Insurance IoT Solutions Landscape Explored by Parks Associates in In-demand Report Available at MarketPublishers.com
27 Nov 2017 • by Natalie Aster
LONDON – Home and auto insurance companies are able to manage risks and save money by leveraging smart home products to predict and prevent fires, flooding, and device malfunctions. Health insurance firms can collect data to enhance clinical outcomes and the quality of care, by collecting and exploring data from connected devices like connected fitness or arterial blood pressure monitors. All insurance companies will likely be able to utilise smart home data to define the most competitive insurance premiums and offer novel benefits to their customers.
Farmers, Allstate, ROC-Connect, Fibaro, Aviva, Panasonic, Hippo, Allianz, Liberty Mutual, Verisk Solutions, Nest, American Family Insurance, LeakBot, Roost, Gore Mutual, Neos, First Alert, Honeywell, LeakSMART, Leak Sentinel, State Farm, and Vivint, are amid the dominant players in the market.
Comprehensive report “Implications of IoT Data for Insurers” drawn up by Parks Associates offers an in-depth assessment of insurance applications for the connected home, evaluates the benefits for both insurance firms and policy owners, and analyses early insurance programs that leverage smart home data.
The study gives an all-round overview of the insurtech and the smart home telematics landscape; examines the value of smart home telematic systems for insurance companies and policy owners. It sheds light on the insurance IoT ecosystem; canvasses key drivers and limiters with respect to the adoption of insurance IoT solutions. It reviews smart home devices with various use cases for insurance; as well as discusses consumers’ attitudes towards these smart products. The report offers an all-round overview of the evolution of the market for insurance IoT solutions. It offers detailed profiles of the industry players and insurance activities.
More comprehensive research publications by the publisher are available at Parks Associates page.