Comprehensive Analysis of Brewing Parameters, Sales Trends, and Quality Metrics in Craft Beer Production (2020-2024)

Overview: This dataset presents an extensive collection of data from a craft beer brewery, spanning from January 2020 to January 2024. It encapsulates a rich blend of brewing parameters, sales data, and quality assessments, providing a holistic view of the brewing process and its market implications.

Content Details: - Brewing Parameters: Includes crucial brewing factors such as fermentation time, temperature, pH level, gravity, and ingredient ratios. These parameters are pivotal in understanding the brewing process and its impact on the final product. - Beer Styles and Packaging: The dataset categorizes beers into various styles like IPA, Stout, Lager, etc., and records the type of packaging used (kegs, bottles, cans, pints). - Quality Scores: Each batch is rated for its quality on a scale, offering insights into the success and consistency of different brewing approaches. - Sales Data(USD): Detailed records of sales figures, providing a window into the market performance of different beer types across various locations in Bangalore. - Supply Chain and Efficiency Metrics: Tracks aspects like volume produced, total sales, brewhouse efficiency, and losses at different stages (brewing, fermentation, bottling/kegging), crucial for supply chain analysis and operational optimization.

Applications: - Brewing Process Optimization: Ideal for analysis aiming to correlate brewing techniques with beer quality, facilitating the optimization of brewing conditions for superior product quality. - Market Analysis: Sales data across different styles and locations offer valuable insights for market trend analysis and strategic planning. - Supply Chain Management: The dataset is instrumental in identifying bottlenecks in the supply chain and enhancing inventory management strategies. - Quality Assessment and Control: By analyzing quality scores against brewing parameters, the dataset supports initiatives in quality control and consistency maintenance.

Data Format and Structure: - The dataset is structured in a tabular format, provided in a CSV file for easy integration with various data analysis tools. - It comprises over 10 million records, each representing a unique batch with a comprehensive set of features.

Intended Audience: This dataset is invaluable for data scientists, brewing process engineers, market analysts, supply chain experts, and quality control professionals in the brewing industry. It is also highly relevant for academic research in food technology, fermentation science, and business analytics.

Disclaimer: - The data is synthetic and intended for educational, analytical, and simulation purposes. - Users are advised to apply appropriate data processing and analysis techniques for meaningful insights.

This comprehensive dataset serves as a rich resource for exploring the intricacies of brewing science, market dynamics, and operational efficiency in the craft beer industry.

Analysis of ‘Craft Beers Dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/nickhould/craft-cans on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

It's a great time to be a craft beer fan in the U.S.! There are a ton of beer styles and brands to choose from and breweries have become very successful in the last several years. Breweries owe it all to beer lovers around the world! This dataset contains a list of 2,410 US craft beers and 510 US breweries. The beers and breweries are linked together by the "id". This data was collected in January 2017 from CraftCans.com. The dataset is an a tidy format and values have been cleaned up for your enjoyment.

Content

beers.csv - Contains data on 2000+ craft canned beers

breweries.csv - Contains data for 500+ breweries in the United States

Acknowledgements

If you are interested in learning more about how this dataset was acquired, I wrote an extensive blogpost about it http://www.jeannicholashould.com/python-web-scraping-tutorial-for-craft-beers.html.

Inspiration

Can you predict the beer type from the characteristics provided in the dataset?

What is the most popular beer in North Dakota?

Enjoy!

--- Original source retains full ownership of the source dataset ---

This dataset consists of beer reviews from Beeradvocate. The data span a period of more than 10 years, including all ~1.5 million reviews up to November 2011. Each review includes ratings in terms of five "aspects": appearance, aroma, palate, taste, and overall impression. Reviews include product and user information, followed by each of these five ratings, and a plaintext review. We also have reviews from ratebeer.

Source: Stanford SNAP Lab

We've included a dataset beer_reviews foud on TCB Analytics. The dataset is large so cannot be previewed.

Blurb from TCB Analytics: "This dataset consists of 1.5 million beer reviews from Beer Advocate. It is an ideal dataset for testing candidates since it is too large to fit into Excel, but small enough to process on a single laptop in Python or R. We prefer that candidates complete the test in either Python or R, and generally if they are hesitant about using or trying to learn either of these languages, that should signal a red flag."

Source: TCB Analytics

Context

It's a great time to be a craft beer fan in the U.S.! There are a ton of beer styles and brands to choose from and breweries have become very successful in the last several years. Breweries owe it all to beer lovers around the world! This dataset contains a list of 2,410 US craft beers and 510 US breweries. The beers and breweries are linked together by the "id". This data was collected in January 2017 from CraftCans.com. The dataset is an a tidy format and values have been cleaned up for your enjoyment.

Content

beers.csv - Contains data on 2000+ craft canned beers

breweries.csv - Contains data for 500+ breweries in the United States

Acknowledgements

If you are interested in learning more about how this dataset was acquired, I wrote an extensive blogpost about it http://www.jeannicholashould.com/python-web-scraping-tutorial-for-craft-beers.html.

Inspiration

Can you predict the beer type from the characteristics provided in the dataset?

What is the most popular beer in North Dakota?

Enjoy!

This list identifies the brands of beer made by beer manufacturers and microbreweries that are subject to the beer tax.

You can use this list to calculate the beer tax you pay when you purchase certain brands.

"http://www.fin.gov.on.ca/en/tax/bwt/taxincludedpricing.html">Read: how to calculate beer tax

About beer tax

The data set contains a sample of 501 responses of craft beer consumer participants located in México, responding to the research question: Which of the following Mexican craft beers would you choose to consume regularly? Using a brand-specific conjoint analysis as a methodology, technically known as choice-based alternative-specific/labeled conjoint design.

The aim of this data set is: Describe the craft beer quantitatively preferred consumer attributes in Mexico, to help guide decisions about new product creation, marketing, advertising, and promotion strategies to increase sales of craft beer producing houses.

The questionnaire was applied face to face and by email list, using a mobile and desktop device technology conjoint software.

Data set contains Craft Beer Color Style, Aroma Intensity, Alcoholic Strength, Bitterness Intensity, Foam Level, Willingness to Pay, Score, Rank, the Lower Limit of 90% Confidence Interval, the Upper Limit of 90% Confidence Interval.

Estimation data from a targeted nationally representative sample eliciting consumer willingness to pay for sustainability attributes in beer. Different eco-labels are used to depict different aspects of sustainability including: water use, energy use, and landfill diversion. The survey was constructed in Qualtrics and distributed using Kanter. We collect information on demographic characteristics, beer buying/drinking behavior, and sustainability preferences, alongside a choice experiment. We find that consumers are willing to pay a price premium for sustainability attributes in beer (under all model specifications).

Despite California being, the leading craft beer producer, Vermont is the state with the most breweries per capita. In 2022, there were over 15 breweries for every 100 thousand residents in Vermont. In contrast, California only had 3.3 breweries per 100 thousand inhabitants.

What defines a craft brewery?

A craft beer brewery is defined as one which produces less than six million barrels a year, is independently owned (less than 25 percent of the brewery can be owned by an alcoholic beverage company that is not a craft brewer), has a TTB (Tobacco Tax and Trade Bureau) Notice, and of course, makes beer.

The craft trend

Craft brewing is a trend that has swept the whole nation. Four times the number of breweries operate now than a decade ago. With each passing year, craft beer captures a larger share of overall beer production volume.

Table of Contents

• Report Overview
• Key Takeaways
• Market Analysis
• Craft Beer Market Segmentation
• Driving Factors
• Restraining Factors
• Growth Opportunities
• Trending Factors
• Regional Analysis
• Key Players Analysis
• Recent Developments
• Report Scope

Report Overview

The global Craft Beer market size was valued at USD 103.2 Billion in 2022 and is expected to reach USD 282.6 Billion in 2032. It is expected to grow at a CAGR of 10.6% between 2023 and 2032.

Craft beer is a type of beer that is produced by independent, small breweries that prioritize flavor, quality, and innovation over mass production. This sector has carved out a niche within the larger beer industry, offering consumers diverse and distinctive beer flavors and experiences. Read More

Analysis of ‘Beer Profile and Ratings Data Set’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/ruthgn/beer-profile-and-ratings-data-set on 12 November 2021.

--- Dataset description provided by original source is as follows ---

Data Set Information

This data set was created by integrating information from two existing data sets on Kaggle: * Beer Tasting Profiles Dataset * 1.5 Million Beer Reviews

The purpose of the data integration is to create a new data set that contains comprehensive consumer review (appearance, aroma, palate, taste and overall review scores) for different brews, combined with their detailed tasting profiles—this is that data set.

In the future it might be possible to go through and scrape more detailed information for each brew, such as the brewery's country of origin or brew recipe information such as their original gravity vs. final gravity.

Contents

The main data set (beer_profile_and_ratings.csv) contains the following columns:

1 - Name: Beer name (label) 2 - Style: Beer Style 3 - Brewery: Brewery name 4 - Beer Name (Full): Complete beer name (Brewery + Brew Name) -- unique identifier for each beer 5 - Description: Notes on the beer if available 6 - ABV: Alcohol content of beer (% by volume) 7 - Min IBU: The minimum IBU value each beer can possess. IBU was not a value available for each beer, but the IBU range for each style was 8 - Max IBU: The maximum IBU value each beer can possess. IBU was not a value available for each beer, but the IBU range for each style was

The next eleven columns represent the tasting profile features of the beer, and are defined by word counts found in up to 25 reviews of each beer. The assumption is that people writing reviews are more than likely describing what they do experience rather than what they do not.

9 - Astringency 10 - Body 11 - Alcohol
12 - Bitter
13 - Sweet
14 - Sour
15 - Salty
16 - Fruits 17 - Hoppy
18 - Spices 19 - Malty

The last six columns contain information from beer reviews--they include the number (count) of consumer/user reviews, the average overall rating score, and the average rating scores for the aroma, appearance, palate, and taste of each individual beer.

20 - review_aroma 21 - review_appearance 22 - review_palate 23 - review_taste 24 - review_overall 25 - number_of_reviews

The other two other files (Brewery Name Fuzzy Match List.csv and Beer Name Fuzzy Match List.csv) contain lists of breweries and beers that are found in both source datasets--and consequently, included in this dataset. To see the data integration process in more details, check out this notebook.

Acknowledgements

Source: BeerAdvocate Credits: - Beer Tasting Profiles Dataset by sp1222. - 1.5 Million Beer Reviews by Tanya Cashorali (uploaded by Datadoume)

Context

As previously mentioned, this data set was created to put existing consumer ratings data for different brews and their detailed tasting profiles in one place. Possible uses for the dataset include: - Analyzing the properties that make a highly-rated beer - Clustering and building a beer recommendation system based on similarities - Classifying different beer styles based on tasting profile information - Predicting a brew's alcohol content (ABV) using known characteristics - A lot more!

This one is for all the beer lovers out there—*cheers!* 🍻

--- Original source retains full ownership of the source dataset ---

Key Features

id: A unique identifier for each beer recipe.

name: The name of the beer recipe.

tagline: A brief tagline or description of the beer.

first_brewed: The date when the beer recipe was first brewed.

description: Detailed notes on the beer recipe, including taste and characteristics.

image_url: URL to an image of the beer.

abv: Alcohol by volume, indicating the beer's alcohol content.

ibu: International Bitterness Units, measuring the beer's bitterness.

target_fg: Target final gravity of the beer.

target_og: Target original gravity of the beer.

ebc: European Brewery Convention, measuring beer color.

srm: Standard Reference Method, another measurement of beer color.

ph: The pH level of the beer.

attenuation_level: Measure of sugar conversion to alcohol during fermentation.

volume: The volume of the beer recipe, typically in liters.

boil_volume: The volume during the boiling stage of brewing.

method: Brewing process details, including temperatures and twists.

ingredients: Information on malt, hops, yeast, and more used in the recipe.

food_pairing: Suggested food pairings that complement the beer.

brewers_tips: Tips and insights for brewing or enjoying the beer.

contributed_by: The name of the contributor who provided this information

How to Use This Dataset:

Homebrewing Adventures: Aspiring homebrewers can explore various beer recipes, ingredient combinations, and brewing methods to create unique craft beers.

Brewery Innovations: Breweries can find inspiration and new recipe ideas to expand their beer offerings.

Beer Research: Researchers and enthusiasts can analyze trends in craft beer recipes, such as popular ingredients and flavor profiles.

Food Pairing Guides: Use the "food_pairing" column to discover ideal food pairings for different beer styles.

Brewing Education: Learn from the "brewers_tips" column, where experienced brewers share valuable tips and tricks.

With the "Beer Brewing Formulas and Recipes Dataset🍺🧪" dataset, you have the key to unlocking endless beer-brewing possibilities and gaining valuable insights into the world of craft beer. Cheers to creativity and exploration! 🍻🌟

The global beer market value is set to reach a valuation of US$ 759.1 billion in 2023. This value is predicted to ascend to around US$ 1,679.5 billion by 2033. Notably, Sales of beer are poised to demonstrate a substantial CAGR of 7.6% throughout the forecast period.

Attributes	Details
Beer Market Size (2022)	US$ 759.1 billion
Beer Market Size (2023)	US$ 808.4 billion
Beer Market Projected Size (2033)	US$ 1,679.5 billion
Beer Market Forecasted Value CAGR (2023 to 2033)	7.6%

Beer Market Statistics by Key Countries

Country	2023 Value Share in the Global Market
United States	19.7%
China	9.8%
Germany	6.5%
Australia	3.5%
Japan	1.7%

Beer Market Statistics by Key Segments

Segment	Ale Beer
Market Share in 2023	33.50%

Segment	Retail Sales Channel
Market Share in 2023	36.50%

Snapshot img

Beer Market Forecast 2024-2028

The beer market size is projected to increase by USD 148.43 billion at a CAGR of 3.72% between 2023 and 2028.

APAC emerges as a high-growth region in the market, fueled by economic expansion and increasing GDP. Countries like China, Australia, Japan, Vietnam, and India witness rising consumption due to growing middle-class populations, higher per capita incomes, and the burgeoning preference for beer among Millennials, shaping regional market trends. Carlsberg Breweries AS company offers beer such as Elephant Beer, Carlsberg Smooth Draught Beer, Carlsberg Smooth Lager Beer, Pilsner Beer, and others.

Market Overview

The market shows an accelerated CAGR during the forecast period.

To get additional information about the market report, Request Free Sample

Market Driver

Rising demand for beer in emerging economies is the key factor driving the market. The demand for beer is experiencing a notable upsurge in emerging economies like India, China, Brazil, Vietnam, and South Africa. This surge in the market can be attributed to several factors, including changing lifestyles, rapid urbanization, increasing disposable income, and the growing popularity among millennials. These factors are driving a trend toward modernization and an increase in alcohol socialization, particularly with the popularity of bold-flavored drinks. To cater to this trend, global companies are actively working on improving their distribution channels and promoting online sales in emerging economies. For instance, in September 2021, Allagash Brewing Company launched Haunted House, a dark and hoppy ale.

In November 2020, Black Calder Brewing Co. introduced its first craft beer, making history as the first Black-owned brewery to do so. This is a lager or ale, has an alcohol content of 7% and a well-balanced aroma. It is brewed using malted cereal grains, hops, and yeast, and contains protein, sodium, and potassium. This introduction aligns with the increasing popularity of craft beer among the young-adult population demographics and the growing number of breweries worldwide. Similarly, in June 2020, Capital Brewing Co. and ONA Coffee collaborated to release Imperial Stout, a rich black beverages infused with 10.5% coffee and oatmeal. These product launches are contributing to the global market's growth and are expected to continue driving growth throughout the forecast period.

Market Trends

The introduction of new beer flavors is an emerging trend in the market. The growing popularity of flavored beer is attributable to the increasing volume of consumers in the global market. The introduction of new flavors in the beer segment brought by craft beers increased the demand in the global market. Flavors set a beer apart and act as a point of differentiation for consumers.

Furthermore, the millennials are a targeted segment of the breweries. They are experimental and like to try out newer experiences. Millennials' preference towards flavored beverages has seen breweries adopting and incorporating newer flavors in their offerings. For instance, Diageo launched Guinness Nitro Cold Brew Coffee in April 2021 in the US to increase its customer base. Therefore, the increasing demand for newer flavors from consumers is expected to drive the market in focus during the forecast period.

Market Challenge

The concerns about health regarding beer are major challenges impeding the market. The prolonged consumption of alcoholic beverages can cause various health-related issues. Excessive consumption can affect the physical and mental well-being of people. It can cause blackouts, loss of coordination, seizures, drowsiness, hypothermia, low blood sugar levels, vomiting, diarrhea, bleeding, and irregular heartbeat. The long-term consumption of these can also cause mental issues, heart problems, and liver failure.

Additionally, awareness about health and the inclination of people toward healthy lifestyles have encouraged the consumption of healthy drinks and beverages. The growing preference for non-alcoholic beverages, including health drinks, is affecting the growth of the global market. Globally, the consumption of alcohol has witnessed a steady decline owing to changing consumer preferences in favor of healthier, non-alcoholic beverages. Therefore, the propensity of consumers for non-alcoholic beverages, owing to concerns about health, is a major challenge for the growth of the global market during the forecast period.

Market Segmentation by Distribution Channel

On-trade distribution, also called on-premise distribution, includes establishments in which customers can purchase and consume. The various types of on-trade distribution channels include restaurants, bars, pubs, and hotels. The on-trade segment is estimated to grow significantly during the forecast period, owing to the rising consumption of these at bars and pubs by consumers in A

Graph and download economic data for Producer Price Index by Industry: Breweries: Beer and Ale in Barrels and Kegs (PCU3121203121207) from Jun 1982 to Mar 2024 about beer, PPI, industry, inflation, price index, indexes, price, and USA.

Open Beer Database - Categories

Open Beer Database - Breweries Geocode

By IMARC Group, the global craft beer market size reached US$ 130.4 Billion in 2023, Expected to Hit US$ 293.4 Billion, CAGR of 9.2% during 2024-2032.

Abstract: The play is a humorous and nostalgic exploration of the popular children’s books from the mid-twentieth century, The Famous Five by Enid Blyton. The play is set in the 1950s and follows four characters attempting to solve a mystery on a camping trip. The characters, inspired by the Famous Five, include Julian, Dick, George, and Anne, played by actors with learning disabilities. Along the way, they learn important lessons about teamwork, trust, and perseverance. The play features a range of fun and lively musical numbers and plenty of physical comedy and slapstick humour. It celebrates childhood adventure’s joy and innocence while poking fun at outdated aspects of the Famous Five stories. Details: The village of Much Kindling is introduced through a video montage of the important places, landmarks, and groups of people who inhabit it. This is set to the voice-over by Alan Titchmarsh and establishes the village, its geography, demographics, and socio-cultural landscape. The montage is followed by a dance number by the village residents in the marketplace in front of the bar called ‘The Old Bore.’ Everyone participates in the dance number, from the vicar to the chef. At the front and centre are characters dressed in prison clothes. As soon as the dance number ends, a town resident steps forward and reads from the newspaper that “prisoners have escaped and police are looking for them.” Upon hearing this, all the prisoners flee the stage. The villagers talk among themselves and say out loud that they must be extra careful now that the prisoners have escaped. The Reverend introduces himself, tries to calm everyone down by telling them they need not worry, and mentions that his people need him for spiritual guidance. Lady Rich is introduced next. She mentions that she is a devout churchgoer and has lived in a ‘big house’ for generations, and the people in the village are her people, and they need her. Next, Mr. Steel is introduced; he proclaims that he has lived in the village forever, the people there are his people and describes all that he makes. The Barman introduces himself next, saying that he has poured drinks for everyone on various occasions and that all the people in the village are his people. The baker, Mrs. Burns, is introduced next and says that she feeds all the people, and ‘daily bread’ is not just a saying for her but a way of life. The butcher, farmer, and local journalist are introduced next. Soon after, the constables step forward and introduce themselves, as does a person who is enterprising, street smart, and jack-of-all-trades. The station managers introduce themselves next, and a train arrives with Mr. and Mrs. Smith, who are tourists and will be staying at a local bed & breakfast. The main protagonists step out and declare they are here to meet their cousin Georgina and her dog, Timothy, and stay with their uncle Quentin and Aunt Fanny for the Christmas holidays. They are received by Aunt Fanny, Timmy, and Georgina, who asserts that she would like to be called George. The escaped convicts reach the town and disguise themselves. The cousins, led by Julian, feel something is not quite right. The scene shifts to the church. The priest tries to lead the choir, but people wonder how they can go about with their daily life when there are crooks at large and strangers in the village. The priest encourages everyone to think of them as visitors instead of strangers. It becomes an interactive play at this point, and the audience joins in the rendition of ‘Give me oil in my lamp.’ The disguised convicts join but leave as soon as the hymn finishes. Other villages, unaware that they were convicts, hope the new people can join the signing in the future too. The scene shifts, and escaped convicts discuss that it is an excellent village to stay in and lay low for a while, as the village is well connected and has many historical artefacts that can be looted and sold off. The convicts’ leader mentions that they can spend the next few days plotting this, but they need to blend in better not to arouse any suspicion. The play takes a jibe at sexism, banking, and capitalism through the conversations between Julian, Anne, George, and Richard. Lady Rich and the journalist overhear a conversation between Mr. and Mrs. Smith as he accuses her of making notes and stealing. She retorts that she is not stealing but borrowing. They all disperse. The scene shifts, and the escaped convicts discuss what to steal and settle on the ‘round table’ in the Great Wall. A video exposition on why the roundtable is valuable is played, explaining its historical significance. The scene shifts, and villagers go about their day with small talk about the weather. Finally, Mr. and Mrs. Smith enter; Mr. Smith mentions that if only the villagers knew there was a spy amongst them, he implies that Mrs. Smith is an alias. Mrs. Smith retorts that she is just a visitor in a village. Scene shifts. The police are shown to be oblivious to things happening around them as they keep saying nothing gets past them while people make all sorts of plans in the background. The five go camping. Aunt Fanny advises them to look after each other and not trust people blindly. The five describe the fun they had on picnics, campfires, and hikes, followed by professing their love for ginger beer. Scene shifts at the church, singing hymns and folk songs denote the passing of time - Christmas. The five become curious after seeing Aunt Fanny look out the window through her binoculars. Aunt Fanny mentions that she is looking at Osprey, but the children deduce that Osprey has not been sighted in Hampshire for a while. They believe she was focused on the B0ed and Breakfast and wonder whom she was watching. Scene shifts, and Mr. and Mrs. Smith enter. Mr. Smith questions Mrs. Smith if she feels like they are being watched. Mrs. Smith responds that it is a small village, and everyone watches each other. She adds that there cannot be any secrets in small places like this, and Mr. Smith mentions that no one cares and everyone can have their own private lives in London. Mrs. Smith mentions that the children are everywhere and always on an adventure. Mr. Smith asks her if she has been spying on the children, to which she replies that children have much potential, whereas adults are set in stone. The scene shifts, and the five narrate that they got to know the villagers during their stay. The five interact with Lady Rich and the Reverend. They mention that on one of their camping trips outside the village, they saw blinking lights in the village. The scene shifts again. The escaped convicts gather and mention that the police would have no idea that they (the convicts) would bury the loot so near the police station. As they try to dig up the earth, they are interrupted by the police, who demand to know what they are doing. The escaped convicts mention that they are foraging. When asked what they are foraging for at night, the convicts reply that they are foraging for truffles. The police seemed satisfied with their response and added that “they (convicts) have come to the right place for truffles.” The police also mention a criminal band on the loose, so the group should finish their task quickly and return home safely. They also offer a shovel, which they feel will make the digging faster than the crowbar. The police head out after mentioning that the group members should keep their eyes open and approach the police if they see anything suspicious. The convicts dig up and run away with the loot. The five arrive and narrate that they do not trust the group members they saw. They find a leaflet describing the Great Hall, and Julian mentions that he does not think they (the convicts in disguise) would have anything but ill intentions on their minds if they (the convicts in disguise) were visiting the Great Hall. George wonders if they (the convicts in disguise) plan to steal the roundtable, and Richard asks her if it is valuable. She replies that it is priceless. The leaflet also mentions the tools and equipment the gang of escaped convicts needs to pull off the heist along with the date on which the group was planning to pull off the heist - January 1, when everyone would be distracted in welcoming the new year. The five decide to alert the local constabulary. The scene shifts, and the criminals can be heard mentioning how they plan to steal the round table as the rest of the village welcomes in the new year, cut the table into smaller pieces for the American market, and the thieves can live happily ever after. As the thieves start to take out their tools, the five arrive and stop them. The constables arrive too and wonder who the mastermind behind the plot is. To everyone’s surprise, one of the constables is also involved in the heist. The constable chides them (the five) for not being smart enough to have guessed this, to which the five reply that it is possible that they already felt something was not quite right about the constable and had a backup plan. All the villagers arrive and try to stop the thieves and their activities. The corrupt constable reminds them that s/he has a revolver and a detonator for a bomb. The villagers try to convince the corrupt constable that s/he should not detonate the bomb as everyone in the village has helped and trusted them. The corrupt constable mentions that s/he does not need anyone; all s/he needed was a last big payout so that s/he can flee the country, move to Spain, and live in a grand house. Timmy reminds them that Aunt Fanny is not here, and she arrives in the nick of time, single-handedly fights off the thieves, and overpowers them. The butcher bowls a perfect ball that hits the corrupt constable in the head, and the corrupt constable is apprehended. The band of thieves (pointing at the five) mention that they would have gotten away with it if it was not for the pesky kids. It starts to

Snapshot img

US Beer Market Forecast 2023-2027

The US beer market size is estimated to increase by USD 24.15 billion between 2022 and 2027. The market size is forecast to grow at a CAGR of 4.12%. The expansion of the market is influenced by various factors, such as the rising demand for premium beers, the expansion of online retail channels, and the growing reliance on technology. However, the market faces challenges, including the burgeoning growth of legal recreational cannabis, stringent regulatory frameworks, and taxation policies, as well as the abundance of substitute products competing with beer.

What will be the size of the US Beer Market during the Forecast Period?

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Market Segmentation

By Product

The market share growth by the commercial beer segment will be significant during the forecast period. Large-scale commercial breweries that produce commercial segment in bulk are known as macro breweries. Commercial segment are sold under various brand names by large breweries like Molson Coors, Diageo, and Anheuser-Busch. Commercial segment typically do not offer the same variety of flavors as craft alcohol. However, the commercial market is being upended by the younger generation's changing tastes in alcohol.

Get a glance at the market contribution of various segments View the PDF Sample

The commercial beer segment was valued at USD 72.42 billion in 2017 and continued to grow until 2021. The demand for commercial variety has increased as a result of factors like innovation and authenticity in ales appealing to younger generations. Commercial variety is also anticipated to grow due to the rise in brewpubs and taprooms as well as the expanded selection of ale available on store shelves. Thus, owing to such factors, the segment is expected to grow during the forecast period.

Market Dynamics and Customer Landscape

The US Beer Market is experiencing significant growth driven by several key factors. One prominent driver is the increasing popularity of craft beer and microbreweries, which offer unique and innovative flavors to consumers. The brewing industry's use of quality ingredients such as cereal grains, barley, hops, and yeast contributes to the market's expansion, providing consumers with a wide range of options to suit their preferences. Additionally, the rise of low-alcohol and alcohol-free beer options caters to health-conscious consumers seeking alternatives with lower alcohol content.

Furthermore, the trend of alcohol socialization, where consumers gather to enjoy bold-flavored drinks, drives demand within the market. This social aspect of drinking fosters a vibrant beer culture, driving sales both in traditional venues like bars and pubs, as well as through emerging channels such as online retail and specialty stores. Additionally, the growing interest in flavored alcohol, exemplified by products like Fever-Tree's Blood Orange Ginger Beer, adds diversity to the market, enticing consumers with new and exciting taste experiences.

Overall, the US Beer Market is buoyed by a combination of innovation, consumer preference for diverse flavors, and the evolving landscape of alcohol consumption, positioning it for continued growth in the foreseeable future.

Our researchers analyzed the data with 2022 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.

Key Market Driver

The market is experiencing significant growth driven by the increasing popularity of online sales channels. The rise of e-commerce platforms has revolutionized the sales and marketing landscape for alcoholic beverages, particularly beer. In the United States, there's a notable uptick in the sales and promotion of alcohol through the Internet, providing a lucrative avenue for small businesses, including craft breweries, to expand their reach to a broader customer base. Platforms like Minibar, Drizly, and Liquor Mart Inc. have gained traction by offering a diverse range of bottled and craft alcohol products, enhancing accessibility and convenience for consumers. Furthermore, the presence of alcohol in online marketplaces enhances vendors' visibility and allows for comprehensive product reviews and descriptions, fostering consumer trust and engagement.

Many suppliers in the US market have established their online presence, selling their products directly through their websites and collaborating with various online retail stores, supermarkets, hypermarkets, and independent online merchants such as Amazon.com Inc. This omni-channel approach amplifies brand exposure and accessibility, contributing to market growth. As the advantages of online retailing continue to unfold, it is anticipated that more companies will venture into e-commerce, further bolstering the market during the forecast perio