AI in Surveillance Market Size, Share, and Industry Analysis, By Component (Solutions and Services); By Deployment (Cloud, On-premise, and Hybrid); By Application (Traffic and Road Safety, Law Enforcement, Retail Surveillance, Transportation Terminals, Cybersecurity, Face Detection, Recognition and Alert, Object Tracking, and Others); By End-use (Residential, Retail, Security & Law Enforcement, Transportation & Logistics, BFSI, Healthcare, Aerospace & Defense, Manufacturing, Smart Cities, and Others), and Regional Forecast, 2024-2032

Artificial Intelligence (AI) is revolutionizing the security and surveillance sector, bolstering various security measures with its advanced capabilities. The global surveillance industry is increasingly focusing on cutting-edge AI technology to enhance its effectiveness. Key AI applications in security and surveillance include intelligent video analytics, facial recognition, asset monitoring, task automation, predictive analytics, and biometric recognition. AI plays a pivotal role in optimizing operational efficiency and ensuring high-level security in these areas. Moreover, the future of AI in security and surveillance is poised for significant growth across a range of security applications. Ongoing advancements in technology and the widespread integration of AI into systems, applications, and assets are continually improving the accuracy of security measures, driving the market growth.

According to the Artificial Intelligence Global Surveillance (AIGS) index, approximately 75 out of 176 nations actively utilize AI-based surveillance cameras across the globe. Leading countries in the AI-based surveillance market, such as China and the U.S., supply AI technologies to over 60 countries. Moreover, analysis by Appinventiv indicates that 64 countries utilize AI surveillance systems for facial recognition, 56 countries for smart city/safe city platforms, and 52 countries for smart policing initiatives.

Generative AI Impact on the AI in Surveillance Market

Generative AI is advancing significantly in the realm of video surveillance, introducing new functionalities and enhancing existing systems. A key element of Generative AI is the utilization of generative models, notably including generative adversarial networks (GANs). Generative AI introduces several impactful changes to video surveillance, particularly at the intersection of Generative AI, Vision Transformers (ViTs), and Convolutional Neural Networks (CNNs). This convergence is revolutionizing video surveillance beyond typical security applications by improving synthetic data generation, reducing development time, facilitating natural language interactions, and enhancing accuracy and scene understanding. The precision achieved through generative AI is reshaping the role of video surveillance, extending its utility beyond traditional security concerns to become an essential tool for operational efficiency and comprehensive business intelligence. Companies worldwide are investing in this technology to expand their offerings. For instance,

• February 2024: promiseQ (Berlin-based) secured seven-figure seed funding to accelerate its AI-based video surveillance platform. With the aid of generative AI and computer vision, the company would provide its customers with improved security.


• February 2024: Enkrypt AI secured USD 2.35 million funding to develop its security technology for generative AI systems.

Key Insights

The report covers the following key insights:

• Micro Macro Economic Indicators


• Drivers, Restraints, Trends, and Opportunities


• Business Strategies Adopted by Key Players


• Impact of Generative AI on AI in Surveillance Market


• Consolidated SWOT Analysis of Key Players

Segmentation

Analysis by Deployment

Based on deployment, the market is divided into cloud, on premise, and hybrid deployment models.

The cloud segment dominates the market share, driven by the integration of advanced analytics and artificial intelligence (AI) into video surveillance platforms. This shift to the cloud facilitates extensive automation in video processing tasks such as facial recognition, motion detection, and object classification, harnessing the capabilities of AI. Cloud technology streamlines surveillance operations and enhances analytics algorithms, enabling their application on a large scale to video data from multiple sources.

However, the hybrid segment is projected to experience the highest CAGR over the forecast period. According to the 2023 Cloud Video Surveillance Camera Worldwide Statistics by Eagle Eye Networks, 56% of cloud-based video surveillance cameras are utilized for cloud-only video recording, while 44% employ a combination of cloud and on-premise recording.

Regional Analysis

The AI in surveillance market has been studied across five regions: North America, South America, Europe, the Middle East & Africa, and Asia Pacific.

North America holds the largest share of the market owing to many factors. The region, particularly the U.S., possesses a highly developed technological infrastructure, including robust internet connectivity, widespread adoption of smart devices, and access to cutting-edge AI research and development. Furthermore, the U.S. government has funded various AI initiatives aimed at enhancing surveillance capabilities in defense, law enforcement, and border security.

However, the Asia Pacific region is estimated to grow at the highest CAGR over the forecast period. Countries such as China, Japan, and South Korea are at the forefront of developing and implementing cutting-edge AI technologies in surveillance. Some of the instances include extensive use of facial recognition technology for public security and law enforcement, deployment of AI-powered surveillance cameras in railway stations to enhance safety and security, and implementation of smart city initiatives leveraging AI for surveillance and urban management.

Global Distribution of the AI in Surveillance Market, By Region

• North America – 34%


• Europe – 17%


• Asia Pacific – 30%


• The Middle East and Africa – 8%


• South America – 11%

Key Players Covered

The report provides the profiles of key players such as Genetec, Inc., Hangzhou Hikvision Digital Technology Co., Ltd., Zhejiang Dahua Technology Co., Ltd., Avigilon Corporation (Motorola Solutions), NEC Corporation., Honeywell International Inc., CloudWalk Technology Co. Ltd., and Panasonic Holdings Corporation.

Key Industry Developments

• August 2023: Cloudastructure partnered with Sunell Security for AI surveillance cameras, speakers, and other hardware. The partnership enabled Cloudastructure to prevent supply chain delays and quality surveillance cameras.


• May 2023: Claro Enterprise Solutions with its robust AI video surveillance technology launched AI Video Analytics product (driven by Iveda) to provide an invaluable and innovative tool to improve alertness in public spaces, such as school campuses.