Top 6 technology trends in insurance industry for 2024

The once-immutable insurance industry is undergoing a profound transformation driven by technological advancements. Gone are the days of static policies and robotic claims adjusters; in their place is an emerging dynamic ecosystem fueled by AI, hyper-personalization, and embedded smart insurance.

At the heart of this evolution lies a critical realization: personalization isn't just a buzzword; it's a tangible advantage. Research suggests a staggering 50% reduction in acquisition costs and a 30% boost in marketing ROI for insurers who implement this customer-centric approach. Legacy technology and mindsets, however, need to be improved in this data-driven environment. Embracing the latest technology trends in insurance industry, including big data analytics and AI-powered risk assessment, is crucial for legacy players to bridge the gap between data-driven personalization and their existing technology and mindsets.

6 technology trends in the insurance industry

Organizations actively embrace AI and cloud technologies to streamline operations and gain insights, according to research by Aite-Novarica. While Machine Learning and unstructured text analysis lead the pack, with nearly half of the implementations deployed, AI applications like image recognition and voice analysis are gaining traction. Cloud computing is the dominant technology, highlighting its crucial role in powering the organization's infrastructure and scalability. Emerging technologies like low-code platforms and drones show promising adoption, suggesting a focus on democratizing development and exploring niche applications.  

Telematics, Machine Learning, and automation are no longer futuristic aspirations but the very tools reshaping the insurance value chain. Real-time insights unlock bespoke risk profiles while seamless omnichannel experiences replace cumbersome processes. This is no mere a digital makeover; it's a strategic pivot towards agility and adaptability. Let’s explore these technology trends in insurance industry in more detail.

1. Artificial Intelligence, automation, and advanced analytics

According to Precedence Research, AI will improve productivity in insurance processes and cut operational costs by 40%. Insurers must accelerate the adoption of automation, AI, and advanced analytics to adapt to the changing environment and elevate their purpose. These technologies can enhance operational efficiency, facilitate proactive risk management, personalize customer experiences, and bridge the digital gap. Additionally, collaboration with insurtechs and ethical considerations are crucial for innovation and responsible use of technology. By embracing these advancements, insurers can achieve profitability and address societal and environmental challenges, ultimately elevating the industry's vision and mission. These insurance technology trends are impacting various aspects of the industry, offering significant benefits. Let’s take a closer look. 

Underwriting:

• AI-powered risk assessment. Algorithms analyze vast amounts of data to assess risk accurately, leading to fairer and more efficient pricing. AI-powered risk assessment ditches one-size-fits-all premiums for personalized profiles, ensuring low-risk individuals no longer subsidize high-risk ones.
• Automated data extraction. Automated extraction of critical information from documents like medical records and financial statements, reduces manual work and accelerates the underwriting process.
• Predictive modeling. By harnessing real-time data and cutting-edge technology, insurance providers can transition from policy management to risk management. This enables them to proactively reduce the likelihood and impact of unforeseen events for their customers and partners.

Claims processing:

• Automated claims processing. AI and Robotic Process Automation (RPA) handle routine claims tasks, freeing human adjusters for complex cases.
• Fraud detection. Advanced analytics identify fraudulent claims more effectively, reducing costs and protecting legitimate customers.
• Faster claims settlement. Automated processes streamline the claims journey, resulting in quicker settlements for policyholders.

Customer service:

• Chatbots and virtual assistants provide 24/7 customer support and answer basic inquiries, improving customer experience and reducing operational costs.
• Personalized recommendations offer relevant products and services based on individual needs, leading to increased customer satisfaction and engagement.
• Enhanced data-driven insights. Understanding customer behavior and preferences through data analysis allows for targeted marketing campaigns and personalized communication.

Risk management:

• Predictive analytics is used to identify potential risks before they occur, enabling proactive risk mitigation strategies.
• Internet of Things (IoT) data analysis entails monitoring real-time sensor data to assess risk factors and prevent accidents or losses.
• Improved catastrophe modeling involves assessing the potential impacts of natural disasters, enabling better risk preparedness and planning.

In 2022, the global AI in insurance market size was estimated at $4.59B, and it is expected to reach $79.86B by 2032, growing at a CAGR of 33.06%.

2. Embedded insurance

Embedded insurance is reshaping the industry, with non-insurance companies like car manufacturers and retailers partnering with insurers to offer coverage at the point of sale. This shift represents a $900B market opportunity by 2040. The product market is shedding its rigid, one-size-fits-all approach, embracing usage-based models that dynamically adjust to individual needs. Embedded smart insurance seamlessly integrates into our daily lives, offering protection precisely where and when it's needed.

The rewards of this tech-driven transformation are undeniable. McKinsey's research highlights the potency of strategic bets on new technologies, revealing that every dollar of revenue from these ventures generates twice the enterprise value compared to traditional business models. 

While established players embrace embedded insurance, 80% of the potential market growth lies in diverse organizations integrating insurance for business model enhancement across industries. Embedded insurance unlocks new revenue streams for both insurers and businesses focused on customer experiences, like e-commerce platforms, logistics services, and healthcare providers. Insurers gain access to untapped customer segments and tailor coverage based on data insights. At the same time, businesses differentiate themselves with valuable add-on services and boost revenue through commissions or other arrangements. This win-win scenario revolutionizes the insurance sector by seamlessly integrating protection within existing products and services. Insurance companies should partner with digital enablers to implement the cutting-edge technology trends in insurance industry and capitalize on the booming market for embedded insurance. 

Several technologies facilitate embedded insurance, such as APIs, which bridge insurance companies' backend systems and partner platforms, enabling real-time data exchange for seamless integration. Cloud computing provides scalability, flexibility, cost-efficiency, and agility, allowing insurers to manage vast volumes of embedded insurance data. AI and ML play a significant role, offering personalized risk assessment, fraud detection, and data-driven decision-making. Blockchain technology enhances security, streamlines claims processing, and increases transparency. Internet of Things (IoT) and sensor data provide valuable insights for risk assessment. At the same time, data analytics tools extract valuable insights from embedded insurance data for informed decision-making and strategy development.

3. Telematics

The world of auto insurance is undergoing a shift, driven by the rise of electric vehicles and the powerful capabilities of telematics data. This real-time information, gained from sensors within modern cars, is fundamentally changing how insurance companies assess risk, price policies, and manage claims.

Traditionally, insurers relied heavily on factors like credit score and car model to estimate risk and set premiums. This approach, however, does not capture the nuances of individual driving behavior. Conversely, telematics offers a window into drivers' habits, providing valuable insights into their safety and responsibility.

By analyzing data such as braking patterns, acceleration, and cornering, insurers can accurately assess the risk associated with each driver. This allows them to segment and price policies more effectively, rewarding safe drivers with lower premiums and encouraging responsible behavior.

The benefits of telematics extend beyond pricing. In an accident, telematics data can provide critical information about the incident, including the angle of impact, severity of deceleration, and even the location of occupants within the vehicle. This information can:

• Expedite claims processing: By understanding the nature of the accident, adjusters can process claims more quickly and efficiently.
• Prioritize first responders: Knowing the potential extent of injuries can help direct emergency personnel to where they are needed most.
• Prevent fraud: Telematics data can help to identify and combat fraudulent claims, further reducing costs for insurance companies and, ultimately, consumers.

The future of auto insurance points towards a more integrated and personalized experience. OEMs (original equipment manufacturers), with their deep understanding of vehicle technology and access to telematics data, are positioned to play a key role in this evolving ecosystem. By collaborating with insurance companies, they can offer embedded insurance options that seamlessly integrate with the driving experience, providing customized coverage and valuable services. Telematics relies heavily on diverse technologies to gather, transmit, analyze, and utilize data for insurance applications in such areas as:

Data acquisition:

• Embedded sensors: Accelerometers, gyroscopes, GPS, collision sensors, and OBD-II systems generate real-time data about vehicle movement, speed, location, and condition.
• Data acquisition units (DAUs): These onboard devices collect and pre-process sensor data before transmitting it to the central platform.

Data transmission:

• Cellular networks: Real-time data transmission relies on 4G/5G cellular networks for fast and reliable communication with the insurance company's systems.
• Satellite communication: Provides backup connectivity in remote areas with limited cellular coverage.

Data management and analytics:

• Cloud computing: Secure and scalable cloud platforms store and process massive volumes of telematics data, enabling efficient analysis and insights generation.
• Data warehousing: Structured data storage allows for historical analysis and trend identification.
• Machine Learning and AI: Advanced algorithms analyze driving patterns, identify risky behaviors, predict potential accidents, and personalize insurance offerings.
• Big Data Analytics: Advanced analytics platforms extract valuable insights from large datasets, enabling insurers to segment customers, optimize pricing, and detect fraudulent claims.

User interface and applications:

• Mobile apps: Drivers can access telematics data, driving reports, risk assessments, and rewards programs through dedicated mobile applications.
• Web portals: Insurers manage data, create reports, and configure settings through secure web-based portals.
• API integration: Telematics data can be integrated with other systems like mapping platforms, traffic management solutions, and emergency response services.

This data-driven future has its challenges. Concerns around data privacy and the potential for misuse of telematics information need to be addressed with transparency and ethical considerations. However, the potential benefits of telematics are undeniable, and the companies that embrace this technology trend in the insurance industry and utilize its power to create innovative solutions will be the ones to thrive in the new era of auto insurance.

Read more: Big Data in insurance: a game-changer for the future growth 

4. Drones

Insurance companies are actively deploying and expanding the use of drones for two strategic goals: better data collection for improved risk management and increased efficiency and effectiveness in claims handling, leading to reduced operational costs. This translates to faster settlements, lower costs, and happier customers. 

Using drones, insurers can assess risks, monitor disasters, and offer discounts before a loss. Post-loss, they help with inspections, risk assessment, and fraud prevention. Commercial drones are reshaping the insurance industry, potentially saving billions through faster transactions, improved resource efficiency, and fraud reduction. By eliminating risky, time-consuming ground inspections and delivering information ten times faster than traditional methods, drones can streamline claims processing and free field adjusters for more specialized tasks. Their efficiency boost could also significantly reduce the need for field agents, leading to cost savings. According to Deloitte, drones can help combat the $32B annual burden of fraudulent claims by providing precise aerial data. GlobalData predicts the drone market will reach $40.7B by 2028 – up from $17B in 2018 – an annual growth rate of 9.1%. Several key technology trends in insurance industry work together to power the usage of drones. These trends encompass flight control and automation, ensuring the safety and efficiency of drone operations. They involve advanced algorithms that process images and data, facilitating risk assessment and claims processing. Additionally, data analytics, AI, blockchain, and ML contribute to enhanced risk management and optimized drone flight paths using historical data.

5. Low-code/no-code

Among the technology trends in insurance industry, low/no-code tools stand out as robust solutions for supercharging operational efficiency. Low/no-code platforms offer promising opportunities for cost reduction in the insurance industry, with potential savings reaching up to 70%. Their rapid deployment timeframe, often within three days, starkly contrasts legacy system modernization's lengthy, two-year process. Furthermore, an Adacta study indicates that nearly 82% of insurance companies report increased operational speed after adopting low-code technologies and practices. The low/no-code development platform market has already reached a staggering $15B and is expected to quadruple in five years.

Data indicates a significant increase in low-code adoption among business users. A recent study by the industry insider found that 14% plan to significantly expand their low-code investments, with an average increase of 21%. Additionally, 79% intend to maintain their current level of low-code engagement. This trend is expected to continue, with forecasts suggesting that low code will account for over 65% of application development activity in 2024. 

No-code platforms empower insurers to build and deploy applications without writing a single line of code. This agility brings numerous advantages:

• Faster innovation: No-code streamlines development, enabling insurers to launch new products and features at lightning speed, staying ahead of market demands.
• Cost reduction: Legacy systems are expensive and cumbersome. No-code platforms eliminate these burdens, allowing insurers to operate leaner and free up resources for other critical areas.
• Improved efficiency: Automation and streamlined workflows boost productivity, allowing employees to concentrate on higher-value tasks like fraud detection and risk modeling.
• Enhanced customer experience: No-code platforms enable personalized policies and faster claims processing, leading to happier and more loyal customers.

But the benefits go beyond efficiency. No-code platforms democratize development, allowing citizen developers to contribute, fostering diversity of talent, and injecting fresh perspectives into the innovation process. This talent pool doesn't replace skilled programmers; instead, it frees them to tackle complex projects while citizen developers handle routine tasks.

However, embracing these technology trends in insurance doesn't guarantee success. Security remains a top concern. Insurers must know potential vulnerabilities and implement robust mechanisms to protect sensitive data and systems. Ultimately, no-code platforms offer an unprecedented opportunity for insurers to adapt, innovate, and unlock new possibilities. 

6. Cloud computing

Cloud computing is gaining traction in the insurance industry, impacting how insurers operate. A significant portion of insurers, estimated at 81%, are now utilizing cloud technology for their claims management systems, with over 25% relying solely on it. This shift towards cloud infrastructure is driven by its ability to provide centralized computing power and storage, promoting flexibility, scalability, and interoperability. As a result, many insurers are experiencing smoother claims processing and aiming to improve customer experience.

Insurers can significantly improve claims processing by using AI and data analysis, which requires fast and scalable data handling - cloud computing fills this need. Cloud is cheaper, easier, and faster to deploy than legacy systems, enabling insurers to adopt AI-powered technologies like computer vision, robotics, and chatbots. Established insurers have a data advantage, possessing vast customer information over long periods, which fuels powerful AI models for decision-making. Smaller insurers can benefit from the cloud to compete with insurtechs.

Thanks to advanced cloud capabilities, the once-daunting task of generating valuable insights is now within reach for any company. Take fraud detection, for instance: machine learning services now identify suspicious activity with lightning speed, a feat that previously required a monumental effort. Similarly, readily available tools grant companies and their partners easier access to regulatory information, simplifying compliance at a fraction of the cost. Insurance carriers place ML, NLP, advanced call-center capabilities, and IoT at the top of the 12 cloud-enabled capabilities most relevant to their business.

According to McKinsey, the expected EBITDA run-rate impact of cloud adoption within the insurance sector will range between $70B and $110B by 2030. This places the insurance industry among the top five sectors analyzed in terms of this impact. When considering the EBITDA impact as a percentage of the total EBITDA projected for 2030, the insurance sector holds the top position among all sectors, ranging from 43% to 70%.

Read more: Insurance software development: outsourcing vs in-house 

Wrap-up

The insurance sector is going through a major transformation, driven by technology trends in insurance industry. Traditional insurance practices are making way for innovative solutions powered by AI, resulting in personalized offerings and dynamic ecosystems that cater to individual needs. Telematics data now provides insights into driving habits, drones are deployed for assessing damage from storms, and low-code platforms offer the flexibility to create custom insurance solutions. Data-driven decision-making, personalized customer experiences, and seamless integration into daily life are at the forefront of these changes.

However, traditional insurance companies must embrace digital partnerships to excel in this evolving market. Collaborating with tech experts is essential for fully unlocking the potential of AI, cloud computing, and other advanced tools. By doing so, insurance carriers can co-create a future that redefines risk management and protection. The future of insurance promises collaboration, innovation, and a departure from traditional norms.