Video Content Analytics Market Analysis by Future Growth, Latest Trends And Key players
The Video Content Analytics Market report relies on advanced primary and secondary research methodologies to assess information. The data for the study is gathered from reliable and trustworthy sources, ensuring the authenticity and accuracy of the research study. We also employ qualitative and quantitative analysis to deliver a comprehensive and all-encompassing research study on the global Video Content Analytics market. The report also comprises of SWOT analysis, PESTLE analysis, and Porter’s Five Forces Model analysis, to offer the reader with a complete and all-inclusive study of crucial segments of the global Video Content Analytics market.
Video content analytics finds application in various sectors to analyze, process, and categorize objects and activities captured. The process transforms audio and images into meaningful data. It serves various purposes, and has gained traction in recent years and is used in manufacturing companies, transport facilities and logistics operations.Advanced video content analytics includes video investigations, dashboard visualization, real-time and forensic video data study, which helps law enforcement agencies to keep public as well as private facilities secure by taking action in real-time.
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Top Companies Video Content Analytics Market and Profiled in the Report are:
Axis Communications, Honeywell, Cisco, IBM, Huawei, Avigilon, Intellivision, Aventura Systems, Intelligent Security Systems, and Gorilla Technology.
Key Highlights of Report
In August 2020, AllGoVision Technologies announced the launch of AllSafe, which is a safety-focused video analytics suite that is designed to improve the safety of people at public areas, office buildings, and other public and private facilities amidst the COVID-19 pandemic. It has video analytics features for a world post-COVID such as social distancing, thermal camera integration, no-mask detection, contactless attendance management, and contact tracing. Facial recognition detects faces in real-time on camera, matches them with faces that are already fed into the system, and identifies people. The technology can also identify a person even if there are changes in facial features or expression, less optimal lighting and the face is at different angles from the camera. It is used to prevent retail crime, find missing people, protect law enforcement, and is also used in casinos to recognise the moment a suspicious gambler enters the casino. The cloud segment revenue is expected to register a rapid growth rate during the forecast period as cloud is very scalable, and can also support unlimited number of cameras and providing real-time analyses of incidents. Cloud comprises Software as a Solution (SaaS), which supports on-demand subscription model and unified management of processes. Browse the complete Global Video Content Analytics Market Research Report – Industry Analysis, Size, Share, Growth, Trends @ https://www.emergenresearch.com/industry-report/video-content-analytics-market
Objectives of the Report:
Study of the global Video Content Analytics market size by key regions, types, and applications with reference to historical data (2017-2018) and forecast (2020-2027) Industrial structure analysis of the Video Content Analytics market by identification of various sub-segments Extensive analysis of key market players along with their SWOT analysis Competitive landscape benchmarking Analysis of Video Content Analytics market based on growth trends, futuristic outlook, and contribution to the total growth of the market Analysis of drivers, constraints, opportunities, challenges, and risks in the global Video Content Analytics market Comprehensive analysis of competitive developments such as expansions, agreements, new product launches, and other strategic alliances Check Our Prices@ https://www.emergenresearch.com/select-license/643
Emergen Research has segmented the global video content analytics market on the basis of component, deployment, application, vertical, and region:
Component Outlook (Revenue, USD Billion; 2018–2028) Software Services Deployment Outlook (Revenue, USD Billion; 2018–2028) Cloud On-Premises Application Outlook (Revenue, USD Billion; 2018–2028) Intrusion Management Incident Detection Automatic Number Plate Recognition People/Crowd Counting Facial Recognition Traffic Monitoring Others Vertical Outlook (Revenue, USD Billion; 2018–2028) Critical Infrastructure BFSI City Surveillance Defense and Border Security Hospitality and Entertainment Education Manufacturing Retail Transportation and Logistics Traffic Management On the basis of regional analysis, the market is segmented into the following regions: North America, Latin America, Europe, Asia Pacific, and Middle East & Africa. The market is expected to be dominated by North American nations closely followed by European countries. Asia Pacific is expected to show a significant growth owing to recent advancements and rising investments in the R&D sector.
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