Delivery Robots Market By Product Type (Autonomous Mobile Robots, Delivery Drones, Autonomous Delivery Vehicles, Ground-Based Delivery Robots, Indoor Delivery Robots), By Payload Capacity (Low Payload Capacity, Medium Payload Capacity, High Payload Capacity), By End-User Industry (Retail & E-commerce, Food Delivery, Healthcare & Pharmaceutical, Logistics & Warehouse Management, Industrial), By Mode of Operation (Fully Autonomous, Semi-Autonomous, Manual), By Navigation Technology (GPS-based Navigation, Vision-based Navigation, LiDAR-based Navigation, Hybrid Navigation), and By Region; Global Insights & Forecast (2023 – 2030)

As per Intent Market Research, the Delivery Robots Market was valued at USD 0.6 Billion in 2024-e and will surpass USD 1.8 Billion by 2030; growing at a CAGR of 21.6% during 2025-2030.

The delivery robots market is experiencing rapid growth due to the increasing demand for efficient and cost-effective delivery solutions across various industries. These robots offer significant benefits, including reducing human labor costs, enhancing delivery speed, and addressing last-mile delivery challenges. The market is driven by technological advancements, rising e-commerce demand, and the growing need for automation in logistics. The key segments in the market include product types, payload capacities, navigation technologies, and regions, each playing a vital role in the expansion of the delivery robots ecosystem.

Autonomous Mobile Robots Segment Is Largest Owing to E-commerce Growth

The Autonomous Mobile Robots (AMRs) segment is the largest in the delivery robots market, driven primarily by the need for faster, safer, and more reliable last-mile delivery solutions. AMRs are extensively used in warehouses, logistics hubs, and large retail chains to transport goods, especially in e-commerce and distribution centers. These robots use advanced navigation and mapping systems to autonomously navigate and optimize delivery routes, reducing human intervention and errors. As e-commerce continues to grow globally, the demand for AMRs will remain strong, solidifying their position as the largest segment in the market.

AMRs are particularly valued for their flexibility and scalability in various environments. Whether in warehouses or busy urban areas, these robots can be programmed to adapt to different terrains, making them suitable for a wide range of applications. Their high efficiency in automating the delivery process in industrial settings has made them a key technology for companies looking to streamline their operations and meet the growing demands of consumers for quicker deliveries.

Delivery Robots Market Size

Medium Payload Capacity Segment Is Fastest Growing Due to Diverse Applications

The medium payload capacity segment (5kg to 20kg) is the fastest growing in the delivery robots market. This range is particularly appealing for a wide variety of industries, including retail, food delivery, and healthcare. Robots with medium payload capacity can carry multiple items at once while remaining highly efficient in urban environments. They are ideal for delivering a variety of goods, from food packages to pharmaceutical products, and are suitable for last-mile delivery in crowded city areas. The ability to carry multiple products while maintaining speed and energy efficiency positions medium payload robots as a rapidly expanding segment.

In the context of food delivery and e-commerce, medium payload robots offer an optimal balance between size and capacity. For instance, these robots can transport several food orders or small packages in a single trip, helping companies improve their operational efficiency and customer satisfaction. As more businesses adopt autonomous delivery solutions for medium-sized deliveries, the demand for robots in this capacity range will continue to rise.

Retail & E-commerce End-User Industry Is Largest Due to Rising Consumer Expectations

The retail and e-commerce industry is the largest end-user segment in the delivery robots market, with companies seeking efficient delivery solutions to meet the increasing demand for fast and reliable last-mile deliveries. E-commerce giants and retail chains are investing in autonomous delivery robots to manage the increasing number of orders and improve customer satisfaction. With the surge in online shopping, especially in the wake of the pandemic, the need for faster and more cost-effective delivery solutions has never been more critical. Delivery robots are particularly beneficial for handling the last leg of delivery, reducing delivery times and operational costs.

The retail and e-commerce sector is at the forefront of adopting autonomous delivery robots because of their ability to streamline logistics and reduce the dependency on human workers. By deploying these robots, companies can offer on-demand, contactless deliveries, which are becoming essential in today's fast-paced consumer environment. This trend is likely to continue, with more companies adopting autonomous delivery solutions as a standard part of their operations.

Fully Autonomous Mode of Operation Is Fastest Growing Due to Technological Advancements

The fully autonomous mode of operation is the fastest growing in the delivery robots market, driven by advances in artificial intelligence (AI) and machine learning. These robots are capable of navigating and making decisions without human intervention, making them ideal for widespread use in delivery operations. Fully autonomous robots are designed to work around the clock, optimize delivery routes, and handle a range of tasks, from transporting goods to navigating complex environments. As technology improves, the ability of these robots to operate independently continues to enhance their value proposition across industries.

Fully autonomous robots are particularly well-suited for large-scale operations, such as those required in e-commerce, where high-volume, cost-effective deliveries are essential. Companies that implement fully autonomous robots benefit from increased efficiency and reduced labor costs, allowing them to meet growing consumer expectations for quick and reliable delivery.

LiDAR-based Navigation Technology Is Largest Owing to Precision & Reliability

LiDAR-based navigation is the largest and most widely adopted navigation technology in the delivery robots market. LiDAR (Light Detection and Ranging) systems provide high-precision mapping and 3D environmental scanning, enabling robots to detect obstacles, plan routes, and navigate even in complex and cluttered environments. This technology is crucial for autonomous robots that operate in urban areas, where obstacles like pedestrians, vehicles, and infrastructure can present challenges. The high level of accuracy and reliability of LiDAR-based systems makes them ideal for ensuring safe and efficient operations in real-world environments.

The adoption of LiDAR technology is particularly strong among delivery robots operating in urban areas, where navigation precision is critical for safety and efficiency. As LiDAR technology continues to improve and become more affordable, its dominance in the market is expected to grow, further enhancing the capabilities of autonomous delivery robots.

North America Region Is Largest Due to Strong Technological Adoption

North America is the largest region in the delivery robots market, primarily due to the high rate of technological adoption and innovation. The region is home to several key players in the robotics industry, and companies in North America are at the forefront of developing and deploying autonomous robots for last-mile delivery. The demand for delivery robots is particularly strong in the U.S., where the e-commerce market is thriving and consumer expectations for fast delivery are high. Furthermore, North America has favorable regulatory environments and significant investments in autonomous vehicle technologies, enabling rapid deployment of delivery robots across urban and suburban areas.

The growth in North America is also fueled by the increasing number of startups and tech companies focused on autonomous delivery systems, as well as established companies like Amazon and Walmart, which are exploring or already implementing autonomous delivery solutions. As the demand for faster and more efficient delivery solutions continues to rise, North America is expected to maintain its position as the largest regional market.

Delivery Robots Market Size by Region 2030

Leading Companies and Competitive Landscape

The competitive landscape of the delivery robots market is dominated by key players like Starship Technologies, Nuro, Kiwibot, and Amazon Robotics, all of which are actively developing and deploying autonomous delivery solutions. These companies have been at the forefront of innovation, pushing the boundaries of robot capabilities and navigating regulatory hurdles to bring their solutions to market. Additionally, emerging players such as Otto Motors and Postmates are also making significant strides in the delivery robot space, focusing on improving the efficiency and functionality of their robots.

The market is characterized by intense competition, with companies vying for dominance in the autonomous delivery space. Partnerships and collaborations are becoming increasingly common as companies look to scale their technologies and expand their market reach. The competitive dynamics are likely to shift as advancements in AI, machine learning, and robotics continue to drive new product developments and operational efficiencies. As the industry matures, we can expect a consolidation of players and a shift toward more sophisticated, highly capable delivery robots that cater to a wide range of industries and use cases.

List of Leading Companies:

  • Starship Technologies
  • Nuro, Inc.
  • Kiwibot
  • Robomart
  • Otto Motors
  • Cleveron
  • Amazon Robotics
  • Postmates (acquired by Uber Technologies)
  • RoboCabs
  • Dispatch
  • Boxbot
  • TeleRetail
  • Urbanaut
  • Zebra Medical Vision
  • Savioke

Recent Developments:

  • Starship Technologies is expanding its autonomous delivery robots to several U.S. universities to enhance campus delivery services. The company aims to improve campus logistics while reducing delivery costs.
  • Nuro, an autonomous delivery vehicle company, has received regulatory approval from the California Department of Motor Vehicles to begin testing its vehicles on public roads, signaling a major step in the commercialization of autonomous delivery.
  • Amazon Robotics unveiled a new generation of delivery robots designed to autonomously deliver packages from local warehouses to consumers' homes. This development promises to enhance Amazon's last-mile delivery solutions.
  • Uber-owned Postmates announced its new drone-based delivery service in Los Angeles to enhance the speed and efficiency of its food delivery operations, especially in congested urban areas.
  • Kiwibot signed partnerships with top global food chains to expand its autonomous food delivery network. The company aims to deliver food in under 30 minutes using small, electric robots

Report Scope:

Report Features

Description

Market Size (2024-e)

USD 0.6 Billion

Forecasted Value (2030)

USD 1.8 Billion

CAGR (2025 – 2030)

21.6%

Base Year for Estimation

2024-e

Historic Year

2023

Forecast Period

2025 – 2030

Report Coverage

Market Forecast, Market Dynamics, Competitive Landscape, Recent Developments

Segments Covered

Delivery Robots Market By Product Type (Autonomous Mobile Robots, Delivery Drones, Autonomous Delivery Vehicles, Ground-Based Delivery Robots, Indoor Delivery Robots), By Payload Capacity (Low Payload Capacity, Medium Payload Capacity, High Payload Capacity), By End-User Industry (Retail & E-commerce, Food Delivery, Healthcare & Pharmaceutical, Logistics & Warehouse Management, Industrial), By Mode of Operation (Fully Autonomous, Semi-Autonomous, Manual), By Navigation Technology (GPS-based Navigation, Vision-based Navigation, LiDAR-based Navigation, Hybrid Navigation)

Regional Analysis

North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, and Rest of Europe), Asia-Pacific (China, Japan, South Korea, Australia, India, and Rest of Asia-Pacific), Latin America (Brazil, Argentina, and Rest of Latin America), Middle East & Africa (Saudi Arabia, UAE, Rest of Middle East & Africa)

Major Companies

Starship Technologies, Nuro, Inc., Kiwibot, Robomart, Otto Motors, Cleveron, Amazon Robotics, Postmates (acquired by Uber Technologies), RoboCabs, Dispatch, Boxbot, TeleRetail, Urbanaut, Zebra Medical Vision, Savioke

Customization Scope

Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements

Frequently Asked Questions

The Delivery Robots Market was valued at USD 0.6 Billion in 2024-e and is expected to grow at a CAGR of over 21.6% from 2025 to 2030

Delivery robots help e-commerce companies reduce delivery times and costs by providing autonomous, last-mile delivery solutions, enhancing efficiency.

GPS-based and vision-based navigation systems are the leading technologies used for effective route optimization and obstacle avoidance in delivery robots.

Urban environments present challenges like traffic, pedestrians, and regulatory restrictions, which hinder the widespread deployment of delivery robots.

Yes, delivery robots help businesses cut down on labor and delivery costs, although the initial investment and regulatory compliance remain a challenge.

1. Introduction

   1.1. Market Definition

   1.2. Scope of the Study

   1.3. Research Assumptions

   1.4. Study Limitations

2. Research Methodology

   2.1. Research Approach

      2.1.1. Top-Down Method

      2.1.2. Bottom-Up Method

      2.1.3. Factor Impact Analysis

  2.2. Insights & Data Collection Process

      2.2.1. Secondary Research

      2.2.2. Primary Research

   2.3. Data Mining Process

      2.3.1. Data Analysis

      2.3.2. Data Validation and Revalidation

      2.3.3. Data Triangulation

3. Executive Summary

   3.1. Major Markets & Segments

   3.2. Highest Growing Regions and Respective Countries

   3.3. Impact of Growth Drivers & Inhibitors

   3.4. Regulatory Overview by Country

4. Delivery Robots Market , by  Product Type (Market Size & Forecast: USD Million, 2023 – 2030)

   4.1. Autonomous Mobile Robots (AMRs)

   4.2. Delivery Drones

   4.3. Autonomous Delivery Vehicles

   4.4. Ground-based Delivery Robots

   4.5. Indoor Delivery Robots

   4.6. Others

5. Delivery Robots Market , by  Payload Capacity (Market Size & Forecast: USD Million, 2023 – 2030)

   5.1. Low Payload Capacity (Less than 5kg)

   5.2. Medium Payload Capacity (5kg - 20kg)

   5.3. High Payload Capacity (Above 20kg)

6. Delivery Robots Market , by  End-User Industry (Market Size & Forecast: USD Million, 2023 – 2030)

   6.1. Retail & E-commerce

   6.2. Food Delivery

   6.3. Healthcare & Pharmaceutical

   6.4. Logistics & Warehouse Management

   6.5. Industrial

   6.6. Others

7. Delivery Robots Market , by  Mode of Operation (Market Size & Forecast: USD Million, 2023 – 2030)

   7.1. Fully Autonomous

   7.2. Semi-autonomous

   7.3. Manual

8. Delivery Robots Market , by Navigation Technology (Market Size & Forecast: USD Million, 2023 – 2030)

   8.1. GPS-based Navigation

   8.2. Vision-based Navigation

   8.3. LiDAR-based Navigation

   8.4. Hybrid Navigation

9. Regional Analysis (Market Size & Forecast: USD Million, 2023 – 2030)

   9.1. Regional Overview

   9.2. North America

      9.2.1. Regional Trends & Growth Drivers

      9.2.2. Barriers & Challenges

      9.2.3. Opportunities

      9.2.4. Factor Impact Analysis

      9.2.5. Technology Trends

      9.2.6. North America Delivery Robots Market , by  Product Type

      9.2.7. North America Delivery Robots Market , by  Payload Capacity

      9.2.8. North America Delivery Robots Market , by  End-User Industry

      9.2.9. North America Delivery Robots Market , by  Mode of Operation

      9.2.10. North America Delivery Robots Market , by Navigation Technology

      9.2.11. By Country

         9.2.11.1. US

               9.2.11.1.1. US Delivery Robots Market , by  Product Type

               9.2.11.1.2. US Delivery Robots Market , by  Payload Capacity

               9.2.11.1.3. US Delivery Robots Market , by  End-User Industry

               9.2.11.1.4. US Delivery Robots Market , by  Mode of Operation

               9.2.11.1.5. US Delivery Robots Market , by Navigation Technology

         9.2.11.2. Canada

         9.2.11.3. Mexico

    *Similar segmentation will be provided for each region and country

   9.3. Europe

   9.4. Asia-Pacific

   9.5. Latin America

   9.6. Middle East & Africa

10. Competitive Landscape

   10.1. Overview of the Key Players

   10.2. Competitive Ecosystem

      10.2.1. Level of Fragmentation

      10.2.2. Market Consolidation

      10.2.3. Product Innovation

   10.3. Company Share Analysis

   10.4. Company Benchmarking Matrix

      10.4.1. Strategic Overview

      10.4.2. Product Innovations

   10.5. Start-up Ecosystem

   10.6. Strategic Competitive Insights/ Customer Imperatives

   10.7. ESG Matrix/ Sustainability Matrix

   10.8. Manufacturing Network

      10.8.1. Locations

      10.8.2. Supply Chain and Logistics

      10.8.3. Product Flexibility/Customization

      10.8.4. Digital Transformation and Connectivity

      10.8.5. Environmental and Regulatory Compliance

   10.9. Technology Readiness Level Matrix

   10.10. Technology Maturity Curve

   10.11. Buying Criteria

11. Company Profiles

   11.1. Starship Technologies

      11.1.1. Company Overview

      11.1.2. Company Financials

      11.1.3. Product/Service Portfolio

      11.1.4. Recent Developments

      11.1.5. IMR Analysis

    *Similar information will be provided for other companies 

   11.2. Nuro, Inc.

   11.3. Kiwibot

   11.4. Robomart

   11.5. Otto Motors

   11.6. Cleveron

   11.7. Amazon Robotics

   11.8. Postmates (acquired by Uber Technologies)

   11.9. RoboCabs

   11.10. Dispatch

   11.11. Boxbot

   11.12. TeleRetail

   11.13. Urbanaut

   11.14. Zebra Medical Vision

   11.15. Savioke

12. Appendix

 

A comprehensive market research approach was employed to gather and analyze data on the Delivery Robots Market. In the process, the analysis was also done to analyze the parent market and relevant adjacencies to measure the impact of them on the Delivery Robots Market. The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.

Research Approach -Delivery Robots Market

Secondary Research

Secondary research involved a thorough review of pertinent industry reports, journals, articles, and publications. Additionally, annual reports, press releases, and investor presentations of industry players were scrutinized to gain insights into their market positioning and strategies.

Primary Research

Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the Delivery Robots Market ecosystem. The primary research objectives included:

  • Validating findings and assumptions derived from secondary research
  • Gathering qualitative and quantitative data on market trends, drivers, and challenges
  • Understanding the demand-side dynamics, encompassing end-users, component manufacturers, facility providers, and service providers
  • Assessing the supply-side landscape, including technological advancements and recent developments

Market Size Assessment

A combination of top-down and bottom-up approaches was utilized to analyze the overall size of the Delivery Robots Market. These methods were also employed to assess the size of various subsegments within the market. The market size assessment methodology encompassed the following steps:

  1. Identification of key industry players and relevant revenues through extensive secondary research
  2. Determination of the industry's supply chain and market size, in terms of value, through primary and secondary research processes
  3. Calculation of percentage shares, splits, and breakdowns using secondary sources and verification through primary sources

Bottom Up and Top Down -Delivery Robots Market

Data Triangulation

To ensure the accuracy and reliability of the market size, data triangulation was implemented. This involved cross-referencing data from various sources, including demand and supply side factors, market trends, and expert opinions. Additionally, top-down and bottom-up approaches were employed to validate the market size assessment.

Please state your requirements.

  • United States+1
  • United Kingdom+44
  • Albania (Shqipëri)+355
  • Algeria (‫الجزائر‬‎)+213
  • American Samoa+1
  • Andorra+376
  • Angola+244
  • Anguilla+1
  • Antigua and Barbuda+1
  • Argentina+54
  • Armenia (Հայաստան)+374
  • Aruba+297
  • Australia+61
  • Austria (Österreich)+43
  • Azerbaijan (Azərbaycan)+994
  • Bahamas+1
  • Bahrain (‫البحرين‬‎)+973
  • Barbados+1
  • Belarus (Беларусь)+375
  • Belgium (België)+32
  • Belize+501
  • Benin (Bénin)+229
  • Bermuda+1
  • Bhutan (འབྲུག)+975
  • Bolivia+591
  • Bosnia and Herzegovina (Босна и Херцеговина)+387
  • Botswana+267
  • Brazil (Brasil)+55
  • British Indian Ocean Territory+246
  • British Virgin Islands+1
  • Brunei+673
  • Bulgaria (България)+359
  • Burkina Faso+226
  • Burundi (Uburundi)+257
  • Cambodia (កម្ពុជា)+855
  • Cameroon (Cameroun)+237
  • Canada+1
  • Cape Verde (Kabu Verdi)+238
  • Caribbean Netherlands+599
  • Cayman Islands+1
  • Central African Republic (République centrafricaine)+236
  • Chad (Tchad)+235
  • Chile+56
  • China (中国)+86
  • Christmas Island+61
  • Cocos (Keeling) Islands+61
  • Colombia+57
  • Comoros (‫جزر القمر‬‎)+269
  • Congo (DRC) (Jamhuri ya Kidemokrasia ya Kongo)+243
  • Congo (Republic) (Congo-Brazzaville)+242
  • Cook Islands+682
  • Costa Rica+506
  • Côte d’Ivoire+225
  • Croatia (Hrvatska)+385
  • Cuba+53
  • Curaçao+599
  • Cyprus (Κύπρος)+357
  • Czech Republic (Česká republika)+420
  • Denmark (Danmark)+45
  • Djibouti+253
  • Dominica+1
  • Dominican Republic (República Dominicana)+1
  • Ecuador+593
  • Egypt (‫مصر‬‎)+20
  • El Salvador+503
  • Equatorial Guinea (Guinea Ecuatorial)+240
  • Eritrea+291
  • Estonia (Eesti)+372
  • Ethiopia+251
  • Falkland Islands (Islas Malvinas)+500
  • Faroe Islands (Føroyar)+298
  • Fiji+679
  • Finland (Suomi)+358
  • France+33
  • French Guiana (Guyane française)+594
  • French Polynesia (Polynésie française)+689
  • Gabon+241
  • Gambia+220
  • Georgia (საქართველო)+995
  • Germany (Deutschland)+49
  • Ghana (Gaana)+233
  • Gibraltar+350
  • Greece (Ελλάδα)+30
  • Greenland (Kalaallit Nunaat)+299
  • Grenada+1
  • Guadeloupe+590
  • Guam+1
  • Guatemala+502
  • Guernsey+44
  • Guinea (Guinée)+224
  • Guinea-Bissau (Guiné Bissau)+245
  • Guyana+592
  • Haiti+509
  • Honduras+504
  • Hong Kong (香港)+852
  • Hungary (Magyarország)+36
  • Iceland (Ísland)+354
  • India (भारत)+91
  • Indonesia+62
  • Ireland+353
  • Isle of Man+44
  • Israel (‫ישראל‬‎)+972
  • Italy (Italia)+39
  • Jamaica+1
  • Japan (日本)+81
  • Jersey+44
  • Jordan (‫الأردن‬‎)+962
  • Kazakhstan (Казахстан)+7
  • Kenya+254
  • Kiribati+686
  • Kosovo+383
  • Kuwait (‫الكويت‬‎)+965
  • Kyrgyzstan (Кыргызстан)+996
  • Laos (ລາວ)+856
  • Latvia (Latvija)+371
  • Lebanon (‫لبنان‬‎)+961
  • Lesotho+266
  • Liberia+231
  • Libya (‫ليبيا‬‎)+218
  • Liechtenstein+423
  • Lithuania (Lietuva)+370
  • Luxembourg+352
  • Macau (澳門)+853
  • Macedonia (FYROM) (Македонија)+389
  • Madagascar (Madagasikara)+261
  • Malawi+265
  • Malaysia+60
  • Maldives+960
  • Mali+223
  • Malta+356
  • Marshall Islands+692
  • Martinique+596
  • Mauritania (‫موريتانيا‬‎)+222
  • Mauritius (Moris)+230
  • Mayotte+262
  • Mexico (México)+52
  • Micronesia+691
  • Moldova (Republica Moldova)+373
  • Monaco+377
  • Mongolia (Монгол)+976
  • Montenegro (Crna Gora)+382
  • Montserrat+1
  • Morocco (‫المغرب‬‎)+212
  • Mozambique (Moçambique)+258
  • Myanmar (Burma) (မြန်မာ)+95
  • Namibia (Namibië)+264
  • Nauru+674
  • Netherlands (Nederland)+31
  • New Caledonia (Nouvelle-Calédonie)+687
  • New Zealand+64
  • Nicaragua+505
  • Niger (Nijar)+227
  • Nigeria+234
  • Niue+683
  • Norfolk Island+672
  • Northern Mariana Islands+1
  • Norway (Norge)+47
  • Oman (‫عُمان‬‎)+968
  • Palau+680
  • Palestine (‫فلسطين‬‎)+970
  • Panama (Panamá)+507
  • Papua New Guinea+675
  • Paraguay+595
  • Peru (Perú)+51
  • Philippines+63
  • Poland (Polska)+48
  • Portugal+351
  • Puerto Rico+1
  • Qatar (‫قطر‬‎)+974
  • Réunion (La Réunion)+262
  • Romania (România)+40
  • Russia (Россия)+7
  • Rwanda+250
  • Saint Barthélemy+590
  • Saint Helena+290
  • Saint Kitts and Nevis+1
  • Saint Lucia+1
  • Saint Martin (Saint-Martin (partie française))+590
  • Saint Pierre and Miquelon (Saint-Pierre-et-Miquelon)+508
  • Saint Vincent and the Grenadines+1
  • Samoa+685
  • San Marino+378
  • São Tomé and Príncipe (São Tomé e Príncipe)+239
  • Saudi Arabia (‫المملكة العربية السعودية‬‎)+966
  • Senegal (Sénégal)+221
  • Serbia (Србија)+381
  • Seychelles+248
  • Sierra Leone+232
  • Singapore+65
  • Sint Maarten+1
  • Slovakia (Slovensko)+421
  • Slovenia (Slovenija)+386
  • Solomon Islands+677
  • Somalia (Soomaaliya)+252
  • South Africa+27
  • South Korea (대한민국)+82
  • South Sudan (‫جنوب السودان‬‎)+211
  • Spain (España)+34
  • Sri Lanka (ශ්‍රී ලංකාව)+94
  • Sudan (‫السودان‬‎)+249
  • Suriname+597
  • Svalbard and Jan Mayen+47
  • Swaziland+268
  • Sweden (Sverige)+46
  • Switzerland (Schweiz)+41
  • Syria (‫سوريا‬‎)+963
  • Taiwan (台灣)+886
  • Tajikistan+992
  • Tanzania+255
  • Thailand (ไทย)+66
  • Timor-Leste+670
  • Togo+228
  • Tokelau+690
  • Tonga+676
  • Trinidad and Tobago+1
  • Tunisia (‫تونس‬‎)+216
  • Turkey (Türkiye)+90
  • Turkmenistan+993
  • Turks and Caicos Islands+1
  • Tuvalu+688
  • U.S. Virgin Islands+1
  • Uganda+256
  • Ukraine (Україна)+380
  • United Arab Emirates (‫الإمارات العربية المتحدة‬‎)+971
  • United Kingdom+44
  • United States+1
  • Uruguay+598
  • Uzbekistan (Oʻzbekiston)+998
  • Vanuatu+678
  • Vatican City (Città del Vaticano)+39
  • Venezuela+58
  • Vietnam (Việt Nam)+84
  • Wallis and Futuna (Wallis-et-Futuna)+681
  • Western Sahara (‫الصحراء الغربية‬‎)+212
  • Yemen (‫اليمن‬‎)+967
  • Zambia+260
  • Zimbabwe+263
  • Åland Islands+358

I have read the Terms & Conditions and Privacy Policy. I agree to its terms.

Report Buying Options