How AI Video Surveillance Systems Are Changing U.S. Security

Security has always been about visibility. But in 2025, visibility alone is no longer enough. Across the United States, schools, retailers, hospitals, and enterprises are adopting AI-powered video surveillance systems that go beyond simply recording footage. These platforms detect threats in real time, analyze patterns of behavior, and provide actionable insights — helping organizations stay one step ahead.

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Why AI Matters in Surveillance

Traditional camera systems overwhelm operators with hours of video that rarely get reviewed. Artificial intelligence flips this model: instead of relying solely on human eyes, AI algorithms automatically flag unusual movement, identify objects of concern, or even predict risks before they escalate.

For U.S. organizations facing rising concerns about workplace violence, theft, and liability, this shift is not just technological — it’s operational. AI systems promise to lower costs, reduce response times, and improve safety without adding more staff.

The global AI in video surveillance market is projected to grow from USD 6.51 billion in 2024 to USD 28.76 billion by 2030, at a CAGR of 30.6%.

The U.S. video surveillance market alone is expected to increase from USD 11.27 billion in 2024 to USD 18.06 billion by 2030.

So what?

For security managers, this means AI surveillance is quickly shifting from an optional upgrade to a standard expectation. Organizations that delay adoption may find themselves at a disadvantage in liability protection, response speed, and even insurance coverage.

Standout AI Surveillance Options in 2025

Several companies are pushing the boundaries of what modern surveillance can do. Here’s a breakdown of their approaches, along with where they fit best:

Coram

Unlike many competitors, Coram enhances existing IP camera systems rather than replacing them. Its platform adds AI features like firearm detection, slip-and-fall alerts, and license-plate recognition. Beyond video, Coram provides an access control system and emergency management, allowing users to lock doors, trigger alarms, and coordinate responses from a single dashboard.

Best fit: Schools and mid-sized businesses with limited budgets that want advanced features without expensive hardware replacements.

Caution: Success depends on camera placement and quality; emergency protocols must be clear to avoid miscommunication during crises.

Reolink

Reolink has gained traction with its AI-enabled floodlight cameras, offering 4K clarity, 360-degree coverage, and on-device video search. With up to 512 GB of local storage, these cameras minimize cloud dependency and eliminate recurring fees (Reolink).

Best fit: Small businesses and homeowners looking for affordable, subscription-free AI security.

Caution: While cost-effective, Reolink may lack advanced enterprise integrations like multi-site management or compliance auditing.

Eufycam S4 with AI Core

Eufy’s newest model pairs 4K wide-angle capture with PTZ units capable of facial recognition up to 164 feet. Its upcoming AI Core enables on-device analysis of 100+ behavior patterns, reducing lag and ensuring quick alerts (TechRadar).

Best fit: Residential and retail spaces where real-time alerts are critical.

Caution: Eufy has faced scrutiny over privacy practices in the past, buyers should confirm updated compliance measures.

Marshall Electronics CV625

While most AI systems focus on security, Marshall’s CV625 leans toward professional environments. The dual-sensor camera combines PTZ functionality with AI-driven tracking, automatically following presenters and adjusting framing (Marshall Electronics).

Best fit: Hybrid workplaces, conference centers, or lecture halls needing dual-purpose equipment.

Caution: Less security-focused; better as a workplace productivity tool than a primary defense measure.

Synology C2 Surveillance

Synology’s cloud-based monitoring service simplifies surveillance across multiple sites by removing device licensing and centralizing control.

Best fit: Universities, warehouses, and logistics hubs that need scalability.

Caution: Dependence on stable internet means sites must invest in redundancy or backup solutions.

The U.S. Market Outlook

The rise of AI surveillance is being driven by three major forces:

Public safety concerns — Incidents of workplace violence and school shootings have increased pressure for proactive security.

Labor shortages — With fewer staff available, automation fills critical gaps.

Advances in edge computing — AI models can now run on-device, enabling faster, privacy-friendly analysis.

So what?

These drivers suggest adoption will accelerate not only in large enterprises but also in smaller organizations. However, backlash is likely, particularly around privacy, bias, and overreach. States like Illinois (BIPA) already regulate biometric data use, and more states are considering similar laws. Organizations must therefore balance adoption with compliance and transparency.

What Buyers Should Consider

Before committing to an AI surveillance system, decision-makers should evaluate:

Cost structure — Subscription-based vs. local storage.

Scalability — Can the system expand across multiple sites?

Integration — Is it compatible with existing cameras and access control systems?

Transparency — Can you audit alerts and verify accuracy?

Privacy compliance — Does it meet CCPA, BIPA, or other state/federal rules?

Support — Is U.S.-based customer service available?

So what?

The purchase decision is no longer about buying cameras but building a security ecosystem. The right choice will depend as much on governance and legal considerations as on technical specs.

Final Word

AI video surveillance systems are no longer niche experiments; they are fast becoming mainstream U.S. security infrastructure. From low-cost consumer cameras to enterprise-ready cloud platforms, the range of options has never been wider.

For some, Reolink’s affordability may be ideal. For others, Synology’s cloud ecosystem or Coram’s hardware-agnostic AI platform may offer the scalability and flexibility they need.

But here’s the bottom line: AI is turning surveillance from passive monitoring into active protection. Organizations that embrace it thoughtfully will enhance safety, efficiency, and resilience, while those that ignore privacy and compliance risk reputational and legal fallout.