Food & Beverages

United States

Highlights
Market definition
in-scope / out-of-scope
Reports special
  • Revenue in the Food & Beverages segment amounts to US$16,246m in 2018.
  • Revenue is expected to show an annual growth rate (CAGR 2018-2022) of 12.5%, resulting in a market volume of US$25,979m by 2022.
  • User penetration is 24.3% in 2018 and is expected to hit 28.5% by 2022.
  • The average revenue per user (ARPU) currently amounts to US$203.66.
  • In global comparison, most revenue is generated in China (US$18,521m in 2018).
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The eCommerce market segment Food & beverages contains the online sale of fresh and packaged foods (excluding baby food), delicacies and beverages. This market segment covers for example the sale of fruit, vegetables, pasta, snacks, sweets, refrigerated products, frozen food, soft drinks and alcoholic drinks via a digital channel. The most significant channel for the online sale of food and beverages are, at present, the online shops of the large supermarkets and warehouse stores, for example, walmart.com or subscription services such as HelloFresh. Not included in this market segment are delivery services of ready-to-eat meals. All monetary figures refer to the annual gross revenue and do not factor in shipping costs.
in-scope
  • Food (fresh and packaged foods, fruits, vegetables, pasta, snacks, sweets, refrigerated products, frozen food)
  • Soft drinks and alcoholic drinks
out-of-scope
  • Baby food
eCommerce Report 2018 - Food & Personal Care

eCommerce Report 2018 - Food & Personal Care

Statista Digital Market Outlook – Segment Report
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Revenue (2018)
+20.1% yoy
US$16,246m
User (2018)
+5.1% yoy
79.8m

Revenue Revenue Growth

in the Food & Beverages market in million US$ in percent

Reading Support Revenue in the Food & Beverages segment amounts to US$16,246m in 2018. Reading Support The Food & Beverages segment is expected to show a revenue growth of 16.8% in 2019.

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  • Revenue
  • Revenue Growth
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Revenue:

The “Revenue” box shows the forecasted revenue development of the selected market (market segment, region) for each year.


Revenue Growth:

The “Revenue Growth” box shows the year-over-year revenue development of the selected market (market segment, region) in percentage terms.

A definition and detailed explanation of the displayed markets can be found here.
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User Penetration Rate

in the Food & Beverages market in millions in percent

Reading Support In the Food & Beverages segment, the number of users is expected to amount to 95.6m by 2022. Reading Support User penetration in the Food & Beverages segment is at 24.3% in 2018.

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  • User
  • Penetration Rate
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User:

The “User” box shows the number of active paying customers (or accounts) of the selected market (market segment, region) in millions for each year.


Penetration Rate:

The “Penetration Rate” box shows the share of active paying customers (or accounts) from the total population of the selected market (market segment, region) for each year.

A definition and detailed explanation of the displayed markets can be found here.
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ARPU

in the Food & Beverages market in US$

Reading Support The average revenue per user (ARPU) in the Food & Beverages segment amounts to US$203.66 in 2018.

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ARPU:

The “ARPU” box shows the average annual revenue per paying user of the selected market (market segment, region) for each year.

A definition and detailed explanation of the displayed markets can be found here.
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Sales Channels

in the Food & Beverages market in percent

Reading Support In the Food & Beverages segment, 2% of total market revenue will be generated through online sales by 2022.

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Sales Channels:

The distribution channel Online refers to the purchase of physical goods in online retail. In other words, the purchase is concluded via the internet - on a desktop PC, tablet or smartphone. The distribution channel Offline covers all purchases in stationary stores, via telesale or mailorder (e.g. print catalogs)

A definition and detailed explanation of the displayed markets can be found here.
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Users by age Users by income Users by gender

in the Food & Beverages market in percent in percent in percent

Reading Support In the year 2017 a share of 33.4% of users is 25-34 years old. Reading Support In the year 2017 a share of 38.3% of users is in the high income group. Reading Support In the year 2017 a share of 53.9% of users is male.

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  • Users by age
  • Users by income
  • Users by gender
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Users by age:

The Users by age box shows the age distribution of users of the selected market (market segment, region) in age groups. The data is based on Statista's Global Consumer Survey.

Users by income:

The Users by income box shows the income distribution of users of the selected market (market segment, region) in tertiles. The data is based on Statista's Global Consumer Survey. Values shown are only based on survey respondents who answered the question regarding their income.

Users by gender:

The Users by gender box shows the gender distribution of users of the selected market (market segment, region). The data is based on Statista's Global Consumer Survey.

A definition and detailed explanation of the displayed markets can be found here.
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Global Comparison - Revenue Global Comparison - User Penetration

in the Food & Beverages market in million US$ in percent

Reading Support With a market volume of US$18,521m in 2018, most revenue is generated in China. Reading Support With a rate of 40.0%, the user penetration in the Food & Beverages segment is highest in Hong Kong.

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  • Global Comparison - Revenue
  • Global Comparison - User Penetration
Top Countries
China
United States
Japan
United Kingdom
France
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Global Comparison – Revenue:

The “Revenue” tab shows a comparison of revenues for the leading economies in the selected market (market segment, region) and year.


Global Comparison – User Penetration:

The “User Penetration” tab shows a comparison of user penetration rates for 50 of the world’s leading digital economies in the selected market (market segment, region) and year.

A definition and detailed explanation of the displayed markets can be found here.
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Key Market Indicators

The following Key Market Indicators give an overview of the demographic, economic and technological development of the selected region on the basis of general KPIs. The calculation of Statista’s Market Outlook is based on a complex market-driver logic including over 400 region-specific data sets.

2016201720182019202020212022 CAGR
(2016-2022)
Mobile Phones Volume / Capita in units
Average per capita sales of mobile phones in units | Source: Statista Analysis
x.xx x.xx x.xx x.xx x.xx x.xx x.xx
Laptops Volume / Capita in units
Average per capita sales of laptops and tablets in units. | Source: Statista Analysis
x.xx x.xx x.xx x.xx x.xx x.xx x.xx
Desktop-PCs Volume / Capita in units
Average per capita sales of Desktop-PCs in units. | Source: Statista Analysis
x.xxx x.xxx x.xxx x.xxx x.xxx x.xxx x.xxx
Mobile Phones Revenue / Capita in US$
Average revenue of mobile phones per capita | Source: Statista Analysis
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Laptops Revenue / Capita in US$
Average revenue of laptops and tablets per capita. | Source: Statista Analysis
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Desktop-PC Revenue / Capita in US$
Average revenue of Desktop-PCs per capita. | Source: Statista Analysis
xx.x xx.x xx.x x.x x.x x.x x.x
Smartphone Penetration in %
Percentage of individuals from the total population using a smartphone on a monthly basis. | Source: Statista Analysis
xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Internet Penetration in %
Percentage of individuals from the total population using the internet on a monthly basis. | Source: Statista Analysis
xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Urban Population Share in %
Share of population in the selected region living in urban areas. | Source: World Bank, Statista Analysis
xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Consumer Spending / Capita in US$
Average consumer spending per capita of private households in the selected region | Source: Statista Analysis, based on UN, World Bank, IMF, Eurostat and national statistical offices
xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx
GDP / Capita in US$
Gross domestic product of the selected region in relation to the total population. | Source: IMF
xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx
Households in m
Total number of households in the selected region. | Source: Statista Analysis
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Population in m
Number of individuals (all ages) living in the selected region. | Source: World Bank, Statista Analysis
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
0-15 years in m
Number of individuals (age 0-15) living in the selected region. | Source: World Bank, Statista Analysis
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16-24 years in m
Number of individuals (age 16-24) living in the selected region. | Source: World Bank, Statista Analysis
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25-34 years in m
Number of individuals (age 25-34) living in the selected region. | Source: World Bank, Statista Analysis
xx.x xx.x xx.x xx.x xx.x xx.x xx.x
35-44 years in m
Number of individuals (age 35-44) living in the selected region. | Source: World Bank, Statista Analysis
xx.x xx.x xx.x xx.x xx.x xx.x xx.x
45-54 years in m
Number of individuals (age 45-54) living in the selected region. | Source: World Bank, Statista Analysis
xx.x xx.x xx.x xx.x xx.x xx.x xx.x
55+ years in m
Number of individuals (age 55 and older) living in the selected region. | Source: World Bank, Statista Analysis
xx.x xx.x xx.x xx.x xx.x xxx.x xxx.x
Telecommunication
Click arrow to expand
Average Connection Speed in kbits/s
Average internet connection speed in Kbits/s. | Source: Akamai, Statista Analysis
xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx
Fixed Broadband Subscription / 100 Capita
Number of fixed broadband subscriptions per 100 inhabitants. | Source: World Bank, Statista Analysis
xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Source: Statista, August 2018
Source: Statista, August 2018, based on IMF, World Bank, UN and Eurostat

Top 5 online stores by net sales

The following boxes show the top 5 online stores by eCommerce net sales (first party sales) in the Food & Beverages market in United States. Data basis for net sales and market share are company surveys, annual reports and a complex sales forecast model developed by Statista.

amazonfresh.com
Net sales (2017)
xxx.xxx.x
Market share (2017)
x.x%
amazon.com
Net sales (2017)
xxx.xxx.x
Market share (2017)
x.x%
walmart.com
Net sales (2017)
xxx.xxx.x
Market share (2017)
x.x%
ediblearrangements.com
Net sales (2017)
xxx.xxx.x
Market share (2017)
x.x%
costco.com
Net sales (2017)
xxx.xxx.x
Market share (2017)
x.x%
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