The insurance industry continues to be a hotbed of patent innovation. Activity is driven by digitalization, personalization, and growing importance of technologies such as artificial intelligence (AI), Internet of Things, and cybersecurity in insurance documentation and data analytics, predictive risk assessment, fraud detection, and smart policy management. In the last three years alone, there have been over 17,000 patents filed and granted in the insurance industry, according to GlobalData’s report on Artificial intelligence in insurance: predictive risk analysis. Buy the report here.
However, not all innovations are equal and nor do they follow a constant upward trend. Instead, their evolution takes the form of an S-shaped curve that reflects their typical lifecycle from early emergence to accelerating adoption, before finally stabilizing and reaching maturity.
Identifying where a particular innovation is on this journey, especially those that are in the emerging and accelerating stages, is essential for understanding their current level of adoption and the likely future trajectory and impact they will have.
20+ innovations will shape the insurance industry
According to GlobalData’s Technology Foresights, which plots the S-curve for the insurance industry using innovation intensity models built on over 70,000 patents, there are 20+ innovation areas that will shape the future of the industry.
Within the emerging innovation stage, underwriting AI, predictive risk analysis, and insurance documentation AI are disruptive technologies that are in the early stages of application and should be tracked closely. Insurance fraud detection AI, smart policy management, and smart vehicle damage assessment are some of the accelerating innovation areas, where adoption has been steadily increasing. Among maturing innovation areas is automated weather forecasting, which is now well established in the industry.
Innovation S-curve for artificial intelligence in the insurance industry
Predictive risk analysis is a key innovation area in artificial intelligence
Predictive risk analysis through AI refers to the use of machine learning algorithms and other data processing techniques to identify and analyze patterns in large data sets related to potential risks that may arise in the future. The goal of predictive risk analysis is to enable insurers to proactively identify and mitigate potential risks before they actually occur.
GlobalData’s analysis also uncovers the companies at the forefront of each innovation area and assesses the potential reach and impact of their patenting activity across different applications and geographies. According to GlobalData, there are 260+ companies, spanning technology vendors, established insurance companies, and up-and-coming start-ups engaged in the development and application of predictive risk analysis.
Key players in predictive risk analysis – a disruptive innovation in the insurance industry
‘Application diversity’ measures the number of applications identified for each patent. It broadly splits companies into either ‘niche’ or ‘diversified’ innovators.
‘Geographic reach’ refers to the number of countries each patent is registered in. It reflects the breadth of geographic application intended, ranging from ‘global’ to ‘local’.
Patent volumes related to predictive risk analysis
Source: GlobalData Patent Analytics
Ping An Insurance (Group) is one of the leading patent filers in predictive risk analysis. The company developed an internal digital risk system using AI to assess insurance risk and prevent financial losses. Combining data points from multiple sources including Ping An’s own underwriting and claim records, the system employs cutting edge analytics engines and advanced technologies such as optical character recognition, natural language processing (NLP), and knowledge graphs to deliver a more thorough risk assessment.
In terms of application diversity, Cox Enterprises held the top position, while Flex and INRIX stood in second and third positions, respectively. By means of geographic reach, Expanse Bioinformatics leads the pack, followed by INRIX and Flex.
To further understand the key themes and technologies disrupting the insurance industry, access GlobalData’s latest thematic research report on Artificial Intelligence (AI) in Insurance.