GITNUX MARKETDATA REPORT 2024

AI In The Weight Loss Industry Statistics

Ai in the weight loss industry is expected to revolutionize personalized nutrition and fitness programs for more effective and sustainable results.

Highlights: Ai In The Weight Loss Industry Statistics

  • 45% of weight loss apps utilize AI for personalized coaching.
  • The global AI-based weight loss market is projected to reach USD 6.3 billion by 2027.
  • The AI-powered weight loss platform Noom reached 45 million users in Q1, 2020.
  • By 2021, 58% of the world's healthcare services are expected to adopt AI technology in some form, including weight loss.
  • AI in the weight loss industry is predicted to grow at a CAGR of 43.7% between 2021 and 2027.
  • AI-based weight loss apps see an average engagement of six days per week.
  • 78% of fitness app users believe that using AI-based programs helped improve their weight loss efforts.
  • 63% of weight loss app users are more likely to stick to their exercise routine when using an AI-based app.
  • About 21% of users prefer AI-based chatbots for health counseling, including weight loss.
  • AI improves the prediction of patient weight loss success by over 76% compared to traditional methods.
  • A survey of 500 weight loss app users found that 65% found AI-coaching more effective than human trainers.
  • The retention rate of AI-based weight loss apps is 50% higher than the average health and fitness app.
  • 30% of weight loss app users important their data to other health and wellness apps, showing a significant integration of AI services.
  • AI-based weight loss interventions have an average success rate of 1.5 - 2.5 lbs/per week

Table of Contents

The Latest Ai In The Weight Loss Industry Statistics Explained

45% of weight loss apps utilize AI for personalized coaching.

The statistic that 45% of weight loss apps utilize AI for personalized coaching indicates the prevalence of artificial intelligence technology in the weight loss industry. This suggests that almost half of the weight loss apps on the market are incorporating AI algorithms to offer personalized coaching to users, potentially enhancing the effectiveness and customization of weight loss programs. AI can analyze user data, patterns, and behaviors to provide tailored recommendations, support, and motivation, making the weight loss journey more efficient and engaging for individuals seeking to achieve their health and wellness goals.

The global AI-based weight loss market is projected to reach USD 6.3 billion by 2027.

This statistic indicates the projected growth of the global AI-based weight loss market, with an expected value of USD 6.3 billion by the year 2027. This suggests a significant increase in market size compared to the current value, driven by the adoption of artificial intelligence technologies in the weight loss industry. The advancement of AI algorithms and the integration of data analytics are expected to enhance personalized weight loss solutions, improve user engagement, and ultimately drive the market expansion. This projection highlights the growing importance of technology in addressing health and wellness concerns, particularly in the context of weight management.

The AI-powered weight loss platform Noom reached 45 million users in Q1, 2020.

The statistic that the AI-powered weight loss platform Noom reached 45 million users in Q1, 2020 indicates the substantial growth and widespread adoption of the platform within that time period. This figure suggests that a large number of individuals have engaged with Noom during the first quarter of 2020, potentially reflecting the effectiveness and appeal of the platform’s approach to weight loss and health management. The use of artificial intelligence in guiding users through personalized weight loss journeys may have contributed to the platform’s popularity and ability to attract a significant user base. Additionally, the statistic highlights the scalability and reach of digital health solutions like Noom in addressing the needs and preferences of a diverse user population seeking support for their weight loss goals.

By 2021, 58% of the world’s healthcare services are expected to adopt AI technology in some form, including weight loss.

The statistic indicates that by the year 2021, it is projected that 58% of healthcare services worldwide will incorporate artificial intelligence (AI) technology in various capacities, including applications related to weight loss. This suggests a significant trend towards the integration of AI in the healthcare industry to enhance efficiency, improve patient outcomes, and potentially revolutionize treatment methods. The adoption of AI technology in weight loss services may introduce personalized, data-driven approaches to help individuals achieve their health goals more effectively. Overall, this statistic highlights the growing influence and potential of AI in transforming the global healthcare landscape towards more advanced and innovative practices.

AI in the weight loss industry is predicted to grow at a CAGR of 43.7% between 2021 and 2027.

The statistic indicates that the use of artificial intelligence (AI) technology in the weight loss industry is expected to experience a compound annual growth rate (CAGR) of 43.7% from the year 2021 to 2027. This growth rate suggests a rapid expansion in the adoption and implementation of AI solutions within the weight loss sector during this period. The increasing trend towards leveraging AI for personalized diet plans, workout routines, monitoring progress, and providing real-time support is likely to be the driving force behind this growth. Such advancements in technology are anticipated to revolutionize the weight loss industry by offering more effective and efficient solutions to help individuals achieve their health and fitness goals.

AI-based weight loss apps see an average engagement of six days per week.

The statistic “AI-based weight loss apps see an average engagement of six days per week” indicates that users are highly engaged with these apps, using them regularly throughout the week for their weight loss journey. This level of engagement suggests that individuals are actively utilizing the features and resources provided by the AI-based apps to support their weight loss goals, such as tracking their food intake, exercise routines, and progress towards healthier habits. The high frequency of engagement also implies that users find value in the app’s personalized recommendations and feedback generated by artificial intelligence, motivating them to stay consistent in their weight loss efforts.

78% of fitness app users believe that using AI-based programs helped improve their weight loss efforts.

The statistic ‘78% of fitness app users believe that using AI-based programs helped improve their weight loss efforts’ suggests that a significant majority of individuals who use fitness apps with artificial intelligence technology perceive benefits in terms of weight loss. This statistic implies a high level of confidence and satisfaction among users regarding the effectiveness of AI-based programs in assisting them with their weight loss goals. While this statistic reflects user perceptions rather than objective measures of weight loss success, it highlights the potential positive impact of AI technology in helping individuals achieve their fitness and weight management objectives.

63% of weight loss app users are more likely to stick to their exercise routine when using an AI-based app.

The statistic indicates that 63% of individuals who use weight loss apps are more inclined to adhere to their exercise regimen if they utilize an artificial intelligence (AI)-based app. This finding suggests that the integration of AI technology in weight loss apps can potentially enhance user engagement and motivation towards maintaining a consistent exercise routine. The use of AI may enable these apps to offer personalized recommendations, real-time feedback, and adaptive workout plans, thereby fostering a more effective and user-friendly fitness experience. This statistic implies that AI has the potential to play a significant role in improving adherence to exercise goals among weight loss app users, highlighting the importance of incorporating advanced technologies in promoting health and wellness outcomes.

About 21% of users prefer AI-based chatbots for health counseling, including weight loss.

The statistic “About 21% of users prefer AI-based chatbots for health counseling, including weight loss” indicates that a significant portion of individuals surveyed express a preference for using artificial intelligence (AI) technology in the form of chatbots for receiving counseling related to health, specifically in the context of weight loss. This suggests a growing interest and acceptance of digital tools in the healthcare domain, particularly in offering counseling services. AI-based chatbots can provide convenient and accessible support for individuals seeking guidance or information on managing their health and weight, potentially offering personalized recommendations and assistance. The statistic underscores the potential for leveraging technology to enhance healthcare services and cater to diverse preferences in seeking support and information on health-related topics.

AI improves the prediction of patient weight loss success by over 76% compared to traditional methods.

The statistic indicates that the use of artificial intelligence (AI) in predicting patient weight loss success is significantly more effective than traditional methods by over 76%. This suggests that AI technologies, with their advanced algorithms and machine learning capabilities, are able to provide more accurate and reliable predictions regarding a patient’s likelihood of achieving weight loss goals compared to conventional methods. The substantial improvement in prediction accuracy offered by AI highlights the potential of technology to greatly enhance outcomes in the field of healthcare and personalized medicine, ultimately leading to more tailored and effective interventions for individuals seeking to achieve successful weight loss.

A survey of 500 weight loss app users found that 65% found AI-coaching more effective than human trainers.

The statistic indicates that from a sample of 500 weight loss app users surveyed, 65% of them reported that they found AI-coaching to be more effective than human trainers for their weight loss goals. This suggests a majority preference among the respondents for utilizing artificial intelligence technology over human guidance when it comes to their weight loss journeys. It implies a growing acceptance and trust in AI-based coaching tools within the weight loss industry, potentially due to factors like convenience, personalized recommendations, and continuous availability. This statistic could inform the development and marketing strategies of weight loss app developers as they seek to cater to the preferences and needs of their target audience.

The retention rate of AI-based weight loss apps is 50% higher than the average health and fitness app.

The statistic indicates that AI-based weight loss apps have a significantly higher retention rate compared to the overall health and fitness app category. A 50% higher retention rate suggests that users of AI-based weight loss apps are more likely to continue using the app over time compared to users of other health and fitness apps. This could be due to the personalized, data-driven approach that AI technology offers, resulting in a more engaging and effective user experience. The statistic implies that AI-based weight loss apps are more successful in keeping users engaged and motivated, potentially leading to better outcomes in terms of weight loss and overall health improvement.

30% of weight loss app users important their data to other health and wellness apps, showing a significant integration of AI services.

The statistic stating that 30% of weight loss app users import their data to other health and wellness apps indicates a noteworthy trend towards integrating Artificial Intelligence services in the health and wellness sector. This significant percentage of users leveraging AI-driven technology suggests a growing reliance on advanced digital solutions for optimizing their health journey. By sharing their weight loss data with other apps, users are likely seeking a more comprehensive and personalized approach to managing their well-being, leveraging the analytical power of AI to gain deeper insights and tailored recommendations. This integration of AI services across different health platforms reflects a shift towards a more interconnected and data-driven approach to achieving wellness goals in today’s digital age.

AI-based weight loss interventions have an average success rate of 1.5 – 2.5 lbs/per week

The statistic ‘AI-based weight loss interventions have an average success rate of 1.5 – 2.5 lbs per week’ indicates the typical amount of weight that individuals can expect to lose when using artificial intelligence technology as a tool to aid in their weight loss efforts. This range suggests that, on average, individuals following AI-based interventions could experience a weight loss of between 1.5 to 2.5 pounds per week. This rate of weight loss is considered gradual and sustainable, aligning with the generally recommended guideline of losing 1-2 pounds per week for safe and effective weight management. The use of AI in weight loss interventions may provide personalized plans, motivation, and support that can help individuals achieve their weight loss goals steadily over time.

Conclusion

Despite the promising opportunities presented by AI in the weight loss industry, it is clear that more research and development is needed to fully harness its potential. By leveraging the power of data-driven insights and personalized solutions, AI has the capacity to revolutionize the way individuals approach weight management and lead to more effective and sustainable outcomes. As technology continues to advance, we can expect to see even greater integration of AI in the weight loss industry, ultimately providing individuals with the tools they need to achieve their health and wellness goals.

References

0. – https://www.www.grandviewresearch.com

1. – https://www.www.fortunebusinessinsights.com

2. – https://www.www.nature.com

3. – https://www.techcrunch.com

4. – https://www.www.worldofmobileapps.co

5. – https://www.www.emarketer.com

6. – https://www.www.churnzero.net

7. – https://www.pubmed.ncbi.nlm.nih.gov

8. – https://www.www.accenture.com

9. – https://www.builtin.com

10. – https://www.www.mobihealthnews.com

11. – https://www.www.businessofapps.com

12. – https://www.www.globenewswire.com

How we write our statistic reports:

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly.

See our Editorial Process.

Table of Contents

... Before You Leave, Catch This! 🔥

Your next business insight is just a subscription away. Our newsletter The Week in Data delivers the freshest statistics and trends directly to you. Stay informed, stay ahead—subscribe now.

Sign up for our newsletter and become the navigator of tomorrow's trends. Equip your strategy with unparalleled insights!