Insurtech companies are transforming how insurance products reach consumers, blending AI-driven underwriting with digital-first marketing strategies. For marketers, the insurance vertical offers lessons in data-driven personalization, embedded distribution, and customer acquisition at scale. This FAQ covers what insurtech is, how insurers are spending on digital advertising, and what agencies and marketers should know when approaching insurance clients in 2026.
Insurtech refers to technologies that automate and enhance insurance processes to reduce costs and improve efficiency. The term combines "insurance" and "technology" and encompasses everything from digital quoting platforms to AI-driven claims processing.
The category has evolved from simple online interfaces to sophisticated systems that reshape how insurance is designed, sold, and managed. Key technologies include generative AI for underwriting and customer service, telematics for usage-based pricing, and blockchain for claims automation.
Insurtechs operate across multiple models: some are full-stack carriers that control the entire insurance value chain, while others provide B2B infrastructure to incumbent insurers. Consumer-facing insurtechs like Lemonade and Root have reached meaningful scale, though profitability remains challenging.
Insurtech spans several distinct models, each addressing different parts of the insurance value chain:
US insurance industry digital ad spending will reach $16.98 billion in 2026, a 12.7% increase year over year, according to an August 2025 EMARKETER forecast. Insurance now accounts for 34.5% of total financial services digital ad spending, leading banking, payments, and securities.
Insurance maintains a comfortable lead over other financial services categories in digital ad share and will hold that position through 2027. Ad spending will remain strong in part because the category is insulated from tariffs.
AI adoption in insurance is widespread but shallow. 67% of insurers are testing genAI programs, but only 7% have scaled them, near the bottom of all industries studied in a BCG survey. Another 27% haven't started at all.
AI-powered assistants handle initial claims intake and policy questions, though personalized product recommendations remain in early pilots. Forty-four percent of insurers using genAI in underwriting expect 16% to 20% cost savings over the next two years, per a March 2025 EY-Parthenon survey.
Progress on customer-facing AI trails back-office automation. Most insurers prioritize underwriting and claims, although Allstate uses OpenAI's GPT models to draft claims emails with a softer tone than human reps.
Some major insurers, like Great American and Chubb, are asking U.S. regulators for permission to exclude AI-related liabilities from corporate policies, due to potential inaccuracies in AI chatbot results that could trigger lawsuits.
Funding constraints and profitability pressures are reshaping the insurtech landscape:
The insurtech landscape includes both consumer-facing carriers and B2B infrastructure providers:
Consumer-facing carriers:
B2B and infrastructure:
Insurance marketing is shifting toward digital discovery and embedded distribution. Agencies and marketers working with insurance clients should consider several trends:
We prepared this article with the assistance of generative AI tools and stand behind its accuracy, quality, and originality.
EMARKETER forecast data was current at publication and may have changed. EMARKETER clients have access to up-to-date forecast data. To explore EMARKETER solutions, click here.
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