2025 Market Report: Pick-and-Pack Robotics for Cold Chain Logistics—Trends, Forecasts, and Strategic Insights for the Next 5 Years

• Executive Summary & Market Overview
• Key Technology Trends in Pick-and-Pack Robotics for Cold Chain Logistics
• Competitive Landscape and Leading Players
• Market Growth Forecasts and Revenue Projections (2025–2030)
• Regional Analysis: Adoption and Investment Hotspots
• Challenges, Risks, and Opportunities in Cold Chain Robotics
• Future Outlook: Innovations and Strategic Recommendations
• Sources & References

Executive Summary & Market Overview

The pick-and-pack robotics market for cold chain logistics is experiencing rapid growth, driven by the increasing demand for automation in temperature-sensitive supply chains. Cold chain logistics, which ensures the safe transport and storage of perishable goods such as pharmaceuticals, food, and biologics, faces unique challenges including strict temperature control, labor shortages, and the need for high operational efficiency. Pick-and-pack robotics—automated systems that select, sort, and package products—are emerging as a transformative solution to these challenges.

In 2025, the global market for pick-and-pack robotics in cold chain logistics is projected to reach new heights, with estimates suggesting a compound annual growth rate (CAGR) of over 12% from 2023 to 2028, according to MarketsandMarkets. This growth is fueled by the expansion of e-commerce in grocery and pharmaceutical sectors, rising consumer expectations for fast and reliable delivery, and the ongoing need to reduce human error and contamination risks in cold environments.

Key industry players such as ABB, FANUC, and KUKA are investing heavily in robotics solutions tailored for cold storage facilities. These systems are designed to operate efficiently at sub-zero temperatures, handle a wide variety of packaging formats, and integrate seamlessly with warehouse management systems. The adoption of advanced technologies such as machine vision, artificial intelligence, and IoT connectivity further enhances the precision and adaptability of these robots, enabling real-time inventory tracking and dynamic order fulfillment.

Regionally, North America and Europe are leading the adoption of pick-and-pack robotics in cold chain logistics, driven by stringent regulatory requirements and a mature logistics infrastructure. However, Asia-Pacific is expected to witness the fastest growth, propelled by the expansion of organized retail, increasing investments in cold storage capacity, and the rapid digitalization of supply chains (Grand View Research).

Despite the promising outlook, challenges remain, including high upfront costs, integration complexities, and the need for specialized maintenance in cold environments. Nevertheless, as technology advances and economies of scale are realized, pick-and-pack robotics are poised to become a cornerstone of efficient, resilient, and scalable cold chain logistics by 2025 and beyond.

Key Technology Trends in Pick-and-Pack Robotics for Cold Chain Logistics

The landscape of pick-and-pack robotics for cold chain logistics is rapidly evolving, driven by the need for greater efficiency, accuracy, and compliance with stringent temperature requirements. In 2025, several key technology trends are shaping the deployment and capabilities of robotic systems in this sector.

• Advanced Sensing and Vision Systems: Robotics in cold chain environments are increasingly equipped with sophisticated vision systems, including 3D cameras and AI-powered image recognition. These technologies enable precise identification and handling of diverse SKUs, even in low-light or frosty conditions, reducing error rates and improving throughput. Companies like ABB and FANUC are integrating these systems to enhance robotic dexterity and adaptability.
• AI-Driven Path Optimization: Artificial intelligence is being leveraged to optimize pick paths and packing sequences in real time, accounting for temperature sensitivity, product fragility, and order priority. This not only minimizes dwell time in temperature-critical zones but also maximizes energy efficiency. KUKA and Siemens are at the forefront of deploying AI algorithms for dynamic workflow management in cold storage facilities.
• Robust Materials and Design: Robotics designed for cold chain logistics now feature materials and components that withstand sub-zero temperatures and high humidity. Sealed actuators, insulated electronics, and anti-condensation coatings are becoming standard, ensuring reliability and longevity. Dematic and Daifuku have introduced models specifically engineered for harsh cold storage environments.
• Integration with IoT and Warehouse Management Systems (WMS): Seamless integration with IoT sensors and WMS platforms allows real-time monitoring of product temperatures, robotic performance, and inventory levels. This connectivity supports proactive maintenance and compliance with food safety regulations. Zebra Technologies and Blue Yonder are leading providers of such integrated solutions.
• Collaborative and Mobile Robotics: The adoption of autonomous mobile robots (AMRs) and collaborative robots (cobots) is accelerating, enabling flexible, scalable operations. These robots can safely work alongside human operators, adapt to changing layouts, and handle a variety of packaging formats, as demonstrated by Locus Robotics and 6 River Systems.

These technology trends are collectively driving higher productivity, lower operational costs, and improved compliance in cold chain logistics, positioning robotics as a critical enabler of resilient and responsive supply chains in 2025.

Competitive Landscape and Leading Players

The competitive landscape for pick-and-pack robotics in cold chain logistics is rapidly evolving, driven by the increasing demand for automation in temperature-sensitive supply chains. As of 2025, the market is characterized by a mix of established robotics manufacturers, specialized cold chain solution providers, and innovative startups. Key players are focusing on enhancing robotic dexterity, reliability in sub-zero environments, and seamless integration with warehouse management systems.

Among the leading companies, ABB and FANUC have leveraged their extensive experience in industrial robotics to develop solutions tailored for cold storage environments. These companies offer robotic arms and automated guided vehicles (AGVs) with specialized insulation and heating elements to ensure consistent performance in low temperatures. KUKA has also made significant strides, introducing modular pick-and-pack systems that can be rapidly deployed in refrigerated and frozen warehouses.

Specialized providers such as Dematic and Daifuku are integrating advanced vision systems and AI-driven software to optimize picking accuracy and speed, even when handling products with strict temperature requirements. These companies are increasingly partnering with cold chain logistics firms to deliver end-to-end automation solutions, from receiving to outbound shipping.

Startups are playing a disruptive role by introducing novel technologies. For example, Boston Dynamics has piloted mobile robots capable of operating in sub-zero environments, while Locus Robotics is expanding its fleet of collaborative robots (cobots) to support high-throughput picking in cold storage facilities. These entrants are attracting significant venture capital, reflecting strong investor confidence in the sector’s growth potential.

Strategic collaborations and acquisitions are shaping the competitive dynamics. In 2024, ABB announced a partnership with Lineage Logistics, a global cold storage leader, to co-develop next-generation robotic picking solutions. Similarly, Dematic acquired a niche cold chain automation startup to bolster its technology portfolio.

Overall, the competitive landscape in 2025 is marked by rapid innovation, with leading players investing heavily in R&D to address the unique challenges of cold chain logistics. The market is expected to see further consolidation as established firms seek to expand their capabilities and startups continue to push the boundaries of robotic automation.

Market Growth Forecasts and Revenue Projections (2025–2030)

The market for pick-and-pack robotics in cold chain logistics is poised for robust growth in 2025, driven by the increasing demand for automation in temperature-sensitive supply chains. According to projections by Gartner, the global cold chain logistics market is expected to surpass $400 billion in value by 2025, with automation technologies—particularly robotics—accounting for a growing share of capital investments. Within this context, pick-and-pack robotics are forecasted to experience a compound annual growth rate (CAGR) of approximately 18% from 2025 through 2030, as reported by International Data Corporation (IDC).

Revenue from pick-and-pack robotics specifically tailored for cold chain environments is projected to reach $2.1 billion in 2025, up from an estimated $1.6 billion in 2024, according to Frost & Sullivan. This surge is attributed to several factors:

• Expansion of E-commerce in Perishables: The rapid growth of online grocery and pharmaceutical sales is intensifying the need for efficient, accurate, and hygienic order fulfillment in refrigerated and frozen environments.
• Labor Shortages: Persistent labor shortages in warehouse operations, especially in cold storage facilities, are accelerating the adoption of robotic solutions.
• Technological Advancements: Improvements in machine vision, gripper technology, and AI-driven path optimization are making pick-and-pack robots more viable for handling diverse SKUs in cold and variable temperature settings.

Regionally, North America and Europe are expected to lead in adoption, with Asia-Pacific markets—particularly China and Japan—showing the fastest growth rates. Mordor Intelligence estimates that by 2025, over 30% of new cold storage facilities in these regions will integrate some form of robotic pick-and-pack automation.

Looking ahead, the market is anticipated to maintain double-digit growth through 2030, with total revenues from pick-and-pack robotics in cold chain logistics projected to exceed $4.8 billion by the end of the decade (Statista). This trajectory underscores the sector’s critical role in supporting the scalability, efficiency, and reliability of global cold chain operations.

Regional Analysis: Adoption and Investment Hotspots

The adoption of pick-and-pack robotics in cold chain logistics is accelerating globally, with distinct regional hotspots emerging due to varying levels of investment, technological readiness, and supply chain demands. In 2025, North America and Western Europe are leading in both deployment and investment, driven by mature e-commerce markets, stringent food safety regulations, and acute labor shortages in warehousing. The United States, in particular, has seen significant capital inflows into cold chain automation, with major logistics providers and retailers such as Walmart and Kroger piloting advanced robotic systems to enhance efficiency and reduce operational costs. According to Mordor Intelligence, North America accounted for over 35% of global cold chain robotics investments in 2024, a trend expected to continue into 2025.

In Western Europe, countries like Germany, the Netherlands, and the United Kingdom are at the forefront of integrating robotics into temperature-controlled logistics. The region’s focus on sustainability and energy efficiency has spurred the adoption of robotics that minimize product handling time and reduce energy consumption in refrigerated environments. The European Union’s Green Deal and digitalization initiatives are further incentivizing investments in automation, as highlighted by European Commission policy frameworks.

Asia-Pacific is rapidly emerging as a growth engine for pick-and-pack robotics in cold chain logistics, propelled by the expansion of organized retail, rising demand for perishable goods, and government support for smart logistics infrastructure. China and Japan are notable leaders, with companies like JD.com and Yaskawa Electric Corporation investing heavily in robotic solutions for cold storage and fulfillment centers. According to IMARC Group, Asia-Pacific is projected to witness the fastest CAGR in cold chain automation through 2025, outpacing other regions.

In contrast, adoption in Latin America, the Middle East, and Africa remains nascent, hindered by infrastructure gaps and high upfront costs. However, targeted investments and pilot projects—particularly in Brazil and the UAE—signal growing interest, especially as global food trade and pharmaceutical distribution networks expand. Overall, 2025 will see regional leaders consolidating their positions while emerging markets begin to close the gap through strategic investments and technology partnerships.

Challenges, Risks, and Opportunities in Cold Chain Robotics

The integration of pick-and-pack robotics into cold chain logistics presents a dynamic landscape of challenges, risks, and opportunities as the sector advances in 2025. These robotic systems, designed to automate the selection and packaging of temperature-sensitive goods, are increasingly vital for industries such as pharmaceuticals, fresh food, and biologics. However, their deployment in cold environments introduces unique technical and operational complexities.

Challenges and Risks

• Environmental Constraints: Cold chain facilities often operate at sub-zero temperatures, which can impair the performance and longevity of robotic components. Lubricants may thicken, batteries can lose efficiency, and sensors may become less reliable, necessitating specialized hardware and maintenance protocols (ABB).
• Product Variability: The diversity of items handled—ranging from fragile vials to irregularly shaped produce—demands advanced machine vision and adaptive gripping technologies. Ensuring gentle yet secure handling without compromising product integrity remains a significant technical hurdle (Thermo Fisher Scientific).
• Regulatory Compliance: Cold chain logistics are subject to stringent regulations, especially in pharmaceuticals and food. Robotic systems must be validated for traceability, hygiene, and temperature control, increasing the complexity and cost of deployment (U.S. Food and Drug Administration).
• High Upfront Investment: The capital expenditure for cold-resistant robotics and supporting infrastructure can be prohibitive for small and mid-sized operators, potentially slowing adoption rates (McKinsey & Company).

Opportunities

• Labor Optimization: Robotics can address labor shortages and reduce human exposure to harsh environments, improving worker safety and operational continuity (International Federation of Robotics).
• Efficiency and Accuracy: Automated pick-and-pack systems can significantly increase throughput and order accuracy, reducing spoilage and waste—key metrics in cold chain performance (Gartner).
• Data-Driven Insights: Robotics equipped with IoT sensors generate real-time data on inventory, temperature, and handling, enabling predictive analytics and proactive quality control (IBM).
• Scalability: Modular robotic solutions allow for phased implementation, enabling operators to scale automation in line with demand and budget constraints (Boston Consulting Group).

As 2025 unfolds, the successful adoption of pick-and-pack robotics in cold chain logistics will hinge on overcoming environmental and regulatory barriers while capitalizing on the technology’s potential to transform efficiency, safety, and data-driven decision-making.

Future Outlook: Innovations and Strategic Recommendations

The future outlook for pick-and-pack robotics in cold chain logistics is shaped by rapid technological innovation and evolving industry demands. As the global cold chain market expands—driven by growth in pharmaceuticals, fresh food, and e-commerce—automation is becoming essential for efficiency, accuracy, and compliance with stringent temperature requirements. In 2025, several key innovations and strategic directions are expected to define the sector.

• Advanced Sensing and AI Integration: Robotics vendors are increasingly integrating advanced sensors and artificial intelligence to enable real-time monitoring of temperature, humidity, and product integrity during pick-and-pack operations. This ensures compliance with regulatory standards and reduces spoilage, a critical concern in cold chain logistics. Companies like ABB and FANUC are investing in machine learning algorithms that optimize picking routes and adapt to variable product shapes and packaging.
• Collaborative Robotics (Cobots): The adoption of collaborative robots is expected to accelerate, allowing human workers and robots to operate safely side by side in temperature-controlled environments. This hybrid approach addresses labor shortages and enhances productivity, especially in facilities handling high SKU diversity. Universal Robots is pioneering cobot solutions tailored for cold storage applications.
• Material and Design Innovations: Robotics designed for cold environments are leveraging new materials and insulation technologies to maintain performance and reliability at sub-zero temperatures. Enhanced durability reduces maintenance costs and downtime, a significant advantage for 24/7 cold chain operations.
• Integration with Warehouse Management Systems (WMS): Seamless integration between robotics and WMS platforms is becoming standard, enabling real-time inventory tracking and dynamic order fulfillment. SSI SCHÄFER and Dematic are leading the way in offering end-to-end automated solutions for cold chain warehouses.

Strategically, industry players should prioritize investments in modular, scalable robotic systems that can adapt to changing product mixes and regulatory landscapes. Partnerships with technology providers and ongoing workforce training will be crucial to maximize ROI and ensure smooth adoption. As sustainability becomes a key differentiator, robotics that minimize energy consumption and reduce waste will gain competitive advantage. According to Fortune Business Insights, the global cold chain market is projected to reach $647.47 billion by 2028, underscoring the urgency for logistics providers to embrace automation and innovation in their cold chain operations.

Sources & References

• MarketsandMarkets
• FANUC
• KUKA
• Grand View Research
• Siemens
• Dematic
• Daifuku
• Zebra Technologies
• Blue Yonder
• 6 River Systems
• FANUC
• Lineage Logistics
• International Data Corporation (IDC)
• Frost & Sullivan
• Mordor Intelligence
• Statista
• Walmart
• European Commission
• JD.com
• Yaskawa Electric Corporation
• IMARC Group
• Thermo Fisher Scientific
• McKinsey & Company
• International Federation of Robotics
• IBM
• Universal Robots
• SSI SCHÄFER
• Fortune Business Insights