The high cost of deploying an online video platform can be a major challenge for many organizations. Setting up the necessary infrastructure and software requires a substantial initial investment, which includes the cost of high-performance servers, storage devices, content delivery networks, encoding appliances and software licensing. For large enterprises with complex video requirements across multiple sites, the deployment costs can run into several millions of dollars. This high barrier of entry deters many small and medium businesses from adopting video platforms for their communication and collaboration needs. Even for larger companies, the costs act as a deterrent from scaling their video strategy aggressively. With tight budgets and changing economic conditions, convincing stakeholders to allocate sizable capital for a new video system can be difficult.
Market Opportunity- Scope of Video Analytics and Usage of AI/ML
The increased capabilities of online video platforms in video analytics and application of AI/ML techniques present a huge opportunity for companies. Advanced analytics on video content and user behavior data can provide valuable business intelligence. Platforms can now automatically tag videos, detect objects, analyze emotions and extract structured metadata. This unlocked data holds potential for personalizing user experiences, monitoring KPIs, preventing security threats and automating workflows. The integration of ML is also enabling novel features such as auto-generated transcripts, smart video search and personalized video recommendations. As platforms continue advancing analytics using deep learning models trained on massive video datasets, their capabilities will far surpass human ability to comprehend and extract insights from video at scale.
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