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Retail Mcommerce Sales Penetration, by Country

% of total retail ecommerce sales
Timeframe20232024202520262027
Asia-PacificMaximum of two rows can be charted.
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– AustraliaMaximum of two rows can be charted.
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– ChinaMaximum of two rows can be charted.
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– Hong KongMaximum of two rows can be charted.
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– IndiaMaximum of two rows can be charted.
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– JapanMaximum of two rows can be charted.
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– New ZealandMaximum of two rows can be charted.
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– South KoreaMaximum of two rows can be charted.
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– TaiwanMaximum of two rows can be charted.
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– Other Asia-Pacific (1)Maximum of two rows can be charted.
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– Southeast AsiaMaximum of two rows can be charted.
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— IndonesiaMaximum of two rows can be charted.
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— MalaysiaMaximum of two rows can be charted.
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— PhilippinesMaximum of two rows can be charted.
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— SingaporeMaximum of two rows can be charted.
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— ThailandMaximum of two rows can be charted.
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— VietnamMaximum of two rows can be charted.
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Central & Eastern EuropeMaximum of two rows can be charted.
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– RussiaMaximum of two rows can be charted.
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– Other Central & Eastern Europe (2)Maximum of two rows can be charted.
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Latin AmericaMaximum of two rows can be charted.
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– ArgentinaMaximum of two rows can be charted.
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– BrazilMaximum of two rows can be charted.
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– MexicoMaximum of two rows can be charted.
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– Other Latin America (3)Maximum of two rows can be charted.
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Middle East & AfricaMaximum of two rows can be charted.
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North AmericaMaximum of two rows can be charted.
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– CanadaMaximum of two rows can be charted.
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– USMaximum of two rows can be charted.
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Western EuropeMaximum of two rows can be charted.
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– Other Western Europe (4)Maximum of two rows can be charted.
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– EU-5Maximum of two rows can be charted.
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— FranceMaximum of two rows can be charted.
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— GermanyMaximum of two rows can be charted.
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— ItalyMaximum of two rows can be charted.
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— SpainMaximum of two rows can be charted.
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— UKMaximum of two rows can be charted.
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WorldwideMaximum of two rows can be charted.
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Source: eMarketerApril 2023 

Note: all years converted to USD using 2022 exchange rates; Exchange Rate; includes products or services ordered using the internet via mobile devices, regardless of the method of payment or fulfillment; includes sales on tablets; excludes travel and event tickets, payments such as bill pay, taxes, or money transfers, restaurant sales, food services and drinking place sales, gambling and other vice goods sales

Additional Note: (1) Other Asia-Pacific includes American Samoa, Armenia, Azerbaijan, Bangladesh, Bhutan, Brunei, Burma, Cambodia, Cook Islands, Fiji, French Polynesia, Guam, Kiribati, Kyrgyzstan, Laos, Macau, Maldives, Marshall Islands, Micronesia, Mongolia, Nauru, Nepal, New Caledonia, Northern Mariana Islands, North Korea, Pakistan, Palau, Papua New Guinea, Samoa, Solomon Islands, Sri Lanka, Tajikistan, Timor-Leste, Tonga, Turkmenistan, Tuvalu, Uzbekistan, Vanuatu, Wallis and Futuna; (2) Other Central & Eastern Europe includes Albania, Belarus, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Estonia, Georgia, Hungary, Kazakhstan, Kosovo, Latvia, Lithuania, Moldova, Montenegro, Poland, Republic of Macedonia, Romania, Serbia, Slovakia, Slovenia, Turkey, Ukraine; (3) Other Latin America includes Anguilla, Antigua and Barbuda, Aruba, Bahamas, Barbados, Belize, Bolivia, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Dominica, Dominican Republic, Ecuador, El Salvador, Grenada, Guatemala, Guyana, Haiti, Honduras, Jamaica, Montserrat, Netherlands Antilles, Nicaragua, Panama, Paraguay, Peru, Saint-Barthelemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin, Saint Vincent and the Grenadines, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela, Virgin Islands (British), Virgin Islands (US); (4) Other Western Europe includes Andorra, Austria, Belgium, Denmark, Faroe Islands, Finland, Gibraltar, Greece, Greenland, Guernsey, Iceland, Ireland, Isle of Man, Jersey, Liechtenstein, Luxembourg, Malta, Monaco, Netherlands, Norway, Portugal, San Marino, Sweden, Switzerland.

Methodology: Estimates are based on the analysis of data from other research firms and government agencies, historical trends, reported and estimated revenues of major online retailers, consumer online buying trends, and macro-level economic conditions.

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