Explore leading e-commerce companies shaping global online retail. View top firms, analyze how buying happens in this sector, and track sales signals with OutX.ai.
E-commerce drives nearly every digital purchase today—from small DTC brands to enterprise marketplaces. The companies listed below lead in logistics, personalization, and conversion tech. This directory helps SDRs, marketers, and analysts identify where growth happens and who’s buying what across a fast-changing commerce stack.
| Companies | Employees | HQ Location | Revenue | Founded | Traffic |
|---|---|---|---|---|---|
701,100 | 🇺🇸 Washington, Seattle | $ >1000M | 2012 | 23,324,999,809 | |
229,476 | 🇺🇸 Arkansas, Bentonville | $ >1000M | 1962 | 2,705,577,875 | |
106,218 | 🇺🇸 Georgia, Atlanta | $ >1000M | 1979 | 961,368,014 | |
80,306 | 🇺🇸 North Carolina, Mooresville | $ >1000M | 1921 | 495,803,976 | |
48,812 | 🇺🇸 Oregon, Beaverton | $ >1000M | 1985 | 682,919,994 | |
36,526 | 🇺🇸 South Carolina, Hartsville | $ >1000M | 2000 | 50,736,997 | |
421 | 🇰🇷 Suwon-si | $ >1000M | 2015 | 3,416,000,080 | |
59,720 | 🇺🇸 Washington, Seattle | $ >1000M | 1983 | 514,504,013 | |
241 | 🇿🇦 Stellenbosch | $ >1000M | 1964 | 44,376 | |
63,919 | 🇺🇸 Tennessee, Goodlettsville | $ >1000M | 1939 | 27,511,999 |
Speed and scalability come first. E-commerce buyers judge tools by checkout impact, uptime, and integration depth. They move fast but hate friction. Compliance, fraud prevention, and data-layer fit rank just beneath cost. Vendor pitches that show conversion-rate uplift or reduced cart abandonment win attention.
Takeaway: B2B sellers who talk in revenue-per-visitor, not features, usually close faster.
Budgets shift monthly. Many teams use rolling ROI models instead of annual plans. Marketing owns experimentation, finance validates scale, tech approves security. Expect pilot first, contract later. Vendors who survive post-pilot prove measurable impact within weeks.
Takeaway: Buyers care less about brand hype and more about execution proof.
Fragmented data, ad cost inflation, slow site speed, and retention drops push teams to buy automation, analytics, and CX tools. Buyers seek plug-and-run systems with light engineering load. Security and privacy are baseline requirements.
Takeaway: When pain is quantified in minutes or dollars, decisions happen fast.
Decision-making is distributed. Growth teams initiate, Ops validates, Tech approves. CMO may sign, but not alone. Expect a four-person loop: marketing lead, data analyst, dev ops, finance. Each requires different evidence.
Takeaway: Multi-threaded outreach is not optional—it’s how you stay in their loop.
New market launch, hiring for growth ops or retention roles, integration announcements, funding rounds, spike in job posts for CRM or MarTech managers. These indicate budget availability and new tools are considered.
Takeaway: These moments open the door before procurement even starts.
They speak customer-language, not vendor-speak. Tie product outcomes to revenue, not features. Use visual case studies, numbers first. Show fit into the conversion funnel from awareness to checkout. Fast response on LinkedIn builds trust.
Takeaway: E-commerce buyers notice momentum as much as they notice value.
Understanding how e-commerce companies buy turns guesswork into timing. Their signals—funding, hires, tech posts—reveal intent long before forms do. Mapping these movements helps sales and marketing teams prioritize real opportunities instead of noise. With OutX.ai, you can track those buying patterns as they unfold across LinkedIn and engage the right people when they’re most receptive.