Using Technology to Reinvent an Industry Built on Old Data

Technology Meets a Traditional Industry

Insurtech applies technology to insurance, an industry long built on established methods, aiming to improve how risk is priced, how insurance is sold, and how claims are handled. Insurtech startups use new sources of data to price risk more accurately, digital channels to sell insurance more easily, and software to handle claims faster and more smoothly, seeking to improve an industry often seen as slow and customer unfriendly.

The promise is to reinvent insurance with technology, pricing risk better with more and better data, making buying insurance easy and digital rather than cumbersome, and paying claims quickly and painlessly. But insurtech has learned that insurance is fundamentally about bearing risk, holding capital against claims, and operating within heavy regulation, which technology can improve but not fundamentally change, so the reinvention has been more about improving the experience and the pricing than about transforming the underlying business of bearing risk.

What Insurtech Improves

Insurtech applies technology to several parts of the insurance business, improving each.

New data sources, from devices, sensors, and other digital information, let insurtech price risk more accurately, tailoring prices to individual risk better than traditional methods. Digital distribution makes buying insurance easier, online and streamlined rather than through slow traditional channels. And technology makes claims faster and smoother, improving the often painful claims experience. These improvements make insurance better priced, easier to buy, and less painful to claim, addressing real weaknesses in the traditional industry and improving the customer experience, which is where insurtech has made genuine progress.

The Hard Reality

Insurtech has run into the hard reality that insurance is fundamentally about bearing risk, holding capital against claims, and managing regulation, which technology improves but does not transform. An insurer must hold capital to pay claims, bear the risk that claims exceed premiums, and operate within heavy regulation, all of which remain regardless of how good the technology is.

Insurtech startups that priced risk aggressively to grow, or that underestimated the capital and risk involved, learned that mispricing risk leads to losses when claims come, since the fundamental business is bearing risk correctly. Many insurtech startups struggled or failed when their pricing proved too optimistic and claims exceeded expectations, discovering that technology and growth do not substitute for correctly bearing risk and holding adequate capital. The regulation of insurance also constrains what insurtech can do, since insurers must be licensed, hold capital, and comply with rules, limiting the disruption technology alone can achieve. This hard reality, that insurance is about risk, capital, and regulation, has tempered the insurtech promise, showing that technology can improve the industry but not escape its fundamentals, which is a lesson many insurtech startups learned painfully.

The Models That Emerged

In response, insurtech has developed in ways that combine technology with the realities of insurance, rather than trying to escape them. Some insurtech companies became full insurers, holding capital and bearing risk while using technology to do it better, learning to manage the fundamentals alongside the technology. Others became technology providers to traditional insurers, supplying the software and data capabilities while the established insurers bear the risk and hold the capital, a model that applies the technology without taking on the insurance fundamentals.

This division, between insurtech that bears risk as insurers using technology and insurtech that provides technology to insurers, reflects the learning that technology and risk bearing are different, and that succeeding requires either mastering the insurance fundamentals or focusing on the technology and leaving the risk to others. The technology provider model has been safer, since it avoids the risk of bearing insurance risk, while the full insurer model offers more potential reward but requires mastering the fundamentals that tripped up many startups. The evolution of insurtech toward these models reflects the maturing recognition that improving insurance with technology must respect the fundamentals of risk, capital, and regulation, combining the technology with the realities of the business rather than assuming technology alone can transform it.

The Bottom Line

Insurtech applies technology to insurance, improving how risk is priced with new data, how insurance is sold through digital channels, and how claims are handled, making genuine progress on the experience and the pricing of an industry often seen as slow and unfriendly. But it has learned that insurance is fundamentally about bearing risk, holding capital, and managing regulation, which technology improves but does not transform, and many insurtech startups struggled when they mispriced risk or underestimated the capital and regulation involved. Insurtech has evolved toward models that combine technology with the realities of insurance, some becoming full insurers using technology, others providing technology to traditional insurers, reflecting the recognition that improving insurance must respect the fundamentals of risk, capital, and regulation rather than assuming technology alone can transform it.