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By subscribing, you will gain access to expert analyses and forward-thinking approaches designed to empower you to adapt and grow in the dynamically evolving landscape of commercial insurance.
the emerging challenges and opportunities presented by five transformative trends shaping commercial insurance in 2025, and how Veridion empowers insurance professionals and carriers to navigate and capitalize on them:
Artificial Intelligence (AI) Becomes Integral to Insurance Operations
Climate-Conscious Underwriting
Shifting Towards Embedded Insurance Models
The Growing Importance of Geopolitical Risk Management in Insurance
The Rising need of AI Talent
More than 76% of insurers have implemented generative AI in at least one function, revolutionizing risk assessment, fraud detection, and pricing strategies. As AI integration matures, insurers must navigate challenges related to transparency, regulatory compliance, and data governance. proactively adapt to these changes to avoid disruptions and maintain compliance.
With insured losses surpassing $100 billion in 2024, the need for real-time ESG data has never been greater. Insurers must enhance their risk evaluation models to accommodate increasing environmental and regulatory pressures while developing innovative coverage solutions such as parametric insurance.
The embedded insurance model is reshaping distribution strategies, especially for small and medium-sized businesses (SMBs). 30% of new embedded insurance partnerships in 2023 targeted SMBs, enabling seamless integration of coverage into operational workflows. However, challenges such as classification accuracy and data standardization remain key obstacles to scalability.
Veridion delivers decision-grade, real-time business data to support commercial insurance innovation. By combining comprehensive firmographics, ESG insights, and risk intelligence, Veridion empowers insurers to the streamline the core activities , such as underwriting and risk management, as well as enable product innovation and strenghten ESG compliance.
Veridion’s Normalization & Enrichment Service ensures high-quality data by cleansing, standardizing, de-duplicating, and enriching business records. This ensures insurers have access to accurate, verified, and comprehensive profiles, significantly improving workflow efficiency. With this service, underwriters can save an average of 20 minutes per case, reduce manual data validation efforts, and ensure no critical claims risks are overlooked due to incomplete or inaccurate policyholder data.
Veridion’s Search Service scans companies’ online presence to identify changes in business risk exposures, such as involvement with hazardous materials or high-risk activities. Our robust search functionality uncovers hidden risks by analyzing locations, products, services, and operational models, enabling underwriters to conduct thorough risk assessments and tailor coverage more precisely. This proactive approach leads to accurate premium calculations and better customer outcomes, ultimately enhancing satisfaction.
Stay ahead of industry shifts shaping commercial insurance in 2025
Understand how AI, climate risks, and embedded insurance models impact underwriting
Leverage real-time data solutions to optimize risk assessment and decision-making
AI is transforming underwriting, claims processing, and fraud detection, but without accurate, real-time data, even the best models fall short. Discover how AI-powered high-quality business descriptions, industry classifications and dynamic risk insights can give you a better understanding of the business and identify hidden risks.
ESG factors are reshaping risk assessment, yet many insurers struggle to integrate them effectively. Find out how Veridion’s real-time ESG data can enhance climate-conscious underwriting and portfolio resilience.
Geopolitical shifts, trade disruptions, and cyber threats make risk assessment more complex than ever. See how Veridion’s real-time location intelligence, firmographics, and technographics can give insurers the clarity they need.
For years, commercial insurance was considered too intricate for embedded models—but that’s no longer the case. See how Veridion can solve the classification challenges, data gaps, and scalability issues.
