In 2025, video annotation has evolved as a vital requirement for integrating artificial intelligence technology and training computer vision across diverse sectors such as autonomous vehicles, retail, shopping, robotics, medical etc. Precise labeling of raw videos is vital for training AI systems and fine-tuning them to retain accuracy and relevance in real-world applications.
The [data annotation and labeling market size was USD 0.8 billion in 2022 and may reach 33.2% CAGR by 2027. The deployment of AI-enabled systems shows remarkable expansion and the fundamental role is played by annotated data in training machine learning models.
The blog explores everything about video labeling, its types, processes, industries, a list of top video annotation and labeling companies 2025, and why choosing the video annotation partner is key to success.