Video analytics (world market)
The article tells about the development of the global market for video analytics technologies. The material is included in the review of TAdviser "Video Analytics."
2019-2020: Overview of the global market and forecasts
The global video analytics market shows rapid growth thanks to the constantly declining prices for high-resolution video cameras. Even small and medium-sized businesses are now quite capable of acquiring an autonomous video surveillance system with at least elementary video analytics functions. IP cameras have high resolution and remote access capabilities, both over the Internet and through a distributed corporate network, which is a prerequisite for the operation of video analytics systems.
Prerequisites for growth of video analytics systems and services market
The cost of IP equipment (cameras, switches, storage servers, etc.) is constantly decreasing, which leads to its widespread distribution, and at the same time to the spread of video analytics programs and applications. If ten years ago IP technology for video surveillance was considered expensive, now the total cost of ownership of TCO (Total Cost of Ownership) IP video surveillance systems has been reduced to values that contribute to the rapid distribution of video analytics software and services.
The price-to-performance ratio for IP cameras shows compliance with Moore's Law[1]. The price of high-resolution cameras fell from $3,000-5,000 in 2010 to $600-800 in 2015 and is expected to fall to $80-120 in 2020. Such a sharp change in prices makes it very difficult to predict market growth, since:
- Declining prices cause a rapid and unpredictable growth of the entire video surveillance market, including video analytics systems;
- The forecast of market size becomes difficult, since video cameras occupy a significant market share, and forecasts, as a rule, poorly take into account price changes.
Obstacles to market growth
The main limitation of the growth of the video analytics market is privacy considerations. This forces vendors to sell video analytics software complete with other features to meet regulatory limits. For example, the European regulation on the protection of personal data GDPR (General Data Protection Regulation), which entered into force in May 2018, contains policies to limit video surveillance in public places and significantly limits the activities of many vendors.
[2] from the company KiwiSecurity is an example of the customization of video surveillance systems, to comply with their GDPR standards.
Video analytics system vendors are forced to insert such applications into their platforms to comply with GDPR standards. Moreover, in most video analytics platforms, it is forbidden to track people's actions or somehow associate any actions with specific individuals. The video data to be collected must be anonymized. In this regard, problems arise with the use of identification algorithms in video analytics applications. These privacy measures are supported by governments in many countries of the world, which makes it necessary to inform people about the use and control of their personal data.
Growth Opportunities
Applications for facial recognition are always in high demand, including in personal devices, for the purpose of ensuring the security of devices. The facial recognition function allows you to conduct biometric identification personality by comparing facial features from a video stream with faces stored[3]? database.]
With increasing demand for both security applications and other facial recognition applications, these applications remain one of the main drivers of the growth of the video analytics market. Various vertical markets, such as retail, media and entertainment, use video surveillance systems with facial recognition functions.
Growth problems
Intelligent video analytics systems are designed to minimize human participation in video surveillance, and to achieve other advantages, however, a number of problems arise when using them.
Insufficient infrastructure development in many developing countries (street lighting, signs, traffic lights, etc.) limits the effectiveness of video analytics systems. False positives of analytical systems result in high costs for law enforcement agencies to find out whether an incident occurred in reality, as well as doubts about the reliability of video analytics systems.
In densely populated countries such as China or India, public infrastructure is overloaded, and video surveillance requirements are increasing as the population grows. However, video analytics systems in such conditions are most susceptible to failures, even if previously in such situations in other countries they worked successfully.
Market Growth Forecasts
Various analytical companies indicate different growth figures for the video analytics market. This is due to the fact that the market is still unstable, far from saturation, and is very diverse. Different researchers attribute different spectra of applications and services to video analytics, which affects the initial definitions of terms and industries of vertical markets.
According to the forecast of Inkwood Research[4], the video analytics market will grow from $3647 million in 2018 to $20,450 million by 2027, with an average annual growth rate of CAGR of 20.61%. The market will grow most in North America: by almost 80%. Europe will show growth of about 50%, a little less growth - the countries of Southeast Asia. The growth of the video analytics market in the rest of the world (RoW) will not exceed 20% (see figure below).
The largest growth in the market for video analytics systems in 2017-2018 will be observed in retail to trade (retail) - more than 50%, in transport - about 40%, in production - more than 20%, and in - health care about 30%.
The main vendors of the video analytics market, according to Inkwood Research: Cisco, Honeywell, IBM and Axis.
According to the research firm Allied Market Research, the market size of video analytics systems and services in the world in 2023 will be more than $13.38 billion with an average annual growth rate of CAGR of 25.7%[5].
The company McKinsey[6] predicts the growth[7] video analytics applications with an average annual growth rate of CAGR of more than 50% over the next five years, mainly due to IoT applications. IoT Areas such as unmanned vehicles, automated factories and smart cities, as well as remote healthcare, will actively use various video analytics applications.
Fortune Business Insights predicts the growth of the video analytics market from $2488.5 million in 2018 (of which $835.9 million is in North America) to $11965.6 million in 2026, with an average annual growth rate of 22.67% over this period.
According to Statista, the volume of revenue from equipment, software and video analytics services by 2022 will reach $3 billion with a growth rate of CAGR of 19.6%[8]. Market shares by industry are shown in the figure below.
Overview of major vendors
Various analytical companies specify different lists of Top5, Top10, Top 20, etc. video analytics vendors, depending on their preferences, as well as the areas of purpose of vendor products: safety, facial recognition marketing to trade , retail, etc.
A list of more than 100 companies producing video analytics products, such as human detection and counting, facial recognition, vehicles, etc., in various scenarios, is given below. The text contains hyperlinks to websites.
- 3VR, USA (Acquired by Identiv)
- A.I. Tech, Italy
- Accenture, USA
- ACIC, Belgium
- ACTi, Taiwan
- Activate, USA (formerly Aegis AI) startup for recognizing weapon types in video
- Alarm.com, USA
- Arcules, USA
- Agent VI, Israel
- Aimetis, Canada (acquired by Senstar)
- Aitek, Italy
- AllGoVision, India
- Anyvision, Israel
- Avidbeam, USA
- Avigilon, USA (acquired by Motorola)
- Axis, Sweden
- Axxon, Russia
- Boulder AI, USA
- Bosch, Germany
- BrainChip, USA
- Briefcam, Israel (Acquired by Canon)
- Calipsa, United Kingdom
- Camio, USA
- Checkvideo, USA
- Citilog, France (acquired by Axis in 2016)
- Cognimatics, Sweden (acquired by Axis in 2016)
- CyberExtruder, USA
- Davantis, Spain
- Dahua, China
- Deep Data, Yu. Africa
- Deep Glint, China
- Deep North, USA
- Deep Science, USA.
- Deep Sentinel, USA
- Detec, Norway
- Digital Barriers, United Kingdom
- Disney Research, USA
- Emza, Israel
- Macroscop Eocortex (Macroscop), Russia
- EtherSec, United Kingdom
- Flame Analytics, Spain
- FLIR, US (formerly DvTel/IOImage)
- Foxstream, France
- Geutebrück, Germany
- GiantGray, USA, now "Omni AI"
- Gorilla Technology, Taiwan
- MangoDSP, Israel
- Hanwha, Yu. Korea
- Hitachi Vantara, USA
- Hikvision, China
- Honeywell, USA
- IBM, USA
- i2vsys, India
- iCetana, Australia
- Intellivix, Yu.Korea
- Image Intelligence, Australia
- Impower Technologies, China
- IndigoVision, United Kingdom
- InPixal, France
- Instek Digital, Taiwan
- IntelliVision, USA (acquired by Nortek)
- intuVision, USA
- iOmniscient, Australia
- IPS, Germany
- Ipsotek, United Kingdom
- IronYun, Taiwan
- ISS, USA
- Jemez Technology, USA
- Kiwi Security, Austria
- Kogniz, USA
- Kognat, Australia
- Lighthouse, USA
- Magenta, Italy
- Megvii, China
- Microsoft, USA
- Mindtree, India
- Nanit, USA
- NEC, Japan
- Nest, USA.
- Netavis, Germany
- Netcamara, Argentina
- nFlux, USA
- Ngaro, United Kingdom
- NUUO, Taiwan
- Objectvideo, USA
- OpenALPR, USA
- OWAL, USA
- Paravision, USA
- Parking Spotter, Romania
- Pegasus, Brazil
- Prism Skylabs, USA
- Qognify, Israel
- PureTech Systems, USA
- RealNetworks, USA
- RetailFlux, Turkey
- Rhombus, USA
- RIVA, Germany
- Samsung SDS, Korea
- Scylla, USA
- SenseTime, Hong Kong
- Sighthound, USA
- Sightlogix, USA
- Smartervision, Netherlands
- Sony, Japan
- Sprinx Technologies, Italy
- Standard Cognition, USA
- TechnoAware, Italy
- TOP-KEY, Poland
- Umbo CV, Taiwan
- Uncanny Vision, India
- Uniview, China
- Vaion, United Kingdom
- VCA, United Kingdom
- Verint, USA
- Via: sys, Germany
- Videonetics, India
- Viisights, Israel
- Viion Systems Inc., Canada
- Vintra, USA, Spain
- Viseum, United Kingdom
- Visual Tools, Spain
- Vocord, Russia
- Zensors, USA.
There are quite a few vendors of video surveillance systems and video analytics in the world. In many sources you can find lists in which, along with part of the above, there will be other companies. The video analytics industry is developing very rapidly, and new startups are constantly appearing in this area.
Often, various sources give different lists of TorXX vendors of video analytics systems in which various companies are present. This is because, as a rule, such vendors are not exclusively engaged in video analysis, and have a rather wide range of solutions. In addition, many video analytics solutions are "end-to-end" and can be used, for example, for big data analysis and other purposes.
The largest companies offering video analytics products, according to the Quora portal, are IBM, Bosch, Honeywell, Avigilon (acquired by Motorola in 2018). Large companies also need to include IntelliVision (Nortek), which has already placed more than 4 million CCTV cameras in the world[9]
According to Business Wire[10], the following companies are the largest vendors of systems and video analytics software:
- Agent Video Intelligence develops software solutions for video analytics on the basis of open architecture and also the decision for safety, protection and applications of business analytics. The company's products can be delivered both in the "box" version and in the cloud.
- Bosch Security Systems designs, develops and delivers a wide range of security devices for various applications, such as video surveillance, access control, communications, and highly specialized intrusion and fire detection devices.
- IBM offers various types of equipment, software, consulting and infrastructure services, including video surveillance and video analytics, for various industries, such as the automotive industry, health care media and entertainment, mining, minerals retail. trade
- IntelliVision develops various solutions for intelligent video analytics, smart cameras and automated monitoring.
- Honeywell International develops a solution and manufactures system products for production automation and security for various industries and regions of the world.
Market Segments
The video analytics market can be segmented based on the following types:
- components;
- applications;
- deployment models;
- vertical industries;
- geographical distribution.
Video analytics software is an organic part of intelligent video surveillance systems. The volume of the video analytics software market can be from 3 to 10% of the total video surveillance market, depending on the functionality and analytics requirements.
By component type, the global market is segmented into
- software sector
- services sector.
It is expected that the software sector will account for the main market share in the near future until 2025[11].
By application type, the video analytics market is segmented into:
- Crowd detection & management
- face recognition (facial recognition & detection);
- perimeter intrusion detection
- Incident detection
- Traffic & parking management
- other special applications.
Incident recognition applications are the main type of video analytics applications required for various video surveillance applications and will have the largest market share in the near term.
According to the deployment model, the video analytics market is segmented into
- video analytics cloud services market;
- on-premise systems.
For the period until 2025, it is expected that the on-premise mode will have the largest market share. By vertical industry, the market is segmented into
- Transport;
- Smart city;
- Critical infrastructure;
- Corporate sector;
- Trade;
- Others.
Vertical Industries
Transport
Demand for intelligent video surveillance systems in transport is constantly growing faster than other video analytics markets. They are needed to improve public safety, prevent and prevent offences by anti-social elements, reduce the risk of terrorism, and increase the responsibility and involvement of society in the investigation of incidents.
Intelligent video surveillance systems offer a variety of benefits for passengers, carriers and transportation agencies, including:
- Ensuring public responsibility, including confirmation and proof of individual complaints and demands, in order to strengthen work on valid complaints and reject false complaints;
- Suppression of unwanted, anti-social and criminal behavior of individual individuals, increasing the public prestige of public transport and improving user protection;
- Safety of drivers and passengers;
- Protection of property and reduction of losses from vandalism, graffiti and damage to the property of transport infrastructure and passengers;
- Reduce time and improve incident response;
- Improving the quality of passenger service in transport, which leads to increasing the profitability of transport infrastructure.
The volume of the global video surveillance market (including cameras, network and computing infrastructure, storage systems and software) on various types of transport infrastructure is shown in the figure below.
Urban Infrastructure Management
According to Cisco, the size of the urban infrastructure management market (including intelligent video surveillance systems) can have a volume of services and received value from ownership, TVO[12] (Total value of ownership), up to $66 billion.
The market for urban video analytics systems can account for 7-10% of the total volume of the global video analytics system market with an annual growth rate of 25-30%.
Critical infrastructures
Intelligent video surveillance systems, in particular using artificial intelligence, are very important for organizations operating critical infrastructure systems: electricity generation and distribution, water supply, gas supply.
Integrated systems using advanced video analytics and facial recognition techniques are very important for them, which are able to automatically recognize potential threats and important events in a short time (almost in real time), as well as quickly send notifications to relevant personnel, departments and agencies.
Electrical substations are particularly vulnerable to such threats, which usually require increased safety measures, due to their role in the energy distribution process, as well as the nature of the equipment used in them, most of which is dangerous to human life.
Video and analytics manufacturers are developing critical infrastructure market solutions as one of the most important. For example, the Chinese company Dahua offers explosion-proof cameras (protection indicator IP68), in which high-quality optics are used for reliable protection. Such cameras are used for surveillance and analytics in aggressive and corrosive environments of[13], for example, in chemical plants and the oil and gas sector.
The figure below shows the regions of the world that have the highest growth rates of the video analytics market for the critical infrastructure of the economy (green), moderate growth (yellow) and low growth rates in this sector (red). For Russia, source data are not available.
The growth of the Critical[14]Intelligent[15] Systems are shown below.
In 2017, the critical infrastructure security market was estimated at $110 billion. By 2022, it is expected to grow to $153 billion with an average annual growth rate of 6.8%.
The growth of the market is due to tighter state regulation of the security market and an increase in the number of incidents and cyber threats aimed at critical infrastructure enterprises. In the area of critical infrastructure protection, technologies such as the Internet of Things (IoT), big data analytics and video analytics in cloud systems are expected to be actively used.
This market segment will be most actively developed in the countries of Southeast Asia and the Near/Middle East.
Mordor Intelligence provides more modest estimates of the critical infrastructure security market, which is explained by a different approach to classifying services and functions.
The volume of the world video ON analytics market for critical infrastructure facilities is estimated at $250-300 million by 2023 with an annual growth rate of 20-25%.
Corporate sector
In the digital economy, based on the analysis of data and the extraction of useful insights from the collected data, including video data (not only from video surveillance cameras, but also, for example, from corporate video conferences, webinars, training videos, etc.), video analytics is one of the main tools for developing an enterprise development strategy. Enterprises accumulate huge arrays of video data, and therefore it is very important to have appropriate analytical tools to extract the necessary[16] information from them].
Enterprise managers are looking to improve communication between employees and the work environment, so they often wonder how video can improve a company's business performance. For example, they may be interested in:
- Has the quality of videoconferencing improved compared to the previous reporting period?
- Has the efficiency of staff improved when using personal video devices?
- Which parts of the enterprise come most into the field of vision of video cameras?
In order to get answers to these questions, good video analytics tools are required, not limited to spreadsheets and means of calculating people and time. Effective visualization of information is required to make it visible, to get "insight," and accessible to all stakeholders in the business process.
Video analytics is used in many digital technologies of Industry 4.0[17], such as:
- Predictive maintenance of equipment and products;
- Production management systems;
- Integrated Supply Planning
- Internet of Things IoT, of which video cameras are a part;
- Digital doubles of products and production lines;
- Robots assistants, smart robots, robotic processes;
- Artificial intelligence;
- Virtual and augmented reality AR/.VR
Retail
By using the heat map video analytics function in the video surveillance system of a trading enterprise, you can get a lot of useful information, for example, about the number of buyers who linger about certain goods on the shelves. This information can be used to better market goods in demand, as well as to promote goods that escape the attention of buyers. In addition, this helps to better plan retail space, for example, it may be decided to organize closer passages to low-cost places in the trading room so that goods located there are better sold.
The figure below shows an example[18] retail video analytics system user interface].
According to Tractica, Retail is the largest sector of video analytics services and systems, totaling approximately $800 million in 2019 and growing to $1.1 billion in 2022 with an average annual growth rate of about 20%.
Market Dynamics
Various analytical companies in their research show different dynamics of the growth of the video analytics market. For example, Mordor Intelligence shows an average annual market growth of 28.89%[19]while other companies are more modest in their estimates.
Technavio predicts an even higher growth rate in the video analytics market from 2016 to 2021 - up to 31%[20].
According to Technavio, the market is highly fragmented, and many players will work on it. About 38% of the market growth will, according to Technavio, fall on the American continent. Although other analysts believe that the main growth will occur in the Asia-Pacific region, and mainly in China.
So, for example, the Markets and Markets company (see the drawing below) considers that the video surveillance market (which part in 4-10% is the market of video analytics) will be in the lead in the Pacific Rim[21].
The main market growth sector, according to Technavio, will be smart city systems, although many other analysts believe that this will be retail.
According to TAdviser analysts, the reason for such unequal estimates may be the following factors:
- The technological basis of video analytics systems is undergoing large and rapid changes:
- Use of big data analysis systems;
- Growth of resolution and other process parameters of video cameras;
- Use of neural networks (artificial intelligence) for analysis of video images;
- Increased bandwidth of communication networks;
- Development of new network architectures, in particular Edge Computing and placement of analytical systems at the border of the network and directly in the user's devices;
- Increased capabilities of video storage systems, such as increased use SSD of and lower prices for solid-state storage systems.
- The uncertainty of [22]. video analytics systems and markets:
- Complexity in classifying applications;
- Uncertainty of market sectors: some companies may refer to video analytics, for example, BI (Business Intelligence) systems, others separate them into a separate sector of the market, etc. Also, for example, there are discrepancies regarding Smart City systems, which some analysts believe will be the main sector of market growth. Others believe that the main growth sector will be retail, which can be ranked as a Smart City system, and considered a separate sector.
- Some companies may consider that only software platforms belong to the video analytics market, others also take into account the equipment market, including servers and video cameras with video analytics functions;
- Lack of a consensus about whether it is possible to carry to the systems of video analytics cloud services "Video surveillance as service" of VSaaS (Video Surveillance as a Service) which can also provide analytical functions.
However, various market indicators show positive growth in the use of video analytics systems and services and horizontal market growth, that is, the involvement of those who were previously either skeptical of the capabilities of video analytics, or were simply not aware of these opportunities.
For example, a survey of subscribers to SDM Magazine[23] shows that in 2019, interest in investing in video analytics at enterprises is growing markedly compared to previous years.
The results of the survey show an increase in interest in 2019 by 13% in video analytics systems and services compared to 2018. At the same time, the number of people who believe that investment is not growing is declining.
The dynamics of the video surveillance system market, which mainly uses video analytics, is shown in the forecast of the information portal Statista[24] By 2023, the volume of the video surveillance market is expected in the amount of $62-63 billion.
Market Sector Synergies and Synergies (End-to-End Technologies)
Factors of ambiguous estimates of the video analytics market by various analytical companies include also the interaction and synergy of market sectors, the reuse of "end-to-end" ones, which causes ambiguous estimates in forecasting.
With the development of various digital technologies, the so-called "end-to-end digital technologies" (SCR) are becoming increasingly important. These are technologies that can be used in different market segments without special adjustments and modifications.
This approach allows you to achieve high efficiency of new developments, as well as achieve a synergistic effect, which allows, by introducing a particular technology in one market segment, to significantly accelerate the development of other segments.
Such SCRs are defined in the Program for the Development of the Digital Economy of Russia [25]].
In particular, in the SCT "Neurotechnologies and Artificial Intelligence" the following types of subtechnologies are indicated, which include the functions of video analytics:
- computer vision;
- promising methods and technologies in AI;
- advisory systems and intelligent decision support systems.
Three segments of video analytics with end-to-end technologies can be distinguished, which are most widely used in various industry markets.
- Video analytics of non-standard behavior
- Automatic license plate recognition
- Facial Recognition Analytics
In all three segments, the common technology is neural networks, which serve as a common digital platform for creating the functions of the three listed segments.
Video analytics of non-standard behavior
Analysis of non-standard behavior is based on deep learning (Deep Learning) of neural networks, as part of AI artificial intelligence (AI, Artificial Intelligence). [26]
Trained on many different scenes, the neural network recognizes the poses and style of behavior (walking, running, standing still for a certain time, etc.) of people in the field of view of the video camera. This generates a large array of data containing information about the standard behavior of people. As soon as the person in the frame begins to behave in a non-standard way, for example, goes against the flow of other people, waves his hands, loiters aimlessly, or performs other unusual actions, the AI algorithm gives a warning to the operator of the video surveillance system and highlights such a person with a frame on the monitor screen.
In addition to automatic training of the neural network, you can also create software detectors of certain poses and movements, which are developed according to the requirements of certain customers (state or commercial). At the same time, additional training of the neural network is not required.
Neural networks and AI are applicable in all segments of the video surveillance market to extract information about the observed scene and objects present on it from the image stream.
Retail
In Retail to trade , video analysis of non-standard behavior based on neural networks is used to analyze the work of store staff and customer behavior. In the process of such analysis, it is made to identify the most visited places ("heat card"), recognize the faces of individual customers (regular buyers, buyers making purchases for large sums, and possibly suspicious persons) to control the filling of shelves and the correct placement of goods, and identify potentially fraudulent transactions of cashiers.
It is also possible to control the response time of consultants to the appearance of a visitor. All these tasks are aimed at improving the efficiency of the trading enterprise.
The figure below shows a screenshot of the video analytics system in the mall. The frame recognizes non-standard behavior (Loitering), a slipped and fallen person (Slip & Fall), an Object Detection in a Crowd, a painted wall (Graffiti Detection), as well as a recognized person of the buyer (Facial Detection), which is on some kind of customer, or on the contrary, special persons (suspicious ).
Integration of video surveillance systems with POS terminals
With Integration of systems video surveillances POS terminals, it serves to increase business efficiency by synergizing two processes: calculating for goods on the cash register and monitoring using a video surveillance system. This combination of two functions serves to fully analyze incoming data from the POS terminal along with algorithms for determining suspicious behavior.
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