Skip to main content

The era of the European insurtech IPO will soon be upon us

Once the uncool sibling of a flourishing fintech sector, insurtech is now one of the hottest areas of a buoyant venture market. Zego’s $150 million round at unicorn valuation in March, a rumored giant incoming round for WeFox, and a slew of IPOs and SPACs in the U.S. are all testament to this.

It’s not difficult to see why. The insurance market is enormous, but the sector has suffered from notoriously poor customer experience and major incumbents have been slow to adapt. Fintech has set a precedent for the explosive growth that can be achieved with superior customer experience underpinned by modern technology. And the pandemic has cast the spotlight on high-potential categories, including health, mobility and cybersecurity.

Fintech has set a precedent for the explosive growth that can be achieved with superior customer experience underpinned by modern technology.

This has begun to brew a perfect storm of conditions for big European insurtech exits. Here are four trends to look out for as the industry powers toward several European IPOs and a red-hot M&A market in the next few years.

Full-stack insurtech continues to conquer

Several early insurtech success stories started life as managing general agents (MGAs). Unlike brokers, MGAs manage claims and underwriting, but unlike a traditional insurer, pass risk off their balance sheet to third-party insurers or reinsurers. MGAs have provided a great way for new brands to acquire customers and underwrite policies without actually needing a fully fledged balance sheet. But it’s a business model with thin margins, so MGAs increasingly are trying to internalize risk exposure by verticalizing into a “full-stack” insurer in the hope of improving their unit economics.

This structure has been prevalent in the U.S., with some of the bigger recent U.S. insurtech IPO successes (Lemonade and Root), SPACs (Clover and MetroMile), and more upcoming listings (Hippo and Next) pointing to the prizes available to those who can successfully execute this expensive growth strategy.



from TechCrunch https://ift.tt/3xyvja9
via IFTTT

Comments

Popular posts from this blog

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT