top of page
  • decodeMR Team

Market Access Strategy for an AI-Powered Device


Authors: ​A. Shukla, R.M. Dokala, J.R. Philomen

This case study was originally published on on 05th March 2019

The Client

Our EU-based client is developing an AI-driven device for the diagnosis of a common diabetes-related condition. They intend to launch the device in India, which has the second-highest diabetic population in the world.

The Business Problem

The client sought our help to devise a market access strategy to ensure the device’s integration into routine clinical practice upon its launch. They specifically wanted to know which pricing strategy to adopt considering the price-sensitive nature of the Indian market.​

Our Approach We performed in-depth secondary research to understand the existing and upcoming competition and their strengths and weaknesses, and to identify key stakeholders involved in the diagnosis of the condition. Findings from the secondary research were discussed with the client, based on which the sample populations were finalized. We collaborated with our subject matter experts to create stakeholder-specific questionnaires. A representative sample of General Physicians, Specialists, and Patients, from across India, were recruited and screened for relevancy. Qualitative F2F IDIs were conducted, with the screened physicians and patients – our field presence allowed us to conduct face-to-face interviews in less than 2 weeks as per our client’s request. The interviews were conducted as per ESOMAR guidelines.

The Interviews The questionnaire for physicians was designed to understand, among other things, their perception of the condition, AI technology, the utility of the client’s device, and how it compares to available techniques. We also discussed physicians’ and their patients’ paying capacity, willingness to pay, and tested various pricing strategies.

The Findings The insights allowed us to make recommendations concerning the optimum positioning of the device. With regard to the pricing strategy, we suggested a tiered pricing approach as opposed to the one-size-fits-all approach as is generally preferred.


bottom of page