A case Study on how Yoga and Artificial Intelligence together improve modern health and support a better life in today’s society

Abstract

The practice of yoga has been considered the ultimate powerhouse for living a happy life since ancient times. However, in today's modern society, with the changes that have occurred in the socio-cultural lifestyle, people are gradually devoting less importance to their health. Once more, in the hectic world of the younger generations, everyone is technologically savvy because artificial intelligence is the revolution that is about to take place. The integration of yoga and artificial intelligence has already been established at the period of covid, and over the course of the past three years, yoga has gradually become an indispensable component of human life only as a result of technological advancements. The number of yoga practitioners in India who rely on virtual classes for their study and practice is expected to exceed 120 million by the year 2025. The whole market for yoga in the country is represented by this number, which represents a sizeable contribution. According to the report titled "Economic Dimensions of Yoga: Market Size Comparison Between India and The World," the market for yoga in India is estimated to be worth approximately USD 5.7 billion by the year 2023. It is projected to grow at a compound annual growth rate (CAGR) of almost 12%, which indicates a continuous rise in the number of participants, including those who participate online.

The purpose of this paper is to investigate the modern tools that are utilized in the training of yoga practitioners and to determine how these tools are facilitating the accessibility of yoga among working professionals and families. Additionally, the paper intends to investigate the modern yoga trainers and business owners who are employing modern technology to educate individuals for the purpose of improving the well-being of community members. The analysis of this case study was carried out with the assistance of secondary data by means of a number of literature reviews.