AI Video Statistics 2026: Adoption, Production, Time Savings and Audience Results

Statistics in summary

• 71% of surveyed video creators had used AI generation or editing tools.
• 41% of AI-video users used the tools weekly.
• 40% used them occasionally.
• 19% had tried them only once or twice.
• 82% of Facebook video creators used AI tools.
• 75% of Instagram video creators used AI tools.
• 75% of TikTok video creators used AI tools.
• 74% of YouTube video creators used AI tools.
• 58% of LinkedIn video creators used AI weekly.
• 30% of TikTok video creators used AI weekly.
• 58% used AI for video editing.
• 42% used AI for transitions and effects.

AI creator adoption statistics

• 71% of surveyed video creators had used AI generation or editing tools. (Adobe Express, 2026)
• 41% of AI-video users used the tools weekly. (Adobe Express, 2026)
• 40% used them occasionally. (Adobe Express, 2026)
• 19% had tried them only once or twice. (Adobe Express, 2026)
• 82% of Facebook video creators used AI tools. (Adobe Express, 2026)
• 75% of Instagram video creators used AI tools. (Adobe Express, 2026)
• 75% of TikTok video creators used AI tools. (Adobe Express, 2026)
• 74% of YouTube video creators used AI tools. (Adobe Express, 2026)
• 58% of LinkedIn video creators used AI weekly. (Adobe Express, 2026)
• 30% of TikTok video creators used AI weekly. (Adobe Express, 2026)

Production use cases statistics

• 58% used AI for video editing. (Adobe Express, 2026)
• 42% used AI for transitions and effects. (Adobe Express, 2026)
• 37% used AI to create thumbnails. (Adobe Express, 2026)
• 37% used AI for music selection. (Adobe Express, 2026)
• 36% used AI for voiceovers. (Adobe Express, 2026)

Time and output statistics

• 56% said AI saved more than 30 minutes per video. (Adobe Express, 2026)
• 10% said AI saved more than four hours per video. (Adobe Express, 2026)
• 50% of teams with four or more members saved more than two hours per video. (Adobe Express, 2026)
• 25% of teams with two or three members saved more than two hours. (Adobe Express, 2026)
• 18% of solo creators saved more than two hours. (Adobe Express, 2026)
• 27% said AI increased confidence in their final content. (Adobe Express, 2026)
• 26% reported both faster turnaround and more consistent posting. (Adobe Express, 2026)
• 24% used AI to explore new video formats. (Adobe Express, 2026)

Reported audience and business effects statistics

• 19% reported increased audience watch time or completion rates. (Adobe Express, 2026)
• 17% reported improved engagement. (Adobe Express, 2026)
• 24% of creators with brand deals reported gaining more sponsorships after adopting AI. (Adobe Express, 2026)
• 42% reported higher client satisfaction. (Adobe Express, 2026)
• 40% reported more brand partnerships. (Adobe Express, 2026)
• 28% reported higher CPMs or sponsorship rates. (Adobe Express, 2026)
• 31% said audiences noticed AI edits but did not mind them. (Adobe Express, 2026)
• 23% said audiences had not noticed AI edits. (Adobe Express, 2026)
• 2% reported a negative audience response to AI edits. (Adobe Express, 2026)
• 50% planned to increase AI-video spending over the next year. (Adobe Express, 2026)
• 33% planned to maintain AI-video budgets. (Adobe Express, 2026)

Business video baseline statistics

• 91% of businesses used video as a marketing tool. (Wyzowl, 2026)
• 93% of video marketers considered video important to their overall strategy. (Wyzowl, 2026)
• 63% had used AI video tools to create or edit marketing videos, up from 51%. (Wyzowl, 2026)
• 59% created video entirely in house. (Wyzowl, 2026)
• 32% used a mix of in-house and external production. (Wyzowl, 2026)
• 10% used external vendors exclusively. (Wyzowl, 2026)
• 69% created social-media videos. (Wyzowl, 2026)
• 68% created explainer videos. (Wyzowl, 2026)
• 57% created testimonial videos. (Wyzowl, 2026)
• 48% created video advertisements. (Wyzowl, 2026)

Video outcomes and consumer demand statistics

• 93% said video helped increase brand awareness. (Wyzowl, 2026)
• 85% said video helped generate leads. (Wyzowl, 2026)
• 83% said video directly increased sales. (Wyzowl, 2026)
• 82% said video increased web traffic. (Wyzowl, 2026)
• 82% said video increased website dwell time. (Wyzowl, 2026)
• 57% said video reduced support queries. (Wyzowl, 2026)
• 96% of consumers had watched an explainer video to learn about a product or service. (Wyzowl, 2026)
• 85% had been convinced to buy a product or service after watching video. (Wyzowl, 2026)
• 80% had bought or downloaded an app after an app-demo video. (Wyzowl, 2026)
• 84% wanted more brand videos in 2026. (Wyzowl, 2026)
• 89% said video quality affected trust in a brand. (Wyzowl, 2026)
• 63% preferred a short video for learning about a product or service. (Wyzowl, 2026)
• 92% planned to spend the same or more on video marketing in 2026. (Wyzowl, 2026)

Platform-scale evidence statistics

• More than 13 million videos were examined for Wistia’s 2026 report. (Wistia, 2026)
• 79 million hours of viewing data were analyzed. (Wistia, 2026)
• More than 900 professionals participated in the accompanying survey. (Wistia, 2026)
• More than one third of surveyed teams already used AI in their video workflow. (Wistia, 2026)
• Nearly one quarter planned to begin using AI in video workflows. (Wistia, 2026)
• More than half planned to increase AI investment during 2026. (Wistia, 2026)

Marketing format context statistics

• 86.4% of marketing teams used AI in at least a few areas. (HubSpot, 2026)
• 37.2% used AI extensively for media creation. (HubSpot, 2026)
• 37.7% used AI occasionally for media creation. (HubSpot, 2026)
• 48.6% identified short-form video as a highest-ROI media format. (HubSpot, 2026)
• 28.6% identified long-form video as a highest-ROI format. (HubSpot, 2026)
• 25.1% identified live-streaming video as a highest-ROI format. (HubSpot, 2026)

What the current evidence shows

• Evidence available through September 10, 2026 shows strong AI adoption among surveyed video creators and marketers, but sample sizes and populations differ substantially.
• Most AI use is assistance within production—editing, effects, thumbnails, music and voiceovers—not necessarily end-to-end synthetic video generation.
• Reported time savings, engagement and sponsorship gains are self-reported associations; they do not prove AI alone caused better performance.
• General video ROI benchmarks provide market context but should not be attributed specifically to AI-created video.
• For current planning, teams should measure production time, quality, completion, engagement, trust and conversion separately rather than treating output volume as success.

In summary

Methodology note

This is a secondary synthesis of original-publisher research. Toolfountain did not conduct the underlying studies. Each statistic records its publisher, URL, publication date, evidence period, geography, sample population, methodology context, and verification date. Survey findings are not treated as causal measurements, and forecasts remain distinct from observed results.

Primary Sources

• How Creators Use AI Video Tools Across Platforms — Adobe Express (2026). 384 people who create video content
• Video Marketing Statistics 2026 — Wyzowl (2026). 266 unique marketing-professional and online-consumer respondents, routed to relevant questions
• State of Video in 2026 — Wistia (2026). More than 900 professionals plus over 13 million videos and 79 million hours of viewing data
• 2026 State of Marketing — HubSpot (2026). More than 1,500 B2B and B2C marketers

Written by

Wisdom Dabit

Software researcher and B2B technology writer covering AI tools, software buying decisions, pricing, and evidence-led digital work.

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