DUBLIN, Nov 14, 2016 /PRNewswire/ -- Research and Markets has announced the addition of the "Wearable Cardioverter Defibrillator Market Analysis & Trends - Product, Condition - Forecast to 2025" report to their offering.
"Wearable Cardioverter Defibrillator Market Analysis & Trends - Product (Implantable Cardioverter Defibrillators (ICDS) and External Defibrillators), Condition (Congenital Heart Disease, Inherited Arrhythmias and Peripartum Cardiomyopathy) - Forecast to 2025"Based on Product the market is categorized into Implantable Cardioverter Defibrillators (ICDS) and external defibrillators. Moreover, Implantable Cardioverter Defibrillators (ICDS) is further subjected to Subcutaneous Implantable Cardioverter Defibrillators(S-ICDS), Transvenous Implantable Cardioverter Defibrillators (T-ICDS). Whereas, external defibrillators is further sub-divided into Automated External Defibrillators (AEDS), and manual external defibrillators. By condition market is segregated into congenital heart disease, inherited arrhythmias, and peripartum cardiomyopathy. Depending on End-Users the market is classified into cardiology clinics, home care settings, and hospitals. This industry report analyzes the global markets for Wearable Cardioverter Defibrillator across all the given segments on global as well as regional levels presented in the research scope. The study provides historical market data for 2013, 2014 revenue estimations are presented for 2015 and forecasts from 2016 till 2025. The study presents detailed market analysis with inputs derived from industry professionals across the value chain. A special focus has been made on 23 countries such as U.S., Canada, Mexico, U.K., Germany, Spain, France, Italy, China, Brazil, Saudi Arabia, South Africa, etc. The market data is gathered from extensive primary interviews and secondary research. The market size is calculated based on the revenue generated through sales from all the given segments and sub segments in the research scope. The market sizing analysis includes both top-down and bottom-up approaches for data validation and accuracy measures.