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What is Insurtech? – Understanding, Criticism and More – 2023

What is Insurtech? – Understanding, Criticism and More – 2023


Insurtech refers to the usage of technology innovations designed to squeeze out savings and competence from the current insurance manufacturing model. Insurtech is a mixture of the words “insurance” and “technology,” inspired by fintech.

The belief driving insurtech companies and savings by venture capitalists in the space is that the insurance business is ripe for innovation and disruption.

Insurtech explores avenues that large insurance firms have less incentive to exploit, such as offering ultra-customized policies, social insurance, and using new data streams from Internet-enabled devices to dynamically price premiums according to observed behaviour.

Insurtech is a term like a fintech for a corporation using technology to disturb the insurance industry.

Understanding Insurtech


  • Insurance is an ancient business, one of the oldest financial companies, and it tends to favour those with deep pockets and long experience in the market.
  • Traditionally, broad actuarial tables use to allocate policy seekers to a risk category.
  • The group is then adjusted, so sufficient people are lumped together to ensure that its policies are profitable.
  • This approach does, of course, consequence in some people paying more than they should be based on the fundamental equations of data used to group people.
  • Among other things, insurtech look to tackle this data and analysis issue head-on.
  • We are using inputs from all devices of the devices, counting GPS tracking of cars to our wrists’ activity trackers.
  • These companies are building more finely outlined groupings of risk, allowing products to price more competitively.
  • In addition to healthier pricing models, insurtech startups test the waters on a host of potential game-changers.
  • These comprise using deep learning trained artificial intelligence (AI) to handle brokers’ tasks and find the right mix of policies to complete an individual’s coverage.
  • There is also interest in using apps to pull disparate policies into one platform for management and monitoring, creating on-demand insurance for micro-events like borrowing a friend’s car.
  • We adopt the peer-to-peer model to create customized group attention and incentivize positive choices through group rebates.
  • And also, the global insurtech market expects to grow 41% annually between 2019 and 2023.

Criticism of Insurtech

  • Although many of these novelties are long overdue, there are reasons why the incumbent cover companies are so reluctant to adapt.
  • Insurance a highly regulated industry with numerous layers of jurisdictional legal baggage to deal with it.
  • As such, significant companies survive this long by being incredibly cautious.
  • Which has complete them cautious away from working with any startups—let alone startups in their own, very stable industry.
  • It is a bigger problem than it sounds, as many of the insurtech startups still require traditional underwriters to handle underwriting and manage catastrophic risk.
  • That said, as more insurtech startups gather consumer interest with a refined model and a user-friendly approach.
  • They may find that the obligatory players warm to the impression of insurtech and become interested in buying up some of the innovation.

How Does Insurtech Work?

  1. Since insurtech is new by definition, its requests are constantly evolving. Generally speaking, insurtech streamlines improve back-end processes, improve customer experience, and protect the insurance company money.
  2. One concern around insurtech is the issue of privacy. Insurance companies retain sensitive info about their customers, so any new technology that’s introduced must have robust security protocols.
  3. Chatbots and smartphone apps are instances of how insurtech streamlines the backend procedure. Insurance companies no longer essential to hire customer service employees to reply to every customer’s concern.
  4. Many can answer by chatbots that automatically respond to inquiries day and night. In addition to abridging the customer service experience, this also saves the business money.
  5. Smartphone apps recover customer experience, as well. Instead of printing out photocopies of licenses and other paperwork, a customer can snap a picture with their phone and submit it through the app.
  6. And also, it saves time and capitals for both the customer and the company.

Types of Insurtech


Here are some of the shared types of insurtech you could expect to see used by an insurance company. Some of these technology pieces will eventually be phased out by newer technology, while others will evolve and remain an essential aspect of insurtech.

1. Artificial Intelligence

  • Artificial intelligence (AI) mentions software that can achieve functions generally associated with humans, such as reasoning and learning.
  • Chatbots, which are essentially computer agendas that can communicate with customers orally or through the manuscript, are examples of AI insurtech.

2. Machine Learning

  • Another kind of insurtech is machine learning, which is a subcategory of AI. As its name advises, machine learning is a skill that enables machinery to “learn” over time.
  • It utilizes algorithms to mimic neuronal networks in the human brain. Machine learning lets computers obtain knowledge by extracting patterns from raw data rather than following specific instructions.
  • Insurance companies gather large amounts of data, but companies without insurtech utilize as little as 10% of that data.
  • Machine knowledge enables insurers to mine their data more effectively and extract valuable info. Here are some habits insurers are using (or will likely use) machine learning.

Risk Modelling: Analyzing claims data to predict the risk of future losses.

Demand Modelling: Using mathematical models to estimate premiums and predict future demand for products.

Detecting Fraud: Identifying fraudulent behaviour patterns with machine learning isn’t apparent to human adjusters.

Processing Claims: Automating claim reporting and processing.

Underwriting: Using machine learning to assistance underwriters analyze data collected from applicants, flagging mistakes, and verifying the accuracy.

3. Internet of Things

  • Another kind of insurtech is the Internet of Things (IoT). This term refers to regular machines (like refrigerators and televisions) that connect to the internet.
  • An example of IoT is telematics, electronic devices in vehicles to collect, receive, store, and transmit data ended a network.
  • Many businesses that own fleets of vehicles prepare them with GPS-enabled devices. These devices can track the vehicles’ locations and degree driving speeds, braking patterns, acceleration, and other habits.
  • Commercial auto insurers can use usage data from the devices to provide discounts, improve safety, and analyze accidents.
  • Like Fitbits and Apple Watches, wearable technology is another example of IoT that could use in insurtech. And also, insurers could offer an enticement for customers who wear these technologies while driving.

4. Smartphone Apps

  • Smartphone apps in insurtech can design for customers, businesses, or both. Insurance company apps have streamlined the insurance procedure for people on both flanks of the transaction.

5. Drones

  • Some insurers use drones, especially property insurers. Drones can inspect stuff when it would be hazardous to send humans to study, like rooftops and disaster areas.
  • And also, casualty insurers might discover a use for drones to inspect and photograph an auto accident site. This technology can assistance make your workplace safer, too.


Insurtech is the use of technology novelties designed to make the current insurance classical more efficient.

Through technology such as data analysis and AI, insurtech lets products be priced additional competitively.

There are breezes for insurtechs, notably regulation issues and a reluctance of recognized insurers to work with them.

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