Enhancing Security: Exploring the Artificial Intelligence (AI) in Video Surveillance Market, Market Share Analysis, and Future Outlook

The Business Research Company has released its latest global market reports, covering insights for 2024 and offering projections up to 2033.

The Business Research Company presents an extensive market research report on the Artificial Intelligence (AI) In Video Surveillance Global Market Report 2024, furnishing businesses with a competitive edge through a detailed examination of the market structure, encompassing estimates for various segments and sub-segments.

Furthermore, the report highlights on emerging trends, significant drivers, challenges, and opportunities, providing all necessary data for thriving in the industry. This report market research offers a comprehensive perspective, including an in-depth analysis of the present and future scenarios within the industry.

Market Sizing:

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.

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Key Market Players:

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

Market Drivers:

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.

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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

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