Implications of IoT Data for Insurers

Home and auto insurers can manage risk and save money by leveraging smart home products to predict and prevent fires, flooding, and device malfunctions. Health insurers can gather data to improve care quality and health outcomes, by collecting and analyzing data from connected devices such as connected blood pressure or fitness monitors. All insurers will also be able to use smart home data to determine the most competitive premiums and provide new benefits to their customers. This report reviews insurance applications for the connected home, assesses benefits for both insurers and policy holders, and evaluates early insurance programs leveraging smart home data.

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1.0      Report Summary

1.1      Purpose of Report

1.2      Scope of Report

1.3      Research Approach/Sources

2.0      Insurtech and the Smart Home Telematics Landscape

2.1      Auto Telematics as a Precursor to Smart Home Telematics

2.2      Value of Smart Home Telematics for Insurers and Policyholders

2.3      Insurance IoT Ecosystem

2.4      Smart Home Devices with Insurance Use Cases

2.4.1  Water Use Cases

2.4.2  Smoke and Fire Use Cases

2.4.3  Anti-Theft and Intrusion Prevention Use Cases

2.5      Drivers and Barriers for Adoption of Insurance IoT Solutions

3.0      Developing a Path to Market for Insurance IoT Solutions

3.1      Decision Points

3.1.1  Marketing versus Operations

3.1.2  Undifferentiated Consumers versus Segmentation

3.1.3  Islands versus Ecosystems

3.1.4  Economics of Consumer Funding versus Insurer Funding

3.1.5  Technology Build versus Buy

3.2      Profiles of Ecosystem Players and Insurance Activities

4.0      Consumer Attitudes toward Smart Products with Insurance Use Cases

4.1      Smart Home Product Adoption

4.2      Purchase Intentions for Smart Products with Loss Detection/Prevention Features

4.3      A Comparison of Consumer Preferences for Safety Device Bundles

4.4      Consumer Attitudes about the Role of Insurance Companies in the Smart Home

5.0      Implications and Recommendations

6.0      Appendix

6.1      Index

6.2      Representative Brands by Product Category

Companies Researched for Report
Likelihood of Purchasing Smart Home Products by Auto Insurance Type
Insurance IoT Ecosystem
Smart Home Devices with Insurance Use Cases
Path to Market Matrix: Marketing versus Operational Use of IoT Data
Examples of Insurance Marketing and Sales Strategies with IoT Solutions
Stages of Insurance IoT Implementation
Company Profile – Nest
Company Profile – Fibaro
Company Profile – Roost
Company Profile – LeakBot
Company Profile – Verisk Analytics
Company Profile – CoreLogic
Company Profile – ROC-Connect
Company Profile – EVRYTHNG
Company Profile – Neos
Company Profile – Z-Wave Alliance
Smart Home Devices Owned
Purchase Channels for Security and Safety Devices
Likelihood of Purchasing Smart Home Products with Detection/Prevention Features
Likelihood of Buying Smart Water Products by Experience with Water Damage
Likely Buyers of Smart Home Products by Insurance Provider
Likelihood of Purchasing Fire Safety Packages among Likely Buyers of Smart Products
Likelihood of Purchasing Water Safety Packages among Likely Buyers of Smart Products
Reasons for Disinterest in Fire and Water Safety Packages
Appeal of Loss Detection/Prevention Products that Automatically Notify Insurers
Preferred Incentive for Acquiring Smart Products
Likelihood of Switching Insurance Providers for Smart Products
Interest in Non-traditional Providers

Publish Date: 4Q 2017

Pages: 56

Authored By:
Brad Russell - Research Director, Connected Home

© November 2017 Parks Associates
All rights reserved.  No part of this book may be reproduced, in any form or by any means, without permission in writing from the publisher.

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