US AI in Video Surveillance Market Research Report By Vertical (Commercial, Residential, Infrastructure, Military & Defense, Public Facility, Industrial), By Offering (Hardware, Software, Service), By Deployment Mode (On-premises, Cloud-based) and By Use Cases (Gun Detection, Industrial Temperature Monitoring, Anomaly Detection and Behavior Recognition, Facial Recognition/Person Search, Object Detection and Perimeter Protection, Intrusion Detection and Perimeter Protection, Smoke and Fire Detection, Traffic Flow Analysis/ Accident and Traff

US AI in Video Surveillance Market Overview:

US AI in Video Surveillance Market Size was estimated at 1.47 (USD Billion) in 2023. The US AI in Video Surveillance Market Industry is expected to grow from 1.7 (USD Billion) in 2024 to 8.5 (USD Billion) by 2035. The US AI in Video Surveillance Market CAGR (growth rate) is expected to be around 15.756% during the forecast period (2025 - 2035).

Key US AI in Video Surveillance Market Trends Highlighted

The US AI in Video Surveillance Market is experiencing a significant shift driven by the increasing adoption of advanced technologies to enhance security and safety. Key market drivers include the growing concerns surrounding crime rates and public safety, leading both public and private sectors to invest in AI-driven surveillance solutions. Government initiatives aimed at improving national security and combating unlawful activities are amplifying this trend. Additionally, the use of AI technologies like facial recognition and behavior analysis is becoming more prevalent, allowing for real-time threat detection and situational awareness. There are ample opportunities to be explored in this sector, particularly in integrating AI with existing surveillance infrastructures.

Innovative analytics solutions can help companies and government agencies derive actionable insights from large volumes of video data. This presents a chance for tech companies to develop tailored solutions that meet specific regulatory requirements and user needs, enhancing the overall effectiveness of surveillance systems. Recent trends show a marked increase in the deployment of smart cameras equipped with AI capabilities across various sectors, including transportation, retail, and critical infrastructure. The US healthcare industry is also leveraging AI surveillance to monitor patient safety and compliance with health protocols. Ethical considerations and privacy concerns are leading to the development of more transparent AI models, indicating a growing trend towards responsible AI usage.

As regulations evolve to define the scope and limits of AI in video surveillance, a clear trend emerges towards compliance-focused solutions, emphasizing not just effectiveness but also adherence to ethical standards. This confluence of technology, regulation, and ethical responsibility is shaping the future landscape of the AI in Video Surveillance Market in the US.

Source: Primary Research, Secondary Research, MRFR Database and Analyst Review

US AI in Video Surveillance Market Drivers

Increasing Demand for Public Safety and Security Solutions

The growing focus on public safety and security in the United States drives significant demand for advanced monitoring solutions, such as Artificial Intelligence in Video Surveillance. According to the Federal Bureau of Investigation (FBI), property crimes in the U.S. were reported at approximately 7.2 million incidents in 2020, highlighting the need for enhanced surveillance systems to reduce crime rates. The integration of AI technologies into surveillance systems enables law enforcement agencies to identify and respond to these incidents more effectively.

Major organizations like Hikvision and Axis Communications are at the forefront, developing AI-powered video surveillance solutions that can analyze footage for suspicious behavior and improve response times. As the U.S. government invests in smart city initiatives, the US AI in Video Surveillance Market Industry is poised for sustained growth, driven by the commitment to enhance public safety measures.

Advancements in Technology and Cost Reduction

Technological advancements in Artificial Intelligence and machine learning are making video surveillance systems more efficient and affordable in the U.S. The National Institute of Standards and Technology (NIST) has reported that AI technologies are becoming increasingly scalable, allowing for the widespread implementation of video analytics solutions. With the reduction in hardware costs and improvements in image recognition capabilities, businesses and public institutions can adopt AI-driven surveillance systems with moderate investment. Companies like Cisco and Avigilon are leading the charge in developing innovative AI technologies for video surveillance, which adds to the overall attractiveness of the US AI in Video Surveillance Market Industry.

Regulatory Support for Surveillance Technologies

The support from U.S. regulatory bodies for the adoption of video surveillance technologies is a key driver for market growth. The Department of Homeland Security (DHS) has recognized the importance of video surveillance in national security. With initiatives that promote the adoption of smart surveillance technology for critical infrastructure, DHS aims to mitigate risks associated with security threats. This regulatory backing not only provides funding opportunities but also instills confidence among businesses and public sectors to invest in AI-based surveillance solutions. As a result, the US AI in Video Surveillance Market Industry is witnessing an upward trajectory as organizations seek compliant and effective methods to enhance their security posture.

Heightened Focus on Data Analytics in Security Solutions

Organizations in the U.S. are increasingly leveraging data analytics capabilities in their security operations, leading to the growing appeal of AI-driven video surveillance solutions. The Bureau of Justice Statistics has noted a significant rise in the collection and analysis of crime data, which underscores the need for surveillance systems with robust analytics capabilities. AI systems can process and analyze video footage in real time, generating actionable insights for law enforcement and security personnel. Firms such as Genetec are pioneering advanced analytics combined with video surveillance, facilitating improved decision-making processes. This trend strengthens the US AI in Video Surveillance Market Industry as stakeholders recognize the critical role of data analytics in enhancing safety and security.

US AI in Video Surveillance Market Segment Insights:

AI in Video Surveillance Market Vertical Insights

The US AI in Video Surveillance Market is evolving significantly, with the Vertical segment playing a crucial role in its expansion. This segment is characterized by its diverse applications, catering to a variety of sectors including Commercial, Residential, Infrastructure, Military and Defense, Public Facility, and Industrial environments. The Commercial sector is a notable contributor, as businesses increasingly leverage AI-driven surveillance solutions to enhance security, improve operational efficiency, and protect assets. Simultaneously, the Residential domain is witnessing a surge in smart home technologies that integrate AI video surveillance systems to ensure homeowner safety and convenience. Infrastructure supports the foundational aspects of the economy, with AI in video surveillance increasingly necessary for monitoring critical assets like bridges, roads, and railways, which enhances safety protocols and real-time threat detection.

The Military and Defense sector represents a vital area where advanced surveillance technologies are employed to maintain national security and aid in strategic operations. In the Public Facility sector, AI applications are deployed for crowd management, ensuring safety in areas such as airports, train stations, and other high-traffic venues. The Industrial sector sees significant interest, as AI-enhanced surveillance systems are utilized for monitoring operations, ensuring workplace safety, and protecting against theft or vandalism in manufacturing plants.

Market dynamics are influenced by factors such as rising concerns over public safety and the increasing need for automated security solutions. Innovations in AI and machine learning have propelled the efficiency and effectiveness of video surveillance systems, making them indispensable across various segments. As technology continues to advance, the integration of AI in video surveillance systems is anticipated to reshape security paradigms across the US, enabling organizations to respond promptly to threats and optimize resource management. Overall, the Vertical segment is fundamental to the growth of the US AI in Video Surveillance Market, reflecting the increasing reliance on intelligent systems for security and surveillance needs across diverse environments.

Source: Primary Research, Secondary Research, MRFR Database and Analyst Review

AI in Video Surveillance Market Offering Insights

The US AI in Video Surveillance Market continues to expand significantly, with the Offering segment playing a crucial role in its evolution. This segment encompasses three main areas: Hardware, Software, and Service, each contributing uniquely to market dynamics. Hardware solutions, including advanced cameras and sensors, are essential for ensuring high-quality data collection and analysis, directly influencing surveillance efficiency. The Software aspect includes AI algorithms and machine learning models designed for real-time data processing, allowing for improved threat detection and response capabilities.

Meanwhile, Service offerings, which often incorporate installation, maintenance, and cloud services, provide the necessary support for users to fully leverage AI technologies effectively. The combination of these components is particularly noteworthy as businesses and government agencies in the US seek to enhance their security measures amidst rising concerns over safety and crime. Furthermore, the growing adoption of smart city initiatives and regulatory compliance is accelerating the shift towards more integrated and intelligent video surveillance systems, highlighting the significance of the Offering segment in shaping the future landscape of security solutions in the United States. Overall, the US AI in Video Surveillance Market stands poised for substantial advancements as it continues to innovate and adapt to evolving security needs.

AI in Video Surveillance Market Deployment Mode Insights

The Deployment Mode segment within the US AI in Video Surveillance Market is a critical aspect that significantly influences market dynamics and growth potential. The growing demand for advanced security solutions across various sectors has propelled both On-premises and Cloud-based deployments into the forefront. On-premises solutions typically offer organizations greater control over their data and potentially reduced latency, making them particularly appealing for industries with stringent data security requirements, such as government and finance.

Conversely, Cloud-based deployment is becoming increasingly popular, driven by its flexibility, scalability, and cost-effectiveness, allowing businesses of all sizes to access sophisticated AI-powered surveillance capabilities without substantial upfront investments. Moreover, the advantages of real-time analytics and remote access capabilities offered by cloud solutions align with the growing need for smart and efficient surveillance systems in urban areas. As urbanization and security concerns grow, the demand for robust video surveillance solutions is expected to rise, leading to a favorable outlook for both deployment modes within the overall US AI in Video Surveillance Market. This balance between On-premises and Cloud-based approaches is expected to define the landscape of the industry as organizations continue to seek advanced surveillance technologies that align with their operational needs and security objectives.

AI in Video Surveillance Market Use Cases Insights

The US AI in Video Surveillance Market is evolving rapidly and the Use Cases segment highlights numerous applications that are becoming vital for enhancing safety and security. Gun Detection has emerged as a crucial application, particularly in urban areas, as it aids law enforcement in responding quickly to potential threats. Industrial Temperature Monitoring is of significant importance too, especially in manufacturing facilities, as it helps in preventing hazardous situations by ensuring optimum temperatures. Anomaly Detection and Behavior Recognition play a pivotal role in identifying unusual activities, thereby enhancing security protocols across various sectors. The Facial Recognition and Person Search functionalities have transformed security surveillance, providing accurate identification capabilities that assist in law enforcement and public safety. Essential for safeguarding premises, Object Detection and Perimeter Protection technologies enable proactive monitoring, reducing the risk of unauthorized access. Furthermore, Intrusion Detection and Perimeter Protection systems remain crucial for protecting sensitive environments. Fire and Smoke Detection algorithms are imperative for rapid response in potential fire hazards ensuring safety.

Traffic Flow Analysis, Accident, and Traffic Incident Detection not only enhance road safety but also optimize traffic management systems. Additionally, False Alarm Filtering is vital for reducing unnecessary alerts, improving the efficiency of security personnel. The popularity of Parking Monitoring and Vehicle Identification, along with Numberplate Recognition, underscores the growing need for efficient urban management and enhanced security measures in parking facilities. Collectively, these applications reflect significant advancements in the market and highlight its integral role in ensuring the safety and security landscape in the US.

US AI in Video Surveillance Market Key Players and Competitive Insights:

The US AI in Video Surveillance Market has demonstrated significant growth and innovation, driven by advancements in artificial intelligence and machine learning technologies that enhance security measures. As businesses and organizations increasingly utilize AI-powered surveillance systems for efficiency and safety, the competitive landscape has become increasingly dynamic. Key players within this market are continuously striving to develop advanced products that enable predictive analytics, real-time monitoring, and intelligent threat detection, resulting in a race to achieve market leadership and establish unique selling propositions. This environment necessitates a deep understanding of the competition and evolving consumer preferences, shaping the strategies and operational approaches companies adopt.

Genetec has established a notable presence in the US AI in Video Surveillance Market, effectively positioning itself as a trusted provider of comprehensive security solutions. The company is recognized for its innovative approach to integrating advanced AI capabilities with video surveillance technology, granting end-users enhanced situational awareness and decision-making power. Genetec's strengths lie in its scalable architecture, which allows for seamless integration with existing systems, and its focus on user-friendly interfaces that improve operational efficiency. Additionally, the brand's reputation for delivering robust cybersecurity measures enhances its appeal to organizations keen on safeguarding sensitive data while implementing surveillance systems. Such features enable Genetec to foster strong relationships with clients across various sectors including retail, transportation, and critical infrastructure, positioning it as a competitive force in the US market.

Pelco also plays an important role in the US AI in Video Surveillance Market, renowned for its commitment to providing reliable and intelligent surveillance solutions. The company's product offerings include advanced video management systems and IP-based cameras integrated with AI functionalities that facilitate enhanced monitoring and incident response. Pelco's strength resides in its capability to deliver tailored solutions that meet specific security needs across different industries, including government, commercial, and educational institutions. Furthermore, Pelco has expanded its market reach through strategic mergers and acquisitions, allowing it to enhance its product portfolio and technological capabilities. The focus on continuous improvement and customer-centric solutions not only amplifies its market presence but also underscores its commitment to innovation, keeping pace with the evolving demands of the AI in the video surveillance domain.

Key Companies in the US AI in Video Surveillance Market Include:

• Genetec


• Pelco


• Cisco


• Hanwha Techwin


• IBM


• Axis Communications


• ADT


• Microsoft


• Dahua Technology


• Verint Systems


• Ring


• Nice Systems


• Google


• Amazon


• Hikvision

US AI in Video Surveillance Industry Developments

In the US AI in Video Surveillance Market, significant developments have emerged recently. In October 2023, Microsoft announced enhancements to its security offerings, focusing on improving AI capabilities in video analytics, thereby aligning with industry demands for advanced surveillance solutions. In September 2023, Genetec launched a major update to its Security Center platform, integrating AI features to enable smarter threat detection and response for users. Meanwhile, in August 2023, Pelco expanded its partnership with IBM to enhance cloud-based surveillance solutions, thereby solidifying its position in the market. The market valuation of companies like Axis Communications and Dahua Technology has seen growth, fueled by increased investments in AI technology and a heightened focus on public safety.

Current affairs indicate a surge in demand for intelligent video surveillance solutions across various industries, with a projected market valuation increase, reflecting an annual growth rate of over 20% in the past two years. Notably, in July 2022, Amazon expanded its Ring security camera line, integrating AI functionalities, which further stimulated competition within the sector. The combination of technological advancements and strategic alliances among market leaders signifies a dynamic evolution within the US AI in Video Surveillance Market.

US AI in Video Surveillance Market Segmentation Insights

AI in Video Surveillance Market Vertical Outlook

• Commercial


• Residential


• Infrastructure


• Military & Defense


• Public Facility


• Industrial

AI in Video Surveillance Market Offering Outlook

• Hardware


• Software


• Service

AI in Video Surveillance Market Deployment Mode Outlook

• On-premises


• Cloud-based

AI in Video Surveillance Market Use Cases Outlook

• Gun Detection


• Industrial Temperature Monitoring


• Anomaly Detection and Behavior Recognition


• Facial Recognition/Person Search


• Object Detection and Perimeter Protection


• Intrusion Detection and Perimeter Protection


• Smoke and Fire Detection


• Traffic Flow Analysis/ Accident and Traffic Incident Detection


• False Alarm Filtering


• Parking Monitoring


• Vehicle Identification and Numberplate Recognition

Report Attribute/Metric Source:	Details
MARKET SIZE 2018	1.47 (USD Billion)
MARKET SIZE 2024	1.7 (USD Billion)
MARKET SIZE 2035	8.5 (USD Billion)
COMPOUND ANNUAL GROWTH RATE (CAGR)	15.756% (2025 - 2035)
REPORT COVERAGE	Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
BASE YEAR	2024
MARKET FORECAST PERIOD	2025 - 2035
HISTORICAL DATA	2019 - 2024
MARKET FORECAST UNITS	USD Billion
KEY COMPANIES PROFILED	Genetec, Pelco, Cisco, Hanwha Techwin, IBM, Axis Communications, ADT, Microsoft, Dahua Technology, Verint Systems, Ring, Nice Systems, Google, Amazon, Hikvision
SEGMENTS COVERED	Vertical, Offering, Deployment Mode, Use Cases
KEY MARKET OPPORTUNITIES	Smart city initiatives, Retail theft prevention, Enhanced security analytics, Compliance with regulations, Integration with IoT systems
KEY MARKET DYNAMICS	Rising security concerns, Technological advancements, Regulatory compliance, Cost reduction pressure, Increasing adoption of IoT
COUNTRIES COVERED	US