopting a phased automation roadmap that begins with diagnostic assessments and pilot implementations before scaling to full operational integration. Early alignment between technology goals and business objectives ensures that investments in IoT sensors, analytics platforms, and robotics yield measurable efficiency gains and ROI improvements.
Moreover, collaboration with system integrators and adoption of open architecture software frameworks enable seamless interoperability across legacy and new automation assets. Prioritizing workforce upskilling programs helps organizations maintain a balance between automated processes and human expertise. Finally, embracing a continuous improvement mindset through data-driven performance reviews, feedback loops, and iterative optimization will sustain long-term competitiveness in an evolving landscape.
Outlining a Rigorous Research Methodology Integrating Primary Interviews and Comprehensive Secondary Analysis for Proven Insights
Our research methodology combines primary and secondary data collection to achieve comprehensive market insights. Primary inputs derive from interviews with supply chain executives, technology vendors, and automation service providers, enriching the analysis with firsthand perspectives on implementation challenges and strategic priorities.
Secondary research includes a review of industry publications, regulatory reports, patent filings, and technology whitepapers to validate trends and technological advancements. Data triangulation techniques ensure that findings are cross-verified, while a structured framework for segment analysis-covering component, logistics type, technology, operation mode, deployment mode, application, and end-user industry-supports a rigorous evaluation of market dynamics.
Concluding Reflections on Harnessing Automation Innovations to Build Resilient and Scalable Supply Chain Architectures
Logistics automation stands at a pivotal juncture, with innovation cycles accelerating and competitive pressures mounting. The integration of robotics, AI-driven software, and strategic services is redefining traditional supply chain architectures and enabling organizations to achieve unprecedented levels of agility, visibility, and cost reduction.
As regional dynamics and tariff landscapes continue to evolve, businesses that embrace a segmented, data-centric approach to technology adoption will be best positioned to navigate uncertainty. By leveraging the detailed segmentation insights, regional profiles, and competitive analyses presented herein, decision makers can chart a path toward resilient, scalable, and future-ready logistics operations.
Market Segmentation & Coverage
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-segmentations:
Component
Automated System
Automated Guided Vehicles
Automated Storage & Retrieval Systems (AS/RS)
Conveyors & Sortation Systems
Drones
Robotic Arms
Automation Software
Supply Chain Management Software
Transportation Management Software
Warehouse Management Software
Services
Consulting Services
Maintenance Services
System Integration Services
Logistics Type
Inbound Logistics
Outbound Logistics
Reverse Logistics
Technology
Internet of Things
Machine Learning & Artificial Intelligence
RFID & Barcode Scanning
Robotics Process Automation
Operation Mode
Fully Automated
Semi-Automated
Deployment Mode
On Cloud
On-Premises
Application
Goods Receiving and Dispatching
Inventory & Storage Management
Order Picking & Packaging
Route Optimization & Fleet Management
End-User Industry
Automotive
Food & Beverage
Healthcare & Pharmaceutical
Manufacturing
Metal & Machinery
Retail & E-commerce
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-regions:
Americas
North America
United States
Canada
Mexico
Latin America
Brazil
Argentina
Chile
Colombia
Peru
Europe, Middle East & Africa
Europe
United Kingdom
Germany
France
Russia
Italy
Spain
Netherlands
Sweden
Poland
Switzerland
Middle East
United Arab Emirates
Saudi Arabia
Qatar
Turkey
Israel
Africa
South Africa
Nigeria
Egypt
Kenya
Asia-Pacific
China
India
Japan
Australia
South Korea
Indonesia
Thailand
Malaysia
Singapore
Taiwan
This research report categorizes to delves into recent significant developments and analyze trends in each of the following companies:
ABB Ltd
BEUMER Group GmbH & Co. KG
Daifuku Co., Ltd.
Falcon Autotech Pvt Ltd. by Delhivery Limited
Fanuc Corporation
FRAMOS GmBH
Hitachi, Ltd.
Honeywell International Inc.
Intel Corporation
Jungheinrich AG
Kion Group AG
KNAPP AG
KUKA AG
MECALUX, S.A.
Murata Manufacturing Co., Ltd.
Omron Corporation
Rockwell Automation Inc.
SAP SE
Schneider Electric SE
SSI SCHÄFER GmbH & Co KG
System Logistics S.p.A.
TGW LOGISTICS GROUP GMBH
Toshiba Corporation
Toyota Industries Corporation
Ubiquicom S.r.l. by ZAPI GROUP
ULMA Handling Systems
Please Note: PDF & Excel + Online Access - 1 Year
Navigating the Next Frontier in Logistics Automation by Harnessing Cutting-Edge Technologies to Drive Operational Resilience and Efficiency Gains
Logistics automation is rapidly reshaping global supply chains by integrating advanced technologies that streamline processes and enhance operational visibility. From autonomous vehicles navigating vast warehouses to intelligent software optimizing inventory management, the convergence of automation systems, software solutions, and specialized services is forging a new logistics paradigm. This transformation is not merely about mechanizing traditional tasks; it represents a holistic shift toward interconnected, data-driven operations that anticipate demand fluctuations and respond in real time.
In recent years, organizations have prioritized resilience and efficiency, spurred by disruptions that exposed vulnerabilities in manual and semi-automated workflows. Investments in automated guided vehicles, robotic arms, and automated storage and retrieval systems reflect a growing recognition that agility is fundamental to competitive advantage. Equally, the adoption of supply chain management, transportation management, and warehouse management software underscores the critical role of intelligent decision support. Moreover, consulting, maintenance, and system integration services are proving indispensable for aligning technology deployment with strategic objectives and ensuring continuous performance enhancement.
Unveiling the Transformative Shifts in Logistics Automation Fueled by Digital Connectivity Predictive Intelligence and Scalable Deployment
The logistics landscape is experiencing transformative shifts as digital platforms and advanced analytics redefine the boundaries of possibility. Internet of Things devices and RFID scanning enable real-time tracking of goods across inbound, outbound, and reverse logistics streams, fostering transparency and reducing the risk of loss or misplacement. Concurrently, machine learning and artificial intelligence are powering predictive models that anticipate shipment delays and optimize routing before disruptions arise.
These developments are complemented by the rise of robotic process automation, which accelerates order picking and packaging processes with precision and consistency. Organizations are increasingly transitioning to fully automated operations, yet semi-automated configurations remain vital for facilities that balance human expertise with robotic capabilities. As on-cloud deployments proliferate alongside on-premises systems, the ability to tailor technology integration to specific operational needs has become a distinguishing factor. Consequently, logistics leaders are redefining traditional workflows to harness the full potential of converging innovations.
Assessing the Cumulative Impact of Recent United States Tariffs on Logistics Operations and Strategic Network Adaptability
In 2025, the logistics sector navigates the reverberations of new tariff structures across the United States, prompting a strategic reevaluation of cross-border movement and cost management. Heightened duties have influenced the selection of transportation routes and modes, compelling shippers to seek more efficient transit corridors and consider nearshoring opportunities to mitigate expense escalations. As businesses contend with evolving import levies, warehousing locations have gained renewed significance in balancing cost, speed, and regulatory compliance.
These tariff dynamics have accelerated investments in infrastructure that supports adaptive logistics models, including flexible storage facilities and modular automation solutions. Companies are leveraging advanced robotics and software-driven allocation engines to dynamically adjust inventory distribution and minimize tariff exposure. This emerging approach underscores the importance of agility, as supply chain networks must accommodate sudden policy changes while preserving service levels and controlling overhead costs. As a result, enterprises are forging strategic partnerships and embracing technology platforms that enable responsive supply chain orchestration under shifting regulatory conditions.
Uncovering Deep Segmentation Insights Revealing the Interconnected Dimensions Shaping Logistics Automation Strategies
Insight into market segmentation reveals the multifaceted nature of logistics automation. Examining components highlights the interplay between automated systems such as guided vehicles, storage retrieval setups, conveyors, drones, and robotic arms, alongside software modules that coordinate supply chain, transportation, and warehouse functions, and services that include consulting, maintenance, and system integration. By dissecting logistics types, stakeholders gain clarity on inbound receipt processes, outbound distribution frameworks, and the growing significance of reverse logistics in sustainability initiatives.
Technological stratification deepens the analysis, showing how IoT connectivity, machine learning, RFID scanning, and robotic process automation converge to refine operations. The operational mode dimension contrasts fully automated facilities, which deliver end-to-end process autonomy, with semi-automated environments that integrate human oversight. Deployment preferences further distinguish on-cloud scalability from on-premises control, while application areas span goods receiving, inventory management, order picking, packaging, route optimization, and fleet coordination. Finally, industry verticals from automotive and food and beverage to healthcare, manufacturing, metal and machinery, and retail and e-commerce highlight diverse end-user demands that shape tailored automation strategies.
Exploring Key Regional Dynamics That Influence Technology Adoption Patterns and Infrastructure Investments in Logistics Automation
Regional nuances play a critical role in charting the trajectory of logistics automation adoption. In the Americas, investment in advanced warehousing solutions aligns with e-commerce growth and digital infrastructure expansion. Companies are prioritizing the integration of machine learning for demand forecasting and advanced robotics for high-throughput order fulfillment.
Across Europe, the Middle East, and Africa, regulatory frameworks and sustainability imperatives drive the deployment of energy-efficient automated systems, with RFID and IoT technologies enabling carbon tracking across complex trade routes. In Asia-Pacific, high-volume manufacturing hubs and dynamic consumer markets are fueling demand for modular automation architectures, on-cloud software platforms, and semi-autonomous robotics that can adapt to diverse operational scales. Each region’s unique blend of economic priorities, infrastructure maturity, and labor dynamics informs its path toward comprehensive logistics modernization.
Analyzing Market Leaders Strategies for Delivering Integrated Automation Solutions and Sustaining Competitive Advantages
Competitive positioning within the logistics automation market is shaped by leading innovators that offer integrated hardware, software, and service ecosystems. Top-tier players differentiate through strategic partnerships that enhance system interoperability and through ongoing R&D investments that push the boundaries of robotic dexterity and predictive analytics.
Companies with robust global support networks and localized expertise excel in deploying complex automation solutions across varied regulatory landscapes. Their ability to deliver end-to-end project management, from initial consulting and system design to maintenance and iterative software updates, accelerates time to value for end users. As competition intensifies, alliances between technology providers and industry specialists are becoming more prevalent, fostering co-innovation that addresses specific vertical requirements and unlocks new use cases.
Delivering Actionable Recommendations for Industry Leaders to Orchestrate Phased Automation Journeys and Maximize Operational Outcomes
Industry leaders can drive transformation by adopting a phased automation roadmap that begins with diagnostic assessments and pilot implementations before scaling to full operational integration. Early alignment between technology goals and business objectives ensures that investments in IoT sensors, analytics platforms, and robotics yield measurable efficiency gains and ROI improvements.
Moreover, collaboration with system integrators and adoption of open architecture software frameworks enable seamless interoperability across legacy and new automation assets. Prioritizing workforce upskilling programs helps organizations maintain a balance between automated processes and human expertise. Finally, embracing a continuous improvement mindset through data-driven performance reviews, feedback loops, and iterative optimization will sustain long-term competitiveness in an evolving landscape.
Outlining a Rigorous Research Methodology Integrating Primary Interviews and Comprehensive Secondary Analysis for Proven Insights
Our research methodology combines primary and secondary data collection to achieve comprehensive market insights. Primary inputs derive from interviews with supply chain executives, technology vendors, and automation service providers, enriching the analysis with firsthand perspectives on implementation challenges and strategic priorities.
Secondary research includes a review of industry publications, regulatory reports, patent filings, and technology whitepapers to validate trends and technological advancements. Data triangulation techniques ensure that findings are cross-verified, while a structured framework for segment analysis-covering component, logistics type, technology, operation mode, deployment mode, application, and end-user industry-supports a rigorous evaluation of market dynamics.
Concluding Reflections on Harnessing Automation Innovations to Build Resilient and Scalable Supply Chain Architectures
Logistics automation stands at a pivotal juncture, with innovation cycles accelerating and competitive pressures mounting. The integration of robotics, AI-driven software, and strategic services is redefining traditional supply chain architectures and enabling organizations to achieve unprecedented levels of agility, visibility, and cost reduction.
As regional dynamics and tariff landscapes continue to evolve, businesses that embrace a segmented, data-centric approach to technology adoption will be best positioned to navigate uncertainty. By leveraging the detailed segmentation insights, regional profiles, and competitive analyses presented herein, decision makers can chart a path toward resilient, scalable, and future-ready logistics operations.
Market Segmentation & Coverage
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-segmentations:
Component
Automated System
Automated Guided Vehicles
Automated Storage & Retrieval Systems (AS/RS)
Conveyors & Sortation Systems
Drones
Robotic Arms
Automation Software
Supply Chain Management Software
Transportation Management Software
Warehouse Management Software
Services
Consulting Services
Maintenance Services
System Integration Services
Logistics Type
Inbound Logistics
Outbound Logistics
Reverse Logistics
Technology
Internet of Things
Machine Learning & Artificial Intelligence
RFID & Barcode Scanning
Robotics Process Automation
Operation Mode
Fully Automated
Semi-Automated
Deployment Mode
On Cloud
On-Premises
Application
Goods Receiving and Dispatching
Inventory & Storage Management
Order Picking & Packaging
Route Optimization & Fleet Management
End-User Industry
Automotive
Food & Beverage
Healthcare & Pharmaceutical
Manufacturing
Metal & Machinery
Retail & E-commerce
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-regions:
Americas
North America
United States
Canada
Mexico
Latin America
Brazil
Argentina
Chile
Colombia
Peru
Europe, Middle East & Africa
Europe
United Kingdom
Germany
France
Russia
Italy
Spain
Netherlands
Sweden
Poland
Switzerland
Middle East
United Arab Emirates
Saudi Arabia
Qatar
Turkey
Israel
Africa
South Africa
Nigeria
Egypt
Kenya
Asia-Pacific
China
India
Japan
Australia
South Korea
Indonesia
Thailand
Malaysia
Singapore
Taiwan
This research report categorizes to delves into recent significant developments and analyze trends in each of the following companies:
ABB Ltd
BEUMER Group GmbH & Co. KG
Daifuku Co., Ltd.
Falcon Autotech Pvt Ltd. by Delhivery Limited
Fanuc Corporation
FRAMOS GmBH
Hitachi, Ltd.
Honeywell International Inc.
Intel Corporation
Jungheinrich AG
Kion Group AG
KNAPP AG
KUKA AG
MECALUX, S.A.
Murata Manufacturing Co., Ltd.
Omron Corporation
Rockwell Automation Inc.
SAP SE
Schneider Electric SE
SSI SCHÄFER GmbH & Co KG
System Logistics S.p.A.
TGW LOGISTICS GROUP GMBH
Toshiba Corporation
Toyota Industries Corporation
Ubiquicom S.r.l. by ZAPI GROUP
ULMA Handling Systems
Please Note: PDF & Excel + Online Access - 1 Year
Table of Contents
195 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency & Pricing
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Integration of autonomous mobile robots with warehouse management systems for dynamic order picking
- 5.2. Deployment of AI-powered predictive maintenance platforms for robotic material handling equipment
- 5.3. Adoption of blockchain-enabled supply chain visibility solutions for end-to-end shipment tracking
- 5.4. Implementation of digital twin technology for real-time simulation and optimization of logistics networks
- 5.5. Use of collaborative robots equipped with vision systems for flexible packaging and sorting operations
- 5.6. Development of 5G-connected smart forklifts for low-latency communication in high-density warehouse environments
- 5.7. Application of AI-driven demand forecasting algorithms to optimize inventory placement in automated distribution centers
- 5.8. Incorporation of sustainable electrified last-mile delivery fleets integrated with automated dispatch platforms
- 5.9. Utilization of edge computing architectures to process logistics automation data and reduce network latency
- 5.10. Integration of autonomous drone fleets for rapid inventory audits and aerial asset monitoring in large warehouses
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Logistics Automation Market, by Component
- 8.1. Automated System
- 8.1.1. Automated Guided Vehicles
- 8.1.2. Automated Storage & Retrieval Systems (AS/RS)
- 8.1.3. Conveyors & Sortation Systems
- 8.1.4. Drones
- 8.1.5. Robotic Arms
- 8.2. Automation Software
- 8.2.1. Supply Chain Management Software
- 8.2.2. Transportation Management Software
- 8.2.3. Warehouse Management Software
- 8.3. Services
- 8.3.1. Consulting Services
- 8.3.2. Maintenance Services
- 8.3.3. System Integration Services
- 9. Logistics Automation Market, by Logistics Type
- 9.1. Inbound Logistics
- 9.2. Outbound Logistics
- 9.3. Reverse Logistics
- 10. Logistics Automation Market, by Technology
- 10.1. Internet of Things
- 10.2. Machine Learning & Artificial Intelligence
- 10.3. RFID & Barcode Scanning
- 10.4. Robotics Process Automation
- 11. Logistics Automation Market, by Operation Mode
- 11.1. Fully Automated
- 11.2. Semi-Automated
- 12. Logistics Automation Market, by Deployment Mode
- 12.1. On Cloud
- 12.2. On-Premises
- 13. Logistics Automation Market, by Application
- 13.1. Goods Receiving and Dispatching
- 13.2. Inventory & Storage Management
- 13.3. Order Picking & Packaging
- 13.4. Route Optimization & Fleet Management
- 14. Logistics Automation Market, by End-User Industry
- 14.1. Automotive
- 14.2. Food & Beverage
- 14.3. Healthcare & Pharmaceutical
- 14.4. Manufacturing
- 14.5. Metal & Machinery
- 14.6. Retail & E-commerce
- 15. Logistics Automation Market, by Region
- 15.1. Americas
- 15.1.1. North America
- 15.1.2. Latin America
- 15.2. Europe, Middle East & Africa
- 15.2.1. Europe
- 15.2.2. Middle East
- 15.2.3. Africa
- 15.3. Asia-Pacific
- 16. Logistics Automation Market, by Group
- 16.1. ASEAN
- 16.2. GCC
- 16.3. European Union
- 16.4. BRICS
- 16.5. G7
- 16.6. NATO
- 17. Logistics Automation Market, by Country
- 17.1. United States
- 17.2. Canada
- 17.3. Mexico
- 17.4. Brazil
- 17.5. United Kingdom
- 17.6. Germany
- 17.7. France
- 17.8. Russia
- 17.9. Italy
- 17.10. Spain
- 17.11. China
- 17.12. India
- 17.13. Japan
- 17.14. Australia
- 17.15. South Korea
- 18. Competitive Landscape
- 18.1. Market Share Analysis, 2024
- 18.2. FPNV Positioning Matrix, 2024
- 18.3. Competitive Analysis
- 18.3.1. ABB Ltd
- 18.3.2. BEUMER Group GmbH & Co. KG
- 18.3.3. Daifuku Co., Ltd.
- 18.3.4. Falcon Autotech Pvt Ltd. by Delhivery Limited
- 18.3.5. Fanuc Corporation
- 18.3.6. FRAMOS GmBH
- 18.3.7. Hitachi, Ltd.
- 18.3.8. Honeywell International Inc.
- 18.3.9. Intel Corporation
- 18.3.10. Jungheinrich AG
- 18.3.11. Kion Group AG
- 18.3.12. KNAPP AG
- 18.3.13. KUKA AG
- 18.3.14. MECALUX, S.A.
- 18.3.15. Murata Manufacturing Co., Ltd.
- 18.3.16. Omron Corporation
- 18.3.17. Rockwell Automation Inc.
- 18.3.18. SAP SE
- 18.3.19. Schneider Electric SE
- 18.3.20. SSI SCHÄFER GmbH & Co KG
- 18.3.21. System Logistics S.p.A.
- 18.3.22. TGW LOGISTICS GROUP GMBH
- 18.3.23. Toshiba Corporation
- 18.3.24. Toyota Industries Corporation
- 18.3.25. Ubiquicom S.r.l. by ZAPI GROUP
- 18.3.26. ULMA Handling Systems
Pricing
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