E-commerce industry outlook: growth, channels, and pressure points

Global e-commerce keeps growing as a share of retail, but growth rates vary by region and category. Industry forecasters continue to project single-digit annual growth for global online sales through the late 2020s. As one widely cited data cut (EMARKETER, summarised by Shopify) outlines, worldwide retail e-commerce revenue was on track for roughly $6.4 trillion in 2025, with further expansion into 2026–2028 — online’s share of total retail is expected to climb toward the low twenties in percentage terms over that window. Treat any point estimate as a forecast, not certainty.

Reference-scale numbers (forecasts, not guarantees)

Reports that aggregate analyst models often show year-over-year advances in the high single digits for total global e-commerce sales in the mid-2020s, with online penetration of retail rising gradually toward roughly a fifth to a quarter of spend — depending on region and category. The largest revenue pools remain concentrated: China, the United States, and Western Europe together account for the dominant slice of global e-commerce in many forecast tables. For detail and charts, see third-party summaries such as Shopify’s global e-commerce sales article (EMARKETER-sourced figures): https://www.shopify.com/uk/blog/global-ecommerce-sales — cited for macro context only; not WEM’s business.

Mobile and social commerce

Orders from phones and tablets dominate in numerous categories — industry commentary often notes that mobile accounts for the large majority of retail site traffic even when desktops still convert in some segments. Social platforms double as storefronts: creators introduce products, and checkout deep-links send buyers to merchant sites or in-app carts. That shift rewards attribution clarity — brands want to know which content drove sales — and penalises opaque last-click models. Affiliate platforms that respect multi-touch journeys while staying compliant with ad disclosure rules will keep trust.

Cross-border and logistics

Consumers increasingly buy from overseas sellers when price and selection justify longer shipping times. Tariffs, customs, and returns remain friction points. Forecasts often assume gradual improvement in localised fulfilment networks and clearer landed-cost estimates at checkout — areas where AI can help estimate duties but cannot remove regulation.

AI as baseline, not magic

Retailers deploy generative tools for support, search, and merchandising. Consumer surveys cited in industry press suggest many shoppers also use general-purpose AI assistants alongside store sites — raising the bar for accurate product data and policy answers on the merchant side. Productivity gains in content and service coexist with new risks (hallucinations, brand safety). The competitive bar for “good enough” product discovery rises every year, which pressures independent shops to partner with aggregators or invest heavily in data.

Emerging markets

High headline growth rates are increasingly concentrated in select regions (for example parts of Southeast Asia and Latin America in many forecast tables). That matters for cross-border sellers choosing payment methods, returns policies, and localised fulfilment — opportunities for platforms that can route demand without pretending logistics are solved globally overnight.

Margins and loyalty

Discounting and free shipping trained shoppers to compare ruthlessly. Programs that blend cashback, points, and paid memberships still win repeat visits — but only when fulfilment stays reliable, attribution is honest, and disclosures are clear. The loyalty arms race is moving toward transparency: shoppers want to know how much a portal earned for sending them to a retailer, and what — if anything — comes back to them.

What this means for affiliate-first platforms

The tailwinds are real: more digital spend, more creator-led discovery, more demand for transparent incentives. The headwinds are equally real: compliance, fraud, and the need to integrate cleanly with existing retailer systems. WEM’s approach — multi-source discovery with tracked partner checkout and clear disclosures — sits in the pragmatic middle: meet shoppers where they already buy, then provide context (price comparison, seller signals, attribution) where it genuinely helps the decision.

Third-party market forecasts are inherently uncertain. Figures above paraphrase commonly cited industry sources (e.g. EMARKETER via Shopify’s global e-commerce sales article) for educational context only — not financial projections for any merchant or company.