Wellness Apps Top Companies - Recent Developments, Business Strategy, Deal Strategy, Patent Strategy, Benchmarking and Management Outlook

Market Size Analysis and Top Companies Wellness Apps 

The global wellness apps market size is estimated to hit around USD 39.66 billion by 2033, increasing from USD 9.71 billion in 2023 with a CAGR of 15.11% from 2023 to 2033. The top companies operating in the wellness apps are Mindscape, Calm, Headspace Inc., Google, Appster, Under Armour, Inc., Kayla Itsines, Apple Inc., Sleepace, Withings, and Others.

Market Report Coverage

Wellness Apps Key Players

• Mindscape
• Calm
• Headspace Inc.
• Google
• Appster
• Under Armour, Inc.
• Kayla Itsines
• Apple Inc.
• Sleepace
• Withings

Recent Developments

• In October 2024, Deepinder Goyal, co-founder and CEO of Zomato, launched a new wellness startup called Continue. The company aims to focus on health tracking and mental wellness. Initially incorporated under Upslope Advisors, Continue represents Goyal's venture into health and wellness, having invested ₹50 lakh of his own funds into the project. Goyal describes Continue as a platform that will serve as his personal health and wellness team, dedicated to researching and tracking methods to optimize performance and maintain peak health. Although details on the offerings are still scarce, Goyal expressed enthusiasm about developing innovative solutions that he hopes to share with the world in the future
• In June 2024, Equanima announced the upcoming release of its innovative wellness app and games to enhance emotional intelligence and mental health. The app, which incorporates AI for personalized mood monitoring and e-learning modules, will launch by the end of Q3 2024 and target Millennials and Gen Z who face mental health challenges.
• In January 2024, FOXO Technologies formalized a partnership with KR8.ai to launch the VITHAR AI Health Coach, a subscription-based wellness app. This application combines epigenetic biomarker analysis with machine learning to provide personalized health recommendations based on users' genetic insights and health statistics. 

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