Social Media Ad Revenue to Hit $640 bn by 2030

Global social media advertising revenue will reach $640 billion by 2030, according to a forecast from InfotechLead, with artificial intelligence and video formats acting as the primary engines of market expansion.

The projection positions social advertising as one of the fastest-growing segments in digital media. Two forces underpin the forecast: the rapid adoption of AI-driven ad tools across major platforms, and the continued shift of budgets toward short-form and long-form video inventory.

For advertisers and agencies, the number matters because it signals where competitive pressure and pricing are heading. If the market grows toward $640 billion by the end of the decade, practitioners should expect continued inflation in auction costs for high-performing formats — particularly video placements optimized by platform AI systems — and rising minimum effective budgets for brands that want meaningful reach.

AI's role in the expansion deserves scrutiny rather than hype. Platform-side automation, from audience targeting to creative generation, lowers the operational barrier for smaller advertisers while giving large spenders more efficient ways to scale. That dynamic expands the total advertiser base, which in turn feeds revenue growth. It also compresses the advantage that sophisticated in-house media teams once held over leaner competitors, since automated buying narrows the performance gap between them.

Video is the second pillar. Platforms have spent years reweighting their feeds and ad inventories toward video, and advertiser budgets have followed. The forecast's reliance on video as a growth driver tracks with observable behavior: platforms continue to prioritize video placements in ad product updates, and creators continue to reorient output around video-first formats.

For social media managers and performance marketers, the practical implications are straightforward. Formats combining AI optimization with video delivery will likely absorb a growing share of impressions, which means creative production capacity — not just media budget — becomes a planning constraint. Teams that cannot produce video creative at volume may find efficient AI-targeted inventory effectively closed to them, regardless of budget.

The forecast also carries a caution. Projections of this kind extrapolate from current growth conditions, and the ad market has shown sensitivity to macroeconomic shifts before. A downturn, regulatory intervention in ad targeting, or platform-specific disruption could bend the curve. The $640 billion figure is a scenario grounded in today's trajectory, not a guarantee.

What official data does confirm is the direction: AI-powered ad products and video inventory are the two categories where platforms are concentrating product investment, and advertiser demand in both categories remains strong. Speculation about which specific platform captures the largest share of that growth is just that — speculation — and the forecast itself does not name winners.

Practitioners should treat the number as a planning signal. Budgets, staffing, and creative pipelines built for a market of this size in 2030 need investment decisions now, particularly in video production capability and fluency with AI-driven campaign tools.

As platforms roll out more AI-assisted buying and expand video ad inventory through the decade, expect the gap between video-capable, AI-fluent advertisers and the rest to widen — with the forecast's growth concentrated in the hands of those who moved earliest.