AI in Video Surveillance Market
AI in Video Surveillance Market Size, Share, Competitive Landscape and Trend Analysis Report by Components, Deployment Mode, Application and End-User: Global Opportunity and Industry Forecast (2025-2030)
Report ID:
1046
Industry:
Electronics
Published on:
Sept 2025
AI in Video Surveillance Market Overview
AI in Video Surveillance Market had a value of USD 4.7 Billion in 2024 and expected it to hit USD 11.75 Billion by 2030, with a CAGR of 16.5 % during the forecast period. The AI in Video Surveillance Market is rapidly transforming how we monitor and secure environments by integrating artificial intelligence into traditional camera systems. At its core, AI video surveillance refers to systems that use machine learning and computer vision to analyze video feeds in real time, detecting anomalous activity, identifying people, and distinguishing objects without human intervention. By 2024, more than half of enterprises had used AI, creating a significant need for AI-ready, cloud-hosted solutions that offer scalability, cost savings of 20-50%, and advanced analytics like real-time threat identification, customer flow tracking, and people counting. The growing use of VSaaS (Video Surveillance as a Service), combined with the proliferation of high-resolution IP cameras and increasing use cases such as automated parking systems and improved school security, reflected the industry's shift toward integrated, analytics-driven solutions.
By 2024, artificial intelligence (AI) had already become a nearly global enabler in the U.S. video streaming ecosystem, with over 70% of platforms adopting AI-driven content recommendation and the majority utilizing AI-powered customization. With predictive models reaching up to 85% accuracy, these intelligent systems were producing quantifiable benefits, such as increasing engagement by up to 40%, cutting down on content discovery time by over 50%, and increasing user retention by about 25%. AI in Video Surveillance Market Accessibility was being further increased by AI-enhanced subtitles and localization tools, and user pleasure and revenue were being increased by tailored interfaces and targeted advertising.
Global usage of artificial intelligence (AI) for Video Surveillance had surge, making it a critical component of organizational defense plans by 2024. More than half of companies planned to include Generative AI into their security operations, while 67% had already tried AI-powered products and nearly half were confident in their effectiveness. Approximately 30% of professionals have fully integrated AI into their operations, with another 42% actively exploring or piloting solutions, indicating substantial momentum toward adoption. In practice, AI in Video Surveillance was used most frequently for anomaly detection (57%), malware detection (50.5%), and automated incident response (49%), highlighting its significance in allowing faster threat identification, reduced manual tasks, and increased operational resilience across AI in Video Surveillance Industry.
This extensive analysis by Jadhavar Business Intelligence Pvt Ltd provides consumers with a complete and actionable picture of the Global AI in Video Surveillance Market, including market size, share, trends, and growth estimates from 2024 to 2030. It provides a complete overview of important locations and countries by Components, Deployment Mode, Application and End User. Clients receive comprehensive market dynamics, business tool analysis (PORTER and PESTLE), a Technology roadmap, and regulatory updates. The study also includes country-specific projections, competitive benchmarking, Company profiles, and M&A activity, all of which aid in strategic planning, market entry analysis, and competitor positioning.
AI in Video Surveillance Market Dynamic’s
The dynamics of the AI in video surveillance market in 2024 was shaped by a huge confluence of technology innovation, rising security requirements, and altering regulatory landscapes. One of the most important growth driver of AI in video surveillance in 2024 was the need for operational efficiency and automation in high-traffic locations like airports, schools, hospitals, and smart cities. AI in video surveillance solutions decreased false warnings by up to 90% in certain installations while cutting human monitoring workloads by more than half, allowing security professionals to focus on the most critical threats. Automated video search capabilities speed up forensic investigations, lowering evidence retrieval time from hours to minutes. Furthermore, escalating legal and privacy requirements in North America and Europe prompted suppliers to incorporate privacy-by-design features such as real-time facial blurring and video redaction, boosting public trust and encouraging widespread use.
In 2024, the AI in video surveillance market encountered technical and societal difficulties that slowed adoption. Integration issue was a significant problem, with industry data revealing that more than 40% of organizations struggled to connect AI analytics with traditional CCTV systems, resulting in delays and cost overruns. Another issue was reliability, as AI systems struggled in low-light or busy surroundings, resulting in 15-20% lower item detection accuracy rates compared to controlled conditions. Concerns over surveillance abuse and civil liberties hampered adoption, despite studies showing that more than 50 countries were actively considering or litigating facial recognition in public settings. Furthermore, a shortage of experienced professionals resulted in an implementation gap, with nearly 44% of security teams seeing a lack of AI competency as a barrier to successful deployment.
These limits revealed that, while AI had significant capabilities, its success in 2024 depended heavily on overcoming integration, accuracy, ethical, and talent challenges. Furthermore, a shortage of experienced professionals resulted in an implementation gap, with nearly 44% of security teams seeing a lack of AI competency as a barrier to successful deployment. These limits revealed that, while AI had significant capabilities, its success in 2024 depended heavily on overcoming integration, accuracy, ethical, and talent challenges.
The AI n Video Surveillance market in 2024 was defined by rapid technological breakthroughs and strategic collaboration. Leading companies like as Hikvision, Dahua, and Axis Communications had offered AI-enhanced cameras with on-device edge analytics, reducing reliance on centralized servers. Companies such as Avigilon (Motorola Solutions) and Verkada have improved their AI cloud capabilities, enabling real-time monitoring and scalable storage. Startups like Flock Safety and Knightscope have gained popularity by offering specialized AI solutions for law enforcement and autonomous security robotics. At the same time, there was clear global expansion—Chinese businesses like Huawei and Dahua provided AI surveillance to over 50 countries, while North American and European players focused on privacy-compliant AI, such as real-time video redaction tools.
AI in Video Surveillance Market Segment Analysis
The AI in Video Surveillance Market is segmented into Components, Deployment Mode, Application and End-User.
By Components
Based on Components segment the AI in Video Surveillance Market is segmented into Hardware, Software and Services. Hardware segment had the largest market share of AI in Video Surveillance Market, accounted for 57.8 % of the total market shares in 2024. This dominance arises from AI-enabled cameras, edge devices, and storage systems all play an important role in real-time analytics. The increased use of HD/UHD cameras, edge-based processing, and on-device AI capabilities has cemented hardware as the foundation of surveillance infrastructure, making it the top investment priority for businesses.
By Deployment Mode
Based on Deployment Mode Segment, the AI in Video Surveillance Market is segmented into Cloud-Based, On-Premise. Within the deployment segment, Cloud-Based appears the dominated sub segment, accounted for approximately 61.8 % of total AI in Video Surveillance market share in 2024. This dominance arises from the cloud model's inherent advantages, such as flexibility, remote access, and lower capital outlay. Organizations are rapidly embracing cloud solutions due to their ease of scalability, flexibility in deferring infrastructure investments, and ability to deploy AI updates across remote sites quickly.
AI in Video Surveillance Market Region analysis
North America was the dominated region in the AI video surveillance market in 2024, accounting for 33.6% of the global AI video surveillance market share, thanks to modern infrastructure, stringent security regulations, and widespread government and commercial use. The Asia-Pacific (APAC) region was close behind, accounting for 30% to of the market, thanks to large smart city investments, the urbanization, and strong government-led projects in China, Japan, India, and South Korea. This geographical supremacy reflects how North America capitalizes on its innovation ecosystem and legislative support, whilst APAC benefits from significant public infrastructure investment and rapid digitization of public safety services.
Following the two core zones, Europe's share increased from around 17% owing to rising public safety demands and compliance with severe data protection rules such as GDPR. South America supplied more than 11%, owing to increased infrastructure defense needs and growing use in commercial and public contexts. Meanwhile, the Middle East and Africa (MEA) region contributed 8%, with significant growth in smart city installations and border security applications in countries like the UAE and Saudi Arabia.
AI in Video Surveillance Market Competitive Analysis
The competitive landscape for the AI in Video Surveillance Market in 2024 has been established by a collaboration of global technology leaders. Hangzhou Hikvision Digital Technology company dominate the global AI in video surveillance market in 2024, accounting for 23%. This leadership was based on a wide range of products, including IP and analog cameras, AI-powered deep learning systems, and aggressive global pricing and distribution methods. Hikvision maintains a global presence in 150 countries by consistent R&D investments (~10% of revenue), facial recognition and anomaly detection technology, and active participation in smart city projects. Another prominent competitor was Dahua Technology, which has a 16% market share driven by its expertise in AI analytics and thermal imaging, as well as significant traction in Southeast Asian smart city projects.
In 2024, Axis Communications held around 5% of the market as a result of its high-quality IP cameras and enterprise reliability, while Bosch Security Systems held approximately 4.8% driven by its strong hardware and smart city analytics capabilities. Honeywell, Genetec, Avigilon, Eagle Eye Networks, and Hanwha Vision have a strong presence in North America. Flock Safety, Knightscope, and Solink specialized in license plate recognition, autonomous security, and retail analytics, whilst YITU Technology, i-PRO, and Genetec offered AI research and custom VMS solutions.
AI in Video Surveillance Market Key Players –
Bosch Security Systems
Genetec Inc.
Dahua Technology Co., Ltd.
Axis Communications AB
Avigilon (Motorola Solutions)
Verkada Inc.
Eagle Eye Networks
Flock Safety
Knightscope Inc.
YITU Technology
Hanwha Vision Co., Ltd.
Solink
Frequently Ask Questions –
Who are the major Key players of AI in Video Surveillance Market?
Ans - The Major Key players of AI in Video Surveillance Market are Honeywell International Inc., Bosch Security Systems., i-PRO, Genetec Inc. and Hangzhou Hikvision Digital Technology Co., Ltd.
Which Region accounted highest share of the AI in Video Surveillance Market in 2024?
Ans – North America region accounted highest share of the AI in Video Surveillance Market.
What was the market size of AI in Video Surveillance Market in 2024?
Ans – In 2024, market size of the AI in Video Surveillance Market was USD 4.7 Billion.
Which Segment is expected to lead the market during forecast period?
Ans – Component Segment is the top segment hold the largest share in AI in Video Surveillance Market during forecast period.
What will be the market size of AI in Video Surveillance Market in 2030?
Ans- The market size of AI in Video Surveillance Market in 2030 will be USD 11.75 Billion.