Who Is Leading the VVC Patent Race?
Unique insights into the VVC technology patents landscape and its major players
What is VVC Technology?
Video streaming has become an integral part of our daily lives. From watching movies and TV shows to listening to music and playing games, the rise of streaming services has been incredible, and there are no signs of slowing down. According to ResearchAndMarkets, the global video streaming market is forecast to reach $184.3 billion by 2027.
The technology that makes this all happen is called ‘video codecs’ and is crucial for video compression and quality for streaming platforms. The latest video codec, Versatile Video Coding (VVC) (H.266), represents a significant leap forward compared to its predecessors. Our report highlights the top companies developing high-quality patent portfolios related to VVC codec and related technologies like HEVC (H.265) and AVC (H.264), offering valuable market insights for licensees and licensors in this field.
Why read this report?
As VVC (H.266) technology gains traction, navigating its Standard Essential Patent (SEP) landscape becomes increasingly critical for all organizations operating in this space. This patent landscape is marked by complexity, with multiple patent pools and varying rules across jurisdictions. This report provides strategic insights into competitor portfolios, helping companies make informed IP decisions and stay competitive in the high-resolution video market. Here are some key topics covered:
- Identifying AVC, HEVC and VVC undeclared patents
- A ranking of video codec patent leaders
- SEP licensor and licensee markets across geographies
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How We Identified Undeclared VVC Patents for this Report
- Identification: Using Classification powered by Cipher (machine learning algorithm), IPlytics identifies patents potentially related to the VVC standard that have not been officially declared.
- Validation: Experts review these findings to confirm their relevance to VVC, unrelated patents are removed from training data and classification model is trained on updated data.
- Ownership: Our approach simplifies the identification of patent holders, making it easier to understand “who owns what” within the dynamic VVC patent ecosystem.
Versatile Video Coding (VVC) Technology Landscape
To identify VVC related patents, the IPlytics team has utilized Classification powered by Cipher. The machine learning algorithm uses true positive examples (e.g. pooled patents) and true negative examples of VVC unrelated patents as training data to build a technology landscape.
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