Global Artificial Intelligence (AI) for Surveillance and Security Market Ecosystem by Components; by Product, Parts & devices; by Services & Solutions; by Technology; by Deployment; by region; by End Users (Logistics, Healthcare, Automotive, Retail, BFSI, Defence, Aerospace, Oil & Gas, Others)

The surveillance and security industry has seen new and advanced solutions with the emergence of Artificial intelligence (AI) for organizations in different industry verticals. The entire surveillance and security industry are in a state of revamp in term of surveillance security, and AI is anticipated to impact the video surveillance market in a big way soon. AI has improved the picture entirely through real-time monitoring of video footages with the smart analysis of how security incidents can possibly occur and the requirements for preventing them from occurring. Numerous big IT merchants have come up with AI solutions that can detect unattended objects like bags in airports and public spaces, thereby enabling security agencies to act before it’s too late.

Similarly, AI-enabled surveillance solutions can monitor people moving around in retail stores and identify those who might engage in theft. CCTV monitoring is dependent on human supervision.

Human operators tend to skip crucial security clues at times, which can lead to terrible outcomes for an organization. Fatigue is another issue of why people can’t keep a regular eye on video footage. The advantage of AI for surveillance and the security ecosystem is that machines can always be trusted to be accurate and they make up for human deficiencies. AI for surveillance and security ecosystem ensures that no detail, no information, and certainly no threat go undetected, which guarantees the security of an organization.

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According to AllTheResearch, the global Artificial Intelligence (AI) for surveillance and security market will see substantial growth by USD 4.46 billion in 2023. The Artificial Intelligence (AI) for surveillance and security market is expanding at a faster rate to a wider range of countries. At least 43% of 176 countries are actively using Artificial Intelligence (AI) for surveillance and security. This includes smart city/safe city platforms, facial recognition systems, and smart policing. Software companies like Avigilon Control Center (ACC), Avigilon Access Control Manager (ACM), Hitachi Video Management Platform (VMP), Dell Technologies IoT Solution for Surveillance, Eagle Eye Cloud VMS, and DMI EndZone are providing various AI for surveillance and security  solution and platforms for different camera manufactures like Manufacturers Axis, Milestone, Vivotek, QNAP, Optica, Mobotix, ACTi, Arecont Vision, Avigilon, Bosch, Canon, Cisco, and Extreme CCTV.

Ecosystem Snapshot: Artificial Intelligence (AI) for Surveillance and Security Market

The major driver for this market is the rising public concern for safety and security due to increasing incidences of robberies, terrorist attacks, and other crimes, which have driven the need for video surveillance systems and video security systems. Video surveillance and security systems help in monitoring and recording the behavior and activities of people in the field of view of a camera. These surveillance and security systems are being rapidly implemented at airports, schools, office buildings, public places, and so on. Governments in various countries have mandated the implementation of surveillance systems for the protection of public places and critical infrastructure, owing to the rising focus on security issues.

But video surveillance and security system are operated in private and public areas, which is opposed by many. Video surveillance and security system is used where the need for security is of utmost importance. These are places like airports, highways, parking lots, parks, transportation platforms, retail stores, financial and educational institutions, and offices. Video surveillance and security is often considered a violation of privacy and is opposed by several civil groups and activists. The main concern of these groups and activists is how the video might be used or misused. Governments and private sector organizations should take necessary steps to lower the impact of video surveillance and security systems on the privacy of people, by making specific guidelines.

Artificial Intelligence (AI) for surveillance and security Ecosystem Market Segmentation

Components	Product, Parts & devices	Services & Solutions	Technology	Deployment	End Use
Processors	Smartphones and Tablets	Solutions	Machine Learning	cloud	Logistics
Memory	cameras	Services	Deep Learning	on-premise	Healthcare
Storage	biometric		NLP		Transportation
FPGA	Others		Computer Vision		Automotive
ASIC			Context Awareness		Retail
Modules			Predictive Analytics		BFSI
			Others		Aerospace
					Oil & Gas
					Others

Global Artificial Intelligence (AI) for Surveillance and Security Market Ecosystem

The market for video surveillance and security systems is expected to witness growth in APAC, owing to rising security concerns in APAC countries such as India and China. The governments of China and India have already started investing heavily in video surveillance and security systems due to increased security concerns. The emerging nations are improving their infrastructure and city surveillance and security systems, which is further likely to lead to the high growth of the video surveillance and security system market. The rising demand for video surveillance and video security systems from verticals such as commercial facilities and city surveillance is driving the growth of the market.

China is a key driver of Artificial Intelligence (AI) for surveillance and security system worldwide. Technology linked to Chinese companies like Huawei, Hikvision, Dahua, and ZTE are supplying AI for surveillance and security technology in 63 countries, 36 of which are in China’s Belt and Road Initiative (BRI). Huawei alone is responsible for providing AI surveillance technology to 55 countries worldwide and no other competitor is so close. The next largest non-Chinese supplier of AI surveillance tech is Japan’s NEC Corporation

Not only China but U.S. companies are also working in the space of supplying advanced surveillance and security technology worldwide. AI surveillance technology supplied by the U.S. firms is present in ~32 countries. The most important U.S. companies are IBM, Palantir, and Cisco.

Market Statistics Glimpse: Artificial Intelligence (AI) for Surveillance and Security Ecosystem

There are many trends that are having an impact on the market forecast. These, when evaluated from a company’s perspective, can drive growth. Our numerous consulting projects have generated sizeable synergies across all regions and all sizes of companies.

Major Players Operating in the Global Artificial Intelligence (AI) for Surveillance and Security Market Ecosystem are as follows:

Company	Ecosystem Positioning	Total Revenue	Industry	Region
Axis Communication	Product Provider	$10.3 billion	Video surveillance	Global
Hanwha Techwin	Product Provider	$20.1 Billion	Video surveillance	Global
Panasonic	Product Provider	$6.9 Billion	Electronics	Global
Bosch	Product Provider	$ 86.97 Billion	Electronics	Global
Hikvision	Product Provider	$1.3Billion	Technology	Global

 

Very few markets have interconnectivity with other markets like AI. Our Interconnectivity module focuses on the key nodes of heterogenous markets in detail. Data analytics, Cloud Logistics, Machine learning, and computer vision markets are some of our key researched markets.

Artificial Intelligence (AI) for Surveillance and Security Market Ecosystem Major Interconnectivities

Global Artificial Intelligence (AI) for Surveillance and Security Market Ecosystem Key Trends:

Trends	Components	Product, Parts & devices	Services & Solutions	Technology	End-Use	Impact
Motion sensors in a network video recorder, along with perfecting the surveillance systems in retail	ASIC		Solution		Retail	0.57%
The combination of AI and deep learning algorithms, along with CCTV surveillance, helps detect and understand detailed attributes about people, objects, and vehicles monitored by surveillance cameras		Camera		Deep learning		0.48%
Using AI in weapons to make key attack decisions: AI, machine learning, and computer vision algorithms to detect and classify and track objects seen in full-motion video captured by drones and other tools of "Intelligence, Surveillance, and Reconnaissance." It's essentially a method of picking out terrorists that could be targeted in drone missile attacks				Machine Learning	Aerospace and defence	0.36%

 

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