100+ datasets found
  1. Share of people who have tried a diet to lose weight in European countries...

    • statista.com
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    Statista, Share of people who have tried a diet to lose weight in European countries 2018 [Dataset]. https://www.statista.com/statistics/988089/share-of-people-who-have-tried-a-diet-to-lose-weight-in-europe/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 24, 2018 - Sep 7, 2018
    Area covered
    Europe
    Description

    This report displays the findings of a survey on the share of individuals who had tried a diet to lose weight in selected European countries 2018. During the survey period, it was reported that ** percent of polled British individuals reported that they had had tried a diet in order to lose weight. This was **** percent more than in Italy.

  2. Weight loss: how consumers change their diet in North America 2014

    • statista.com
    Updated Jan 20, 2015
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    Statista (2015). Weight loss: how consumers change their diet in North America 2014 [Dataset]. https://www.statista.com/statistics/383421/weight-loss-how-consumers-change-diet-north-america/
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    Dataset updated
    Jan 20, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 13, 2014 - Sep 5, 2014
    Area covered
    North America
    Description

    This statistic presents the results of a survey conducted from August 13 to September 5, 2014. Internet users in North America were asked how they change their diet in order to lose weight. Among those, who are changing their diet to lose some kilograms, some ** percent of consumers in North America indicated they were eating the same, but having smaller portion sizes.

  3. Hypothetical Diet and Weight Loss Dataset

    • kaggle.com
    zip
    Updated Oct 26, 2024
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    Abdullah M Almutairi (2024). Hypothetical Diet and Weight Loss Dataset [Dataset]. https://www.kaggle.com/datasets/abdullahmalmutairi/diet-weightloss-study
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    zip(400 bytes)Available download formats
    Dataset updated
    Oct 26, 2024
    Authors
    Abdullah M Almutairi
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    This dataset is a fictional representation of a study comparing the weight loss outcomes of three different diets: **low-carb, low-fat, and Mediterranean. ** Each group contains 10 participants with recorded weight loss in kilograms over a certain period, along with their ages as a covariate. The dataset is ideal for practicing analysis of covariance (ANCOVA) to understand the influence of diet type on weight loss, considering age as a factor.

    Columns:

    Age: Age of the participant (years) Diet_Type: The type of diet followed by the participant (Low-Carb, Low-Fat, Mediterranean) Weight_Loss_kg: Weight loss of the participant (kilograms)

    This is a simulated dataset for educational purposes. Please credit appropriately if used in your projects.

  4. d

    Data from: Weight loss maintenance in women two to eleven years after...

    • catalog.data.gov
    • data.virginia.gov
    • +1more
    Updated Sep 6, 2025
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    National Institutes of Health (2025). Weight loss maintenance in women two to eleven years after participating in a commercial program: a survey [Dataset]. https://catalog.data.gov/dataset/weight-loss-maintenance-in-women-two-to-eleven-years-after-participating-in-a-commercial-p
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    Dataset updated
    Sep 6, 2025
    Dataset provided by
    National Institutes of Health
    Description

    Background After 5 years, most reports show that less than 10% of people maintain a 5% loss from initial body weight. Weight maintenance after 10 years is rarely assessed, especially in commercial programs. The current article reports weight maintenance in individuals who had participated 2 to 11 years earlier in a popular commercial weight loss program based on Canada's Food Guide called Mincavi. Methods Randomly picked subjects answered a telephone questionnaire. Participants, 291 adult women from various regions of the province of Quebec, had followed the program 2 to 11 years earlier for at least a month. Body weight at the beginning and at the end of treatment was recorded as well as actual weight, age and height. Existing records allowed partial verification of the sample. Results Based on corrected weights, percentage of women who maintained at least 5% of their initial weight loss are as following; 2 years = 43.6% (n = 55), 3 years = 33.3% (n = 42), 4 years = 23.8% (n = 42), 5–6 years = 38.2% (n = 55), 7–8 years = 29.4% (n = 51), and 9–11 years; 19.6% (n = 46). Five to eleven years after they had participated in the program 29.1% of all women maintained a weight loss of at least 5%, while 14.3% maintained a loss of at least 10%. Conclusions Even though success rate is not as high as could be wished for, results show that participation in the Mincavi program can lead to effective weight maintenance long after individuals have left it. These findings suggest more thorough studies should be conducted on this weight loss program.

  5. Weight loss: how consumers change their diet worldwide by region 2014

    • statista.com
    Updated Jan 20, 2015
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    Statista (2015). Weight loss: how consumers change their diet worldwide by region 2014 [Dataset]. https://www.statista.com/statistics/383409/weight-loss-how-consumers-change-their-diet-worldwide-by-region/
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    Dataset updated
    Jan 20, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 13, 2014 - Sep 5, 2014
    Area covered
    Worldwide
    Description

    This statistic presents the results of a survey conducted from August 13 to September 5, 2014. Internet users worldwide were polled how they change their diet in order to lose weight. Among those, who are trying to lose some kilograms, ** percent of European consumers indicated they were eating more natural and fresh foods in order to reduce their body weight.

  6. F

    Weight Loss and Weight Management Market Size, Share, Growth Analysis Report...

    • fnfresearch.com
    pdf
    Updated Oct 31, 2025
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    Facts and Factors (2025). Weight Loss and Weight Management Market Size, Share, Growth Analysis Report By Diet (Meal, Supplement, and Beverage), By Service (Fitness Centers, Consulting Services, Slimming Centers, and Online Programs), and By Region - Global and Regional Industry Insights, Overview, Comprehensive Analysis, Trends, Statistical Research, Market Intelligence, Historical Data and Forecast 2022 – 2030 [Dataset]. https://www.fnfresearch.com/weight-loss-and-weight-management-market
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Oct 31, 2025
    Dataset authored and provided by
    Facts and Factors
    License

    https://www.fnfresearch.com/privacy-policyhttps://www.fnfresearch.com/privacy-policy

    Time period covered
    2022 - 2030
    Area covered
    Global
    Description

    [232+ Pages Report] The global weight loss and weight management market size is expected to grow from USD 224.27 billion in 2021 to USD 405.4 billion by 2030, at a CAGR of 6.84% from 2022-2030

  7. d

    Statistics on Obesity, Physical Activity and Diet (replaced by Statistics on...

    • digital.nhs.uk
    Updated May 5, 2020
    + more versions
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    (2020). Statistics on Obesity, Physical Activity and Diet (replaced by Statistics on Public Health) [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/statistics-on-obesity-physical-activity-and-diet
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    Dataset updated
    May 5, 2020
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Apr 1, 2018 - Dec 31, 2019
    Description

    This report presents information on obesity, physical activity and diet drawn together from a variety of sources for England. More information can be found in the source publications which contain a wider range of data and analysis. Each section provides an overview of key findings, as well as providing links to relevant documents and sources. Some of the data have been published previously by NHS Digital. A data visualisation tool (link provided within the key facts) allows users to select obesity related hospital admissions data for any Local Authority (as contained in the data tables), along with time series data from 2013/14. Regional and national comparisons are also provided. The report includes information on: Obesity related hospital admissions, including obesity related bariatric surgery. Obesity prevalence. Physical activity levels. Walking and cycling rates. Prescriptions items for the treatment of obesity. Perception of weight and weight management. Food and drink purchases and expenditure. Fruit and vegetable consumption. Key facts cover the latest year of data available: Hospital admissions: 2018/19 Adult obesity: 2018 Childhood obesity: 2018/19 Adult physical activity: 12 months to November 2019 Children and young people's physical activity: 2018/19 academic year

  8. Data from: Quality of diet plans for weight loss featured in women's...

    • scielo.figshare.com
    jpeg
    Updated May 30, 2023
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    Maiara Martinighi; Edina Mariko Koga da Silva (2023). Quality of diet plans for weight loss featured in women's magazines. A cross-sectional descriptive study [Dataset]. http://doi.org/10.6084/m9.figshare.5667319.v1
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    jpegAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Maiara Martinighi; Edina Mariko Koga da Silva
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ABSTRACT CONTEXT AND OBJECTIVE: Brazil has the fifth largest population of obese individuals in the world. Women’s magazines publish a large number of diet plans, and therefore the objective of this study was to assess the quality of these plans. DESIGN: Cross-sectional descriptive study. METHODS: We included the Brazilian women’s magazines of highest circulation published between January and June 2014 that advertised diets for weight loss on their covers. We extracted the quantities of macro and micronutrients from each of these diet plans and compared these quantities with the World Health Organization nutritional guidelines for adult women. We also checked the total energy quantities of these plans, and any recommendations about water intake and physical activity. RESULTS: We identified 136 potentially eligible magazine issues; 41 were excluded and 95 issues of 6 different magazines were included in the study. We found that 83.1 % of the plans had carbohydrate and fiber levels below the recommendations. On the other hand, the protein and saturated fatty acid levels were above the recommendations in 97.8% and 95.7% of the plans, respectively; 75.7% of the diets had inadequate calcium levels and 70.5% had low iron levels. Only 30 plans specified the total daily quantity of dietary energy and in 53.3% of these, the information was inconsistent with our estimates; 20% of the plans had no recommendations on daily water intake and 37.5% did not give recommendations regarding physical activity practices. CONCLUSION: The diet plans for weight loss featured in Brazilian women’s magazines are of low quality.

  9. Following a weight-loss diet in Poland 2024, by gender

    • statista.com
    Updated Jun 28, 2019
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    Statista (2019). Following a weight-loss diet in Poland 2024, by gender [Dataset]. https://www.statista.com/statistics/1237904/poland-following-a-slimming-diet-by-gender/
    Explore at:
    Dataset updated
    Jun 28, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Poland
    Description

    Weight-loss diets are much more prevalent among women than men. In 2024, ever on such a diet were ** percent of women and ** percent of men in Poland.

  10. Data from: In-hospital weight loss, prescribed diet and food acceptance

    • scielo.figshare.com
    xls
    Updated Jun 3, 2023
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    Vania Aparecida LEANDRO-MERHI; Silvana Mariana SREBERNICH; Gisele Mara Silva GONÇALVES; José Luiz Braga de AQUINO (2023). In-hospital weight loss, prescribed diet and food acceptance [Dataset]. http://doi.org/10.6084/m9.figshare.19970580.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Vania Aparecida LEANDRO-MERHI; Silvana Mariana SREBERNICH; Gisele Mara Silva GONÇALVES; José Luiz Braga de AQUINO
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BACKGROUND: Weight loss and malnutrition may be caused by many factors, including type of disease and treatment. AIM: The present study investigated the occurrence of in-hospital weight loss and related factors. METHOD: This cross-sectional study investigated the following variables of 456 hospitalized patients: gender, age, disease, weight variation during hospital stay, and type and acceptance of the prescribed diet. Repeated measures analysis of variance (ANOVA) was used for comparing patients' weight in the first three days in hospital stay and determining which factors affect weight. The generalized estimating equation was used for comparing the food acceptance rates. The significance level was set at 5%. RESULTS: The most prescribed diet was the regular (28.8%) and 45.5% of the patients lost weight during their stay. Acceptance of hospital food increased from the first to the third days of stay (p=0.0022) but weight loss was still significant (p

  11. f

    2020 Diet Trends & U.S. Consumer Data on Weight Loss

    • fatposglobal.com
    csv, xml
    Updated Jan 15, 2025
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    Market View Insight (2025). 2020 Diet Trends & U.S. Consumer Data on Weight Loss [Dataset]. https://www.fatposglobal.com/blog/diet-trends-and-u-s-consumer-data-on-weight-loss
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    xml, csvAvailable download formats
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    Market View Insight
    License

    https://fatposglobal.com/privacy-policyhttps://fatposglobal.com/privacy-policy

    Time period covered
    Jan 1, 1950 - Dec 18, 2013
    Dataset funded by
    Market View Insight
    Description

    2020 Diet Trends & U.S. Consumer Data on Weight Loss

    Millions of customers pledge to lose weight or change their eating patterns at the start of January every year. However, the goals for the New Year do not usually last longer than a few weeks. Most individuals return to their normal eating habits by the mid of February. However, many individuals with a strong determination can adopt a weight loss diet effectively, whether over the year or as necessary. Some te.....

  12. f

    Data_Sheet_1_Predicting weight loss success on a new Nordic diet: an...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Aug 1, 2023
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    Pigsborg, Kristina; Astrup, Arne; Engelsen, Søren Balling; Demharter, Samuel; Hjorth, Mads Fiil; Aldubayan, Mona Adnan; Trimigno, Alessia; Magkos, Faidon; Khakimov, Bekzod; Stentoft-Larsen, Valdemar; Dragsted, Lars Ove (2023). Data_Sheet_1_Predicting weight loss success on a new Nordic diet: an untargeted multi-platform metabolomics and machine learning approach.docx [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000989108
    Explore at:
    Dataset updated
    Aug 1, 2023
    Authors
    Pigsborg, Kristina; Astrup, Arne; Engelsen, Søren Balling; Demharter, Samuel; Hjorth, Mads Fiil; Aldubayan, Mona Adnan; Trimigno, Alessia; Magkos, Faidon; Khakimov, Bekzod; Stentoft-Larsen, Valdemar; Dragsted, Lars Ove
    Description

    Background and aimResults from randomized controlled trials indicate that no single diet performs better than other for all people living with obesity. Regardless of the diet plan, there is always large inter-individual variability in weight changes, with some individuals losing weight and some not losing or even gaining weight. This raises the possibility that, for different individuals, the optimal diet for successful weight loss may differ. The current study utilized machine learning to build a predictive model for successful weight loss in subjects with overweight or obesity on a New Nordic Diet (NND).MethodsNinety-one subjects consumed an NND ad libitum for 26 weeks. Based on their weight loss, individuals were classified as responders (weight loss ≥5%, n = 46) or non-responders (weight loss <2%, n = 24). We used clinical baseline data combined with baseline urine and plasma untargeted metabolomics data from two different analytical platforms, resulting in a data set including 2,766 features, and employed symbolic regression (QLattice) to develop a predictive model for weight loss success.ResultsThere were no differences in clinical parameters at baseline between responders and non-responders, except age (47 ± 13 vs. 39 ± 11 years, respectively, p = 0.009). The final predictive model for weight loss contained adipic acid and argininic acid from urine (both metabolites were found at lower levels in responders) and generalized from the training (AUC 0.88) to the test set (AUC 0.81). Responders were also able to maintain a weight loss of 4.3% in a 12 month follow-up period.ConclusionWe identified a model containing two metabolites that were able to predict the likelihood of achieving a clinically significant weight loss on an ad libitum NND. This work demonstrates that models based on an untargeted multi-platform metabolomics approach can be used to optimize precision dietary treatment for obesity.

  13. Additional file 1: of Changes in diet quality during a 12 month weight loss...

    • springernature.figshare.com
    xlsx
    Updated Jun 1, 2023
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    Cinthya Wibisono; Yasmine Probst; Elizabeth Neale; Linda Tapsell (2023). Additional file 1: of Changes in diet quality during a 12 month weight loss randomised controlled trial [Dataset]. http://doi.org/10.6084/m9.figshare.c.3744263_D1.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Cinthya Wibisono; Yasmine Probst; Elizabeth Neale; Linda Tapsell
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Table S1. List of food groups classified as 'positive', 'negative' and 'neutral' in the a priori diet quality score (APDQS). This file contains the list of food groups classified as ‘positive, ‘negative’ and ‘neutral, in the a priori diet quality score (APDQS). Table S2. Median daily consumption of food groups from the Diet Quality Tracker (DQT). This file contains data relating to the median daily consumption of food groups used in the Diet Quality Tracker (DQT). Table S3. Median daily consumption of food groups from the a priori diet quality score (APDQS). This file contains data relating to the median daily consumption of food groups used in the a priori diet quality score (APDQS). Table S4. Median daily nutrient intakes as reported in diet histories. This file contains data relating to the median daily nutrient intakes from the HealthTrack study diet history data used for analysis of this study. (XLSX 50 kb)

  14. G

    Digital Weight Loss Program Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 4, 2025
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    Growth Market Reports (2025). Digital Weight Loss Program Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/digital-weight-loss-program-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Aug 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Digital Weight Loss Program Market Outlook



    According to our latest research, the global digital weight loss program market size reached USD 6.1 billion in 2024, demonstrating robust expansion driven by the increasing adoption of digital health solutions. The market is expected to grow at a CAGR of 17.4% during the forecast period, reaching an estimated USD 22.1 billion by 2033. This impressive growth trajectory is fueled by rising health awareness, the proliferation of smartphones and wearable devices, and a growing preference for personalized health management solutions. As per our analysis, the digital weight loss program market is witnessing a paradigm shift from traditional, in-person weight management programs to innovative, technology-driven platforms that offer convenience, personalization, and real-time progress tracking for users globally.




    A major growth factor for the digital weight loss program market is the increasing prevalence of obesity and lifestyle-related health disorders worldwide. The World Health Organization estimates that over 1.9 billion adults were overweight in 2023, with more than 650 million classified as obese. This alarming rise in obesity rates is directly linked to sedentary lifestyles, unhealthy eating habits, and limited physical activity, particularly in urbanized regions. As a result, there is a surging demand for accessible, effective, and engaging weight management solutions. Digital weight loss programs offer a unique value proposition by leveraging advanced technologies such as artificial intelligence, machine learning, and data analytics to deliver tailored recommendations, ongoing motivation, and community support, thereby enhancing user engagement and improving weight loss outcomes.




    Another significant driver propelling the digital weight loss program market is the widespread adoption of smartphones, mobile applications, and wearable fitness trackers. With over 6.8 billion smartphone users globally in 2024, mobile platforms have become the primary channel for accessing health and wellness services. The integration of digital weight loss programs with wearable devices and health monitoring apps enables users to seamlessly track their physical activity, calorie intake, and progress toward weight loss goals in real time. This convergence of technology and health management has democratized access to professional-grade guidance and support, making weight loss solutions more affordable and scalable than ever before. Furthermore, the COVID-19 pandemic accelerated the adoption of virtual health services, driving both consumer and provider interest in digital weight management platforms.




    Personalization and behavioral science are also playing a crucial role in the evolution of the digital weight loss program market. Modern platforms increasingly utilize sophisticated algorithms and user data to offer individualized diet plans, fitness routines, and behavioral interventions tailored to each user’s unique needs, preferences, and health status. This shift toward personalized digital health solutions not only enhances user satisfaction but also drives higher retention rates and better long-term outcomes. The integration of gamification, social networking, and virtual coaching further motivates users to adhere to their weight loss journeys, fostering a sense of accountability and community. As consumer expectations evolve, digital weight loss platforms are continuously innovating to deliver more engaging, science-backed, and outcome-oriented experiences.




    From a regional perspective, North America remains the dominant market for digital weight loss programs, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The United States, in particular, has witnessed a surge in demand, attributed to high obesity rates, advanced healthcare infrastructure, and a strong culture of health and fitness innovation. Meanwhile, the Asia Pacific region is expected to exhibit the fastest growth rate, driven by rising disposable incomes, increasing smartphone penetration, and growing health consciousness among urban populations. Latin America and the Middle East & Africa are also emerging as promising markets, although challenges such as limited digital infrastructure and lower health awareness may temper growth in the short term.



  15. W

    Weight Loss Diet Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Nov 7, 2025
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    Data Insights Market (2025). Weight Loss Diet Report [Dataset]. https://www.datainsightsmarket.com/reports/weight-loss-diet-1242832
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Nov 7, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Explore the thriving global weight loss diet market projected to reach USD 350 billion by 2025 with an 8.5% CAGR. Discover key drivers, trends, and segments shaping this dynamic industry.

  16. Weight Management Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    pdf
    Updated Jul 17, 2025
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    Technavio (2025). Weight Management Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, and UK), APAC (China, India, Japan, and South Korea), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/weight-management-market-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jul 17, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    Germany, United Kingdom, United States, Canada
    Description

    Snapshot img

    Weight Management Market Size 2025-2029

    The weight management market size is forecast to increase by USD 114.79 billion at a CAGR of 10.9% between 2024 and 2029.

    The market is driven by the growing obese population and rising demand for weight management services from developing economies. The increasing prevalence of obesity and related health issues globally presents a significant opportunity for market participants. However, marketing challenges associated with weight management products and services pose a significant hurdle. The stigma surrounding obesity and the perception that weight loss is a personal responsibility rather than a health issue create barriers to market penetration. Health insurance plays a pivotal role in covering costs, while fitness apps and mobile health apps enhance accessibility and tracking.
    Companies seeking to capitalize on market opportunities must address these challenges through innovative marketing strategies, affordable pricing, and education initiatives to shift societal perceptions and increase accessibility to weight management services. By focusing on these areas, market participants can effectively navigate challenges and capitalize on the growing demand for weight management solutions. Innovative weight management solutions include waistline control, fitness equipment, surgical equipment, healthy dietary choices, and lifestyle changes.
    

    What will be the Size of the Weight Management Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    The market for weight management solutions continues to evolve, reflecting the complex and multifaceted nature of weight management and its applications across various sectors. Sleeve gastrectomy and adjustable gastric banding are among the surgical interventions, while anti-obesity medications and pharmacological interventions offer alternative approaches. The prevalence of metabolic syndrome and its associated health risks, including cardiovascular disease and type 2 diabetes, underscores the urgency for sustainable weight loss solutions. Mindful eating, nutrition education, and meal planning are essential components of health behavior modification, while physical fitness and regular exercise routines contribute to weight regain prevention. Fitness and recreational sports centers are offering a wide range of HIIT classes, and HIIT fitness videos are flooding the market.

    Hormonal imbalance and stress management are also crucial factors in weight management. The industry is expected to grow by 5.3% annually, driven by the increasing prevalence of obesity and related health issues. For instance, a study showed that patients who underwent bariatric surgery experienced an average weight loss of 30% within the first year. Social media and the young population's hectic lifestyles have led to increased fast food consumption and weight-related health issues, necessitating preventive measures and weight management programs. Additionally, the complexity and cost of weight management solutions can deter potential customers, particularly in developing economies with limited resources.

    How is this Weight Management Industry segmented?

    The weight management industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Type
    
      Diet
      Equipment
      Services
    
    
    Distribution Channel
    
      Offline
      Online
    
    
    End-user
    
      Fitness centers and health clubs
      Commercial weight loss centers
      Online weight loss programs
      Slimming centers
      Others
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      Rest of World (ROW)
    

    By Type Insights

    The Diet segment is estimated to witness significant growth during the forecast period. The market is driven by the growing concern over health issues related to visceral fat, weight fluctuation, and obesity. Obesity, characterized by a body mass index (BMI) of 30 or higher, affects over one-third of the global population. This condition can lead to various health complications, including high blood pressure, joint problems, diabetes, and insulin sensitivity issues. To combat these health concerns, weight loss programs focusing on calorie expenditure through diet and physical activity have gained popularity. Diets, specifically, dominate the market, as they offer a more sustainable approach to weight management. Nutritional counseling and micronutrient intake are essential components of effective weight loss programs, ensuring a balanced macronutrient and micronutrient intake. Obesity rates continue to rise, fueling the demand for

  17. Foods and nutrients consumed for weight loss/management in the U.S. in 2022

    • statista.com
    Updated Apr 27, 2023
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    Statista (2023). Foods and nutrients consumed for weight loss/management in the U.S. in 2022 [Dataset]. https://www.statista.com/statistics/1378971/foods-and-nutrients-consumed-for-weight-loss-management-us/
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    Dataset updated
    Apr 27, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 23, 2022 - Apr 4, 2022
    Area covered
    United States
    Description

    In 2022, vegetables, such as leafy greens, broccoli, carrots, were the most frequently mentioned food that consumers in the United States eat to reduce or manage their weight, with approximately ** percent of respondents mentioning them. The second most frequently mentioned food were fruits (dried or fresh), which were mentioned by about ** percent of respondents.

  18. s

    Student response to question: Are you on a diet to lose weight, by sex, age...

    • www150.statcan.gc.ca
    • datasets.ai
    • +2more
    Updated Jan 29, 2007
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    Government of Canada, Statistics Canada (2007). Student response to question: Are you on a diet to lose weight, by sex, age group and selected countries [Dataset]. http://doi.org/10.25318/1310023901-eng
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    Dataset updated
    Jan 29, 2007
    Dataset provided by
    Government of Canada, Statistics Canada
    Area covered
    Canada
    Description

    This table contains 522 series, with data for years 1994 - 1998 (not all combinations necessarily have data for all years), and was last released on 2007-01-29. This table contains data described by the following dimensions (Not all combinations are available): Geography (29 items: Austria; Belgium (Flemish speaking); Canada; Belgium (French speaking) ...) Sex (2 items: Males; Females ...) Age groups (3 items: 11 years; 15 years; 13 years ...) Student response (3 items: Yes; No; because my weight is fine; No; but I need to lose weight ...).

  19. RAW Data Excel and SPSS

    • figshare.com
    xlsx
    Updated Sep 25, 2024
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    Jamil Ahmed (2024). RAW Data Excel and SPSS [Dataset]. http://doi.org/10.6084/m9.figshare.27101149.v1
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    xlsxAvailable download formats
    Dataset updated
    Sep 25, 2024
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Jamil Ahmed
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This cross-sectional study aimed to determine the prevalence of obesity and perceived barriers to weight loss in 1453 Bahraini adults who had used any intervention to lose weight in the past year. We found a high prevalence (78.2%) of overweight and obesity. Females were more likely to have obesity compared to males (81.4% vs. 66.7%). Older individuals aged 36-45 were 3.37 times, and 45 or older were 3.56 times more likely to have obesity. Married participants had higher odds of obesity compared to single participants (OR=1.79). Participants with obesity were more likely to be unemployed compared to students (OR=1.49). The most common contributing factors to weight gain were lack of physical activity (29.5%) and unhealthy diet (29.2%). Participants with obesity were more likely to have relied on dieting (OR=2.53) or exercise (OR=1.47) for weight loss and used medication (OR=5.23). This study highlights the complex relationship between sociodemographic factors, lifestyle behaviors, and obesity and sustaining weight loss.

  20. F

    Weight Loss Diet Market By Type (Green Tea, Better-For-You Food & Beverages,...

    • fnfresearch.com
    pdf
    Updated Nov 23, 2025
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    Facts and Factors (2025). Weight Loss Diet Market By Type (Green Tea, Better-For-You Food & Beverages, Low-Calorie Sweeteners, Meal Replacements, and Weight Loss Supplements) and By Distribution Channel (Multi-Level Marketing, Small Retail, Large Retail, Health And Beauty Stores, and Online Stores): Global Industry Outlook, Market Size, Business Intelligence, Consumer Preferences, Statistical Surveys, Comprehensive Analysis, Historical Developments, Current Trends, and Forecast 2020–2026 [Dataset]. https://www.fnfresearch.com/weight-loss-diet-market-by-type-green-tea-927
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    pdfAvailable download formats
    Dataset updated
    Nov 23, 2025
    Dataset authored and provided by
    Facts and Factors
    License

    https://www.fnfresearch.com/privacy-policyhttps://www.fnfresearch.com/privacy-policy

    Time period covered
    2022 - 2030
    Area covered
    Global
    Description

    Global Weight Loss Diet market is expected to grow at a CAGR of 7% and is anticipated to reach around USD 315 billion by 2026. The diet for weight loss is high fiber food and drink, low calories, low sodium intake, and other bodyweight control products.

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Statista, Share of people who have tried a diet to lose weight in European countries 2018 [Dataset]. https://www.statista.com/statistics/988089/share-of-people-who-have-tried-a-diet-to-lose-weight-in-europe/
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Share of people who have tried a diet to lose weight in European countries 2018

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Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Aug 24, 2018 - Sep 7, 2018
Area covered
Europe
Description

This report displays the findings of a survey on the share of individuals who had tried a diet to lose weight in selected European countries 2018. During the survey period, it was reported that ** percent of polled British individuals reported that they had had tried a diet in order to lose weight. This was **** percent more than in Italy.

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