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Usage-Based Insurance: How AI is Revolutionizing Insurance
Usage-Based Insurance: How AI is Revolutionizing Insurance

Discover how usage-based insurance and AI technology are changing the insurance industry. Learn about telematics and personalized coverage.

The insurance industry is experiencing a revolution, and usage-based insurance (UBI) is at the forefront of this transformation. UBI is a type of insurance that bases premiums on actual usage or behavior, rather than traditional factors such as age, gender, or location. The advent of artificial intelligence (AI) has revolutionized UBI, allowing insurance companies to analyze vast amounts of data and offer more personalized policies at lower costs. The integration of AI technology is transforming the insurance industry, making it more efficient and accurate than ever before.


The Usage-based insurance market is expected to reach an estimated value of USD 115.28 billion and is poised to grow at a CAGR of 19.05% in the forecast period of 2021 to 2028, according to the report, Global Usage-Based Insurance Market – Industry Trends and Forecast to 2028. This article examines UBI, the role of AI in this model, and the potential benefits and challenges associated with it.

How it works?

UBI relies on telematics technology that collects data about the car's usage and the driver's behavior. Telematics devices, usually installed in the car, gather information such as the vehicle's speed, acceleration, braking, and distance traveled. This data is then transmitted to the insurance company, where it is analyzed and used to calculate a personalized premium.

How Artificial Intelligence (AI) is Transforming the Insurance Industry?

a. Data Collection

AI plays a critical role in UBI by providing accurate and real-time data about the driver's behavior. Telematics devices gather massive amounts of data, and AI algorithms process and analyze this data to identify patterns and trends in the driver's behavior. This data is then used to calculate personalized premiums based on the driver's usage of the car.

b. Risk Analysis

AI algorithms analyze data about the driver's behavior to assess their level of risk. For example, if the algorithm detects that the driver frequently brakes hard or accelerates too quickly, it may classify them as a high-risk driver, and their premium will be adjusted accordingly.

c. Premium Calculation

AI algorithms use the data collected to calculate personalized premiums for each driver. Premiums are based on the individual's driving habits, and drivers who display safe driving behaviors are likely to pay lower premiums.

d. Claims Processing

AI-powered claims processing can help insurance companies to process claims faster and more accurately. By analyzing data from telematics devices and other sources, AI algorithms can detect fraudulent claims and reduce the time it takes to process legitimate claims.


The Pay-How-You-Drive (PHYD) insurance package held a major usage-based insurance market share of over 70% in 2018 and is expected to continue its dominance over the forecast timespan. This is attributed to the increasing popularity of PHYD among customers to reduce insurance premiums.

Benefits of Artificial Intelligence in Insurance

a. AI-powered Chatbots

One of the most exciting applications of AI in insurance is the use of chatbots to provide instant support to customers. Chatbots use natural language processing and machine learning to understand customer queries and provide personalized responses. AI-powered chatbots can help customers file claims, answer policy questions, and even recommend products based on the customer's needs. This provides customers with a more personalized experience and reduces the time it takes to resolve issues.

b. Predictive Analytics

Another exciting application of AI in insurance is the use of predictive analytics to anticipate risks and prevent losses. Predictive analytics uses machine learning to analyze data and identify patterns that could indicate potential risks. Insurers can use this data to develop risk mitigation strategies and prevent losses before they occur. This not only benefits the insurer but also the customer, as it reduces the likelihood of claims and potential rate increases.

c. AI-based Fraud Detection and Prevention

AI is also being used to detect and prevent fraud in insurance. Insurers can use AI-powered algorithms to identify suspicious behavior and patterns that could indicate fraud. AI can also be used to analyze social media activity or other external data sources, providing additional insights that can help insurers detect fraudulent activity. This can help insurance companies to reduce their losses and offer lower premiums to honest customers.

d. Cost Savings for companies and customers

For insurance companies, telematics allows for more accurate risk assessment and pricing, which leads to more profitable underwriting. Additionally, telematics data can be used to improve customer engagement and retention through personalized coverage and lower premiums for safe drivers. For customers, telematics offers the opportunity to save money on insurance premiums by exhibiting safe driving behavior. Additionally, telematics can help drivers improve their driving habits by providing feedback and insights into their driving behavior.

e. Improved Accuracy

AI-powered UBI is more accurate than traditional methods of calculating insurance premiums. By analyzing actual driving behavior, insurance companies can offer personalized policies that reflect the actual risk of the driver.

f. Underwriting Policies

AI helps in offering personalized insurance policies based on individual driving habits. This personalized approach ensures that drivers only pay for the coverage they need, making insurance more affordable for many drivers. Personalization also means that drivers who practice safe driving habits are rewarded, incentivizing drivers to adopt safer driving habits.

g. Improved Road Safety

AI has the potential to improve road safety. By collecting data on driving behavior, UBI encourages drivers to adopt safer driving habits. Drivers who frequently speed or brake suddenly can be identified and penalized, creating an incentive for drivers to practice safer habits. This can lead to fewer accidents and safer roads for everyone.

h. Enhanced Customer Experience

AI-powered UBI can offer a better customer experience by providing personalized policies that reflect the actual driving behavior of the individual. This can help customers feel more satisfied with their insurance coverage and can lead to increased loyalty and retention.

i. Real-Time Monitoring and Response

AI can also be used for real-time monitoring and response in the event of an accident or other incident on the road. By detecting abnormalities in driving behavior, such as sudden braking or swerving, AI can alert emergency services and insurance companies to provide assistance as quickly as possible.

Challenges of Implementing AI in Insurance

While the benefits of AI in insurance are clear, there are also challenges associated with implementing the technology. One of the primary challenges is data quality. AI relies on high-quality data to make accurate predictions and decisions. If the data is inaccurate or incomplete, AI-powered algorithms may provide inaccurate results.

Another challenge is the need for specialized talent. Developing and implementing AI-powered algorithms requires specialized talent, such as data scientists and machine learning engineers. These professionals are in high demand, and it can be challenging for insurers to find and retain them.

Future of AI in Insurance

The future of AI in insurance is exciting. As the technology continues to evolve, we can expect to see even greater advancements in risk assessment, underwriting, and claims handling. One area of innovation to watch out for is the use of AI in autonomous vehicles. As self-driving cars become more prevalent, insurers will need to develop policies that cover the unique risks associated with this technology.

AI will play a critical role in assessing and pricing these risks. Another area of innovation is the use of AI in health insurance. Insurers can use AI to analyze customer health data and develop personalized policies that provide coverage for specific health conditions.


The use of AI in insurance is transforming the industry in ways never thought possible. From better risk assessment to personalized customer experiences, AI is providing insurers with the tools they need to make better decisions, reduce costs, and provide better coverage.

While there are challenges associated with implementing the technology, the benefits far outweigh the risks. As the technology continues to evolve, we can expect to see even greater advancements in the insurance industry, providing new opportunities for insurers and customers alike.