Virtual Influencer Statistics 2026: Market Size and Surveys

Sources checked on October 1, 2026. Each statistic names its publisher, date, sample and what it measures. This update replaces the January 2026 version, which quoted earnings tiers, regional growth rates and platform splits we could not trace to any source; those numbers have been removed (see what we removed).

Virtual influencer statistics at a glance

Virtual influencer market size: five estimates that disagree

Market research firms publish virtual influencer market sizes, but they sell the full reports, so their methods are not public. The latest editions, read on October 1, 2026:

For the full business model behind this, from offers to pricing and client work, see our AI persona business playbook.

What these numbers measure

• Spending on virtual influencers, not their income. The reports split the market by offering (solutions and services), type (human-like avatars and non-human characters) and end use such as fashion, entertainment or travel. None of them measures what a virtual influencer account earns.
• Different definitions. Straits Research defines a virtual influencer as a character made with CGI, animation or AI that represents a brand or personality on social media. Other firms include AI avatars used in live commerce or customer engagement.
• Frequent revisions. Earlier versions of this page quoted Grand View Research's previous edition (USD 6.06 billion in 2024, USD 45.88 billion by 2030). Its current edition values 2025 at USD 11.2 billion, almost double its old 2024 base.
• Wide forecast spread. For 2025 the highest estimate is about 30% above the lowest. The long-range forecasts, for target years from 2033 to 2036, run from USD 110.4 billion to USD 424.8 billion.

If you cite a market size in a pitch or brand deck, name the publisher and edition, and present it as that firm's estimate.

Audience surveys: who follows virtual influencers

The most cited consumer figures come from two online surveys of US respondents by The Influencer Marketing Factory, an influencer marketing agency.

Sources: 2022 survey and 2024 report. Other findings worth knowing:

• Age: in 2022, following averaged about 70% among 18 to 44 year olds, then fell to 51% at ages 45 to 54 and 26% at 55 and over.
• Awareness: in 2024, 21.1% said they were not familiar with virtual influencers at all.
• Categories: in 2024, respondents most often said virtual influencers would be effective at promoting gaming (36%), technology and gadgets (33.5%), beauty and cosmetics (32.7%) and fashion (28.8%).
• Disclosure: in 2024, about 36% said virtual influencers should disclose their AI nature in their profile or bio, the most chosen option.

Why 58% to 53% is not a trend

The two surveys used different age ranges, questions and answer formats, so read them as snapshots of US online respondents, not as a trend or a global adoption rate.

How audiences feel about AI-generated creator content

Billion Dollar Boy, a creator marketing agency, commissioned Censuswide to survey 4,000 nationally representative consumers aged 16 and over, 1,000 creators and 1,000 senior marketers in the UK and US in June and July 2025. Its October 8, 2025 release and November 20, 2025 report summary found:

• 26% of consumers prefer AI-generated creator content to traditional creator content, down from 60% in Billion Dollar Boy's 2023 study. Among 25 to 34 year olds, 40% prefer it.
• 45% of consumers feel confident identifying AI-generated creator content.
• 76% of consumers say they trust virtual influencers for product recommendations. The release does not publish the question wording or scale.
• 57% of consumers say digital twins of creators erode trust, while 85% of creators are open to making one.
• 62% of creators fear more competition from virtual influencers, and 60% admit their AI-assisted content has broken industry rules, often through mislabeling.
• 79% of marketers increased spending on AI-generated creator content in the previous 12 months, and 87% of creators increased their use of generative AI.

The pattern is consistent: brands and creators are adopting AI faster than audiences are warming to it, and unlabeled, low-effort content is what audiences say they reject.

What marketers report in 2026

Influencer Marketing Hub's Influencer Marketing Benchmark Report 2026, published May 4, 2026, surveyed 600+ marketing professionals. Percentages are among respondents who answered each question, and multi-select questions can total more than 100%.

• AI in influencer programs: creator discovery leads at 36.67% of selections, followed by content generation (21.11%), brief development (13.89%), reporting (10.56%) and fraud detection (7.22%). 10.56% say they do not use AI in influencer marketing.
• Budgets: 87.49% expect their influencer marketing budget to increase in 2026, and 5.55% expect a decrease.
• Platforms: 31% included TikTok in their influencer investment plans, the most selected platform.

The 2026 report does not ask about virtual influencers directly, so it measures AI use in influencer marketing in general, not demand for AI characters.

Platform numbers and AI-label rules

• Instagram reached 3 billion monthly active users, Mark Zuckerberg said on September 24, 2025 (Reuters). Meta requires a label on photorealistic video and realistic-sounding audio that was made or altered with AI, and applies an "AI content" label to images it detects (Instagram Help). Since August 31, 2026, profiles that feature an AI-generated person should carry an "AI-generated profile" label; unlabeled profiles Instagram detects can lose eligibility for recommendations.
• TikTok requires creators to label AI-generated or significantly edited content that shows realistic-looking scenes or people, and automatically labels uploads carrying C2PA Content Credentials (TikTok Help). It said it had labeled over 3 billion videos as AI-generated by July 10, 2026, up from over 1.3 billion in November 2025.
• YouTube requires creators to disclose when AI meaningfully alters or generates photorealistic content (YouTube Help), and since May 27, 2026 it labels detected photorealistic AI even when creators do not. Its monetization policies exclude mass-produced AI content and channels whose AI personas present as human experts on health, legal, financial or political topics. More than 1 million channels used YouTube's AI creation tools on an average day in December 2025 (YouTube).

Disclosure rules and laws, with dates

The EU examples are in the Commission's transparency guidelines. In the US, the FTC's maximum civil penalty for rule violations is USD 53,088 per violation (16 CFR 1.98).

What peer-reviewed research says

• Human-likeness matters more than follower count. A 2026 meta-analysis in the Journal of Theoretical and Applied Electronic Commerce Research pooled 186 effect sizes from 76 studies (N = 64,545). Human-likeness raised purchase intention directly and through credibility, engagement and attitudes; follower size showed no moderating effect.
• Sensory claims are a weak spot. Zhou, Yan and Jiang, in the Journal of Marketing (2024), found consumers see virtual influencers as able to see and hear like humans but not to touch, smell or taste, so endorsements built on those senses lowered purchase intention. Focusing on visual or audio qualities reduced the effect.

Documented milestones

• August 2020: IKEA Japan promoted its Harajuku store with virtual model Imma "living" in a store-window apartment for three days (Muse by Clio).
• October 2021: NFT company Dapper Labs acquired Brud, the startup behind Lil Miquela (TechCrunch).
• September 2023: Warner Music Central Europe signed digital character Noonoouri and released her single Dominoes; Warner said AI-assisted technology helped create her singing voice (PA via The Irish News).
• March 2025: H&M said it would create AI "digital twins" of 30 models for some marketing, with the models' permission (BBC).
• August 2025: a Guess advertisement in Vogue's August issue featured an AI-generated model (CNN).

Numbers we removed from this page

These figures appeared in the earlier version or circulate widely, and we could not trace them to a primary source:

• Regional growth rates (such as 44% for Asia Pacific and 39% for North America) and a "40.8% growth from 2024 to 2033" figure that mixed two different reports.
• Earnings tiers for virtual influencers, per-post deal values and per-character income claims.
• A platform "follower distribution" credited to 500+ virtual influencers. Its figures (YouTube 28.7%, Instagram 28.4%, TikTok 20.5%) are 2022 survey answers about where respondents follow them.
• Generation splits and the "65% unlikely to buy", "78% want disclosure" and "52.8% of marketers" figures, none of which had a publisher, date or sample.
• A supposed "FTC March 2025" AI rule with fines of 43,792 dollars and required #AIInfluencer hashtags. The FTC's endorsement guides date from 2023, its maximum civil penalty is now USD 53,088 per violation, and it mandates no specific hashtags.

What the data means for creators

The data supports a narrower claim than most hype: brands are spending on AI-assisted creator content, a real minority of audiences follow virtual characters, and audiences reject low-effort, unlabeled content. Nothing here predicts what a new AI influencer account will earn, so compete on character, consistency and honest disclosure rather than volume.

The AI Influencers course covers that full pipeline: identity and niche selection, face consistency in ComfyUI, motion and voice, multi-platform distribution, monetization and per-platform disclosure. Related reading: best AI influencer niches, building an Instagram AI influencer and the AI Influencers library.

Virtual influencer statistics FAQ