With the growth of the Internet and the increase in number of online devices, IPv4 address space approaches exhaustion. This has led to the deployment of IPv6. However, IPv6 has not been widely adopted, particularly in Kenya. According to Akamai (2016) IPv6 has an adoption rate of 0.02% in Kenya despite recent studies showing that adoption is increasing in some parts of the world. Some of the shortcomings of the current methods of measuring IPv6 adoption are: (a) There is limited information available on how to measure IPv6 adoption (b) Measuring IPv6 adoption from the network is not possible since the current routers do not support IPv6 (c) Large data sets are required so as to identify the level of IPv6 adoption. The model proposed in this study address these drawbacks in measuring IPv6 adoption. The specific objectives of this study are to: (1) establish the reasons why Internet Service