AI Video Market Size & Forecast 2026–2034

How big is the AI video market, really? Published answers range from under $1 billion to over $6 billion for the same year — because analysts draw the market’s boundary in three different places. This report reconciles the definitions, anchors the forecast to its sources, maps revenue by player, and stress-tests the assumptions behind the $47.8 billion 2034 projection.

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Why the market-size numbers disagree — and which one to use

Ask three analysts the size of the AI video market and you will get three honest, incompatible answers. The narrowest definition — revenue of pure text-to-video generation engines like Kling, Runway and Veo API sales — puts 2026 at roughly $847–946 million. Add AI-assisted editing and post-production software and the 2026 figure grows to about $3.67 billion. Draw the widest boundary — the full AI video platform stack including avatar tools, dubbing/localization, and enterprise video suites — and the market was already ~$6.2 billion in 2025, the base for Grand View Research’s projection of $47.8 billion by 2034 at a 25.4% CAGR.

All three are “right”; they measure different things. The practical rule: use the narrow figure to size the model-provider opportunity, the middle figure for the creative-software market, and the broad figure for the total category. What no definition disputes is the trajectory — usage grew ~840% in two years, adoption reached 78% of marketing teams, and per-clip generation costs fell to cents, the classic precondition for a volume market.

The forecast’s biggest tension is unit economics. Video inference is the most compute-hungry generative workload, and the market’s most famous product — OpenAI’s Sora — is being retired in 2026 partly because a standalone app could not monetize against those costs. Growth to $47.8B assumes inference costs keep falling faster than prices — plausible given the trend, but it is an assumption, not a fact.

• Three markets, three numbers. ~$0.9B (generation engines), ~$3.7B (+ editing), ~$6.2B (full platform stack) — always check the boundary before quoting a figure.
• The growth is real regardless of definition. ~25% CAGR to 2034 is anchored by verified usage growth, not just analyst optimism.
• Compute cost is the forecast’s fault line. Sora’s shutdown shows what happens when inference costs outrun monetization.

The three definitions, reconciled

The forecast path to 2034

Grand View Research publishes the endpoints ($6.2B in 2025, $47.8B in 2034, 25.4% CAGR). The intermediate years below are The AI Index’s interpolation of that constant growth rate — a smooth path the real market will not follow exactly, but a useful planning baseline:

DERIVED rows are computed by The AI Index from the published 2025 base and 25.4% CAGR; they are not analyst-published figures and should be quoted as such.

Who is actually making money

Disclosed revenue in AI video is scarce — most players are private and bundle video into larger products. The best-documented 2026 data points:

Demand drivers — and the three risks to the forecast

What powers the growth: 78% of marketing teams already use AI video at least quarterly and 73% of the Fortune 500 have integrated it into workflows; per-clip costs of $0.05–$0.84 per 10 seconds make video cheap enough to test like display ads; and localization — regenerating one spot across dozens of markets — turns every global campaign into a volume customer. Full usage data lives in our AI Video Generation Statistics index.

What could break it: (1) Compute economics — video inference costs are the highest of any generative workload, and Sora’s exit shows what happens when monetization lags them. (2) Copyright litigation — training-data suits against video models could impose licensing costs the forecasts do not include; see our report on AI and copyright. (3) Trust and regulation — deepfake and provenance rules (EU AI Act transparency obligations among them) could constrain the consumer segment; our deepfake fraud index tracks the misuse side of the same technology.

FAQ

How big is the AI video market in 2026?

Between ~$0.9B and ~$7.8B depending on definition: $847–946M for pure generation engines, ~$3.67B including AI editing, and ~$7.8B (derived) on the broad platform definition growing from $6.2B in 2025.

How fast is it growing?

25.4% CAGR on the broad definition (Grand View Research), reaching a projected $47.8B by 2034. Underlying usage grew faster still — generation volume rose ~840% between January 2024 and January 2026.

Who leads the market?

By documented revenue, Kling (~$500M run-rate); by distribution and volume, Google’s Veo/Flow ecosystem; by professional tooling, Runway. OpenAI’s Sora exits the market by September 2026.

Market sizes from Grand View Research and Digital Applied market compilations; volume figures from Google announcements (Oct 2025) and Luma Labs tracking; adoption from Pictory (2026); pricing from vendor list prices, mid-2026. Rows marked DERIVED are The AI Index’s own CAGR interpolation and are not analyst-published. All third-party market forecasts are rated MEDIUM: methodologies are proprietary and vendor definitions differ. Corrections: see our methodology and corrections policy.

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