What is the current market size and future outlook for the artificial intelligence (ai) in video surveillance market?
The artificial intelligence (AI) in video surveillance market size has grown exponentially in recent years. It will grow from $5.63 billion in 2024 to $6.81 billion in 2025 at a compound annual growth rate (CAGR) of 21.0%. 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 artificial intelligence (AI) in video surveillance market size is expected to see exponential growth in the next few years. It will grow to $14.62 billion in 2029 at a compound annual growth rate (CAGR) of 21.0%. 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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How has the artificial intelligence (ai) in video surveillance market evolved, and what factors have shaped its growth?
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 July 2024, according to the Office for National Statistics, a UK-based Statistics Authority, total investment in infrastructure by the general government rose by 9.6% in 2022, reaching £26.0 billion ($32.8 billion), with £19.3 billion ($24.4 billion) from central government and £6.7 billion ($8.5 billion) from local government, while transport projects accounted for £22.5 billion ($28.5 billion), constituting 74.2% of the total investment, a 1.1 percentage point increase from the previous year. Therefore, the growth in smart city initiatives is driving the growth of artificial intelligence (AI) in the video surveillance market.
What are the major segments of the artificial intelligence (ai) in video surveillance market?
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
Subsegments:
1) By Hardware: Cameras, Storage Devices, Processors
2) By Software: Video Analytics, Video Management Software (VMS), Facial Recognition Software
3) By Service: Installation And Integration, Maintenance And Support, Consulting Services
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Which companies dominate the artificial intelligence (ai) in video surveillance market?
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
How will evolving trends contribute to the growth of the artificial intelligence (ai) in video surveillance market?
Major companies operating in the artificial intelligence (AI) in the video surveillance market are developing innovative products, such as compact dual-lens cameras, to enhance surveillance capabilities. Compact dual-lens cameras utilize two lenses to provide wide-angle imaging while maintaining a small, discreet form factor, making them ideal for security purposes. For instance, in April 2024, Hangzhou Hikvision Digital Technology Co. Ltd., a China-based video surveillance equipment company, launched the next-generation Turbo HD 8.0, marking a significant advancement in audio-visual integration. This range introduces several advanced security features, including two-way audio for real-time communication, compact dual-lens cameras with 180-degree stitching technology, and Smart Hybrid Light for enhanced night vision. Additionally, the PowerX DVR with AcuSense integrates facial recognition and motion detection, highlighting Hikvision’s commitment to innovation in security solutions.
What are the key regional dynamics of the artificial intelligence (ai) in video surveillance market, and which region leads in market share?
Asia-Pacific was the largest region in the AI in video surveillance market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in video surveillance market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
What Does The Artificial Intelligence (AI) In Video Surveillance Market Report 2025 Offer?
The artificial intelligence (ai) in video surveillance market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
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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