# US AI in Video Surveillance Market > US AI in Video Surveillance Market Size, Share and 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 Traffic Incident Detection, False Alarm Filtering, Parking Monitoring, Vehicle Identification and Numberplate Recognition) - Industry Forecast Till 2035 - **Forecast Period:** 2025 - 2035 - **CAGR:** 15.08% - **2024:** $ 1,600 Million - **2025:** $ 1,841.28 Million - **2035:** $ 7,500 Million - **Key Players:** Hikvision (CN), Dahua Technology (CN), Axis Communications (SE), Bosch Security Systems (DE), Hanwha Techwin (KR), FLIR Systems (US), Avigilon (CA), Genetec (CA), Honeywell (US) **Report ID:** MRFR/SEM/17633-HCR · **Pages:** 200 · **Author:** Nirmit Biswas & Garvit Vyas · **Last Updated:** April 06, 2026 **URL:** https://www.marketresearchfuture.com/reports/us-ai-in-video-surveillance-market-19179 --- ## Market Summary ## **US [AI in Video Surveillance Market](../../../reports/ai-in-video-surveillance-market-12476) 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:** ### **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** ### **AI in Video Surveillance Market Offering****Outlook** ### **AI in Video Surveillance Market Deployment Mode****Outlook** ### **AI in Video Surveillance Market Use Cases****Outlook** ## Market Drivers ### Technological Advancements in AI Rapid advancements in artificial intelligence technologies are significantly influencing the ai in-video-surveillance market. Innovations such as machine learning algorithms and deep learning techniques enhance the ability of surveillance systems to analyze video feeds in real-time. These technologies enable the identification of suspicious activities and the automation of monitoring processes, which can lead to a reduction in operational costs. By 2025, it is estimated that the integration of AI in surveillance systems could improve detection accuracy by over 30%, making them more effective than traditional methods. Consequently, the continuous evolution of AI technologies is likely to drive the adoption of advanced surveillance solutions across various industries. ### Regulatory Compliance and Standards The increasing emphasis on regulatory compliance and industry standards is a significant driver for the ai in-video-surveillance market. Organizations are compelled to adhere to stringent regulations regarding data protection and privacy, which necessitates the implementation of advanced surveillance systems that can ensure compliance. In the US, regulations such as the General Data Protection Regulation (GDPR) and various state-level privacy laws are shaping the market landscape. Companies are investing in ai-driven solutions that not only enhance security but also facilitate compliance with these regulations. This trend is expected to contribute to a market growth rate of approximately 12% annually as businesses seek to align their surveillance practices with legal requirements. ### Increased Investment in Smart Cities The push towards smart city initiatives is driving the demand for ai in-video-surveillance market solutions. As urban areas evolve, the integration of intelligent surveillance systems becomes crucial for managing public safety and infrastructure. Investments in smart city projects are projected to exceed $100 billion by 2025, with a significant portion allocated to advanced surveillance technologies. These systems are designed to monitor traffic, enhance public safety, and improve urban management. The growing focus on creating safer and more efficient urban environments is likely to propel the adoption of ai-driven surveillance solutions, thereby fostering market growth. ### Rising Awareness of Crime Prevention There is a growing awareness of the importance of crime prevention strategies among businesses and communities, which serves as a key driver for the ai in-video-surveillance market. Organizations are increasingly recognizing that proactive surveillance measures can deter criminal activities and enhance overall safety. This awareness is leading to a surge in investments in advanced surveillance technologies, with the market expected to grow at a CAGR of 14% through 2025. As stakeholders prioritize crime prevention, the demand for ai-driven surveillance systems that offer real-time analytics and actionable insights is likely to increase, further stimulating market expansion. ### Growing Demand for Security Solutions The increasing need for enhanced security measures across various sectors is a primary driver for the ai in-video-surveillance market. Organizations are investing heavily in advanced surveillance technologies to mitigate risks associated with theft, vandalism, and other criminal activities. In 2025, the market is projected to reach approximately $10 billion, reflecting a compound annual growth rate (CAGR) of around 15% from previous years. This surge is largely attributed to heightened awareness of security threats and the necessity for real-time monitoring capabilities. As businesses and public institutions prioritize safety, the demand for sophisticated ai-driven surveillance systems is expected to escalate, thereby propelling market growth. ## Future Outlook The ai in-video-surveillance market is projected to grow at a 15.08% CAGR from 2025 to 2035, driven by advancements in AI technology, increasing security concerns, and regulatory compliance. **New opportunities:** - Integration of AI-driven analytics for real-time threat detection - Development of cloud-based surveillance solutions for scalability - Partnerships with IoT providers to enhance smart city initiatives By 2035, the market is expected to achieve substantial growth, driven by innovation and strategic partnerships. ## Segment Insights ### By Vertical: Commercial (Largest) vs. Residential (Fastest-Growing) In the US ai in-video-surveillance market, the commercial segment holds a significant share, driven by the increasing demand for enhanced security measures across various industries. This sector benefits from high investments in technology, leading to advanced surveillance capabilities that cater to the needs of businesses. The residential segment follows closely, showing notable growth as homeowners seek to improve security through smart surveillance solutions and automation. Growth trends indicate that the residential market is emerging as the fastest-growing sector, propelled by the rise in smart home technology and increasing awareness of safety. Additionally, commercial sectors continue to invest in cutting-edge surveillance systems to protect assets and ensure workplace safety, thus maintaining its dominance. The interplay between these segments highlights the evolving demands for video surveillance solutions in the US. Commercial: Dominant vs. Residential: Emerging The commercial segment in the US ai in-video-surveillance market is characterized by a robust presence, encompassing various industries such as retail, finance, and healthcare. Businesses prioritize security and surveillance to protect against theft, vandalism, and other threats, fully embracing advanced technologies like AI and machine learning. In contrast, the residential segment is emerging as a strong competitor, fueled by the growing adoption of smart home devices. Homeowners are increasingly investing in security cameras and connected systems that offer real-time monitoring and alerts. This shift toward home automation creates significant opportunities for innovation within the residential surveillance market, pushing it toward fast growth. ### By Offering: Hardware (Largest) vs. Software (Fastest-Growing) In the US ai in-video-surveillance market, the distribution of market share among the offerings is primarily led by hardware, which holds the largest share due to its critical role in surveillance operations. Hardware encompasses cameras, sensors, and recording devices that are integral to the functioning of ai-driven surveillance systems. In contrast, software solutions have emerged as quick adopters of innovations, reflecting a dynamic shift as they grow rapidly in popularity, thereby catering to diverse operational needs in various sectors. The growth trends in this segment indicate a robust competitiveness fueled by advancements in technology and increasing demand for integrated solutions. The hardware segment continues to thrive as organizations invest in upgrading their infrastructure, while the software segment is gaining momentum through innovations in ai analytics and real-time processing capabilities. This dichotomy illustrates the evolving landscape of the US ai in-video-surveillance market, with hardware remaining foundational yet software rapidly ascending as critical for operational effectiveness. Hardware (Dominant) vs. Software (Emerging) The hardware segment remains dominant in the US ai in-video-surveillance market, characterized by high demand for reliable and advanced surveillance equipment. It includes components such as cameras, digital video recorders, and various sensors, which are essential for robust surveillance systems. With continuous technological advancements, hardware has become more sophisticated, offering higher resolutions and smarter features. On the other hand, the software segment is emerging as a vital force, driven by the integration of ai and machine learning to enhance video analytics, enabling real-time threat detection and improved operational efficiency. This segment is quickly capturing attention as organizations recognize the value of optimizing their surveillance systems with intelligent software, indicating a shift towards a more versatile and data-driven approach in surveillance solutions. ### By Deployment Mode: Cloud-based (Largest) vs. On-premises (Fastest-Growing) In the US ai in-video-surveillance market, the deployment modes exhibit a notable split in market share, where cloud-based solutions have emerged as the largest segment. This popularity is driven by the superior flexibility, scalability, and cost-effectiveness that cloud-based systems provide compared to their on-premises counterparts. On-premises solutions, while smaller in market share, are witnessing increased traction due to organizations' heightened focus on data security and control, attracting a specific clientele. Growth trends indicate that cloud-based deployment is set to dominate, propelled by ongoing digital transformation and the increasing adoption of IoT devices. Conversely, on-premises solutions are not to be overlooked, as their fastest-growing segment status suggests that sectors with stringent security requirements are increasingly adopting them. The demand for hybrid models that combine both deployment modes is also becoming more prominent as organizations seek tailored solutions. Cloud-based (Dominant) vs. On-premises (Emerging) Cloud-based deployment in the US ai in-video-surveillance market is characterized by its dominant market position, offering unparalleled benefits such as remote accessibility, ease of integration, and reduced initial investments. These advantages resonate with businesses seeking innovative solutions and operational efficiency. On the other hand, on-premises deployment is emerging as a favored option for particular sectors that prioritize security and regulatory compliance. Organizations with stringent data protection protocols are increasingly turning to on-premises options to maintain direct control over their surveillance data. This segmentation highlights the diversity of needs among customers, spurring innovation and competition within the market. ### By Use Cases: Facial Recognition/Person Search (Largest) vs. Anomaly Detection and Behavior Recognition (Fastest-Growing) In the US ai in-video-surveillance market, different use cases show varied market share distributions. Facial Recognition/Person Search holds a significant portion of the market, attributed to its wide application in law enforcement and security. In contrast, segments like Anomaly Detection and Behavior Recognition are gaining traction with increasing demand for intelligent analytics in surveillance scenarios. The growth trends for these use cases are driven by advancements in AI technologies and increasing adoption of smart surveillance systems. As concerns over security and safety escalate, technologies such as Facial Recognition/Person Search are becoming commonplace, while emerging fields like Anomaly Detection are benefiting from the need for proactive threat identification and management. This dual focus on established and emerging technologies is shaping the future of the market. Facial Recognition/Person Search (Dominant) vs. Anomaly Detection and Behavior Recognition (Emerging) Facial Recognition/Person Search is a dominant force within the US ai in-video-surveillance market due to its robust applications in security and identification processes, reducing manual monitoring efforts. This technology is widely implemented in public safety initiatives and retail environments to enhance security measures. On the other hand, Anomaly Detection and Behavior Recognition is an emerging segment characterized by its ability to analyze behavioral patterns and identify unusual activities in real-time. Its rapid growth is fueled by increasing needs for intelligent surveillance systems that provide actionable insights, thus marking it as a key player for future market dynamics. The combination of these technologies signifies a shift towards more effective and intelligent security solutions. ## Competitive Benchmarking The ai in-video-surveillance market is characterized by a rapidly evolving competitive landscape, driven by technological advancements and increasing demand for security solutions. Major players such as Hikvision (CN), Axis Communications (SE), and Honeywell (US) are strategically positioning themselves through innovation and partnerships. Hikvision (CN) focuses on enhancing its AI capabilities, while Axis Communications (SE) emphasizes the integration of IoT technologies into its surveillance systems. Honeywell (US) is leveraging its extensive experience in building management systems to offer comprehensive security solutions, thereby shaping a competitive environment that prioritizes technological integration and customer-centric approaches. Key business tactics within this market include localizing manufacturing and optimizing supply chains to enhance operational efficiency. The competitive structure appears moderately fragmented, with several key players exerting influence over market dynamics. This fragmentation allows for diverse offerings, yet the collective strategies of these companies indicate a trend towards consolidation and collaboration, particularly in the realm of AI and data analytics. In October 2025, Hikvision (CN) announced a partnership with a leading AI research institute to develop advanced facial recognition technologies. This collaboration is poised to enhance Hikvision's product offerings, enabling more sophisticated surveillance solutions that could potentially set new industry standards. The strategic importance of this move lies in its potential to address growing concerns over privacy and data security, positioning Hikvision as a leader in responsible AI deployment. In September 2025, Axis Communications (SE) launched a new line of AI-powered cameras designed for smart city applications. This initiative reflects Axis's commitment to innovation and its focus on addressing urban security challenges. By integrating AI capabilities into its products, Axis aims to provide municipalities with tools that enhance public safety while also promoting efficient resource management. This strategic direction not only strengthens Axis's market position but also aligns with broader trends towards smart city development. In November 2025, Honeywell (US) unveiled a new AI-driven analytics platform that integrates with its existing security systems. This platform is designed to provide real-time insights and predictive analytics, enabling organizations to proactively manage security threats. The introduction of this technology underscores Honeywell's strategy to enhance its value proposition through advanced analytics, thereby differentiating itself in a competitive market increasingly focused on data-driven decision-making. As of November 2025, current trends in the ai in-video-surveillance market include a strong emphasis on digitalization, sustainability, and the integration of AI technologies. Strategic alliances are becoming increasingly important, as companies seek to leverage complementary strengths to enhance their offerings. Looking ahead, competitive differentiation is likely to evolve from traditional price-based competition towards a focus on innovation, technological advancement, and supply chain reliability. This shift suggests that companies that prioritize R&D and strategic partnerships will be better positioned to thrive in an increasingly complex market. ## Recent News & 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. ## Report Scope | MARKET SIZE 2024 | 1600.0(USD Million) | | --- | --- | | MARKET SIZE 2025 | 1841.28(USD Million) | | MARKET SIZE 2035 | 7500.0(USD Million) | | COMPOUND ANNUAL GROWTH RATE (CAGR) | 15.08% (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 Million | | Key Companies Profiled | Hikvision (CN), Dahua Technology (CN), Axis Communications (SE), Bosch Security Systems (DE), Hanwha Techwin (KR), FLIR Systems (US), Avigilon (CA), Genetec (CA), Honeywell (US) | | Segments Covered | Vertical, Offering, Deployment Mode, Use Cases | | Key Market Opportunities | Integration of advanced analytics and real-time monitoring enhances security solutions in the ai in-video-surveillance market. | | Key Market Dynamics | Technological advancements drive rapid adoption of AI in video surveillance, enhancing security and operational efficiency. | | Countries Covered | US | ## Frequently Asked Questions **Q: What is the projected market valuation for the US ai in-video-surveillance market by 2035?** A: The projected market valuation for the US ai in-video-surveillance market is $7500.0 Million by 2035. **Q: What was the market valuation for the US ai in-video-surveillance market in 2024?** A: The market valuation for the US ai in-video-surveillance market was $1600.0 Million in 2024. **Q: What is the expected CAGR for the US ai in-video-surveillance market during the forecast period 2025 - 2035?** A: The expected CAGR for the US ai in-video-surveillance market during the forecast period 2025 - 2035 is 15.08%. **Q: What are the key players in the US ai in-video-surveillance market?** A: Key players in the US ai in-video-surveillance market include Hikvision, Dahua Technology, Axis Communications, and Bosch Security Systems. **Q: What is the valuation range for the Commercial segment in the US ai in-video-surveillance market?** A: The valuation range for the Commercial segment in the US ai in-video-surveillance market is $320.0 Million to $1500.0 Million. **Q: How does the valuation of the Residential segment compare to the Infrastructure segment in 2024?** A: In 2024, the Residential segment was valued at $240.0 Million, while the Infrastructure segment was valued at $280.0 Million. **Q: What is the projected valuation for the Service segment by 2035?** A: The projected valuation for the Service segment in the US ai in-video-surveillance market is $2100.0 Million by 2035. **Q: Which use case is expected to have the highest valuation by 2035?** A: By 2035, the Facial Recognition/Person Search use case is expected to have the highest valuation at $1500.0 Million. **Q: What is the valuation for the Cloud-based deployment mode in 2024?** A: The valuation for the Cloud-based deployment mode in 2024 was $800.0 Million. **Q: What impact do current global scenarios have on the US AI in Video Surveillance Market?** A: Current global dynamics are likely influencing investment trends and technological advancements in the market. --- *This Markdown endpoint is provided for AI systems and LLM crawlers. 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