Video generation sits roughly 18 months behind image generation on the capability curve. The field encompasses **text-to-video** (prompt → clip), **image-to-video** (still frame → animation), **video-to-video** (stylise existing footage), and **controllable video** (with depth maps, pose sequences, or identity references). The compute cost is roughly 24–60× text-to-image per second of output, which is why production systems typically output 5–10 second clips at 720–1080p rather than full-length video.
The 2026 vendor landscape: **OpenAI Sora 2** and **Google Veo 3** lead cinematic coherence, **Runway Gen-4** leads creative control and editor workflow, **Kuaishou Kling 2.0** leads in Chinese-character and anime aesthetics, **MiniMax Hailuo** and **Luma Ray 2** compete on speed-per-dollar. Self-hosting is not yet practical at frontier quality — open-weight video models (CogVideoX, Mochi, LTX-Video) trail commercial systems by a meaningful margin.
Enterprise APAC adoption is strongest in **e-commerce** (product-in-use clips without a shoot), **training-content localisation** (generate the visuals once, regenerate the voiceover per market), and **storyboard animatics** replacing pre-viz in marketing production. The legal surface is wider than image generation: on top of training-data questions, video raises deepfake risk, likeness-rights, and accessibility captioning obligations that differ sharply between Singapore, Japan, and China.
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