Data Owners '25: Insurance, Claims & Catastrophe Risk (open on stockthemes)

1. Munich Re NatCatSERVICE / Swiss Re Institute — Global Natural Catastrophe Losses

Matched (medium)cand_swiss_re_institute_cbd80d8a · candidate

Metric/field Insured Losses from Natural Catastrophes (USD billion)

Cadence quarterly

Why it matters Directly impacts demand for catastrophe modeling, reinsurance, and claims data, signaling market conditions for theme members. Global catastrophe losses were tracking below $100 billion for the first time since 2020 in H1 2026, but Swiss Re projected 2026 insured nat-cat losses could rise to roughly $148 billion on trend.

Signal to watch Increasing insured losses indicate higher demand for risk assessment and claims processing solutions.

Confidence: high

2. AM Best / NAIC / S&P Global Market Intelligence — P&C Insurance Industry Combined Ratio

Matched (medium)s_p_global_trade_supply_chain_data · access=file · map_only

Metric/field U.S. Property & Casualty Combined Ratio (percentage)

Cadence quarterly

Why it matters Indicates the profitability of the P&C insurance industry. Improved combined ratios can lead to carriers prioritizing growth over profitability, impacting pricing power for data vendors.

Signal to watch Declining combined ratios (improving profitability) may lead to increased investment in growth-oriented data solutions; rising ratios (worsening profitability) may lead to cost-cutting and focus on efficiency tools.

Confidence: high

3. BEA / FRED — National Income and Product Accounts (NIPA)

Matchedit_equipment_software_investment · access=api

Metric/field Private Fixed Investment: Nonresidential: Intellectual Property Products: Software (B985RC1Q027SBEA)

Cadence monthly

Why it matters Directly reflects business investment in software, a core offering for companies like Guidewire, Verisk, and RELX's Risk segment.

Signal to watch Increasing investment in software indicates a healthy demand environment for theme members' products and services.

Confidence: high

4. National Association of Insurance Commissioners (NAIC) / S&P Global Market Intelligence — U.S. Auto Insurance Industry Performance

Matched (medium)s_p_global_trade_supply_chain_data · access=file · map_only

Metric/field U.S. Auto Insurance Direct Written Premiums Growth (Year-over-Year) / Auto Loss Ratio

Cadence quarterly

Why it matters Directly impacts auto insurance data owners like Progressive (PGR) and Allstate (ALL), and auto claims platforms like CCC Intelligent Solutions (CCC).

Signal to watch Growth in premiums and stable/improving loss ratios indicate a healthy market for auto insurance data and analytics providers.

Confidence: medium

5. Marsh — Global Insurance Market Index

Matchedmarsh_insurance_pricing_benchmark · access=file · map_only

Metric/field Global Commercial Property Insurance Pricing Index (Quarterly Change)

Cadence quarterly

Why it matters Influences pricing power for data vendors in commercial lines and reflects market conditions for many theme members, including brokers like Aon (AON) and Marsh McLennan (MRSH), and carriers like Chubb (CB) and Travelers (TRV).

Signal to watch Hardening market (rising prices) suggests insurers may be more willing to invest in data for underwriting and risk selection; softening market (falling prices) may lead to increased focus on cost efficiency.

Confidence: high

1. Google Trends — Web Search Interest

Not in registry

Metric/field Search interest for 'insurance data analytics' + 'catastrophe modeling software' + 'claims management software' (Worldwide)

Cadence daily

Why it matters Indicates broad market and industry interest in the core solutions provided by theme members.

Signal to watch Sustained or increasing search interest suggests growing demand and relevance for these technologies.

Confidence: medium

2. Reddit — Subreddit Activity

Matched (medium)cand_reddit_subreddit_ea54cd78 · candidate

Metric/field r/insurancetech - Post Volume and Sentiment

Cadence daily

Why it matters Provides insights into discussions on new insurance technology, AI applications, cloud adoption in P&C, and sentiment around major vendors like Guidewire and Verisk.

Signal to watch Increased positive sentiment and discussion volume around AI, cloud, and specific vendors indicate strong industry engagement and potential adoption.

Confidence: medium

3. National Hurricane Center (NHC) / NOAA — Tropical Cyclone Outlooks and Seasonal Forecasts

Matched (medium)cand_noaa_c5bc41c3 · candidate

Metric/field Atlantic Hurricane Season Outlook (Named Storms, Hurricanes, Major Hurricanes)

Cadence daily

Why it matters Provides forward-looking context for catastrophe risk, directly impacting demand for catastrophe modeling and reinsurance services from companies like Verisk (VRSK), Moody's (MCO) RMS, Aon (AON), Munich Re (MUV2.XETRA), and Swiss Re (SREN.SW).

Signal to watch Above-average forecasts for tropical cyclone activity signal potential for higher catastrophe losses and increased demand for risk assessment tools.

Confidence: high

4. SEC EDGAR — Company Filings (8-K)

Not in registry

Metric/field Full-text search for 'AI partnership', 'cloud migration', 'catastrophe model' in 8-K filings for theme constituents

Cadence event_driven

Why it matters Reveals strategic partnerships, major customer wins, or significant product developments related to AI, cloud adoption, and catastrophe modeling by theme members.

Signal to watch Increased mentions of new AI partnerships, significant cloud migration deals, or enhancements to catastrophe models indicate strategic progress and potential revenue drivers.

Confidence: high

5. Company Investor Relations / Newsroom Pages — Press Releases / News Announcements

Matched (medium)cand_company_investor_relations_newsroom_c041b775 · candidate

Metric/field New product launches, significant customer wins, strategic initiatives related to data, AI, and risk (e.g., Verisk Synergy Studio, Lexis+ AI, Guidewire PricingCenter)

Cadence event_driven

Why it matters Directly communicates company-specific developments that can impact future performance and market positioning, such as the launch of Verisk Synergy Studio or the adoption of Guidewire's AI-powered products.

Signal to watch Announcements of successful product adoption, new client acquisitions, or expanded capabilities signal positive business momentum.

Confidence: high

1. YipitData / Apptopia — Software Usage Data

Matched (medium)apptopia_app_usage_engagement · access=file · map_only

Metric/field Percentage of Guidewire Cloud Platform (GCP) customers actively using AI-powered features (e.g., ProNavigator, PricingCenter)

Cadence monthly

Why it matters Measures the adoption and engagement with Guidewire's new, high-growth AI products, validating their AI strategy and potential for future ARR contributions.

Signal to watch Consistent growth in the percentage of customers utilizing AI features indicates successful product integration and value creation.

Confidence: medium

2. Thinknum — Job Postings Data

Matched (medium)engine_advertising_brand_tracking · access=file · map_only

Metric/field Job postings for 'AI Engineer', 'Machine Learning Scientist', 'Data Scientist' at Verisk, RELX, Guidewire, Moody's, Aon, Marsh McLennan

Cadence weekly

Why it matters Indicates investment and hiring trends in critical AI and data capabilities across theme members, reflecting their commitment to innovation and growth in these areas.

Signal to watch Increasing job postings for AI/ML roles suggest strategic investment and expansion in AI-driven solutions.

Confidence: high

3. LexisNexis Risk Solutions — Insurance Claims Data (Aggregated/Anonymized)

Matchedlexisnexis_public_records_identity_business_data · access=file · map_only

Metric/field Claims frequency and severity trends by peril and line of business (e.g., auto collision claims, property damage claims)

Cadence monthly

Why it matters Provides granular insights into claims activity, directly relevant to Verisk (VRSK), RELX (LexisNexis Risk Solutions), CCC Intelligent Solutions (CCC), Progressive (PGR), Allstate (ALL), and the broader insurance claims market.

Signal to watch Changes in claims frequency or severity can indicate shifts in risk profiles, impacting underwriting and claims management data demand.

Confidence: high

4. S&P Global Mobility / Ptolemus Consulting Group — Telematics Data Adoption and Usage

Matched (medium)ramp_ai_adoption · access=scrape

Metric/field Percentage of new auto insurance policies utilizing telematics / Miles driven by telematics-enabled vehicles

Cadence weekly

Why it matters Measures the penetration and utilization of usage-based insurance, a key growth driver for data owners like Progressive (PGR) and Allstate (ALL) (Arity), and a source of rich driving behavior data.

Signal to watch Increasing adoption rates and miles driven indicate growing demand for telematics data and analytics.

Confidence: high

5. Gartner / Forrester — AI in Insurance Market Research Reports

Matchedforrester_technology_market_forecasts · access=file · map_only

Metric/field Global AI in Insurance Market Size & Growth Forecast / AI Adoption Rates in Underwriting and Claims

Cadence annually

Why it matters Provides an overarching view of the theme's growth potential, reflecting the increasing integration and monetization of AI across underwriting, claims, and risk management by theme members.

Signal to watch Upward revisions in market size forecasts or accelerating adoption rates indicate a strong growth trajectory for AI in insurance.

Confidence: high

1. Will data center power-cost standards become law? (Before Jul 1, 2027)

Kalshi · Confidence: high

Matched (medium)pm_kalshi_ddr5_ye2027_above_95 · access=api

Market https://kalshi.com/markets/kxratepayerlaw

Why it matters Data centers are fundamental to the operations of theme constituents like Verisk, RELX, and Guidewire, which rely on extensive data processing and storage for their insurance, claims, and catastrophe risk analytics. Regulation around power-cost standards could directly impact their operational expenses. Favorable standards could reduce costs, while unfavorable ones could increase them, affecting profitability and stock prices.

Series key pm_datacenter_power_cost_standards_law

2. When will AI score above 65 on Artificial Analysis Intelligence Index? (Any AI model from any lab)

Kalshi · Confidence: high

Matched (medium)pm_kalshi_ddr5_ye2027_above_95 · access=api

Market https://kalshi.com/markets/kxaascore

Why it matters The 'Data Owners: Insurance, Claims & Catastrophe Risk' theme is heavily focused on AI integration and monetization by companies like Verisk (XactAI, Anthropic connectors), Guidewire (PricingCenter, ProNavigator), and RELX (Lexis+ AI). An increase in general AI capabilities, as measured by this index, could accelerate the development and adoption of advanced AI solutions within the insurance sector, potentially boosting demand for these companies' offerings and their stock prices.

Series key pm_ai_analysis_intelligence_index_score

3. Will the U.S. ban any open-source AI model in 2026? (Before Jan 1, 2027)

Kalshi · Confidence: high

Matched (medium)pm_kalshi_ddr5_ye2027_above_95 · access=api

Market https://kalshi.com/markets/kxopensourceaiban

Why it matters Regulation of AI is a key policy driver for the theme, as highlighted by 'AI in insurance regulation' search keywords. Many theme constituents, including Verisk, Guidewire, and RELX, are heavily investing in and deploying AI solutions. A ban on open-source AI models could restrict the tools and frameworks available for AI development, potentially increasing development costs, slowing innovation, or forcing companies to rely more on proprietary models. This could materially impact their operational efficiency and competitive landscape.

Series key pm_us_opensource_ai_ban