PLANT-BASED FOOD & DRINK - CANADA, MAY 2019 - Mintel
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PLANT-BASED FOOD & DRINK
CANADA, MAY 2019
NEXT 
REPORT, US - YEAR MONTH 2
OVERVIEW
What you need to know essential to growing overall penetration and consequently, growing
sales. This Report identifies what the main barriers are, and uses
One of the biggest shifts in eating behaviours in Canada and in consumer feedback to suggest potential opportunities in the space.
other markets has been the movement towards eating and drinking
plant-based food and beverage alternatives. Does this represent a Definition
passing fad or a sustained, longer-term shift? Feedback gathered
from Canadians for this Report suggests the latter. The base of Plant-based proteins are proteins utilized in foods and have been
Canadians who indicate that they are trying to add more plant- derived from a plant or vegetable source, such as beans/legumes
based substitutes to their diet is relatively broad (28%). That (eg soy, chickpeas, lentils, peas), nuts (eg almonds, cashews),
said, barriers to eating plant-based foods exist, and the ability of seeds (eg chia, hemp, sesame) and grains (eg wheat, quinoa), as
companies that operate in this space to overcome them will be well as others.
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REPORT CONTENT
Overview
What you need to know
Definition
Executive Summary
The issues
Taste, cost and the perception of being overly-processed are hurdles for plant-based alternatives
Figure 1: Barriers to usage if plant-based products (% agree), March 2019
Vegans and vegetarians represent a relatively small slice of the broader consumer base
Figure 2: Diet preferences, March 2019
Ethical considerations are a concern for sub-set of consumers
Figure 3: Select reasons for avoiding animal-based products, by diet type, March 2019
The opportunities
Younger women are key to the growth of the segment
Figure 4: “Trying to add more plant-based substitutes to (their) diet”, women 18-24 vs overall population, March 2019
Older consumers more aware of their protein intake, but younger consumers looking to add more protein to what they eat and drink
Figure 5: Attitudes toward protein, by age, March 2019
Pasta and cereal are the most commonly accepted foods in which to include plant-based protein
Figure 6: Food categories eaten with plant-based protein, March 2019
What it means
The Market
What You Need to Know
Focus on sustainability is increasingly becoming a driver in food innovation
Long-term trends show a softening in beef consumption
Canada’s food guide places focus on protein
Market Factors
Focus on sustainability is increasingly becoming a driver in food innovation
Figure 7: Global population by half-century (2050 forecast)
Focus on health and weight management to continue
Figure 8: Body mass index, self-reported rate of being overweight or obese among Canadian adults, by gender, 2010-14
Long-term trends show a softening in beef consumption
Figure 9: Beef, carcass by weight, 1960 - 2017
Canada food guide increases focus on protein
Key Players
What You Need to Know
Meat companies are expanding to being “protein” companies
Education is needed to make Canadians more comfortable with plant-based meat alternatives
Plant-based ingredients continue to evolve
What’s Working?
Meat companies are expanding to being “protein” companies
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Challenges
Education is needed to make Canadians more comfortable with plant-based meat alternatives
Figure 10: Behind the Impossible Burger, Ep. 1: Science for the Plate & Planet, March 2018
What’s in a name? War or words brewing between different interests
What’s Next?
The next burger wars may be plant based
Figure 11: Beyond Meat They Beyond Burger Plant Based Burger Patties (US), January 2017
Figure 12: Beyond Meat Beyond Sausage Brat Original Plant-Based Sausage (US), November 2018
‘Farm-to-fork’ may evolve from ‘lab-to-fork’
Figure 13: How to make cell-based meat, December 2016
Plant-based ingredients continue to evolve
Figure 14: Oatly! The Original Oat-Milk (US), March 2019
Figure 15: Purely Elizabeth Dark Chocolate Strawberry Superfood Granola (US), January 2019
Figure 16: Convitta Linha Premium Shitake Shimeji Handmade Burger (Brazil), February 2019
Figure 17: Oh Naturel! Quinoa Mushroom Burgers (US), May 2018
Figure 18: Happy Cheeze Fresh Cheese Alternative from Cashews with Spirulina Chilli (Germany), January 2018
Plant-based formats also continue to evolve
Figure 19: Gardein Fish-Free Crabless Cakes (US), April 2019
Figure 20: Trader Joe’s Vegan Jackfruit Cakes (US), January 2019
Figure 21: Gardein Meat-Free Chipotle Lime Crispy Fingers (Canada), April 2019
Figure 22: PC President’s Choice Corn, Carrot & Kale Veggie Bites (Canada), March 2019
Figure 23: Daiya Mozza Style Slices (Canada), May 2019
Figure 24: Daiya Deluxe White Cheddar Style Veggie Cheezy Mac (Canada), February 2017
Figure 25: Healthy Choice Power Bowls Cauliflower Curry (US), September 2018
Figure 26: Green Giant Fresh Buddha Bowl (US), April 2019
Figure 27: Lundberg Family Farms Organic Grainspirations Korean Style Chili Rice & Quinoa Bowl (US), October 2018
The Consumer
What You Need to Know
A quarter of Canadians want to eat/drink more plant-based food/drinks
Three main barriers to using plant-based alternatives exist
Protein is viewed as a critical component in meals
Plant-based meat is gaining traction with Canadians
Usage of Plant-Based Foods/Drinks
A quarter of Canadians want to eat/drink more plant-based food/drinks
Figure 28: Statements about diets, March 2019
Figure 29: “I plan to start eating more plant-based alternatives” (% agree), March 2019
Age and income impact usage of plant-based food substitutes
Figure 30: “Trying to add more plant-based food to diet”, by age and income, March 2019
Figure 31: “Trying to add more plant-based food to diet”, by parental status, March 2019
Figure 32: “Trying to add more plant-based food to diet”, by region, March 2019
Figure 33: Diet preferences, March 2019
Figure 34: Trying to add more plant-based food substitutes into diet – by diet preference, March 2019
Canadians avoid meat for three main reasons
Figure 35: Reasons for limiting or avoiding animal products, March 2019
Figure 36: Reasons for limiting or avoiding animal products, by age and gender, March 2019
Motivations for avoiding animal products vary by diet followed
Figure 37: Reasons for limiting or avoiding animal products, by diet type, March 2019
Barriers to Using Plant-Based Alternatives
Three main barriers to using plant-based alternatives
Figure 38: Barriers to using plant-base alternatives (% agree), March 2019
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Over-processing is a concern for most Canadians
Figure 39: “Plant-based meat alternatives that mimic the taste and texture of real meat are overly-processed” (% agree), women 18-24 vs overall,
March 2019
For Canadians, plant-based foods are not just for vegetarians
Figure 40: “Plant-based foods are just for vegetarian/vegans” (% agree), by age and gender, March 2019
Attitudes toward Protein
Protein is viewed as a critical component in meals
Figure 41: Statements about protein, March 2019
Figure 42: Statements about protein, by gender, March 2019
Figure 43: Statements about protein, by age, March 2019
Figure 44: Statements about protein, by parental status, March 2019
Plants are well-positioned to meet the protein needs of Canadians
Figure 45: “Plant-based foods can provide all the protein I need” (% agree), by age, March 2019
Figure 46: Plant-based protein is healthier than animal protein (% agree), by generation, March 2019
Nuts are the most common non-meat protein Canadians use
Figure 47: Type of plant-based protein – any use or interest, March 2019
Figure 48: Type of plant-based protein, current usage vs interest, March 2019
Figure 49: Biosteel Sports Nutrition Sport Greens Acai Lemonade High Performance Superfood Powder, March 2019 (Canada)
Figure 50: Simple Truth Vanilla Flavor Plant Based Protein Powder, February 2019 (US)
Figure 51: Quorn Southern Fried Bites, November 2018 (UK)
Figure 52: Dr. Oetker Ristorante Pizza Pesto with Quorn, December 2018 (UK)
Figure 53: Type of plant-based protein – any use or interest, by age, March 2019
Figure 54: Type of plant-based protein (select) – any use or interest, 18-44s by gender, March 2019
Category-Based Opportunities
Pasta and cereal are the most common foods eaten containing plant-based protein
Figure 55: Food categories eaten with plant-based protein, March 2019
Figure 56: Food categories eaten with plant-based protein, by diet type, March 2019
Plant-based energy bars and drinks proves more popular with young men
Figure 57: Energy bars and drinks used with plant-based protein, men 18-34 vs overall, March 2019
Figure 58: KronoBar Performance Snacks Chocolate Avocado Protein Bar, April 2019 (Canada)
Figure 59: Simply Protein Bar Snacks Lemon Coconut Protein Bar, April 2019 (Canada)
Plant-based meat is gaining traction with Canadians
Figure 60: Population segments who are more likely to eat meat substitutes, March 2019
Appendix
Data sources
Consumer survey data
Consumer qualitative research
Abbreviations and terms
Abbreviations
Terms
PREVIOUS © Mintel Group Ltd. All rights reserved. NEXT PLANT-BASED FOOD & DRINK - CANADA - MAY 2019 6
DATABOOK CONTENT
Standard demographics you can expect to see tracked in our Databooks:
• Age and income
• Age
• Area
• Born in Canada
• Children in household
• Education
• Employment
• Family structure
• Financial situation
• Gender and age
• Gender and marital status
• Gender
• Generation
• Household income
• Household size
• Housing situation
• Language primarily spoken in the home
• Marital status
• Mobile device ownership
• Number of children of any age in household
• Number of children under 18 in household
• Parental status by gender
• Parental status
• Race and origin
• Race
• Region
• Sexual orientation
• Social media
• Visit social media websites daily
• Visit social media websites weekly
Consumer Research
Q1 Which of the following dietary preferences best describes you?
Q1 Which of the following dietary preferences best describes you?, by demographics
Q2 Which of the following dietary guidelines do you currently follow? Please select all that apply.
Q2 Which of the following dietary guidelines do you currently follow? Please select all that apply., by demographics
Q3 Which of the following statements about diet apply to you? Please select all that apply.
Q3 Which of the following statements about diet apply to you? Please select all that apply., by demographics
Q4 Which of the following sources of plant-based proteins do you eat, or would you be interested in trying?
Q4 Which of the following sources of plant-based proteins do you eat, or would you be interested in trying?, by demographics
Q5 Which of the following sources of plant-based proteins do you eat, or would you be interested in trying? - NET: Any use or interest
Q5 Which of the following sources of plant-based proteins do you eat, or would you be interested in trying? - NET: Any use or interest, by
demographics
Q6 What types of foods do you eat that contain plant-based proteins? Please select all that apply.
Q6 What types of foods do you eat that contain plant-based proteins? Please select all that apply., by demographics
Q7 Which of the following statements about protein do you agree with? Please select all that apply.
PREVIOUS © Mintel Group Ltd. All rights reserved. NEXT PLANT-BASED FOOD & DRINK - CANADA - MAY 2019 7 Q7 Which of the following statements about protein do you agree with? Please select all that apply., by demographics Q8 How much do you agree or disagree with the following statements? Q8 How much do you agree or disagree with the following statements?, by demographics Demographics By Demographics Demographics by demographics PREVIOUS © Mintel Group Ltd. All rights reserved. NEXT
PLANT-BASED FOOD & DRINK - CANADA - MAY 2019 8
SOCIAL MEDIA CONTENT
Based on exclusive consumer research, Mintel shows you how people use the internet to interact with the brands they buy, the leading
topics of interest and how these play out across categories. We look at opinions shared on social networking sites such as Facebook
and Twitter, via online review sites and forums, and offline. This reporting allows you to see which brands and topics generate the most
conversations online and why.
Women drive dairy alternatives Plant-based brands drive engagement
Discussions of dairy alternatives are dominated by women, who Beyond Meat, which focuses on meat alternatives with meat-like
require brands to demonstrate their ethical practices. texture and taste, has become exceedingly popular over the last
year and earned higher social engagement than its big name, meat-
Instagram dominates plant-based inspiration focused competitors.
Discussions of dairy alternatives are dominated by women, who Consumers desire plant-based fast food
require brands to demonstrate their ethical practices.
Consumers’ desires for plant-based options do not end with sit-
down restaurants; they also seek to capitalize on the convenience
of fast food chains without giving up their plant-based food and
drink.
PREVIOUS © Mintel Group Ltd. All rights reserved. NEXT PLANT-BASED FOOD & DRINK - CANADA - MAY 2019 9 RESEARCH METHODOLOGY PREVIOUS NEXT
CANADA RESEARCH METHODOLOGY 10
Canada Research Methodology
Mintel is an independent market analysis
research has been conducted using a Female, 18-24 6.9 139
company that prides itself on supplying
device agnostic platform for online surveys
objective information on a whole range of Female, 25-34 8.8 177
(ie respondents can now take surveys from
markets and marketing issues. Female, 35-44 9.4 188
a smartphone in addition to a computer or
There are six main sources of research that tablet). This methodology change may result Female, 45-54 8.7 174
are used in the compilation of Mintel reports: in data differences from previous years; any
Female, 55-64 8.6 172
trending should be done with caution.
• Consumer research Female, 65+ 8.5 170
Sampling
• Social media research Total 100 2,000
Online Surveys
• Desk research
Lightspeed
• Trade research Region % N
Founded in 1996, Lightspeed's double Ontario 40.2 804
• Statistical forecasting opt-in U.S. online consumer panel contains Quebec 22.1 443
approximately 1.27 million U.S. consumers. British Columbia 13.3 265
Mintel reports are written and managed by Lightspeed recruits its panelists through
Alberta 10.7 214
analysts with experience in the relevant many different sources including web
Saskatchewan 3.0 61
markets. advertising, permission-based databases
and partner-recruited panels. Note: Manitoba 4.8 95
Consumer research Lightspeed GMI was re-branded as Atlantic Provinces
Lightspeed in September 2016. (New Brunswick,
Newfoundland/
Exclusive and original quantitative 5.9 118
Labrador, Nova
consumer research is commissioned Mintel sets quotas on age and gender,
Scotia, Prince
for almost all Mintel reports. In addition, region, and household income. Specific Edward Island)
qualitative research is also undertaken for quotas for a sample of 2,000 adults aged
a large proportion of reports in the form of 18+ are shown below. Total* 100 2,000
online discussion groups. Mintel invests a
considerable sum each year in consumer Please note: these quotas are only *Mintel does not include rural regions such as the Yukon
research, and the purchaser of a Mintel representative of a standard General or the Northwest Territories (including Nunavut) in its
report benefits, as the price of an individual Population survey sample of 2,000 internet research. Thus the consumer research data does not
report is less than the cost of the original users aged 18+. Sample size, targets, and reflect opinions and behaviours of the population living in
research alone. The research brings an quotas may vary per report. Please see the those areas.
up-to-date and unique insight into topical Report Appendix for further details.
issues of importance. Household income % N
Age groups by Less than $25,000 14.0 281
Consumer research is conducted among a % N
gender $25,000 - $49,999 20.8 416
nationally representative sample of internet
$50,000 - $69,999 15.0 300
users in Canada and is carried out by Male, 18-24 7.9 158
$70,000 - $99,999 17.8 356
Lightspeed. The results are only available in Male, 25-34 9.1 181 $100,000 and over 32.4 647
Mintel reports. Note that Mintel’s exclusive
research is conducted online in both English Male, 35-44 10.4 207
and French. Male, 45-54 8.1 163 Total 100 2,000
Male, 55-64 6.1 123
Starting in July 2017, Mintel’s consumer Secondary Data Analysis
Male, 65+ 7.4 148
PREVIOUS © Mintel Group Ltd. All rights reserved. NEXT CANADA RESEARCH METHODOLOGY 11
In addition to exclusively commissioned This is a statistical visualisation method for TURF (Total Unduplicated Reach &
surveys, Mintel gathers syndicated data picturing the associations between rows Frequency) analysis identifies the mix
from the most respected consumer (image, attitudes) and columns (brands, of features, attributes, or messages that
research firms. This allows Mintel analysts products, segments, etc.) of a two-way will attract the largest number of unique
to form objective and cohesive analyses contingency table. It allows us to display respondents. It is typically used when the
of consumer attitudes and behaviour. brand images (and/or consumer attitudes number of features or attributes must be
Qualitative Research towards brands) related to each brand or should be limited, but the goal is still to
covered in this survey in a joint space that reach the widest possible audience. By
Revelation by FocusVision is easy to understand. The significance of identifying the Total Unduplicated Reach,
the relationship between a brand and its it is possible to maximize the number
FocusVision provides Mintel with qualitative associated image is measured using the of people who find one or more of their
bulletin board software. This allows the Chi-square test. If two brands have similar preferred features or attributes in the
creation of Internet-based, ‘virtual’ venues response patterns regarding their perceived product line. The resulting output from
where participants recruited from Mintel’s images, they are assigned similar scores TURF is additive, with each additional
online surveys gather and engage in on underlying dimensions and will then feature increasing total reach. The chart
interactive, text-based discussions led by be displayed close to each other in the is read from left to right, with each arrow
Mintel moderators. perceptual map. indicating the incremental change in total
reach when adding a new feature. The final
Further Analysis CHAID analysis bar represents the maximum reach of the
total population when all shown features are
Mintel employs numerous quantitative data CHAID (Chi-squared Automatic Interaction offered.
analysis techniques to enhance the value Detection), a type of decision tree analysis,
of our consumer research. The techniques is used to highlight key target groups in a Social Media Research
used vary form one report to another. Below sample by identifying which sub-groups
describes some of the more commonly used are more likely to show a particular To complement its exclusive consumer
techniques. characteristic. This analysis subdivides the research, Mintel tracks and analyses social
sample into a series of subgroups that share media data for inclusion in selected reports.
Repertoire Analysis similar characteristics towards a specific Using Infegy’s Atlas software, Mintel ‘listens
response variable and allows us to identify in’ on online conversations across a range
This is used to create consumer groups which combinations have the highest of social platforms including Facebook,
based on reported behaviour or attitudes. response rates for the target variable. It is Twitter, consumer forums and the wider
Consumer responses of the same value commonly used to understand and visualise web.
(or list of values) across a list of survey the relationship between a variable of
items are tallied into a single variable. interest such as “interest in trying a new Atlas provides rich consumer insight via
The repertoire variable summarises the product” and other characteristics of the the analysis of commentary posted publicly
number of occurrences in which the value sample, such as demographic composition. on the internet. The system performs
or values appear among a list of survey comprehensive and broad collection of
items. For example, a repertoire of brand Key Driver Analysis data from millions of internet sources,
purchasing might produce groups of those working to ensure a faithful and extensive
that purchase 1-2 brands, 3-4 brands and 5 Key driver analysis can be a useful tool in sampling of feedback from the widest
or more brands. Each subgroup should be helping to prioritise focus between different range of individuals. The dataset contains
large enough (ie N=75+) to analyse. factors which may impact key performance commentary posted in real time, as well as
indicators (eg satisfaction, likelihood to a substantial archive dating back through
Cluster Analysis switch providers, likelihood to recommend 2007.
a brand, etc). Using correlations analysis
This technique assigns a set of individual or regression analysis we can get an Trade research
people in to groups called clusters on the understanding of which factors or attributes
basis of one or more question responses, of a market have the strongest association Informal
so that respondents within the same cluster or “link” with a positive performance on
are in some sense closer or more similar to key performance indicators (KPIs). Hence, Trade research is undertaken for all reports.
one another than to respondents that were we are able to identify which factors or This involves contacting relevant players
grouped into a different cluster. attributes are relatively more critical in a in the trade, not only to gain information
market category compared to others and concerning their own operations, but also
Correspondence Analysis ensures that often limited resources can be to obtain explanations and views of the
allocated to focusing on the main market strategic issues pertinent to the market
drivers. being researched. Such is Mintel’s concern
with accuracy that draft copies of reports are
TURF Analysis sent to industry representatives, to get their
PREVIOUS © Mintel Group Ltd. All rights reserved. NEXT CANADA RESEARCH METHODOLOGY 12
feedback and avoid any misrepresentation as Statistics Canada and the Canadian forecast are collated in Mintel’s own market
of the market. These comments are Grocer. Other information is also gathered size database and supplemented by macro-
incorporated into reports prior to final from store and exhibition visits across and socio-economic data sourced from
publication. Canada, as well as using other databases organisations such as Statistics Canada,
within the Mintel Group, such as the Global The Bank of Canada, The Conference
Formal New Product Database (GNPD), which Board of Canada and the Economist
Internally, Mintel’s analysts undertake monitors FMCG sales promotions. Intelligence Unit.
extensive trade interviews with selected
key experts in the field for the majority of All analysts have access to Mintel’s Market Within the forecasting process, the model
reports. The purpose of these interviews Size and Macroeconomic Databases – searches for, and analyses relationships
is to assess key issues in the market a database containing many areas of between, actual market sizes and a
place in order to ensure that any research consumer spending and retail sales as well selection of key economic and demographic
undertaken takes these into account. as macroeconomic and demographic factors factors (independent variables) in order to
which impinge on consumer spending identify those predictors having the most
In addition, using experienced external patterns.. influence on the market.
researchers, trade research is undertaken
for some reports. This takes the form of The database is used in conjunction with Factors used in a forecast are stated in
full trade interview questionnaires and an SPSS forecasting program which uses the relevant report section alongside an
direct quotes are included in the report and weighted historical correlations of market interpretation of their role in explaining the
analysed by experts in the field. This gives a dynamics, with independent variables, to development in demand for the product or
valuable insight into a range of trade views produce future spending scenarios. market in question.
of topical issues.
Statistical Forecasting Qualitative insight
Desk research
Statistical modelling At Mintel we understand that historic data is
Mintel has an internal team of market limited in its capacity to act as the only force
analysts who monitor: government statistics, For the majority of reports, Mintel produces behind the future state of markets. Thus,
consumer and trade association statistics, five-year forecasts based on an advanced rich qualitative insights from industry experts
manufacturer sponsored reports, annual statistical technique known as ‘multivariate regarding past and future events that may
company reports and accounts, directories, time series auto-regression’ using the impact the market play a crucial role in our
press articles from around the world and statistical software package SPSS. post statistical modeling evaluation process.
online databases. The latter are extracted
from hundreds of publications and websites, Historical market size data feeding into each
both Canada and overseas. All information
is cross-referenced for immediate access.
Data from other published sources are the
latest available at the time of writing the
report.
This information is supplemented by
an extensive library of Mintel’s reports
produced since 1972 globally and added
to each year by the 500+ reports which are
produced annually.
In addition to in-house sources, researchers
also occasionally use outside libraries such
PREVIOUS © Mintel Group Ltd. All rights reserved. NEXT CANADA RESEARCH METHODOLOGY 13
As a result, the Mintel forecast allows for fall within these outer limits, which we call Weather analogy
additional factors or market conditions the best and worst case forecasts. These,
outside of the capacity of the data analysis based on the statistically driven forecast, To illustrate uncertainty in forecasting in
to impact the market forecast model, using are the highest (best case) and lowest an everyday example, let us assume the
a rigorous statistical process complemented (worst case) market sizes the market is following weather forecast was produced
by in-depth market knowledge and expected to achieve. based on the meteorologists’ current
expertise. knowledge of the previous weather condition
Over the next five years, the widening during the last few days, atmospheric
The Mintel fan chart bands successively show the developments observations, incoming weather fronts etc.
that occur within 95%, 90%, 70% and 50%
Forecasts of future economic outcomes probability intervals. Statistical processes Now, how accurate is this forecast and how
are always subject to uncertainty. In order predict the central forecast to fall within the certain can we be that the temperature on
to raise awareness amongst our clients darker shaded area which illustrates 50% Saturday will indeed be 15°C?
and to illustrate this uncertainty, Mintel has probability, i.e. a 5 in 10 chance.
introduced a new way of displaying market To state that the temperature in central
size forecasts in the form of a fan-chart. A general conclusion: Based on our current London on Saturday will rise to exactly 15°C
knowledge of given historic market size data is possible but one can’t be 100% certain
Next to historical market sizes and a current as well as projections for key macro- and about that fact.
year estimate, the fan chart illustrates the socio-economic measures that were used to
probability of various outcomes for the create the forecast, we can assume that in To say the temperature on Saturday will
market value/volume over the next five 95% of the time the actual market size will be between 13°C and 17°C is a broader
years. fall within the purple shaded fan. In 5% of all statement and much more probable.
cases this model might not be correct due
At a 95% confidence interval, we are saying to random errors and the actual market size In general, we can say that based on the
that 95 out of 100 times the forecast will will fall out of these boundaries. existing statistical model, one can be 95%
certain that the temperature on Saturday
will be between 13°C and 17°C, and
respectively 50% certain it will be between
about 14.5°C and 15.5°C. Again, only in
5% of all cases this model might not be
correct due to random errors and the actual
temperature on Saturday will fall out of
these boundaries and thus will be below
13°C or above 17°C.
(To learn more about uncertainty in weather
forecasts visit: http://research.metoffice.gov.
uk/research/nwp/ensemble/uncertainty.html)
PREVIOUS © Mintel Group Ltd. All rights reserved. NEXT Disclaimer Terms and Conditions of use Any use and/or copying of this document is subject to Mintel‘s standard terms and conditions, which are available at http://www.mintel.com/legal If you have any questions regarding usage of this document please contact your account manager or call your local helpdesk. Published by Mintel Group Ltd www.mintel.com email: info@mintel.com Help desk UK +44 (0)20 7778 7155 US +1 (312) 932 0600 Australia +61 (0)2 8284 8100 Japan +81 (3) 5456 5605 China +86 (21) 6386 6609 Singapore +65 (0) 6653 3600 © 2019 Mintel Group Ltd. All rights reserved. Confidential to Mintel. PREVIOUS
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