The prevalence of obesity in the United States has risen gradually over the past decade. As of 2023, around ** percent of the population aged 18 years and older was obese. Obesity is a growing problem in many parts of the world, but is particularly troubling in the United States. Obesity in the United States The states with the highest prevalence of obesity are West Virginia, Mississippi, and Arkansas. As of 2023, a shocking ** percent of the population in West Virginia were obese. The percentage of adults aged 65 years and older who are obese has grown in recent years, compounding health issues that develop with age. Health impacts of obesity Obesity is linked to several negative health impacts including cardiovascular disease, diabetes, and certain types of cancer. Unsurprisingly, the prevalence of diagnosed diabetes has increased in the United States over the years. As of 2022, around *** percent of the population had been diagnosed with diabetes. Some of the most common types of cancers caused by obesity include breast cancer in postmenopausal women, colon and rectum cancer, and corpus and uterus cancer.

In 2023, it was estimated that around 37 percent of adults with an annual income of less than 15,000 U.S. dollars were obese, compared to 29 percent of those with an annual income of 75,000 dollars or more. This statistic shows the percentage of U.S. adults who were obese in 2023, by income.

In 2022, the highest incidence of obesity-associated cancer in the United States was among Black individuals, with a rate of 184 per 100,000 people. This graph shows the rate of obesity-related cancers per 100,000 people in the United States in 2022, by race and ethnicity.

United States US: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data was reported at 6.900 % in 2012. This records an increase from the previous number of 6.400 % for 2009. United States US: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 6.900 % from Dec 1991 (Median) to 2012, with 6 observations. The data reached an all-time high of 8.700 % in 2005 and a record low of 5.100 % in 1991. United States US: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Prevalence of overweight, female, is the percentage of girls under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Estimates of overweight children are also from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues

Between 2017 and 2021, West Virginia had the highest incidence of obesity-associated cancer in the United States, with a rate of 188 per 100,000 people. This graph shows the rate of obesity-related cancers per 100,000 people from 2017 to 2021 in the United States, by state.

Obesity has become a major concern for health officials in the United States. Rates of obesity are higher than ever before and as a result, consequential medical conditions have arisen in those who suffer from obesity; while at the same time, medical expenses are skyrocketing for these same individuals. In this study, I analyze regional trends in the United States of both obesity rates and walkability in 74 cities in the United States. After analyzing the data and constructing visual representations, I found that the Northeast region of the US is most walkable, while the Southeast and Southwestern regions are the least walkable. In regards to obesity rates, I found that the West had the lowest obesity rates in both 2010 and 2013, while the Midwest and the Southeast had a high obesity rate in both 2010 and 2013. Additionally, the Northeastern US had a high obesity rate in 2013.

In 2023, Black adults had the highest obesity rates of any race or ethnicity in the United States, followed by American Indians/Alaska Natives and Hispanics. As of that time, around ** percent of all Black adults were obese. Asians/Pacific Islanders had by far the lowest obesity rates. Obesity in the United States Obesity is a present and growing problem in the United States. An astonishing ** percent of the adult population in the U.S. is now considered obese. Obesity rates can vary substantially by state, with around ** percent of the adult population in West Virginia reportedly obese, compared to ** percent of adults in Colorado. The states with the highest rates of obesity include West Virginia, Mississippi, and Arkansas. Diabetes Being overweight and obese can lead to a number of health problems, including heart disease, cancer, and diabetes. Being overweight or obese is one of the most common causes of type 2 diabetes, a condition in which the body does not use insulin properly, causing blood sugar levels to rise. It is estimated that just over ***** percent of adults in the U.S. have been diagnosed with diabetes. Diabetes is now the seventh leading cause of death in the United States, accounting for ***** percent of all deaths.

United States Prevalence of Overweight: % of Adults data was reported at 67.900 % in 2016. This records an increase from the previous number of 67.400 % for 2015. United States Prevalence of Overweight: % of Adults data is updated yearly, averaging 55.200 % from Dec 1975 (Median) to 2016, with 42 observations. The data reached an all-time high of 67.900 % in 2016 and a record low of 41.000 % in 1975. United States Prevalence of Overweight: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Social: Health Statistics. Prevalence of overweight adults is the percentage of adults ages 18 and over whose Body Mass Index (BMI) is more than 25 kg/m2. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;;

This dataset includes select data from the U.S. Census Bureau's American Community Survey (ACS) on the percent of adults who bike or walk to work. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about ACS visit https://www.census.gov/programs-surveys/acs/.

United States US: Prevalence of Overweight: Weight for Height: % of Children Under 5 data was reported at 6.000 % in 2012. This records a decrease from the previous number of 7.800 % for 2009. United States US: Prevalence of Overweight: Weight for Height: % of Children Under 5 data is updated yearly, averaging 7.000 % from Dec 1991 (Median) to 2012, with 5 observations. The data reached an all-time high of 8.100 % in 2005 and a record low of 5.400 % in 1991. United States US: Prevalence of Overweight: Weight for Height: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; Linear mixed-effect model estimates; Estimates of overweight children are also from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues

West Virginia, Mississippi, and Arkansas are the U.S. states with the highest percentage of their population who are obese. The states with the lowest percentage of their population who are obese include Colorado, Hawaii, and Massachusetts. Obesity in the United States Obesity is a growing problem in many countries around the world, but the United States has the highest rate of obesity among all OECD countries. The prevalence of obesity in the United States has risen steadily over the previous two decades, with no signs of declining. Obesity in the U.S. is more common among women than men, and overweight and obesity rates are higher among African Americans than any other race or ethnicity. Causes and health impacts Obesity is most commonly the result of a combination of poor diet, overeating, physical inactivity, and a genetic susceptibility. Obesity is associated with various negative health impacts, including an increased risk of cardiovascular diseases, certain types of cancer, and diabetes type 2. As of 2022, around 8.4 percent of the U.S. population had been diagnosed with diabetes. Diabetes is currently the eighth leading cause of death in the United States.

Non-communicable diseases (NCDs) such as cardiovascular disease and stroke are a major public health concern across Latin America. A key modifiable risk factor for NCDs is overweight and obesity highlighting the need for policy to reduce prevalence rates and ameliorate rising levels of NCDs. A cross-sectional regression analysis was used to project BMI and related disease trends to 2050. We tested the extent to which interventions that decrease body mass index (BMI) have an effect upon the number of incidence cases avoided for each disease. Without intervention obesity trends will continue to rise across much of Latin America. Effective interventions are necessary if rates of obesity and related diseases are to be reduced.

These data are from the 2013 California Dietary Practices Surveys (CDPS), 2012 California Teen Eating, Exercise and Nutrition Survey (CalTEENS), and 2013 California Children’s Healthy Eating and Exercise Practices Surveys (CalCHEEPS). These surveys have been discontinued. Adults, adolescents, and children (with parental assistance) were asked for their current height and weight, from which, body mass index (BMI) was calculated. For adults, a BMI of 30.0 and above is considered obese. For adolescents and children, obesity is defined as having a BMI at or above the 95th percentile, according to CDC growth charts.

The California Dietary Practices Surveys (CDPS), the California Teen Eating, Exercise and Nutrition Survey (CalTEENS), and the California Children’s Healthy Eating and Exercise Practices Surveys (CalCHEEPS) (now discontinued) were the most extensive dietary and physical activity assessments of adults 18 years and older, adolescents 12 to 17, and children 6 to 11, respectively, in the state of California. CDPS and CalCHEEPS were administered biennially in odd years up through 2013 and CalTEENS was administered biennially in even years through 2014. The surveys were designed to monitor dietary trends, especially fruit and vegetable consumption, among Californias for evaluating their progress toward meeting the Dietary Guidelines for Americans and the Healthy People 2020 Objectives. All three surveys were conducted via telephone. Adult and adolescent data were collected using a list of participating CalFresh households and random digit dial, and child data were collected using only the list of CalFresh households. Older children (9-11) were the primary respondents with some parental assistance. For younger children (6-8), the primary respondent was parents. Data were oversampled for low-income and African American to provide greater sensitivity for analyzing trends among the target population. Wording of the question used for these analyses varied by survey (age group). The questions were worded are as follows: Adult:1) How tall are you without shoes?2) How much do you weigh?Adolescent:1) About how much do you weigh without shoes?2) About how tall are you without shoes? Child:1) How tall is [child's name] now without shoes on?2) How much does [child's name] weigh now without shoes on?

This data represents the age-adjusted prevalence of high total cholesterol, hypertension, and obesity among US adults aged 20 and over between 1999-2000 to 2017-2018. Notes: All estimates are age adjusted by the direct method to the U.S. Census 2000 population using age groups 20–39, 40–59, and 60 and over. Definitions Hypertension: Systolic blood pressure greater than or equal to 130 mmHg or diastolic blood pressure greater than or equal to 80 mmHg, or currently taking medication to lower high blood pressure High total cholesterol: Serum total cholesterol greater than or equal to 240 mg/dL. Obesity: Body mass index (BMI, weight in kilograms divided by height in meters squared) greater than or equal to 30. Data Source and Methods Data from the National Health and Nutrition Examination Surveys (NHANES) for the years 1999–2000, 2001–2002, 2003–2004, 2005–2006, 2007–2008, 2009–2010, 2011–2012, 2013–2014, 2015–2016, and 2017–2018 were used for these analyses. NHANES is a cross-sectional survey designed to monitor the health and nutritional status of the civilian noninstitutionalized U.S. population. The survey consists of interviews conducted in participants’ homes and standardized physical examinations, including a blood draw, conducted in mobile examination centers.

NA: Not applicable, for cells where the zero percent of the population fell into that category.(1) Prevalences and standard errors are calculated using the survey weights from the 5-year visit provided with the dataset. These adjust for unequal probability of selection and response. Survey and subclass estimation commands were used to account for complex sample design.(2) Overweight/obesity is defined as body mass index (BMI) z-score >2 standard deviations (SD) above age- and sex- specific WHO Childhood Growth Standard reference mean at all time points except birth, where we define overweight/obesity as weight-for-age z-score >2 SD above age- and sex- specific WHO Childhood Growth Standard reference mean.(3) To represent socioeconomic status, we used a composite index to capture multiple of the social dimensions of socioeconomic status. This composite index was provided in the ECLS-B data that incorporates information about maternal and paternal education, occupations, and household income to create a variable representing family socioeconomic status on several domains. The variable was created using principal components analysis to create a score for family socioeconomic status, which was then normalized by taking the difference between each score and the mean score and dividing by the standard deviation. If data needed for the composite socioeconomic status score were missing, they were imputed by the ECLS-B analysts [9].(4) We created a 5-category race/ethnicity variable (American Indian/Alaska Native, African American, Hispanic, Asian, white) from the mothers' report of child's race/ethnicity, which originally came 25 race/ethnic categories. To have adequate sample size in race/ethnic categories, we assigned a single race/ethnic category for children reporting more than one race, using an ordered, stepwise approach similar to previously published work using ECLS-B (3). First, any child reporting at least one of his/her race/ethnicities as American Indian/Alaska Native (AIAN) was categorized as AIAN. Next, among remaining respondents, any child reporting at least one of his/her ethnicities as African American was categorized as African American. The same procedure was followed for Hispanic, Asian, and white, in that order. This order was chosen with the goal of preserving the highest numbers of children in the American Indian/Alaska Native group and other non-white ethnic groups in order to estimate relationships within ethnic groups, which is often not feasible due to low numbers.

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Anti-Obesity Drugs Market Size 2025-2029

The anti-obesity drugs market size is forecast to increase by USD 22.91 billion at a CAGR of 15.7% between 2024 and 2029.

The market is experiencing significant growth due to several key factors. The rising obesity population, particularly in North America, is a major driver for this market. Additionally, research and development efforts are focused on creating drugs that can effectively manage both obesity and type 2 diabetes mellitus. This dual-action approach is gaining popularity as many obese individuals are also at risk for developing type 2 diabetes. Furthermore, the availability of telemedicine services and anti-obesity devices is making weight management more accessible and convenient for individuals. These trends are expected to continue fueling the growth of the market In the coming years. The use of anti-obesity drugs can help regulate insulin production and manage weight by reducing appetite and increasing metabolism. These drugs can have a positive impact on overall health and well-being, making them an essential tool In the fight against obesity and related health conditions.

What will be the Size of the Anti-Obesity Drugs Market During the Forecast Period?

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The market encompasses a range of medicines designed to assist individuals struggling with weight management, targeting conditions such as obesity and overweight. These conditions are often linked to chronic diseases, including insulin resistance, glucose intolerance, hypertension, sleep apnea, diabetes mellitus, arthritis, and various lifestyle-related illnesses. The prevalence of obesity and overweight continues to rise globally, driven by energy imbalance, with calories consumed exceeding calories expended. Factors contributing to this imbalance include appetite stimulation, metabolic disorders, and fat absorption. The market for anti-obesity drugs is expected to grow significantly due to the increasing burden of obesity and its associated health complications.
This trend is driven by the growing awareness of the health risks associated with obesity and the desire for effective weight loss solutions. The market caters to both adults and children and adolescents, addressing the rising prevalence of obesity across all age groups. The market's growth is further fueled by the increasing incidence of lifestyle-related factors, such as stress, smoking, and drinking, which contribute to weight gain.

How is this Anti-Obesity Drugs Industry segmented and which is the largest segment?

The anti-obesity drugs 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

  Class III
  Class II anti-obesity drugs
  Class I anti-obesity drugs


Drug Class

  Peripherally acting drugs
  Centrally acting drugs


Distribution Channel

  Hospital pharmacies
  Retail pharmacies
  Drug stores
  E-commerce


Route Of Administration

  Oral route
  Subcutaneous route


Geography

  North America

    Canada
    Mexico
    US


  Europe

    Germany
    UK
    France
    Italy


  Asia

    China
    Japan


  Rest of World (ROW)

By Type Insights

The class III segment is estimated to witness significant growth during the forecast period. The Class III segment dominates The market due to its focus on addressing severe obesity cases. This segment accounts for a significant market share and is expected to continue its leadership during the forecast period. The rise in research and development initiatives by pharmaceutical companies for novel anti-obesity drugs contributes to market expansion. However, it's important to note that pharmacotherapy for obesity can only achieve a certain reduction in Body Mass Index (BMI). Consequently, the Class III anti-obesity drugs segment may witness a decline during the forecast period as patients may require additional measures for sustained weight loss.
Obesity is a chronic condition with a global prevalence that fuels the demand for weight-loss medicines. These medicines target various mechanisms such as appetite suppression, metabolism enhancement, and fat absorption inhibition. Prevalent conditions associated with obesity include cardiovascular diseases, cancers, type-2 diabetes, and sleep apnea. The market caters to various distribution channels, including retail pharmacies, online pharmacies, and hospital pharmacies. Anti-obesity drugs can be administered through oral and subcutaneous routes.

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The class III segment was valued at USD 6.85 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 71% to the growth o

The global digital health market for obesity is experiencing robust growth, driven by increasing prevalence of obesity worldwide, rising adoption of telehealth services, and technological advancements in wearable devices and mobile health applications. The market, valued at approximately $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 18% from 2025 to 2033, reaching an estimated $60 billion by 2033. This significant expansion is fueled by several key factors. Firstly, the escalating global obesity epidemic necessitates innovative solutions for weight management, creating a strong demand for digital health interventions. Secondly, the convenience and accessibility of digital platforms, allowing for remote monitoring and personalized care, are proving increasingly attractive to both patients and healthcare providers. Thirdly, continuous advancements in artificial intelligence (AI) and machine learning (ML) are enhancing the efficacy of digital tools in providing tailored weight loss plans and tracking progress. The market is segmented across various applications (patients, providers, payers), hardware (wearables, sensors), software (apps, platforms), and services (telehealth consultations, remote monitoring). Leading players like WW International, Teladoc Health, and Fitbit are actively shaping the market landscape through continuous innovation and strategic partnerships. The market's growth, however, is not without challenges. Data privacy concerns and regulatory hurdles related to the use of health data remain significant restraints. Furthermore, ensuring the long-term engagement of users with digital weight management programs and addressing the digital divide, particularly in underserved populations, pose ongoing challenges. Despite these hurdles, the considerable market potential, combined with continued technological innovation and increasing patient demand, ensures that the digital health market for obesity will remain a highly attractive sector for investment and growth in the coming years. The geographic distribution of the market reflects global obesity trends, with North America and Europe holding a significant share initially, followed by a rapid expansion in Asia-Pacific regions as awareness and access improve.

Latin America Obesity Management Market growth is driven by rising obesity rates, technological advancements, and supportive government initiatives.

Obese Patient Care System Market Outlook

The global market size for Obese Patient Care Systems was estimated to be around USD 3.2 billion in 2023, with a Compound Annual Growth Rate (CAGR) of approximately 7.5% expected to drive the market to an estimated USD 6.4 billion by 2032. One of the key growth factors for this market includes the rising prevalence of obesity worldwide, which necessitates specialized equipment and systems to manage the unique healthcare needs of obese patients.

One of the primary growth factors for the obese patient care system market is the increasing prevalence of obesity globally. According to the World Health Organization (WHO), the number of obese individuals has tripled since 1975. As obesity is associated with various comorbidities such as diabetes, cardiovascular diseases, and musculoskeletal disorders, the need for specialized healthcare systems to cater to this demographic has become imperative. This trend is creating a sustained demand for obese patient care systems, ranging from beds and wheelchairs to specialized scales and lifts.

Technological advancements are another significant growth factor contributing to the expansion of the obese patient care system market. Innovations in medical devices, such as advanced bariatric beds with integrated monitoring systems and automated wheelchairs, are enhancing patient comfort and care efficiency. Manufacturers are increasingly focusing on developing user-friendly, durable, and multifunctional equipment that can withstand higher weights while ensuring safety. These technological improvements are making it easier for healthcare providers to deliver optimal care to obese patients, thereby driving market growth.

Government initiatives and policies aimed at combating obesity and improving healthcare infrastructure are also playing a crucial role in market expansion. Various countries are investing in healthcare facilities and programs to manage obesity more effectively. These initiatives often include funding for specialized equipment and training for healthcare providers, which in turn bolsters the demand for obese patient care systems. For instance, government grants and subsidies for hospitals to purchase bariatric equipment can significantly impact market growth.

In terms of regional outlook, North America is expected to dominate the obese patient care system market, followed by Europe and the Asia Pacific. The high prevalence of obesity in North America, particularly in the United States, along with well-established healthcare infrastructure, contributes to this dominance. Europe also shows significant potential due to rising obesity rates and increased healthcare spending. The Asia Pacific region, with its growing healthcare infrastructure and increasing awareness about obesity management, is anticipated to witness the highest growth rate during the forecast period.

Product Type Analysis

The product type segment of the obese patient care system market includes beds, lifts, scales, wheelchairs, commodes, and others. Each of these product types serves a unique role in managing and providing care for obese patients, making them indispensable in various healthcare settings. Among these, bariatric beds are one of the most crucial components, designed to accommodate higher weight capacities while providing comfort and safety. These beds often come with advanced features such as electric adjustments, integrated scales, and specialized mattresses to prevent pressure sores, making them highly sought after in hospitals and home care settings.

Lifts are another essential product type within the obese patient care system market. These devices are designed to assist in the safe and efficient transfer of obese patients, thereby reducing the risk of injury to both patients and healthcare providers. Modern lifts often come with advanced features like motorized operation, remote control, and multi-functional slings, enhancing their usability and effectiveness. The increasing focus on patient safety and comfort is driving the demand for advanced lift systems.

Scales specifically designed for obese patients are crucial for monitoring weight and managing overall health. These scales often have higher weight capacities and larger platforms compared to standard scales, ensuring accurate measurements for obese individuals. Some advanced models also offer digital readouts, wireless connectivity, and integration with electronic health records (EHR) systems, enhancing their utility in clinical settings. The growing emphasis on monitoring and managing obesity-related hea

Financial overview and grant giving statistics of American Board of Obesity Medicine Foundation