This article provides a professional guide on How AI video surveillance will reshape US security by 2025. If you’re looking for insights into how AI is revolutionizing the US security ecosystem, read on for in-depth information and advice.
Safety is always about visibility, but in 2025 visibility alone is not enough. Across the United States, schools, retailers, hospitals and enterprises are adopting AI-powered surveillance systems that detect incidents in real time, analyze patterns and provide actionable alerts.
Traditional systems required staff to sift through hours of footage. AI changes the model by spotting unusual movements, identifying risks and predicting threats before they escalate. Surveillance is no longer a passive archive, but an active layer of protection.
For security leaders, the decision is less about whether to adopt AI and more about how to implement it quickly and responsibly. Adoption speed can impact liability, insurance and competitive advantage, while responsible use requires clear protocols, compliance and staff training.
We investigate “How AI video surveillance will reshape US security by 2025” in this article, with all the important information at your fingertips.
Let’s explore it together!
What is driving this shift – and why it matters
The growing adoption of AI in surveillance is not accidental; it is driven by powerful social, technological and security forces that are reshaping the way America protects its people.
1. The limitations of traditional supervision
Conventional video systems generate vast amounts of footage that is rarely viewed. Security teams are overwhelmed. Critical events can be missed and the response is often too late. In contrast, AI-enabled systems can:
- Automatically detect suspicious behavior (loitering, entering, burglary)
- Identify weapons, falls or other hazards
- Track patterns over time to help predict risk
This shift means that surveillance is no longer passive, but becomes an active layer in the organization’s defense.
2. Market momentum and scale of change
The scale of adoption reflects how quickly this shift is accelerating. The global market for AI in video surveillance was estimated at $6.51 billion in 2024 and is expected to achieve $28.76 billion by 2030with a compound annual growth rate (CAGR) of 30.6%.
This suggests that what is considered cutting edge today will become baseline within a few years. Falling costs in computing and storage, plus the push for smarter infrastructure (e.g. smart cities), are reinforcing the trend.
In the US, the broader video surveillance industry is also expanding, with a historic CAGR of ~10.6% to $16.7 billion in 2024.
Implication for readers: AI surveillance is moving from ‘nice to have’ to a strategic necessity. Delaying adoption will likely widen the gap in security, accountability and operational efficiency.
Supplier landscape: comparing approaches and trade-offs
Here’s a comparative look at notable platforms (some you mentioned earlier), along with the tradeoffs decision makers must weigh:
1. Koram
Coram improves existing IP camera systems instead of forcing expensive replacements. The platform adds detection of firearmsslip and fall alerts and license plate recognition, while access control and emergency management are combined in one dashboard. The main limitation is that results are highly dependent on camera quality and placement, and organizations must have clear protocols in place to avoid confusion during emergencies. Coram is best suited for schools and mid-sized businesses that want advanced AI features without major hardware costs.
2. Reolink
Reolink offers affordable floodlight cameras with AI support, 4K resolution, 360-degree coverage and up to 512 GB of local storage. This approach reduces dependence on cloud subscriptions and ongoing costs. The downside is that it lacks advanced business integrations such as multi-location management or compliance audits. Reolink is suitable for small businesses and homeowners who want simple, subscription-free AI security.
3. Eufycam S4 with AI Core
Eufy’s latest model offers 4K wide-angle recording, PTZ functionality and facial recognition at distances of up to 50 meters. The AI Core performs on-device analysis of over 100 behavioral patterns, ensuring faster alerts. However, the brand has faced criticism over privacy practices, so buyers should confirm compliance measures. Eufycam works best in residential and retail environments where real-time alerts are critical.
4. Marshall Electronics CV625
Marshall’s CV625 is designed more for professional environments than for pure security. It features a dual-sensor PTZ setup with AI tracking that follows presenters and automatically adjusts framing. While useful for hybrid workplaces, lecture halls or conference centers, it is less effective as a primary security solution.
5. Synology C2 Monitoring
Synology offers a cloud-based monitoring service that simplifies multi-site monitoring by removing device licenses and centralizing management. It is highly scalable, making it a good choice for universities, warehouses and logistics hubs. The risk lies in the dependence on a stable internet connection, which means organizations need redundancy or backup solutions to prevent downtime.
What to watch: When evaluating suppliers, don’t just compare specifications. Ask about integration with existing systems (access control, alarms), audit trails, alert validation, scalability and vendor support (especially US-based escalation).
Regulatory and legal complexity: why governance cannot be an afterthought
Adopting AI surveillance is not just a technical or budgetary decision, it is essentially a governance decision. In the US, the regulatory landscape is evolving, especially around biometrics and privacy.
Biometric privacy and BIPA
Illinois’ Biometric Information Privacy Act (BIPA) is among the most robust laws at the state level. Entered 2008, BIPA Requires any entity that collects biometric identifiers (e.g. fingerprints, facial geometry):
- Inform the subject of the collection
- Provide a written statement
- Limit data retention and disclosure
- Obtain consent before collecting or recording data
In August 2024, Illinois changed BIBIPAB 2979 to address criticism of runaway liability. Under the update:
- Multiple scans or revelations of the the same biometric data on the same subject using the same method now counts as a single violation (rather than each instance triggering separate claims).
- The law now explicitly recognizes this electronic signatures for consent (e.g. clickwrap) as valid “written release.
What decision makers should ask before committing
Below is a practical due diligence checklist you can use (or share) when evaluating AI video surveillance systems:
- Cost model and total cost of ownership
- Subscription vs. one-time license vs. perpetual license on the device
- Cadence for hardware renewal, maintenance and cloud costs
- Scalability and orchestration across multiple locations
- Can the system scale seamlessly across many locations?
- How are updates, licenses, and policy changes managed at scale?
- Integration and interoperability
- Works with existing camera/infrastructure?
- Ability to integrate with access control, alarms and building systems
- Explainability and verifiability
- Can warnings be traced to input functions or model logic?
- Can human operators override or validate AI decisions?
- Privacy and compliance
- How is biometric data processed, stored and deleted?
- What consent flows and disclosures are built in?
- Supplier support and operations
- Where is the support located (US vs. offshore)?
- What are SLAs, escalation paths, patches and updates?
- Pilot test and performance metrics
- Conduct a pilot in a controlled environment; Define KPIs (false positive rate, detection latency, recall)
- Stress test for edge cases (poor lighting, occlusion, hostile attempts)
If possible, request third-party validation or performance testing (e.g. against standard datasets such as MOT, COCO, etc.) and review case studies specific to your industry (education, retail, healthcare, etc.).
Conclusion 🙂
AI video surveillance is reshaping American security with smarter, faster, and more predictive capabilities. From city safety to corporate campuses, its influence is undeniable. However, the real progress lies in balancing innovation and ethics – ensuring that AI serves citizens without violating their rights.
As technology evolves, one principle remains constant: security must protect both people and privacy.
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Have you seen AI-powered surveillance being used in your city or workplace? Share your thoughts or experiences in the comments below – we’d love to hear from you!
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