InsurTech’s funding recovery is real — and it is overwhelmingly artificial intelligence that is driving it. Global insurtech investment reached $943.4 million across 42 deals in the first quarter of 2026, a 27% year-on-year increase, according to data compiled in Gallagher Re’s quarterly InsurTech intelligence report. Approximately 75% of new capital flowed to companies with AI at the core of their product proposition — a share that has roughly doubled since 2023 and signals a structural reorientation in what institutional investors and carrier strategic partners are prepared to fund. Europe’s AI-native distribution activity is already visible: in France, LesFurets embedded ChatGPT to deliver live insurance quotes through a four-question conversational flow — the first European comparison platform to operate inside an LLM interface.
The numbers: $943M, 42 deals, and a $33.7M average for AI rounds
North America led with approximately 52% of deal count; APAC recorded the fastest growth, up 38% year-on-year; Europe contributed around 25%, led by the UK and France. Mega-rounds of $50 million or above accounted for approximately 60% of total capital deployed, reflecting investor confidence in backing established AI-native platforms at larger cheques rather than spreading capital across early-stage experiments.
The valuation premium for AI-positioned companies is the most significant structural data point in the quarter. The average deal size for AI-focused rounds was approximately $33.7 million, compared to $14.2 million for non-AI rounds — a ratio above 2:1 that has been widening since Q2 2025. Underwriting automation and AI-assisted claims settlement were the most funded sub-sectors, followed by parametric insurance and embedded distribution platforms. Total insurtech investment for full-year 2025 was approximately $3.4 billion; Q1 2026 is the strongest single quarter since the post-2021 correction and running above the 2025 full-year pace.
Why non-AI insurtechs are struggling to raise in this cycle
The funding concentration in AI rounds is reshaping which companies are competitive in fundraising. Traditional aggregator, affinity, or distribution-only models without an AI layer faced structurally difficult raise environments in Q1 — not because the underlying businesses are broken, but because the investment community has recalibrated its thesis around AI-driven unit economics. The threshold has also risen: investors are scrutinising whether a startup’s AI claims are core to its margin structure or a marketing overlay on a conventional insurance technology stack. Companies that cannot demonstrate AI-driven improvement in combined ratio, claims cycle time, or customer acquisition cost are being priced at legacy multiples.
The carrier demand environment reinforces this dynamic. Global P&C carriers are simultaneously managing a softening commercial lines cycle — Aon’s Q1 2026 results showed flat-to-negative rate movements in several property classes — while facing cost pressures that make AI-driven efficiency tools attractive regardless of premium market conditions. InsurTech investment functions as a leading indicator of where carriers see operational bottlenecks that external capital and talent can solve faster than internal build teams. In this cycle, those bottlenecks are in underwriting speed, claims automation, and distribution reach — precisely the areas AI-native platforms address.
The governance dimension is also becoming a filter. APRA’s AI governance guidance for insurers and equivalent frameworks from MAS and IRDAI are influencing how carrier partnership desks evaluate AI vendor relationships. Insurtechs that cannot demonstrate explainability, audit trails, and regulatory compliance architecture are finding that carrier partners — who increasingly require regulatory clearance for AI vendor deployments — are reluctant to commit to commercial agreements, regardless of the technology’s capability.
The APAC signal — and what the capital concentration means for Q2
The APAC growth signal deserves particular attention. The 38% year-on-year funding increase in the region follows Ping An’s Q1 2026 results, in which agentic AI agents generated approximately $4.2 billion in new insurance sales in a single quarter — a commercial proof point of a scale that no Western carrier has yet matched. For institutional investors in Singapore, Hong Kong, and Sydney, that data point accelerates conviction that AI-native insurance distribution has proven commercial viability, not just theoretical potential, in the world’s fastest-growing insurance market. In Europe, Lassie’s $75M Series C applies the same agentic logic to claims settlement, closing 60% of pet insurance claims in under six minutes.
Looking ahead, Gallagher Re’s Q2 2026 InsurTech report — due in July — will indicate whether the AI funding concentration broadens into health and life insurance automation, where Q1 investment lagged P&C equivalents despite representing a larger premium base. Market observers are also watching for the first wave of AI-native insurtech IPO filings in 2026, which would provide the first public market valuation benchmarks for the post-2023 AI insurance cohort. EIOPA’s expected AI governance guidelines for EU carriers in H2 2026 will additionally shape how European insurtechs structure compliance architectures for carrier partnership deals — a framework shift that could either open or close deal pipelines in the region’s largest markets. Incumbent multilines are scaling their own AI programs in parallel: AXA CEO Thomas Buberl’s confirmed mandate through 2030 includes accountability for AI deployment across 400+ insurance value-chain use cases and a quantified 10% productivity improvement target.
