The technology industry continues to be a hotbed of patent innovation. Activity is driven by the advancements in deep learning and neural networks, increasing demand for high-quality video content, growth of video streaming platforms and advancements in computational power that have facilitated the training and deployment of artificial intelligence (AI) models for video coding. Further, AI algorithms can analyze video frames, predict future frames, and encode them with higher compression ratios while preserving visual quality. This has resulted in growing importance of technologies such as deep learning models, motion estimation algorithms, and adaptive encoding techniques in predictive video coding. In the last three years alone, there have been over 1.5 million patents filed and granted in the technology industry, according to GlobalData’s report on Innovation in technology: predictive video coding. Buy the report here.
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However, not all innovations are equal and nor do they follow a constant upward trend. Instead, their evolution takes the form of an S-shaped curve that reflects their typical lifecycle from early emergence to accelerating adoption, before finally stabilizing and reaching maturity.
Identifying where a particular innovation is on this journey, especially those that are in the emerging and accelerating stages, is essential for understanding their current level of adoption and the likely future trajectory and impact they will have.
185+ innovations will shape the technology industry
According to GlobalData’s Technology Foresights, which plots the S-curve for the technology industry using innovation intensity models built on over 1.6 million patents, there are 185+ innovation areas that will shape the future of the industry.
Within the emerging innovation stage, non-volatile flash memory, neuromorphic computing, and haptic feedback interfaces are disruptive technologies that are in the early stages of application and should be tracked closely. RAID transmission error detection, projector-camera system, and optimized vector processing are some of the accelerating innovation areas, where adoption has been steadily increasing. Among maturing innovation areas are resistive touch displays and digital watermarking, which are now well established in the industry.
Innovation S-curve for the technology industry
Predictive video coding is a key innovation area in technology
Predictive video coding is an efficient method of video compression that utilizes encoded frames and motion vectors to anticipate upcoming frames, resulting in reduced file sizes and improved efficiency. This technique is widely employed by popular video streaming platforms such as YouTube and Netflix to enhance streaming services and optimize bandwidth usage.
GlobalData’s analysis also uncovers the companies at the forefront of each innovation area and assesses the potential reach and impact of their patenting activity across different applications and geographies. According to GlobalData, there are 80+ companies, spanning technology vendors, established technology companies, and up-and-coming start-ups engaged in the development and application of predictive video coding.
Key players in predictive video coding – a disruptive innovation in the technology industry
‘Geographic reach’ refers to the number of countries each patent is registered in. It reflects the breadth of geographic application intended, ranging from ‘global’ to ‘local’.
‘Application diversity’ measures the number of applications identified for each patent. It broadly splits companies into either ‘niche’ or ‘diversified’ innovators.
Patent volumes related to predictive video coding
Source: GlobalData Patent Analytics
Samsung Group is the top patent filer in the field of predictive video coding, followed by Sony Group and Canon.
Other prominent patent filers in the space include Dolby Laboratories and Panasonic.
By geographic reach, Hitachi leads the pack, followed by Dolby Laboratories and Toshiba. In terms of application diversity, Samsung Group holds the top position, followed by Hitachi and Canon.
AI innovation in predictive video coding has revolutionized video compression and delivery. By leveraging advanced algorithms and machine learning techniques, AI can predict and encode video frames more efficiently, reducing file sizes while maintaining high-quality playback. This technology addresses the increasing demand for high-resolution video streaming and storage by optimizing bandwidth usage and storage requirements. Predictive video coding also contributes to improved video streaming experiences, reduced bandwidth costs, and enhanced video delivery across different platforms and devices.
To further understand the key themes and technologies disrupting the technology industry, access GlobalData’s latest thematic research report on Technology.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData’s Patent Analytics tracks patent filings and grants from official offices around the world. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
