Artificial Intelligence (AI) In Video Surveillance Market 2024 - By Size, Share Analysis, Trends And Growth Forecast By 2033

The AI in video surveillance market size has grown exponentially in recent years. It will grow from $4.64 billion in 2023 to $5.63 billion in 2024 at a compound annual growth rate (CAGR) of 21.2%. The growth in the historic period can be attributed to increasing security threats, advancements in ai and machine learning, demand for real-time monitoring, cost-effective solutions, and integration with IoT devices.

The AI in video surveillance market size is expected to see exponential growth in the next few years. It will grow to $12.04 billion in 2028 at a compound annual growth rate (CAGR) of 20.9%. The growth in the forecast period can be attributed to government regulations, smart city initiatives, remote monitoring, industry-specific applications, and cloud-based solutions. Major trends in the forecast period include edge computing for ai, advanced analytics, cloud-based video surveillance, deep learning algorithms, and real-time alerts and automation.

Market Overview -
Artificial intelligence (AI) in video surveillance refers to the use of AI algorithms and technologies to analyze video data captured by surveillance cameras. These AI-powered systems can automatically detect and recognize objects, people, or activities in the video footage, allowing for more efficient and effective monitoring and analysis of security and surveillance environments.

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Smart City Initiatives Driving Growth Of AI In Video Surveillance Market
The growth in smart city initiatives is expected to propel the growth of artificial intelligence (AI) in the video surveillance market going forward. Smart city initiatives refer to the use of technology, data, and innovation to improve the quality of life, sustainability, and efficiency of urban areas. Smart city initiatives can significantly enhance the capabilities of artificial intelligence (AI) in video surveillance by providing a connected infrastructure and a wealth of data for analysis. For instance, in September 2021, according to the Ministry of Housing and Urban Affairs, an India-based government ministry, as of December 2022, a total of 5,005 projects amounting to $11.161 billion have been completed, while 2,737 projects worth $10.684 billion are in the advanced stage of implementation. Additionally, 1,707 projects worth $4.422 billion were completed in the current year, indicating significant progress in the Smart Cities Mission in India. Therefore, the growth in smart city initiatives is driving the growth of artificial intelligence (AI) in the video surveillance market.

Competitive Landscape -
Major companies operating in the artificial intelligence (ai) in video surveillance market report are Huawei Technologies Co. Ltd., Panasonic Holdings Corporation, Hanwha Group, Honeywell International Inc., Dahua Technology Co. Ltd., NEC Corporation, IntelliVision , ZTE Corporation, Hangzhou Hikvision Digital Technology Co. Ltd., Cisco Meraki, Avigilon Corporation, SenseTime, Genetec Inc., Milestone Systems A/S, CloudWalk Technology Co. Ltd., Eagle Eye Networks, Gorilla Technology, Clarifai, Corsight AI, YITU Tech, Agent Video Intelligence Ltd., Pure Tech Systems, Simshine Intelligent Technology Co.Ltd

Advancing AI In Video Surveillance For Commercial And Industrial Applications With AWS Panorama Appliance
Major companies operating in the artificial intelligence (AI) in the video surveillance market are developing innovative products such as AWS panorama appliances to improve their operations and reduce costs by using existing on-premises cameras for computer vision applications. The AWS Panorama Appliance is a device that allows for the deployment of self-contained computer vision applications at the edge without sending images to the AWS Cloud. For instance, in October 2021, Amazon Web Services, a US-based cloud computing company, launched AWS Panorama Appliance, an edge computing hardware box with integrated AI for analyzing video streams from security cameras and providing analytics insights. The Appliance can run multiple computer vision models against multiple video streams in parallel and is designed for use in commercial and industrial settings, rated for dust and liquid. By integrating with other AWS services, customers can track data from the application over time. The Appliance is integrated with Amazon SageMaker, allowing for the development and deployment of computer vision models.

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Key Segments -
The artificial intelligence (ai) in video surveillance market covered in this report is segmented -
1) By Offering: Hardware, Software, Service
2) By Deployment Mode: On-Premises, Cloud-Based
3) By Use Cases: Gun Detection, Industrial Temperature Monitoring, Anomaly Detection And Behavior Recognition, Facial Recognition Or Person Search, Object Detection And Perimeter Protection, Intrusion Detection And Perimeter Protection, Smoke And Fire Detection, Traffic Flow Analysis Or Accident and Traffic Incident Detection, False Alarm Filtering, Other Use Cases
4) By Vertical: Commercial, Residential, Infrastructure, Military And Defense, Public Facility, Industrial

Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics

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