Tackling the protection gap
Insurance remains one of the most effective tools available for managing climate-related risk. Property, business interruption, liability and specialty insurance products continue to provide critical financial protection against many of the most severe consequences of natural catastrophes. For most organizations, insurance remains the cornerstone of climate resilience and recovery. Yet, as global heating reshapes the nature of loss, it is testing the assumptions on which the insurance market has historically relied.
Traditional actuarial techniques rely on historical data of experienced events to predict the probability that future losses will occur. But as temperatures soar, rainfall levels increase, and weather becomes more extreme, the past becomes an increasingly unreliable predictor of the future.
This problem is further compounded by the complex nature of climate-related risks, which typically manifest not as a single, clearly identifiable event, but through a combination of losses – including physical damage, operational disruption, supply-chain dependencies, and gradual environmental change. As a result, many climate-related exposures – such as drought-related revenue impacts, reduced agricultural yields, water scarcity, gradual environmental change, and commodity-price volatility – remain difficult to insure through conventional markets.
As a result, a growing proportion of losses either remain uninsured entirely, or fall outside the scope of conventional insurance policies. According to figures from Munich Re, natural disasters caused estimated worldwide losses of USD 112bn during the first half of 2026, of which just USD 44bn were insured. A protection gap of around 60 percent, this reflects a growing mismatch between the way climate-related losses arise and the way insurance has historically been structured. And even where risks are insured, claims can often take years to resolve – exposing organizations to prolonged periods of uncertainty.
At the same time, the cumulative cost of global heating is placing the insurance market under increasing pressure, which is intensifying insurer scrutiny. Buyers are increasingly facing questions around location choice, construction standards, resilience measures, supply-chain dependencies, and business continuity planning. For certain perils and regions, organizations are already experiencing reduced capacity, higher deductibles, tighter sub-limits, and rising premiums.
Organizations may suffer significant financial losses despite experiencing little or no recoverable physical damage under conventional policies.
New perils and new models
As these perils intensify, insurers are developing new ways to quantify future risk. In part, this involves placing greater emphasis on forward-looking analysis in order map potential exposure, a practice known as catastrophe modelling. Catastrophe models begin estimating the probability of a given event occurring, before running simulations to generate a catalogue of potential events. From these, the models will assess the physical impact of those events on a given portfolio, which are then translated into damage and, ultimately, financial loss. The result is a probability distribution of future losses.
To model the impacts of climate change, researchers combine these modelling approaches with projected changes to the climate – such as increased temperatures, or higher rainfall volumes – to produce revised estimates. In this way, it is becoming increasingly possible to estimate the extent to which an existing portfolio could be affected by different future climate scenarios. In all, this represents a fundamentally different approach to assessing risk. Instead of “what happened”, insurers are increasingly asking, “what could realistically happen in the future, and how likely is it to occur?”
Certain hazards are harder to model than others. Earthquakes and hurricanes are the most mature modelling disciplines, being the largest traditional drivers of loss. In the case of wildfires, although the spread of a fire is relatively predictable, prediction ignition remains challenging. This is because wildfire events are often started by people, including campfires, power lines, or industrial and agricultural activity – factors which make the historical record less useful. Flood events present yet another obstacle: to accurately model the flow of water across large volumes of detailed data, which is largely impossible without powerful elevation models, weather simulations, and hydrological modelling.
Ultimately, the ability to model losses under specific climate-change scenarios is an emerging capability, and adoption across the industry is still in its infancy. But whereas climate preparedness once relied on judgement, modelling techniques are increasingly being used to equip organizations with an objective view of their future exposure. In turn, this supports organisations to decide how much risk they wish to retain, and how much they want to transfer.
Parametric solutions
The same advances in data, catastrophe modelling and risk quantification are also making new forms of insurance possible. By improving the ability to assess the probability of future events, and to measure them objectively when they occur, these tools have helped drive the growth of parametric insurance, one of the fastest-evolving areas of climate-related risk transfer.
Parametric coverage is structured around measurable parameters, such as rainfall levels, wind speeds, or temperatures. Unlike traditional insurance, which pays out based on the actual loss incurred, parametric insurance provides a pre-agreed payout when a defined trigger is reached. These triggers can be calibrated to correspond to varying levels of disruption; typically, the lower the threshold and the greater probability of a given weather event, the greater the premium paid by an insured.
By restricting cover to only the probability of a parameter threshold being breached, underwriters can reduce uncertainty and expand the provision of insurance into areas of high risk. As a result, parametric insurance is increasingly available for a wide range of climate-related exposures. Particularly innovative applications have emerged around hail risk, where payouts can be linked to independently measured hailstone size, and wildfire risk, where cover can respond to proximity to a burn scar or deteriorating air-quality conditions.
The advantages of parametric insurance:
- Rapid access to capital following extreme weather. Because payouts are determined by predefined triggers rather than a potentially lengthy loss-adjustment process, funds can be made available quickly after a qualifying event.
- Greater certainty around recovery. Policyholders know in advance the conditions under which the policy will respond, and the amount they will receive if those conditions are met.
- More flexibility in how funds are deployed. As payouts are not tied directly to the value of the loss incurred, organizations can use the proceeds where they are needed most, whether to support immediate recovery, rebuild operations, or invest in longer-term resilience.
- Broader applicability for climate-related risks. Exclusions are typically limited, and policies can often be structured and bound quickly to address emerging or difficult-to-insure weather exposures.
Parametric insurance is especially useful where a risk becomes difficult to insure through traditional markets. This may occur because a peril is perceived to be too severe, capacity is limited, or losses arise through disruption rather than direct physical damage. Examples include transmission and distribution networks, renewable-energy projects dependent on weather conditions, or hospitality businesses exposed to fluctuations in tourism following extreme weather events. In many cases, parametric insurance draws on separate pools of capital from those used by conventional property insurers, enabling clients to access additional capacity alongside their existing insurance programmes, rather than in place of them.
Historically, parametric insurance has been viewed as a last-resort option due to its cost and availability. But organizations are increasingly incorporating parametric insurance into their broader risk management strategies – a trend bolstered by stable pricing in recent years. Despite this, the solution remains a complement to traditional insurance, rather than a replacement. Trigger design remains critical, and must be carefully aligned with the organization’s underlying exposure. If the trigger is set too high, a business may experience meaningful disruption without receiving a payout; if it is set too low, the policy may not accurately reflect the financial impact of an event.
Alternative risk solutions
More broadly, organizations are exploring a wider range of alternative risk-transfer solutions as part of a more sophisticated and integrated approach to risk management. By blending approaches, businesses can retain certain risks while transferring more volatile and severe exposures to wider insurance and capital markets. The objective is not simply to secure additional cover, but to improve resilience against increasingly complex natural catastrophe exposures.
For some organizations, this begins with a captive: an insurance company owned and controlled by the business it insures. By establishing a captive insurer, businesses can internalize difficult-to-place risks, and thereby gain greater control over pricing, coverage, and risk retention. Alternatively, for organizations that lack the scale or resources to establish their own captive vehicle, cell-captives provide another solution. Under a cell-captive arrangement, a business effectively rents part of a wider captive program by operating its own insulated risk compartment within a larger insurance entity.
For larger organizations, multi-line and multi-year programs are also becoming increasingly popular. By consolidating risk into a single insurance program over several years, organizations can reduce exposure to price fluctuations – for instance, following a period of extreme weather – and adopt a more strategic approach to their risk financing. This can be particularly valuable for climate-related risks, many of which evolve over long time horizons rather than through isolated events. Other mechanisms, including industry loss warranties (ILW) and pre-loss financing arrangements, can provide additional protection against major catastrophe events, and help to smooth the financial impact of large losses over time. The latter, which allows buyers to stagger losses across multiple years, has proved particularly useful for companies looking to quickly restart operations in the wake of short-tail risks.
Alternative sources of capacity are also playing a growing role. Catastrophe bonds, initially developed to address situations where the reinsurance market struggled to absorb the full scale of catastrophe risk, transfer exposure to capital market investors in exchange for a return. While historically dominated by insurance and reinsurance companies, catastrophe bonds are increasingly being considered by governments, public authorities and other organizations seeking protection against climate-related perils.
Meanwhile, contingent business interruption (CBI) cover is evolving to reflect the growing complexity of global supply chains. Some programs are extending coverage beyond direct (‘tier-one’) suppliers, while others are incorporating parametric triggers to provide faster access to capital following disruption. Vehicle manufacturers leaned heavily on CBI insurance during the 2011 earthquake and subsequent tsunami in Tōhoku, Japan, as widespread flooding incapacitated multiple suppliers of specialized automotive components. Together, these developments illustrate the growing shift towards more flexible and diversified approaches to financing climate-related risk.