Deep Knowledge Analytics produced analytical report that provides an overview of the markets, technologies, companies, investors, trends, key drivers, challenges and opportunities in the HealthTech Mobile Applications industry and gives an insight into the competitive landscape of the industry and how it shapes the world.
Containing concisely summarized and structured information of mHealth space in general, the report aims to inform readers about the current and future trends adopted by the key players of the industry and to determine the overall competitiveness of the market.
The 76 pages document is based on the analysis of 100 mobile apps and 120 investors in the HealthTech Mobile Apps sector, including such subsectors as: Brain training, Geo tracking, Meditation, Nutrition, Period tracking apps, Productivity and Performance, Quantified Self apps, SleepTech, Sport and Fitness apps.
A thorough competitor analysis is also presented in the Report. The Eterly mobile app and 20 other healthcare mobile apps are profiled and compared of the following criteria: Life extension algorithm, AI, Personalised Medicine, Automated personal assistance, Daily advice, Progress tracker and SleepTech technologies.
The years 2016-2017 saw basic apps lacking data analysis, insured data privacy, chatbots and AI interactions or recommendation systems. The leading edge of the current state of HealthTech mobile apps offer all these features. Previously, any HealthTech mobile app was inherently considered novel (First Generation which is now outdated), but in 2017 it became clear that apps needed to integrate a sufficient level of personalisation and AI analysis with a chatbot and other elements - i.e., which is considered at the current level as mHealth state-of-the-art solutions. This now represents the Second Generation of HealthTech mobile apps. The Third Generation is set to rise in 2018-2019, where the aforementioned features will be considered as a standard, while the next generation apps will have much more sophisticated composite solutions marked by the synergistic convergence of insured data privacy, blockchain technology, chatbots and Data Science driven advanced analytical systems empowered by AI.
Specific chapter starting at the page 46 is dedicated to the convergence of Longevity, Data Science, AI and Blockchain and outlines several prospective candidates to achieve the level of the 3rd generation mobile apps in foreseeable future.