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Container Shipping Overcapacity & Rate Outlook 2026

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Container Shipping Overcapacity & Rate Outlook 2026

Published: January 27, 2026

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Container freight is poised for a downcycle – putting downward pressure on rates and carrier revenue – starting in 2026 as an unprecedented wave of new vessel capacity enters the market. But despite signs of overcapacity in 2025, carriers continue ordering new vessels and holding onto older ships.

In a recent Freightos market update webinar, Parash Jain, Managing Director, Global Head of Transport & Logistics Research at HSBC shared his analysis of this state of affairs: This seemingly counterintuitive strategy reflects carrier lessons learned from recent disruptions and longer-term strategic positioning, at the cost of rate and revenue challenges for carriers in the coming years.

Key Takeaways

There’s a reason vessels aren’t being retired. Despite overcapacity concerns, carriers are maintaining older vessels as insurance against unpredictable disruptions, the “known unknowns” of global shipping – like COVID and the Red Sea crisis –- for which available capacity has helped carriers keep containers moving and maximize volumes and revenue.

Pandemic-era profits have both allowed carriers to pay down vessel debt – reducing pressure to scrap ships – and enabled them to prepare for the future now via newbuilds

Individual carriers have to make vessel purchase decisions based on their own needs and strategies, not on the aggregate capacity level in the market – likewise contributing to vessel order growth despite industry overcapacity

Expect a cyclical pattern of sharp rate dips followed by periods of recovery through capacity management in the near term, though overall rate levels will likely trend lower than 2025 through the downcycle. In the long-term, the larger fleets will make the market more resilient (should carriers choose to activate them when the going gets tough).

An oversupplied market: Trends in overcapacity

One of the biggest factors likely to impact container rates in 2026 is the growing global fleet.

Since 2021, carriers have been plowing their record profits earned from record revenues during the pandemic years into a record number of orders for new vessels – some of which started being delivered in 2023. According to S+P, an estimated ten million TEU of container ship capacity – the size of a third of the current active fleet – is now on order and will be delivered over the next few years.

Source: S+P in JOC.com

As demand eased post-pandemic and new vessels started being delivered, Freightos Baltic Index spot rates fell sharply with transpacific pricing to the West Coast (FBX01) dipping below $1,000/FEU in March of 2023. When the Red Sea crisis began however, the longer sailing times for Asia – Europe voyages and the extra vessels deployed to maintain departure schedules on these lanes absorbed that excess capacity, pushing freight rates up to their highest levels since COVID.

But new vessels continued to enter the market in 2024 and 2025. And even with Red Sea diversions continuing throughout 2025, the growing supply pushed East – West long haul rates down by 45% year on year, with transpacific rates slipping to $1,400/FEU in October 2025.

Check out our Container Bytes podcast for a bitsize weekly freight update

Driving a Downcycle

The current orderbook size means the fleet will continue to grow significantly over the coming few years, such that even with demand growth, most observers project a container market downcycle: capacity is expected to outpace volumes putting persistent downward pressure on freight rates, reducing carrier revenues and even spurring losses.

Carriers maintain that they will pull all the capacity management levers – blanked sailings, idled vessels, service suspensions, slow steaming and scrapping – to balance supply with demand and minimize or avoid periods of losses. But despite the current signs of overcapacity, the current idle fleet is minimal and very few older ships have been scrapped. What’s more, carriers continue to order more vessels to join the already overstocked fleet.

Why no scrapping? The “Known Unknown”

Lessons learned and profits earned in the last few years may be motivating carriers to hold on to older ships even at the risk of oversupply.

More Capacity for Better Resilience

Though it may not have seemed that way as delays mounted and freight rates spiked, the slack capacity available during the pandemic did help carriers keep containers moving. Post-COVID, as noted above, overcapacity was one factor to loss making rates at times in 2023. But by December, carriers were diverting away from the Red Sea, and vessels that had just been considered oversupply were now key to carriers (mostly) maintaining departure schedules despite the much longer voyages. Available capacity was key to helping shippers keep their orders coming while also allowing carriers to maximize volumes and revenues even with the disruption.

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And the list of examples of disruptions for which having excess capacity available has helped carriers adjust –- the Russia-Ukraine war, Panama Canal drought, Baltimore bridge collapse, port strikes, and tariff frontloading – since the pandemic is a long one. This list makes a compelling argument that the next unpredictable disruption – the “known unknown” – is out there, and makes keeping older, extra vessels active despite the overcapacity risk make sense.

Pandemic-era carrier profits are also playing a part in the decision not to scrap older vessels. In previous downcycles, carriers have been incentivized to scrap vessels and use the proceeds to pay down debt or cover losses from sinking revenues. This time though, carriers have already used those record profits to pay down almost all debt on their vessels over the last few years and still have cash on hand to cover losses if they arise.

But why are more container ships on the orderbooks in 2026?

The above factors make a case for keeping paid off vessels in circulation, but if these also increase the risk of overcapacity, why are carriers continuing to order vessels after the 2021 to 2024 spending spree?

Because even if the industry is oversupplied, individual carriers can’t make ordering decisions from a market perspective. One carrier’s capacity gain doesn’t address another’s needs. So one investing in new vessels doesn’t mean a competitor won’t continue to order too, even if in the aggregate it pushes the market (further) into oversupply.

Different carriers have had different fleet renewal strategies and – especially given the low rate of new vessels ordered from 2016 to 2020 – some carriers are still playing catch up in a market where shipyard capacity is limited and vessels take a long time to build. Finally, the COVID profits mean carriers have the opportunity now to invest in new, more efficient and lower carbon ships and prepare for the next twenty-five years, even if it means contributing to a downcycle.

Can capacity management prevent downcycle losses?

Much to the surprise of long time observers, in recent years carriers have demonstrated the ability to manage capacity effectively and keep rates up in times of demand collapses – first during the initial volume drop in the first months of the pandemic, and more recently during the month and a half in 2025 when US tariffs on China stood at 145%.

If carriers kept rates level when demand evaporated, why can’t they do the same when capacity grows?

When demand collapses were abrupt, like in 2020 and 2025, carriers were able to make a proportionate response – in many cases just simply keeping vessels wherever they were at the time – and keep rates level.

But when the imbalance is structural, gradual and sustained – like in a supply-drive downcycle – the process of rebalancing can be much more challenging and prolonged. As the examples of the supply-driven rate slides in 2023 and late Q3 through October of 2025 show, it is harder to maintain that discipline when the drivers are a trend instead of a shock. And since incremental costs of taking on additional containers decrease once a vessel is already mostly booked, the economics of container shipping can also sometimes help push carriers into low or loss making rate environments.

But both instances of extremely low spot rates in 2023 and 2025 were followed by periods of rate recovery through capacity reductions even as demand continued to ease, and further price increases as seasonal demand picked up.

This pattern is likely the one we’ll see repeated over the coming years as capacity continues to grow: overall downward pressure on rates with levels likely lower than in 2025, and periods of very low spot prices followed by rate recoveries via capacity management or increases in demand.

All things being equal, this scenario should be a big driver of rate and revenue levels in the container market until a rebalance of supply and demand spurs the next upcycle.

On to the next known unknown?

But of course, the known unknowns that will shake up this pattern are out there: It is known that carriers – at some point – will resume Red Sea transits, which will at first trigger congestion that will absorb capacity, but then release even more supply once the delays unwind, increasing the overcapacity challenge. And geopolitical disruptions that could close shipping lanes, or sudden trade war shifts that could drive sudden demand spikes (or collapses) are all too plausible.

If these or other disruptions arise in the next few years, shippers will lament higher prices, but also be grateful that carriers have the available capacity to keep containers moving nonetheless.

You can catch our Global Freight Outlook webinar every month, or sign up for our weekly international freight update, here.

Judah Levine

Head of Research, Freightos Group

Judah is an experienced market research manager, using data-driven analytics to deliver market-based insights. Judah produces the Freightos Group’s FBX Weekly Freight Update and other research on what’s happening in the industry from shipper behaviors to the latest in logistics technology and digitization.

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Walmart AI Pricing Patents Signal Shift Toward Real-Time Retail Execution

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Walmart Ai Pricing Patents Signal Shift Toward Real Time Retail Execution

Walmart’s new patents and digital shelf rollout point to a more tightly integrated model linking demand forecasting, pricing, and store-level execution.

Walmart has secured two patents related to automated pricing and demand forecasting, drawing attention to how large retailers are evolving their pricing and execution capabilities.

One patent, System and Method for Dynamically Updating Prices on an E-Commerce Platform, covers a system that can dynamically update online prices based on changing market conditions. A second, Walmart Pricing and Demand Forecasting Patent Classification, relates to demand forecasting technology designed to estimate what customers will buy and recommend pricing accordingly. At the same time, Walmart is expanding digital shelf labels across its U.S. stores, replacing paper labels with centrally managed electronic displays.

Individually, none of these elements are new. Retailers have long used forecasting models, pricing tools, and store execution processes. What is notable is the combination.

Walmart now has three capabilities aligned:

Demand forecasting tied to predictive models

Price recommendation based on that demand

Store-level infrastructure capable of rapid execution

That combination reduces the operational friction historically associated with pricing in physical retail.

Pricing Moves Closer to Execution

Traditional store pricing changes required coordination across multiple steps: analysis, approval, printing, distribution, and manual shelf updates. That process introduced delay and inconsistency.

Digital shelf labels materially change that constraint. Prices can be updated centrally and executed across stores with significantly less manual intervention.

This does not change the underlying logic of pricing decisions. Retailers have always adjusted prices based on demand, competition, and margin targets. What changes is the speed and consistency of execution.

As a result, pricing moves closer to real-time operational control.

Implications for Supply Chain Operations

Pricing is not an isolated commercial function. It directly influences demand patterns, inventory flow, replenishment timing, and markdown activity.

When pricing becomes faster and more responsive, those linkages tighten.

Three implications are clear:

1. Increased Execution Speed
Retailers can align pricing decisions more quickly with current demand conditions, reducing lag between signal and action.

2. Stronger Dependence on Forecast Accuracy
When pricing recommendations are driven by predictive models, the quality of demand sensing becomes more consequential. Forecast errors can propagate more quickly into sales and inventory outcomes.

3. Closer Coupling of Merchandising and Supply Chain
Pricing decisions influence demand. Demand impacts inventory, replenishment, and store execution. Faster pricing cycles compress the distance between these functions.

Centralization and Control

Walmart has positioned its digital shelf label rollout as an efficiency and accuracy initiative. Centralized price management improves consistency between systems and store execution while reducing labor tied to manual updates.

That positioning aligns with the operational realities of large-scale retail. At Walmart’s footprint, even small improvements in execution efficiency translate into material cost and accuracy gains.

At the same time, the shift toward algorithm-supported pricing introduces standard enterprise control requirements. Organizations need clear governance around how pricing recommendations are generated, reviewed, and executed, particularly as systems become more automated.

A Broader Technology Pattern

Walmart’s patents are best understood as part of a broader shift in supply chain and retail technology.

AI and advanced analytics are moving closer to operational decision points. Forecasting models are no longer confined to planning environments; they are increasingly connected to systems that can act.

In this case, that connection spans:

Demand sensing

Price recommendation

Store-level execution

The result is a more tightly integrated operating model in which commercial decisions and supply chain execution are linked through software.

What This Signals

The significance of Walmart’s move is not tied to public debate over surge pricing scenarios. The underlying development is structural.

Retailers now have the ability to connect demand forecasting, pricing logic, and execution infrastructure into a faster decision loop.

For supply chain leaders, that represents a clear direction:

Execution is becoming more digital, more centralized, and more tightly coupled to predictive models.

The companies that benefit will be those that can align forecasting, pricing, and operational execution within a controlled, coordinated system.

The post Walmart AI Pricing Patents Signal Shift Toward Real-Time Retail Execution appeared first on Logistics Viewpoints.

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Supply Chain and Logistics News March 16th-19th 2026

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Supply Chain And Logistics News March 16th 19th 2026

This week’s installment of Supply Chain and Logistics news includes stories about record increases in oil prices, Rivian’s autonomous taxis, and much more. Firstly, the Trump administration has issued a 60-day waiver of the Jones Act, a century-old regulation that requires goods moved between US ports to be transported by US-built vessels, etc. Additionally, this week Uber & Rivian announced a partnership for Rivian to build 50,000 autonomous robotaxis by 2031 with over a billion dollars in investment from Uber. Schneider Electric and EcoVadis announced a partnership to target emissions in the health care sector. Lastly, DHL announces 10 warehousing sites to be used for data center manufacturing capacity, and Mind Robotics raises 100 million in series A funding.

Your Biggest Stories in Supply Chain and Logistics here:

Trump Administration Issues Pause on Century-old Maritime Law to Ease Oil Prices

The Trump administration has issued a 60-day waiver of the Jones Act. This century-old regulation typically requires goods moved between US ports to be carried on vessels that are US-built, US-owned, and US-crewed. However, with oil prices surging toward $100 a barrel due to escalating conflict in the Middle East, the suspension aims to ease logistics for vital commodities like oil, natural gas, and fertilizer. While the move is intended to lower costs at the pump and support farmers during the spring planting season, it has sparked a debate between those seeking immediate economic relief and domestic maritime unions concerned about the long-term impact on American shipping and labor.

Uber and Rivian Partner to Deploy up to 50,000 Fully Autonomous Robotaxis

Uber and Rivian have announced a massive strategic partnership that signals a major shift in the future of autonomous logistics and urban mobility. Under the terms of the deal, Uber is set to invest up to $1.25 billion in Rivian through 2031, a move specifically tied to the achievement of key autonomous performance milestones. The primary focus of this collaboration is the deployment of a specialized fleet of fully autonomous R2 robotaxis, with an initial order of 10,000 vehicles and an option to scale up to 50,000 units. From a supply chain perspective, this represents a significant commitment to vertical integration; Rivian is managing the end-to-end production of the vehicle, the compute stack, and the sensor suite, including its in-house RAP1 AI chips, while Uber provides the scaled platform for deployment. Commercial operations are slated to begin in San Francisco and Miami in 2028, eventually expanding to 25 cities globally by 2031.

Schneider Electric and EcoVadis Announce Partnership to Decarbonize Global Healthcare Supply Chains

Schneider Electric, a major player in the digital transformation of energy management and automation, and EcoVadis, a provider of business sustainability ratings, have announced a strategic partnership aimed at accelerating decarbonization within the healthcare industry. “Energize” is a collective initiative to engage pharmaceutical industry suppliers in climate action. The collaboration focuses on addressing Scope 3 emissions, those generated within a company’s value chain, which often represent the largest portion of a healthcare organization’s carbon footprint. By combining Schneider Electric’s expertise in energy procurement and sustainability consulting with EcoVadis’s supplier monitoring and rating platform, the partnership provides a structured pathway for pharmaceutical and medical device companies to transition their global suppliers toward renewable energy.

Mind Robotics, a Rivian spin-off, raises $500 million in Series A Funding

RJ Scaringe, CEO of Rivian, is positioning his new $2 billion spin-off, Mind Robotics, as a technological solution to the chronic shortage of manufacturing labor in the Western world. By developing a “foundation model” that acts as an industrial brain alongside specialized mechatronic bodies, the company aims to move beyond the rigid, fixed-motion plans of traditional robotics toward systems capable of human-like reasoning and adaptation. Scaringe emphasizes that while these machines must perform with human-level dexterity, they don’t necessarily need to be humanoid in form; instead, the focus is on creating a data-driven “flywheel” within Rivian’s own facilities to lower production costs and help domestic manufacturing remain globally competitive.

DHL Expands North American Logistics Infrastructure Amid Growing Global Demand for Data Center Logistics Services

DHL is significantly scaling its data center logistics (DCL) footprint in North America, announcing the addition of 10 dedicated sites totaling over seven million square feet of warehousing capacity. This expansion is a direct response to the explosive demand for AI-driven infrastructure and the specific needs of hyperscale and colocation data center operators. By offering specialized services like rack pre-configuration, white-glove handling of sensitive IT hardware, and warehouse-to-site transportation, DHL is positioning itself as an end-to-end partner in a sector where 85% of operators express a preference for a single logistics provider. This move not only addresses the logistical complexities of moving high-value components like GPUs and cooling systems across global borders but also underscores the critical role of integrated supply chains in maintaining the build speed of the digital backbone.

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How to Capitalize Quickly to Address Hyperconnected Industrial Demand

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How To Capitalize Quickly To Address Hyperconnected Industrial Demand

This first in a blog series offers a review of discussion that occurred during ARC Advisory Group’s 2026 Industry Leadership Forum. Specifically, it details a keynote conversation held with senior executives from Rolls-Royce, BTX Precision, and MxD.

The New Fabric of Demand: Modernizing Collaboration and Transparency for Real-Time Production

Industrial leaders have been talking about tearing down workflow and data silos for decades. Yet here we are again. For most, the reality is that most operations and supply chains today typically don’t indicate much progress. A few leaders have figured out how to use digital tools to scale and build pathways forward, a whopping 12.9% according to our latest data (yes, that’s sarcasm). However, even as they struggle to coordinate, orchestrate, and innovate across their operations and enterprise, much less tightly collaborate outside their four walls. In a digital world, this continued capability gap, the inability to closely link market signals to responsive production and external supply chains, is very quickly becoming a liability.

Recently, at the 30th Annual ARC Industry Leadership Forum in Orlando, I had the privilege of leading a keynote discussion entitled The New Fabric of Demand: Modernizing Collaboration and Transparency for Real-Time Production. As part of that, I moderated an excellent conversation that included Global Commodity Executive Greg Davidson of Rolls-Royce, CEO Berardino Baratta of MxD, and CRO Jamie Goettler of BTX Precision.

In this four-part series, we will explore that conversation fully, digging into how the “fabric of market demand” has fundamentally changed, and why structural modernization, both human and technological, is no longer just an option. It is an industrial imperative that will increasingly determine who wins in disrupted markets.

Why Legacy Workflow Will Actually Get Modernized

If we examine the present through the lens of the past, the fundamental laws of supply and demand haven’t really changed. What has changed is the hyperconnectivity of the world and our compressed time to both reward and volatility.

The hard truth is that legacy linear workflows simply do not work in hyperconnected, digitally-driven environments, which are non-linear by nature. As our industrial environments become more digital, they naturally open up countless new ways for how things can get done and how risk can enter the organization. As a result, disruption has shifted from a rare event to a fairly continuous and pervasive reality. In this new reality, responsiveness differentiates you from the competition, and lag time kills.

To survive and thrive in non-linear environments, tighter, integrated ecosystems are required, where silos are actively torn down or redesigned so that barriers to value can be continuously identified and quickly eliminated. At the core, this concept is unfolding around data access, contextualization, and sharing. It provides the urgency behind the need for building industrial data fabrics.

This rewiring certainly extends beyond operations and enterprise processes, enabling the entirety of the supply chain to be judged on its collective responsiveness to the market, all the way down to the individual company level. In this scenario, data can quickly point out laggards who limit value. As the orchestrators of these supply chains identify these limitations on value, they quickly break off and discard the connection and move on without these weak links.

Pillars of the New Fabric of Demand

To achieve necessary level of operational and supply chain responsiveness, the roles of every entity within an ecosystem must be rethought. In the subsequent three blogs of this series, we will take a deep dive into the three distinct pillars that make up this modern architecture, but I’ll begin by laying them out here:

The Market Signal is the catalyst of the entire ecosystem. It dictates the “what” and the “when,” defining what value, success and risk look like in real-time. In blog 2, I’ll explore how to move from reactive assumptions to proactively capturing the market signals that actually matter.
The Demand Architect is moving beyond traditional order-taking. The Demand Architect designs and orchestrates the ecosystem, aligning external partners as true extensions of the enterprise. In blog 3, I’ll discuss the structural agility required to lead this response, rather than just manage a process.
The Agile Partner is the engine of execution. The Agile Partner links supply chain dynamics directly to the shop floor, differentiating themselves through their responsiveness to the market signal. In the final blog in the series, I’ll tackle how data transparency and trust become technical requirements, not just buzzwords, without exposing mission-critical IP.

Building the Modern Industrial Enterprise

Legacy workflows cannot survive in a non-linear world. Industrial organizations must re-architect operations and ecosystems for real-time responsiveness and secure, transparent collaboration. To do so, they will need to:

Improve the measurement of responsiveness: Efficiency and margin-squeezing are important, but they aren’t game-changers. Your competitive edge now relies on how quickly you can adapt to market signals.
Embrace transparency over secrecy: Modern collaboration requires providing a contextualized “lens” into production status without compromising proprietary IP or cybersecurity. Industrial data fabrics are key.
As always, view technology as a tool, not an outcome: Industrial data fabrics are needed to break silos and AI to manage complexity and improve accuracy and speed of decisions. However, the age-old adage remains true. Just because you can apply AI to something doesn’t mean you should. It must be grounded in measurable Value on Investment (VOI), not just return.

The New Fabric of Demand Blog Series

This is the first in a series of four on The New Fabric of Demand: Modernizing Collaboration and Transparency for Real-Time Production. Over the coming days, I’ll publish a perspective from each of the three pillars of the new fabric of demand:

Pillar 1: The Market Signal
Pillar 2: The Demand Architect
Pillar 3: The Agile Partner

By Mike Guilfoyle, Vice President.

For more than two decades, Michael has assisted organizations, including numerous Fortune 500 companies, in identifying and capitalizing on growth opportunities and market disruption presented by the effects of digital economies, energy transition, and industrial sustainability on the energy, manufacturing, and technology industries.

The post How to Capitalize Quickly to Address Hyperconnected Industrial Demand appeared first on Logistics Viewpoints.

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