Automated Truck Loading System Market (ATLS) by Vehicle Type (Container Truck, Rigid Truck, Tractor Trailer), Payload Capacity (10-20 Tons, Above 20 Tons, Below 10 Tons), Automation Level, Installation Type, Application - Global Forecast 2025-2032
Description
The Automated Truck Loading System Market was valued at USD 2.53 billion in 2024 and is projected to grow to USD 2.83 billion in 2025, with a CAGR of 11.93%, reaching USD 6.25 billion by 2032.
Introduction to the evolving automated truck loading ecosystem where robotics, vision, and orchestration platforms are redefining dock operations and workforce dynamics
The automated truck loading system landscape is evolving rapidly as logistics operators seek to reduce manual handling, increase throughput, and mitigate labor constraints. Innovations in robotics, vision systems, and integrated controls are converging with digital orchestration platforms that coordinate loading sequences, safety interlocks, and warehouse management interfaces. This convergence is enabling more predictable dock operations and tighter synchronization between inbound vehicles and warehouse workflows, driving a shift from ad hoc loading to orchestrated, technology-mediated processes.
Across manufacturing hubs, distribution centers, and e-commerce fulfillment facilities, stakeholders are evaluating automated loading solutions not only for throughput improvements but for workforce safety, space optimization, and sustainability gains. With supply chain resilience under scrutiny, organizations are piloting automation to reduce dependency on temporary labor pools while maintaining flexibility to handle mix and seasonality. As system integrators refine modular architectures and OEMs adapt vehicle interfaces, adoption is becoming a more pragmatic, staged decision rather than an all-or-nothing investment.
How breakthroughs in AI perception, modular system design, and integration standards are catalyzing rapid change across loading operations and supply chain strategies
Several transformative forces are reshaping the competitive and operational contours of automated truck loading solutions. First, advances in machine perception and AI-driven path planning have improved the reliability and repeatability of robotic loading tasks, enabling safer interaction with diverse payloads and packaging formats. Second, standardized communication protocols and open APIs are facilitating tighter integration with warehouse management systems, fleet telematics, and enterprise resource planning tools, which reduces implementation friction and accelerates time-to-value.
Third, an increased focus on modularity has led suppliers to offer stacking capabilities, interchangeable end-effectors, and hybrid solutions that combine manual and automated steps for gradual adoption. Fourth, labor market pressures and regulatory emphasis on workplace safety are compelling organizations to prioritize automation as a risk mitigation and labor substitution strategy. Finally, sustainability targets and the need to optimize transport economics are driving investments in systems that maximize truck cube utilization and minimize idle times, which together elevate the strategic importance of loading automation within broader logistics transformation programs.
Navigating the 2025 tariff-driven procurement and supply chain shifts that have heightened supplier resilience priorities and accelerated nearshoring conversations across automation projects
Tariff developments in the United States during 2025 have created both operational and strategic headwinds for stakeholders in automated loading technologies. Changes in trade policy have increased landed costs for certain imported components used in robotic manipulators, vision sensors, and control electronics, prompting suppliers to reassess global sourcing strategies. As a result, some vendors have localized critical subassemblies or negotiated alternative supply routes to preserve cost competitiveness and delivery lead times.
In parallel, procurement teams are re-evaluating total cost of ownership frameworks to account for altered input prices and shifting lead times. These dynamics have sharpened the emphasis on supplier resilience, dual-sourcing options, and the modular substitution of components that may be sourced domestically. For buyers, the tariff environment has underscored the value of contractual terms that provide price protection and of piloting smaller deployments that can be scaled without exposing capital budgets to sudden cost escalation. Overall, trade policy changes in 2025 have accelerated nearshoring conversations and encouraged a more risk-aware approach to supplier selection and contract structuring.
Segmentation-driven insights that reveal divergent technology, design, and commercialization strategies across vehicle classes, payload bands, automation maturity, installation formats, and end-use verticals
Segment-level dynamics reveal differentiated adoption pathways and commercial considerations that influence solution design and go-to-market strategies. Based on Vehicle Type, market is studied across Container Truck, Rigid Truck, and Tractor Trailer, and this categorization highlights how vehicle geometry, door configurations, and floor heights dictate end-effector design and alignment systems for reliable loading cycles. Based on Payload Capacity, market is studied across 10-20 Tons, Above 20 Tons, and Below 10 Tons, which clarifies how weight handling and structural reinforcement vary between light, medium, and heavy payload operations and inform conveyor and lift specifications.
Based on Automation Level, market is studied across Fully Automated, Manual, and Semi Automated, framing an adoption continuum from complete robotic autonomy to human-in-the-loop augmentation that supports gradual investment. Based on Installation Type, market is studied across Portable and Stationary, underscoring the trade-offs between mobility for multi-site deployments and the performance advantages of fixed integrations into dock infrastructure. Based on Application, market is studied across Automotive, Chemicals, E-Commerce & Retail, and Food & Beverage. The Automotive is further studied across Aftermarket and OEM, illuminating divergent requirements for customization and retrofitability. The E-Commerce & Retail is further studied across B2B and B2C, which affects SKU diversity and throughput patterns. The Food & Beverage is further studied across Bakery, Dairy, and Meat, revealing distinct hygiene, temperature control, and sanitary design constraints that have direct implications for materials, cleaning regimes, and certification requirements.
Taken together, these segmentation lenses explain why system requirements and value propositions differ markedly between a high-throughput B2C e-commerce dock handling lightweight parcels and a refrigerated meat processing facility managing heavy, temperature-sensitive loads. They also clarify the routes to commercialization: modular semi-automated kits can lower barriers for smaller fleets or retrofit customers, while fully integrated stationary systems better serve high-throughput, repetitive workflows where optimization yields measurable operational gains.
Regional adoption dynamics and regulatory nuances that determine deployment priorities, service models, and product localization strategies across the Americas, EMEA, and Asia-Pacific
Regional dynamics shape investment priorities, regulatory considerations, and adoption velocity for automated truck loading solutions. In the Americas, customers tend to pursue aggressive automation to address labor shortages and to support omnichannel distribution models; the region’s focus on cross-border logistics and large-scale distribution centers also favors solutions that optimize trailer cube and reduce dwell time. In Europe, Middle East & Africa, regulatory frameworks and a strong emphasis on workplace safety drive stringent compliance requirements and create demand for systems certified to higher safety and interoperability standards. Fragmentation across national regulations in this region also encourages suppliers to offer flexible, modular solutions that can be adapted to local codes.
In Asia-Pacific, rapid e-commerce growth and the expansion of cold chain networks are major adoption drivers, with suppliers tailoring solutions for high-density, urban fulfillment centers as well as for industrial parks supporting manufacturing exports. Across all regions, connectivity and digital services are increasingly valued; buyers expect analytics, remote diagnostics, and lifecycle support to be part of the offering. Consequently, go-to-market strategies that combine local service capability with regional product roadmaps tend to be more successful in converting pilots into scaled deployments.
How alliances between integrators, robotics specialists, and software platform providers are reshaping competitive advantage and buyer evaluation criteria in automated loading solutions
Competitive dynamics are evolving as a mix of incumbent automation integrators, specialized robotics vendors, and new entrants compete to define reference deployments. Established integrators bring systems integration expertise, deep relationships with logistics operators, and the ability to deploy complex, multi-site programs. Specialized robotics vendors differentiate through superior perception algorithms, lightweight manipulators, and end-effectors engineered for specific payload forms. New entrants, often software-first companies, compete on orchestration platforms that promise rapid integration with existing warehouse execution systems and telematics.
Partnership models and alliances are increasingly important. Ecosystem plays that combine hardware, software, and services create defensible value propositions by bundling installation, training, and lifecycle support. Service capability, particularly preventative maintenance and rapid spare parts logistics, is a strategic differentiator because uptime is directly tied to the commercial value of loading automation. Vendor selection criteria have therefore shifted toward demonstrated reliability in live operations, clarity in integration roadmaps, and transparent lifecycle economics. For buyers, procurement teams are prioritizing proof-of-concept evidence, local support capabilities, and the vendor’s roadmap for software and hardware upgrades.
Actionable strategic steps for leaders to pilot, scale, and sustain automated loading deployments while managing supplier risk and workforce transformation
Industry leaders should pursue a pragmatic, staged approach to adoption, beginning with pilot programs that validate interoperability and operational impact under live conditions. Prioritize interfaces that enable the system to exchange data with warehouse management, fleet telematics, and safety systems to ensure the automation decision is embedded in broader operational control. Invest in modular solutions that can be incrementally expanded to align capital deployment with demonstrated throughput improvements and workforce transition plans.
Develop supplier risk frameworks that evaluate dual-sourcing options, component substitution pathways, and contractual protections that mitigate exposure to trade disruptions. Strengthen internal change management programs to upskill workforce segments that will supervise and maintain automation assets, and define clear safety protocols and certifications that meet regional regulatory requirements. Finally, consider strategic partnerships with software providers to access analytics and remote support services that optimize uptime and enable continuous improvement in loading cycles. These combined steps will help leaders extract measurable value while retaining flexibility to adapt to evolving operational demands.
A mixed-methods research framework combining primary interviews, field observations, and cross-validated secondary analysis to deliver operationally grounded insights
The research underpinning these insights combines qualitative and quantitative methods to create a robust picture of the automated truck loading landscape. Primary research included structured interviews and operational briefings with logistics operators, systems integrators, robotics vendors, and industry experts to capture real-world constraints, adoption drivers, and performance expectations. Field visits and site observations informed assessments of dock workflows, safety protocols, and integration touchpoints that are critical to successful deployments.
Secondary research synthesized industry reports, standards documentation, patent filings, and product datasheets to establish technology trajectories and supplier capabilities. Comparative analysis of solution architectures and case studies enabled the identification of best practices for installation, commissioning, and lifecycle support. Triangulation across multiple data sources and validation workshops with domain experts ensured that conclusions reflect operational realities and strategic imperatives rather than isolated vendor claims. Where possible, the methodology prioritized evidence from live deployments and operational KPIs to ground recommendations in practical outcomes.
Concluding synthesis showing how strategic, context-aware automation deployments convert technology maturity into sustained logistics performance improvements
Automated truck loading systems are transitioning from experimental pilots to operationally strategic capabilities that address throughput constraints, safety imperatives, and labor market variability. The technology stack is maturing, driven by improvements in perception, modular hardware, and orchestration software, which together reduce integration friction and expand applicability across vehicle types and payload classes. Adoption strategies that emphasize staged rollouts, data-driven validation, and supplier resilience tend to deliver the most consistent operational benefits.
Looking forward, successful deployments will be those that align solution design to specific application requirements-whether that means sanitary design for dairy and meat, high-mix handling for B2C e-commerce, or structural robustness for heavy payloads in automotive logistics. By combining disciplined pilot programs, contractual safeguards against supply disruption, and investments in local service capabilities, organizations can convert automation into lasting competitive advantage. The conclusion is clear: automation is not a one-size-fits-all solution, but when matched to operational context and executed with a risk-aware procurement strategy, it becomes a high-impact lever for logistics performance.
Please Note: PDF & Excel + Online Access - 1 Year
Introduction to the evolving automated truck loading ecosystem where robotics, vision, and orchestration platforms are redefining dock operations and workforce dynamics
The automated truck loading system landscape is evolving rapidly as logistics operators seek to reduce manual handling, increase throughput, and mitigate labor constraints. Innovations in robotics, vision systems, and integrated controls are converging with digital orchestration platforms that coordinate loading sequences, safety interlocks, and warehouse management interfaces. This convergence is enabling more predictable dock operations and tighter synchronization between inbound vehicles and warehouse workflows, driving a shift from ad hoc loading to orchestrated, technology-mediated processes.
Across manufacturing hubs, distribution centers, and e-commerce fulfillment facilities, stakeholders are evaluating automated loading solutions not only for throughput improvements but for workforce safety, space optimization, and sustainability gains. With supply chain resilience under scrutiny, organizations are piloting automation to reduce dependency on temporary labor pools while maintaining flexibility to handle mix and seasonality. As system integrators refine modular architectures and OEMs adapt vehicle interfaces, adoption is becoming a more pragmatic, staged decision rather than an all-or-nothing investment.
How breakthroughs in AI perception, modular system design, and integration standards are catalyzing rapid change across loading operations and supply chain strategies
Several transformative forces are reshaping the competitive and operational contours of automated truck loading solutions. First, advances in machine perception and AI-driven path planning have improved the reliability and repeatability of robotic loading tasks, enabling safer interaction with diverse payloads and packaging formats. Second, standardized communication protocols and open APIs are facilitating tighter integration with warehouse management systems, fleet telematics, and enterprise resource planning tools, which reduces implementation friction and accelerates time-to-value.
Third, an increased focus on modularity has led suppliers to offer stacking capabilities, interchangeable end-effectors, and hybrid solutions that combine manual and automated steps for gradual adoption. Fourth, labor market pressures and regulatory emphasis on workplace safety are compelling organizations to prioritize automation as a risk mitigation and labor substitution strategy. Finally, sustainability targets and the need to optimize transport economics are driving investments in systems that maximize truck cube utilization and minimize idle times, which together elevate the strategic importance of loading automation within broader logistics transformation programs.
Navigating the 2025 tariff-driven procurement and supply chain shifts that have heightened supplier resilience priorities and accelerated nearshoring conversations across automation projects
Tariff developments in the United States during 2025 have created both operational and strategic headwinds for stakeholders in automated loading technologies. Changes in trade policy have increased landed costs for certain imported components used in robotic manipulators, vision sensors, and control electronics, prompting suppliers to reassess global sourcing strategies. As a result, some vendors have localized critical subassemblies or negotiated alternative supply routes to preserve cost competitiveness and delivery lead times.
In parallel, procurement teams are re-evaluating total cost of ownership frameworks to account for altered input prices and shifting lead times. These dynamics have sharpened the emphasis on supplier resilience, dual-sourcing options, and the modular substitution of components that may be sourced domestically. For buyers, the tariff environment has underscored the value of contractual terms that provide price protection and of piloting smaller deployments that can be scaled without exposing capital budgets to sudden cost escalation. Overall, trade policy changes in 2025 have accelerated nearshoring conversations and encouraged a more risk-aware approach to supplier selection and contract structuring.
Segmentation-driven insights that reveal divergent technology, design, and commercialization strategies across vehicle classes, payload bands, automation maturity, installation formats, and end-use verticals
Segment-level dynamics reveal differentiated adoption pathways and commercial considerations that influence solution design and go-to-market strategies. Based on Vehicle Type, market is studied across Container Truck, Rigid Truck, and Tractor Trailer, and this categorization highlights how vehicle geometry, door configurations, and floor heights dictate end-effector design and alignment systems for reliable loading cycles. Based on Payload Capacity, market is studied across 10-20 Tons, Above 20 Tons, and Below 10 Tons, which clarifies how weight handling and structural reinforcement vary between light, medium, and heavy payload operations and inform conveyor and lift specifications.
Based on Automation Level, market is studied across Fully Automated, Manual, and Semi Automated, framing an adoption continuum from complete robotic autonomy to human-in-the-loop augmentation that supports gradual investment. Based on Installation Type, market is studied across Portable and Stationary, underscoring the trade-offs between mobility for multi-site deployments and the performance advantages of fixed integrations into dock infrastructure. Based on Application, market is studied across Automotive, Chemicals, E-Commerce & Retail, and Food & Beverage. The Automotive is further studied across Aftermarket and OEM, illuminating divergent requirements for customization and retrofitability. The E-Commerce & Retail is further studied across B2B and B2C, which affects SKU diversity and throughput patterns. The Food & Beverage is further studied across Bakery, Dairy, and Meat, revealing distinct hygiene, temperature control, and sanitary design constraints that have direct implications for materials, cleaning regimes, and certification requirements.
Taken together, these segmentation lenses explain why system requirements and value propositions differ markedly between a high-throughput B2C e-commerce dock handling lightweight parcels and a refrigerated meat processing facility managing heavy, temperature-sensitive loads. They also clarify the routes to commercialization: modular semi-automated kits can lower barriers for smaller fleets or retrofit customers, while fully integrated stationary systems better serve high-throughput, repetitive workflows where optimization yields measurable operational gains.
Regional adoption dynamics and regulatory nuances that determine deployment priorities, service models, and product localization strategies across the Americas, EMEA, and Asia-Pacific
Regional dynamics shape investment priorities, regulatory considerations, and adoption velocity for automated truck loading solutions. In the Americas, customers tend to pursue aggressive automation to address labor shortages and to support omnichannel distribution models; the region’s focus on cross-border logistics and large-scale distribution centers also favors solutions that optimize trailer cube and reduce dwell time. In Europe, Middle East & Africa, regulatory frameworks and a strong emphasis on workplace safety drive stringent compliance requirements and create demand for systems certified to higher safety and interoperability standards. Fragmentation across national regulations in this region also encourages suppliers to offer flexible, modular solutions that can be adapted to local codes.
In Asia-Pacific, rapid e-commerce growth and the expansion of cold chain networks are major adoption drivers, with suppliers tailoring solutions for high-density, urban fulfillment centers as well as for industrial parks supporting manufacturing exports. Across all regions, connectivity and digital services are increasingly valued; buyers expect analytics, remote diagnostics, and lifecycle support to be part of the offering. Consequently, go-to-market strategies that combine local service capability with regional product roadmaps tend to be more successful in converting pilots into scaled deployments.
How alliances between integrators, robotics specialists, and software platform providers are reshaping competitive advantage and buyer evaluation criteria in automated loading solutions
Competitive dynamics are evolving as a mix of incumbent automation integrators, specialized robotics vendors, and new entrants compete to define reference deployments. Established integrators bring systems integration expertise, deep relationships with logistics operators, and the ability to deploy complex, multi-site programs. Specialized robotics vendors differentiate through superior perception algorithms, lightweight manipulators, and end-effectors engineered for specific payload forms. New entrants, often software-first companies, compete on orchestration platforms that promise rapid integration with existing warehouse execution systems and telematics.
Partnership models and alliances are increasingly important. Ecosystem plays that combine hardware, software, and services create defensible value propositions by bundling installation, training, and lifecycle support. Service capability, particularly preventative maintenance and rapid spare parts logistics, is a strategic differentiator because uptime is directly tied to the commercial value of loading automation. Vendor selection criteria have therefore shifted toward demonstrated reliability in live operations, clarity in integration roadmaps, and transparent lifecycle economics. For buyers, procurement teams are prioritizing proof-of-concept evidence, local support capabilities, and the vendor’s roadmap for software and hardware upgrades.
Actionable strategic steps for leaders to pilot, scale, and sustain automated loading deployments while managing supplier risk and workforce transformation
Industry leaders should pursue a pragmatic, staged approach to adoption, beginning with pilot programs that validate interoperability and operational impact under live conditions. Prioritize interfaces that enable the system to exchange data with warehouse management, fleet telematics, and safety systems to ensure the automation decision is embedded in broader operational control. Invest in modular solutions that can be incrementally expanded to align capital deployment with demonstrated throughput improvements and workforce transition plans.
Develop supplier risk frameworks that evaluate dual-sourcing options, component substitution pathways, and contractual protections that mitigate exposure to trade disruptions. Strengthen internal change management programs to upskill workforce segments that will supervise and maintain automation assets, and define clear safety protocols and certifications that meet regional regulatory requirements. Finally, consider strategic partnerships with software providers to access analytics and remote support services that optimize uptime and enable continuous improvement in loading cycles. These combined steps will help leaders extract measurable value while retaining flexibility to adapt to evolving operational demands.
A mixed-methods research framework combining primary interviews, field observations, and cross-validated secondary analysis to deliver operationally grounded insights
The research underpinning these insights combines qualitative and quantitative methods to create a robust picture of the automated truck loading landscape. Primary research included structured interviews and operational briefings with logistics operators, systems integrators, robotics vendors, and industry experts to capture real-world constraints, adoption drivers, and performance expectations. Field visits and site observations informed assessments of dock workflows, safety protocols, and integration touchpoints that are critical to successful deployments.
Secondary research synthesized industry reports, standards documentation, patent filings, and product datasheets to establish technology trajectories and supplier capabilities. Comparative analysis of solution architectures and case studies enabled the identification of best practices for installation, commissioning, and lifecycle support. Triangulation across multiple data sources and validation workshops with domain experts ensured that conclusions reflect operational realities and strategic imperatives rather than isolated vendor claims. Where possible, the methodology prioritized evidence from live deployments and operational KPIs to ground recommendations in practical outcomes.
Concluding synthesis showing how strategic, context-aware automation deployments convert technology maturity into sustained logistics performance improvements
Automated truck loading systems are transitioning from experimental pilots to operationally strategic capabilities that address throughput constraints, safety imperatives, and labor market variability. The technology stack is maturing, driven by improvements in perception, modular hardware, and orchestration software, which together reduce integration friction and expand applicability across vehicle types and payload classes. Adoption strategies that emphasize staged rollouts, data-driven validation, and supplier resilience tend to deliver the most consistent operational benefits.
Looking forward, successful deployments will be those that align solution design to specific application requirements-whether that means sanitary design for dairy and meat, high-mix handling for B2C e-commerce, or structural robustness for heavy payloads in automotive logistics. By combining disciplined pilot programs, contractual safeguards against supply disruption, and investments in local service capabilities, organizations can convert automation into lasting competitive advantage. The conclusion is clear: automation is not a one-size-fits-all solution, but when matched to operational context and executed with a risk-aware procurement strategy, it becomes a high-impact lever for logistics performance.
Please Note: PDF & Excel + Online Access - 1 Year
Table of Contents
186 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Integration of AI-driven vision systems for real-time load positioning optimization
- 5.2. Development of modular robotic gripper attachments for handling diverse freight types
- 5.3. Adoption of predictive maintenance solutions powered by IoT sensors to minimize downtime
- 5.4. Emergence of cloud-based control platforms enabling remote monitoring and analytics
- 5.5. Implementation of collaborative palletizing robots working alongside human operators
- 5.6. Expansion of autonomous yard management integrating AGVs with automatic loading functions
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Automated Truck Loading System Market, by Vehicle Type
- 8.1. Container Truck
- 8.2. Rigid Truck
- 8.3. Tractor Trailer
- 9. Automated Truck Loading System Market, by Payload Capacity
- 9.1. 10-20 Tons
- 9.2. Above 20 Tons
- 9.3. Below 10 Tons
- 10. Automated Truck Loading System Market, by Automation Level
- 10.1. Fully Automated
- 10.2. Manual
- 10.3. Semi Automated
- 11. Automated Truck Loading System Market, by Installation Type
- 11.1. Portable
- 11.2. Stationary
- 12. Automated Truck Loading System Market, by Application
- 12.1. Automotive
- 12.1.1. Aftermarket
- 12.1.2. Oem
- 12.2. Chemicals
- 12.3. E-Commerce & Retail
- 12.3.1. B2B
- 12.3.2. B2C
- 12.4. Food & Beverage
- 12.4.1. Bakery
- 12.4.2. Dairy
- 12.4.3. Meat
- 13. Automated Truck Loading System Market, by Region
- 13.1. Americas
- 13.1.1. North America
- 13.1.2. Latin America
- 13.2. Europe, Middle East & Africa
- 13.2.1. Europe
- 13.2.2. Middle East
- 13.2.3. Africa
- 13.3. Asia-Pacific
- 14. Automated Truck Loading System Market, by Group
- 14.1. ASEAN
- 14.2. GCC
- 14.3. European Union
- 14.4. BRICS
- 14.5. G7
- 14.6. NATO
- 15. Automated Truck Loading System Market, by Country
- 15.1. United States
- 15.2. Canada
- 15.3. Mexico
- 15.4. Brazil
- 15.5. United Kingdom
- 15.6. Germany
- 15.7. France
- 15.8. Russia
- 15.9. Italy
- 15.10. Spain
- 15.11. China
- 15.12. India
- 15.13. Japan
- 15.14. Australia
- 15.15. South Korea
- 16. Competitive Landscape
- 16.1. Market Share Analysis, 2024
- 16.2. FPNV Positioning Matrix, 2024
- 16.3. Competitive Analysis
- 16.3.1. Blue Star Engineering & Electronics Ltd.
- 16.3.2. Alligator Automations
- 16.3.3. Joloda Hydraroll Limited
- 16.3.4. Wipro Enterprises (P) Ltd.
- 16.3.5. Atmos Systems
- 16.3.6. Bastian Solutions, LLC
- 16.3.7. Europa Systems sp. z o.o.
- 16.3.8. WDX Inc.
- 16.3.9. Damon Australia
- 16.3.10. Integrated Systems Design
- 16.3.11. Daifuku Co., Ltd.
- 16.3.12. Dematic GmbH & Co. KG (KION Group)
- 16.3.13. Vanderlande Industries B.V.
- 16.3.14. SSI Schaefer GmbH
- 16.3.15. Honeywell International Inc. (Honeywell Intelligrated)
- 16.3.16. Bastian Solutions LLC
- 16.3.17. Murata Machinery, Ltd.
- 16.3.18. TGW Logistics Group GmbH & Co. KG
- 16.3.19. Interroll Holding AG
- 16.3.20. Fives Group
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