In recent years, the AI CCTV market has seen remarkable growth and innovation, driven by advancements in artificial intelligence (AI), computer vision, and video analytics technologies. AI CCTV, or artificial intelligence closed-circuit television, refers to the integration of AI-powered capabilities into traditional CCTV systems, enabling enhanced video surveillance, real-time monitoring, and intelligent video analysis. One prominent trend in this market is the adoption of AI-powered video analytics for proactive threat detection and incident prevention. These advanced analytics capabilities enable CCTV systems to automatically detect and alert security personnel to suspicious activities, such as unauthorized access, intrusions, or unusual behavior, in real-time, allowing organizations to respond quickly and effectively to security threats.
Another significant trend is the integration of AI-powered facial recognition technology into CCTV systems for identity verification and access control. Facial recognition algorithms analyze live or recorded video footage to identify individuals and match them against a database of known faces, enabling organizations to authenticate and authorize access to secure areas or sensitive information. AI-powered facial recognition technology also offers potential applications in law enforcement, retail, and marketing, allowing organizations to personalize customer experiences, enhance security, and improve operational efficiency.
Furthermore, there is a growing focus on AI-powered object detection and tracking capabilities in the AI CCTV market. Object detection algorithms analyze video streams to identify and track specific objects or vehicles of interest, such as people, vehicles, or packages, in real-time. These capabilities enable organizations to monitor and manage assets, optimize traffic flow, and enhance situational awareness in various environments, including transportation hubs, retail stores, and industrial facilities. AI-powered object detection and tracking also enable organizations to automate surveillance tasks, reduce reliance on manual monitoring, and improve the effectiveness of security operations.
Additionally, the integration of AI-powered behavior analytics into CCTV systems is driving innovation in the AI CCTV market. Behavior analytics algorithms analyze patterns of behavior and movement in video footage to identify anomalies, deviations from normal behavior, or potential security threats. These capabilities enable organizations to detect suspicious activities, such as loitering, vandalism, or theft, and trigger alerts or notifications to security personnel, allowing them to intervene and prevent incidents before they escalate. AI-powered behavior analytics also provide organizations with insights into crowd dynamics, customer behavior, and operational efficiency, enabling them to optimize resource allocation and improve the overall customer experience.
Moreover, the increasing adoption of cloud-based AI CCTV solutions is reshaping the AI CCTV market, enabling organizations to leverage the scalability, flexibility, and accessibility of cloud computing for video surveillance and security applications. Cloud-based AI CCTV solutions offer benefits such as centralized management, remote access, and real-time analytics, allowing organizations to deploy and manage CCTV systems more efficiently and cost-effectively. Cloud-based AI CCTV solutions also enable organizations to store and analyze large volumes of video data, generate actionable insights, and integrate with other cloud-based services and applications, such as video management systems, access control systems, and business intelligence platforms.
Lastly, there is a growing emphasis on privacy and data protection in the AI CCTV market, driven by concerns over the ethical use of AI-powered surveillance technologies and compliance with data privacy regulations such as GDPR and CCPA. Organizations deploying AI CCTV systems are increasingly focused on implementing privacy-enhancing features, such as anonymization, encryption, and access controls, to protect the privacy and confidentiality of individuals captured in video footage. Additionally, organizations are exploring techniques such as edge computing and on-device processing to perform AI-powered video analytics locally, reducing the need to transmit sensitive video data over the network and minimizing privacy risks.
AI CCTV Market Size was valued at USD 15.1 Billion in 2022. The AI CCTV market is projected to grow from USD 17.4 Billion in 2023 to USD 54.0 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 15.20% during the forecast period (2023 - 2032). An increase in the need for technologically sophisticated surveillance systems and an increase in worries about public safety and security, are the key market drivers enhancing the market growth.
Figure 1:AI CCTV Market Size, 2023-2032 (USD Billion)
Offering: Secondary Research, Primary Research, MRFR Database and Analyst Review
Al Surveillance cameras are being used by governments all around the world to help them catch any action that could pose a security danger. There are millions of cameras, but nobody is watching them round-the-clock. But artificial intelligence (Al) has the power to analyse every frame in real time and save millions of lives. To achieve diverse governmental objectives, many nations are implementing cutting-edge Al surveillance technology to map, track, and control individuals. Al's capacity for self-learning is the reason it is having such a big impact. The computer first developed its ability to think critically about interesting objects in the scene. At the moment, it recognises items in the actual world, compares the findings to the accurate annotations (supplied by humans), and works to get better.
Over the forecast period, it is anticipated that the revenue from the worldwide AI CCTV market would increase significantly. This is ascribed to elements like the rise in public security and safety concerns and the desire for technologically sophisticated surveillance systems. The government agencies' increased usage of AI CCTV at traffic signals to detect & identify licence plates on moving or stationary cars also contributes to the market's expansion.
The rising demand for technologically sophisticated surveillance systems is driving the demand for AI CCTV. The AI CCTV Market is anticipated to rise with the use of cutting-edge technology to enhance the quality of photos and videos at traffic signals for detecting and recognising licence plates of moving or stationary cars. AI-based CCTVs have the ability to examine recorded situations, evaluate every frame, and present real-time analysis. It will also invest in improving road infrastructure, collecting and analysing crash data more effectively, and boosting post-incident response effectiveness. During the anticipated period, this aspect is anticipated to further fuel the expansion of the AI CCTV market. Increased usage of AI CCTV by government agencies at traffic lights to identify and detect licence plates on moving or still vehicles spurs market expansion. However, one of the biggest challenges facing the worldwide AI CCTV market is a lack of knowledge regarding cutting-edge solutions. Additionally, the AI CCTV market is anticipated to benefit greatly from the expanding infrastructure sector in Asia-Pacific. Thus, driving the AI CCTV market revenue.
The AI CCTV Market segmentation, based on offering, includes managed hardware (camera modules, monitor, storage, others), software, and services. Software segment dominated the global market in 2022. This is due to reasons including the rise in public safety and security concerns and the desire for technologically sophisticated surveillance systems.
The AI CCTV Market segmentation, based on camera type, includes PTZ camera, dome camera, bullet camera, box camera, and others. Dome Camera segment dominated the global market in 2022. This can be ascribed to the AI dome CCTV camera's world-class features, which enable it to perform far better than other cameras.
The AI CCTV Market segmentation, based on deployment, includes cloud-based and on-premise. Cloud based segment dominated the global market in 2022. This is explained by the rise in demand for AI CCTVs around the world and their dependable implementation using cloud-based storage. It is anticipated that the installation of CCTV systems driven by AI at traffic lights will increase the precision and effectiveness of licence plate recognition, enabling the quicker identification of vehicles of interest like stolen or wanted automobiles.
The AI CCTV Market segmentation, based on end user, includes residential, commercial, and industrial. Commercial segment dominated the AI CCTV Market in 2022. This is a result of the rising business demand for AI CCTV modules in developed and developing nations. Retail, healthcare, banking, and transportation are just a few of the industries using the technology to increase security and boost productivity.
Figure 1: AI CCTV Market, by End User, 2022 & 2032 (USD Billion)
Offering: Secondary Research, Primary Research, MRFR Database and Analyst Review
By region, the study provides the market insights into North America, Europe, Asia-Pacific and Rest of the World. The North America AI CCTV Market dominated this market in 2022 (45.80%). This is due to elements including the rise in public security and safety concerns and the desire for technologically sophisticated surveillance systems. This is further supported by the high rate of AI CCTV equipment adoption in the area, which is motivated by the need to uphold domestic and personal security. Further, the U.S. AI CCTV market held the largest market share, and the Canada AI CCTV market was the fastest growing market in the North America region.
Further, the major countries studied in the market report are The US, Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Figure 2: AI CCTV MARKET SHARE BY REGION 2022 (USD Billion)
Offering: Secondary Research, Primary Research, MRFR Database and Analyst Review
Europe AI CCTV market accounted for the healthy market share in 2022. The increasing use of AI and machine learning in the industrial sector is expected to be a major driver of growth in Europe. Further, the German AI CCTV market held the largest market share, and the U.K AI CCTV market was the fastest growing market in the European region
The Asia Pacific AI CCTV market is expected to register significant growth from 2023 to 2032. This is due to elements including rising public security and safety concerns and rising demand for technologically sophisticated surveillance systems. Moreover, China’s AI CCTV market held the largest market share, and the Indian AI CCTV market was the fastest growing market in the Asia-Pacific region.
Leading market players are investing heavily in research and development in order to expand their product lines, which will help the AI CCTV market, grow even more. Market participants are also undertaking a variety of strategic activities to expand their global footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. To expand and survive in a more competitive and rising market climate, AI CCTV industry must offer cost-effective items.
Manufacturing locally to minimize operational costs is one of the key business tactics used by manufacturers in the global AI CCTV industry to benefit clients and increase the market sector. In recent years, the AI CCTV industry has offered some of the most significant advantages to medicine. Major players in the AI CCTV market, including Axis Communications Ab, Bosch Security Systems GmBH (Robert Bosch GmBH), D-Link Corporation, Eagle Eye Networks, Hangzhou Hikvision Digital Technology Co., Ltd., Hanwha Techwin., Panasonic Corporation, Swann, FLIR Systems, Inc., VIVOTEK INC, are attempting to increase market demand by investing in research and development operations.
Operating as a business in the surveillance systems industry is Panasonic i-PRO Sensing Solutions Co., Ltd. The world leader in cutting-edge sensing technologies in the areas of intelligent surveillance, public safety, and industrial/medical imaging is i-PRO Co., Ltd. i-PRO was founded in 2019 and is based on Panasonic's more than 60 years of innovation. It is a producer of components and devices for the industrial, medical, and security sectors. The business provides hardware, software, and services for medical imaging, security surveillance, and public safety. At the next ISC West 2023 event in November 2023, i-PRO Co. Ltd. will present AI Scene Change Detection, the newest application to its portfolio of edge-based AI analytics tools. The total situational awareness of the area being watched is improved by this new function, which makes use of cutting-edge artificial intelligence technology to identify changes in a surveillance camera's field of view and warn security professionals in real-time.
A network video recording system made by Spot AI is designed to provide a quick and easy solution to deploy video surveillance into the cloud. The company's technology can be set up quickly and easily without the need for IT expertise, and it securely allows users to view, search, and share any video footage from any camera at any operational location in a single web dashboard. This empowers organisations to fully use their video content for operational and safety purposes. Spot AI recently completed a $40 million fundraising round. The business intends to utilise the money to improve its cutting-edge technology even further, with the goal of making CCTV security cameras smarter and more capable of spotting possible dangers.
October 2021 With USD 22 million, Spot AI emerges from hiding to create a platform that would allow organisations' basic security videos to yield more intelligence.
North America
Europe
Asia-Pacific
Rest of the World
Middle East
Africa
Latin America
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