# Verisk Analytics, Inc. > Clarifo company profile — qualitative business description generated from > the company's filings. Financial statements, charts and ratios are > available on Clarifo (https://www.clarifo.com/en/companies/Verisk Analytics, Inc.). ## Overview Verisk Analytics is a U.S.-based data, analytics, and technology company focused on the insurance ecosystem. It provides proprietary data assets, statistical models, software platforms, and decision-support tools used in underwriting, claims, catastrophe modeling, weather risk, and specialty insurance workflows. ## Products & services • Underwriting data, rules, and loss cost services • Claims analytics, fraud, and property estimating tools • Catastrophe, weather, and exposure management models • Specialty insurance software and workflow platforms • Life and annuity producer licensing and onboarding tools • Global risk analytics and decision-support solutions - **Underwriting Solutions** (56%) — Data, models, and software used for rating, pricing, and underwriting insurance risk. - **Claims Solutions** (24%) — Tools for claims handling, fraud detection, repair estimating, and injury analytics. - **Specialty Business Solutions** (12%) — Software for specialty insurance and reinsurance workflows, including placement and claims. - **Life and Annuity Solutions** (5%) — Producer licensing, onboarding, appointment, and compliance tools for life insurance. - **Other Risk Analytics** (3%) — Catastrophe, weather, exposure, and niche analytics products sold across insurance markets. - Underwriting data, rules, and loss cost services - Claims analytics, fraud, and property estimating tools - Catastrophe, weather, and exposure management models - Specialty insurance software and workflow platforms - Life and annuity producer licensing and onboarding tools - Global risk analytics and decision-support solutions ## Customers Verisk sells primarily to insurers, reinsurers, brokers, managing general agents, and other participants in the insurance value chain. Its largest customers are organized into tiers, with the biggest U.S. and global insurance groups receiving executive-level account management, while smaller specialty firms are served through business-unit sales teams. - **Tier One insurance clients** (primary) — The largest insurers and global accounts that buy multiple integrated solutions across underwriting, claims, and specialty workflows. - **Tier Two large and middle-market clients** (primary) — Mid-sized insurers and specialty firms that purchase selected analytics, software, or claims products. - **Tier Three specialty clients** (secondary) — Smaller or niche companies that buy a single product line or regional solution. - **P&C insurers** (primary) — Buy rating, underwriting, claims, catastrophe, and fraud analytics to improve risk selection and claims handling. - **Life and annuity carriers** (secondary) — Buy producer licensing, onboarding, appointment, and compliance tools to automate distribution workflows. - **Brokers, reinsurers, and MGAs** (secondary) — Buy specialty software for placement, policy administration, and reinsurance processing. - Property and casualty insurers buying underwriting and claims tools - Reinsurers and brokers using specialty placement and workflow software - Managing general agents and cover holders needing policy administration tools - Life and annuity carriers using licensing, onboarding, and compliance solutions - Large Tier One accounts requiring integrated, enterprise-wide solutions ## Geography Verisk operates primarily in the United States, where it serves much of the property and casualty insurance market. It also sells specialty insurance software and analytics internationally, with a notable presence in London and broader global specialty markets. Its products are used across North America, Europe, and other insurance centers, so geography matters mainly through customer location, regulatory regimes, and local insurance workflows. - Primary exposure is the U.S. property and casualty insurance market - London is a key hub for specialty insurance software and workflows - Products are also sold across Europe and other global insurance centers - International expansion supports specialty and niche analytics offerings ## Strategy Verisk’s strategy centers on embedding its data and analytics into customer workflows so that clients use multiple products across underwriting, claims, and specialty operations. It also expands through acquisitions and product integration, adding niche datasets and workflow software that deepen customer relationships and broaden its insurance platform. - **Deepen workflow integration** (medium-term) — Embedded tools are harder to replace and support multi-product adoption. - **Expand specialty and life insurance offerings** (medium-term) — These areas broaden the addressable market beyond core P&C analytics. - **Add differentiated data and models** (long-term) — Proprietary datasets and models are the core source of product value. - **Grow internationally in specialty markets** (medium-term) — Global specialty insurance markets provide additional workflow and software demand. - Embed solutions into customer workflows to increase switching costs - Cross-sell across underwriting, claims, specialty, and life solutions - Expand niche data assets and third-party models to broaden coverage - Use acquisitions to add capabilities and deepen international reach - Maintain strong relationships with large insurance accounts ## Risks Verisk depends on the quality, security, and relevance of its data and models, so errors, model limitations, or cyber incidents could damage customer trust and product adoption. It also faces strong competition from insurers’ internal systems, software vendors, consulting firms, and InsurTech providers, while AI-related features add privacy, bias, and intellectual property risks. - **Model risk and analytical error** [high] — Customers rely on Verisk outputs for underwriting, claims, and catastrophe decisions, so inaccurate models can reduce trust and create losses. - **Cybersecurity and data privacy breaches** [high] — The business stores and processes sensitive insurance and proprietary data across internal and third-party systems. - **AI-related compliance and reputational risk** [medium] — New AI features can introduce bias, privacy, security, and intellectual property concerns. - **Competitive pressure** [medium] — Customers can use internal resources or alternative vendors, which can pressure pricing and retention. - **Customer concentration and renewal risk** [medium] — Large Tier One clients buy multiple products, so loss of a major account could affect revenue. - Model outputs may differ from actual insurance outcomes - Cybersecurity breaches could expose proprietary and customer data - AI features may create privacy, bias, or IP issues - Competition from internal tools and InsurTech providers is intense - Customer concentration in large insurance accounts raises renewal risk ## Accounting Verisk’s results depend heavily on estimates for goodwill, intangible assets, acquisition purchase price allocations, and stock-based compensation, all of which can materially affect reported earnings. Revenue recognition and allowance for doubtful accounts matter because the company sells integrated software and data services to long-term customers, while lease, pension, and tax estimates also affect comparability across periods. - **Goodwill and intangible assets** — Can materially affect operating income and net income - **Acquisition purchase price allocation** — Impacts earnings pattern after acquisitions - **Revenue recognition** — Affects quarterly revenue comparability - **Allowance for doubtful accounts** — Affects net revenue and working capital - **Pension and postretirement assumptions** — Affects operating expense and balance sheet - Goodwill and intangibles require impairment and amortization judgments - Acquisition purchase price allocations affect future amortization - Revenue recognition depends on contract structure and service timing - Allowance for doubtful accounts affects receivables and earnings - Pension, tax, and stock compensation estimates affect reported profit --- *Last updated: 2026-08-11T04:03:56.228997+00:00*