Historically, CCTV was focused on simple surveillance but now use cases have expanded to include disaster monitoring, crowd control, health emergency services alerts, and congestion control in public spaces. The broadening range of use cases and increased adoption is primarily a result of more sophisticated AI software, cheaper computing, and advances in network technology. AI-based surveillance technology is being adopted around the world, the foremost adopter being China.
This report summarises the status and forecasts from the CCTV Application Group found in the Transforma Insights Connected Things IoT forecast. The report provides a description of what is covered in the Application Group, as well as top-level figures from the forecast that provide details on how many connected devices will be installed, the types of communication technology used and the total revenue opportunity. Full details are accessible through the IoT Forecast tool.
The report begins with a description of how CCTV cameras have evolved over the years and how their utilities have changed broadening their use cases. For instance, CCTV is now being used for use cases such as traffic flow monitoring and number plate recognition as well.
It examines key factors that are influencing the development of the CCTV market, including:
This section of the report focuses on how the advancement of technology and integration of CCTV with AI, edge computing, and video analytics are also increasing the number of use cases for CCTV (like in predicting criminal behaviour, based on the past data captured from CCTV cameras).
It also charts the use cases that are enabled by CCTV which are enabled by computer vision, including perimeter monitoring and person detection, suicide prevention in public places, and social distancing monitoring. It then talks about how a large number of CCTV cameras are now monitored by AI, which has facilitated fully automated monitoring with limited requirements for human monitoring. For instance, according to the AIGS (Artificial Intelligence Global Surveillance) index, at least 79 out of 179 countries are using AI-based surveillance technologies for use cases in smart policing, smart cities, and social media surveillance. It also marks the advantages of AI systems over traditional systems and charts how major economies like China, the US, France, Germany and Japan are performing in the field of AI surveillance technology.
This section of the report focuses on how the introduction of CCTV cameras has reduced crimes and law violations in surveillance areas, leading to countries (especially those dealing with a shortage of police force) heavily relying on them. For instance, in South Korea, a 47% reduction in robberies and thefts was observed in the areas with CCTV installed, and a decrease in the fear of crime, while control areas without CCTV cameras did not experience such changes.
This section talks about the primary communication technologies currently used in these devices and how they will fare in the future. For instance, most public CCTV cameras currently rely on Short Range communication technologies (Wi-Fi and ethernet), it is anticipated that in the upcoming years, connected CCTV cameras will become one of the largest application areas for 5G. It also discusses some of the specific features of 5G (including lesser intereference and lower latency), which will make it make it more suitable for CCTV cameras.
This section of the report focuses on the disadvantages of CCTV, which may affect their widespread adoption. Privacy concern is one of the major issues and the report charts how major economies are trying to deal with this issue. For instance, while in Germany, there is widespread opposition to their deployment, other countries like the UK and Canada are trying to strike a balance between the need for surveillance and the privacy rights of the people.
This section of the report lists the reasons behind the rising adoption of CCTV (like concern about the safety of public streets) and charts its adoption across major economies. Some of the leading nations in global surveillance camera deployment include China, India, Russia, the United States, and the United Kingdom. Several ongoing projects in China like the Golden Shield Project, Safe Cities, and SkyNet have placed China at the forefront of video surveillance camera adoption. Additionally, India has witnessed a substantial increase in the proliferation of surveillance cameras, particularly in urban and metro areas, with a notable emphasis on cities like Delhi.
The report also contains some relevant IoT deployments in this application, like the City of New Orleans deploying 400 IP-based cameras to support public safety, which has reduced non-fatal shootings by 28% within one year of deployment in the city.
The key vendors section lists some of the main providers of products and services related to the CCTV market such as Honeywell, Bosch Security, CP Plus, Hikvision, Huawei, Axis Communications, and Dahua Security. The report provides profiles of the various vendors including aspects most relevant to this Application Group, such as product offerings, pricing, financial results, and technology.
In the market forecasts section, we provide a summary of the forecasts from the Transforma Insights IoT Forecast Database:
The report charts the growth in the number of devices which will grow from 479 million
in 2023 to 573 million in 2033.
Transforma Insights forecasts are compiled on a country-by-country basis. This report includes a regional summary, showing splits between Australasia, Greater China, North America, Europe, Japan, Latin America, MENA, Russia & Central Asia, South East Asia, South Korea, India & South Asia, and Sub-Saharan Africa.
Transforma Insights’ IoT forecasts include splits between the various connectivity technologies as follows: 2G, 3G, 4G, 5G mMTC, 5G non-mMTC, LPWA (non-mMTC), Satellite, Short Range, and Other.
This section discusses which technologies will be used in the CCTV application group.
This part of the report discusses the market growth in terms of revenue (module revenue, service wrap revenue, and VAC revenue). Transforma Insights estimates that the revenue in the CCTV Application Group will grow at a CAGR of 2.6%.
