Our 2026 safety trade predictions sequence enters the house stretch with Freddy Kuo, chairman at Luminys. He appears forward to a number of the greatest potential growth within the sector within the subsequent 12 months or extra. Kuo shared his 2025 safety trade reflections in a publish final month.
Freddy Kuo 2026 Safety Trade Predictions
Learn on to take a look at Freddy Kuo’s 2026 safety trade predictions. We’ll have extra predictions from others among the many brightest minds within the safety trade all through the month.
Safety Gross sales & Integration: What expertise class or resolution space do you see as 2026’s ripest, most worthwhile progress alternative for safety sellers, installers and integrators? Clarify your reasoning.
Freddy Kuo: Essentially the most fast alternative is context-aware video intelligence on the edge and supported by cloud studying. Prospects need methods that cut back monitoring workload, automate repeatable duties and supply early warnings tied to particular key efficiency indicators (KPIs) akin to uptime, throughput or danger discount.
Options that mix dependable low-light efficiency, on-device inference and constant analytics throughout fleets will see robust demand. Integrators who can ship methods that “perceive” quite than merely detect movement will create recurring, measurable worth.
SSI: Which rising safety applied sciences do you assume are overplayed? Which of them do you assume will actually rework the follow of safety integration within the coming years?
Kuo: Overplayed applied sciences are the “do-everything synthetic intelligence brokers” promising full autonomy with out regard for real-world constraints. They usually underdeliver as a result of they require high-touch engineering, lack environmental adaptability or fail to keep up context continuity throughout websites.
Applied sciences that can rework integration will likely be people who enhance consistency and “explainability.” AI fashions fall underneath this class so long as they interpret context, alter to environmental modifications and supply clear rationalization trails when efficiency drifts. These methods cut back service calls, enhance belief and allow operational insights past safety.
SSI: What’s getting higher in regards to the safety trade lately? What appears to be getting worse?
Kuo: Getting higher: Adoption of outcome-focused AI. Sellers and integrators are more and more framing methods round quantifiable enterprise objectives akin to investigation time, uptime or working value.
Getting worse: Alert fatigue and mannequin drift. As analytics proliferate, inconsistent tuning and fragmented deployments create noise. Poorly maintained AI turns into a legal responsibility quite than driving worth.
SSI: What’s liable to catch some safety trade sellers, installers and integrators off guard within the coming 12 months?
Kuo: The tempo at which prospects will count on fleet-wide consistency. It received’t be sufficient to put in {hardware} that works “more often than not.” Organizations will count on uniform efficiency throughout dozens or a whole bunch of web sites, no matter lighting, bandwidth or environmental variation. It will enhance the stress to undertake methods that adapt mechanically and keep accuracy with out handbook retuning.
SSI: What’s the one most urgent problem that professionals within the safety trade should sort out proper now? And the way would you recommend tackling it?
Kuo: The most important problem is bridging safety knowledge into operational workflows. Many organizations nonetheless deal with video as an remoted device, which limits its worth. By designing backward from outcomes (uptime, throughput, danger discount) integrators can establish particular workflows the place video intelligence can cut back friction. Small, focused wins will construct confidence and assist wider adoption.
SSI: End this sentence: 2026 will likely be remembered because the 12 months that the safety trade…
Kuo: … realized that worth comes from measurable enhancements, no more options — and shifted towards methods designed round KPIs, consistency and real-world reliability.
