Barriers and Drivers of InsurTech Adoption

Even though lending and payments startups have been the hottest over the course of the FinTech revolution in terms of the number of companies that raised funds, we have been predicting that InsurTech is becoming a hot topic and sector for bright entrepreneurs to develop disruptive solutions. Investors also have been paying attention to the sector, as the insurance industry is the biggest industry in the US with net premiums of $1.1 trillion in 2014. There is already a range of InsurTech companies paving their way to a trillion-dollar industry, and HealthTech is an important sector to follow as it may completely change the way we look at health insurance in the near future.

However, even InsurTech can face certain obstacles on its way to democratize insurance. Along with obstacles, there are also factors to facilitate InsurTech adoption. Let’s look at the groups of those factors.

Factors to serve as adoption barriers

One of the inhibitors for the adoption of any technology replacing a human – like the AI Evia – could be a demand from the customers to interact face-to-face with another human. The desire for social interactions can’t be diminished even in the face of more efficient operations and a better offering.

Another problem could be related to the significantly increased flow of data that could overload the systems and cause quality and privacy issues, cyberattacks, which would result in a rollback to decision-making based on intuition.

The environmental factor can never be dismissed as it is something that is not dependent on any action of people and not controlled by insurers. In case of an environmental disaster combined with the inability to predict the catastrophe beforehand based on data, chances are insurers will drop the unprofitable offerings.

Some believe that we live in a regionalized world where products are tailored to serve the population in a specific region. With InsurTech, the case may be that some regions and populations will be in advantageous positions and be able to use advanced and cheaper insurance services compared to other regions. It may deepen the exclusion and serve as a factor to drive inequality in the quality of life.

Last, but not the least is a regulatory burden factor. Governments have a complex and cumbersome legislation related to insurance, which can serve as a barrier for innovators to make a difference. The high cost of compliance can negatively affect profitability and drive InsurTech companies which are potentially beneficial for the population out of the business. Fortunately, RegTech can make a difference in this area.

Factors to drive adoption

One of the factors that could significantly facilitate adoption is social consolidation when self-formed and self-organized groups of the population directly interact with insurance companies to negotiate a better offering.

Sophisticated and automated data collection and analytics can improve the decision-making process along with efficiency. It can also ensure tailored offerings, hence, improving the customer experience. Data scientists can have a significant impact on the productivity of those systems and create truly sophisticated protocols to brush through meaningful data and make the best decisions.

Insurance and risk analysis are closely related fields as an insurance choice is based on the estimation of risk. As InsurTech gains momentum, data-backed predictions on risk are becoming more relevant for efficient insurance estimation. There are important players in the field powering carriers and more will emerge in the nearest future.

Advanced data-focused, early-warning technologies and new risk transfer/sharing mechanisms can reduce the losses from environmental hazards and any other catastrophic events. Contrary to the complex regulatory burden on emerging players, governments that improve the legislation to ease the way of innovative solutions into the market will have a positive outcome for the population and overall industry.