Catalysing Business Engagement in Early Warning Systems 2025
Page 11 of 21 · WEF_Catalysing_Business_Engagement_in_Early_Warning_Systems_2025.pdf
2.2 Current state of business engagement in EWS
The following insights emerge by analysing the
survey of 20 businesses, reviewing relevant
literature and conducting interviews.
Insight 1: Most businesses engage with EWS
primarily as users
The role of businesses as users of weather, climate
and water data has expanded significantly in
recent years. A joint survey by the IBM Institute
for Business Value and Oxford Economics, which
included 1,000 executives across 13 industries in
15 countries, revealed that most executives view
better weather insights as a key factor in reducing
operating costs and ensuring business continuity.17
Nearly 50% of respondents recognized weather
insights as a source of competitive advantage. In
the US alone, 95% of businesses rely on weather
information.18 However, while businesses increasingly
understand the value of weather-related insights,
they are not generally sophisticated users of this
information. This means they elect to work with
tailored third-party insights derived from weather
data rather than directly with the weather data itself.
The fact that many businesses use EWS data is
consistent with several recent findings (including by
the World Economic Forum19) that most businesses
do not invest in minimizing their physical climate risk
exposure. Weather data used to optimize routine
operations (e.g. ship routing) is not seen as risk
mitigation. Neither are risk assessments, which
require weather data, or data used for developing
or refining new products or services. The use of
weather data seems to be aligned with these cases.
Insight 2: Businesses have multifaceted
relationships with NMHS
Businesses that engage in EWS often develop
diverse and bespoke relationships with NMHS.
They sometimes function simultaneously as users,
partners, vendors and innovators. This means they
not only provide products and services to NMHS,
but also rely on NMHS data to develop customer-
facing solutions. Businesses often collaborate
with NMHS by offering feedback, helping to refine
the quality and utility of weather data, which
improves both their commercial offerings and public
sector services.
Businesses often grow into these relationships,
realizing that as vendors or innovators, they can
work towards becoming partners and further
harness the EWS value chain to drive innovation, capitalize on new market opportunities and position
themselves as leaders in climate risk management.
For instance, a weather information and service
company exemplifies the multifaceted relationships
businesses can have with NMHS. The company
operates across the hydrometeorological value
chain. As partners, they collaborate on projects
such as installing high computing capabilities in
EWS networks and integrating weather data in
EWS. As vendors, the company supplies advanced
weather monitoring equipment, station networks
and software solutions.
Insight 3: There are a growing number of
“innovators”, as defined in section 2.1
The global weather industry is experiencing
substantial growth. The integration of EWS data
across industries is helping companies manage
operational risks while creating opportunities for
innovative services that improve resilience and
reduce costs. As demand for these solutions grows,
businesses across multiple sectors are increasingly
using weather-related data to drive profitability and
long-term sustainability.
In the past 5 to 10 years, entirely new categories
of products and services have been created by
combining weather data with other data and
sophisticated technology. Agriculture has been
a particular focus – companies are providing
sophisticated, real-time added value assessments
of the impacts of weather, climate and water risks
on agricultural production.
In insurance, the understanding of natural disaster
risk has become much more precise, enabling the
development of novel products. This is particularly
evident through the growth of “parametric”
products, i.e. those that issue payouts after certain
objective indicators are reached rather than after a
loss-adjustment procedure.20
While agriculture and insurance may see the most
innovation, the opportunity cuts across industries.
One company has developed an offering to help
communities improve their standing within the
Federal Emergency Management Agency’s (FEMA)
Community Rating System (CRS), a voluntary
incentive programme that rewards communities
for reducing flood risks.21 Another example refers
to the advanced wildfire detection systems that are
being used by forestry and electricity companies,
among others.95%
of businesses in the
US rely on weather
information.
Catalysing Business Engagement in Early Warning Systems
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