The Video Surveillance Market in 2026: The Camera Is No Longer the Main Event
For decades, the video surveillance industry sold a fairly simple idea: buy a camera, point it at something important, connect it to a recorder, and hope you never need the footage. That model still works. It is just no longer the whole market.
By 2026, video surveillance is becoming less about cameras and more about everything that happens after the camera sees something. Software, artificial intelligence, cloud services, storage, cybersecurity, and system compatibility are increasingly determining what a surveillance system can actually do. The hardware is still there. The lens is still there. The blinking LEDs are still there. But the center of gravity is moving.
According to Omdia, the global market for video management software and cloud video services grew by about 13.3% in 2025. For a mature physical-security sector, that is not background noise. It is a signal.
Ten years ago, buyers tended to ask three questions: Which cameras? Which recorder? How much storage? Now the questions are different. What software runs the system? Can it be upgraded? Can cameras from different vendors work together? Can analytics be added later? Can old hardware survive the next software generation?
Welcome to the part of the surveillance market where the camera is no longer the most interesting component.
AI Has Moved Past the Demo Stage
Artificial intelligence has spent years being marketed as the answer to almost everything. Sometimes it was. Sometimes it was a bounding box drawn around a tree. That is beginning to change.
A global Genetec survey of more than 7,300 physical-security professionals found that end-user interest in AI implementation more than doubled in a year. A separate Dynata study of 2,741 security and IT leaders across ten countries found that 41% of organizations are already actively using AI in physical security, while another 39% are testing or piloting it. That puts roughly 80% of respondents somewhere on the AI adoption curve.
The interesting part is not that everyone suddenly wants an autonomous security brain. They do not. The most common use cases are much more practical. According to the Dynata research, 55% use or test automated alarm verification, 53% work with automated incident descriptions, and 47% use functions such as motion detection, loitering detection, or virtual line crossing.
In other words, the market is not asking AI to run the building. It is asking AI to stop a human operator from reviewing the same meaningless alert 400 times. That may sound less futuristic. It is probably more useful.
The Cloud Did Not Kill the Server
A few years ago, the future of almost every enterprise technology was supposedly “the cloud.” Video surveillance did not get the memo. Large organizations are increasingly choosing hybrid systems instead.
Some processing stays local. Some services move to the cloud. Video archives may remain on local servers. Remote management and selected analytics may run online. The numbers are revealing. Among organizations using fully cloud-based physical-security systems, 57% actively use AI. In hybrid systems, the figure is 38%. In fully local systems, it drops to about 22%.
That does not mean cloud infrastructure magically creates better AI. A more likely explanation is that companies already willing to move workloads to the cloud are also more comfortable adopting other new technologies. Still, the broader point is clear: there is no single architecture winning the market. The future looks less like “everything moves to the cloud” and more like “every workload ends up wherever it makes the most sense.”
Messier, yes. Also more realistic.
Companies Would Really Prefer Not to Replace 100 Cameras
The other major shift is economic. Security buyers are becoming less interested in wholesale replacement projects and more interested in extending the life of existing infrastructure. This is not difficult to understand. Replacing 100 cameras sounds elegant in a PowerPoint deck. In the real world, it means procurement, contractors, downtime, configuration, testing, documentation, and a very expensive week.
In Genetec’s global research, 51% of users said access to new capabilities was a major reason for upgrading existing systems. The retail sector makes the trend even clearer. Among surveyed retailers, 40% said aging physical-security equipment was a serious operational challenge, 33% said the same about aging IT infrastructure, and 54% planned to use existing equipment for new purposes.
That is the key number. The market increasingly wants to modernize around what already works. Not because old equipment is sentimental. Because replacement costs money.
The IP Camera Now Has Two Lifespans
This is where things get more interesting. A traditional camera used to age in an obvious way. The image got worse. The sensor failed. The lens fogged. The housing cracked.
A modern IP camera can look perfectly healthy and still be old. Why? Because it has software.
Inside a network camera are a processor, memory, an operating system, network libraries, encryption components, and increasingly some form of built-in analytics. In other words, an IP camera is now a small computer with a lens attached. And computers age differently from lenses.
For some current cameras, manufacturers already publish software-support dates extending to 2031, 2033, or 2035. That alone says something important about how the market has changed. The warranty is no longer the only clock that matters. There is also the software clock.
A camera can continue producing an excellent image while its operating system is no longer supported, its network stack is outdated, or its processor cannot run newer software. Physically fine. Digitally old. Anyone who has owned a smartphone already knows this story. Now it is happening to surveillance cameras.
Cybersecurity Is Now Part of Camera Aging
The reason software support matters is not just new features. It is security.
An IP camera is a networked device. It talks to servers. It may connect to the internet. It runs libraries that get patched. It supports encryption that changes over time. Manufacturers now regularly update components that most camera buyers never think about.
In 2026, Axis updates included changes to components such as OpenSSH, cURL, and cryptographic functions. That is not the kind of thing that looks exciting on a product box. “Now with updated cURL” is unlikely to move many units. But on a corporate network, it may matter more than another AI detection feature.
This changes the definition of an old camera. A camera may still record beautifully and yet become increasingly difficult to justify on a modern network.
AI Can Make Hardware Age Faster
There is another twist. The more intelligence moves inside the camera, the more the useful life of that intelligence becomes tied to the processor inside the camera.
Today, a device may run a perfectly good object-detection model. Four years from now, a newer model may be more accurate, more efficient, and far more useful. But the old camera may not have enough memory or processing power to run it. The camera itself is still fine. The software has moved on.
This does not make on-camera AI a bad idea. Edge processing has real advantages: lower bandwidth requirements, faster response, and less dependence on central infrastructure. But there is a tradeoff. Software improves faster than camera hardware gets replaced. The more intelligence is permanently tied to a specific processor, the more quickly that device can become functionally outdated.
Compatibility Is Still a Very Expensive Problem
By 2026, more than 35,000 devices had been listed as ONVIF-conformant. That sounds like a success story. It is. It is also evidence of how difficult interoperability remains.
If every camera, recorder, server, and software platform worked perfectly together by default, the industry would not need an ecosystem of tens of thousands of certified devices. The problem gets even more complicated in cloud systems. In a traditional local installation, vendor lock-in may involve cameras, recorders, and management software. In a cloud system, it can also involve storage, remote access, subscriptions, device accounts, and the way recorded data is stored.
So the question is no longer simply: Will this camera connect to this recorder? The better question is: Will this camera still be useful if I want to change the rest of the system five years from now?
That is a much harder question.
Buyers Are Starting to Worry About the Vendor, Not Just the Product
One of the stranger statistics in recent market research may also be one of the most revealing. In Genetec’s survey, 73% of end users said the long-term stability of a manufacturer was an important purchasing factor. Only 45% cited product features. 43% cited price.
Read that again. For many enterprise buyers, the question “Will this company still support us?” now matters more than “What does this product do today?”
That sounds conservative until you remember that enterprise surveillance systems may remain in place for a decade. If the software is abandoned in year three, the bargain camera was not really a bargain.
Buyers are no longer purchasing just hardware. They are purchasing an assumption about future support. And assumptions are notoriously difficult to RMA.
Europe Adds Regulation to the Shopping List
Europe adds another layer. A study covering organizations in the UK, Ireland, Germany, France, and the Netherlands found that 84% consider regulatory requirements when selecting physical-security systems. At the same time, 75% already use or test AI. Only 37%, however, have established governance rules for its use. And just 32% said they could measure the actual economic return from AI.
This is a familiar pattern in enterprise technology. Technology adoption moves first. Governance arrives second. The legal department learns about it third. Everyone schedules a meeting.
What the Market Has Not Proven
For all the excitement, several popular claims still go further than the evidence.
Traditional video recorders are not disappearing. Cloud systems are not replacing local infrastructure across the board. AI is not yet a fully mature standard in every production environment. And there is no good evidence that cameras themselves are physically failing faster than they used to.
What has changed is the definition of obsolescence. A device can now become old because its software is unsupported, its cybersecurity posture is weak, or its processor cannot run current analytics. That is different from a broken camera. But economically, it can lead to the same invoice.
The Numbers That Matter
13.3% - Growth of the global video management software and cloud video market in 2025.
41% - Organizations already actively using AI in physical security.
39% - Organizations still in testing or pilot stages.
55% - Organizations using or evaluating automated alarm verification.
53% - Organizations working with automated incident descriptions.
51% - Users upgrading systems to gain new capabilities.
54% - Retailers planning to use existing equipment for new purposes.
73% - End users who consider the long-term stability of the vendor an important purchasing factor.
35,000+ - Devices listed in the ONVIF interoperability ecosystem.
The Market Is Getting More Complicated, Not Less
The most important thing about video surveillance in 2026 is that no single technology is replacing everything else. Recorders remain. Servers remain. Cloud services are growing. AI runs inside cameras, on servers, and online. Old cameras are being kept in service longer in some systems. In others, software and security requirements are forcing replacement earlier.
The industry is not moving from Point A to Point B. It is fragmenting into a collection of architectures designed around different costs, risks, and priorities. That is not as clean as the future promised in marketing decks. But it is probably closer to reality.
The clearest shift is that software matters more than it used to. Artificial intelligence is increasingly being deployed to reduce manual work. Software-support periods are becoming real procurement criteria. Compatibility is becoming an economic issue, not just a technical checkbox.
And buyers are thinking much harder about what happens after installation. Ten years ago, choosing a surveillance system mostly meant choosing cameras. In 2026, it increasingly means choosing how those cameras will age.