The AI in video surveillance market is witnessing significant growth worldwide. The market is driven by advancements in artificial intelligence technology, increasing concerns regarding security and safety, and the growing adoption of video surveillance systems across various industries. AI-based video surveillance solutions offer enhanced monitoring, real-time analytics, and automation, leading to improved security and operational efficiency.
The projected worth of the worldwide AI in video surveillance market in 2023 is USD 5.6 billion, with an estimated increase to USD 16.3 billion by 2028. This market is anticipated to experience a compound annual growth rate (CAGR) of 23.7% from 2023 to 2028. The growth of the market is being driven by the increasing demand for security and surveillance, the rising adoption of AI-powered technologies, and the growing need for data analytics in video surveillance.
The AI in video surveillance market is dominated by North America, followed by Europe and Asia Pacific. North America is the largest market for AI in video surveillance due to the high adoption of advanced technologies and the increasing demand for security solutions in the region.
|World’s Largest Markets
|Country-wise Top Importers
|Country-wise Top Exporters
|Market Size by Country
|United States: USD 3.2 billion
|China: USD 2.8 billion
|Germany: USD 1.5 billion
|United Kingdom: USD 1.2 billion
The following are some of the key drivers, restraints, opportunities, and challenges in the AI in video surveillance market:
Top Key Players
The key players in the AI in video surveillance market include
|By Deployment Mode
|By Use Cases
The AI in video surveillance market is expected to grow at a significant pace in the coming years. The increasing demand for technically advanced surveillance systems, the rise in concerns about public safety and security, and the growing adoption of cloud-based video surveillance solutions are some of the key factors driving the growth of this market.
Here are some of the key benefits of using AI in video surveillance:
Q1. What is AI in video surveillance?
AI in video surveillance refers to the integration of artificial intelligence technologies, such as computer vision and machine learning, into video surveillance systems. It enables automated video analysis, object recognition, and intelligent monitoring capabilities.
Q2. How does AI enhance video surveillance?
AI enhances video surveillance by providing advanced features like facial recognition, behavior analysis, and real-time alerting. It enables proactive threat detection, reduces false alarms, and improves overall security effectiveness.
Q3. Which industries benefit from AI in video surveillance?
Various industries benefit from AI in video surveillance, including retail, transportation, healthcare, banking, and government sectors. It helps in preventing theft, ensuring public safety, monitoring critical infrastructure, and optimizing operations.
Q4. What are the key challenges in implementing AI in video surveillance?
Key challenges include data privacy concerns, high initial costs, shortage of skilled professionals, and legal/regulatory issues associated with AI-based surveillance technologies.
Q5. What are the future prospects for the AI in video surveillance market?
The AI in video surveillance market is expected to witness significant growth in the coming years, driven by technological advancements, increasing security needs, and expanding adoption across industries.