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Data Insights Artificial intelligence in defence: AI video analytics

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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.

110 innovations will shape the aerospace and defense industry

According to GlobalData’s Technology Foresights, which plots the S-curve for the aerospace and defense industry using innovation intensity models built on over 260,000 patents, there are 110 innovation areas that will shape the future of the industry.

Within the emerging innovation stage, precision imaging drones, satellite image smoothing and AI in trajectory prediction are disruptive technologies that are in the early stages of application and should be tracked closely. Autonomous flight trajectory generation, autonomous mobile bots and aerial imaging are some of the accelerating innovation areas, where adoption has been steadily.

Innovation S-curve for artificial intelligence in the aerospace and defense industry

AI video analytics is a key innovation area in artificial intelligence

AI video analytics involves using AI techniques, such as machine learning and computer vision, to analyze and extract meaningful information from video footage. It utilizes algorithms and models to automatically identify and interpret objects, events, and patterns in video data, enabling applications such as surveillance, object tracking, crowd monitoring, and activity detection. AI video analytics aims to enhance the capabilities of traditional video surveillance systems by providing intelligent insights and real-time alerts.

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 1,840+ companies, spanning technology vendors, established aerospace and defense companies, and up-and-coming start-ups engaged in the development and application of AI video analytics.

Key players in AI video analytics – a disruptive innovation in the aerospace and defense industry

‘Application diversity’ measures the number of applications identified for each patent. It broadly splits companies into either ‘niche’ or ‘diversified’ innovators.  

‘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’. 

Patent volumes related to AI video analytics

Samsung Group, Baidu and Tencent are the leading patent filers in the AI video analytics. Some other key patent filers in the AI video analytics space include International Business Machines (IBM) ADOBE and Intel.

In terms of application diversity Meta Platforms, Samsung Group, and International Business Machines (IBM) are some of the leading innovators. By means of geographic reach, some of the leading patent filers include Enlitic, Illumina, and The Saudi Public Investment Fund.

To further understand the key themes and technologies disrupting the aerospace and defense industry, access GlobalData’s latest thematic research report on Artificial Intelligence (AI) in Defense.

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.