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Smart Food Logistics Market Overview, Key Trends, and Insights on Top Players

12-10-2025 01:43 PM CET | Logistics & Transport

Press release from: The Business Research Company

Smart Food Logistics Market

Smart Food Logistics Market

The smart food logistics industry is rapidly evolving, driven by innovations aimed at enhancing the efficiency and safety of food transportation and storage. As technology becomes more integrated into supply chains, this market is poised for significant expansion in the coming years. Let's explore the projected market size, key players, emerging trends, and segment breakdowns shaping this dynamic sector.

Projected Market Size of the Smart Food Logistics Market by 2029
The smart food logistics market is set to experience impressive growth, reaching a valuation of $28.45 billion by 2029. This expansion corresponds to a compound annual growth rate (CAGR) of 16.2%. Several factors are fueling this momentum, including the rising demand for real-time temperature monitoring, the ongoing development of smart transport infrastructure, broader adoption of blockchain technology for food traceability, and increased investments in cloud-based logistics platforms tailored for the food industry. Key trends expected to influence the market include advances in smart packaging, the rise of AI-driven route optimization tools, deeper focus on predictive analytics research, greater use of automation and robotics in warehousing, and the growing implementation of digital twins for logistics oversight.

Download a free sample of the smart food logistics market report:
https://www.thebusinessresearchcompany.com/sample.aspx?id=30397&type=smp

Prominent Organizations Leading the Smart Food Logistics Market
The competitive landscape of smart food logistics features a number of influential players, such as Zebra Technologies Corporation, Samsara Inc., Geotab, Digi International Inc., Telit Cinterion, Nippon Express Co. Ltd., ORBCOMM Inc., Controlant, Americold Logistics LLC., Lineage Inc., Teletrac Navman, Savi Technology, NewCold, Tive Inc., Roambee, Traxens, Testo SE & Co. KGaA, Monnit Corporation, Berlinger & Co. AG, Cooltrax, Yusen Logistics Co. Ltd., ELPRO-BUCHS AG, Kii Corporation, Infratab, Sonicu, LYNA LOGICS Inc., and Nuvizz. A notable recent development took place in July 2024 when Kaleris, Inc., a US-based provider of supply chain execution and visibility technologies, acquired CAMS Software Corporation. This strategic acquisition aims to broaden Kaleris' offerings by incorporating sophisticated transportation management solutions, reinforcing its foothold in sectors such as grocery, food and beverage, retail, and consumer packaged goods. CAMS Software is recognized for its specialized transportation management software designed to optimize large-scale grocery distribution and enable smarter food logistics.

Technological Innovations Shaping the Future of Smart Food Logistics
Leading companies are investing heavily in cutting-edge technologies to revolutionize last-mile delivery and improve overall efficiency. One of the most promising innovations is autonomous food delivery robots, which are self-navigating vehicles equipped with sensors, navigation systems, and insulated compartments capable of transporting prepared meals or groceries without human drivers. These robots aim to accelerate delivery times, lower labor expenses, prevent food spoilage through temperature-controlled routes, and meet the rising demand for on-demand fulfillment services. For example, in May 2025, UAE-based Yango Group Ltd. launched a pilot program featuring AI-powered, fully electric autonomous delivery robots operating within Expo City. These silent, emission-free robots deliver food orders from selected restaurants straight to users' locations, starting with the Al Wasl 3 office building. They independently chart routes, avoid obstacles, and prioritize pedestrian safety. Customers place orders via the Expo City Eats app, with plans to expand the service across Expo City after a four-month trial period. This initiative supports Dubai's broader smart city and sustainability goals by reducing noise and traffic congestion.

View the full smart food logistics market report:
https://www.thebusinessresearchcompany.com/report/global-smart-food-logistics-market-report

Detailed Segmentation of the Smart Food Logistics Market
The smart food logistics market is categorized into several key segments for a detailed understanding:
1) Component: Divided into Hardware and Software categories.
2) Technology: Encompasses Internet of Things (IoT), Artificial Intelligence (AI) and Machine Learning, Blockchain Technology, Warehouse Management Systems (WMS), and Transportation Management Systems (TMS).
3) Type of Service: Covers Transportation, Warehousing, Inventory Management, Order Fulfillment, and Distribution and Delivery Services.
4) Mode of Transport: Includes Road Freight, Air Freight, Sea Freight, and Rail Freight.
5) End-User: Targets industries such as Food and Beverage, Pharmaceuticals, Retail, Consumer Goods, and Agriculture.

Further sub-classifications include:
- Hardware components like Tracking Devices, Temperature Monitoring Systems, Refrigeration Units, and Packaging Equipment.
- Software solutions covering Fleet Management, Inventory Management, Route Optimization, Data Analytics, and Supply Chain Visibility.

This comprehensive segmentation offers insight into the diverse technologies, services, and applications driving the smart food logistics market forward, positioning it for substantial growth in the near future.

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With over 17500+ reports from 27 industries covering 60+ geographies, The Business Research Company has built a reputation for offering comprehensive, data-rich research and insights. Armed with 1,500,000 datasets, the optimistic contribution of in-depth secondary research, and unique insights from industry leaders, you can get the information you need to stay ahead.Our flagship product, the Global Market Model (GMM), is a premier market intelligence platform delivering comprehensive and updated forecasts to support informed decision-making.

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