What Is Insurtech?
Insurtech refers to the use of technology innovations designed to find cost savings and efficiency from the current insurance industry model. Insurtech is a combination of the words “insurance” and “technology,” inspired by the term fintech.
- Insurtech is the use of technology innovations designed to make the current insurance model more efficient.
- By using technology such as data analysis, IoT, and AI, insurtech allows products to be priced more competitively.
- Insurtech is used to more effectively process claims, evaluate risk, process contracts, or underwrite policies.
- Insurtech is similar to fintech, as both leverage modern solutions that are revolutionizing each respective traditional industry.
- There are headwinds for insurtechs, notably regulation issues and a reluctance of established insurers to work with them.
Insurtech is premised on the belief that the insurance industry is ripe for innovation and disruption. Insurtech is exploring avenues that large insurance firms have less incentive to exploit, such as offering ultra-customized policies, social insurance, and using new streams of data from Internet-enabled devices to dynamically price premiums according to observed behavior.
Regarding traditional insurance, some people pay more than they should be based on the basic level of data used to group people. Among other things, insurtech is looking to tackle this data and analysis issue head-on. Using inputs from all manners of devices, including geolocation tracking of cars to the activity trackers on our wrists, these companies are building more finely delineated groupings of risk, allowing products to be priced more competitively.
In addition to better pricing models, insurtech startups are testing the waters on a host of potential game-changers. These include using deep learning trained artificial intelligence (AI) to handle the tasks of brokers and find the right mix of policies to complete an individual’s coverage.
There is also interest in the use of 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, and the adoption of the peer-to-peer model to both create customized group coverage and incentivize positive choices through group rebates.
There are many similarities to the goals and implementations of insurtech and fintech, as both the insurance industry and financial industry are undergoing substantial process changes.
Importance of Insurtech
Insurtech plays an important part in changing how coverage is applied and paid for in a number of different ways:
- Insurtech enhances the customer experience. By leveraging technology, customers are more engaged in selecting their coverage, understanding their needs, and getting personalized service. Instead of having to travel to a branch or speak to a representative, the future of insurtech is moving towards self-serve, online dealings where customers have their choice of engagement channel.
- Insurtech promotes efficiency. Policy-seekers and policy-holders can often research and explore options using the internet and apps. Without having to wait for business hours or an available representative, many insurtech companies empower users to quickly access the information they need without being bogged down in processes.
- Insurtech emphasizes individuality. Due to the innovative nature of information gathering and data processing, many new tools (discussed below) are now available to better understand each individual’s true needs. This not only improves pricing but delivers more reliable, consistent coverage based on historical data.
- Insurtech improves flexibility. Modern insurtech offerings are more likely to have flexibile, customized, short-term, or transferrable plans. Instead of needing to lock into long-term arrangements, insurtech is more likely to give individuals specific coverage for a specific need over a specific duration.
- Insurtech reduces operating costs. Traditional insurance companies relied on brick-and-mortar locations that necessitated manual labor. Now, insurtech companies can operate remotely with staff engaging with customers around the world. The operating model of the online company is similar skimmer with less overhead.
- Insurtech may decrease fraud. By leveraging data, analytics, trend analysis, and machine learning, insurtech companies may be able to detect fraudulent activities if inconsistencies in data arises. In addition, big data may also be able to discover potential loopholes that insurers can seek to close to avoid exploitation.
What Insurance Areas Does Insurtech Solve?
The claims management process traditionally resulted in manually reviewing each claim, deciding what compensation to award, then remitting that compensation. Now, insurtech companies aim to build processes that automate certain processes and detect fraud.
Larger companies can leverage technology to gather and aggregate specific data points regarding specific claims. These claims may also be validated using automation by comparing different data streams. Last, large companies can use automation or repetitive workflows to pay out a large number of claims with minimal human intervention.
The underwriting process entails reviewing an individual’s profile, assessing their risk profile, and extending them an insurance package offer that includes their coverage. The information provided to a client also includes their monthly premium in addition to what compensation they may be entitled to under various claims.
Much of this data can be mined or gathered automatically. Even if a client must submit information, modern technology uses many data points to compare against historical data that can continually learn, grow, and make more educated assumptions. This means the data decides for itself whether to extend a policy to the individual and what price is fair for the associated level of risk.
Whether it’s related to paying out a claim, enforcing a different insurance level tier, closing a customer’s policy that has expired, or approving a new customer, there are a tremendous number of contracts that occur related to insurance.
When leveraging blockchain technology, smart contracts can be triggered to execute when specific criteria is met. This eliminates the human element for needing to handle the contract, and this allows an unbiased, neutral party (i.e. technology) to evaluate the criteria of a contract and decide the appropriate course of action.
As mentioned earlier, big data can be used to gather, analyze, and summarize information. This includes analyzing a customer’s historical activity or assessing a broad range of claim types. Based on the information gathered, insurers may be able to detect fraud, protect against unsuitable risk, or better understand where they may be most exposed.
According to Grand View Research, the total insurtech industry value in 2022 was $5.4 billion. The revenue forecast for 2030 is $152 billion.1
Innovations Driving Insurtech Change
There continues to be a growing, evolving range of technology used in insurtech that changes the way insurance is being performed. Here are the following most notable technologies being leveraged.
Artificial Intelligence/Machine Learning
Artificial intelligence functions allow certain tasks that previously required human interaction to now be performed exclusively reliant on technology. For example, customers would previously have to interact with representatives to have questions answered; now, interactive discussions with chatbots may allow a customer to receive help without talking to a human.
A subset of artificial intelligence is machine learning, the ability to extract historical data and compile predictive models. These models are then used to distribute information and may be set to a feedback loop. If future data in fed into the model, the model may “learn” and continually evaluate how to calculate appropriate premiums based on demographics or risk profiles.
Insurtech change relies on efficiency. This means that when insurance clients fill out a document online, that record is automatically stored in a data warehouse or used to automatically compile a policy ready for signature. Automation tools are utilized to avoid manual human intervention when technological tools can carry out a process on its own.
Big data refers to the collection of massive amounts of information. This includes a broad range of data, the fast collection of real-time data, and a variety of data sets. Big data collection techniques allow insurers to gather a broader set of data used to analyze the risk profile of a customer to better understand their characteristics and habits. In addition, this information can be gathered for millions of customers and fed into predictive models discussed earlier.
Though most known for cryptocurrency, the fundamental basis for blockchain technology is immutable, distributed legers. This allows for unalterable record-keeping to ensure security and reliability in information storage. It also allows for smart contract execution to reside on a blockchain, remaining dormant until specific conditions are met to release insurance proceeds or validate an insurance client.
Insurtech also relies on innovative hardware technologies as well. Drones can be used to assess properties, evaluate property damage where it might have been physically unsafe for humans to traverse, or audit a site for a claim. Drones are now becoming increasingly reliant on high-definition photo and video quality, allowing for assessors to heavily rely on photographs and stored images from flights.
Internet of Things
Another insurtech innovation that relies on physical innovation is the Internet of Things (IoT). Though a digital concept, IoT relies on the interaction between physical goods and software. For example, auto insurers now commonly offer devices that gauge vehicle speed, handling, and driving habits that can be used to reward positive driving habits or penalize negative driving habits. While this level of information has never been available before, insurance companies can now base premiums on the smallest of details.