The video generation market is experiencing explosive growth, with the global generative AI in media and entertainment sector projected to reach $21.2 billion by 2035, up from just $2.24 billion in 2025. This represents a compound annual growth rate of 25.2% over the next decade, signaling that video generation has moved from experimental technology to essential creative infrastructure. Why Is Video Generation Becoming the Fastest-Growing AI Segment? While image generation currently holds the largest market share at 24.7% of the generative AI media market, video generation is the clear growth leader. The video generation segment is expected to expand at the fastest rate during the forecast period, driven by several converging forces. The explosion in video consumption across social media platforms has created unprecedented demand for content. Film studios, digital marketing teams, and independent creators now rely on generative AI tools to produce visual effects, short clips, and animations at a fraction of traditional costs. Generative AI helps make videos cost-effective and reduces editing time significantly, allowing creative teams to iterate faster and produce more content. Major funding rounds underscore investor confidence in this space. Runway secured $308 million in recent funding, Synthesia raised $180 million, and Pika Labs closed an $80 million round, demonstrating sustained momentum across the segment. Video Rebirth, a physics-focused video generation startup, recently closed an $80 million funding round with backing from AMD Ventures and Hyundai, signaling that strategic investors beyond traditional venture capital are betting heavily on video AI. Which Companies Are Leading the Video Generation Race? Several startups have emerged as frontrunners in the video generation space, each taking distinct approaches to the technology. Pika Labs, founded in 2023, became a viral sensation with user-friendly tools that allow creators to generate high-quality videos from text prompts. The startup's rapid community growth and strong funding support highlight its potential to become a dominant creative AI platform. Runway ML, which pivoted to AI in 2022, empowers creators to produce and transform video using text, image, and motion AI tools. Its technology has been used in high-profile creative projects and continues to evolve with new generative AI models, attracting a large community of creators and enterprise customers. Video Rebirth takes a different approach, emphasizing physical realism and fine-grained control for professional use cases. Founded by Dr. Wei Liu, a former Tencent Distinguished Scientist, the company's core system, called Physics Native Attention, is designed to keep motion, lighting, and object interactions consistent with real-world physics. This approach aims to deliver more coherent shadows, movement, and scene continuity, enabling creators to build more consistent, interactive digital environments. How Are Studios and Creators Actually Using Video Generation Tools? - Content Production: Film and television studios use generative AI to create visual effects, short clips, and animations, reducing both production time and costs compared to traditional methods. - Marketing and Advertising: Advertising agencies leverage video generation to create promotional content and social media videos in a fraction of the time required by conventional processes, allowing creative teams to produce more variations quickly. - Game Development: Gaming developers use generative AI to create avatars, characters, landscapes, and engaging storylines, enabling high-quality content creation while reducing development time and expanding games worldwide. - Social Media Content: Independent creators and social platforms use these tools to generate short-form video content at scale, capitalizing on the massive consumption of video content across digital platforms. The advertising and marketing content generation segment currently leads the market with a 21.1% share, reflecting how quickly brands have adopted these tools for promotional purposes. However, the video and film production segment is expected to witness the fastest growth, suggesting that professional studios are increasingly integrating these technologies into their workflows. What Infrastructure Challenges Are Holding Back Faster Adoption? Behind every video generation startup lies a critical but often invisible challenge: access to computing power. Generative video models require enormous amounts of GPU (graphics processing unit) computing resources to train and run. This infrastructure bottleneck has become so significant that specialized companies have emerged to solve it. Andromeda, a compute broker founded in 2023, has become a key player in connecting AI startups with GPU access. The company quietly passed a revenue run rate of $100 million in 2025, up from $50 million the previous year, and now manages tens of thousands of GPUs for notable AI startups including Pika Labs. Andromeda recently raised $60 million at a $1.5 billion valuation from Paradigm, a major venture capital firm, reflecting the critical importance of compute infrastructure to the entire AI video ecosystem. Wil Moushey, Andromeda's CEO, explained the company's vision: "We have the aspiration to enable the global flow of compute, and we think that's going to be a multi-trillion-dollar market. And to do that, we have to be a little bit more clear that we're not this weird compute provider anymore. We're actually building the market infrastructure to solve this dislocation of supply and demand". What Are the Key Market Segments Driving Growth? The generative AI in media and entertainment market breaks down into several distinct segments, each with different growth trajectories. Software platforms currently dominate with a 56.7% market share, providing the accessible tools that creators and studios rely on daily. However, AI models and algorithms are expected to show the fastest growth, suggesting that the underlying technology will become increasingly sophisticated and specialized. By end-user, film and television studios currently hold the largest share at 21.3% of the market, but independent content creators represent the fastest-growing segment. This shift reflects a democratization of professional-grade video creation tools, enabling solo creators and small teams to compete with traditional studios. North America currently dominates the market with 40.6% of global share, but Asia Pacific is expected to be the fastest-growing region between 2026 and 2035. This geographic expansion suggests that video generation adoption is becoming truly global, with emerging markets increasingly investing in creative AI infrastructure. What Challenges Could Slow This Growth? Despite the explosive growth projections, significant challenges remain. Copyright infringement concerns loom large, as generative AI models are often trained on existing creative works without explicit permission. Questions about the authenticity of AI-generated content and the potential replacement of human creative workers have prompted calls for regulatory guidelines governing responsible AI deployment in media and entertainment. These concerns are not merely theoretical. As video generation tools become more capable and accessible, studios and creators face increasing pressure to establish ethical standards and legal frameworks. The industry's ability to address these challenges will likely determine how quickly adoption accelerates and whether the projected $21.2 billion market materializes as expected. The convergence of powerful AI models, accessible software platforms, abundant funding, and growing demand suggests that video generation will continue reshaping creative work across industries. For studios, marketing teams, and independent creators, the question is no longer whether to adopt these tools, but how to do so responsibly and effectively.
