IN Brief:
- Water scarcity is increasingly affecting production capacity, shipping reliability, and inland transport resilience across global supply chains.
- Supply chain leaders need to map suppliers, logistics routes, infrastructure exposure, and climate projections against water-related operational risk.
- Better analytics, machine learning, and AI can help planners detect emerging constraints earlier, but they must support human judgement rather than replace it.
By Steffen Schulze-Selting, Vice President, Value Engineering at Sphera
Over the last five years, global supply chains have faced significant disruptions caused by water scarcity. Taiwan’s 2021 drought forced TSMC, the world’s largest chipmaker, to truck in water to keep production lines running. The Panama Canal imposed drought limits in 2022 and again faced restrictions in 2025 as rainfall failed to arrive. In May 2025, Taiwan experienced the worst drought in four decades, and reports indicated that leading foundries reduced short-term capacity by 15–20%.
Hydrological volatility is now shaping the reliability of both maritime and inland transport routes. The Panama Canal moves around 6% of global trade, so even modest operational constraints ripple quickly through shipping schedules and freight rates. Inland river systems face similar pressures, with low flows forcing load reductions or full diversions to longer, more expensive routes. When companies hold limited inventories and rely on tight transit windows, these interruptions manifest as delays and can severely impact revenue.
The cumulative effect is a supply chain model that’s increasingly misaligned with the water systems it depends on.
Where water shortages hit hardest
Many industrial processes are water-intensive, and some of the most economically significant sectors are among the most exposed. Making semiconductors demands high-quality process water in continuous supply, and when that supply tightens, output declines. Food and agriculture are equally vulnerable. Droughts can shutter processors and disrupt packing schedules, as shown when Thomas Foods scaled back operations in South Australia due to water shortages and reduced livestock supply. Broadly, the frequency of extreme weather events has risen, altering the once-predictable seasons that businesses and planners relied upon.
Water availability is still too often viewed through an environmental lens, rather than as a core operational risk. Effective planning begins with systematic analysis, which means mapping suppliers and logistics routes against hydrological stress and climate projections, along with local infrastructure capacity. This mapping cannot be static. Each supplier requires a risk profile that is updated as conditions change, combining exposure insights with the organisation’s own dependency on that supplier or route.
This is where better data and analytics can make a meaningful difference. Machine learning and artificial intelligence help organisations connect climate-related risk signals with what is happening across their operations, giving them valuable lead time when conditions start to tighten. When those models integrate climate indicators with transactional supply chain data, planners can spot constraints earlier and begin weighing alternative sourcing or routing scenarios before disruption sets in. Technology cannot remove the need for human judgement, but it can give teams the clarity and speed they need to make well-considered decisions.
Why businesses must act now
Water scarcity is increasingly determining production capacity and distribution reliability, and that has a direct bearing on financial performance. Organisations that build water availability into contingency planning put themselves in a stronger position as pressure grows. That approach depends on better data and deeper supplier engagement so that physical hydrology influences sourcing decisions and investment priorities.
Climate-driven droughts are now recurring, and their impact on trade is becoming more predictable. Recognising water scarcity as a structural risk allows leaders to shift from short-term problem-solving to deliberate, data-informed adjustments in sourcing and capacity planning. Organisations that begin detailed risk mapping today and support it with improved analytics and closer coordination with suppliers will be better equipped as hydrological stress intensifies.
In the years ahead, water availability will play as much of a role in supply chain design as cost or capacity, and early action will strengthen an organisation’s ability to operate in a more constrained environment.
This article originally appeared in the February 2026 edition of IN Supply. Read the full issue here.
