Food Automation Market by Component (Hardware, Software), Application (Packaging, Processing, Quality Inspection), End User - Global Forecast 2025-2032
Description
The Food Automation Market was valued at USD 31.88 billion in 2024 and is projected to grow to USD 34.76 billion in 2025, with a CAGR of 9.01%, reaching USD 63.59 billion by 2032.
A concise orientation to how integrated mechanical, sensing, and software technologies are redefining food production workflows and operational priorities
This executive summary presents a focused synthesis of how automation technologies are reshaping food industry operations across design, production, and inspection workflows. The food automation landscape now blends mechanical systems, advanced sensing, and software intelligence to address labor constraints, hygiene requirements, and the need for consistent product quality. Rapid advancements in robotics, machine vision, and AI-driven control systems create new opportunities for operators to reduce variability, improve throughput, and enforce traceability along complex supply chains.
As organizations evaluate modernization, decision-makers confront trade-offs between capital intensity, integration complexity, and operational resilience. Consequently, the strategic narrative has shifted from isolated automation projects to scalable, interoperable architectures that prioritize modular hardware components and flexible software stacks. This summary frames that transition and highlights the practical levers that organizations can pull to align investment with operational objectives while navigating regulatory and trade headwinds.
An analysis of cascading industry forces and technology advances that are driving rapid reconfiguration of food processing, packaging, and inspection infrastructures
The past several years have produced a mosaic of transformative shifts that now define the competitive terrain for food automation. Advances in pick-and-place robotics, compact vision systems, and edge AI have substantially broadened the set of tasks that automation can reliably perform, moving beyond repetitive loading to include delicate handling, adaptive sorting, and inline quality decisions. At the same time, manufacturers increasingly demand systems that can be reconfigured without prolonged downtime, which has elevated the importance of modular conveyors, interoperable control systems, and standardized communication protocols.
Moreover, sustainability and labor availability have reoriented investment criteria. Organizations now prioritize energy-efficient drives, reduced waste through more accurate portioning, and automation solutions that help manage workforce shortages by removing repetitive, hazardous tasks. As a result, suppliers emphasize total cost of ownership and serviceability as much as headline throughput figures. Consequently, the landscape favors solution providers who combine robust hardware with analytics-driven software that delivers continuous performance feedback and supports incremental improvements.
A rigorous examination of how recent United States tariff measures have reshaped procurement choices, supplier strategies, and design localization across automation supply chains
Recent tariff developments implemented by the United States in 2025 have created a notable ripple effect across procurement strategies, supply chain design, and supplier negotiations for automation equipment and components. Import levies on certain categories of machinery and electronic components have encouraged some buyers to reassess sourcing geographies and to seek local or regional suppliers that can mitigate additional cost exposure. Consequently, procurement teams now incorporate tariff risk as a recurring input in supplier selection and long-term capital planning.
Furthermore, the tariffs have accelerated conversations around design localization and component substitution. Engineering teams are exploring alternatives that maintain performance while reducing reliance on affected imports, which has increased the emphasis on modular system architectures that allow phased hardware upgrades. At the same time, financing and procurement models have adapted; firms are more actively pursuing leasing, performance-based contracts, and strategic partnerships that shift some of the import-driven cost variability to suppliers. In sum, the tariff environment has reinforced the importance of supply chain agility, robust contract terms, and diversified sourcing to sustain modernization efforts without compromising project timelines.
A detailed segmentation-driven perspective describing how component choices, software capabilities, and application needs intersect to shape implementation strategies across diverse end users
Understanding market dynamics requires a clear view of how different components and applications combine to form practical solutions. At the component level, hardware and software form the foundational layers of automation systems. Hardware encompasses conveyance systems and robotic manipulators as well as sensing and vision assemblies; conveyors can take the form of belt-based, chain-driven, or roller configurations, each selected according to product geometry and sanitary requirements. Robotic arms vary between articulated designs that offer broad reach and payload flexibility, delta robots that excel at high-speed pick-and-place, and SCARA architectures that deliver compact, precise horizontal motion. Complementing these mechanical elements, sensors and vision systems provide the environmental and product data that enable automated decision-making. Software components include artificial intelligence models that interpret sensory inputs, analytics platforms that aggregate operational metrics and reveal improvement opportunities, and control systems that orchestrate real-time motion, safety, and integration with enterprise systems.
Applications span the core activities of food operations, including packaging, processing, quality inspection, and sorting, each presenting distinct technical and hygiene constraints. Processing covers sub-activities such as cooking, cutting, and mixing, where thermal management, sanitary design, and recipe repeatability are paramount. Quality inspection relies on high-resolution vision and intelligent analytics to detect defects, measure fill levels, and ensure label compliance. Sorting and packaging solutions must coordinate speed with gentle handling to preserve product integrity while meeting throughput targets. Finally, end users encompass a range of operational profiles, from bakeries that require agile, small-footprint solutions to dairy facilities and large food processing plants that demand continuous, heavy-duty systems, as well as quick-service restaurants that emphasize compact automation for point-of-service acceleration. This segmentation illustrates how component choices, software capabilities, and application requirements interlock to determine the optimal automation strategy for a given operational context.
A comparative regional analysis revealing how geographic priorities, regulatory regimes, and supply chain capabilities determine adoption pathways and supplier strategies across global markets
Regional trends influence adoption patterns, supplier landscapes, and integration strategies in distinct ways. In the Americas, investments often prioritize capacity expansion and process robustness, with particular attention to labor displacement mitigation and regulatory compliance. Suppliers in this region focus on turnkey installations and aftermarket service offerings that reduce downtime and align with aggressive delivery schedules. Meanwhile, Europe, Middle East & Africa exhibits a strong orientation toward sustainability, hygiene standards, and energy efficiency. Buyers in these geographies increasingly favor solutions that support traceability, reduced water and energy usage, and compliance with strict food safety regulations. Consequently, system design emphasizes sanitary materials, easy-to-clean configurations, and energy-optimized drives.
Across Asia-Pacific, a blend of high-volume manufacturing, rapidly evolving retail formats, and diverse regulatory regimes creates a fertile environment for both custom and modular automation solutions. Demand here often centers on flexible systems that can address both artisanal food producers and large-scale processors, prompting suppliers to offer a wide spectrum of scalable configurations. Additionally, regional manufacturing capacity and component ecosystems influence sourcing decisions and create opportunities for localized supply chain partnerships. Taken together, these geographic distinctions shape the types of solutions that gain traction and the business models that suppliers deploy to serve local market needs.
An insightful assessment of supplier differentiation rooted in mechanical reliability, systems integration expertise, and software-enabled service models that maximize uptime and value
The competitive landscape is populated by engineering-focused equipment manufacturers, specialized robotics integrators, and software innovators that bridge the gap between mechanical systems and enterprise operations. Leading hardware vendors differentiate through robust mechanical design, hygienic materials, and field-proven reliability, while integrators add value via systems engineering, validation protocols, and lifecycle service agreements that minimize operational risk. Software players contribute analytic layers, predictive maintenance capabilities, and closed-loop control logic that extract performance gains from installed hardware.
Strategic partnerships and cross-disciplinary collaborations increasingly define successful offerings. Companies that combine deep domain knowledge in food processing with advanced control software and remote monitoring services deliver more compelling value propositions. In addition, service models that offer training, rapid spare parts fulfillment, and remote diagnostics strengthen customer relationships and improve uptime. As customers demand turnkey outcomes rather than discrete components, the ability to provide end-to-end solutions that seamlessly integrate mechanical, sensing, and software elements becomes a key differentiator in the marketplace.
Actionable strategic directives for operators to deploy modular automation, build resilient supply chains, and elevate workforce capabilities while accelerating operational ROI
Industry leaders should adopt a phased, modular approach to automation that balances near-term operational wins with longer-term scalability. Begin by identifying high-variability or high-touch processes where automation can immediately reduce labor risk and quality inconsistencies, then prioritize modular conveyor and robotic architectures that permit incremental expansion. Integrate intelligent sensing and analytics from the outset to establish baseline KPIs and enable targeted performance improvements over time. This approach reduces implementation risk while providing tangible proof points that justify further investment.
Additionally, cultivate supply chain resilience by diversifying component sources and negotiating contract terms that account for tariff volatility and lead-time fluctuations. Form collaborative relationships with solution providers that offer flexible financing or performance-based agreements to align incentives. Invest in workforce transition programs that retrain staff for higher-value roles such as systems supervision, preventive maintenance, and continuous improvement so that human capital grows in step with automation maturity. Finally, embed sustainability objectives into automation projects to capitalize on energy and waste reductions that also support regulatory compliance and brand differentiation.
A transparent explanation of the mixed-methods research approach combining practitioner interviews, technical assessments, and secondary engineering literature to ensure robust insights
This report synthesizes primary interviews with industry practitioners, secondary literature from engineering and trade publications, and technical evaluations of automation platforms and control architectures. Interview subjects included plant managers, process engineers, procurement leaders, and systems integrators who provided direct insights into current deployment challenges, integration preferences, and service expectations. Secondary materials encompassed manufacturer whitepapers, specifications for conveyors and robotic platforms, and regulatory guidance on food safety and equipment sanitation.
Analytical methods blended qualitative thematic analysis with comparative technical assessment. Thematic analysis identified recurring operational priorities and pain points, while technical assessment evaluated trade-offs among hardware topologies, sensing modalities, and software capabilities. Throughout, findings were triangulated across multiple sources to enhance reliability and to surface actionable recommendations that reflect both engineering constraints and commercial realities. Limitations include variability in facility-scale requirements and the evolving nature of software-driven capabilities that may rapidly change integration patterns over short time horizons.
A forward-looking synthesis emphasizing modularity, interoperability, and supplier partnerships as the pillars of successful automation adoption and long-term operational resilience
In conclusion, automation in the food sector is maturing from point solutions to cohesive ecosystems where mechanical components, sensing hardware, and intelligent software collaborate to deliver consistent quality, operational resilience, and enhanced traceability. The confluence of technological advances, shifting procurement strategies in response to trade dynamics, and evolving regional priorities has created a landscape that rewards modularity, interoperability, and supplier relationships focused on outcomes rather than one-off sales. Organizations that prioritize flexible architectures, resilient sourcing, and workforce transformation will extract the most value from automation investments.
Looking ahead, the trajectory points toward tighter integration between analytics and control systems, greater use of localized manufacturing to mitigate trade risk, and expanded service offerings that convert equipment sales into long-term performance partnerships. Consequently, decision-makers should treat current projects as stepping stones to broader digital and mechanical modernization initiatives that deliver measurable gains in efficiency, safety, and sustainability.
Please Note: PDF & Excel + Online Access - 1 Year
A concise orientation to how integrated mechanical, sensing, and software technologies are redefining food production workflows and operational priorities
This executive summary presents a focused synthesis of how automation technologies are reshaping food industry operations across design, production, and inspection workflows. The food automation landscape now blends mechanical systems, advanced sensing, and software intelligence to address labor constraints, hygiene requirements, and the need for consistent product quality. Rapid advancements in robotics, machine vision, and AI-driven control systems create new opportunities for operators to reduce variability, improve throughput, and enforce traceability along complex supply chains.
As organizations evaluate modernization, decision-makers confront trade-offs between capital intensity, integration complexity, and operational resilience. Consequently, the strategic narrative has shifted from isolated automation projects to scalable, interoperable architectures that prioritize modular hardware components and flexible software stacks. This summary frames that transition and highlights the practical levers that organizations can pull to align investment with operational objectives while navigating regulatory and trade headwinds.
An analysis of cascading industry forces and technology advances that are driving rapid reconfiguration of food processing, packaging, and inspection infrastructures
The past several years have produced a mosaic of transformative shifts that now define the competitive terrain for food automation. Advances in pick-and-place robotics, compact vision systems, and edge AI have substantially broadened the set of tasks that automation can reliably perform, moving beyond repetitive loading to include delicate handling, adaptive sorting, and inline quality decisions. At the same time, manufacturers increasingly demand systems that can be reconfigured without prolonged downtime, which has elevated the importance of modular conveyors, interoperable control systems, and standardized communication protocols.
Moreover, sustainability and labor availability have reoriented investment criteria. Organizations now prioritize energy-efficient drives, reduced waste through more accurate portioning, and automation solutions that help manage workforce shortages by removing repetitive, hazardous tasks. As a result, suppliers emphasize total cost of ownership and serviceability as much as headline throughput figures. Consequently, the landscape favors solution providers who combine robust hardware with analytics-driven software that delivers continuous performance feedback and supports incremental improvements.
A rigorous examination of how recent United States tariff measures have reshaped procurement choices, supplier strategies, and design localization across automation supply chains
Recent tariff developments implemented by the United States in 2025 have created a notable ripple effect across procurement strategies, supply chain design, and supplier negotiations for automation equipment and components. Import levies on certain categories of machinery and electronic components have encouraged some buyers to reassess sourcing geographies and to seek local or regional suppliers that can mitigate additional cost exposure. Consequently, procurement teams now incorporate tariff risk as a recurring input in supplier selection and long-term capital planning.
Furthermore, the tariffs have accelerated conversations around design localization and component substitution. Engineering teams are exploring alternatives that maintain performance while reducing reliance on affected imports, which has increased the emphasis on modular system architectures that allow phased hardware upgrades. At the same time, financing and procurement models have adapted; firms are more actively pursuing leasing, performance-based contracts, and strategic partnerships that shift some of the import-driven cost variability to suppliers. In sum, the tariff environment has reinforced the importance of supply chain agility, robust contract terms, and diversified sourcing to sustain modernization efforts without compromising project timelines.
A detailed segmentation-driven perspective describing how component choices, software capabilities, and application needs intersect to shape implementation strategies across diverse end users
Understanding market dynamics requires a clear view of how different components and applications combine to form practical solutions. At the component level, hardware and software form the foundational layers of automation systems. Hardware encompasses conveyance systems and robotic manipulators as well as sensing and vision assemblies; conveyors can take the form of belt-based, chain-driven, or roller configurations, each selected according to product geometry and sanitary requirements. Robotic arms vary between articulated designs that offer broad reach and payload flexibility, delta robots that excel at high-speed pick-and-place, and SCARA architectures that deliver compact, precise horizontal motion. Complementing these mechanical elements, sensors and vision systems provide the environmental and product data that enable automated decision-making. Software components include artificial intelligence models that interpret sensory inputs, analytics platforms that aggregate operational metrics and reveal improvement opportunities, and control systems that orchestrate real-time motion, safety, and integration with enterprise systems.
Applications span the core activities of food operations, including packaging, processing, quality inspection, and sorting, each presenting distinct technical and hygiene constraints. Processing covers sub-activities such as cooking, cutting, and mixing, where thermal management, sanitary design, and recipe repeatability are paramount. Quality inspection relies on high-resolution vision and intelligent analytics to detect defects, measure fill levels, and ensure label compliance. Sorting and packaging solutions must coordinate speed with gentle handling to preserve product integrity while meeting throughput targets. Finally, end users encompass a range of operational profiles, from bakeries that require agile, small-footprint solutions to dairy facilities and large food processing plants that demand continuous, heavy-duty systems, as well as quick-service restaurants that emphasize compact automation for point-of-service acceleration. This segmentation illustrates how component choices, software capabilities, and application requirements interlock to determine the optimal automation strategy for a given operational context.
A comparative regional analysis revealing how geographic priorities, regulatory regimes, and supply chain capabilities determine adoption pathways and supplier strategies across global markets
Regional trends influence adoption patterns, supplier landscapes, and integration strategies in distinct ways. In the Americas, investments often prioritize capacity expansion and process robustness, with particular attention to labor displacement mitigation and regulatory compliance. Suppliers in this region focus on turnkey installations and aftermarket service offerings that reduce downtime and align with aggressive delivery schedules. Meanwhile, Europe, Middle East & Africa exhibits a strong orientation toward sustainability, hygiene standards, and energy efficiency. Buyers in these geographies increasingly favor solutions that support traceability, reduced water and energy usage, and compliance with strict food safety regulations. Consequently, system design emphasizes sanitary materials, easy-to-clean configurations, and energy-optimized drives.
Across Asia-Pacific, a blend of high-volume manufacturing, rapidly evolving retail formats, and diverse regulatory regimes creates a fertile environment for both custom and modular automation solutions. Demand here often centers on flexible systems that can address both artisanal food producers and large-scale processors, prompting suppliers to offer a wide spectrum of scalable configurations. Additionally, regional manufacturing capacity and component ecosystems influence sourcing decisions and create opportunities for localized supply chain partnerships. Taken together, these geographic distinctions shape the types of solutions that gain traction and the business models that suppliers deploy to serve local market needs.
An insightful assessment of supplier differentiation rooted in mechanical reliability, systems integration expertise, and software-enabled service models that maximize uptime and value
The competitive landscape is populated by engineering-focused equipment manufacturers, specialized robotics integrators, and software innovators that bridge the gap between mechanical systems and enterprise operations. Leading hardware vendors differentiate through robust mechanical design, hygienic materials, and field-proven reliability, while integrators add value via systems engineering, validation protocols, and lifecycle service agreements that minimize operational risk. Software players contribute analytic layers, predictive maintenance capabilities, and closed-loop control logic that extract performance gains from installed hardware.
Strategic partnerships and cross-disciplinary collaborations increasingly define successful offerings. Companies that combine deep domain knowledge in food processing with advanced control software and remote monitoring services deliver more compelling value propositions. In addition, service models that offer training, rapid spare parts fulfillment, and remote diagnostics strengthen customer relationships and improve uptime. As customers demand turnkey outcomes rather than discrete components, the ability to provide end-to-end solutions that seamlessly integrate mechanical, sensing, and software elements becomes a key differentiator in the marketplace.
Actionable strategic directives for operators to deploy modular automation, build resilient supply chains, and elevate workforce capabilities while accelerating operational ROI
Industry leaders should adopt a phased, modular approach to automation that balances near-term operational wins with longer-term scalability. Begin by identifying high-variability or high-touch processes where automation can immediately reduce labor risk and quality inconsistencies, then prioritize modular conveyor and robotic architectures that permit incremental expansion. Integrate intelligent sensing and analytics from the outset to establish baseline KPIs and enable targeted performance improvements over time. This approach reduces implementation risk while providing tangible proof points that justify further investment.
Additionally, cultivate supply chain resilience by diversifying component sources and negotiating contract terms that account for tariff volatility and lead-time fluctuations. Form collaborative relationships with solution providers that offer flexible financing or performance-based agreements to align incentives. Invest in workforce transition programs that retrain staff for higher-value roles such as systems supervision, preventive maintenance, and continuous improvement so that human capital grows in step with automation maturity. Finally, embed sustainability objectives into automation projects to capitalize on energy and waste reductions that also support regulatory compliance and brand differentiation.
A transparent explanation of the mixed-methods research approach combining practitioner interviews, technical assessments, and secondary engineering literature to ensure robust insights
This report synthesizes primary interviews with industry practitioners, secondary literature from engineering and trade publications, and technical evaluations of automation platforms and control architectures. Interview subjects included plant managers, process engineers, procurement leaders, and systems integrators who provided direct insights into current deployment challenges, integration preferences, and service expectations. Secondary materials encompassed manufacturer whitepapers, specifications for conveyors and robotic platforms, and regulatory guidance on food safety and equipment sanitation.
Analytical methods blended qualitative thematic analysis with comparative technical assessment. Thematic analysis identified recurring operational priorities and pain points, while technical assessment evaluated trade-offs among hardware topologies, sensing modalities, and software capabilities. Throughout, findings were triangulated across multiple sources to enhance reliability and to surface actionable recommendations that reflect both engineering constraints and commercial realities. Limitations include variability in facility-scale requirements and the evolving nature of software-driven capabilities that may rapidly change integration patterns over short time horizons.
A forward-looking synthesis emphasizing modularity, interoperability, and supplier partnerships as the pillars of successful automation adoption and long-term operational resilience
In conclusion, automation in the food sector is maturing from point solutions to cohesive ecosystems where mechanical components, sensing hardware, and intelligent software collaborate to deliver consistent quality, operational resilience, and enhanced traceability. The confluence of technological advances, shifting procurement strategies in response to trade dynamics, and evolving regional priorities has created a landscape that rewards modularity, interoperability, and supplier relationships focused on outcomes rather than one-off sales. Organizations that prioritize flexible architectures, resilient sourcing, and workforce transformation will extract the most value from automation investments.
Looking ahead, the trajectory points toward tighter integration between analytics and control systems, greater use of localized manufacturing to mitigate trade risk, and expanded service offerings that convert equipment sales into long-term performance partnerships. Consequently, decision-makers should treat current projects as stepping stones to broader digital and mechanical modernization initiatives that deliver measurable gains in efficiency, safety, and sustainability.
Please Note: PDF & Excel + Online Access - 1 Year
Table of Contents
198 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 artificial intelligence and robotics in automated kitchen workflows to reduce labor costs
- 5.2. Implementation of real-time quality inspection systems using computer vision in food processing lines
- 5.3. Adoption of autonomous delivery robots and drones for last-mile food distribution in urban markets
- 5.4. Deployment of predictive maintenance solutions based on IoT sensors to minimize equipment downtime
- 5.5. Development of plant-based processing automation for high-throughput alternative protein manufacturing
- 5.6. Utilization of cloud-based software platforms for remote monitoring and control of food production facilities
- 5.7. Advances in collaborative robots designed for safe human-robot interaction in food packaging operations
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Food Automation Market, by Component
- 8.1. Hardware
- 8.1.1. Conveyors
- 8.1.1.1. Belt Conveyors
- 8.1.1.2. Chain Conveyors
- 8.1.1.3. Roller Conveyors
- 8.1.2. Robotic Arms
- 8.1.2.1. Articulated Robots
- 8.1.2.2. Delta Robots
- 8.1.2.3. SCARA Robots
- 8.1.3. Sensors
- 8.1.4. Vision Systems
- 8.2. Software
- 8.2.1. AI Software
- 8.2.2. Analytics Platforms
- 8.2.3. Control Systems
- 9. Food Automation Market, by Application
- 9.1. Packaging
- 9.2. Processing
- 9.2.1. Cooking
- 9.2.2. Cutting
- 9.2.3. Mixing
- 9.3. Quality Inspection
- 9.4. Sorting
- 10. Food Automation Market, by End User
- 10.1. Bakeries
- 10.2. Dairy Facilities
- 10.3. Food Processing Plants
- 10.4. Quick-Service Restaurants
- 11. Food Automation Market, by Region
- 11.1. Americas
- 11.1.1. North America
- 11.1.2. Latin America
- 11.2. Europe, Middle East & Africa
- 11.2.1. Europe
- 11.2.2. Middle East
- 11.2.3. Africa
- 11.3. Asia-Pacific
- 12. Food Automation Market, by Group
- 12.1. ASEAN
- 12.2. GCC
- 12.3. European Union
- 12.4. BRICS
- 12.5. G7
- 12.6. NATO
- 13. Food Automation Market, by Country
- 13.1. United States
- 13.2. Canada
- 13.3. Mexico
- 13.4. Brazil
- 13.5. United Kingdom
- 13.6. Germany
- 13.7. France
- 13.8. Russia
- 13.9. Italy
- 13.10. Spain
- 13.11. China
- 13.12. India
- 13.13. Japan
- 13.14. Australia
- 13.15. South Korea
- 14. Competitive Landscape
- 14.1. Market Share Analysis, 2024
- 14.2. FPNV Positioning Matrix, 2024
- 14.3. Competitive Analysis
- 14.3.1. ABB Ltd.
- 14.3.2. AMETEK Inc.
- 14.3.3. DESTACO, A Dover Company
- 14.3.4. Emerson Electric Co.
- 14.3.5. Falcon Autotech Pvt Ltd.
- 14.3.6. Fanuc Corporation
- 14.3.7. Festo Inc.
- 14.3.8. Fortive Corporation
- 14.3.9. GEA Group Aktiengesellschaft
- 14.3.10. JLS Automation
- 14.3.11. Kuka AG
- 14.3.12. MAYEKAWA MFG. CO., LTD.
- 14.3.13. Mitsubishi Electric Corporation
- 14.3.14. Neologic Engineers Private Limited
- 14.3.15. Regal Rexnord Corporation
- 14.3.16. Rockwell Automation, Inc.
- 14.3.17. Schneider Electric
- 14.3.18. Omron Electronics, LLC
- 14.3.19. John Bean Technologies
- 14.3.20. Heat and Control, Inc.
- 14.3.21. SPX FLOW, Inc.
- 14.3.22. Food Automation Pty. Ltd.
- 14.3.23. YASKAWA Electric Corporation
- 14.3.24. NORD Drivesystems Private Limited
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