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DEFINITIONS
 COVID-19 / CORONAVIRUS
An infectious disease triggered by an intense acute respiratory sickness. COVID-19 was first identified at the end of
2019 in Wuhan, China, and spread worldwide, becoming known as the coronavirus pandemic.
 B2C E-COMMERCE
the sale of products (and services) through electronic transactions via the Internet from businesses to consumers
(B2C). A broader definition of retail E-Commerce applied by some sources also includes consumer-to-consumer
(C2C) sales.
 E-COMMERCE SALES
the total sales generated either on the E-Commerce market in a certain country or region, or the total sales
generated through E-Commerce by a player on the market.
 INTERNET USERS the total number of inhabitants in a certain country that regularly accesses the Internet.
 ONLINE SHOPPERS the total number of inhabitants in a certain country or region that participates in B2C E-Commerce.
 ONLINE TRAVEL
the sale of goods (and services) directly to consumers in other countries, with orders delivered from the country
where the foreign shop is based or from a central logistics facility, i.e. across the country’s borders.
 ONLINE PAYMENT
Transfer of money made over the Internet following a consumer’s payment command, includes payments for
product and service purchased in B2C E-Commerce and M-Commerce.
 CONTACTLESS PAYMENT
Near Field Communication is a set of standards to create radio communication by bringing devices close together
or having them touch each other. In that way, contactless data exchange and contactless payment transactions
using an NFC-enabled smartphone or other mobile device can take place. Similarly, contactless payments can be
made by credit and debit cards enabled with the contactless technology.
 E-WALLET/DIGITAL WALLET
A prepaid digital account, allowing users to store money and use it in online or mobile transactions. The examples
of E-Wallets or digital wallets include Alipay and PayPal.
 ONLINE TRAVEL SALES
the sales of leisure and unmanaged business travel services (e.g. transportation tickets, accommodation, holiday
tours) transacted online; usually refers to gross online travel bookings.
The following expressions and definitions are used in this market report*:
Note: *the definitions used by the original sources might differ from the ones stated on this chart; the exact definition used by each source, where available, is included on the respective
charts
5
GENERAL METHODOLOGY OF MARKET REPORTS
Secondary Market Research
 The reports are compiled based on secondary market research. Secondary research is information gathered from previously published sources. Our reports are
based on information and data acquired from national and international statistical offices, industry and trade associations, business reports, business and
company databases, journals, company registries, news portals and many other reliable sources. By using various sources we ensure maximum objectivity for
reported data. As a result, companies gain a precise and unbiased impression of the market situation.
 Cross referencing of data is conducted in order to ensure validity and reliability.
 The source of information and its release date are provided on every chart. It is possible that the information contained in one chart is derived from several
sources. If this is the case, all sources are mentioned on the chart.
 The reports include mainly data from the last 12 months prior to the date of report publication. Exact publication dates are mentioned in every chart.
Definitions
 The reports take into account a broad definition of B2C E-Commerce, which might include mobile commerce. As definitions may vary among sources, exact
definition used by the source (if available) is included at the bottom of the chart.
Chart Types
 Our reports include text charts, pie charts, bar charts, rankings, line graphs and tables. Every chart contains an Action Title, which summarizes the main
idea/finding of the chart and a Subtitle, which provides necessary information about the country, the topic, units or measures of currency, and the applicable time
period(s) to which the data refers. With respect to rankings, it is possible that the summation of all categories amounts to more than 100%. In this case, multiple
answers were possible, which is noted at the bottom of the chart.
Report Structure
 Reports are comprised of the following elements, in the following order: Cover page, preface, legal notice, methodology, definitions, table of contents,
management summary (summarizing main information contained in each section of report) and report content (divided into sections and chapters). When
available, we also include forecasts in our report content. These forecasts are not our own; they are published by reliable sources. Within Global and Regional
reports, we include all major developed and emerging markets, ranked in order of importance by using evaluative criteria such as sales figures.
Notes and Currency Values
 If available, additional information about the data collection, for example the time of survey and number of people surveyed, is provided in the form of a note. In
some cases, the note (also) contains additional information needed to fully understand the contents of the respective data.
 When providing information about amounts of money, local currencies are most often used. When referencing currency values in the Action Title, the EUR
values are also provided in brackets. The conversions are made using the average currency exchange rate for the respective time period. Should the currency
figure be in the future, the average exchange rate of the past 12 months is used.
6
METHODOLOGY OF THE CURRENT REPORT
Report Coverage
 The report covers the impact of the coronavirus (COVID-19) pandemic on B2C E-Commerce and online payments worldwide. The report focuses on the present
effect and future implications and trends.
 All major global regions were covered in this report, with data availability ranging by region and country.
Report Structure
 A global chapter opens the report summarizing the effects of COVID-19 on global B2C E-Commerce, online payments, and selected digital verticals - online
travel and online food delivery. The two verticals were selected to exemplify the negative and positive implications for the respective industries.
 The rest of the report is divided by regions. The regions are presented in the descending order of B2C E-Commerce sales. In each region, regional information
is included first, followed by country chapters, where available.
 Depending on data availability, the following types of information were included: data concerning the increase or decrease in online sales and orders (total or for
selected product categories, such as FMCG); consumer surveys indicating a shift in consumer shopping behavior due to the outbreak of COVID-19 or its
consequences such as lockdowns and quarantine regimes; retailer and E-Commerce merchant surveys concerning the impact of the coronavirus on their
businesses.
7
TABLE OF CONTENTS (1 OF 4)
1. Management Summary
2. Global Developments
• COVID-19 Impact on B2C E-Commerce, March 2020
• COVID-19 Impact on Online Payment, March 2020
• COVID-19 Impact on Online Travel, March 2020
• COVID-19 Impact on Online Food Delivery, March 2020
• Breakdown of Perceived Changes in Frequency of Buying Products Online That Were Normally Bought In-Store, in % of Internet Users,
March 2020 vs. February 2020
• Year-on-Year Change in Weekly E-Commerce Sales of FMCG, By Selected Countries, in %, End of February/ Early March 2020
• Shopping Activities Done More Often Than Usual Since the Coronavirus Outbreak, in % of Consumers in Canada, the UK, and the USA,
March 2020
• Expected Change in Shopping Behavior Due to Coronavirus Outbreak According to Consumers in Canada, the UK, and the USA , in % of
Consumers, March 2020
3. Asia-Pacific
3.1. Regional
• Average Increase in Mobile Spending on Selected Products and Services, by 1st Week of Containment and 1st Week of a Lockdown
Following the Outbreak of COVID-19, 2020
• Expected Changes in Demand for Food Delivery After the Coronavirus Outbreak, in % of Consumers, By Selected Countries and
Territories, March 2020
3.2. China
• Year-on-Year Change in E-Commerce Sales and Total Retail Sales, January/February 2019 – January/February 2020
• Year-on-Year Change in E-Commerce Sales of Food, Necessities and Clothing, January/ February 2019 – January/February 2020
• E-Commerce Share of Total Retail Sales of Goods, in %, Jan/Feb 2019 – Jan/Feb 2020
• Change in Consumption of Internet Users in Selected Industries, by Perceived Change During Coronavirus Outbreak and Expected Change
1 and 3 Months After, in % Compared to 2019, February 2020
• Share of Consumers Who Said They Would Be More Willing to Buy Daily Necessities and Fresh Products Online After The Pandemic, in %,
February 2020
• Growth in Usage of Selected Online Medical Platforms, in %, December 2019 – January 2020
8
TABLE OF CONTENTS (2 OF 4)
3. Asia-Pacific (Cont.)
3.3. South Korea
• Total E-Commerce Sales and E-Commerce Sales of Selected Categories, in KRW billion, and Year-on-Year and Month-on-Month Change,
in %, January 2020
3.4. India
• Top Three Digital Payment Channels by Year-on-Year Growth During Coronavirus Outbreak, in %, February/March 2020
3.5. Thailand
• Online Food Delivery Sales Projection, by Pre-Pandemic (2019 Forecast) and Post-Pandemic (2020 Forecast), March 2020
• Share of Food Delivery App Users Who Use These Services Due To Fear of COVID-19, in %, by Generation, March 2020
4. Europe
4.1. Regional
• Current Effects of Coronavirus Pandemic on E-Commerce Businesses According to E-Commerce Associations and Industry Participants,
March 2020
• Growth in Traffic to Education Information and Family & Youth Education Websites and Apps During the Lockdown, by Germany, France,
Italy, Spain and the UK, in %, March 16-22 Compared to December 30, 2019 – January 5, 2020
4.2. UK
• Breakdown of Perceived Change in Online Shopping for Selected Categories Due to COVID-19, in % of Adults, March 11 and March 25,
2020
• Consumer Expectations Regarding Their Shopping Behavior After COVID-19 Is Over, in %, March 2020
• Expected B2C E-Commerce Share of Retail Sales During Peak COVID-19 Pandemic Period, in %, Compared to Normal, March 2020
4.3. Germany
• Share of E-Commerce Merchants Who Have Felt the Impact of COVID-19, in %, March 2020
• Current Effects of COVID-19 on E-Commerce Merchants, in % of E-Commerce Merchants Who Felt The Impact of COVID-19, March 2020
• Expected Effects of COVID-19 on E-Commerce Merchants, in % of E-Commerce Merchants, March 2020
9
TABLE OF CONTENTS (3 OF 4)
4. Europe (Cont.)
4.4. France
• Share of E-Commerce Websites in France Remaining Open Amidst Coronavirus Outbreak, in %, March 2020
• Share of E-Commerce Websites With Increased or Decreased Sales Due to COVID-19, in %, March 2020
• Share of E-Commerce Websites Reporting Delivery Delays Due to COVID-19, in %, March 2020
• Year-on-Year Change in Weekly Sales of FMCG, by Selected Channels, in %, February 24 - March 1, March 2 – 8, March 9 – 15 (Before
Confinement Due To COVID-19), 2020
4.5. Italy
• Year-on-Year Change in FMCG Sales, by E-Commerce & Offline, Week 1 – Week 12 of 2020
• Consumer Expectations Concerning Spending on Selected Categories One Month Following the Coronavirus Lockdown, in % of
Consumers, March 2020
4.6. Russia
• Year-on-Year Change in Weekly E-Commerce Volume Sales of FMCG, by Categories of FMCG, in %, Calendar Weeks 6-11 in 2020
5. North America
5.1. USA
• Changes in Shopping Behavior Due to Coronavirus, By Shopping Actions, in % of Consumers, March 2020
• Breakdown of Expected Effect of The Coronavirus on E-Commerce Businesses, in % of E-Commerce Retailers, March 2020
• Top Expectations and Actions Taken by E-Commerce Retailers Due to Coronavirus, in % of E-Commerce Retailers, March 2020
• Expected Change in Preference for Food Services Due to COVID-19 Outbreak, in % of Consumers, Week Ending March 6 & Week Ending
March 13, 2020
• Breakdown of Changes in Online Food Shopping Behaviors Due to Coronavirus Pandemic, in % of Grocery Shoppers, March 2020
• Change in Number of Downloads of Selected Grocery Delivery Apps, in %, Mid-March 2020 Compared to February 2020
• Year-on-Year Change in Average Weekly Web Traffic to Grocery Delivery & Food Delivery Websites, in %, Q1 2020
• Year-on-Year Change in Average Weekly Web Traffic to Travel Websites, by Online Travel, Hotels & Accommodation Services, and
Airlines, in %, Q1 2020
• Perceived Importance of the Contactless Feature in Credit Cards, in % of Consumers, by Pre COVID-19 and on March 3, 2020
10
TABLE OF CONTENTS (4 OF 4)
6. Latin America
6.1. Brazil
• Year-on-Year Change in Number and Value of E-Commerce Purchases, by Selected Categories, in %, February/March 2020
• Year-on-Year Change in E-Commerce Sales of Selected Health & Hygiene Product Categories, in %, February & March 2020
7. Middle East and Africa
7.1. Regional
• Share of Internet Users Who Have Food or Groceries Delivered to Their Homes More Frequently Due to COVID-19 Outbreak, by Selected
Countries in MENA, March 2020
1. Management Summary 11 – 14
2. Global Developments 15 – 23
3.
3.1.
3.2.
3.3.
3.4.
3.5.
Asia-Pacific
Regional
China
South Korea
India
Thailand
24 – 36
25 – 26
27 – 32
33 – 33
34 – 34
35 – 36
4.
4.1.
4.2.
4.3.
4.4.
4.5.
4.6.
Europe
Regional
UK
Germany
France
Italy
Russia
37 – 52
38 – 39
40 – 42
43 – 45
46 – 49
50 – 51
52 – 52
5.
5.1.
North America
USA
53 – 62
54 – 62
6.
6.1.
Latin America
Brazil
63 – 65
64 – 65
7.
7.1.
Middle East & Africa
Regional
66 – 67
67 – 67
11
12
12%
16%
16%
18%
18%
18%
23%
27%
31%
50%
55%
57%
15%
7%
6%
10%
5%
6%
12%
19%
12%
25%
25%
21%
38%
45%
51%
38%
57%
49%
42%
40%
44%
19%
14%
14%
35%
32%
28%
35%
20%
27%
23%
14%
13%
6%
7%
9%
0% 20% 40% 60% 80% 100%
Germany
Canada
France
Australia
Japan
UK
USA
Russia
Italy
China
India
Vietnam
More frequently Less frequently No change I rarely or never do this activity
in % of Internet Users
Over 50% of Internet users in Vietnam and India used E-Comm. more
frequently in March 2020 to buy goods they would normally get in-store.
Global: Breakdown of Perceived Changes in Frequency of Buying Products Online That Were Normally
Bought In-Store, in % of Internet Users, March 2020 vs. February 2020
Note: may not add up to 100% due to rounding
Survey: based on a survey of 10,000 Internet users (approx. 1,000 from each country) aged 18-74 in Canada and the US and 16-74 in Australia, China, France, Germany, Italy,
India, Japan, Russia, Vietnam and the UK, conducted from March 12th
to 14th
, 2020; question asked: “What about each of the following, would you say are doing each of
the following more frequently or less frequently compared to one month ago? - Using e-commerce to purchase products you would normally buy in-store”
Source: Ipsos, March 2020
13
20.2%
24.6%
26.7% 28.5% 29.3% 29.9% 30.6%
28.9%
34.8%
29.6%
30.9%
26.4%
15.6%
19.1%
23.7%
21.2% 21.4% 20.4% 19.7% 18.6%
7.1%
16.5% 15.4%
-18.1%
-20%
0%
20%
40%
Jan/Feb
2019
Mar 2019 Apr 2019 May 2019 Jun 2019 Jul 2019 Aug 2019 Sep 2019 Oct 2019 Nov 2019 Dec 2019 Jan/Feb
2020
Food Clothing
E-Commerce sales of food in China increased by +26% in Jan/Feb 2020,
while online clothing sales fell by -18.1%.
China: Year-on-Year Change in E-Commerce Sales of Food and Clothing, January/ February 2019 –
January/February 2020
Note: the data from January to February of each year are released together in order to eliminate the influence of the uncertain factors of the Spring Festival date and improve
comparability
Definition: total retail sales and online retail sales include sales of physical consumer goods only
Source: National Bureau of Statistics, March 2020
in%Year-on-YearChange
14
E-Commerce sites with
decreased sales
76%
E-Commerce sites with
increased sales
18%
Others
6%
Coronavirus had a negative impact on sales of 76% of France’s
E-Commerce sites, while 18% were affected positively in March 2020.
France: Share of E-Commerce Websites With Increased or Decreased Sales Due to COVID-19, in %,
March 2020
Note: *according to the source, one in two E-Commerce websites stated the decrease was by more than 50%; **the sectors with the higher increase were food, computers and
cultural/educational products
Survey: based on a survey of stakeholders (B2C, B2B, and C2C) of 136 E-Commerce sites, conducted between 23 and 25 March 2020
Source: Fevad, March 2020
15
10.3%
11.5%
19.6%
0% 5% 10% 15% 20% 25%
Digital Wallets
Net Banking
UPI
Year-on-Year Growth
The fastest growing digital payment channels in India amidst the
COVID-19 outbreak in Feb/Mar 2020 were UPI, Net Banking and Wallets.
India: Top Three Digital Payment Channels by Year-on-Year Growth During Coronavirus Outbreak, in %,
February/March 2020
Note: based on the data on transactions processed by Razorpay
Source: Razorpay cited by the Economic Times, March 2020
Note: may not add up to 100% due to rounding
Survey: based on a survey of 3,187 consumers
Source: Pi-360, The Futurist Group, March 2020
41%
30%
29%
33%
38%
28%
0% 20% 40% 60% 80% 100%
I Don't Need This
Basic, I Need
This
I Love This
March 3, 2020
Pre COVID-19
16
The share of U.S. consumers seeing contactless as a basic and needed
credit card feature increased from 30% pre COVID-19 to 38% in 2020.
USA: Perceived Importance of the Contactless Feature in Credit Cards, in % of Consumers, by Pre
COVID-19 and on March 3, 2020
in % of Consumers
17

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Sample Report: COVID-19 Impact on Global E-Commerce and Online Payments: April 2020 by yStats.com

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  • 4. 4 DEFINITIONS  COVID-19 / CORONAVIRUS An infectious disease triggered by an intense acute respiratory sickness. COVID-19 was first identified at the end of 2019 in Wuhan, China, and spread worldwide, becoming known as the coronavirus pandemic.  B2C E-COMMERCE the sale of products (and services) through electronic transactions via the Internet from businesses to consumers (B2C). A broader definition of retail E-Commerce applied by some sources also includes consumer-to-consumer (C2C) sales.  E-COMMERCE SALES the total sales generated either on the E-Commerce market in a certain country or region, or the total sales generated through E-Commerce by a player on the market.  INTERNET USERS the total number of inhabitants in a certain country that regularly accesses the Internet.  ONLINE SHOPPERS the total number of inhabitants in a certain country or region that participates in B2C E-Commerce.  ONLINE TRAVEL the sale of goods (and services) directly to consumers in other countries, with orders delivered from the country where the foreign shop is based or from a central logistics facility, i.e. across the country’s borders.  ONLINE PAYMENT Transfer of money made over the Internet following a consumer’s payment command, includes payments for product and service purchased in B2C E-Commerce and M-Commerce.  CONTACTLESS PAYMENT Near Field Communication is a set of standards to create radio communication by bringing devices close together or having them touch each other. In that way, contactless data exchange and contactless payment transactions using an NFC-enabled smartphone or other mobile device can take place. Similarly, contactless payments can be made by credit and debit cards enabled with the contactless technology.  E-WALLET/DIGITAL WALLET A prepaid digital account, allowing users to store money and use it in online or mobile transactions. The examples of E-Wallets or digital wallets include Alipay and PayPal.  ONLINE TRAVEL SALES the sales of leisure and unmanaged business travel services (e.g. transportation tickets, accommodation, holiday tours) transacted online; usually refers to gross online travel bookings. The following expressions and definitions are used in this market report*: Note: *the definitions used by the original sources might differ from the ones stated on this chart; the exact definition used by each source, where available, is included on the respective charts
  • 5. 5 GENERAL METHODOLOGY OF MARKET REPORTS Secondary Market Research  The reports are compiled based on secondary market research. Secondary research is information gathered from previously published sources. Our reports are based on information and data acquired from national and international statistical offices, industry and trade associations, business reports, business and company databases, journals, company registries, news portals and many other reliable sources. By using various sources we ensure maximum objectivity for reported data. As a result, companies gain a precise and unbiased impression of the market situation.  Cross referencing of data is conducted in order to ensure validity and reliability.  The source of information and its release date are provided on every chart. It is possible that the information contained in one chart is derived from several sources. If this is the case, all sources are mentioned on the chart.  The reports include mainly data from the last 12 months prior to the date of report publication. Exact publication dates are mentioned in every chart. Definitions  The reports take into account a broad definition of B2C E-Commerce, which might include mobile commerce. As definitions may vary among sources, exact definition used by the source (if available) is included at the bottom of the chart. Chart Types  Our reports include text charts, pie charts, bar charts, rankings, line graphs and tables. Every chart contains an Action Title, which summarizes the main idea/finding of the chart and a Subtitle, which provides necessary information about the country, the topic, units or measures of currency, and the applicable time period(s) to which the data refers. With respect to rankings, it is possible that the summation of all categories amounts to more than 100%. In this case, multiple answers were possible, which is noted at the bottom of the chart. Report Structure  Reports are comprised of the following elements, in the following order: Cover page, preface, legal notice, methodology, definitions, table of contents, management summary (summarizing main information contained in each section of report) and report content (divided into sections and chapters). When available, we also include forecasts in our report content. These forecasts are not our own; they are published by reliable sources. Within Global and Regional reports, we include all major developed and emerging markets, ranked in order of importance by using evaluative criteria such as sales figures. Notes and Currency Values  If available, additional information about the data collection, for example the time of survey and number of people surveyed, is provided in the form of a note. In some cases, the note (also) contains additional information needed to fully understand the contents of the respective data.  When providing information about amounts of money, local currencies are most often used. When referencing currency values in the Action Title, the EUR values are also provided in brackets. The conversions are made using the average currency exchange rate for the respective time period. Should the currency figure be in the future, the average exchange rate of the past 12 months is used.
  • 6. 6 METHODOLOGY OF THE CURRENT REPORT Report Coverage  The report covers the impact of the coronavirus (COVID-19) pandemic on B2C E-Commerce and online payments worldwide. The report focuses on the present effect and future implications and trends.  All major global regions were covered in this report, with data availability ranging by region and country. Report Structure  A global chapter opens the report summarizing the effects of COVID-19 on global B2C E-Commerce, online payments, and selected digital verticals - online travel and online food delivery. The two verticals were selected to exemplify the negative and positive implications for the respective industries.  The rest of the report is divided by regions. The regions are presented in the descending order of B2C E-Commerce sales. In each region, regional information is included first, followed by country chapters, where available.  Depending on data availability, the following types of information were included: data concerning the increase or decrease in online sales and orders (total or for selected product categories, such as FMCG); consumer surveys indicating a shift in consumer shopping behavior due to the outbreak of COVID-19 or its consequences such as lockdowns and quarantine regimes; retailer and E-Commerce merchant surveys concerning the impact of the coronavirus on their businesses.
  • 7. 7 TABLE OF CONTENTS (1 OF 4) 1. Management Summary 2. Global Developments • COVID-19 Impact on B2C E-Commerce, March 2020 • COVID-19 Impact on Online Payment, March 2020 • COVID-19 Impact on Online Travel, March 2020 • COVID-19 Impact on Online Food Delivery, March 2020 • Breakdown of Perceived Changes in Frequency of Buying Products Online That Were Normally Bought In-Store, in % of Internet Users, March 2020 vs. February 2020 • Year-on-Year Change in Weekly E-Commerce Sales of FMCG, By Selected Countries, in %, End of February/ Early March 2020 • Shopping Activities Done More Often Than Usual Since the Coronavirus Outbreak, in % of Consumers in Canada, the UK, and the USA, March 2020 • Expected Change in Shopping Behavior Due to Coronavirus Outbreak According to Consumers in Canada, the UK, and the USA , in % of Consumers, March 2020 3. Asia-Pacific 3.1. Regional • Average Increase in Mobile Spending on Selected Products and Services, by 1st Week of Containment and 1st Week of a Lockdown Following the Outbreak of COVID-19, 2020 • Expected Changes in Demand for Food Delivery After the Coronavirus Outbreak, in % of Consumers, By Selected Countries and Territories, March 2020 3.2. China • Year-on-Year Change in E-Commerce Sales and Total Retail Sales, January/February 2019 – January/February 2020 • Year-on-Year Change in E-Commerce Sales of Food, Necessities and Clothing, January/ February 2019 – January/February 2020 • E-Commerce Share of Total Retail Sales of Goods, in %, Jan/Feb 2019 – Jan/Feb 2020 • Change in Consumption of Internet Users in Selected Industries, by Perceived Change During Coronavirus Outbreak and Expected Change 1 and 3 Months After, in % Compared to 2019, February 2020 • Share of Consumers Who Said They Would Be More Willing to Buy Daily Necessities and Fresh Products Online After The Pandemic, in %, February 2020 • Growth in Usage of Selected Online Medical Platforms, in %, December 2019 – January 2020
  • 8. 8 TABLE OF CONTENTS (2 OF 4) 3. Asia-Pacific (Cont.) 3.3. South Korea • Total E-Commerce Sales and E-Commerce Sales of Selected Categories, in KRW billion, and Year-on-Year and Month-on-Month Change, in %, January 2020 3.4. India • Top Three Digital Payment Channels by Year-on-Year Growth During Coronavirus Outbreak, in %, February/March 2020 3.5. Thailand • Online Food Delivery Sales Projection, by Pre-Pandemic (2019 Forecast) and Post-Pandemic (2020 Forecast), March 2020 • Share of Food Delivery App Users Who Use These Services Due To Fear of COVID-19, in %, by Generation, March 2020 4. Europe 4.1. Regional • Current Effects of Coronavirus Pandemic on E-Commerce Businesses According to E-Commerce Associations and Industry Participants, March 2020 • Growth in Traffic to Education Information and Family & Youth Education Websites and Apps During the Lockdown, by Germany, France, Italy, Spain and the UK, in %, March 16-22 Compared to December 30, 2019 – January 5, 2020 4.2. UK • Breakdown of Perceived Change in Online Shopping for Selected Categories Due to COVID-19, in % of Adults, March 11 and March 25, 2020 • Consumer Expectations Regarding Their Shopping Behavior After COVID-19 Is Over, in %, March 2020 • Expected B2C E-Commerce Share of Retail Sales During Peak COVID-19 Pandemic Period, in %, Compared to Normal, March 2020 4.3. Germany • Share of E-Commerce Merchants Who Have Felt the Impact of COVID-19, in %, March 2020 • Current Effects of COVID-19 on E-Commerce Merchants, in % of E-Commerce Merchants Who Felt The Impact of COVID-19, March 2020 • Expected Effects of COVID-19 on E-Commerce Merchants, in % of E-Commerce Merchants, March 2020
  • 9. 9 TABLE OF CONTENTS (3 OF 4) 4. Europe (Cont.) 4.4. France • Share of E-Commerce Websites in France Remaining Open Amidst Coronavirus Outbreak, in %, March 2020 • Share of E-Commerce Websites With Increased or Decreased Sales Due to COVID-19, in %, March 2020 • Share of E-Commerce Websites Reporting Delivery Delays Due to COVID-19, in %, March 2020 • Year-on-Year Change in Weekly Sales of FMCG, by Selected Channels, in %, February 24 - March 1, March 2 – 8, March 9 – 15 (Before Confinement Due To COVID-19), 2020 4.5. Italy • Year-on-Year Change in FMCG Sales, by E-Commerce & Offline, Week 1 – Week 12 of 2020 • Consumer Expectations Concerning Spending on Selected Categories One Month Following the Coronavirus Lockdown, in % of Consumers, March 2020 4.6. Russia • Year-on-Year Change in Weekly E-Commerce Volume Sales of FMCG, by Categories of FMCG, in %, Calendar Weeks 6-11 in 2020 5. North America 5.1. USA • Changes in Shopping Behavior Due to Coronavirus, By Shopping Actions, in % of Consumers, March 2020 • Breakdown of Expected Effect of The Coronavirus on E-Commerce Businesses, in % of E-Commerce Retailers, March 2020 • Top Expectations and Actions Taken by E-Commerce Retailers Due to Coronavirus, in % of E-Commerce Retailers, March 2020 • Expected Change in Preference for Food Services Due to COVID-19 Outbreak, in % of Consumers, Week Ending March 6 & Week Ending March 13, 2020 • Breakdown of Changes in Online Food Shopping Behaviors Due to Coronavirus Pandemic, in % of Grocery Shoppers, March 2020 • Change in Number of Downloads of Selected Grocery Delivery Apps, in %, Mid-March 2020 Compared to February 2020 • Year-on-Year Change in Average Weekly Web Traffic to Grocery Delivery & Food Delivery Websites, in %, Q1 2020 • Year-on-Year Change in Average Weekly Web Traffic to Travel Websites, by Online Travel, Hotels & Accommodation Services, and Airlines, in %, Q1 2020 • Perceived Importance of the Contactless Feature in Credit Cards, in % of Consumers, by Pre COVID-19 and on March 3, 2020
  • 10. 10 TABLE OF CONTENTS (4 OF 4) 6. Latin America 6.1. Brazil • Year-on-Year Change in Number and Value of E-Commerce Purchases, by Selected Categories, in %, February/March 2020 • Year-on-Year Change in E-Commerce Sales of Selected Health & Hygiene Product Categories, in %, February & March 2020 7. Middle East and Africa 7.1. Regional • Share of Internet Users Who Have Food or Groceries Delivered to Their Homes More Frequently Due to COVID-19 Outbreak, by Selected Countries in MENA, March 2020
  • 11. 1. Management Summary 11 – 14 2. Global Developments 15 – 23 3. 3.1. 3.2. 3.3. 3.4. 3.5. Asia-Pacific Regional China South Korea India Thailand 24 – 36 25 – 26 27 – 32 33 – 33 34 – 34 35 – 36 4. 4.1. 4.2. 4.3. 4.4. 4.5. 4.6. Europe Regional UK Germany France Italy Russia 37 – 52 38 – 39 40 – 42 43 – 45 46 – 49 50 – 51 52 – 52 5. 5.1. North America USA 53 – 62 54 – 62 6. 6.1. Latin America Brazil 63 – 65 64 – 65 7. 7.1. Middle East & Africa Regional 66 – 67 67 – 67 11
  • 12. 12 12% 16% 16% 18% 18% 18% 23% 27% 31% 50% 55% 57% 15% 7% 6% 10% 5% 6% 12% 19% 12% 25% 25% 21% 38% 45% 51% 38% 57% 49% 42% 40% 44% 19% 14% 14% 35% 32% 28% 35% 20% 27% 23% 14% 13% 6% 7% 9% 0% 20% 40% 60% 80% 100% Germany Canada France Australia Japan UK USA Russia Italy China India Vietnam More frequently Less frequently No change I rarely or never do this activity in % of Internet Users Over 50% of Internet users in Vietnam and India used E-Comm. more frequently in March 2020 to buy goods they would normally get in-store. Global: Breakdown of Perceived Changes in Frequency of Buying Products Online That Were Normally Bought In-Store, in % of Internet Users, March 2020 vs. February 2020 Note: may not add up to 100% due to rounding Survey: based on a survey of 10,000 Internet users (approx. 1,000 from each country) aged 18-74 in Canada and the US and 16-74 in Australia, China, France, Germany, Italy, India, Japan, Russia, Vietnam and the UK, conducted from March 12th to 14th , 2020; question asked: “What about each of the following, would you say are doing each of the following more frequently or less frequently compared to one month ago? - Using e-commerce to purchase products you would normally buy in-store” Source: Ipsos, March 2020
  • 13. 13 20.2% 24.6% 26.7% 28.5% 29.3% 29.9% 30.6% 28.9% 34.8% 29.6% 30.9% 26.4% 15.6% 19.1% 23.7% 21.2% 21.4% 20.4% 19.7% 18.6% 7.1% 16.5% 15.4% -18.1% -20% 0% 20% 40% Jan/Feb 2019 Mar 2019 Apr 2019 May 2019 Jun 2019 Jul 2019 Aug 2019 Sep 2019 Oct 2019 Nov 2019 Dec 2019 Jan/Feb 2020 Food Clothing E-Commerce sales of food in China increased by +26% in Jan/Feb 2020, while online clothing sales fell by -18.1%. China: Year-on-Year Change in E-Commerce Sales of Food and Clothing, January/ February 2019 – January/February 2020 Note: the data from January to February of each year are released together in order to eliminate the influence of the uncertain factors of the Spring Festival date and improve comparability Definition: total retail sales and online retail sales include sales of physical consumer goods only Source: National Bureau of Statistics, March 2020 in%Year-on-YearChange
  • 14. 14 E-Commerce sites with decreased sales 76% E-Commerce sites with increased sales 18% Others 6% Coronavirus had a negative impact on sales of 76% of France’s E-Commerce sites, while 18% were affected positively in March 2020. France: Share of E-Commerce Websites With Increased or Decreased Sales Due to COVID-19, in %, March 2020 Note: *according to the source, one in two E-Commerce websites stated the decrease was by more than 50%; **the sectors with the higher increase were food, computers and cultural/educational products Survey: based on a survey of stakeholders (B2C, B2B, and C2C) of 136 E-Commerce sites, conducted between 23 and 25 March 2020 Source: Fevad, March 2020
  • 15. 15 10.3% 11.5% 19.6% 0% 5% 10% 15% 20% 25% Digital Wallets Net Banking UPI Year-on-Year Growth The fastest growing digital payment channels in India amidst the COVID-19 outbreak in Feb/Mar 2020 were UPI, Net Banking and Wallets. India: Top Three Digital Payment Channels by Year-on-Year Growth During Coronavirus Outbreak, in %, February/March 2020 Note: based on the data on transactions processed by Razorpay Source: Razorpay cited by the Economic Times, March 2020
  • 16. Note: may not add up to 100% due to rounding Survey: based on a survey of 3,187 consumers Source: Pi-360, The Futurist Group, March 2020 41% 30% 29% 33% 38% 28% 0% 20% 40% 60% 80% 100% I Don't Need This Basic, I Need This I Love This March 3, 2020 Pre COVID-19 16 The share of U.S. consumers seeing contactless as a basic and needed credit card feature increased from 30% pre COVID-19 to 38% in 2020. USA: Perceived Importance of the Contactless Feature in Credit Cards, in % of Consumers, by Pre COVID-19 and on March 3, 2020 in % of Consumers
  • 17. 17