Welcome!

News Feed Item

The US Soup Market: What Consumers Eat and Why?

LONDON, Jan. 29, 2014 /PRNewswire/ -- Reportbuyer.com just published a new market research report:

The US Soup Market: What Consumers Eat and Why?

Product Synopsis

This report provides the results for the Soup market in the US from Canadean's unique, highly detailed study of consumers' Consumer Packaged Goods (CPG) consumption habits, and forms part of an overall series covering all CPG product markets. Its coverage includes, but is not limited to, consumption behaviors, the extent to which consumer trends influence their consumption, the value of the market these trends influence, and brand and private label choices as well as retailer choices. Much of this information can also be analyzed by specific consumer groups, providing hard and fast data on consumers and markets at the product category level.

Introduction and Landscape

Why was the report written?
Marketers in the Soup market face a major challenge. Understanding market size and segmentation is valuable, but the key to effective targeting is knowing just how valuable specific consumer groups are, and to be able to quantify the impact of consumer trends. This data report solves these problems by providing survey-based data on consumer trends and consumer groups and, market data that shows the exact size of consumer groups, how much of the Soup market they account for, and which consumer trends drive their behavior.

What is the current market landscape and what is changing?
As consumer confidence increases proportionally to economic recovery, consumer trends will be directly affected. Since the global financial crisis of 2008-2009, the retail market has been characterized by an increase in the amount of discounted and own-brand products. Higher market volumes in the future will depend on effective marketing campaigns aimed at increasing consumption frequency in Medium and Heavy frequency ranges.

What are the key drivers behind recent market changes?
Consumers' uptake of products and the influence of consumer trends are fundamental causes of change in markets - making knowing what these trends are and the extent of their influence crucial. The survey-based data provided in this report examines over 20 consumer trends that affect the market and examines the share of consumption across 26 consumer groups. This data provides a detailed insight into exactly who the consumer is and just how much impact the latest consumer trends are having.

What makes this report unique and essential to read?
The data provided is unique in the market as it tracks consumer behavior through to its actual value impact on a product market. This provides readers with a unique data analysis of the market, allowing marketing tactics and strategy to be updated in line with the very latest consumer behaviors.

Key Features and Benefits

Consumer data, based upon proprietary surveys and then consumer group tracking and modeling for the following specific categories: Canned/Ambient Soup, Chilled Soup, Dried Soup (mixes), Frozen Soup, and UHT Soup.

Detailed consumer segmentation covering over 26 consumer groups, 20 consumer trends, and consumption frequency for each product category.

Consumer penetration for brands and private labels, based upon the original survey and then subsequent consumer tracking and modeling.

Unique retailer choice data at the product category level, based upon the original survey and then subsequent consumer tracking and modeling.

Key Market Issues

The population of the US is fairly evenly split between Males and Females; however, Males represent a larger value share of the Soup market. The category showing the largest share in favor of Males is Frozen Soup where they consume almost two-thirds. The only category where Females consume a higher share than Males is UHT Soup. Marketers in these categories may find that gender based campaigns would be beneficial.

Two-thirds of the US population describes itself as Urban; however, Urban Dwellers represent over three-quarters of the Chilled Soup market. In general, the Soup market sees higher consumption in Urban areas, which indicates that Rural Dwellers either don't consume much Soup or prefer to make their own. Marketers should target Urban populations with their campaigns.

In proportion to their share of the population, Tweens and Early Teens are the largest group of Soup consumers in the US. This result is driven by their higher average frequency of consumption compared to other age groups. However, in terms of total market value, Older Consumers account for the single largest share of market value and are a prime target for marketers.

Key Highlights

Canned/Ambient Soup dominates the Soup market in the US with a value share of more than three-quarters. Any campaigns to increase consumption rates or appeal to new consumers will have the largest affect in this category. This category will also be most attractive to new entrants.

Not only do a large proportion of US consumers, in certain categories at least, highlight that specific consumer trends have an influence on their consumption, this translates into a significant proportion of actual value being directly influenced as well. Consumers are therefore acting on these trends enough to ensure that targeting them, in the right categories, is essential to success.

Private label penetration in the US Soup market is highest in the Chilled Soup category at just over 25% by volume. The Private Label market in the US is not yet well established; however, national brands in the Chilled Soup category should act now to prevent further loss to Private Label versions before they become a serious threat.

1 Introduction
1.1 What is this Report About?
1.2 Definitions
1.2.1 Consumer Trends
1.2.2 Consumer Groups
1.2.3 End Consumers
1.2.4 Volume Units and Aggregations
1.2.5 Population Profiles (for interpretation of tables and charts)
2 Methodology
2.1 Introduction
2.2 Initial data are based on a large scale, international, program of online consumer surveys
2.3 Demographic groups tracking provides time series data
3 Consumer Segmentation, Group Value and Trend Influence
3.1 Cohort Groups and Soup Market Value
3.1.1 Age Groups
3.1.2 Gender Groups
3.1.3 Location Groups
3.1.4 Education Achieved Groups
3.1.5 Wealth Groups
3.1.6 Busy Lives Groups
3.2 Cohort Groups and Market Value by Category
3.2.1 Canned/Ambient Soup
3.2.2 Chilled Soup
3.2.3 Dried Soup (mixes)
3.2.4 Frozen Soup
3.2.5 Uht Soup
3.3 Behavioral Trends and Market Value
3.3.1 Canned/Ambient Soup
3.3.2 Chilled Soup
3.3.3 Dried Soup (mixes)
3.3.4 Frozen Soup
3.3.5 Uht Soup
4 Consumption Analysis
4.1 Consumption Frequencies by Age and Gender
4.1.1 Canned/Ambient Soup
4.1.2 Chilled Soup
4.1.3 Dried Soup (mixes)
4.1.4 Frozen Soup
4.1.5 Uht Soup
4.2 Consumer Profiles by Product Category
4.2.1 Canned/Ambient Soup
4.2.2 Chilled Soup
4.2.3 Dried Soup (mixes)
4.2.4 Frozen Soup
4.2.5 Uht Soup
5 Brand vs. Private Label Uptake
5.1 Brand vs. Private Label Consumer Penetration
5.1.1 By Category
5.2 Soup Brand Choice and Private Label Consumer Penetration
5.2.1 Canned/Ambient Soup
5.2.2 Chilled Soup
5.2.3 Dried Soup (mixes)
5.2.4 Frozen Soup
5.2.5 Uht Soup
6 The Share of Consumers Influenced by Trends
6.1 Trend Drivers of Consumers' Product Choices
6.1.1 Overall Soup
6.1.2 Canned/Ambient Soup
6.1.3 Chilled Soup
6.1.4 Dried Soup (mixes)
6.1.5 Frozen Soup
6.1.6 Uht Soup
7 Consumption Impact: Market Valuation
7.1 Soup Value Impact of Consumer Consumption Behavior
7.1.1 Market Value by Category
7.1.2 Market Volume by Category
7.2 Soup Value Analysis by Category
7.2.1 Market Value by Category
7.2.2 Expenditure per Capita by Category
7.2.3 Expenditure per Household by Category
7.3 Soup Volume Impact of Consumer Behavior Trends
7.3.1 Market Volume by Category
7.3.2 Consumption per Capita by Category
7.3.3 Consumption Per Household by Category
8 Retailer Choice and Category Share
8.1 Retailer Volume Share
8.1.1 Retailer Volume Share in Soup
8.2 Retailer Volume Share by Category
8.2.1 Retail Share by Volume - Canned/Ambient Soup
8.2.2 Retail Share by Volume - Chilled Soup
8.2.3 Retail Share by Volume - Dried Soup (mixes)
8.2.4 Retail Share by Volume - Frozen Soup
8.2.5 Retail Share by Volume - Uht Soup
8.3 Profiles of End-Consumers of Soup, by Retailer Used
8.3.1 Costco
8.3.2 Kroger
8.3.3 Publix
8.3.4 Safeway
8.3.5 Supervalu
8.3.6 Wal-Mart
8.3.7 Other
9 Appendix
9.1 About Canadean
9.2 Disclaimer

List of Tables

Table 1: Volume Units for the Soup Market
Table 2: United States Survey Respondent profile (weighted), 2012
Table 3: United States Soup Value Share (%), by Age Groups, 2012
Table 4: United States Soup Value Share (%), by Gender, 2012
Table 5: United States Soup Value Share (%), by Urban and Rural Dwellers, 2012
Table 6: United States Soup Value Share (%) by Education Level Achieved Groups, 2012
Table 7: United States Soup Value Share (%) by Wealth Groups, 2012
Table 8: United States Soup Value Share (%) by Busy Lives Groups, 2012
Table 9: United States Canned/Ambient Soup Consumer Group Share (% market value), 2012
Table 10: United States Chilled Soup Consumer Group Share (% market value), 2012
Table 11: United States Dried Soup (mixes) Consumer Group Share (% market value), 2012
Table 12: United States Frozen Soup Consumer Group Share (% market value), 2012
Table 13: United States Uht Soup Consumer Group Share (% market value), 2012
Table 14: United States Total Canned/Ambient Soup Value (US Dollar millions) and Value Share Influenced by Behavioral Trends, 2012
Table 15: United States Total Chilled Soup Value (US Dollar millions) and Value Share Influenced by Behavioral Trends, 2012
Table 16: United States Total Dried Soup (mixes) Value (US Dollar millions) and Value Share Influenced by Behavioral Trends, 2012
Table 17: United States Total Frozen Soup Value (US Dollar millions) and Value Share Influenced by Behavioral Trends, 2012
Table 18: United States Total Uht Soup Value (US Dollar millions) and Value Share Influenced by Behavioral Trends, 2012
Table 19: United States Canned/Ambient Soup Consumption Frequency Analysis (% by Age Group, by Consumption Group), 2012
Table 20: United States Canned/Ambient Soup Consumption Frequency Analysis (% by Gender by Consumption Group), 2012
Table 21: United States Chilled Soup Consumption Frequency Analysis (% by Age Group, by Consumption Group), 2012
Table 22: United States Chilled Soup Consumption Frequency Analysis (% by Gender by Consumption Group), 2012
Table 23: United States Dried Soup (mixes) Consumption Frequency Analysis (% by Age Group, by Consumption Group), 2012
Table 24: United States Dried Soup (mixes) Consumption Frequency Analysis (% by Gender by Consumption Group), 2012
Table 25: United States Frozen Soup Consumption Frequency Analysis (% by Age Group, by Consumption Group), 2012
Table 26: United States Frozen Soup Consumption Frequency Analysis (% by Gender by Consumption Group), 2012
Table 27: United States Uht Soup Consumption Frequency Analysis (% by Age Group, by Consumption Group), 2012
Table 28: United States Uht Soup Consumption Frequency Analysis (% by Gender by Consumption Group), 2012
Table 29: United States Canned/Ambient Soup Consumer Profiles (% consumers by sub-group), 2012
Table 30: United States Chilled Soup Consumer Profiles (% consumers by sub-group), 2012
Table 31: United States Dried Soup (mixes) Consumer Profiles (% consumers by sub-group), 2012
Table 32: United States Frozen Soup Consumer Profiles (% consumers by sub-group), 2012
Table 33: United States Uht Soup Consumer Profiles (% consumers by sub-group), 2012
Table 34: United States Soup Private Label Consumer Penetration (% Consumers Using), by Category, 2012
Table 35: United States Canned/Ambient Soup Consumer Penetration of Survey-tracked Brands and Private Label (% Consumers Using), 2012
Table 36: United States Chilled Soup Consumer Penetration of Survey-tracked Brands and Private Label (% Consumers Using), 2012
Table 37: United States Dried Soup (mixes) Consumer Penetration of Survey-tracked Brands and Private Label (% Consumers Using), 2012
Table 38: United States Frozen Soup Consumer Penetration of Survey-tracked Brands and Private Label (% Consumers Using), 2012
Table 39: United States Uht Soup Consumer Penetration of Survey-tracked Brands and Private Label (% Consumers Using), 2012
Table 40: United States Soup: Percentage of Consumers Stating that Specific Trends Influence Their Consumption, 2012
Table 41: United States, Canned/Ambient Soup: Percentage of Consumers Stating that Specific Trends Influence Their Consumption, 2012
Table 42: United States, Chilled Soup: Percentage of Consumers Stating that Specific Trends Influence Their Consumption, 2012
Table 43: United States, Dried Soup (mixes): Percentage of Consumers Stating that Specific Trends Influence Their Consumption, 2012
Table 44: United States, Frozen Soup: Percentage of Consumers Stating that Specific Trends Influence Their Consumption, 2012
Table 45: United States, Uht Soup: Percentage of Consumers Stating that Specific Trends Influence Their Consumption, 2012
Table 46: United States Soup Market Value (US Dollar million), by Category, 2012
Table 47: United States Soup Market Volume (Kg m), by Category, 2012
Table 48: United States Soup Market Value (US$ million), by Category, 2012
Table 49: United States Soup Expenditure Per Capita (US Dollar), by Category, 2012
Table 50: United States Soup Expenditure Per Household (US Dollar), by Category
Table 51: United States Soup Market Volume (Kg m), by Category, 2012
Table 52: United States Soup Consumption Per Capita (Kg / Population), by Category, 2012
Table 53: United States Soup Consumption Per Household (Kg / Household), by Category, 2012
Table 54: United States Soup Survey-tracked Retailer Shares by Volume (% of Kg m), 2012
Table 55: United States Canned/Ambient Soup Survey-tracked Retailer Shares by Volume (Kg m), 2012
Table 56: United States Chilled Soup Survey-tracked Retailer Shares by Volume (Kg m), 2012
Table 57: United States Dried Soup (mixes) Survey-tracked Retailer Shares by Volume (Kg m), 2012
Table 58: United States Frozen Soup Survey-tracked Retailer Shares by Volume (Kg m), 2012
Table 59: United States Uht Soup Survey-tracked Retailer Shares by Volume (Kg m), 2012
Table 60: United States: Profile of Soup Consumers Whose Goods Mainly Come From Costco (% by Subgroup, as tracked by the Survey), 2012
Table 61: United States: Profile of Soup Consumers Whose Goods Mainly Come From Kroger (% by Subgroup, as tracked by the Survey), 2012
Table 62: United States: Profile of Soup Consumers Whose Goods Mainly Come From Publix (% by Subgroup, as tracked by the Survey), 2012
Table 63: United States: Profile of Soup Consumers Whose Goods Mainly Come From Safeway (% by Subgroup, as tracked by the Survey), 2012
Table 64: United States: Profile of Soup Consumers Whose Goods Mainly Come From Supervalu (% by Subgroup, as tracked by the Survey), 2012
Table 65: United States: Profile of Soup Consumers Whose Goods Mainly Come From Wal-Mart (% by Subgroup, as tracked by the Survey), 2012
Table 66: United States: Profile of Soup Consumers Whose Goods Mainly Come From Other (% by Subgroup, as tracked by the Survey), 2012

List of Figures

Figure 1: Consumer Trends Report Methodology
Figure 2: United States Soup Value Share (%), by Age Groups, 2012
Figure 3: United States Soup Value Share (%), by Gender, 2012
Figure 4: United States Soup Value Share (%), by Urban and Rural Dwellers, 2012
Figure 5: United States Soup Value Share (%) by Education Level Achieved Groups, 2012
Figure 6: United States Soup Value Share (%) by Wealth Groups, 2012
Figure 7: United States Soup Value Share (%) by Busy Lives Groups, 2012
Figure 8: United States Canned/Ambient Soup Consumption Frequency Analysis (% by Age Group by Consumption Group), 2012
Figure 9: United States Canned/Ambient Soup Consumption Frequency Analysis (% by Gender by Consumption Group), 2012
Figure 10: United States Chilled Soup Consumption Frequency Analysis (% by Age Group by Consumption Group), 2012
Figure 11: United States Chilled Soup Consumption Frequency Analysis (% by Gender by Consumption Group), 2012
Figure 12: United States Dried Soup (mixes) Consumption Frequency Analysis (% by Age Group by Consumption Group), 2012
Figure 13: United States Dried Soup (mixes) Consumption Frequency Analysis (% by Gender by Consumption Group), 2012
Figure 14: United States Frozen Soup Consumption Frequency Analysis (% by Age Group by Consumption Group), 2012
Figure 15: United States Frozen Soup Consumption Frequency Analysis (% by Gender by Consumption Group), 2012
Figure 16: United States Uht Soup Consumption Frequency Analysis (% by Age Group by Consumption Group), 2012
Figure 17: United States Uht Soup Consumption Frequency Analysis (% by Gender by Consumption Group), 2012
Figure 18: United States Soup Market Value (US$ million), by Category, 2012
Figure 19: United States Soup Expenditure Per Capita (US$), by Category, 2012
Figure 20: United States Soup Expenditure Per Household (US$), by Category
Figure 21: United States Soup Survey-tracked Retailer Shares by Volume (% of Kg m), 2012
Figure 22: United States Canned/Ambient Soup Survey-tracked Retailer Shares by Volume (Kg m), 2012
Figure 23: United States Chilled Soup Survey-tracked Retailer Shares by Volume (Kg m), 2012
Figure 24: United States Dried Soup (mixes) Survey-tracked Retailer Shares by Volume (Kg m), 2012
Figure 25: United States Frozen Soup Survey-tracked Retailer Shares by Volume (Kg m), 2012
Figure 26: United States Uht Soup Survey-tracked Retailer Shares by Volume (Kg m), 2012

Companies Mentioned

Costco, Kroger, Publix, Safeway, Supervalu ,Walmart

Read the full report:
The US Soup Market: What Consumers Eat and Why?
http://www.reportbuyer.com/food_drink/fruit_vegetable/us_soup_market_consumers_eat_why_1.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Fruit_and_Vegetable

For more information:
Sarah Smith
Research Advisor at Reportbuyer.com
Email: [email protected]  
Tel: +44 208 816 85 48
Website: www.reportbuyer.com

SOURCE ReportBuyer

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
New Relic, Inc. has announced a set of new features across the New Relic Software Analytics Cloud that offer IT operations teams increased visibility, and the ability to diagnose and resolve performance problems quickly. The new features further IT operations teams’ ability to leverage data and analytics, as well as drive collaboration and a common, shared understanding between teams. Software teams are under pressure to resolve performance issues quickly and improve availability, as the comple...
The proper isolation of resources is essential for multi-tenant environments. The traditional approach to isolate resources is, however, rather heavyweight. In his session at 18th Cloud Expo, Igor Drobiazko, co-founder of elastic.io, will draw upon their own experience with operating a Docker container-based infrastructure on a large scale and present a lightweight solution for resource isolation using microservices. He will also discuss the implementation of microservices in data and applicat...
Join IBM June 8 at 18th Cloud Expo at the Javits Center in New York City, NY, and learn how to innovate like a startup and scale for the enterprise. You need to deliver quality applications faster and cheaper, attract and retain customers with an engaging experience across devices, and seamlessly integrate your enterprise systems. And you can't take 12 months to do it.
See storage differently! Storage performance problems have only gotten worse and harder to solve as applications have become largely virtualized and moved to a cloud-based infrastructure. Storage performance in a virtualized environment is not just about IOPS, it is about how well that potential performance is guaranteed to individual VMs for these apps as the number of VMs keep going up real time. In his session at 18th Cloud Expo, Dhiraj Sehgal, in product and marketing at Tintri, will discu...
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, will discuss how research has demonstrated the value of Machine Learning in delivering next generation analytics to im...
This is not a small hotel event. It is also not a big vendor party where politicians and entertainers are more important than real content. This is Cloud Expo, the world's longest-running conference and exhibition focused on Cloud Computing and all that it entails. If you want serious presentations and valuable insight about Cloud Computing for three straight days, then register now for Cloud Expo.
As you respond to increasing requests for new analytics, you need fast and flexible technology in your arsenal so that you can deploy the right workload to the right platform for the need at hand. Do you need self-service and fast time to value? Do you have data and application control and privacy needs, along with strict SLAs to meet? IBM dashDB™ is data warehouse technology powered by in-memory computing and in-database analytics that are designed for fast results, scalability and more.
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead ...
SYS-CON Events announced today that SoftLayer, an IBM Company, has been named “Gold Sponsor” of SYS-CON's 18th Cloud Expo, which will take place on June 7-9, 2016, at the Javits Center in New York, New York. SoftLayer, an IBM Company, provides cloud infrastructure as a service from a growing number of data centers and network points of presence around the world. SoftLayer’s customers range from Web startups to global enterprises.
So, you bought into the current machine learning craze and went on to collect millions/billions of records from this promising new data source. Now, what do you do with them? Too often, the abundance of data quickly turns into an abundance of problems. How do you extract that "magic essence" from your data without falling into the common pitfalls? In her session at @ThingsExpo, Natalia Ponomareva, Software Engineer at Google, will provide tips on how to be successful in large scale machine lear...
IoT device adoption is growing at staggering rates, and with it comes opportunity for developers to meet consumer demand for an ever more connected world. Wireless communication is the key part of the encompassing components of any IoT device. Wireless connectivity enhances the device utility at the expense of ease of use and deployment challenges. Since connectivity is fundamental for IoT device development, engineers must understand how to overcome the hurdles inherent in incorporating multipl...
Up until last year, enterprises that were looking into cloud services usually undertook a long-term pilot with one of the large cloud providers, running test and dev workloads in the cloud. With cloud’s transition to mainstream adoption in 2015, and with enterprises migrating more and more workloads into the cloud and in between public and private environments, the single-provider approach must be revisited. In his session at 18th Cloud Expo, Yoav Mor, multi-cloud solution evangelist at Cloudy...
We’ve worked with dozens of early adopters across numerous industries and will debunk common misperceptions, which starts with understanding that many of the connected products we’ll use over the next 5 years are already products, they’re just not yet connected. With an IoT product, time-in-market provides much more essential feedback than ever before. Innovation comes from what you do with the data that the connected product provides in order to enhance the customer experience and optimize busi...
The IETF draft standard for M2M certificates is a security solution specifically designed for the demanding needs of IoT/M2M applications. In his session at @ThingsExpo, Brian Romansky, VP of Strategic Technology at TrustPoint Innovation, will explain how M2M certificates can efficiently enable confidentiality, integrity, and authenticity on highly constrained devices.
The paradigm has shifted. A Gartner survey shows that 43% of organizations are using or plan to implement the Internet of Things in 2016. However, not just a handful of companies are still using the old-style ad-hoc trial-and-error ways, unaware of the critical barriers, paint points, traps, and hidden roadblocks. How can you become a winner? In his session at @ThingsExpo, Tony Shan will present a methodical approach to guide the holistic adoption and enablement of IoT implementations. This ov...