Trend Radar 2026
Jak se logistika vyvíjí
Logistics trend radar: identify what really matters to future-proof your strategy
Logistics trends do not emerge overnight. They are shaped by developments well beyond the warehouse. Economic conditions, regulation, labour availability, sustainability ambitions and technological progress all influence how logistics evolves over time. To understand which of these developments are most relevant for intralogistics, Toyota Material Handling Europe works with a structured Trend Radar. This framework provides a consistent way to observe change and assess its potential impact on logistics operations.
Pohled za hranice logistiky
Základem Trend Radaru jsou vnější faktory. Tyto změny vznikají mimo logistické odvětví, ale přímo ovlivňují způsob navrhování, organizace a řízení dodavatelských řetězců i skladů.
Ekonomický výhled, geopolitická nejistota, nedostatek pracovní síly, požadavky v oblasti udržitelnosti a ESG, energetická transformace, regulatorní tlak i kybernetická bezpečnost utvářejí prostředí, ve kterém musí logistika fungovat. Neurčují konkrétní řešení, ale výrazně ovlivňují směr dalšího vývoje.
Co jednotlivé pojmy znamenají a proč se objevují na radaru trendů v logistice >
Technologie jako prostředek změny
Automatizace, digitalizace a umělá inteligence hrají důležitou roli v mnoha logistických trendech. Samotné technologie však nejsou výchozím bodem Trend Radaru.
Technologie vnímáme jako nástroje umožňující změnu a hodnotíme je podle jejich vyspělosti, prokázaného přínosu pro provoz a schopnosti bezpečného a spolehlivého rozšíření. Teprve po splnění těchto podmínek se jejich potenciál mění v praktické využití.
Od vnějších tlaků k trendům v logistice
Vnější faktory se promítají do konkrétních změn v logistických provozech. Ovlivňují způsob skladování a přepravy zboží, zajištění přehlednosti a odolnosti procesů, využívání energie i možnosti bezpečnější a efektivnější práce v logistickém prostředí.
Právě zde se formují logistické trendy – nikoli jako abstraktní pojmy, ale jako praktické reakce na výzvy a očekávání, kterým čelí organizace napříč dodavatelským řetězcem. Tyto změny se objevují na našem radaru.
What do the "External factors" terms in the Trend Radar mean?
- Economic outlook – An economic outlook is the forecast of future economic conditions, including GDP growth, inflation, employment, and trade. For logistics, the economic outlook directly influences investment confidence, demand for warehousing capacity, and the willingness of operators to commit to capital-intensive automation projects.
- Cybersecurity – Cybersecurity is the practice of protecting digital systems, networks, and data from unauthorised access and cyber threats. As warehouses become more connected — with networked WMS, IoT sensors, and autonomous vehicles — the risk of ransomware, data breaches, and operational disruption from cyberattacks grows, making cybersecurity an increasingly critical consideration for logistics operators.Geopolitical impact – Geopolitical impact refers to how political relations between countries, conflicts, and strategic decisions affect trade and economic activity. For logistics, geopolitical instability can disrupt supply chains, shift trade routes, and drive trends such as nearshoring and regionalisation of supply networks.
- Trade barriers – Trade barriers are government-imposed restrictions on international trade, including tariffs, quotas, and regulatory requirements. They directly affect logistics costs, route planning, and customs complexity, and are increasingly shaping decisions about where to locate warehouses and distribution centres.
- ESG compliance – ESG (Environmental, Social, and Governance) compliance covers the non-financial standards that organisations are expected to meet. European regulations such as the Corporate Sustainability Reporting Directive (CSRD) are making ESG compliance a mandatory operational requirement for logistics operators, driving investment in emissions measurement, sustainability reporting, and supply chain transparency.
- Net zero commitment – A net zero commitment is a pledge to reduce greenhouse gas emissions to as close to zero as possible, offsetting any residual emissions. For logistics, this translates into concrete operational changes: fleet electrification, renewable energy procurement, energy-efficient facility design, and the measurement and reduction of Scope 1–3 emissions.
- Labour shortage – Labour shortages occur when the demand for workers exceeds the available supply. In European logistics, shortages driven by demographic change and shifting job preferences are a persistent challenge, accelerating investment in automation, robotics, and workforce retention strategies to reduce operational dependence on manual labour.
- Circular economy – A circular economy is an economic model that minimises waste by keeping materials in use through reuse, repair, remanufacturing, and recycling — replacing the traditional linear ‘take, make, dispose’ approach. For logistics, this drives new operational requirements including reverse flows, reusable packaging systems, and product lifecycle management.
- Diversity, equity and inclusion – Diversity, equity, and inclusion (DE&I) are frameworks for ensuring fair treatment, broad representation, and a sense of belonging for all people within an organisation. In a competitive logistics labour market, organisations with strong DE&I practices are better positioned to attract and retain talent from a wider pool of candidates.
- Competence shift – Competence shift describes the changing skills and knowledge required in the workforce as technology and business models evolve. In logistics, this means a growing need for technical capabilities — such as operating automated systems, interpreting data, and managing AI-enabled processes — alongside traditional operational expertise.
- Serviceification – Serviceification is the trend of selling outcomes and services rather than products alone — for example, offering mobility as a service rather than selling a vehicle. In logistics, this is reflected in subscription-based models for equipment, automation as a service, and bundled solutions that combine hardware, software, and support into flexible, scalable offerings.
- Ecosystems and partnerships – Ecosystems and partnerships are collaborative networks where multiple organisations work together, combining complementary capabilities to create shared value. In logistics, no single provider can deliver every element of an automated, digitally connected warehouse — driving partnerships between equipment manufacturers, software vendors, integrators, and service providers.
- EC directions – European Commission directions are the regulatory and strategic priorities set by the EU that shape the operating environment for European businesses. For logistics, key areas include sustainability regulations (CSRD, packaging directives), digital transformation requirements, and industrial competitiveness policies that affect investment and compliance planning.
- New energy landscape – The new energy landscape involves the transition to renewable energy sources such as solar and wind, increased electrification, and the development of advanced energy storage and green hydrogen. For logistics, this means new opportunities for on-site energy generation and cost management, alongside challenges related to grid capacity and infrastructure investment.
- Ageing population – The ageing population is the demographic trend of rising average age, driven by declining birth rates and increased life expectancy. For logistics, this contributes to workforce shortages, increases the need for ergonomic workplace design and automation of physically demanding tasks, and creates growing demand for healthcare-related logistics services.
- Net zero global emissions – Net zero global emissions refers to the worldwide goal of balancing greenhouse gas emissions with removals, aiming to halt the net increase of atmospheric CO₂. For logistics, this long-term target shapes regulatory frameworks, customer expectations, and investment strategies around decarbonisation and sustainable operations.
- Dynamic energy pricing – Dynamic energy pricing is a tariff structure where electricity prices fluctuate based on supply and demand, with higher rates during peak hours and lower rates off-peak. For logistics operators with energy-intensive facilities, this creates opportunities to reduce costs through load shifting — scheduling charging, automation, and climate control during cheaper price windows.
- Digital Product Passport – A Digital Product Passport (DPP) is an EU-mandated digital record that accompanies a product through its lifecycle, containing information on materials, manufacturing, environmental impact, repairability, and recyclability. Under the Ecodesign for Sustainable Products Regulation (ESPR), DPPs are being phased in across product categories from 2026 to 2030, starting with batteries, iron and steel, and textiles. For logistics, DPPs require new data capture, scanning, and management capabilities at every warehouse handling point, and reinforce existing trends in supply chain visibility, traceability, and ESG compliance.
What do the "Tools & Technologies" terms in the Trend Radar mean?
- Fixed automation – Fixed automation uses specialised equipment to perform specific, repetitive tasks in high-volume environments — such as conveyors, sorters, and palletisers. It offers high throughput and consistency but limited flexibility, making it best suited to operations with stable, predictable workflows.
- Electrification – Electrification is the process of replacing fossil-fuel-powered equipment with electric alternatives. In logistics, the transition to lithium-ion powered forklifts, AGVs, and AMRs is well advanced, with the focus now shifting to the infrastructure challenges of charging management, grid capacity, and energy storage.
- AGV – Automated Guided Vehicles (AGVs) are driverless transport vehicles that follow fixed routes using guidance systems such as magnetic tape, QR codes, or embedded wires. They are widely used in warehouses and manufacturing for repetitive material transport, offering predictable performance and high reliability.
- IoT – The Internet of Things (IoT) is a network of interconnected devices equipped with sensors and software that collect and exchange data. In logistics, IoT enables real-time monitoring of equipment, inventory, and environmental conditions, feeding data into warehouse management, fleet control, and predictive maintenance systems.
- Big data analytics – Big data analytics involves processing and analysing large, complex datasets to extract insights, identify patterns, and support data-driven decision-making. In logistics, it supports demand forecasting, route optimisation, performance benchmarking, and operational efficiency improvements.
- Picking robots – Picking robots automate the process of selecting items and placing them in designated locations. They use advanced vision systems to identify and sort items, handling repetitive tasks with high accuracy. In logistics, they reduce labour requirements and improve consistency in order fulfilment.
- Robot process automation – Robotic Process Automation (RPA) uses software robots to automate repetitive, rule-based tasks such as data entry, reporting, and inventory reconciliation. In logistics, RPA reduces manual administrative effort and error rates, freeing staff for higher-value activities.
- Low emission fuels – Low emission fuels are energy sources that produce fewer greenhouse gases than conventional fossil fuels. They include biofuels, synthetic fuels, and green hydrogen. In logistics, they offer decarbonisation pathways for applications where full electrification is not yet practical, such as long-haul transport.
- Track and trace solutions – Track and trace solutions monitor the movement of goods through the supply chain, providing real-time visibility and end-to-end traceability. They help improve supply chain efficiency, enhance security, ensure regulatory compliance, and give customers accurate delivery information.
- Autonomous mobile robots (AMR) – AMRs are robots capable of navigating warehouse environments autonomously using SLAM, LiDAR, and vision systems, without requiring fixed infrastructure. They offer greater flexibility than AGVs and can adapt to changing layouts. As fleets grow, the challenge is shifting towards coordinating mixed fleets of AMRs alongside other vehicles.
- Computer vision AI – Computer vision is a branch of artificial intelligence that enables machines to interpret visual information from cameras and sensors. In logistics, it is applied to automated picking, quality inspection, damage detection, dock monitoring, and safety systems that recognise pedestrians and obstacles in vehicle operating zones.
- Generative AI (includes Foundation Models) – Generative AI uses large-scale foundation models — machine learning systems trained on broad datasets — to create new content such as text, images, and structured data. In logistics, emerging applications include natural-language querying of warehouse data, automated report generation, AI-assisted scenario planning, and intelligent exception handling. Foundation models also underpin other AI capabilities including computer vision and natural language processing. Most warehouse-specific applications are still at an early stage of adoption.
- Agentic AI – Agentic AI refers to AI systems that can autonomously plan, execute, and adapt multi-step actions to achieve goals, using tools and interacting with external systems without continuous human direction. In logistics, this could enable autonomous exception handling, dynamic operational coordination across warehouse systems, and end-to-end process management — moving AI from an advisory role to an active operational one. The technology is advancing rapidly, though deployment in physical logistics environments requires careful attention to governance and human oversight.
- Collaborative robots – Collaborative robots (cobots) are designed to work safely alongside human workers in shared environments. They automate repetitive or physically demanding tasks while adapting to human presence, making them suitable for operations where full automation is not practical or cost-effective.
- Additive manufacturing – Additive manufacturing, commonly known as 3D printing, creates three-dimensional objects by layering materials based on digital designs. In logistics, the primary application is the local production of spare parts on demand, reducing the need for large inventories and long supply chains for low-volume components.
- Digital twins – Digital twins are virtual replicas of physical systems that use real-time data to simulate and optimise their real-world counterparts. In logistics, they enable warehouse layout optimisation, operational scenario planning, capacity modelling, and predictive analysis — allowing operators to test changes in a virtual environment before implementing them physically.
- Solid state batteries – Solid-state batteries use solid electrolytes instead of liquid ones, offering potential advantages in safety, energy density, charging speed, and lifespan. For logistics, they could enable longer operating times and faster charging for electric forklifts, AGVs, and AMRs once the technology reaches commercial maturity.
- Extended reality – Extended Reality (XR) encompasses augmented reality (AR), virtual reality (VR), and mixed reality (MR) technologies that overlay or replace the physical world with digital content. In logistics, potential applications include pick-by-vision, immersive training environments, and remote maintenance support — though large-scale adoption in warehouse operations has been slower than initially anticipated.
- 5G industrial applications – 5G is the fifth generation of mobile network technology, offering higher speed, lower latency, and the ability to connect more devices simultaneously. In logistics, industrial 5G can support real-time communication between large numbers of sensors, robots, and control systems — enabling more responsive and flexible warehouse operations.
- Hydrogenification – Hydrogenification is the transition from fossil fuels to hydrogen as a cleaner energy source. Green hydrogen, produced from water using renewable energy, can power fuel cells for vehicles and industrial processes. In logistics, hydrogen is relevant for heavy-duty applications where battery electrification faces range or weight limitations.
- Remote operation – Remote operation enables the control of equipment and systems from a distance using IoT, AI, and communication technologies. In logistics, this allows operators to manage forklifts, cranes, or other machinery remotely, improving safety in hazardous environments and enabling more flexible workforce deployment.
- Humanoid robots – Humanoid robots are machines designed to resemble the human body, typically with a torso, head, two arms, and two legs. Their potential advantage for logistics is the ability to operate in environments built for people — navigating doorways, operating existing equipment, and handling unstructured tasks — without requiring infrastructure modifications. The technology is still in early development, with significant challenges remaining in dexterity, endurance, and cost.
- Edge AI – Edge AI refers to running artificial intelligence algorithms directly on local devices — such as robots, vehicles, and sensors — rather than in the cloud. This enables real-time decision-making without network latency, which is particularly important for safety-critical logistics applications like collision avoidance and dynamic navigation.
- AI-driven energy orchestration – AI-driven energy orchestration uses artificial intelligence to balance energy generation, storage, consumption, and cost across a facility in real time. For logistics operators managing on-site solar, battery storage, electric vehicle charging, and dynamic energy pricing, AI orchestration can optimise energy use against both operational needs and cost targets simultaneously.
What do the "Trends in Logistics" terms in the Trend Radar mean?
- Sustainable logistics – Sustainable logistics integrates environmental responsibility, social awareness, and economic efficiency into supply chain operations. This includes fleet electrification, renewable energy adoption, circular packaging practices, and the measurement and reduction of carbon emissions across warehouse and distribution activities.
- Reverse flows – Reverse flows encompass the return, repair, recycling, and disposal of products moving back through the supply chain. Growing e-commerce return volumes and sustainability requirements are driving investment in dedicated returns processing zones, automated sorting, and AI-based disposition decisions within warehouse operations.
- E-commerce impact – E-commerce has fundamentally changed logistics by driving demand for faster fulfilment, smaller order sizes, and more complex last-mile delivery. As e-commerce matures, the focus is shifting from rapid growth to operational efficiency and profitability, placing greater pressure on warehouse automation and inventory management.
- Omnichannel logistics – Omnichannel logistics is a strategy that integrates multiple sales channels — online, in-store, and mobile — to provide a seamless customer experience. This requires unified inventory management across platforms, flexible fulfilment options, and real-time stock visibility across all channels.
- Engage and retain – Engage and retain refers to strategies for keeping employees motivated, productive, and committed to an organisation. In logistics, where staff turnover is typically high, effective approaches include clear career pathways, continuous training, flexible scheduling, recognition programmes, and investment in workplace wellbeing.
- Supply chain visibility – Supply chain visibility is the ability to track goods, assets, and information in real time as they move through the supply chain. Technologies such as IoT sensors, RFID, real-time location systems, and integrated analytics platforms are enabling end-to-end monitoring from receiving to shipping, improving responsiveness and reducing disruptions.
- Automated inventory – Automated inventory refers to the use of software and technology to manage and track stock levels with minimal manual intervention. Automated systems improve counting accuracy, reduce discrepancies, and enable real-time visibility of inventory positions across facilities.
- Warehouse simulation and modelling – Warehouse simulation and modelling involves creating digital representations of warehouse operations to analyse and optimise performance. Often linked to digital twin technology, these simulations enable operators to test layout changes, workflow adjustments, and capacity scenarios before committing to physical modifications.
- Energy efficiency – Energy efficiency means achieving the same operational output with less energy consumption. In logistics, this encompasses smart charging management for electric fleets, on-site energy generation, building optimisation, and the use of energy management platforms to balance consumption with cost and sustainability goals.
- Last mile delivery solutions – Last mile delivery solutions are the strategies and technologies used to manage the final stage of delivery from a distribution centre to the customer. This stage is often the most expensive and complex, and solutions include route optimisation, real-time tracking, and flexible delivery options.
- Data governance – Data governance is a framework for managing the quality, security, accessibility, and use of data within an organisation. As logistics operations become more data-intensive — with IoT sensors, AI, and connected systems generating large volumes of operational data — effective data governance becomes essential for reliable decision-making and regulatory compliance.
- Personalised delivery options – Personalised delivery options give consumers greater control over how, when, and where their orders are delivered — including home delivery, in-store collection, locker pickup, and time-slot selection. Meeting these expectations requires flexible logistics infrastructure and real-time coordination across fulfilment channels.
- Resilient logistics – Resilient logistics is about building supply chain systems that can anticipate, withstand, and recover from disruptions — whether caused by geopolitical events, natural disasters, supplier failures, or demand volatility. This drives investment in supply chain diversification, real-time monitoring, and contingency planning.
- Digital platforms – A digital platform is a software-based infrastructure that facilitates interactions, transactions, and data exchange between users and systems. In logistics, digital platforms enable fleet management, warehouse orchestration, marketplace connectivity, and data-driven coordination across multiple facilities and partners.
- Digital supply chain strategy – A digital supply chain strategy uses digital technologies and data analytics to manage and optimise the flow of goods, services, and information from suppliers to customers. This enhances decision-making, improves efficiency, and enables faster responses to changes and disruptions.
- Open logistics platforms – An open logistics platform is a digital ecosystem that connects different stakeholders in the supply chain — shippers, carriers, forwarders, and logistics providers — through standardised interfaces and shared data. The goal is to enable seamless collaboration and process automation across organisational boundaries.
- Physical internet – The Physical Internet is a long-term vision for a globally interconnected logistics network, inspired by how the digital internet moves data. It envisions standardised, modular containers moving through shared infrastructure and open networks, improving efficiency, reducing empty transport, and enabling more sustainable freight movement.
- Automation as a service – Automation as a service is a commercial model where logistics operators access automated solutions through subscription or pay-per-use arrangements rather than large upfront capital investments. This lowers the barrier to entry for warehouse automation, particularly for mid-sized operations, by converting capital expenditure into scalable operating costs.
- Fleet orchestration – Fleet orchestration refers to the coordinated management of mixed vehicle fleets — AGVs, AMRs, automated forklifts, and human-operated vehicles — through a unified control layer. As facilities deploy more automated vehicles from multiple vendors, vendor-agnostic orchestration platforms that optimise path planning, task allocation, and congestion management across all vehicle types are becoming increasingly important.
From radar to focus
The Trend Radar provides a broad and long‑term view of how logistics is evolving. Each year, this continuous analysis is combined with direct input from customers gathered through our annual survey.
Based on this combined insight, a focused set of logistics trends is selected for deeper exploration. These trends are not chosen because they are new, but because they are especially relevant for logistics decision‑makers today.