When asked about "Cigarettes smoked per day", ** percent of U.S. respondents answer "1 to * cigarettes". This online survey was conducted in 2023, among ***** consumers.Find this and more survey data on cigarettes smoked per day in our Consumer Insights tool. Filter by countless demographics, drill down to your own, hand-tailored target audience, and compare results across countries worldwide.

This database contains tobacco consumption data from 1970-2015 collected through a systematic search coupled with consultation with country and subject-matter experts. Data quality appraisal was conducted by at least two research team members in duplicate, with greater weight given to official government sources. All data was standardized into units of cigarettes consumed and a detailed accounting of data quality and sourcing was prepared. Data was found for 82 of 214 countries for which searches for national cigarette consumption data were conducted, representing over 95% of global cigarette consumption and 85% of the world’s population. Cigarette consumption fell in most countries over the past three decades but trends in country specific consumption were highly variable. For example, China consumed 2.5 million metric tonnes (MMT) of cigarettes in 2013, more than Russia (0.36 MMT), the United States (0.28 MMT), Indonesia (0.28 MMT), Japan (0.20 MMT), and the next 35 highest consuming countries combined. The US and Japan achieved reductions of more than 0.1 MMT from a decade earlier, whereas Russian consumption plateaued, and Chinese and Indonesian consumption increased by 0.75 MMT and 0.1 MMT, respectively. These data generally concord with modelled country level data from the Institute for Health Metrics and Evaluation and have the additional advantage of not smoothing year-over-year discontinuities that are necessary for robust quasi-experimental impact evaluations. Before this study, publicly available data on cigarette consumption have been limited—either inappropriate for quasi-experimental impact evaluations (modelled data), held privately by companies (proprietary data), or widely dispersed across many national statistical agencies and research organisations (disaggregated data). This new dataset confirms that cigarette consumption has decreased in most countries over the past three decades, but that secular country specific consumption trends are highly variable. The findings underscore the need for more robust processes in data reporting, ideally built into international legal instruments or other mandated processes. To monitor the impact of the WHO Framework Convention on Tobacco Control and other tobacco control interventions, data on national tobacco production, trade, and sales should be routinely collected and openly reported. The first use of this database for a quasi-experimental impact evaluation of the WHO Framework Convention on Tobacco Control is: Hoffman SJ, Poirier MJP, Katwyk SRV, Baral P, Sritharan L. Impact of the WHO Framework Convention on Tobacco Control on global cigarette consumption: quasi-experimental evaluations using interrupted time series analysis and in-sample forecast event modelling. BMJ. 2019 Jun 19;365:l2287. doi: https://doi.org/10.1136/bmj.l2287 Another use of this database was to systematically code and classify longitudinal cigarette consumption trajectories in European countries since 1970 in: Poirier MJ, Lin G, Watson LK, Hoffman SJ. Classifying European cigarette consumption trajectories from 1970 to 2015. Tobacco Control. 2022 Jan. DOI: 10.1136/tobaccocontrol-2021-056627. Statement of Contributions: Conceived the study: GEG, SJH Identified multi-country datasets: GEG, MP Extracted data from multi-country datasets: MP Quality assessment of data: MP, GEG Selection of data for final analysis: MP, GEG Data cleaning and management: MP, GL Internet searches: MP (English, French, Spanish, Portuguese), GEG (English, French), MYS (Chinese), SKA (Persian), SFK (Arabic); AG, EG, BL, MM, YM, NN, EN, HR, KV, CW, and JW (English), GL (English) Identification of key informants: GEG, GP Project Management: LS, JM, MP, SJH, GEG Contacts with Statistical Agencies: MP, GEG, MYS, SKA, SFK, GP, BL, MM, YM, NN, HR, KV, JW, GL Contacts with key informants: GEG, MP, GP, MYS, GP Funding: GEG, SJH SJH: Hoffman, SJ; JM: Mammone J; SRVK: Rogers Van Katwyk, S; LS: Sritharan, L; MT: Tran, M; SAK: Al-Khateeb, S; AG: Grjibovski, A.; EG: Gunn, E; SKA: Kamali-Anaraki, S; BL: Li, B; MM: Mahendren, M; YM: Mansoor, Y; NN: Natt, N; EN: Nwokoro, E; HR: Randhawa, H; MYS: Yunju Song, M; KV: Vercammen, K; CW: Wang, C; JW: Woo, J; MJPP: Poirier, MJP; GEG: Guindon, EG; GP: Paraje, G; GL Gigi Lin Key informants who provided data: Corne van Walbeek (South Africa, Jamaica) Frank Chaloupka (US) Ayda Yurekli (Turkey) Dardo Curti (Uruguay) Bungon Ritthiphakdee (Thailand) Jakub Lobaszewski (Poland) Guillermo Paraje (Chile, Argentina) Key informants who provided useful insights: Carlos Manuel Guerrero López (Mexico) Muhammad Jami Husain (Bangladesh) Nigar Nargis (Bangladesh) Rijo M John (India) Evan Blecher (Nigeria, Indonesia, Philippines, South Africa) Yagya Karki (Nepal) Anne CK Quah (Malaysia) Nery Suarez Lugo (Cuba) Agencies providing assistance: Irani... Visit https://dataone.org/datasets/sha256%3Aaa1b4aae69c3399c96bfbf946da54abd8f7642332d12ccd150c42ad400e9699b for complete metadata about this dataset.

United States US: Smoking Prevalence: Males: % of Adults data was reported at 24.600 % in 2016. This records a decrease from the previous number of 25.100 % for 2015. United States US: Smoking Prevalence: Males: % of Adults data is updated yearly, averaging 26.800 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 34.500 % in 2000 and a record low of 24.600 % in 2016. United States US: Smoking Prevalence: Males: % of Adults 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 smoking, male is the percentage of men ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

This statistic shows the number of cigarettes smoked each day in the United States from 2011 to 2020. The data has been calculated by Statista based on the U.S. Census data and Simmons National Consumer Survey (NHCS). According to this statistic, **** million Americans smoked ** or more cigarettes in 2020.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Tobacco and Smoking Products in U.S. City Average (CUSR0000SEGA) from Jan 1986 to Jul 2025 about tobacco, urban, production, consumer, CPI, inflation, price index, indexes, price, and USA.

By April 2020, more than half of states had enacted e-cigarette taxes. However, unlike cigarettes, which are generally taxed on a per-pack basis, e-cigarette tax schemas vary by state. States may introduce taxes on liquids or containers, tax wholesale prices, or use other sales taxes, making it difficult to compare e-cigarette tax rates across states and to understand the magnitude of e-cigarette taxes relative to cigarette taxes.The purpose of this study was to create and publish a database of standardized e-cigarette tax rates at the state and local levels. Using e-cigarette sales data from the NielsenIQ Retail Scanner Data (NRSD), as well as e-cigarette product characteristics collected from Internet searches and visits to e-cigarette retailers, we developed a dataset of standardized quarterly e-cigarette excise taxes, measured as an average tax rate per milliliter (mL) of fluid.The available data file includes 3 tables:1. E-cigarette Taxes by State/County from 2010 to 2020, 35% Retailer Markup, Time-Invariant Tax Units2. E-cigarette Taxes by State/County from 2010 to 2020, 20% Retailer Markup, Time-Invariant Tax Units3. E-cigarette Taxes by State/County from 2010 to 2020, 35% Retailer Markup, Time-Varying Tax UnitsMore information about the methodology of the study can be found in the following article: Cotti C, Nesson E, Pesko MF, et al. Standardising the measurement of e-cigarette taxes in the USA, 2010–2020. Tobacco Control. Published Online First: 15 December 2021. doi: 10.1136/tobaccocontrol-2021-056865

United States US: Smoking Prevalence: Total: % of Adults: Aged 15+ data was reported at 21.800 % in 2016. This records a decrease from the previous number of 22.300 % for 2015. United States US: Smoking Prevalence: Total: % of Adults: Aged 15+ data is updated yearly, averaging 23.900 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 31.400 % in 2000 and a record low of 21.800 % in 2016. United States US: Smoking Prevalence: Total: % of Adults: Aged 15+ 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 smoking is the percentage of men and women ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

United States US: Prevalence of Current Tobacco Use: Males: % of Male Adults data was reported at 29.900 % in 2022. This records a decrease from the previous number of 30.400 % for 2021. United States US: Prevalence of Current Tobacco Use: Males: % of Male Adults data is updated yearly, averaging 33.000 % from Dec 2000 (Median) to 2022, with 8 observations. The data reached an all-time high of 37.800 % in 2000 and a record low of 29.900 % in 2022. United States US: Prevalence of Current Tobacco Use: Males: % of Male 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. The percentage of the male population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.a.1 [https://unstats.un.org/sdgs/metadata/]. Previous indicator name: Smoking prevalence, males (% of adults) The previous indicator excluded smokeless tobacco use, while the current indicator includes it. The indicator name and definition were updated in December, 2020.

1970-2019. Orzechowski and Walker. Tax Burden on Tobacco. Tax burden data was obtained from the annual compendium on tobacco revenue and industry statistics, The Tax Burden on Tobacco. Data are reported on an annual basis; Data include federal and state-level information regarding taxes applied to the price of a pack of cigarettes.

Data for cities, communities, and City of Los Angeles Council Districts were generated using a small area estimation method which combined the survey data with population benchmark data (2022 population estimates for Los Angeles County) and neighborhood characteristics data (e.g., U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates). Adults included in this indicator are those who reported using e-cigarettes in the past month.Electronic cigarettes, also called e-cigarettes, e-hookahs, mods, vape pens, and electronic nicotine delivery systems (ENDS), have been sold in the US for about a decade and are the most commonly used tobacco product among youth. Most e-cigarettes contain nicotine and can emit a number of potentially toxic substances. They can also cause unintended injuries such as fires, explosions, and acute nicotine exposure. Though not all long-term health consequences of e-cigarette use are currently known, e-cigarette usage has been found to impair the function of the body’s blood vessels, which can increase the risk for cardiovascular and lung disease.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

United States US: Prevalence of Current Tobacco Use: % of Adults data was reported at 24.300 % in 2022. This records a decrease from the previous number of 24.700 % for 2021. United States US: Prevalence of Current Tobacco Use: % of Adults data is updated yearly, averaging 27.100 % from Dec 2000 (Median) to 2022, with 8 observations. The data reached an all-time high of 31.500 % in 2000 and a record low of 24.300 % in 2022. United States US: Prevalence of Current Tobacco Use: % 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. The percentage of the population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.a.1 [https://unstats.un.org/sdgs/metadata/]. Previous indicator name: Smoking prevalence, total (ages 15+) The previous indicator excluded smokeless tobacco use, while the current indicator includes. The indicator name and definition were updated in December, 2020.

In 2023, around 28.6 percent of the population aged 15 years and above in Indonesia were smokers. Smoking prevalence in Indonesia peaked in 2018 at 32.2 percent. To address the widespread prevalence of smoking, the government imposed a tax hike in 2020. Cigarette consumption in Indonesia Despite the Indonesian government's increase in excise duties on cigarettes and tobacco products, smoking among adults remains high, particularly among men. Cultural norms, low prices, and aggressive tobacco marketing significantly challenge efforts to reduce smoking rates. In Indonesia, smoking is deeply embedded in social practices and often begins at a young age. Recent data indicates that Indonesians aged 18 to 59 smoke an average of 12 cigarettes daily, equivalent to one regular-sized pack of cigarettes sold in the country. Tobacco industry in Indonesia The tobacco industry in Indonesia is a vital economic sector, ranking among the world’s leading producers and consumers of tobacco. Indonesia produced over 200,000 metric tons of tobacco annually, with exports to countries such as the Philippines and the United States. This extensive production and export network underscores the industry's importance to Indonesia's economy. The total export value of tobacco and its manufactured products from Indonesia is estimated to be nearly two billion U.S. dollars, highlighting its significant contribution to the nation's economic landscape.

When using any of this project's data, please reference the correct peer-reviewed publication listed below. Please see the publication for additional details on how the measures are constructed. Where multiple versions of the data exist, we recommend using the most recent version for new projects.E-cigarette Taxes: E-cigarette tax scheme vary across states and localities, making comparisons across states difficult. This project provides standardized e-cigarette tax rates at the state and local levels in the United States. 2nd Edition:Publication: Cotti, Chad, Erik Nesson, Michael F. Pesko, and Serena Phillips. "Standardising the measurement of e-cigarette taxes in the USA (2nd edition), 2010–2023 ." Tobacco control (2024). Accepted, in press.PubMed LInk: TBDDownload: E-cig Tax Version 2, 2010-2023.xlsxDescription: The downloadable data file includes 2 tabs:Closed System E-cigarette Taxes by State/County from 2010 to 2023, 35% Retailer Markup, Time-Invariant Tax UnitsOpen System E-cigarette Taxes by State/County from 2010 to 2023, 35% Retailer Markup, Time-Invariant Tax Units 1st Edition:Publication: Cotti, Chad, Erik Nesson, Michael F. Pesko, Serena Phillips, and Nathan Tefft. "Standardising the measurement of e-cigarette taxes in the USA, 2010–2020." Tobacco control 32, no. e2 (2023): e251-e254.PubMed LInk: https://pubmed.ncbi.nlm.nih.gov/34911814/Download: E-cig Tax Version 1, 2010-2020.xlsxDescription: The downloadable Excel file includes 3 tabs:E-cigarette Taxes by State/County from 2010 to 2020, 35% Retailer Markup, Time-Invariant Tax UnitsE-cigarette Taxes by State/County from 2010 to 2020, 20% Retailer Markup, Time-Invariant Tax UnitsE-cigarette Taxes by State/County from 2010 to 2020, 35% Retailer Markup, Time-Varying Tax UnitsIndoor Air LawsThis database reports US national- and state-level estimates of population coverage of comprehensive and partial indoor smoking restrictions from 1990 to 2021 for bars, restaurants, and workplaces, and comprehensive indoor vaping restrictions from 2006 to 2021 for the same locations. Estimates were calculated by using policy data from the American Nonsmokers' Rights Foundation. 1st Edition:Publication: Seidenberg, Andrew B., Karl Braganza, Maxwell Chomas, Megan C. Diaz, Abigail S. Friedman, Serena Phillips, and Michael Pesko. "Coverage of Indoor Smoking and Vaping Restrictions in the US, 1990-2021." American Journal of Preventive Medicine (2024).67, no. 4 (2024): 494-502.PubMed LInk: https://pubmed.ncbi.nlm.nih.gov/38876294/Download: Vaping and Smoking Indoor Air Laws Version 1, 2010-2021.xlsxResearch reported in this project was supported by the National Institute On Drug Abuse of the National Institutes of Health under Award Number R01DA045016. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

The Population Assessment of Tobacco and Health (PATH) Study began originally surveying 45,971 adult and youth respondents. The PATH Study was launched in 2011 to inform Food and Drug Administration's regulatory activities under the Family Smoking Prevention and Tobacco Control Act (TCA). The PATH Study is a collaboration between the National Institute on Drug Abuse (NIDA), National Institutes of Health (NIH), and the Center for Tobacco Products (CTP), Food and Drug Administration (FDA). The study sampled over 150,000 mailing addresses across the United States to create a national sample of people who use or do not use tobacco. 45,971 adults and youth constitute the first (baseline) wave of data collected by this longitudinal cohort study. These 45,971 adults and youth along with 7,207 "shadow youth" (youth ages 9 to 11 sampled at Wave 1) make up the 53,178 participants that constitute the Wave 1 Cohort. Respondents are asked to complete an interview at each follow-up wave. Youth who turn 18 by the current wave of data collection are considered "aged-up adults" and are invited to complete the Adult Interview. Additionally, "shadow youth" are considered "aged-up youth" upon turning 12 years old, when they are asked to complete an interview after parental consent. At Wave 4, a probability sample of 14,098 adults, youth, and shadow youth ages 10 to 11 was selected from the civilian, noninstitutionalized population at the time of Wave 4. This sample was recruited from residential addresses not selected for Wave 1 in the same sampled Primary Sampling Unit (PSU)s and segments using similar within-household sampling procedures. This "replenishment sample" was combined for estimation and analysis purposes with Wave 4 adult and youth respondents from the Wave 1 Cohort who were in the civilian, noninstitutionalized population at the time of Wave 4. This combined set of Wave 4 participants, 52,731 participants in total, forms the Wave 4 Cohort.Dataset 0001 (DS0001) contains the data from the Master Linkage file. This file contains 14 variables and 67,276 cases. The file provides a master list of every person's unique identification number and what type of respondent they were for each wave. At Wave 7, a probability sample of 14,863 adults, youth, and shadow youth ages 9 to 11 was selected from the civilian, noninstitutionalized population at the time of Wave 7. This sample was recruited from residential addresses not selected for Wave 1 or Wave 4 in the same sampled PSUs and segments using similar within-household sampling procedures. This second replenishment sample was combined for estimation and analysis purposes with Wave 7 adult and youth respondents from the Wave 4 Cohort who were at least age 15 and in the civilian, noninstitutionalized population at the time of Wave 7. This combined set of Wave 7 participants, 46,169 participants in total, forms the Wave 7 Cohort. Please refer to the Public-Use Files User Guide that provides further details about children designated as "shadow youth" and the formation of the Wave 1, Wave 4, and Wave 7 Cohorts.Dataset 1001 (DS1001) contains the data from the Wave 1 Adult Questionnaire. This data file contains 1,732 variables and 32,320 cases. Each of the cases represents a single, completed interview. Dataset 1002 (DS1002) contains the data from the Youth and Parent Questionnaire. This file contains 1,228 variables and 13,651 cases.Dataset 2001 (DS2001) contains the data from the Wave 2 Adult Questionnaire. This data file contains 2,197 variables and 28,362 cases. Of these cases, 26,447 also completed a Wave 1 Adult Questionnaire. The other 1,915 cases are "aged-up adults" having previously completed a Wave 1 Youth Questionnaire. Dataset 2002 (DS2002) contains the data from the Wave 2 Youth and Parent Questionnaire. This data file contains 1,389 variables and 12,172 cases. Of these cases, 10,081 also completed a Wave 1 Youth Questionnaire. The other 2,091 cases are "aged-up youth" having previously been sampled as "shadow youth." Dataset 3001 (DS3001) contains the data from the Wave 3 Adult Questionnaire. This data file contains 2,139 variables and 28,148 cases. Of these cases, 26,241 are continuing adults having completed a prior Adult Questionnaire. The other 1,907 cases are "aged-up adults" having previously completed a Youth Questionnaire. Dataset 3002 (DS3002) contains the data from t

Nicotine use among U.S. youth is cause for concern, as previous studies have shown that nicotine use in adolescence increases the risk of developing substance use disorders later in life. This exploratory study aimed to understand patterns of nicotine use and perceptions of various nicotine products among adolescents and young adults (AYA) receiving medication treatment for opioid use disorder (MOUD). We administered an adapted version of the National Youth Tobacco Survey via REDCap to AYA (n=32) receiving outpatient care in the Medication-Assisted Treatment of Addiction at Nationwide Children’s Hospital in Columbus, Ohio, U.S.A. Thirty (97%) participants had tried a combustible cigarette and 27 (90%) had tried an electronic cigarette. By age 13, nineteen (61%) participants had tried combustible cigarettes and eight (25%) had tried opioids. Twenty-two (71%) participants reported smoking combustible cigarettes every day for the past 30 days, and 15 (48%) reported smoking more than 10 cigarettes per day on average. Only ten (32%) participants reported e-cigarette use in the last 30 days. Participants universally agreed that tobacco products are dangerous, and twenty (67%) current tobacco users reported that they planned to quit in the next year. Nicotine use patterns among AYA receiving MOUD differ from that previously shown in the general population, primarily by high prevalence of nicotine use in early adolescence and high current combustible cigarette use. Interventions such as universal screening for nicotine use before age 13 and tailored smoking cessation programs for AYA with OUD may help optimize care for these individuals. Methods We administered an adapted version of the National Youth Tobacco Survey via REDCap to adolescents and young adults (n=32) receiving medication treatment for opioid use disorder. This dataset includes deidentified survey responses. Survey responses that may directly or indirectly identify participants (i.e age, race, gender, occupation, marital status) have been removed from the public dataset.

The smoking prevalence in the United States was forecast to continuously decrease between 2024 and 2029 by in total *** percentage points. After the ****** consecutive decreasing year, the smoking prevalence is estimated to reach ***** percent and therefore a new minimum in 2029. Shown is the estimated share of the adult population (15 years or older) in a given region or country, that smoke on a daily basis. According to the WHO and World bank, smoking refers to the use of cigarettes, pipes or other types of tobacco.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the smoking prevalence in countries like Canada and Mexico.

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US Herbal Cigarette Market Size 2024-2028

The US herbal cigarette market size is forecast to increase by USD 519.2 mn million at a CAGR of 13.54% between 2023 and 2028.

The herbal cigarette market In the US is experiencing notable growth, driven by several key factors. One significant trend is the expanding availability of herbal cigarettes across various distribution channels, including convenience stores, supermarkets, and online platforms. Additionally, a substantial number of public awareness programs and campaigns are promoting the use of herbal cigarettes as a healthier alternative to traditional tobacco products. However, the market faces challenges from stringent government regulations, which require herbal cigarette manufacturers to adhere to strict quality and safety standards. These regulations aim to protect consumers from potential health risks associated with herbal cigarettes, ensuring they are truly a healthier option.

What will be the size of the US Herbal Cigarette Market during the forecast period?

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The market is experiencing significant growth as consumers seek alternative smoking options. Both organic and non-organic herbal cigarette products are gaining popularity among health-conscious individuals, with a client base that spans convenience stores, online retailers, discounters, and beyond. Technology developments in herbal smoking products, including heat-not-burn devices and vapes, are driving innovation in this space. However, consumer awareness and education remain key challenges, particularly regarding the differences between herbal and tobacco-based smoking products, such as cigarettes, cigars, smokeless tobacco, shisha, kreteks, bidis, and e-cigarettes. Stringent regulations and the prevalence of counterfeit products also impact market dynamics.
Despite these challenges, the herbal cigarette market continues to expand, fueled by increasing health awareness and disposable income. Non-tobacco-based products offer a viable alternative to traditional smoking methods for those seeking to reduce their tobacco intake or quit altogether.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Distribution Channel

  Offline
  Online


Type

  Inorganic herbal cigarettes
  Organic herbal cigarettes


Geography

  US

By Distribution Channel Insights

The offline segment is estimated to witness significant growth during the forecast period.

The market exhibits steady growth, with both offline and online channels catering to diverse consumer preferences. Offline retail, including convenience stores, discounters, and specialty shops, offers consumers the opportunity to examine a range of herbal cigarette options, fostering informed purchasing decisions. Brick-and-mortar stores provide an engaging shopping experience, with attractive displays and competitive pricing, making them a popular choice for consumers seeking new herbal cigarette variants. Convenience stores, online retailers, discounters, and e-commerce platforms on smartphones serve as key distribution channels. Online retailers, on the other hand, provide convenience and accessibility, allowing consumers to explore a broader selection of organic and non-organic herbal cigarettes, flavored variants, and innovative products. Consumer awareness, health-consciousness, and disposable income are significant factors driving market growth.

Despite stringent regulations and concerns over counterfeit products, the market continues to expand, with collaborations, digital marketing, and e-commerce platforms playing a pivotal role in reaching a wider audience.

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The offline segment was valued at USD 291.30 million in 2018 and showed a gradual increase during the forecast period.

Market Dynamics

Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

What are the key market drivers leading to the rise in adoption of US Herbal Cigarette Market?

The increasing availability of herbal cigarettes across various distribution channels is the key driver of the market.

Herbal cigarettes, which include both organic and non-organic variants, have gained traction In the US market through various distribution channels. Supermarkets and hypermarkets are among the key retailers offering herbal cigarettes. The trend towards omni-channel retailing is driving sales, allowing consumers to shop online and pick up merchandise from physical stores on the same day. Retailers, inc

Probability of reaching idealized target cigarette consumption by 2030 and 2035 for US states.

Aggressive and realistic cigarette consumption target thresholds for 2030 and 2035 for US states.

The global total consumer spending on alcohol and tobacco in was forecast to continuously increase between 2024 and 2029 by in total ***** billion U.S. dollars (+***** percent). After the seventh consecutive increasing year, the alcohol- and tobacco-related spending is estimated to reach *** trillion U.S. dollars and therefore a new peak in 2029. Consumer spending, in this case alcohol- and tobacco-related spending, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs) in the selected region. Spending by corporations or the state is not included. Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group **. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data is shown in nominal terms which means that monetary data is valued at prices of the respective year and has not been adjusted for inflation. For future years the price level has been projected as well. The data has been converted from local currencies to US$ using the average exchange rate of the respective year. For forecast years, the exchange rate has been projected as well. The timelines therefore incorporate currency effects.Find more key insights for the total consumer spending on alcohol and tobacco in countries like Europe and Australia & Oceania.