Amid AI Boom, Verisk Launches New View of U.S. Data Center Exposure, Helping Insurers Assess Growing Concentrations of Risk

Verisk introduced a detailed U.S. data center exposure database, giving insurers building-level insights on over 2,500 facilities to analyze catastrophe and accumulation risk.

Rhea-AI Summary

Verisk (VRSK) launched a U.S. Data Center Exposure Database to help insurers, reinsurers and brokers assess growing concentrations of risk tied to expanding AI-driven digital infrastructure.

The database provides building-level geocoding, facility footprints, structural characteristics and operational attributes for more than 2,500 U.S. data center facilities. It includes flat-file records, building footprint shapefiles and a 90-meter disaggregation grid to support underwriting, exposure management, catastrophe analytics and portfolio accumulation within Verisk Synergy Studio and Touchstone. Industry sources cited indicate global data center insurance premiums could rise from about $10 billion in 2026 to $23 billion by 2030, reflecting rapid growth in facilities supporting AI, cloud and digital services.

Market Context

AI-tagged events averaged a -0.12% 24-hour move, adding a mixed historical benchmark to this databas...

Analysis

AI-tagged events averaged a -0.12% 24-hour move, adding a mixed historical benchmark to this database launch. Recent insider activity was net selling; Verisk’s active S-3ASR shelf remains an additional contextual risk to monitor.

Key Figures

Facilities covered: more than 2,500 facilities Global data center insurance premiums: approximately $10 billion Global data center insurance premiums: $23 billion +1 more

4 metrics

Facilities covered more than 2,500 facilities U.S. Data Center Exposure Database

Global data center insurance premiums approximately $10 billion 2026 industry estimate

Global data center insurance premiums $23 billion 2030 industry estimate

Disaggregation grid 90-meter disaggregation grid Database geospatial analytics capability

Previous AI Reports

5 past events · Latest: May 05 (Positive)

Same Type Pattern 5 events

Date	Event	Sentiment	24h Move	Catalyst
May 05	AI integration launch	Positive	+1.0%	Integrated Verisk insurance analytics into Anthropic’s Claude through MCP connectors.
Mar 23	AI industry conference	Neutral	-0.9%	Insurance conference addressed data, analytics, responsible AI and operational applications.
Mar 17	AI fraud research	Negative	-0.5%	Research reported rising consumer and insurer concerns about AI-manipulated claims.
Sep 30	AI claims tools	Positive	+1.1%	Launched XactAI tools for automated property-claims processing and documentation.
Sep 16	AI underwriting assistant	Positive	-1.3%	Introduced generative AI assistant for commercial property underwriting workflows.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-tagged announcements produced mixed reactions, with three aligned outcomes and two divergences.

Key Terms

geocoding, catastrophe modeling, shapefiles

3 terms

geocoding technical

"The database provides building-level geocoding, facility footprints"

Converting a street address, place name, or other location description into precise geographic coordinates (latitude and longitude), or the reverse process of turning coordinates into a readable address. Think of it as turning an address into a pin on a map so software can calculate distances, show clusters, or route vehicles. Investors care because geocoding supports site selection, logistics, sales territory analysis, risk mapping, and regulatory reporting, all of which affect costs and revenue potential.

catastrophe modeling technical

"support advanced geospatial analytics and catastrophe modeling applications"

Catastrophe modeling uses computer simulations to estimate how much financial loss a large disaster—such as a hurricane, earthquake, flood, or industrial accident—could cause to insured assets and portfolios. It combines historical data, scientific knowledge about hazards, and exposure details to generate many “what if” scenarios, much like stress‑testing a building against different storm paths. Investors use the results to judge potential losses, set reserves, price risk, and decide how much exposure to hold.

shapefiles technical

"building footprint shapefiles, and a 90-meter disaggregation grid"

A shapefile is a common digital file format used to store and exchange geographic vector data—points, lines and polygons—that represent real-world features like property boundaries, roads or resource deposits. Think of it as a layered digital map made of several linked files that together act like a blueprint for location-based information. Investors see shapefiles in reports and filings because they let analysts visualize assets, legal boundaries, zoning, and other spatial details that matter for valuation, project planning and regulatory checks.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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New resource provides building-level information on more than 2,500 U.S. data center facilities

BOSTON, Sept. 03, 2026 (GLOBE NEWSWIRE) -- Verisk (Nasdaq: VRSK), a leading strategic data analytics and technology partner to the global insurance industry, today announced a new U.S. Data Center Exposure Database designed to help insurers, reinsurers and brokers better understand and manage one of the fastest-growing concentrations of risk. The database provides building-level geocoding, facility footprints, physical characteristics and operational attributes for more than 2,500 facilities nationwide. The Verisk U.S. Data Center Exposure Database can be leveraged to support a range of use cases and workflows within Verisk Synergy Studio and Touchstone.  

The launch comes as artificial intelligence drives significant investment in digital infrastructure and demand for data center capacity worldwide. Industry sources indicate that global data center insurance premiums could more than double from approximately $10 billion in 2026 to $23 billion by 2030, reflecting the rapid expansion of facilities supporting AI, cloud computing, and digital services. 

AI Infrastructure Growth Is Creating New Concentrations of Risk 

Data centers are an emerging critical infrastructure risk. These facilities often house billions of dollars in physical assets and support essential business, government, and digital operations. Yet insurers may often rely on incomplete or inconsistent location data when assessing exposure concentrations, catastrophe risk and portfolio accumulations. Verisk's new database was developed to provide an in-depth view of this rapidly growing asset class.  

The Verisk U.S. Data Center Exposure Database includes detailed location, structural and operational information for facilities across the country, including:  

• rooftop-level geocoding 
• building footprint data
• construction type
• floor area
• capacity
• operational redundancy characteristics  

*Available data fields and levels of detail may vary by facility and source 

It includes flat-file records, building footprint shapefiles, and a 90-meter disaggregation grid to support advanced geospatial analytics and catastrophe modeling applications. The database is designed to support underwriting, exposure management, catastrophe analytics, and portfolio accumulation assessments.  

"AI is often discussed as a digital transformation story, but it is increasingly a physical infrastructure story,” said Rob Newbold, president of Verisk Catastrophe and Risk Solutions. “The facilities powering that growth represent billions of dollars in concentrated assets, and that has implications not only for insurers but also for reinsurers, investors and capital markets participants looking to understand and manage emerging sources of potential risk.”  

"Data centers have quietly become one of the largest and fastest-growing concentrations of insured value in the modern economy," said Jay Guin, executive vice president and chief research officer of Verisk Catastrophe and Risk Solutions. "Organizations are investing billions of dollars to support AI-driven growth, but many insurers are increasingly focused on understanding where these assets are located and how risk accumulates across regions and portfolios. If you can't identify the exposure, you can't effectively measure or manage it. This data set is designed to provide additional information to support those efforts." 

Verisk Answered Industry Demands for Insights into Data Center Exposure 

Verisk’s U.S. Data Center Exposure Database was developed as a tool to support industry demands for greater visibility into data center risk. 

“Data centers are ultimately physical facilities with real-world exposure to hurricanes, flooding, severe convective storms, earthquakes and other perils. As AI infrastructure continues expanding across the United States, understanding where those assets are located and how risks aggregate becomes increasingly important to insurers, businesses and communities alike," Guin concluded.  

The Verisk U.S. Data Center Exposure Database is available to insurers, reinsurers, brokers and other risk management organizations in Verisk’s catastrophe modeling software, Verisk Synergy Studio and Touchstone. 

Verisk’s U.S. Data Center Exposure Database is developed by AIR Worldwide Corporation, a wholly owned subsidiary of Verisk Analytics, Inc. 

### 

About Verisk 
Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry. It empowers clients to strengthen operating efficiency, improve underwriting and claims outcomes, combat fraud and make informed decisions about global risks, including climate change, extreme events, sustainability and political issues. Through advanced data analytics, software, scientific research and deep industry knowledge, Verisk helps build global resilience for individuals, communities and businesses. With teams across more than 20 countries, Verisk consistently earns certification by Great Place to Work. For more, visit Verisk.com and the Verisk Newsroom.  

Mary Keller 
339-832-7048 
mary.keller@verisk.com 

FAQ

What did Verisk (VRSK) announce about its new U.S. data center exposure solution?

Verisk introduced the U.S. Data Center Exposure Database, a resource that provides detailed building-level information on more than 2,500 U.S. data center facilities to help insurers, reinsurers and brokers better assess exposure, catastrophe risk and portfolio accumulations.

How many U.S. data centers are covered in Verisk's new exposure database for VRSK?

The Verisk U.S. Data Center Exposure Database includes building-level data for more than 2,500 data center facilities across the United States, offering location, structural and operational information for use in underwriting and risk analytics.

What type of data is included in Verisk's U.S. Data Center Exposure Database for VRSK?

The database contains rooftop-level geocoding, building footprints, construction type, floor area, capacity and operational redundancy characteristics, plus flat-file records, footprint shapefiles and a 90-meter disaggregation grid to support advanced geospatial and catastrophe modeling analyses.

How can insurers and reinsurers use the Verisk (VRSK) U.S. Data Center Exposure Database?

The database is designed to support underwriting, exposure management, catastrophe analytics and portfolio accumulation assessments. It integrates with Verisk’s catastrophe modeling software, including Verisk Synergy Studio and Touchstone, to improve insight into data center risk concentrations.

Why is Verisk focusing on data center exposure with this new VRSK database?

The company said AI and digital growth are turning data centers into rapidly growing concentrations of insured value, often with billions of dollars in assets. Many insurers rely on incomplete location data, so the database aims to improve visibility into where these facilities are and how risks aggregate.

What market trend related to premiums does Verisk highlight with its data center exposure launch for VRSK?

Industry sources cited indicate global data center insurance premiums could more than double, from about $10 billion in 2026 to $23 billion by 2030, reflecting fast growth in facilities that support AI, cloud computing and digital services.