Key Takeaways

  • Nvidia and TCV have extended Higgsfield’s August 2026 Series B round by an undisclosed amount.
  • Higgsfield says it has more than 40 million registered users and is approaching $1 billion in annualized revenue.
  • The investment gives Nvidia another position in a competitive generative-video market that also includes Runway.

Higgsfield has secured new investment from Nvidia and TCV, extending the AI video and image generation startup’s Series B financing as competition intensifies across generative media. The amount of the additional investment was not disclosed.

The extension follows Higgsfield’s August 2026 Series B, which raised $400 million and valued the business at $5.4 billion. Variety reported that Nvidia joined TCV in the latest investment. The deal connects Higgsfield with the dominant supplier of computing infrastructure used to train and operate many generative AI systems, while bringing additional institutional backing to its expansion.

Founded in 2023, Higgsfield has grown unusually quickly even by generative AI standards. The startup reports more than 40 million registered users and says its platform is approaching $1 billion in annualized revenue, according to Bloomberg. Annualized revenue is a run-rate measurement rather than recognized full-year revenue, but the figure still signals substantial demand for tools that can generate commercial video and imagery.

Video generation is expensive. Producing consistent motion, characters and visual styles across sequences requires considerable computing capacity. For Higgsfield, Nvidia’s participation could carry strategic value beyond the undisclosed capital, although the companies have not announced specific infrastructure commitments or commercial terms. For Nvidia, the investment provides exposure to another fast-growing customer category for accelerated computing.

It is not Nvidia’s only wager in the segment. Nvidia has also invested in Runway, which raised $315 million at a $5.3 billion valuation in February 2026. Runway has pursued professional entertainment applications, including an AI collaboration with Lionsgate. Backing multiple developers suggests Nvidia is positioning itself across the generative-video ecosystem rather than choosing a single likely winner.

The generative-video market had approximately 450 model endpoints in 2025, with major releases arriving every four to six weeks, according to research from Artificial Analysis and fal. That release tempo creates pressure on developers to improve output quality while controlling inference costs, reducing generation times and building workflows that customers can use repeatedly.

Demand is spreading beyond experimental creators. Advertising recorded 56% generative-media adoption in 2025, while entertainment, media and creative storytelling reached 43%, according to the same research. Media-company spending on AI is projected to increase from $2.6 billion in 2024 to $12.5 billion in 2029, representing a 37.2% compound annual growth rate.

The addressable market is widening as streaming providers look for faster production, localization and personalization. Mordor Intelligence valued generative AI for OTT at $1.69 billion in 2025 and forecasts it will reach $7.52 billion by 2031, a 24.84% compound annual growth rate. Potential applications include promotional clips, translated creative assets, storyboarding and variations tailored to different audiences.

Adoption brings unresolved questions around training data, likeness rights, attribution and synthetic-media disclosure. Enterprise buyers will increasingly examine whether generated material can be traced, approved and audited. Content Credentials from C2PA offers one approach to recording media provenance, while broader AI risk-management practices can help companies evaluate legal and operational exposure before generated assets enter production.

Higgsfield’s funding extension gives it more resources to compete on product quality, distribution and computing scale. Its reported user base and revenue trajectory provide momentum, but a crowded market can shift quickly when new models arrive. Sustaining this growth will depend on retention, production reliability, rights management, and integrating generated video into established commercial workflows.